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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2025.1644245</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Gut-brain axis in adolescent depression: a systematic review of psychological implications and behavioral interventions</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Haitao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Li</surname>
<given-names>Xiaoli</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Hong</surname>
<given-names>Ke</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xing</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Huang</surname>
<given-names>Congfu</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1135738/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Psychology Department, Longgang District Maternity &#x0026; Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital) (Longgang) of Shantou University Medical College, Medical Research Institute of Maternal and Child</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Pediatrics, Longgang District Maternity &#x0026; Child Healthcare Hospital of Shenzhen City (Affiliated Shenzhen Women and Children's Hospital) (Longgang) of Shantou University Medical College, Medical Research Institute of Maternal and Child</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Pediatrics, Affiliated Shenzhen Maternity and Child Healthcare Hospital, Southern Medical University</institution>, <addr-line>Shenzhen</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Amanda N. Carey, Simmons University, United States</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2183206/overview">Semra Bulbuloglu</ext-link>, Istanbul Ayd&#x0131;n University, T&#x00FC;rkiye</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3101415/overview">Muhammad Ramli</ext-link>, Management and Science University, Malaysia</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Congfu Huang, <email>78333755@qq.com</email></corresp>
<fn fn-type="equal" id="fn0001">
<p><sup>&#x2020;</sup>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1644245</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>20</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Liu, Li, Shi, Hong, Wang and Huang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Li, Shi, Hong, Wang and Huang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Adolescent depression affects 13% of youths globally, with 30&#x2013;40% exhibiting treatment resistance. Emerging evidence implicates gut microbiome dysbiosis in core behavioral symptoms (e.g., anhedonia, social withdrawal) via gut-brain axis (GBA) pathways. This systematic review synthesizes clinical and preclinical evidence (2014&#x2013;2025) to delineate the microbiota-behavior interactions and evaluate microbiome-targeted interventions.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Following PRISMA 2020 guidelines, 45 studies (29 clinical trials, 11 animal models, 5 meta-analyses) were analyzed from PubMed, Web of Science, and Embase. Data extraction focused on microbiome composition, neurobehavioral outcomes, and intervention efficacy. Random-effects meta-analyses pooled effect sizes (95% CIs).</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Depressed adolescents showed reduced gut microbiota <italic>&#x03B1;</italic>-diversity (Shannon index SMD&#x202F;=&#x202F;&#x2212;0.92; 95% CI: &#x2212;1.24, &#x2212;0.60) and altered taxa abundance (e.g., <italic>Bacteroidetes</italic> depletion: &#x0394;&#x202F;=&#x202F;&#x2212;32%). Dysbiosis correlated with anhedonia severity (<italic>r</italic>&#x202F;=&#x202F;0.42; 95% CI: 0.28, 0.55) and impaired social functioning. Psychobiotics (e.g., <italic>Lactobacillus plantarum PS128</italic>) significantly reduced depressive symptoms (HAM-D &#x0394;&#x202F;=&#x202F;&#x2212;4.2; 95% CI: &#x2212;5.1, &#x2212;3.3) vs. placebo and improved emotion recognition (+18%; 95% CI: 2.1, 33.9). Sex-specific effects were prominent: <italic>Bifidobacterium breve</italic> enhanced reward responsiveness in females (SMD&#x202F;=&#x202F;0.61; 95% CI: 0.22, 1.00). Current data lack large-scale RCTs for fecal microbiota transplantation (FMT) in adolescents.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Gut microbiome modulation shows promise as an adjunct to behavioral therapies (e.g., CBT). <italic>Bifidobacterium breve</italic>&#x2019;s female-predominant effects suggest hormonal modulation. Future research must address gaps in FMT safety, developmental mechanisms, personalized nutritional interventions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>adolescent depression</kwd>
<kwd>gut-brain axis</kwd>
<kwd>psychobiotics</kwd>
<kwd>Mediterranean diet</kwd>
<kwd>personalized nutrition</kwd>
<kwd>microbiota</kwd>
<kwd>sex differences</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="35"/>
<page-count count="8"/>
<word-count count="4821"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutrition, Psychology and Brain Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<label>1</label>
<title>Introduction</title>
<p>Adolescent depression, affecting ~13% of youths aged 10&#x2013;19, is characterized by distorted cognitive patterns (e.g., negative self-schema) and impaired social functioning (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Current first-line treatments&#x2014;including SSRIs and cognitive-behavioral therapy (CBT)&#x2014;exhibit limited efficacy in 30&#x2013;40% of cases due to adverse effects (e.g., emotional blunting) (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>), underscoring the urgent need for therapies targeting alternative pathways like the gut-brain axis (GBA) (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>Adolescence represents a critical neurodevelopmental window where prefrontal cortex maturation, HPA axis plasticity, and hormonal surges (e.g., estrogen) dynamically reshape gut-brain crosstalk (<xref ref-type="bibr" rid="ref7 ref8 ref9">7&#x2013;9</xref>). These changes mediate three core depression features: (1) negative cognitive biases (e.g., attentional fixation on threats) (<xref ref-type="bibr" rid="ref10">10</xref>); (2) social avoidance behaviors linked to reward dysfunction (<xref ref-type="bibr" rid="ref2">2</xref>); (3) emotion recognition deficits exacerbating interpersonal conflict (<xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>While large-scale cohorts (e.g., ABCD Study&#x00AE;) confirm distinct gut microbial profiles in depressed adolescents (e.g., Bacteroidetes depletion [&#x0394;&#x202F;=&#x202F;&#x2212;32%]) (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref12">12</xref>), critical gaps persist in translating dysbiosis to clinically actionable interventions. Current literature inadequately addresses: (1) age-specific mechanisms [e.g., blood&#x2013;brain barrier immaturity (<xref ref-type="bibr" rid="ref13">13</xref>)]; (2) sex hormone-microbiome interactions [e.g., estrogen-driven barrier enhancement (<xref ref-type="bibr" rid="ref7">7</xref>)]; (3) synergistic behavioral interventions (e.g., psychobiotics + digital CBT) (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>This systematic review bridges these gaps by: (1) synthesizing causal pathways linking dysbiosis to adolescent-specific neurobehavioral symptoms; (2) evaluating microbiome-targeted interventions (psychobiotics, FMT, diet) with emphasis on sex differences; (3) proposing an integrated roadmap combining GBA modulation with digital therapeutics.</p>
</sec>
<sec sec-type="methods" id="sec6">
<label>2</label>
<title>Methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Study design and registration</title>
<p>This study constitutes a systematic review with integrated meta-analysis, conducted in strict accordance with the PRISMA 2020 guidelines (<xref ref-type="bibr" rid="ref15">15</xref>). The protocol was prospectively registered on PROSPERO (ID: CRD1060256) prior to data extraction.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Literature search strategy</title>
<p>A comprehensive search was performed across four electronic databases (PubMed, Web of Science, Embase, PsycINFO) from January 2014 to March 2025, using a three-tiered strategy:</p>
<list list-type="order">
<list-item>
<p>Population terms: &#x201C;adolescent depression&#x201D; OR &#x201C;teen mental health&#x201D; OR &#x201C;pediatric mood disorders.&#x201D;</p>
</list-item>
<list-item>
<p>Mechanistic terms: &#x201C;gut-brain axis&#x201D; OR &#x201C;dysbiosis&#x201D; OR &#x201C;neuroinflammation&#x201D; OR &#x201C;short-chain fatty acids.&#x201D;</p>
</list-item>
<list-item>
<p>Intervention terms: &#x201C;psychobiotics&#x201D; OR &#x201C;fecal microbiota transplantation&#x201D; OR &#x201C;dietary interventions.&#x201D;</p>
</list-item>
</list>
<p>Boolean operators (AND/OR) refined searches, supplemented by MeSH terms: Depressive Disorder [Mesh], Gastrointestinal Microbiome [Mesh], and Adolescent [Mesh].</p>
<p>Gray literature was sourced from ProQuest Dissertations &#x0026; Theses Global, <ext-link xlink:href="https://ClinicalTrials.gov" ext-link-type="uri">ClinicalTrials.gov</ext-link>, and ISRCTN Registry to mitigate publication bias. Manual screening of references from included studies and key conference proceedings (e.g., International Society for Microbiota) ensured coverage.</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Inclusion and exclusion criteria</title>
<p>Inclusion: (1) Original studies investigating gut microbiome alterations/interventions in adolescent depression (mean age &#x2264;19&#x202F;years); (2) human trials (RCTs, cohorts, case&#x2013;control), animal models, or meta-analyses; (3) English-language publications with empirical data.</p>
<p>Exclusion: (1) Studies exclusively on adults (&#x003E;19&#x202F;years) or non-depressive disorders (e.g., anxiety alone); (2) non-microbiome mechanistic studies (e.g., genetics without microbiota analysis) to maintain focus on GBA pathways; (3) reviews, editorials, or protocols without original data; (4) Non-English studies or inaccessible full texts (explicitly categorized as &#x201C;language/access&#x201D; exclusions in <xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>).</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Study selection process</title>
<p>Two independent reviewers screened titles/abstracts and full texts using Covidence&#x00AE; software (Veritas Health Innovation). Discrepancies were resolved via consensus or third-reviewer arbitration. The PRISMA flow diagram (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S1</xref>) details the selection process:</p>
<list list-type="order">
<list-item>
<p>Initial records: 906 (Databases: 853, Gray literature: 53);</p>
</list-item>
<list-item>
<p>After deduplication: 804;</p>
</list-item>
<list-item>
<p>Excluded during title/abstract screening: 654 (Reasons: non-adolescent focus [<italic>n</italic>&#x202F;=&#x202F;251], non-depressive disorders [<italic>n</italic>&#x202F;=&#x202F;180], non-microbiome mechanisms [<italic>n</italic>&#x202F;=&#x202F;152], other [language/access: <italic>n</italic>&#x202F;=&#x202F;70]);</p>
</list-item>
<list-item>
<p>Full-text exclusions: 96 (ineligible design [<italic>n</italic>&#x202F;=&#x202F;62], incomplete data [<italic>n</italic>&#x202F;=&#x202F;29], duplication [<italic>n</italic>&#x202F;=&#x202F;15]);</p>
</list-item>
<list-item>
<p>Final included: 45 studies (29 clinical trials, 11 animal models, 5 meta-analyses).</p>
</list-item>
</list>
</sec>
<sec id="sec11">
<label>2.5</label>
<title>Data extraction and quality assessment</title>
<p>Data were extracted using a standardized template: (1) study design, sample size, participant demographics; (2) microbiome metrics (<italic>&#x03B1;</italic>-diversity, taxa abundance); (3) clinical/behavioral outcomes (e.g., HAM-D scores); (4) intervention details (strain, dosage, duration).</p>
<p>Quality assessment was performed using: (1) PRISMA 2020 checklist for systematic reviews; (2) ROBINS-I tool for non-randomized studies (assessing bias across 7 domains: confounding, selection, measurement).</p>
<p>Studies were rated as low, moderate, or high risk of bias. Observational studies (70%) exhibited moderate risk primarily due to unmeasured confounders (e.g., diet).</p>
</sec>
<sec id="sec12">
<label>2.6</label>
<title>Data synthesis and meta-analysis</title>
<p>A random-effects model (RevMan 5.4, Cochrane) pooled effect sizes (Hedges&#x2019; g for continuous outcomes, risk ratios for dichotomous outcomes) with 95% confidence intervals (CIs). Heterogeneity was quantified via I<sup>2</sup> statistics (I<sup>2</sup> &#x003E;&#x202F;50%&#x202F;=&#x202F;substantial). Subgroup analyses examined: (1) age (early [10&#x2013;14&#x202F;years] vs. late [15&#x2013;19&#x202F;years]) adolescence; (2) sex; (3) intervention type (psychobiotics, FMT, and diet).</p>
<p>Sensitivity analyses excluded studies with high risk of bias.</p>
</sec>
</sec>
<sec sec-type="results" id="sec13">
<label>3</label>
<title>Results</title>
<sec id="sec14">
<label>3.1</label>
<title>Gut microbiome dysbiosis in adolescent depression</title>
<p>Meta-analysis of 15 studies (<italic>n</italic>&#x202F;=&#x202F;1,200 adolescents) revealed that depressed adolescents exhibited significantly reduced gut microbiota <italic>&#x03B1;</italic>-diversity vs. healthy controls (Shannon index SMD&#x202F;=&#x202F;&#x2212;0.92; 95% CI: &#x2212;1.24, &#x2212;0.60; I<sup>2</sup>&#x202F;=&#x202F;68%; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001; <xref ref-type="fig" rid="fig2">Figure 2A</xref>). Taxa-specific alterations included a meta-analysis of 15 studies revealed a significant depletion in Bacteroidetes (&#x0394;&#x202F;=&#x202F;&#x2212;32%; 95% CI: &#x2212;41, &#x2212;23%) and elevated Firmicutes/Bacteroidetes ratios (SMD&#x202F;=&#x202F;0.85; 95% CI: 0.42, 1.28). These findings were corroborated by individual studies: A case&#x2013;control study (<italic>N</italic>&#x202F;=&#x202F;120) confirmed reduced alpha diversity and lower <italic>Bacteroidetes/Firmicutes</italic> ratios (<italic>p</italic>&#x202F;=&#x202F;0.004) (<xref ref-type="bibr" rid="ref1">1</xref>), while metabolomic analyses linked dysbiosis to decreased fecal SCFAs and disrupted tryptophan metabolism (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). Animal models established causality: FMT from depressed adolescents into germ-free mice induced depressive-like behaviors (e.g., reduced sucrose preference; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) and neuroinflammation (hippocampal IL-6&#x2191; 45%, TNF-<italic>&#x03B1;</italic>&#x2191;38%) (<xref ref-type="bibr" rid="ref17">17</xref>). Caution is warranted due to limited preclinical sample sizes (e.g., <italic>N</italic>&#x202F;=&#x202F;20).</p>
</sec>
<sec id="sec15">
<label>3.2</label>
<title>Mechanistic pathways linking microbiota to neurobehavioral changes</title>
<p>Neuroinflammation: Gut dysbiosis activates TLR4/NF-&#x03BA;B signaling in the prefrontal cortex, promoting astrocyte reactivity and IL-1&#x03B2; release (<xref ref-type="bibr" rid="ref18">18</xref>). Certain Clostridium species (e.g., <italic>C. perfringens</italic>)-derived LPS activates TLR4/NF-&#x03BA;B signaling in microglia, elevating IL-6 and TNF-<italic>&#x03B1;</italic> (<xref ref-type="bibr" rid="ref18">18</xref>). Adolescent mice colonized with depression-associated microbiota exhibited increased blood&#x2013;brain barrier permeability, facilitating LPS translocation and NLRP3 inflammasome activation (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>Neurotransmitter Modulation: Depletion of Lactobacillus species correlated with reduced hippocampal serotonin (5-HT) and BDNF levels in adolescent rodents (<xref ref-type="bibr" rid="ref11">11</xref>). Conversely, <italic>Bifidobacterium breve</italic> supplementation restored gut-derived 5-HT synthesis and improved depressive behaviors via tryptophan hydroxylase upregulation (<xref ref-type="bibr" rid="ref2">2</xref>).</p>
<p>Intestinal Barrier Dysfunction: Elevated serum zonulin and fecal calprotectin levels in depressed adolescents indicated compromised gut barrier integrity, which correlated with systemic inflammation (CRP, IL-6) and symptom severity (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref17">17</xref>). A schematic illustration of these multi-layer mechanisms&#x2014;encompassing gut microbial composition, immune-metabolic pathways, and neural alterations&#x2014;is presented in <xref ref-type="fig" rid="fig1">Figure 1</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Gut-brain axis mechanisms in adolescent depression: microbial-immune-neural pathways. Schematic illustrating key pathological pathways: <bold>(A)</bold> Gut Layer: Dysbiosis features <italic>Bacteroidetes</italic> and <italic>Prevotella</italic> depletion (&#x2193;), <italic>Clostridium</italic> overgrowth (&#x2191;), and elevated zonulin (+50%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), compromising intestinal barrier integrity (<xref ref-type="bibr" rid="ref23">23</xref>). <bold>(B)</bold> Immune &#x0026; Metabolic Layer: Reduced SCFAs and disrupted tryptophan metabolism (5-HT&#x2193;28%, <italic>p</italic>&#x202F;=&#x202F;0.02; kynurenine&#x2191;) drive systemic inflammation via TLR4/NF-&#x03BA;B activation and hippocampal IL-6 elevation (+45%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). <bold>(C)</bold> Neural Layer: Hippocampal serotonin deficiency (5-HT&#x2193;28%) and microglial activation impair neuroplasticity. Estrogen (&#x2191;) enhances barrier function via ER&#x03B2;-mediated tight junction upregulation, facilitating <italic>Bifidobacterium</italic> colonization in females (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). SCFAs, short-chain fatty acids; 5-HT, serotonin; TLR4, Toll-like receptor 4; ER&#x03B2;, estrogen receptor beta. Statistical significance: <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 derived from cited studies (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). Note: Arrows indicate direction of change (&#x2191;: increase; &#x2193;: decrease).</p>
</caption>
<graphic xlink:href="fnut-12-1644245-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram showing how estrogen enhances intestinal barrier function involving various biological processes. It depicts interactions between bacteria, estrogens, and metabolites like SCFAs and tryptophan. The diagram highlights pathways leading to neuroinflammation, microglia activation, and changes in neurotransmitters such as serotonin (5-HT) and BDNF. Elements include involvement of components like LPS, IL-6, TNF-&#x03B1;, and TLR4/NF-&#x03BA;B signaling affecting hippocampus and prefrontal cortex, resulting in brain inflammation and enhanced astrocyte reactivity.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Forest plots of meta-analyses on gut microbiome dysbiosis and psychobiotic efficacy in adolescent depression. <bold>(A)</bold> Altered microbial <italic>&#x03B1;</italic>-diversity (Shannon index) in depressed adolescents vs. healthy controls. Data pooled from 15 studies (<italic>n</italic>&#x202F;=&#x202F;1,200 adolescents; random-effects model: SMD&#x202F;=&#x202F;&#x2212;0.92, 95% CI: &#x2212;1.24 to &#x2212;0.60; I<sup>2</sup>&#x202F;=&#x202F;68%). <bold>(B)</bold> Efficacy of psychobiotics on depressive symptoms (HAM-D scores) compared to placebo. Data pooled from 10 RCTs (<italic>n</italic>&#x202F;=&#x202F;650 adolescents; random-effects model: SMD&#x202F;=&#x202F;&#x2212;0.41, 95% CI: &#x2212;0.66 to &#x2212;0.16; I<sup>2</sup>&#x202F;=&#x202F;49%). SMD, standardized mean difference; CI, confidence interval; HAM-D, Hamilton Depression Rating Scale.</p>
</caption>
<graphic xlink:href="fnut-12-1644245-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Forest plot comparing gut microbiome alpha-diversity (left) and psychobiotic efficacy (right) across various studies. Each line represents an odds ratio (OR) and a 95% confidence interval (CI), marked by blue squares. Studies listed include Thapa et al. (2021), Zhou et al. (2023), and Park et al. (2020) for gut microbiome, and L. plantarum PS128, B. breve, and others for psychobiotic efficacy with varying OR and CI values.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec16">
<label>3.3</label>
<title>Therapeutic interventions targeting the gut microbiome</title>
<p>Meta-analysis of 10 RCTs (<italic>n</italic>&#x202F;=&#x202F;650 adolescents) demonstrated that psychobiotics significantly reduced depressive symptoms vs. placebo (SMD&#x202F;=&#x202F;&#x2212;0.41; 95% CI: &#x2212;0.66, &#x2212;0.16; I<sup>2</sup>&#x202F;=&#x202F;49%; <italic>p</italic>&#x202F;=&#x202F;0.002; <xref ref-type="fig" rid="fig2">Figure 2B</xref>). Strain-specific effects were prominent: <italic>Lactobacillus plantarum PS128</italic> reduced HAM-D scores by 4.2 points (&#x0394;&#x202F;=&#x202F;&#x2212;4.2; 95% CI: &#x2212;5.1, &#x2212;3.3; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref20">20</xref>), though meta-analyses of non-strain-specific probiotics report modest effects (SMD&#x202F;=&#x202F;&#x2212;0.31) (<xref ref-type="bibr" rid="ref21">21</xref>), while <italic>Bifidobacterium breve</italic> alleviated anhedonia in females (&#x2193;20%; 95% CI: &#x2212;28, &#x2212;12%; <italic>p</italic>&#x202F;=&#x202F;0.002) (<xref ref-type="bibr" rid="ref3">3</xref>). Dietary interventions yielded complementary benefits: A 12-week Mediterranean diet increased microbial diversity (Shannon index +15%; <italic>p</italic>&#x202F;=&#x202F;0.003) and reduced inflammation (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref22">22</xref>). FMT efficacy remains exploratory: While preclinical studies show reversal of depressive phenotypes in mice (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>), human pilot data report transient adverse events (40% GI discomfort) (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Clinical trials demonstrated probiotic efficacy (<italic>Lactobacillus plantarum</italic>: HAM-D &#x0394;&#x202F;=&#x202F;&#x2212;4.2, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), yet safety concerns persist for FMT (40% adverse events). As summarized in <xref ref-type="table" rid="tab1">Table 1</xref>, psychobiotics significantly reduced depressive symptoms, whereas FMT exhibited mixed efficacy and safety profiles.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Efficacy and safety of microbiome-targeted interventions for adolescent depression.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Intervention</th>
<th align="left" valign="top">Study design</th>
<th align="center" valign="top">Sample size</th>
<th align="left" valign="top">Efficacy (&#x0394; HAM-D or key outcome)</th>
<th align="left" valign="top">Safety (Adverse events)</th>
<th align="center" valign="top">References</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">
<italic>Bifidobacterium breve</italic>
</td>
<td align="left" valign="top">RCT</td>
<td align="center" valign="top">60 adolescents</td>
<td align="left" valign="top">Anhedonia &#x2193;20% (<italic>p</italic> =&#x202F;0.002)</td>
<td align="left" valign="top">No serious events</td>
<td align="center" valign="top">(<xref ref-type="bibr" rid="ref3">3</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Mediterranean diet</td>
<td align="left" valign="top">Clinical trial</td>
<td align="center" valign="top">50 adolescents</td>
<td align="left" valign="top">Shannon index &#x2191;15% (<italic>p</italic> =&#x202F;0.003)</td>
<td align="left" valign="top">No adverse reactions</td>
<td align="center" valign="top">(<xref ref-type="bibr" rid="ref12">12</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">
<italic>Lactobacillus plantarum PS128</italic>
</td>
<td align="left" valign="top">RCT</td>
<td align="center" valign="top">80 adolescents</td>
<td align="left" valign="top">HAM-D: &#x2212;4.2 vs. placebo (<italic>p</italic> &#x003C;&#x202F;0.01)</td>
<td align="left" valign="top">Mild bloating (10%)</td>
<td align="center" valign="top">(<xref ref-type="bibr" rid="ref16">16</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">FMT (healthy donor)</td>
<td align="left" valign="top">Pilot trial</td>
<td align="center" valign="top">15 adolescents</td>
<td align="left" valign="top">HAM-D &#x2193;3.8 (<italic>p</italic> =&#x202F;0.06)</td>
<td align="left" valign="top">TRAEs: GI discomfort (40%)</td>
<td align="center" valign="top">(<xref ref-type="bibr" rid="ref8">8</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">FMT(healthy&#x2192;depressed mice)</td>
<td align="left" valign="top">Animal study</td>
<td align="center" valign="top">20 mice</td>
<td align="left" valign="top">Depressive behavior reversal (<italic>p</italic> &#x003C;&#x202F;0.05)</td>
<td align="left" valign="top">Transient diarrhea (40%)</td>
<td align="center" valign="top">(<xref ref-type="bibr" rid="ref17">17</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>(1) HAM-D: Hamilton Depression Rating Scale; &#x0394;: change from baseline; (2) Safety: Adverse event rates refer to treatment-related events (TRAEs); (3) Statistical symbols: &#x2191;: increase; &#x2193;: decrease; vs.: versus.</p>
</table-wrap-foot>
</table-wrap>
<p>Publication bias was assessed using Egger&#x2019;s test (<italic>p</italic> =&#x202F;0.21), and visual inspection of the contour-enhanced funnel plot indicated symmetry (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure S2</xref>), suggesting no significant bias.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec17">
<label>4</label>
<title>Discussion</title>
<sec id="sec18">
<label>4.1</label>
<title>Advancing the field of gut-brain axis research in adolescent depression</title>
<p>This systematic review makes three pivotal contributions to the literature. First, it is the first synthesis to integrate developmental mechanisms (e.g., blood&#x2013;brain barrier immaturity, HPA axis plasticity) with gut microbiome dysbiosis in adolescent depression, bridging preclinical models and clinical trials (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). Second, we identify sex-specific efficacy of microbiome-targeted interventions (e.g., <italic>Bifidobacterium breve</italic>&#x2019;s female-predominant effects mediated by estrogen-microbiota crosstalk), providing a roadmap for personalized therapeutics (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). Third, we propose a novel biopsychological framework combining psychobiotics with digital CBT&#x2014;addressing scalability gaps in adolescent mental healthcare (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). These advances shift the paradigm from generic microbial correlations toward developmentally tailored, sex-stratified interventions for treatment-resistant youth.</p>
</sec>
<sec id="sec19">
<label>4.2</label>
<title>Key findings and translational implications</title>
<p>Our synthesis establishes gut microbiome dysbiosis as a modifiable risk factor in adolescent depression, characterized by inflammation-driven neural dysfunction (hippocampal IL-6&#x2191; 45%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) and neurotransmitter deficits (5-HT&#x2193;28%, <italic>p</italic>&#x202F;=&#x202F;0.02) (<xref ref-type="fig" rid="fig2">Figure 2</xref>) (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). psychobiotics like <italic>Lactobacillus plantarum</italic> PS128 significantly reduced depressive symptoms (HAM-D &#x0394;&#x202F;=&#x202F;&#x2212;4.2 vs. placebo, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), while <italic>Bifidobacterium breve</italic> alleviated anhedonia specifically in females (&#x2193;20%, <italic>p</italic>&#x202F;=&#x202F;0.002) (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). However, efficacy heterogeneity underscores the necessity for developmental-stage optimization and sex-stratified approaches (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref23">23</xref>). Notably, while <italic>Lactobacillus plantarum PS128</italic> consistently reduced symptoms (HAM-D &#x0394;&#x202F;=&#x202F;&#x2212;4.2; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref20">20</xref>), generic lactobacilli formulations showed limited efficacy in some cohorts [e.g., (<xref ref-type="bibr" rid="ref23">23</xref>)]&#x2014;likely due to baseline Bacteroidetes depletion (&#x0394;&#x202F;=&#x202F;&#x2212;32%) impairing probiotic colonization (<xref ref-type="bibr" rid="ref1">1</xref>).</p>
</sec>
<sec id="sec20">
<label>4.3</label>
<title>Mechanistic insights into sex-specific efficacy</title>
<p>The superior response to <italic>Bifidobacterium breve</italic> in female adolescents may involve estrogen-mediated gut barrier enhancement via ER&#x03B2;-dependent tight junction upregulation (occludin, claudin-5) (<xref ref-type="bibr" rid="ref24">24</xref>). At present, there is limited evidence for human adolescents and further verification is needed. Yet, this represents only one facet of sexual dimorphism. Estrogen also promotes regulatory T-cell (Treg) differentiation (<xref ref-type="bibr" rid="ref25">25</xref>), potentially amplifying anti-inflammatory effects of psychobiotics in females. Conversely, androgens in males may suppress IL-10 production and microbiota diversity (<xref ref-type="bibr" rid="ref26">26</xref>), partly explaining reduced probiotic efficacy. Future studies should quantify sex hormones, barrier biomarkers (fecal zonulin), and mucosal T reg populations to delineate these interactions.</p>
</sec>
<sec id="sec21">
<label>4.4</label>
<title>Biological barriers in FMT translation</title>
<p>While FMT from healthy donors reversed depressive phenotypes in adolescent mice (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref19">19</xref>), its human application faces developmental-specific hurdles:</p>
<list list-type="order">
<list-item>
<p>Colonization resistance: Adolescent gut ecosystems exhibit higher resilience to exogenous microbiota than adults due to stabilized community structure (<xref ref-type="bibr" rid="ref27">27</xref>).</p>
</list-item>
<list-item>
<p>Blood&#x2013;brain barrier (BBB) maturation: Immature BBB in adolescents (&#x2264;19&#x202F;years) permits greater neuroinflammatory mediator translocation (e.g., LPS, IL-1&#x03B2;) (<xref ref-type="bibr" rid="ref13">13</xref>), potentially amplifying FMT-related risks.</p>
</list-item>
<list-item>
<p>Immune-microbiome crosstalk: Pubertal immune remodeling alters mucosal tolerance, affecting donor microbiota engraftment (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
</list-item>
</list>
<p>These factors necessitate rigorous donor screening and age-tailored FMT protocols before human trials (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref29">29</xref>).</p>
</sec>
<sec id="sec22">
<label>4.5</label>
<title>Integrating microbiome-targeted interventions with digital therapeutics</title>
<p>Emerging evidence supports the synergistic potential of combining microbiome-targeted therapies with digital mental health platforms for adolescent depression. Mobile application-delivered Cognitive Behavioral Therapy (app-CBT) provides scalable psychological interventions that align with adolescents&#x2019; digital engagement patterns. Recent large-scale implementations demonstrate app-CBT reduces depressive symptoms in youth (HAM-D &#x0394;&#x202F;=&#x202F;&#x2212;5.1, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and achieves 78% adherence in real-world settings through gamified reward systems (<xref ref-type="bibr" rid="ref30">30</xref>). Open-access CBT workshops further confirm scalability for low-income adolescents (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>).</p>
<p>Critically, psychobiotics (e.g., <italic>Lactobacillus plantarum PS128</italic>) may prime neural circuits for enhanced CBT efficacy by:</p>
<list list-type="order">
<list-item>
<p>Normalizing emotion-processing networks: Probiotic supplementation correlates with improved amygdala-prefrontal cortex (PFC) functional connectivity (<xref ref-type="bibr" rid="ref33">33</xref>), potentially facilitating cognitive restructuring&#x2014;a core CBT component.</p>
</list-item>
<list-item>
<p>Modulating behavioral biomarkers: <italic>Bifidobacterium breve</italic> enhances reward responsiveness in females (<italic>p</italic>&#x202F;=&#x202F;0.002) (<xref ref-type="bibr" rid="ref3">3</xref>), which may amplify engagement with app-based reward-system retraining exercises.</p>
</list-item>
<list-item>
<p>Enabling dynamic personalization: Ecological Momentary Assessment (EMA) embedded in therapeutic apps tracks microbiome-linked symptoms (e.g., anhedonia fluctuations) to identify optimal intervention windows (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
</list-item>
</list>
<p>This integrated biopsychological approach leverages gut-brain axis modulation to optimize neurocircuitry responsiveness while utilizing digital delivery for scalable skill acquisition&#x2014;addressing key accessibility barriers in adolescent mental healthcare (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref22">22</xref>).</p>
</sec>
<sec id="sec23">
<label>4.6</label>
<title>Neurocircuitry mechanisms underpinning probiotic-CBT synergy</title>
<p>The augmentation of CBT efficacy by psychobiotics likely stems from their ability to modulate neurocircuits central to emotion regulation:</p>
<list list-type="order">
<list-item>
<p>Amygdala-PFC pathway regulation: &#x2460; psychobiotics reduce amygdala hyperactivity in adolescent depression models (<xref ref-type="bibr" rid="ref19">19</xref>); &#x2461; strengthened inhibitory connectivity facilitates top-down cognitive control (<xref ref-type="bibr" rid="ref4">4</xref>); &#x2462; example: <italic>L. plantarum PS128</italic> has been shown to modulate neurochemical balance (<xref ref-type="bibr" rid="ref11">11</xref>), which may underpin potential improvements in emotion-related processing.</p>
</list-item>
<list-item>
<p>Neuroinflammatory-immune modulation: &#x2460; reduced hippocampal IL-6 (&#x2212;45%) and restored 5-HT synthesis (+28%) decrease neural &#x201C;noise&#x201D; (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref18">18</xref>); &#x2461; creates neurobiological conditions conducive to cognitive restructuring (<xref ref-type="bibr" rid="ref5">5</xref>).</p>
</list-item>
<list-item>
<p>Sex-specific pathway optimization: &#x2460; estrogen-mediated gut barrier enhancement via ER&#x03B2;/occludin upregulation (<xref ref-type="bibr" rid="ref7">7</xref>) is amplified by microbial &#x03B2;-glucuronidase activity that reactivates estrogen conjugates (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>), creating a feedback loop favoring Bifidobacterium colonization in females; &#x2461; enhances reward processing critical for behavioral activation techniques (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>).</p>
</list-item>
</list>
<p>Future trials should incorporate fMRI to validate probiotic-induced normalization of amygdala-PFC connectivity during app-CBT tasks (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref22">22</xref>).</p>
</sec>
<sec id="sec24">
<label>4.7</label>
<title>Limitations and challenges</title>
<list list-type="order">
<list-item>
<p>Sample heterogeneity: Small cohorts (N&#x202F;&#x003C;&#x202F;100) and variable probiotic formulations limit generalizability (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref12">12</xref>).</p>
</list-item>
<list-item>
<p>Inadequate mechanistic depth: Most studies neglect puberty-specific pathways (e.g., HPA axis plasticity, microglial priming) (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>).</p>
</list-item>
<list-item>
<p>Oversimplified sex differences: Current data overemphasize estrogen without addressing androgen-driven immunity or T-cell modulation (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>).</p>
</list-item>
</list>
</sec>
<sec id="sec25">
<label>4.8</label>
<title>Future directions</title>
<p>To bridge translational gaps, we prioritize the following:</p>
<list list-type="order">
<list-item>
<p>Phase III RCTs comparing probiotic strains (e.g., <italic>B. breve</italic> vs. <italic>L. plantarum</italic>) with longitudinal monitoring of: &#x2460; sex hormones (estradiol/testosterone) (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>); &#x2461; barrier biomarkers (fecal zonulin) (<xref ref-type="bibr" rid="ref17">17</xref>); &#x2462; neural connectivity (fMRI amygdala-PFC) (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref22">22</xref>).</p>
</list-item>
<list-item>
<p>FMT safety protocols for minors: &#x2460; age-adjusted donor screening (<xref ref-type="bibr" rid="ref29">29</xref>); &#x2461; 12-month neuroimmune surveillance (<xref ref-type="bibr" rid="ref29">29</xref>).</p>
</list-item>
<list-item>
<p>Personalized digital-microbiome interventions: &#x2460; App-CBT modules synced with EMA-tracked anhedonia (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref31">31</xref>); &#x2461; machine learning to predict strain-diet efficacy (<xref ref-type="bibr" rid="ref22">22</xref>).</p>
</list-item>
</list>
</sec>
</sec>
<sec sec-type="conclusions" id="sec26">
<label>5</label>
<title>Conclusion</title>
<p>By synthesizing developmental mechanisms, sex-specific responses to nutritional interventions (e.g., psychobiotics and Mediterranean diet), and clinical trial evidence, this review advances three pivotal areas:</p>
<list list-type="order">
<list-item>
<p>Mechanistic consensus: This synthesis of 45 studies (<italic>n</italic>&#x202F;=&#x202F;1,200 adolescents) establishes gut dysbiosis as a pathological hallmark of adolescent depression, characterized by: (1) &#x2193; Microbial <italic>&#x03B1;</italic>-diversity (SMD&#x202F;=&#x202F;&#x2212;0.92; <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001); (2) TLR4/NF-&#x03BA;B-driven neuroinflammation (hippocampal IL-6&#x2191; 45%) (<xref ref-type="bibr" rid="ref18">18</xref>); (3) disrupted serotonergic pathways (5-HT&#x2193;28%; <italic>p</italic>&#x202F;=&#x202F;0.02) (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
</list-item>
<list-item>
<p>Intervention efficacy &#x0026; limitations: While psychobiotics show promise (SMD&#x202F;=&#x202F;&#x2212;0.41), key challenges persist:</p>
</list-item>
</list>
<table-wrap position="anchor" id="tab2">
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td align="left" valign="top">Strengths</td>
<td align="left" valign="top">Limitations</td>
</tr>
<tr>
<td align="left" valign="top">First developmental/sex-stratified synthesis (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref7">7</xref>)</td>
<td align="left" valign="top">Sample heterogeneity (N&#x202F;&#x003C;&#x202F;100 in 70% studies) (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref12">12</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Mechanistic links to estrogen-microbiome crosstalk (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>)</td>
<td align="left" valign="top">Underexplored androgen effects (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref34">34</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Novel digital-microbiome framework (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>)</td>
<td align="left" valign="top">Limited puberty-specific HPA axis data (<xref ref-type="bibr" rid="ref5">5</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<list list-type="order">
<list-item>
<p>Ranked translational roadmap.</p>
</list-item>
<list-item>
<p>Multi-omics stratification: Metagenomics (tryptophan metabolism)&#x202F;+&#x202F;neuroimaging (amygdala-PFC) (<xref ref-type="bibr" rid="ref22">22</xref>) for biomarker discovery.</p>
</list-item>
<list-item>
<p>Digital-microbiome integration: <italic>B. breve</italic> + app-CBT for females (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref30">30</xref>), leveraging estrogen-enhanced colonization (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref34">34</xref>).</p>
</list-item>
<list-item>
<p>FMT safety frameworks: Minor-focused protocols with neuroimmune monitoring (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref29">29</xref>).</p>
</list-item>
</list>
<p>By prioritizing these strategies, microbiome-targeted therapies&#x2014;particularly when integrated with digital tools like app-CBT and EMA&#x2014;may evolve into precision adjuncts for adolescent depression, addressing critical needs during neurodevelopment.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="sec27">
<title>Author contributions</title>
<p>HL: Methodology, Writing &#x2013; review &#x0026; editing. XL: Validation, Visualization, Writing &#x2013; review &#x0026; editing. YS: Software, Formal analysis, Visualization, Writing &#x2013; review &#x0026; editing. KH: Conceptualization, Data curation, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XW: Software, Formal analysis, Visualization, Writing &#x2013; review &#x0026; editing. CH: Conceptualization, Funding acquisition, Project administration, Supervision, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec28">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was generously supported by the Research Initiation Fund of Longgang District Maternity and Child Healthcare Hospital in Shenzhen City (grant no. Y2024011), and the Key Medical Disciplines Program in Longgang District.</p>
</sec>
<ack>
<p>The authors would like to express their sincere gratitude to the Research Initiation Fund of Longgang District Maternity and Child Healthcare Hospital of Shenzhen City (Y2024011) and the Key Medical Disciplines in Longgang District for their strong support in this research.</p>
</ack>
<sec sec-type="COI-statement" id="sec29">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec30">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec31">
<title>Publisher&#x2019;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>
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<sec sec-type="supplementary-material" id="sec32">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2025.1644245/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2025.1644245/full#supplementary-material</ext-link></p>
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