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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Glob. Women&#x2019;s Health</journal-id><journal-title-group>
<journal-title>Frontiers in Global Women&#x2019;s Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Glob. Women&#x2019;s Health</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2673-5059</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fgwh.2026.1767865</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Clinical Trial</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Efficacy and safety of Ashwagandha (<italic>Withania somnifera</italic>) root extract in pregnant women: a prospective, randomized, comparative, open-label, 12-week study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Ajgaonkar</surname><given-names>Ashutosh</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="https://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author"><name><surname>Tayade</surname><given-names>Himanshu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Nayak</surname><given-names>Anirudha</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/3317032/overview"/><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role><role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role></contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Department of Obstetrics &#x0026; Gynaecology Division, Trupti Hospital</institution>, <city>Thane West</city>, <state>Maharashtra</state>, <country country="in">India</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Pharmacology, D Y Patil University School of Medicine</institution>, <city>Pune</city>, <state>Maharashtra</state>, <country country="in">India</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Pharmacology, D Y Patil University School of Medicine</institution>, <city>Navi Mumbai</city>, <state>Maharashtra</state>, <country country="in">India</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Anirudha Nayak <email xlink:href="mailto:anirudhanayak2000@gmail.com">anirudhanayak2000@gmail.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-12"><day>12</day><month>02</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2026</year></pub-date>
<volume>7</volume><elocation-id>1767865</elocation-id>
<history>
<date date-type="received"><day>15</day><month>12</month><year>2025</year></date>
<date date-type="rev-recd"><day>07</day><month>01</month><year>2026</year></date>
<date date-type="accepted"><day>19</day><month>01</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Ajgaonkar, Tayade and Nayak.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Ajgaonkar, Tayade and Nayak</copyright-holder><license><ali:license_ref start_date="2026-02-12">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p></license>
</permissions>
<abstract><sec><title>Introduction</title>
<p>Pregnancy is associated with increased risk of anemia, high psychological stress, and sleep disturbances, yet safe therapeutic options remain limited. Ashwagandha (<italic>Withania somnifera</italic>) root extract (ARE) possesses adaptogenic and hematopoietic potential, but evidence in pregnant women is scarce. The aim of the current study is to evaluate the efficacy and safety of ARE on hematological parameters and on stress, sleep quality, and laboratory safety markers in pregnant women.</p>
</sec><sec><title>Methods</title>
<p>This 12-week, prospective, randomized, open-label, comparative trial enrolled 70 pregnant women in the second trimester. Participants received either ARE 300&#x2005;mg twice daily plus standard hematinic therapy or standard hematinic therapy (standard of care; SOC) alone. Primary endpoints included changes in hemoglobin (Hb) and red blood cell (RBC) indices. Secondary endpoints included perceived stress, sleep quality, and safety assessments (adverse events, liver, renal, cardiac, and thyroid markers). Efficacy was analyzed in the per-protocol population; safety in the intention-to-treat population.</p>
</sec><sec><title>Results</title>
<p>Of 70 randomized participants, 63 completed the study (ARE: <italic>n</italic>&#x2009;&#x003D;&#x2009;32; SOC: <italic>n</italic>&#x2009;&#x003D;&#x2009;31). ARE supplementation produced significant improvements in hematological parameters: Hb increased by 1.06&#x2009;&#x00B1;&#x2009;0.44&#x2005;g/dL vs. 0.78&#x2009;&#x00B1;&#x2009;0.24&#x2005;g/dL with SOC (between-group difference 0.28&#x2005;g/dL; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.003), mean corpuscular hemoglobin concentration improved significantly (difference 0.73&#x2005;g/dL; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.017), and red cell distribution width decreased markedly (difference &#x2212;0.57&#x0025;; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). RBC count and hematocrit showed favorable but non-significant trends. ARE significantly reduced perceived stress at Week 12 (&#x2013;10.50 vs. &#x2212;5.35; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) and improved key sleep parameters, including subjective sleep quality at all visits (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.036), sleep duration (Week 8 and 12; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and sleep disturbances (Week 12; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.028). No adverse events or serious adverse events occurred. Laboratory evaluations showed no detrimental effects on hepatic, renal, or thyroid function.</p>
</sec><sec><title>Discussion</title>
<p>ARE supplementation for 12 weeks improved hemoglobin levels, RBC quality, perceived stress, and multiple aspects of sleep in pregnant women, with no adverse events and stable organ-function markers. ARE appears to be a tolerable and suitable adjunct to standard prenatal care for supporting hematological and psychological well-being during pregnancy.
</p>
</sec><sec><title>Clinical Trial Registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MTIyNjQ2&#x0026;Enc=&#x0026;userName=">https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MTIyNjQ2&#x0026;Enc=&#x0026;userName=</ext-link>, identifier CTRI/2025/01/079238 on January 22, 2025.</p>
</sec>
</abstract>
<kwd-group>
<kwd><italic>Withania somnifera</italic></kwd>
<kwd>hemoglobin</kwd>
<kwd>pregnancy</kwd>
<kwd>anemia</kwd>
<kwd>stress and sleep</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement></funding-group><counts>
<fig-count count="3"/>
<table-count count="4"/><equation-count count="0"/><ref-count count="29"/><page-count count="14"/><word-count count="0"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Maternal Health</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><title>Introduction</title>
<p>The prenatal period is a phase of physiological and psychological change for both the mother and the fetus. This stage is indicated by rapid cellular, hormonal, and metabolic modifications that are crucial for supporting maternal well-being and optimal fetal growth (<xref ref-type="bibr" rid="B1">1</xref>). Several health factors like anemia, psychological stress, and sleep inadequacy require close monitoring during pregnancy, as they significantly influence the maternal and neonatal outcome (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Anemia is one of the predominant medical complications during pregnancy and is considered a major global public health concern. According to the World Health Organization (WHO, 2025), about 35.5&#x0025; of pregnant women worldwide suffer from anemia. Although frequency has reduced from 40.3&#x0025; (2000) to 33.5&#x0025; (2023), anemia in pregnancy is still considered a major global health challenge (WHO global anemia estimates, 2025 (<xref ref-type="bibr" rid="B3">3</xref>). Maternal anemia is associated with serious complications like premature membrane rupture, postpartum hemorrhage, and impaired postpartum recovery. For the fetus, anemia increases the risk of low birth weight, preterm delivery, and neonatal asphyxia. Therefore, regular monitoring of hemoglobin (Hb) levels and timely treatment remain essential for prenatal care (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Along with anemia, psychological stress has developed as a serious but often underrecognized factor during pregnancy (<xref ref-type="bibr" rid="B5">5</xref>). Prenatal stress is associated with both maternal complications and adverse child outcomes, including altered neurodevelopment and increased susceptibility to metabolic disorders later in life (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Stress not only affects as a single factor but also contributes to anemia through mechanisms such as reduced nutrient absorption (iron and folate), increased hepcidin activity, systemic inflammation, and oxidative damage to erythrocytes (<xref ref-type="bibr" rid="B7">7</xref>). Sleep disturbance represents another interlinked factor, where stress disrupts sleep quality, while poor sleep further aggravates stress and fatigue (<xref ref-type="bibr" rid="B8">8</xref>). Nutrient deficiencies, including iron and magnesium depletion during chronic stress, additionally impair restorative sleep, creating a triangle of interconnected health burdens during pregnancy (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Management of stress, insomnia, and mild mental health symptoms in pregnancy presents unique clinical challenges. While non-pharmacological strategies such as relaxation techniques, lifestyle modification, and sleep hygiene are preferred as first-line interventions, many women may require additional therapeutic support (<xref ref-type="bibr" rid="B10">10</xref>). However, pharmacological treatment options remain limited due to concerns about placental transfer, teratogenic potential, neonatal adaptation syndromes, and maternal tolerability. This therapeutic dilemma has led to growing interest in alternative strategies, particularly herbal medicines, which are often perceived as natural and safe (<xref ref-type="bibr" rid="B11">11</xref>). In addition to routine supplementation, supportive therapies may play a complementary role in enhancing maternal well-being and addressing interconnected factors such as stress, sleep disturbance, and nutritional status (<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Women are the primary users of herbal medicines and often continue their use during pregnancy, with prevalence ranging from 7&#x0025; to 55&#x0025; depending on geographic location, ethnicity, cultural traditions, and social status. Reported usage includes about 34&#x0025; in Australia, nearly 50&#x0025; in the European Union, and 6&#x0025;&#x2013;9&#x0025; in the USA and Canada (<xref ref-type="bibr" rid="B13">13</xref>). The current study focused on Ashwagandha.</p>
<p>Ashwagandha (<italic>Withania somnifera</italic>), a traditional adaptogenic herb from Ayurvedic medicine, has received increasing scientific attention for its adaptogenic, antioxidant, anti-inflammatory, and neuroprotective properties. It regulates the hypothalamic-pituitary-adrenal (HPA) axis, normalizes cortisol levels, and exerts GABAergic and serotonergic effects, thereby promoting resilience to stress. Preliminary evidence also supports its role in enhancing cognitive performance, reducing fatigue, and improving sleep quality (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Preclinical investigations further support its safety, with orally administered Ashwagandha root extract (ARE) demonstrating a No Observed Adverse Effect Level (NOAEL) of 2,000&#x2005;mg/kg body weight. Notably, no toxicity was observed in developing fetuses or pups when adult male and female rats received the extract during reproduction, highlighting its favorable safety profile in reproductive contexts (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Notably, a multi-herbal formulation containing <italic>Withania somnifera</italic>, <italic>Emblica officinalis</italic>, <italic>Asparagus racemosus</italic>, and <italic>Pueraria tuberosa</italic> has previously demonstrated efficacy and safety in managing anemia among pregnant women (<xref ref-type="bibr" rid="B17">17</xref>). However, the isolated efficacy and safety profile of Ashwagandha root extract during pregnancy has not been systematically evaluated. Given its growing popularity, elucidating its role in maternal health is both timely and essential.</p>
<p>In view of the need for safe and effective interventions addressing stress, anemia, and sleep disturbances during pregnancy, and the increasing use of herbal supplements in the pregnant population, the present investigation is designed to evaluate ARE as a single intervention. This study is a prospective, randomized, comparative, 12-week clinical trial aimed at rigorously assessing both the efficacy and safety of ARE in pregnant women.</p>
</sec>
<sec id="s2" sec-type="methods"><title>Materials and methods</title>
<sec id="s2a"><title>Study objectives</title>
<sec id="s2a1"><title>Primary objectives</title>
<p>The study evaluated the efficacy of ARE on Hb and red blood cell (RBC) indices in pregnant women.</p>
</sec>
<sec id="s2a2"><title>Secondary objectives</title>
<p>The study evaluated the safety of ARE in pregnant women, as well as its effects on stress levels and sleep quality.</p>
</sec>
</sec>
<sec id="s2b"><title>Study design</title>
<p>This was an open-label, prospective, randomized, comparative, 12-week treatment period trial. The clinical study protocol was approved by the Institutional Ethics Committee (IEC) of Biomedical and Health Research (IEC Reference No: EC/NEW/INST/2019/473). The study was prospectively registered with the Clinical Trials Registry of India (CTRI) with registration number CTRI/2025/01/079238 on January 22, 2025. The study followed the principles described in the Consolidated Standards of Reporting Trials (CONSORT) declaration. This study was carried out in compliance with the ICH GCP E6 R2 2016(Step 4), &#x2018;Guidance for Good Clinical Practices (GCP)&#x2019;, New Drugs and Clinical Trials Rules (2019) and Declaration of Helsinki (Taipei 2016). Written informed consent was obtained from each pregnant woman. Investigators provided a full explanation of the protocol, which was documented on a written consent form available in Hindi, English, and Marathi (as applicable to the participant). Participants attended a screening/enrollment/baseline visit (Day 1), followed by visits at weeks 4, 8, and 12. The study was conducted at Trupti Hospital, Thane, Maharashtra, India, from 01 February 2025 to 28 May 2025.</p>
<p>The test group received capsules containing ARE (300&#x2005;mg twice daily) as add-on therapy to the standard of care (SOC), which included an Autrin Hematinic Capsule containing Cyanocobalamin (15&#x2005;mcg), Iron (98.6&#x2005;mg) &#x0026; Folic Acid (1.5&#x2005;mg) twice daily. The control group received the standard hematinic only. The enrolled participants self-administered the oral intervention and were asked to return any unused dosages at Visit 4 and Week 12. Adherence to the assigned regimen was assessed by study personnel by recording the number of capsules dispensed and returned at each visit. Subjects who took 80&#x0025; or more of the planned study medications were considered compliant.</p>
</sec>
<sec id="s2c"><title>Randomization</title>
<p>The randomization schedule was generated using the PC-based program Rando (Version 1.2, R. Raveendran). After providing written informed consent, each subject was assigned a unique screening number, and upon confirmation of eligibility, a randomization number was allocated according to the schedule. In this open label trial, subjects were randomized in a 1:1 ratio to receive either the intervention or the comparator.</p>
</sec>
<sec id="s2d"><title>Sample size</title>
<p>A total of 70 healthy pregnant women were enrolled to assess the efficacy and safety of standardized Ashwagandha root extract. Sample size was calculated based on effect sizes reported in a recent study of the Ayurvedic preparation Sangfer (BPRL, Bengaluru, India), which demonstrated an increase in Hb from 8.08&#x2009;&#x00B1;&#x2009;0.39 to 11.19&#x2009;&#x00B1;&#x2009;0.67&#x2005;g/dL over 12 weeks, corresponding to a mean change of 3.11&#x2005;g/dL (<xref ref-type="bibr" rid="B17">17</xref>). For the present trial, a change of 2.48&#x2005;g/dL (80&#x0025; of 3.11) was assumed for the standard of care (SOC) group. With a two-sided <italic>&#x03B1;</italic> of 0.05, 90&#x0025; power, an expected mean difference of 0.62&#x2005;g/dL between groups, and a standard deviation of 0.66, the required sample size was estimated at 56 participants (28 per arm). To assess the study objective at 80&#x0025; power and 5&#x0025; alpha, and allowing for a 10&#x0025; dropout rate, the total planned enrollment was 70 participants (35 per arm).</p>
</sec>
<sec id="s2e"><title>Participants</title>
<sec id="s2e1"><title>Inclusion criteria</title>
<p>Pregnant women aged 18&#x2013;35 years in the second trimester (12&#x2013;24 weeks) with a normal pregnancy and no significant comorbidities were enrolled. Those willing to comply with the study protocol, attend all follow-up visits, and who provided written informed consent after understanding the study procedures, risks, and benefits were included.</p>
</sec>
<sec id="s2e2"><title>Exclusion criteria</title>
<p>Women with any comorbid conditions, including uncontrolled diabetes, hypertension, renal failure, or cardiovascular disease, were excluded. Those with a history of miscarriage, preterm labor, or pregnancy complications such as preeclampsia or gestational diabetes were not included. Participants with thyroid or other endocrine disorders, psychiatric disorders, substance abuse, severe anemia (Hb&#x2009;&#x2264;&#x2009;8&#x2005;g/dL), bleeding disorders, or life-threatening pregnancy complications within the past six months (e.g., stroke, myocardial infarction) were excluded. Women with infections or immunodeficiency disorders (e.g., HIV/AIDS or other sexually transmitted diseases), high alcohol consumption (&#x003E;2 standard drinks/day), smoking, illicit drug use, or participation in another clinical trial within 30 days prior to enrollment were also excluded.</p>
<p>Participants were withdrawn prior to study completion in cases of voluntary withdrawal of consent, violation of the exercise or therapy regimen, occurrence of serious adverse events (SAEs), worsening of pre-existing conditions, or any other situation deemed unsafe by the investigator. All reasons for withdrawal were documented, appropriate referrals were provided, and end-of-study procedures were performed in cases of premature withdrawal.</p>
</sec>
</sec>
<sec id="s2f"><title>Investigational products</title>
<p>The test product is a standardized root extract of <italic>Withania somnifera</italic>, supplied by Ixoreal Biomed Inc. (Los Angeles, California (KSM-66 Ashwagandha &#x00AE;), USA) and manufactured using a green-chemistry, aqueous-based extraction process. The extract is a light yellowish-brown, slightly hygroscopic powder, soluble in water, with a measured pH of 4.76 (5&#x0025; w/v aqueous solution) and a bulk density of 0.58&#x2005;g/cc (tapped bulk density 0.78&#x2005;g/cc). It is standardized to contain &#x003E;5&#x0025; total withanolides. Withanone and withaferin A are in negligible amounts. HPLC analysis confirmed 5.33&#x0025; total withanolides. Heavy metals (Pb&#x2009;&#x003C;&#x2009;0.05&#x2005;ppm, Cd&#x2009;&#x003C;&#x2009;0.01&#x2005;ppm, As&#x2009;&#x003C;&#x2009;0.01&#x2005;ppm, Hg&#x2009;&#x003C;&#x2009;0.01&#x2005;ppm) were below quantification limits. Microbial counts complied with USP &#x2329;561&#x232A; limits, with the absence of <italic>Escherichia coli, Salmonella spp</italic>., and <italic>Staphylococcus aureus</italic>. It is stable for three years when stored under recommended temperature conditions (22&#x2009;&#x00B1;&#x2009;3&#x2005;&#x00B0;C). The control group received oral hematinic Autrin Capsule containing Cyanocobalamin (15&#x2005;mcg), Iron (98.6&#x2005;mg) &#x0026; Folic Acid (1.5&#x2005;mg) twice daily.</p>
</sec>
<sec id="s2g"><title>Study endpoints</title>
<sec id="s2g1"><title>Primary endpoints</title>
<sec id="s2g1a"><title>Hb and RBC indices</title>
<p>The primary endpoints of the study were Hemoglobin (Hb) concentration and red blood cell (RBC) indices, including RBC count, hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and red cell distribution width (RDW), assessed at baseline and each follow-up visit (Weeks 4, 8 and 12).</p>
</sec>
</sec>
<sec id="s2g2"><title>Secondary endpoints</title>
<sec id="s2g2a"><title>Clinical adverse events</title>
<p>Subjects were monitored continuously for adverse events (AEs), whether spontaneously reported by participants or observed by the investigator, which were recorded, managed, and assessed for intensity and causality. Intensity was rated on a three-point scale as mild (awareness of symptoms without disruption of usual activity), moderate (sufficient to affect usual activity), or severe (inability to perform usual activities). Causality was assessed on a five-point scale as unrelated, unlikely, possible, probable, or certain, based on association with the investigational product. AEs requiring therapy were treated according to recognized medical standards, with resuscitation equipment and medicines available for emergencies, and outcomes were classified as complete recovery, incomplete recovery, recovered with sequelae, unknown, or death.</p>
<p>SAEs were defined as events resulting in death, life-threatening situations, hospitalization or prolonged hospitalization, persistent or significant disability, or congenital anomalies. Unexpected AEs were those inconsistent with product information. Other significant AEs included marked laboratory abnormalities or events leading to interventions such as dose reduction, treatment withdrawal, or additional therapy. Participants who discontinued due to AEs were followed until resolution or stabilization, and clinically relevant laboratory abnormalities were repeated and monitored until normalized or explained. All SAEs were reported to the investigator within 24&#x2005;h and documented in detail on the Serious Adverse Event Report Form.</p>
<p>Safety data were periodically reviewed by an independent oversight committee (clinician, statistician, ethicist), fulfilling the role of a Data Safety Monitoring Board.</p>
</sec>
</sec>
</sec>
<sec id="s2h"><title>Laboratory assessments</title>
<p>At each scheduled prenatal visit, venous blood samples were collected from pregnant participants in the morning hours (08:00&#x2013;10:00 AM) by trained obstetric nursing staff or certified phlebotomists using aseptic precautions. Approximately 3&#x2013;5&#x2005;mL of maternal venous blood was drawn from the antecubital vein into EDTA vacutainer tubes, ensuring minimal discomfort and adherence to safe sampling practices for pregnancy. Samples were gently inverted to maintain anticoagulation and transported promptly to the laboratory, typically within one hour. Hematological and laboratory parameters were analyzed using an automated hematology analyzer operating on impedance and photometric principles (Sysmex XN-1000), with calibration performed as per manufacturer recommendations and daily internal quality controls to ensure analytical reliability. All laboratory results were cross-verified by two independent technicians prior to entry into the study database.</p>
</sec>
<sec id="s2i"><title>Maternal stress</title>
<p>The Perceived Stress Scale (PSS-10) is a widely used instrument for assessing perceived stress, measuring the degree to which individuals appraise their lives as unpredictable, uncontrollable, or overloaded. Participants reported how often they experienced specific feelings and thoughts during the past month using a 5-point scale where 0 was never, 1 was almost never, 2 was sometimes, 3 was often, and 4 was very often. Scores for items 4, 5, 7, and 8 were reverse-coded with 0 as 4, 1 as 3, 2 as 2, 3 as 1, and 4 as 0, and the total score was calculated by summing all items. Total scores were interpreted with 0&#x2013;13 indicating low stress, 14&#x2013;26 indicating moderate stress, and 27&#x2013;40 indicating high stress (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec id="s2j"><title>Maternal sleep quality</title>
<p>The Pittsburgh Sleep Quality Index (PSQI) is a validated instrument used to assess sleep quality and patterns in adults. It differentiates poor from good sleep quality by evaluating seven components, which include subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medications, and daytime dysfunction over the past month. The sum of the seven component scores produced a global score ranging from 0 to 21, with higher scores indicating worse sleep quality (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
<sec id="s2k"><title>Statistical analysis</title>
<p>Continuous variables such as age, weight, BMI, and other demographic characteristics were summarized using descriptive statistics, including the number of observations, mean and standard deviation with 95&#x0025; confidence intervals for normally distributed data, or median with range for non-normally distributed data. Categorical variables, including gender and clinical examination findings, were summarized using frequencies and percentages. Medical history and physical examination results were also presented as frequencies and percentages for the safety population. Comparisons of baseline demographic data and follow-up changes between groups were performed using the student&#x0027;s <italic>t</italic>-test for continuous variables and the Chi-square test for categorical variables. Microsoft Windows-based program MedCalc&#x00AE; Statistical Software version 23.3.7 (MedCalc Software Ltd, Ostend, Belgium; <ext-link ext-link-type="uri" xlink:href="https://www.medcalc.org">https://www.medcalc.org</ext-link>; 2025) was used for analysis. All analyses were done using two-side tests at alpha 0.05 (95&#x0025; confidence levels).</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><title>Results</title>
<p>A total of 102 pregnant women were assessed for eligibility, of whom 70 met the inclusion criteria and were randomized to receive either ARE supplementation (<italic>n</italic>&#x2009;&#x003D;&#x2009;35) or SOC (<italic>n</italic>&#x2009;&#x003D;&#x2009;35) (<xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>; <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). During the study, three participants in the ARE group and four in the SOC group were lost to follow-up, resulting in 32 and 31 participants, respectively, included in the per-protocol (PP) efficacy analysis. Safety analyses were conducted on the intent-to-treat (ITT) population, which included all randomized participants (ARE: <italic>n</italic>&#x2009;&#x003D;&#x2009;35; SOC: <italic>n</italic>&#x2009;&#x003D;&#x2009;35).</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>CONSORT flow diagram.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-07-1767865-g001.tif"><alt-text content-type="machine-generated">Flowchart illustrating a clinical trial process. Enrollment: 102 assessed, 19 screen failures, 7 did not meet criteria, 6 declined. Randomized 70: 35 to ARE, all received intervention, 3 lost to follow-up. Analysis shows 32 in PP dataset and 35 in ITT dataset. Other 35 allocated to SOC, all received intervention, 4 lost to follow-up. Analysis shows 31 in PP dataset and 35 in ITT dataset.</alt-text>
</graphic>
</fig>
<p>At baseline, the hematological parameters, including Hb, RBC count, haematocrit, MCHC, MCV, and RDW, were comparable in the ARE and SOC groups (<xref ref-type="table" rid="T1">Table&#x00A0;1</xref>).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>Profile of participants at baseline in ITT dataset (<italic>n</italic>&#x2009;&#x003D;&#x2009;70).</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2"/>
<th valign="top" align="center" rowspan="2">Parameters</th>
<th valign="top" align="center">ARE (<italic>n</italic>&#x2009;&#x003D;&#x2009;35)</th>
<th valign="top" align="center">SOC (<italic>n</italic>&#x2009;&#x003D;&#x2009;35)</th>
<th valign="top" align="center">Unpaired <italic>t</italic> test</th>
</tr>
<tr>
<th valign="top" align="center">Mean (SD.)</th>
<th valign="top" align="center">Mean (SD.)</th>
<th valign="top" align="center"><italic>p</italic>&#x002A;</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="4">Demography</td>
<td valign="top" align="left">Age (yrs)</td>
<td valign="top" align="center">29.09 (3.04)</td>
<td valign="top" align="center">29.83 (2.80)</td>
<td valign="top" align="center">0.292</td>
</tr>
<tr>
<td valign="top" align="left">Height (cm)</td>
<td valign="top" align="center">157.46 (5.72)</td>
<td valign="top" align="center">156.11 (4.66)</td>
<td valign="top" align="center">0.285</td>
</tr>
<tr>
<td valign="top" align="left">Weight (kg)</td>
<td valign="top" align="center">64.79 (7.36)</td>
<td valign="top" align="center">62.81 (7.98)</td>
<td valign="top" align="center">0.286</td>
</tr>
<tr>
<td valign="top" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="top" align="center">26.24 (3.60)</td>
<td valign="top" align="center">25.86 (3.75)</td>
<td valign="top" align="center">0.666</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="5">Physical examination</td>
<td valign="top" align="left">SBP (mmHg)</td>
<td valign="top" align="center">123.66 (6.95)</td>
<td valign="top" align="center">124.34 (8.01)</td>
<td valign="top" align="center">0.703</td>
</tr>
<tr>
<td valign="top" align="left">DBP (mmHg)</td>
<td valign="top" align="center">79.31 (6.47)</td>
<td valign="top" align="center">80.57 (7.12)</td>
<td valign="top" align="center">0.442</td>
</tr>
<tr>
<td valign="top" align="left">PR (bpm)</td>
<td valign="top" align="center">76.91 (5.43)</td>
<td valign="top" align="center">76.17 (4.40)</td>
<td valign="top" align="center">0.532</td>
</tr>
<tr>
<td valign="top" align="left">Temp (&#x00B0;C)</td>
<td valign="top" align="center">98.36 (0.51)</td>
<td valign="top" align="center">98.23 (0.61)</td>
<td valign="top" align="center">0.353</td>
</tr>
<tr>
<td valign="top" align="left">RR (breaths/min)</td>
<td valign="top" align="center">18.63 (2.60)</td>
<td valign="top" align="center">17.31 (1.75)</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">Haematology</td>
<td valign="top" align="left">Hb (g/dL)</td>
<td valign="top" align="center">11.55 (1.05)</td>
<td valign="top" align="center">11.58 (1.06)</td>
<td valign="top" align="center">0.909</td>
</tr>
<tr>
<td valign="top" align="left">RBC (million/&#x00B5;L)</td>
<td valign="top" align="center">3.62 (0.36)</td>
<td valign="top" align="center">3.56 (0.36)</td>
<td valign="top" align="center">0.486</td>
</tr>
<tr>
<td valign="top" align="left">Hct (&#x0025;)</td>
<td valign="top" align="center">35.09 (1.26)</td>
<td valign="top" align="center">35.73 (1.36)</td>
<td valign="top" align="center">0.045</td>
</tr>
<tr>
<td valign="top" align="left">MCV (fL)</td>
<td valign="top" align="center">92.02 (6.26)</td>
<td valign="top" align="center">89.61 (6.49)</td>
<td valign="top" align="center">0.118</td>
</tr>
<tr>
<td valign="top" align="left">MCHC (g/dL)</td>
<td valign="top" align="center">34.34 (1.17)</td>
<td valign="top" align="center">34.60 (1.44)</td>
<td valign="top" align="center">0.410</td>
</tr>
<tr>
<td valign="top" align="left">RDW (&#x0025;)</td>
<td valign="top" align="center">13.63 (1.07)</td>
<td valign="top" align="center">13.47 (1.02)</td>
<td valign="top" align="center">0.528</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">Liver Function Test (LFT)</td>
<td valign="top" align="left">Total Bilirubin (mg/dL)</td>
<td valign="top" align="center">0.41 (0.05)</td>
<td valign="top" align="center">0.43 (0.04)</td>
<td valign="top" align="center">0.035</td>
</tr>
<tr>
<td valign="top" align="left">Direct Bilirubin (mg/dL)</td>
<td valign="top" align="center">0.07 (0.04)</td>
<td valign="top" align="center">0.08 (0.05)</td>
<td valign="top" align="center">0.457</td>
</tr>
<tr>
<td valign="top" align="left">Indirect Bilirubin (mg/dL)</td>
<td valign="top" align="center">0.28 (0.09)</td>
<td valign="top" align="center">0.28 (0.07)</td>
<td valign="top" align="center">0.780</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">10.12 (3.89)</td>
<td valign="top" align="center">10.36 (3.89)</td>
<td valign="top" align="center">0.804</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">14.63 (2.60)</td>
<td valign="top" align="center">14.46 (2.60)</td>
<td valign="top" align="center">0.803</td>
</tr>
<tr>
<td valign="top" align="left">ALP (U/L)</td>
<td valign="top" align="center">94.68 (29.23)</td>
<td valign="top" align="center">96.21 (24.94)</td>
<td valign="top" align="center">0.814</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Renal Function Test (RFT)</td>
<td valign="top" align="left">Creatinine (mg/dL)</td>
<td valign="top" align="center">0.55 (0.25)</td>
<td valign="top" align="center">0.53 (0.28)</td>
<td valign="top" align="center">0.828</td>
</tr>
<tr>
<td valign="top" align="left">BUN (mg/dL)</td>
<td valign="top" align="center">8.61 (2.16)</td>
<td valign="top" align="center">8.46 (2.09)</td>
<td valign="top" align="center">0.776</td>
</tr>
<tr>
<td valign="top" align="left">Cardiac Marker</td>
<td valign="top" align="left">CK-MB (ng/mL)</td>
<td valign="top" align="center">3.00 (0.68)</td>
<td valign="top" align="center">3.13 (0.76)</td>
<td valign="top" align="center">0.459</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Thyroid profile</td>
<td valign="top" align="left">TSH (&#x00B5;IU/mL)</td>
<td valign="top" align="center">1.42 (0.94)</td>
<td valign="top" align="center">1.32 (0.95)</td>
<td valign="top" align="center">0.640</td>
</tr>
<tr>
<td valign="top" align="left">T4 (&#x00B5;g/dL)</td>
<td valign="top" align="center">9.18 (6.78)</td>
<td valign="top" align="center">11.12 (6.85)</td>
<td valign="top" align="center">0.237</td>
</tr>
<tr>
<td valign="top" align="left">T3 (ng/dL)</td>
<td valign="top" align="center">120.46 (59.55)</td>
<td valign="top" align="center">136.41 (59.99)</td>
<td valign="top" align="center">0.268</td>
</tr>
<tr>
<td valign="top" align="left">Perceived Stress Score (PSS)</td>
<td valign="top" align="left">PSS (score)</td>
<td valign="top" align="center">18.31 (2.92)</td>
<td valign="top" align="center">18.17 (1.79)</td>
<td valign="top" align="center">0.806</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="10">Pittsburgh Sleep Quality Index (PSQI) Domain Score<xref ref-type="table-fn" rid="TF2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="left">Time to sleep</td>
<td valign="top" align="center">1.17 (0.86)</td>
<td valign="top" align="center">1.09 (0.82)</td>
<td valign="top" align="center">0.670</td>
</tr>
<tr>
<td valign="top" align="left">Sleep duration (hrs.)</td>
<td valign="top" align="center">7.43 (1.39)</td>
<td valign="top" align="center">7.24 (1.39)</td>
<td valign="top" align="center">0.579</td>
</tr>
<tr>
<td valign="top" align="left">Sleep quality (C1; Sub)</td>
<td valign="top" align="center">2.66 (0.48)</td>
<td valign="top" align="center">2.57 (0.56)</td>
<td valign="top" align="center">0.494</td>
</tr>
<tr>
<td valign="top" align="left">Sleep latency (C2)</td>
<td valign="top" align="center">2.00 (1.00)</td>
<td valign="top" align="center">2.09 (0.82)</td>
<td valign="top" align="center">0.696</td>
</tr>
<tr>
<td valign="top" align="left">Sleep duration (C3)</td>
<td valign="top" align="center">1.77 (1.31)</td>
<td valign="top" align="center">1.80 (1.23)</td>
<td valign="top" align="center">0.925</td>
</tr>
<tr>
<td valign="top" align="left">Sleep efficiency (C4)</td>
<td valign="top" align="center">1.37 (1.35)</td>
<td valign="top" align="center">1.26 (1.12)</td>
<td valign="top" align="center">0.701</td>
</tr>
<tr>
<td valign="top" align="left">Sleep disturbance (C5)</td>
<td valign="top" align="center">2.49 (0.56)</td>
<td valign="top" align="center">2.51 (0.56)</td>
<td valign="top" align="center">0.832</td>
</tr>
<tr>
<td valign="top" align="left">Sleep medication (C6)</td>
<td valign="top" align="center">1.71 (0.71)</td>
<td valign="top" align="center">1.89 (0.83)</td>
<td valign="top" align="center">0.357</td>
</tr>
<tr>
<td valign="top" align="left">Daytime dysfunction (C7)</td>
<td valign="top" align="center">1.80 (0.76)</td>
<td valign="top" align="center">1.77 (1.14)</td>
<td valign="top" align="center">0.902</td>
</tr>
<tr>
<td valign="top" align="left">Global PSQI score</td>
<td valign="top" align="center">13.80 (2.81)</td>
<td valign="top" align="center">13.89 (2.26)</td>
<td valign="top" align="center">0.888</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><label>&#x002A;</label>
<p><italic>p</italic>, value was obtained using an unpaired <italic>t</italic> test; ITT, intent-to-treat; ARE, Ashwagandha root extract; SOC, standard of care; Age (yrs.), age in years; BMI (kg/sq.m<sup>2</sup>), body mass index in kilograms per square meter; DBP, diastolic blood pressure; PSQI, Pittsburgh sleep quality index; No., number; hrs., hours; min., minutes; SBP, systolic blood pressure; mmHg, millimeters of mercury.</p></fn>
<fn id="TF2"><label>&#x002A;&#x002A;</label>
<p>Component-wise Scoring of Sleep Parameters (C1&#x2013;C7): Sleep Duration (hours: Total hours of actual sleep per night (e.g., 9&#x2005;h). Score is derived from duration as reported.</p></fn>
<fn id="TF3"><p>C1: Subjective Sleep Quality Score; C2: Sleep latency score based on time to fall asleep, &#x2264;15&#x2005;min&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>; 16&#x2013;30&#x2005;min&#x2009;&#x003D;<sans-serif>&#x2009;1</sans-serif>; 31&#x2013;60&#x2005;min&#x2009;&#x003D;&#x2009;2; &#x003E;60&#x2005;min&#x2009;&#x003D;<sans-serif>&#x2009;3</sans-serif>; C3: Sleep Disturbance Score&#x2014;Based on &#x0023;4 score (number of actual sleep hours), &#x003E;7&#x2005;h&#x2009;&#x003D;<sans-serif>&#x2009;0</sans-serif>; 6&#x2013;7&#x2005;h&#x2009;&#x003D;<sans-serif>&#x2009;1</sans-serif>; 5&#x2013;6&#x2005;h&#x2009;&#x003D;<sans-serif>&#x2009;2</sans-serif>; &#x003C;5&#x2005;h&#x2009;&#x003D;<sans-serif>&#x2009;3</sans-serif>; C4: Sleep Efficiency (Total hours asleep&#x2009;&#x00F7;&#x2009;Total hours in bed)&#x2009;&#x00D7;&#x2009;100 Scoring, &#x003E;85&#x0025;&#x2009;&#x003D;&#x2009;0; 75&#x0025;&#x2013;84&#x0025;&#x2009;&#x003D;&#x2009;1; 65&#x0025;; 74&#x0025;&#x2009;&#x003D;&#x2009;2; &#x003C;65&#x0025;&#x2009;&#x003D;&#x2009;3; C5: Sleep Disturbances Composite Score; Sum of scores from items &#x0023;5b to &#x0023;5j, 0&#x2009;&#x003D;&#x2009;0; 1&#x2013;9&#x2009;&#x003D;&#x2009;1; 10&#x2013;18&#x2009;&#x003D;&#x2009;2; 19 27&#x2009;&#x003D;&#x2009;3; C6: Use of Sleep Medications; Score derived directly from item &#x0023;6; C7: Daytime Dysfunction Score, Sum of scores from items &#x0023;7 and &#x0023;8: 0&#x2009;&#x003D;&#x2009;0; 1&#x2013;2&#x2009;&#x003D;&#x2009;1; 3&#x2013;4&#x2009;&#x003D;&#x2009;2; 5&#x2013;6&#x2009;&#x003D;&#x2009;3.</p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3a"><title>Hb and RBC indices</title>
<p><xref ref-type="table" rid="T2">Table&#x00A0;2</xref> presents that over the 12-week study period, ARE supplementation produced significantly greater increases in Hb in Week 8 and Week 12 (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.014 and <italic>p</italic>&#x2009;&#x003D;&#x2009;0.003, respectively), with moderate to large effect sizes. Similarly, MCHC showed a significant improvement in the ARE group at Week 12 (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.017), while RDW demonstrated a marked reduction compared to SOC at Week 12 (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, Cohen&#x0027;s d&#x2009;&#x003D;&#x2009;&#x2013;1.216), indicating a large effect. RBC count, haematocrit changes, and MCV increases did not differ significantly between groups, though a trend toward higher RBC values was observed in the ARE arm at Week 12 (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.088). <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref> illustrates the hematological laboratory parameters in PP dataset (<italic>n</italic>&#x2009;&#x003D;&#x2009;63).</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Hematological laboratory parameter in PP dataset (<italic>n</italic>&#x2009;&#x003D;&#x2009;63).</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Parameters</th>
<th valign="top" align="center">ARE (<italic>n</italic>&#x2009;&#x003D;&#x2009;32)</th>
<th valign="top" align="center">SOC (<italic>n</italic>&#x2009;&#x003D;&#x2009;31)</th>
<th valign="top" align="center">Difference</th>
<th valign="top" align="center" colspan="2">Unpaired <italic>t</italic> test</th>
<th valign="top" align="center">Effect Size</th>
</tr>
<tr>
<th valign="top" align="center">Mean (SD.)</th>
<th valign="top" align="center">Mean (SD.)</th>
<th valign="top" align="center">Mean (95&#x0025; C.I.)</th>
<th valign="top" align="center">&#x201C;<italic>t</italic>&#x201D;</th>
<th valign="top" align="center"><italic>p</italic>&#x002A;</th>
<th valign="top" align="center"><italic>Cohen&#x0027;s</italic> &#x201C;<italic>d</italic>&#x201D;</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Haemoglobin (g/dL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">11.55 (1.03)</td>
<td valign="top" align="center">11.63 (1.09)</td>
<td valign="top" align="center">&#x2212;0.08 (&#x2212;0.61 to 0.46)</td>
<td valign="top" align="center">&#x2212;0.284</td>
<td valign="top" align="center">0.777</td>
<td valign="top" align="center">&#x2212;0.072</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 4</td>
<td valign="top" align="center">0.46 (0.27)</td>
<td valign="top" align="center">0.38 (0.31)</td>
<td valign="top" align="center">0.08 (&#x2212;0.07 to 0.22)</td>
<td valign="top" align="center">1.083</td>
<td valign="top" align="center">0.283</td>
<td valign="top" align="center">0.273</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 8</td>
<td valign="top" align="center">0.98 (0.43)</td>
<td valign="top" align="center">0.73 (0.37)</td>
<td valign="top" align="center">0.25 (0.05 to 0.45)</td>
<td valign="top" align="center">2.517</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">0.634</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">1.06 (0.44)</td>
<td valign="top" align="center">0.78 (0.24)</td>
<td valign="top" align="center">0.28 (0.1 to 0.46)</td>
<td valign="top" align="center">3.054</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.77</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">RBC (million/&#x00B5;L)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">3.65 (0.34)</td>
<td valign="top" align="center">3.54 (0.29)</td>
<td valign="top" align="center">0.12 (&#x2212;0.04 to 0.28)</td>
<td valign="top" align="center">1.461</td>
<td valign="top" align="center">0.149</td>
<td valign="top" align="center">0.368</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 4</td>
<td valign="top" align="center">0.11 (0.38)</td>
<td valign="top" align="center">0.05 (0.60)</td>
<td valign="top" align="center">0.06 (&#x2212;0.19 to 0.31)</td>
<td valign="top" align="center">0.464</td>
<td valign="top" align="center">0.644</td>
<td valign="top" align="center">0.117</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 8</td>
<td valign="top" align="center">0.17 (0.32)</td>
<td valign="top" align="center">0.09 (0.61)</td>
<td valign="top" align="center">0.08 (&#x2212;0.16 to 0.32)</td>
<td valign="top" align="center">0.644</td>
<td valign="top" align="center">0.522</td>
<td valign="top" align="center">0.162</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">0.35 (0.45)</td>
<td valign="top" align="center">0.15 (0.49)</td>
<td valign="top" align="center">0.21 (&#x2212;0.03 to 0.44)</td>
<td valign="top" align="center">1.731</td>
<td valign="top" align="center">0.088</td>
<td valign="top" align="center">0.436</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Haematocrit (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">35.14 (1.28)</td>
<td valign="top" align="center">35.82 (1.36)</td>
<td valign="top" align="center">&#x2212;0.69 (&#x2212;1.35 to &#x2212;0.02)</td>
<td valign="top" align="center">&#x2212;2.061</td>
<td valign="top" align="center">0.044</td>
<td valign="top" align="center">&#x2212;0.519</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 4</td>
<td valign="top" align="center">1.12 (0.94)</td>
<td valign="top" align="center">1.35 (1.01)</td>
<td valign="top" align="center">&#x2212;0.23 (&#x2212;0.72 to 0.26)</td>
<td valign="top" align="center">&#x2212;0.943</td>
<td valign="top" align="center">0.349</td>
<td valign="top" align="center">&#x2212;0.238</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 8</td>
<td valign="top" align="center">2.57 (1.36)</td>
<td valign="top" align="center">2.83 (1.40)</td>
<td valign="top" align="center">&#x2212;0.25 (&#x2212;0.95 to 0.44)</td>
<td valign="top" align="center">&#x2212;0.726</td>
<td valign="top" align="center">0.471</td>
<td valign="top" align="center">&#x2212;0.183</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">2.09 (1.42)</td>
<td valign="top" align="center">2.23 (1.32)</td>
<td valign="top" align="center">&#x2212;0.14 (&#x2212;0.83 to 0.55)</td>
<td valign="top" align="center">&#x2212;0.394</td>
<td valign="top" align="center">0.695</td>
<td valign="top" align="center">&#x2212;0.099</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">MCHC (g/dL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">34.33 (1.16)</td>
<td valign="top" align="center">34.60 (1.44)</td>
<td valign="top" align="center">&#x2212;0.27 (&#x2212;0.93 to 0.38)</td>
<td valign="top" align="center">&#x2212;0.83</td>
<td valign="top" align="center">0.409</td>
<td valign="top" align="center">&#x2212;0.209</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 4</td>
<td valign="top" align="center">1.31 (0.89)</td>
<td valign="top" align="center">1.44 (1.03)</td>
<td valign="top" align="center">&#x2212;0.13 (&#x2212;0.61 to 0.35)</td>
<td valign="top" align="center">&#x2212;0.536</td>
<td valign="top" align="center">0.594</td>
<td valign="top" align="center">&#x2212;0.135</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 8</td>
<td valign="top" align="center">2.97 (1.31)</td>
<td valign="top" align="center">2.75 (1.41)</td>
<td valign="top" align="center">0.22 (&#x2212;0.47 to 0.91)</td>
<td valign="top" align="center">0.639</td>
<td valign="top" align="center">0.525</td>
<td valign="top" align="center">0.161</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">2.41 (1.17)</td>
<td valign="top" align="center">1.67 (1.20)</td>
<td valign="top" align="center">0.73 (0.14 to 1.33)</td>
<td valign="top" align="center">2.454</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">0.619</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">MCV (fL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">91.63 (6.35)</td>
<td valign="top" align="center">90.01 (6.58)</td>
<td valign="top" align="center">1.62 (&#x2212;1.64 to 4.88)</td>
<td valign="top" align="center">0.995</td>
<td valign="top" align="center">0.324</td>
<td valign="top" align="center">0.251</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 4</td>
<td valign="top" align="center">3.46 (2.40)</td>
<td valign="top" align="center">3.04 (2.53)</td>
<td valign="top" align="center">0.42 (&#x2212;0.82 to 1.66)</td>
<td valign="top" align="center">0.676</td>
<td valign="top" align="center">0.502</td>
<td valign="top" align="center">0.17</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 8</td>
<td valign="top" align="center">7.27 (3.82)</td>
<td valign="top" align="center">6.23 (3.55)</td>
<td valign="top" align="center">1.04 (&#x2212;0.82 to 2.9)</td>
<td valign="top" align="center">1.118</td>
<td valign="top" align="center">0.268</td>
<td valign="top" align="center">0.282</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">6.45 (3.55)</td>
<td valign="top" align="center">5.30 (3.70)</td>
<td valign="top" align="center">1.15 (&#x2212;0.68 to 2.98)</td>
<td valign="top" align="center">1.258</td>
<td valign="top" align="center">0.213</td>
<td valign="top" align="center">0.317</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">RDW (&#x0025;)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">13.64 (1.10)</td>
<td valign="top" align="center">13.45 (1.05)</td>
<td valign="top" align="center">0.2 (&#x2212;0.35 to 0.74)</td>
<td valign="top" align="center">0.723</td>
<td valign="top" align="center">0.472</td>
<td valign="top" align="center">0.182</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 4</td>
<td valign="top" align="center">&#x2212;0.35 (0.35)</td>
<td valign="top" align="center">&#x2212;0.28 (0.35)</td>
<td valign="top" align="center">&#x2212;0.07 (&#x2212;0.24 to 0.1)</td>
<td valign="top" align="center">&#x2212;0.806</td>
<td valign="top" align="center">0.424</td>
<td valign="top" align="center">&#x2212;0.203</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 8</td>
<td valign="top" align="center">&#x2212;0.93 (0.52)</td>
<td valign="top" align="center">&#x2212;0.85 (0.47)</td>
<td valign="top" align="center">&#x2212;0.08 (&#x2212;0.33 to 0.17)</td>
<td valign="top" align="center">&#x2212;0.657</td>
<td valign="top" align="center">0.514</td>
<td valign="top" align="center">&#x2212;0.165</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.85 (0.51)</td>
<td valign="top" align="center">&#x2212;0.28 (0.42)</td>
<td valign="top" align="center">&#x2212;0.57 (&#x2212;0.81 to &#x2212;0.33)</td>
<td valign="top" align="center">&#x2212;4.825</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">&#x2212;1.216</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF4"><label>&#x002A;</label>
<p><italic>p</italic>, value was obtained using an unpaired <italic>t</italic>-test; SD., standard deviation; PP, per protocol; ARE, Ashwagandha root extract; SOC, standard of care; Hb, hemoglobin; RBC, red blood cells; Hct, hematocrit; MCV, mean corpuscular volume; MCHC, mean corpuscular hemoglobin concentration; RDW, red cell distribution width; ALT, alanine transaminase; AST, aspartate transaminase; ALP, alkaline phosphatase; BUN, blood urea nitrogen; TSH, thyroid stimulating hormone; T4, thyroxine; T3, triiodothyronine; kg, kilogram; cm, centimeter; m&#x00B2;, square meter; g/dL, grams per deciliter; mg/dL, milligrams per deciliter; U/L, units per liter; &#x00B5;IU/mL, micro-international units per milliliter; &#x00B5;g/dL, micrograms per deciliter; ng/dL, nanograms per deciliter.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float"><label>Figure&#x00A0;2</label>
<caption><p>BMI and hematological laboratory parameters and PSS score in PP dataset (<italic>n</italic>&#x2009;&#x003D;&#x2009;63). ARE, Ashwagandha root extract; BMI, body mass index; MCV, mean corpuscular volume; MCHC, mean corpuscular hemoglobin concentration; PSS Score, perceived stress scale score; RBC, red blood cells; RDW, red cell distribution width; SOC, standard of care. <bold>(A)</bold>: BMI; <bold>(B)</bold>: Hemoglobin; <bold>(C)</bold>: RBC; <bold>(D)</bold>: Hematocrit; <bold>(E)</bold>: MCHC; <bold>(F)</bold>: MCV; <bold>(G)</bold>: RDW; <bold>(H)</bold>: PSS Score.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-07-1767865-g002.tif"><alt-text content-type="machine-generated">Seven line graphs compare two groups, AEC and SOC, over four time points: baseline, 4, 8, and 12 weeks. Graphs track: A) BMI (kg/m&#x00B2;), B) Hemoglobin (g/dL), C) RBC (million/&#x00B5;L), D) Hematocrit (%), E) MCHC (g/dL), F) MCV (fL), G) RDW (%), and H) PSS Score. Each graph includes error bars representing a 95% confidence interval, showing trends for both groups across the study period.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3b"><title>Clinical adverse events</title>
<p>No adverse events were reported in any of the participants.</p>
</sec>
<sec id="s3c"><title>Laboratory parameters</title>
<p><xref ref-type="table" rid="T3">Table&#x00A0;3</xref> shows the BMI and safety laboratory parameters in the PP dataset. Baseline values for BMI and biochemical parameters were similar between the ARE and SOC groups. Over the 12-week study period, BMI increased significantly more in the ARE group compared to SOC, with a mean difference of 0.44&#x2005;kg/m&#x00B2; at Week 12 (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.025, Cohen&#x0027;s d&#x2009;&#x003D;&#x2009;0.579). The observed increase in BMI should be interpreted cautiously, as gestational weight gain is expected during pregnancy and does not necessarily indicate a treatment-specific benefit. Liver function markers, including total, direct, and indirect bilirubin, ALT, and ALP, showed no significant between-group differences across time points. However, AST levels demonstrated a significantly greater reduction in the ARE group at Week 12 (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.007, d&#x2009;&#x003D;&#x2009;&#x2013;0.707), indicating a moderate to large effect size. Renal function indices (creatinine, BUN) and cardiac marker CK-MB remained stable and comparable between groups throughout the study. Thyroid function tests (TSH, T4, T3) also showed no significant differences, with changes from baseline to Week 12 being minimal in both groups. Overall, ARE supplementation was associated with a significant improvement in BMI and a reduction in AST, while other biochemical parameters remained unaffected compared to SOC. <xref ref-type="fig" rid="F2">Figure&#x00A0;2</xref> shows the BMI parameter in the PP dataset.</p>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>BMI and laboratory parameter in PP dataset (<italic>n</italic>&#x2009;&#x003D;&#x2009;63).</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Parameters</th>
<th valign="top" align="center">ARE (<italic>n</italic>&#x2009;&#x003D;&#x2009;32)</th>
<th valign="top" align="center">SOC (<italic>n</italic>&#x2009;&#x003D;&#x2009;31)</th>
<th valign="top" align="center">Difference</th>
<th valign="top" align="center" colspan="2">Unpaired <italic>t</italic> test</th>
<th valign="top" align="center">Effect Size</th>
</tr>
<tr>
<th valign="top" align="center">Mean (SD.)</th>
<th valign="top" align="center">Mean (SD.)</th>
<th valign="top" align="center">Mean (95&#x0025; C.I.)</th>
<th valign="top" align="center"><italic>&#x201C;t&#x201D;</italic></th>
<th valign="top" align="center"><italic>p&#x002A;</italic></th>
<th valign="top" align="center"><italic>Cohen&#x0027;s &#x201C;d&#x201D;</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">BMI (kg/m<sup>2</sup>)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">25.92 (3.53)</td>
<td valign="top" align="center">26.13 (3.54)</td>
<td valign="top" align="center">&#x2212;0.21 (&#x2212;1.99 to 1.57)</td>
<td valign="top" align="center">&#x2212;0.241</td>
<td valign="top" align="center">0.811</td>
<td valign="top" align="center">&#x2212;0.061</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 4</td>
<td valign="top" align="center">0.66 (0.18)</td>
<td valign="top" align="center">0.61 (0.27)</td>
<td valign="top" align="center">0.05 (&#x2212;0.06 to 0.17)</td>
<td valign="top" align="center">0.928</td>
<td valign="top" align="center">0.357</td>
<td valign="top" align="center">0.234</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 8</td>
<td valign="top" align="center">1.44 (0.32)</td>
<td valign="top" align="center">1.22 (0.59)</td>
<td valign="top" align="center">0.21 (&#x2212;0.02 to 0.45)</td>
<td valign="top" align="center">1.793</td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center">0.452</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">2.28 (0.55)</td>
<td valign="top" align="center">1.84 (0.93)</td>
<td valign="top" align="center">0.44 (0.06 to 0.83)</td>
<td valign="top" align="center">2.296</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">0.579</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Total Bilirubin (mg/dL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">0.41 (0.05)</td>
<td valign="top" align="center">0.43 (0.04)</td>
<td valign="top" align="center">&#x2212;0.02 (&#x2212;0.04 to 0.00)</td>
<td valign="top" align="center">&#x2212;1.916</td>
<td valign="top" align="center">0.06</td>
<td valign="top" align="center">&#x2212;0.483</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">0.50 (0.09)</td>
<td valign="top" align="center">0.51 (0.08)</td>
<td valign="top" align="center">&#x2212;0.01 (&#x2212;0.06 to 0.03)</td>
<td valign="top" align="center">&#x2212;0.611</td>
<td valign="top" align="center">0.543</td>
<td valign="top" align="center">&#x2212;0.154</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">0.09 (0.08)</td>
<td valign="top" align="center">0.08 (0.08)</td>
<td valign="top" align="center">0.01 (&#x2212;0.03 to 0.05)</td>
<td valign="top" align="center">0.436</td>
<td valign="top" align="center">0.665</td>
<td valign="top" align="center">0.11</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Direct Bilirubin (mg/dL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">0.07 (0.04)</td>
<td valign="top" align="center">0.07 (0.05)</td>
<td valign="top" align="center">&#x2212;0.01 (&#x2212;0.03 to 0.02)</td>
<td valign="top" align="center">&#x2212;0.482</td>
<td valign="top" align="center">0.632</td>
<td valign="top" align="center">&#x2212;0.121</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">0.14 (0.01)</td>
<td valign="top" align="center">0.14 (0.03)</td>
<td valign="top" align="center">&#x2212;0.01 (&#x2212;0.02 to 0.00)</td>
<td valign="top" align="center">&#x2212;1.142</td>
<td valign="top" align="center">0.258</td>
<td valign="top" align="center">&#x2212;0.288</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">0.07 (0.05)</td>
<td valign="top" align="center">0.07 (0.06)</td>
<td valign="top" align="center">0.00 (&#x2212;0.03 to 0.03)</td>
<td valign="top" align="center">&#x2212;0.086</td>
<td valign="top" align="center">0.932</td>
<td valign="top" align="center">&#x2212;0.022</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Indirect Bilirubin (mg/dL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">0.27 (0.09)</td>
<td valign="top" align="center">0.28 (0.07)</td>
<td valign="top" align="center">&#x2212;0.01 (&#x2212;0.05 to 0.03)</td>
<td valign="top" align="center">&#x2212;0.469</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">&#x2212;0.118</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">0.36 (0.09)</td>
<td valign="top" align="center">0.37 (0.07)</td>
<td valign="top" align="center">&#x2212;0.01 (&#x2212;0.05 to 0.03)</td>
<td valign="top" align="center">&#x2212;0.306</td>
<td valign="top" align="center">0.76</td>
<td valign="top" align="center">&#x2212;0.077</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">0.09 (0.05)</td>
<td valign="top" align="center">0.09 (0.06)</td>
<td valign="top" align="center">0.00 (&#x2212;0.02 to 0.03)</td>
<td valign="top" align="center">0.27</td>
<td valign="top" align="center">0.788</td>
<td valign="top" align="center">0.068</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">ALT (U/L)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">10.20 (4.05)</td>
<td valign="top" align="center">10.46 (3.82)</td>
<td valign="top" align="center">&#x2212;0.27 (&#x2212;2.25 to 1.72)</td>
<td valign="top" align="center">&#x2212;0.27</td>
<td valign="top" align="center">0.788</td>
<td valign="top" align="center">&#x2212;0.068</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">9.20 (3.94)</td>
<td valign="top" align="center">10.37 (2.04)</td>
<td valign="top" align="center">&#x2212;1.17 (&#x2212;2.76 to 0.42)</td>
<td valign="top" align="center">&#x2212;1.472</td>
<td valign="top" align="center">0.146</td>
<td valign="top" align="center">&#x2212;0.371</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.99 (1.44)</td>
<td valign="top" align="center">&#x2212;0.09 (3.22)</td>
<td valign="top" align="center">&#x2212;0.90 (&#x2212;2.15 to 0.35)</td>
<td valign="top" align="center">&#x2212;1.442</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center">&#x2212;0.363</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">AST (U/L)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">14.88 (2.57)</td>
<td valign="top" align="center">14.27 (2.81)</td>
<td valign="top" align="center">0.61 (&#x2212;0.74 to 1.97)</td>
<td valign="top" align="center">0.906</td>
<td valign="top" align="center">0.369</td>
<td valign="top" align="center">0.228</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">14.08 (2.43)</td>
<td valign="top" align="center">14.16 (3.01)</td>
<td valign="top" align="center">&#x2212;0.09 (&#x2212;1.46 to 1.29)</td>
<td valign="top" align="center">&#x2212;0.126</td>
<td valign="top" align="center">0.9</td>
<td valign="top" align="center">&#x2212;0.032</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.81 (1.04)</td>
<td valign="top" align="center">&#x2212;0.11 (0.94)</td>
<td valign="top" align="center">&#x2212;0.70 (&#x2212;1.20 to &#x2212;0.20)</td>
<td valign="top" align="center">&#x2212;2.804</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">&#x2212;0.707</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">ALP (U/L)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">94.74 (28.50)</td>
<td valign="top" align="center">97.73 (25.62)</td>
<td valign="top" align="center">&#x2212;2.99 (&#x2212;16.66 to 10.68)</td>
<td valign="top" align="center">&#x2212;0.438</td>
<td valign="top" align="center">0.663</td>
<td valign="top" align="center">&#x2212;0.11</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">96.40 (29.30)</td>
<td valign="top" align="center">98.93 (25.38)</td>
<td valign="top" align="center">&#x2212;2.53 (&#x2212;16.36 to 11.30)</td>
<td valign="top" align="center">&#x2212;0.366</td>
<td valign="top" align="center">0.716</td>
<td valign="top" align="center">&#x2212;0.092</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">1.66 (2.61)</td>
<td valign="top" align="center">1.20 (3.02)</td>
<td valign="top" align="center">0.46 (&#x2212;0.96 to 1.88)</td>
<td valign="top" align="center">0.65</td>
<td valign="top" align="center">0.518</td>
<td valign="top" align="center">0.164</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Creatinine (mg/dL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">0.56 (0.24)</td>
<td valign="top" align="center">0.52 (0.28)</td>
<td valign="top" align="center">0.04 (&#x2212;0.10 to 0.17)</td>
<td valign="top" align="center">0.562</td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center">0.142</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">0.57 (0.22)</td>
<td valign="top" align="center">0.56 (0.27)</td>
<td valign="top" align="center">0.02 (&#x2212;0.11 to 0.14)</td>
<td valign="top" align="center">0.267</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">0.067</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">0.02 (0.04)</td>
<td valign="top" align="center">0.04 (0.08)</td>
<td valign="top" align="center">&#x2212;0.02 (&#x2212;0.05 to 0.01)</td>
<td valign="top" align="center">&#x2212;1.308</td>
<td valign="top" align="center">0.196</td>
<td valign="top" align="center">&#x2212;0.33</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">BUN (mg/dL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">8.54 (2.21)</td>
<td valign="top" align="center">8.57 (2.05)</td>
<td valign="top" align="center">&#x2212;0.03 (&#x2212;1.11 to 1.04)</td>
<td valign="top" align="center">&#x2212;0.06</td>
<td valign="top" align="center">0.952</td>
<td valign="top" align="center">&#x2212;0.015</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">8.72 (1.71)</td>
<td valign="top" align="center">8.67 (2.58)</td>
<td valign="top" align="center">0.05 (&#x2212;1.05 to 1.15)</td>
<td valign="top" align="center">0.092</td>
<td valign="top" align="center">0.927</td>
<td valign="top" align="center">0.023</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">0.18 (0.85)</td>
<td valign="top" align="center">0.10 (2.96)</td>
<td valign="top" align="center">0.08 (&#x2212;1.01 to 1.17)</td>
<td valign="top" align="center">0.151</td>
<td valign="top" align="center">0.88</td>
<td valign="top" align="center">0.038</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">CK-MB (ng/mL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">3.00 (0.71)</td>
<td valign="top" align="center">3.13 (0.79)</td>
<td valign="top" align="center">&#x2212;0.13 (&#x2212;0.51 to 0.24)</td>
<td valign="top" align="center">&#x2212;0.715</td>
<td valign="top" align="center">0.477</td>
<td valign="top" align="center">&#x2212;0.18</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">3.04 (0.74)</td>
<td valign="top" align="center">3.20 (0.82)</td>
<td valign="top" align="center">&#x2212;0.16 (&#x2212;0.56 to 0.23)</td>
<td valign="top" align="center">&#x2212;0.822</td>
<td valign="top" align="center">0.414</td>
<td valign="top" align="center">&#x2212;0.207</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">0.04 (0.09)</td>
<td valign="top" align="center">0.07 (0.07)</td>
<td valign="top" align="center">&#x2212;0.03 (&#x2212;0.07 to 0.01)</td>
<td valign="top" align="center">&#x2212;1.369</td>
<td valign="top" align="center">0.176</td>
<td valign="top" align="center">&#x2212;0.345</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">TSH (&#x00B5;IU/mL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">1.39 (0.92)</td>
<td valign="top" align="center">1.23 (0.89)</td>
<td valign="top" align="center">0.17 (&#x2212;0.29 to 0.62)</td>
<td valign="top" align="center">0.73</td>
<td valign="top" align="center">0.468</td>
<td valign="top" align="center">0.184</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">1.41 (0.94)</td>
<td valign="top" align="center">1.24 (0.90)</td>
<td valign="top" align="center">0.18 (&#x2212;0.29 to 0.64)</td>
<td valign="top" align="center">0.756</td>
<td valign="top" align="center">0.453</td>
<td valign="top" align="center">0.19</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">0.02 (0.05)</td>
<td valign="top" align="center">0.01 (0.03)</td>
<td valign="top" align="center">0.01 (&#x2212;0.01 to 0.03)</td>
<td valign="top" align="center">0.895</td>
<td valign="top" align="center">0.374</td>
<td valign="top" align="center">0.226</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">T4 (&#x00B5;g/dL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">9.36 (6.92)</td>
<td valign="top" align="center">11.19 (6.86)</td>
<td valign="top" align="center">&#x2212;1.83 (&#x2212;5.30 to 1.65)</td>
<td valign="top" align="center">&#x2212;1.052</td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="center">&#x2212;0.265</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">9.58 (7.05)</td>
<td valign="top" align="center">11.39 (6.99)</td>
<td valign="top" align="center">&#x2212;1.81 (&#x2212;5.35 to 1.73)</td>
<td valign="top" align="center">&#x2212;1.023</td>
<td valign="top" align="center">0.31</td>
<td valign="top" align="center">&#x2212;0.258</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">0.22 (0.34)</td>
<td valign="top" align="center">0.20 (0.25)</td>
<td valign="top" align="center">0.02 (&#x2212;0.13 to 0.17)</td>
<td valign="top" align="center">0.233</td>
<td valign="top" align="center">0.816</td>
<td valign="top" align="center">0.059</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">T3 (ng/dL)</td>
</tr>
<tr>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="center">121.40 (59.89)</td>
<td valign="top" align="center">136.15 (59.84)</td>
<td valign="top" align="center">&#x2212;14.74 (&#x2212;44.91 to 15.42)</td>
<td valign="top" align="center">&#x2212;0.977</td>
<td valign="top" align="center">0.332</td>
<td valign="top" align="center">&#x2212;0.246</td>
</tr>
<tr>
<td valign="top" align="left">12 Weeks</td>
<td valign="top" align="center">123.36 (60.24)</td>
<td valign="top" align="center">138.09 (60.78)</td>
<td valign="top" align="center">&#x2212;14.73 (&#x2212;45.22 to 15.76)</td>
<td valign="top" align="center">&#x2212;0.966</td>
<td valign="top" align="center">0.338</td>
<td valign="top" align="center">&#x2212;0.243</td>
</tr>
<tr>
<td valign="top" align="left">Change at Week 12</td>
<td valign="top" align="center">1.96 (3.02)</td>
<td valign="top" align="center">1.94 (3.78)</td>
<td valign="top" align="center">0.02 (&#x2212;1.70 to 1.74)</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">0.985</td>
<td valign="top" align="center">0.005</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF5"><label>&#x002A;</label>
<p><italic>p</italic>, value was obtained using an unpaired <italic>t</italic>-test; SD., standard deviation; PP, per protocol; ARE, Ashwagandha root extract; SOC, standard of care; BMI, body mass index; Hb, hemoglobin; RBC, red blood cells; Hct, hematocrit; MCV, mean corpuscular volume; MCHC, mean corpuscular hemoglobin concentration; RDW, red cell distribution width; ALT, alanine transaminase; AST, aspartate transaminase; ALP, alkaline phosphatase; BUN, blood urea nitrogen; TSH, thyroid stimulating hormone; T4, thyroxine; T3, triiodothyronine; kg, kilogram; cm, centimeter; m&#x00B2;, square meter; g/dL, grams per deciliter; mg/dL, milligrams per deciliter; U/L, units per liter; &#x00B5;IU/mL, micro-international units per milliliter; &#x00B5;g/dL, micrograms per deciliter; ng/dL, nanograms per deciliter.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float"><label>Table&#x00A0;4</label>
<caption><p>PSS and PSQI score in in PP dataset (<italic>n</italic>&#x2009;&#x003D;&#x2009;63</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Parameters</th>
<th valign="top" align="center">ARE (<italic>n</italic>&#x2009;&#x003D;&#x2009;32)</th>
<th valign="top" align="center">SOC (<italic>n</italic>&#x2009;&#x003D;&#x2009;31)</th>
<th valign="top" align="center">Difference</th>
<th valign="top" align="center" colspan="2">Unpaired <italic>t</italic> test</th>
<th valign="top" align="center">Effect Size</th>
</tr>
<tr>
<th valign="top" align="center">Mean (SD.)</th>
<th valign="top" align="center">Mean (SD.)</th>
<th valign="top" align="center">Mean (95&#x0025; C.I.)</th>
<th valign="top" align="center"><italic>&#x201C;t&#x201D;</italic></th>
<th valign="top" align="center"><italic>p&#x002A;</italic></th>
<th valign="top" align="center">Cohen&#x0027;s &#x201C;<italic>d</italic>&#x201D;</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">PSS (score)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">18.41 (3.01)</td>
<td valign="top" align="center">18.10 (1.89)</td>
<td valign="top" align="center">0.31 (&#x2212;0.96 to 1.58)</td>
<td valign="top" align="center">0.487</td>
<td valign="top" align="center">0.628</td>
<td valign="top" align="center">0.123</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">&#x2212;3.47 (4.32)</td>
<td valign="top" align="center">&#x2212;2.29 (1.42)</td>
<td valign="top" align="center">&#x2212;1.18 (&#x2212;2.81 to 0.45)</td>
<td valign="top" align="center">&#x2212;1.446</td>
<td valign="top" align="center">0.153</td>
<td valign="top" align="center">&#x2212;0.364</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;9.00 (5.91)</td>
<td valign="top" align="center">&#x2212;5.19 (1.58)</td>
<td valign="top" align="center">&#x2212;3.81 (&#x2212;6.00 to &#x2212;1.61)</td>
<td valign="top" align="center">&#x2212;3.468</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">&#x2212;0.874</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;10.50 (4.22)</td>
<td valign="top" align="center">&#x2212;5.35 (1.76)</td>
<td valign="top" align="center">&#x2212;5.15 (&#x2212;6.78 to &#x2212;3.51)</td>
<td valign="top" align="center">&#x2212;6.278</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">&#x2212;1.582</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">PSQI score</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Time to sleep (min.)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">1.16 (0.88)</td>
<td valign="top" align="center">1.06 (0.85)</td>
<td valign="top" align="center">0.09 (&#x2212;0.35 to 0.53)</td>
<td valign="top" align="center">0.419</td>
<td valign="top" align="center">0.677</td>
<td valign="top" align="center">0.106</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">&#x2212;0.22 (0.75)</td>
<td valign="top" align="center">0.16 (0.73)</td>
<td valign="top" align="center">&#x2212;0.38 (&#x2212;0.75 to &#x2212;0.01)</td>
<td valign="top" align="center">&#x2212;2.030</td>
<td valign="top" align="center">0.047</td>
<td valign="top" align="center">&#x2212;0.512</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;0.13 (0.83)</td>
<td valign="top" align="center">0.10 (0.83)</td>
<td valign="top" align="center">&#x2212;0.22 (&#x2212;0.64 to 0.20)</td>
<td valign="top" align="center">&#x2212;1.058</td>
<td valign="top" align="center">0.294</td>
<td valign="top" align="center">&#x2212;0.267</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.13 (0.83)</td>
<td valign="top" align="center">0.10 (0.83)</td>
<td valign="top" align="center">&#x2212;0.22 (&#x2212;0.64 to 0.20)</td>
<td valign="top" align="center">&#x2212;1.058</td>
<td valign="top" align="center">0.294</td>
<td valign="top" align="center">&#x2212;0.267</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Sleep duration (hrs.)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">7.42 (1.45)</td>
<td valign="top" align="center">7.27 (1.33)</td>
<td valign="top" align="center">0.15 (&#x2212;0.56 to 0.85)</td>
<td valign="top" align="center">0.420</td>
<td valign="top" align="center">0.676</td>
<td valign="top" align="center">0.106</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">&#x2212;0.77 (2.17)</td>
<td valign="top" align="center">&#x2212;0.05 (1.48)</td>
<td valign="top" align="center">&#x2212;0.72 (&#x2212;1.66 to 0.22)</td>
<td valign="top" align="center">&#x2212;1.528</td>
<td valign="top" align="center">0.132</td>
<td valign="top" align="center">&#x2212;0.385</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;1.89 (1.80)</td>
<td valign="top" align="center">&#x2212;0.22 (1.59)</td>
<td valign="top" align="center">&#x2212;1.67 (&#x2212;2.53 to &#x2212;0.82)</td>
<td valign="top" align="center">&#x2212;3.906</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">&#x2212;0.984</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;1.89 (1.80)</td>
<td valign="top" align="center">&#x2212;0.22 (1.59)</td>
<td valign="top" align="center">&#x2212;1.67 (&#x2212;2.53 to &#x2212;0.82)</td>
<td valign="top" align="center">&#x2212;3.906</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">&#x2212;0.984</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Sleep quality (Subjective)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">2.66 (0.48)</td>
<td valign="top" align="center">2.55 (0.57)</td>
<td valign="top" align="center">0.11 (&#x2212;0.16 to 0.37)</td>
<td valign="top" align="center">0.813</td>
<td valign="top" align="center">0.419</td>
<td valign="top" align="center">0.205</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">&#x2212;0.56 (0.84)</td>
<td valign="top" align="center">0.13 (0.62)</td>
<td valign="top" align="center">&#x2212;0.69 (&#x2212;1.06 to &#x2212;0.32)</td>
<td valign="top" align="center">&#x2212;3.711</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">&#x2212;0.935</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;0.75 (1.16)</td>
<td valign="top" align="center">&#x2212;0.13 (0.92)</td>
<td valign="top" align="center">&#x2212;0.62 (&#x2212;1.15 to &#x2212;0.09)</td>
<td valign="top" align="center">&#x2212;2.343</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center">&#x2212;0.590</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.88 (1.07)</td>
<td valign="top" align="center">&#x2212;0.35 (0.84)</td>
<td valign="top" align="center">&#x2212;0.52 (&#x2212;1.01 to &#x2212;0.03)</td>
<td valign="top" align="center">&#x2212;2.143</td>
<td valign="top" align="center">0.036</td>
<td valign="top" align="center">&#x2212;0.540</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Sleep latency</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">2.00 (1.02)</td>
<td valign="top" align="center">2.10 (0.87)</td>
<td valign="top" align="center">&#x2212;0.10 (&#x2212;0.57 to 0.38)</td>
<td valign="top" align="center">&#x2212;0.405</td>
<td valign="top" align="center">0.687</td>
<td valign="top" align="center">&#x2212;0.102</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">&#x2212;0.56 (1.44)</td>
<td valign="top" align="center">&#x2212;0.06 (1.09)</td>
<td valign="top" align="center">&#x2212;0.50 (&#x2212;1.14 to 0.15)</td>
<td valign="top" align="center">&#x2212;1.545</td>
<td valign="top" align="center">0.127</td>
<td valign="top" align="center">&#x2212;0.389</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;0.56 (1.50)</td>
<td valign="top" align="center">&#x2212;0.13 (1.18)</td>
<td valign="top" align="center">&#x2212;0.43 (&#x2212;1.11 to 0.25)</td>
<td valign="top" align="center">&#x2212;1.273</td>
<td valign="top" align="center">0.208</td>
<td valign="top" align="center">&#x2212;0.321</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.75 (1.27)</td>
<td valign="top" align="center">&#x2212;0.26 (1.12)</td>
<td valign="top" align="center">&#x2212;0.49 (&#x2212;1.10 to 0.11)</td>
<td valign="top" align="center">&#x2212;1.626</td>
<td valign="top" align="center">0.109</td>
<td valign="top" align="center">&#x2212;0.410</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Sleep duration</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">1.72 (1.33)</td>
<td valign="top" align="center">1.81 (1.22)</td>
<td valign="top" align="center">&#x2212;0.09 (&#x2212;0.73 to 0.56)</td>
<td valign="top" align="center">&#x2212;0.273</td>
<td valign="top" align="center">0.786</td>
<td valign="top" align="center">&#x2212;0.069</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">0.00 (1.39)</td>
<td valign="top" align="center">&#x2212;0.16 (1.63)</td>
<td valign="top" align="center">0.16 (&#x2212;0.60 to 0.93)</td>
<td valign="top" align="center">0.422</td>
<td valign="top" align="center">0.674</td>
<td valign="top" align="center">0.106</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;0.25 (1.61)</td>
<td valign="top" align="center">&#x2212;0.03 (1.64)</td>
<td valign="top" align="center">&#x2212;0.22 (&#x2212;1.04 to 0.60)</td>
<td valign="top" align="center">&#x2212;0.532</td>
<td valign="top" align="center">0.597</td>
<td valign="top" align="center">&#x2212;0.134</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.25 (1.61)</td>
<td valign="top" align="center">&#x2212;0.03 (1.64)</td>
<td valign="top" align="center">&#x2212;0.22 (&#x2212;1.04 to 0.60)</td>
<td valign="top" align="center">&#x2212;0.532</td>
<td valign="top" align="center">0.597</td>
<td valign="top" align="center">&#x2212;0.134</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Sleep efficiency</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">1.44 (1.37)</td>
<td valign="top" align="center">1.29 (1.10)</td>
<td valign="top" align="center">0.15 (&#x2212;0.48 to 0.77)</td>
<td valign="top" align="center">0.470</td>
<td valign="top" align="center">0.640</td>
<td valign="top" align="center">0.118</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">0.19 (1.96)</td>
<td valign="top" align="center">0.06 (1.29)</td>
<td valign="top" align="center">0.12 (&#x2212;0.72 to 0.96)</td>
<td valign="top" align="center">0.293</td>
<td valign="top" align="center">0.770</td>
<td valign="top" align="center">0.074</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">0.84 (1.61)</td>
<td valign="top" align="center">0.16 (1.13)</td>
<td valign="top" align="center">0.68 (&#x2212;0.02 to 1.38)</td>
<td valign="top" align="center">1.944</td>
<td valign="top" align="center">0.057</td>
<td valign="top" align="center">0.490</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">0.38 (1.68)</td>
<td valign="top" align="center">0.10 (1.14)</td>
<td valign="top" align="center">0.28 (&#x2212;0.45 to 1.00)</td>
<td valign="top" align="center">0.768</td>
<td valign="top" align="center">0.446</td>
<td valign="top" align="center">0.193</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Sleep disturbance</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">2.50 (0.57)</td>
<td valign="top" align="center">2.55 (0.51)</td>
<td valign="top" align="center">&#x2212;0.05 (&#x2212;0.32 to 0.22)</td>
<td valign="top" align="center">&#x2212;0.357</td>
<td valign="top" align="center">0.723</td>
<td valign="top" align="center">&#x2212;0.090</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">&#x2212;0.31 (0.74)</td>
<td valign="top" align="center">&#x2212;0.06 (0.89)</td>
<td valign="top" align="center">&#x2212;0.25 (&#x2212;0.66 to 0.16)</td>
<td valign="top" align="center">&#x2212;1.204</td>
<td valign="top" align="center">0.233</td>
<td valign="top" align="center">&#x2212;0.303</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;0.66 (0.94)</td>
<td valign="top" align="center">&#x2212;0.23 (0.76)</td>
<td valign="top" align="center">&#x2212;0.43 (&#x2212;0.86 to 0.00)</td>
<td valign="top" align="center">&#x2212;1.997</td>
<td valign="top" align="center">0.050</td>
<td valign="top" align="center">&#x2212;0.503</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.84 (0.92)</td>
<td valign="top" align="center">&#x2212;0.39 (0.67)</td>
<td valign="top" align="center">&#x2212;0.46 (&#x2212;0.86 to &#x2212;0.05)</td>
<td valign="top" align="center">&#x2212;2.250</td>
<td valign="top" align="center">0.028</td>
<td valign="top" align="center">&#x2212;0.567</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Sleep medication</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">1.69 (0.74)</td>
<td valign="top" align="center">1.90 (0.87)</td>
<td valign="top" align="center">&#x2212;0.22 (&#x2212;0.62 to 0.19)</td>
<td valign="top" align="center">&#x2212;1.063</td>
<td valign="top" align="center">0.292</td>
<td valign="top" align="center">&#x2212;0.268</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">&#x2212;0.41 (0.87)</td>
<td valign="top" align="center">0.00 (1.15)</td>
<td valign="top" align="center">&#x2212;0.41 (&#x2212;0.92 to 0.11)</td>
<td valign="top" align="center">&#x2212;1.577</td>
<td valign="top" align="center">0.120</td>
<td valign="top" align="center">&#x2212;0.397</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;0.59 (1.39)</td>
<td valign="top" align="center">&#x2212;0.06 (1.21)</td>
<td valign="top" align="center">&#x2212;0.53 (&#x2212;1.19 to 0.13)</td>
<td valign="top" align="center">&#x2212;1.612</td>
<td valign="top" align="center">0.112</td>
<td valign="top" align="center">&#x2212;0.406</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.72 (1.28)</td>
<td valign="top" align="center">&#x2212;0.13 (1.12)</td>
<td valign="top" align="center">&#x2212;0.59 (&#x2212;1.19 to 0.02)</td>
<td valign="top" align="center">&#x2212;1.949</td>
<td valign="top" align="center">0.056</td>
<td valign="top" align="center">&#x2212;0.491</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Daytime dysfunction</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">1.84 (0.77)</td>
<td valign="top" align="center">1.71 (1.10)</td>
<td valign="top" align="center">0.13 (&#x2212;0.34 to 0.61)</td>
<td valign="top" align="center">0.562</td>
<td valign="top" align="center">0.576</td>
<td valign="top" align="center">0.142</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">&#x2212;0.34 (0.87)</td>
<td valign="top" align="center">0.00 (1.06)</td>
<td valign="top" align="center">&#x2212;0.34 (&#x2212;0.83 to 0.14)</td>
<td valign="top" align="center">&#x2212;1.408</td>
<td valign="top" align="center">0.164</td>
<td valign="top" align="center">&#x2212;0.355</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;0.81 (0.90)</td>
<td valign="top" align="center">&#x2212;0.10 (1.37)</td>
<td valign="top" align="center">&#x2212;0.72 (&#x2212;1.30 to &#x2212;0.13)</td>
<td valign="top" align="center">&#x2212;2.456</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">&#x2212;0.619</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;0.81 (0.90)</td>
<td valign="top" align="center">&#x2212;0.10 (1.37)</td>
<td valign="top" align="center">&#x2212;0.72 (&#x2212;1.30 to &#x2212;0.13)</td>
<td valign="top" align="center">&#x2212;2.456</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">&#x2212;0.619</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Global PSQI score</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Baseline</td>
<td valign="top" align="center">13.84 (2.83)</td>
<td valign="top" align="center">13.90 (2.17)</td>
<td valign="top" align="center">&#x2212;0.06 (&#x2212;1.33 to 1.21)</td>
<td valign="top" align="center">&#x2212;0.093</td>
<td valign="top" align="center">0.926</td>
<td valign="top" align="center">&#x2212;0.024</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 4</td>
<td valign="top" align="center">&#x2212;2.00 (3.60)</td>
<td valign="top" align="center">&#x2212;0.10 (2.88)</td>
<td valign="top" align="center">&#x2212;1.90 (&#x2212;3.55 to &#x2212;0.26)</td>
<td valign="top" align="center">&#x2212;2.312</td>
<td valign="top" align="center">0.024</td>
<td valign="top" align="center">&#x2212;0.583</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 8</td>
<td valign="top" align="center">&#x2212;2.78 (3.95)</td>
<td valign="top" align="center">&#x2212;0.52 (2.49)</td>
<td valign="top" align="center">&#x2212;2.27 (&#x2212;3.93 to &#x2212;0.60)</td>
<td valign="top" align="center">&#x2212;2.714</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center">&#x2212;0.684</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Change at Week 12</td>
<td valign="top" align="center">&#x2212;3.88 (3.88)</td>
<td valign="top" align="center">&#x2212;1.16 (2.46)</td>
<td valign="top" align="center">&#x2212;2.71 (&#x2212;4.36 to &#x2212;1.07)</td>
<td valign="top" align="center">&#x2212;3.300</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">&#x2212;0.832</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF6"><label>&#x002A;</label>
<p><italic>p</italic>, value was obtained using an unpaired <italic>t</italic>-test; CI, confidence interval; SD., standard deviation; PP, per protocol; ARE, Ashwagandha root extract; SOC, standard of care; PSS, perceived stress score; PSQI, Pittsburgh Sleep Quality Index.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3d"><title>Maternal stress</title>
<p><xref ref-type="table" rid="T4">Table&#x00A0;4</xref> shows the stress levels over a 12-week period. Baseline PSS scores were comparable between the ARE and SOC groups (18.41&#x2009;&#x00B1;&#x2009;3.01 vs. 18.10&#x2009;&#x00B1;&#x2009;1.89; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.628). At Week 4, both groups showed reductions in stress scores, with a greater though non-significant decrease in the ARE group (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.153). By Week 8, the ARE group demonstrated a significantly larger reduction compared to SOC (&#x2013;9.00&#x2009;&#x00B1;&#x2009;5.91 vs. &#x2212;5.19&#x2009;&#x00B1;&#x2009;1.58; mean difference &#x2212;3.81; 95&#x0025; CI &#x2212;6.00 to &#x2212;1.61; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.001; Cohen&#x0027;s d&#x2009;&#x003D;&#x2009;&#x2013;0.874). This effect was further strengthened at Week 12, where ARE supplementation resulted in a markedly greater decline in PSS scores (&#x2013;10.50&#x2009;&#x00B1;&#x2009;4.22 vs. &#x2212;5.35&#x2009;&#x00B1;&#x2009;1.76; mean difference &#x2212;5.15, 95&#x0025; CI &#x2212;6.78 to &#x2212;3.51; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; Cohen&#x0027;s d&#x2009;&#x003D;&#x2009;&#x2013;1.582), indicating a large effect size.</p>
</sec>
<sec id="s3e"><title>Maternal sleep quality</title>
<p>At baseline, sleep quality indices measured by the PSQI were comparable between the ARE and SOC groups. Over the course of 12 weeks, participants receiving ARE demonstrated consistent improvements across several PSQI domains (<xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>). Notably, reductions in time to sleep were evident as early as Week 4 (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.047), while subjective sleep quality showed significant and sustained improvement at Weeks 4, 8, and 12. Sleep duration increased markedly in the ARE group, with significant differences observed at Weeks 8 and 12 (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), accompanied by large effect sizes. Improvements were also seen in sleep disturbance and daytime dysfunction, both of which declined significantly in the ARE group compared to SOC at later time points. Although changes in sleep latency, sleep efficiency, and use of sleep medication favored ARE, these did not reach statistical significance. Importantly, the global PSQI score revealed robust improvements in the ARE group at Weeks 4, 8, and 12 (<italic>p</italic>&#x2009;&#x003D;&#x2009;0.024, 0.009, and 0.002, respectively).</p>
<fig id="F3" position="float"><label>Figure&#x00A0;3</label>
<caption><p>PSQI score in in PP dataset (<italic>n</italic>&#x2009;&#x003D;&#x2009;63). <italic>ARE, Ashwagandha Root Extract; SOC, Standard of Care.</italic> <bold>(A)</bold>: Time to Sleep; <bold>(B)</bold>: Sleep Duration; <bold>(C)</bold>: Sleep Quality; <bold>(D)</bold>: Sleep Latency; <bold>(E)</bold>: Sleep Duration; <bold>(F)</bold>: Sleep Efficiency; <bold>(G)</bold>: Sleep Disturbance; <bold>(H)</bold>: Sleep Medication; <bold>(I)</bold>: Daytime Dysfunction; <bold>(J)</bold>: Global PSQI Score.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fgwh-07-1767865-g003.tif"><alt-text content-type="machine-generated">Ten line graphs showing changes in sleep-related measures from baseline to twelve weeks for two groups: AFE and SOC. Measures include time to sleep, sleep duration, subjective sleep quality, sleep latency, sleep disturbances, sleep medication use, sleep efficiency, and daytime dysfunction. Each graph shows estimated marginal means with error bars for ninety-five percent confidence intervals. AFE displays general improvement across most measures, while SOC shows mixed results. Data indicate sleep changes over time, with variations between groups.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><title>Discussion</title>
<p>In this 12-week study involving pregnant women, the addition of oral supplementation with Ashwagandha root extract (ARE) along with oral iron therapy resulted in significant improvements in hematological parameters, particularly Hb, MCHC, and RDW, compared with oral iron therapy alone. The observed increase in Hb and enhanced RBC quality, as reflected by improved and reduced RDW, suggests a beneficial stimulatory effect of ARE on erythropoiesis (<xref ref-type="bibr" rid="B20">20</xref>). These findings align with preclinical studies reporting that withanolides in ARE may enhance hematopoietic activity by promoting erythroid progenitor proliferation, modulating iron metabolism, and supporting hemoglobin synthesis, mechanisms that are particularly beneficial during pregnancy when increased blood volume and iron demands heighten susceptibility to anemia (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Baseline Hb levels in both groups indicate that the majority of participants had mild anemia. Though the increase in Hb observed in the ARE group at Week 12 was statistically significant compared with SOC alone; the absolute between-group difference (0.28&#x2005;g/dL) was modest. Given that baseline hemoglobin values were near the lower limit of normal for pregnancy, the observed magnitude of change is likely to have limited clinical relevance at the individual level. Consequently, the hematological findings should be interpreted as supportive rather than definitive evidence of therapeutic benefit (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Although RBC count showed a trend toward improvement (0.21&#x2005;million/&#x00B5;L; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.088) with ARE, hematocrit changes with ARE were comparable to SOC, indicating that ARE primarily enhanced red cell quality rather than total blood volume expansion. The significant reduction in RDW suggests a more uniform erythrocyte population, which may translate to improved oxygen-carrying capacity and maternal-fetal health outcomes (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>Importantly, ARE supplementation demonstrated a favorable tolerable profile across multiple organ systems. Liver enzymes were largely stable, with a modest but significant decrease in AST (&#x2013;0.70 U/L; 95&#x0025; CI: &#x2212;1.20 to &#x2212;0.20; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.007; Cohen&#x0027;s d&#x2009;&#x003D;&#x2009;&#x2013;0.707), while ALT, ALP, and bilirubin levels remained unchanged (<xref ref-type="bibr" rid="B22">22</xref>). Renal markers (creatinine, BUN), cardiac marker CK-MB, and thyroid parameters (TSH, T4, and T3) showed no significant changes, supporting systemic tolerability during pregnancy (<xref ref-type="bibr" rid="B23">23</xref>). The absence of adverse changes in these parameters is critical in the prenatal population, reinforcing the suitability of ARE as a suitable adjunct for hematological support (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Overall, this study demonstrates that ARE supplementation in pregnant women effectively improves erythrocyte indices, enhances RBC quality, and is well-tolerated, suggesting a beneficial role for Ashwagandha in supporting maternal hematological health without compromising hepatic, renal, cardiac, or thyroid function. The observed reductions in perceived stress and improvements in sleep parameters among pregnant women receiving ARE are consistent with the known adaptogenic and anxiolytic properties of the herb (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Mechanistic studies indicate that withanolides, the primary bioactive constituents of ARE modulate the hypothalamic&#x2013;pituitary&#x2013;adrenal (HPA) axis, attenuating cortisol release and enhancing resilience to psychosocial stressors (<xref ref-type="bibr" rid="B25">25</xref>). By dampening HPA axis hyperactivity, ARE may reduce physiological stress responses, facilitating improvements in both perceived stress and sleep quality (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). These findings are particularly reassuring given that the supplementation was administered in the second trimester, a period when maternal and fetal physiology are highly sensitive to external interventions. The absence of adverse effects confirms that ARE is tolerable when administered along with standard prenatal care.</p>
<p>In pregnancy, when both physiological and psychological stress can adversely affect maternal and fetal outcomes, these adaptogenic effects are particularly relevant (<xref ref-type="bibr" rid="B26">26</xref>). The present findings demonstrate that ARE supplementation not only lowers perceived stress scores but also improves multiple dimensions of sleep, including sleep latency, duration, and subjective quality. These improvements are likely mediated via HPA axis modulation and consequent reductions in stress-related hyperarousal, highlighting a direct mechanistic link between the biological effects of ARE and beneficial outcomes in this population (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Beyond stress and sleep, ARE supplementation demonstrated hematopoietic benefits, with observed improvements in erythropoiesis (<xref ref-type="bibr" rid="B27">27</xref>). The observed sleep benefits align with prior mechanistic studies showing that ARE promotes restorative sleep through HPA axis modulation and cortisol reduction. In the context of pregnancy, improved sleep latency and quality may translate into better maternal energy, mood regulation, and overall well-being (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Furthermore, these benefits may reduce reliance on pharmacologic sleep aids, offering a non-pharmacologic strategy for managing pregnancy-related sleep disturbances (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Taken together, the convergence of mechanistic evidence and clinical findings highlights the efficacy of ARE in pregnant women. By modulating the HPA axis, reducing cortisol levels, and exerting anxiolytic and adaptogenic effects, ARE supplementation may provide meaningful improvements in stress resilience, sleep quality, and hematopoietic health, without compromising maternal systemic safety (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). These data support the potential role of ARE as a safe and efficacious adjunctive intervention for enhancing maternal well-being during pregnancy (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>The absence of adverse events in this study, along with stable hepatic, renal, cardiac, and thyroid parameters, supports compliance with safety requirements typically expected for prenatal supplementation. These findings provide preliminary evidence that ARE may be integrated into maternal health strategies without violating regulatory standards.</p>
<p>While the present study demonstrates beneficial effects of ARE on hematological parameters, stress, and sleep in pregnant women, several limitations should be acknowledged. First, the sample size was relatively small, which may limit the generalizability of findings and the statistical power for detecting less pronounced effects. Second, the study duration was limited to 12 weeks; longer-term effects on maternal and fetal outcomes remain unknown. Third, this was a single-center study, and multi-center trials would help confirm the reproducibility of these findings across diverse populations. Fourth, fetal health outcomes were not assessed; although no maternal adverse events were reported, future studies are planned to monitor fetal development and growth parameters to ensure a comprehensive safety evaluation. The use of multiple paired and unpaired <italic>t</italic>-tests, rather than repeated-measures or mixed-effects modeling, represents a methodological limitation and may not fully account for within-subject correlations over time. Finally, while hematologic and sleep-related outcomes were rigorously monitored, other potential effects of ARE on metabolic or immunological parameters during pregnancy were not explored and could benefit from further investigation.</p>
<p>This study employed an open-label design, which introduces the potential for performance and detection bias, particularly for subjective, patient-reported outcomes such as perceived stress (PSS-10) and sleep quality (PSQI). While objective hematological and biochemical parameters are less susceptible to expectancy effects, self-reported measures may have been influenced by participants&#x2019; awareness of receiving an herbal intervention perceived as beneficial. Consequently, improvements in stress and sleep should be interpreted as associations rather than causal effects.</p>
<p>Given the ethical considerations in pregnancy, particularly the need to provide all participants with standard-of-care hematinic supplementation, a placebo arm was not included. Instead, participants were randomized to receive either ARE plus hematinic or hematinic alone. This design allowed evaluation of the additive benefit of ARE while ensuring no participant was deprived of essential antenatal care. The absence of a placebo-only control limits attribution of observed effects exclusively to the herbal intervention, particularly for subjective outcomes.</p>
<p>Routine fetal ultrasound scans were not incorporated into the study protocol, as all participants continued to receive standard antenatal care under their obstetricians. However, it was planned that in the event that an AE or SAE with potential fetal implications was reported, a fetal ultrasound scan was to be performed at the discretion of the treating physician to ensure maternal and fetal safety.</p>
</sec>
<sec id="s5" sec-type="conclusions"><title>Conclusion</title>
<p>In this randomized 12-week study involving pregnant women, adjunctive administration of Ashwagandha root extract (ARE) along with standard hematinic therapy was associated with modest improvements across maternal hematological parameters and patient-reported stress and sleep outcomes. The extract was well tolerated in the short term, with no clinically significant abnormalities observed in routine biochemical safety markers. Based on these findings, ARE appears to be helpful and well-tolerated, and is proposed to serve as a beneficial adjunctive option for supporting hematological health, stress resilience, and sleep quality in pregnant women.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>The studies involving humans were approved by Institutional Ethics Committee (IEC) of Biomedical and Health Research (IEC Reference No: EC/NEW/INST/2019/473). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>AA: Conceptualization, Data curation, Investigation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HT: Formal analysis, Resources, Writing &#x2013; review &#x0026; editing. AN: Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack><title>Acknowledgements</title>
<p>The authors thank Ixoreal Biomed Inc, Los Angeles, California, USA, for supplying the KSM-66 Ashwagandha root extract used in the study treatment.</p>
</ack>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The standardized Ashwagandha root extract (KSM-66) was supplied by Ixoreal Biomed Inc. The supplier had no role in study design, participant recruitment, data collection, statistical analysis, interpretation of results, or manuscript preparation. All analyses and interpretations were conducted independently by the investigators.</p>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s12" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11" sec-type="supplementary-material"><title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fgwh.2026.1767865/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fgwh.2026.1767865/full&#x0023;supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2632307/overview">H&#x00E9;lia Dias</ext-link>, Polytechnic Institute of Santar&#x00E9;m, Portugal</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1996853/overview">Samirul Bashir</ext-link>, University of Massachusetts Medical School, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3334900/overview">Dwi Lisa Nuraini</ext-link>, Sriwijaya University, Indonesia</p></fn>
</fn-group>
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