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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">893166</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.893166</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A Randomized Controlled Dose-Escalation Study of LY06006, a Recombinant Humanized Monoclonal Antibody to RANKL, in Chinese Healthy Adults</article-title>
<alt-title alt-title-type="left-running-head">Niu et al.</alt-title>
<alt-title alt-title-type="right-running-head">Pharmacokinetics and Pharmacodynamics of Denosumab</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Niu</surname>
<given-names>Suping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Min</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1695708/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Diqin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1804723/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xiangxing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Shuren</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ou</surname>
<given-names>Lun</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Huaying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lv</surname>
<given-names>Jie</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Qian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dong</surname>
<given-names>Wenliang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xia</surname>
<given-names>Lin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Simin</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Gang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gu</surname>
<given-names>Qun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Danjie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Hongxia</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rao</surname>
<given-names>Huiying</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1268084/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Qingshan</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Nie</surname>
<given-names>Xiaoyan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1763487/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Song</surname>
<given-names>Haifeng</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Fang</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Science and Research</institution>, <institution>Peking University People&#x2019;s Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Pharmacy</institution>, <institution>Peking University People&#x2019;s Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Pharmacy Administration and Clinical Pharmacy</institution>, <institution>School of Pharmaceutical</institution>, <institution>Peking University</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>School of Pharmacy</institution>, <institution>Xuzhou Medical University</institution>, <addr-line>Xuzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Shandong Boan Biotechnology Co., Ltd.</institution>, <addr-line>Yantai</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Beijing United-Power Pharma Tech Co., Ltd.</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Department of Intensive Care Units</institution>, <institution>Peking University People&#x2019;s Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Shanghai University of Traditional Chinese Medicine</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Peking University People&#x2019;s Hospital</institution>, <institution>Peking University Hepatology Institute</institution>, <institution>Beijing Key Laboratory of Hepatitis C and Immunotherapy for Liver Disease</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>The Center for Drug Clinical Research of Shanghai University of TCM</institution>, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>State Key Laboratory of Proteomics</institution>, <institution>Beijing Proteome Research Center</institution>, <institution>National Center for Protein Sciences (Beijing)</institution>, <institution>Beijing Institute of Lifeomics</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1513203/overview">Rodrigo Cristofoletti</ext-link>, University of Florida, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1771597/overview">Jin Niu</ext-link>, Janssen Pharmaceuticals, Inc., United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/843183/overview">Antimo Moretti</ext-link>, University of Campania Luigi Vanvitelli, Italy</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Xiaoyan Nie, <email>niexy@pku.edu.cn</email>; Haifeng Song, <email>songhf@nic.bmi.ac.cn</email>; Yi Fang, <email>phaseistudy@163.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Drug Metabolism and Transport, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>893166</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>05</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Niu, Chen, Yan, Liu, Guo, Ou, Fan, Lv, Wang, Dong, Xia, Wang, Liu, Gu, Guo, Liu, Rao, Zheng, Nie, Song and Fang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Niu, Chen, Yan, Liu, Guo, Ou, Fan, Lv, Wang, Dong, Xia, Wang, Liu, Gu, Guo, Liu, Rao, Zheng, Nie, Song and Fang</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>
<p>
<bold>Background:</bold> This study was conducted to explore the safety, tolerance, pharmacokinetics, pharmacodynamics, and immunogenicity of LY06006, a recombinant humanized monoclonal antibody to RANKL, when administrated subcutaneously in Chinese healthy adults.</p>
<p>
<bold>Research design and methods:</bold> This was a randomized, double-blinded, placebo-controlled, single ascending dose study performed in 32 healthy Chinese adults, who were randomly assigned to receive a single injection dose of 18, 60, 120&#xa0;mg study drug or placebo with a follow-up of 140&#x2013;252&#xa0;days.</p>
<p>
<bold>Results:</bold> No deaths or drug-related serious adverse events occurred. LY06006 was rapidly absorbed in the 60&#xa0;mg group with a T<sub>max</sub> range of 120&#x2013;480&#xa0;h and serum LY06006 concentrations decreased slowly 11&#x2013;13&#xa0;days after dosing with a long mean (SD) half-life of 389.58 (63.44) h. The most frequent AEs were elevated serum parathyroid hormone (PTH) level (83.3%), hypocalcemia (54.2%), and hypophosphatemia (45.8%). None of the 32 subjects tested positive for anti-drug antibody during the trial.</p>
<p>
<bold>Conclusion:</bold> Single-dose subcutaneous administration of LY06006 was safe and well-tolerated in healthy Chinese adults. C<sub>max</sub> showed linear pharmacokinetic characteristics in the dose range of 18&#x2013;120&#xa0;mg based on dose-exposure proportionality analysis.</p>
</abstract>
<kwd-group>
<kwd>pharmacokinetics</kwd>
<kwd>pharmacodynamics</kwd>
<kwd>immunogenicity</kwd>
<kwd>denosumab</kwd>
<kwd>RANK/RANKL</kwd>
<kwd>osteoporosis</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Osteoporosis, defined as reduced bone mineral density (BMD), deteriorated bone microarchitecture, and reduced bone strength, is a major contributor to hip fractures and vertebral fractures which are often referred to as osteoporosis fractures (<xref ref-type="bibr" rid="B9">Compston et al., 2019</xref>). Osteoporosis fractures are one of the most common causes of disability (<xref ref-type="bibr" rid="B11">Cummings and Melton, 2002</xref>). Notably, women after menopause are at increased risk of osteoporosis fracture. Approximately 50% of women will have at least one fracture after the age of 50&#xa0;years (<xref ref-type="bibr" rid="B16">Jones et al., 1994</xref>).</p>
<p>Receptor activator kappa-B ligand (RANKL) is essential for the formation, function, and survival of osteoclasts (<xref ref-type="bibr" rid="B6">Boyle et al., 2003</xref>). By binding to its receptor RANK on the surface of osteoclasts and osteoclast precursors, it can result in an increase in bone resorption through the final differentiation and activation of osteoclasts.</p>
<p>Denosumab (Prolia&#xae;) is a fully human monoclonal antibody (IgG<sub>2</sub>) against RANKL preventing the combination of RANKL and RANK(<xref ref-type="bibr" rid="B12">Cummings et al., 2009</xref>). It has been proved that denosumab reduced bone resorption and increased BMD, which are associated with a significant reduction in the risk of osteoporosis fractures in postmenopausal women (<xref ref-type="bibr" rid="B12">Cummings et al., 2009</xref>; <xref ref-type="bibr" rid="B23">Papapoulos et al., 2012</xref>; <xref ref-type="bibr" rid="B4">Bone et al., 2013</xref>; <xref ref-type="bibr" rid="B22">Nakamura et al., 2014</xref>; <xref ref-type="bibr" rid="B5">Bone et al., 2017</xref>).</p>
<p>LY06006, a recombinant humanized monoclonal antibody against RANKL, was a potential biosimilar to denosumab. A high degree of similarity between LY06006 and Prolia&#xae; has been observed in bioactivity, pharmacokinetics, pharmacodynamics and pharmacotoxicity in preclinical studies (data not published).</p>
<p>This phase 1 study was conducted to explore the safety, tolerance, pharmacokinetics, pharmacodynamics and immunogenicity of LY06006 when administrated subcutaneously in healthy adults.</p>
</sec>
<sec id="s2">
<title>Subjects and Methods</title>
<sec id="s2-1">
<title>Study Design</title>
<p>This was a randomized, double-blinded, placebo-controlled, single ascending dose study in 32 healthy Chinese adults at phase I department, Peking University People&#x2019;s Hospital (China). The study was conducted in compliance with the Declaration of Helsinki, Guideline for Good Clinical Practice, and was approved by the Ethics Committee of Peking University People&#x2019;s Hospital (No. 2017PHA-090-01). Written informed consent was obtained from each subject before the initiation of the investigation. The study was registered at the Chinese Clinical Trials Registry (registration number: CTR 20171459).</p>
<p>Pharmaceutical and pre-clinical studies showed that the no observed adverse effect level (NOAEL) of LY06006 in the toxicological study of multiple administration in cynomolgus monkeys is 10&#xa0;mg/kg. In the light of the guidelines issued by FDA, the calculated initial dose should not exceed 19.2&#xa0;mg based on the mean weight of 60&#xa0;kg of healthy adults (<xref ref-type="bibr" rid="B15">FDA, 2005</xref>). Therefore, we set the initial dose as 18&#xa0;mg. According to the clinical recommendation dosage and previous clinical studies of Prolia<sup>&#xae;</sup> in healthy adults, three groups were set with the dose of 18&#xa0;mg, 60&#xa0;mg, and 120&#xa0;mg, respectively (<xref ref-type="bibr" rid="B21">Mcclung et al., 2006</xref>; <xref ref-type="bibr" rid="B3">Bekker et al., 2004</xref>; <xref ref-type="bibr" rid="B19">Kumagai et al., 2011</xref>; <xref ref-type="bibr" rid="B8">Chen et al., 2018</xref>).</p>
<p>Subjects were randomly assigned (3:1) to LY06006 or placebo in each group. Only after tolerance evaluation on day 56 of the lower dose group was completed and safety and tolerance were confirmed, the next dose group could be carried out. All subjects were not allowed to be given calcium and Vitamin D supplements throughout the study period. Such preparations could be used as appropriate only after the occurrence of serum calcium reduction (&#x3c;2.0&#xa0;mmol/L) with relevant clinical symptoms.</p>
<p>Screening occurred 30 days before dosing. Eligible subjects received a single abdominal subcutaneous injection of the investigational product or placebo on day 0 (D0) and a sequent 4-days hospitalization for observation. Subjects were discharged on day 4. After that, a follow-up period continued during which subjects returned to the hospital for safety evaluations and blood sampling for pharmacokinetics (PK), pharmacodynamics (PD), and immunogenicity assessments. Subjects in 18, 60, and 120&#xa0;mg groups were followed for 4&#xa0;months (D140), 6&#xa0;months (D196), and 9&#xa0;months (D252), respectively.</p>
</sec>
<sec id="s2-2">
<title>Subjects</title>
<p>Healthy adults aged 18&#x2013;65&#xa0;years with a body mass index of 19.0&#x2013;24.0&#xa0;kg/m<sup>2</sup> were eligible. Exclusion criteria contain: 1) suffered or ongoing osteomyelitis, jaw necrosis, odontopathy, or maxillary disease in an active stage needing oral surgery; 2) administration of any medications that might affect bone turnover (e.g., denosumab, bisphosphonates or fluoride within 12&#xa0;months, estrogens, selective estrogen receptor modulators, parathyroid hormone, systemic glucocorticosteroids, Vitamin D supplements (&#x3e;1000&#xa0;IU/day), anabolic steroids, calcitriol or available analogs, or diuretics within 6 months, and inhaled or topical glucocorticoid within 2&#xa0;weeks); 3)recent bone fracture (within 6&#xa0;months); 4) had acute or chronic infections; 5) hypocalcemia, hypercalcemia, or abnormal serum albumin-adjusted blood calcium levels; 6) history of drug abuse, smoking or alcohol; 7) pregnant or breastfeeding women.</p>
</sec>
<sec id="s2-3">
<title>Safety Assessments</title>
<p>Safety assessment was based on the monitoring of adverse events (AEs) and serious AEs (SAEs) along with routine clinical and laboratory assessment, including physical examination, vital signs, blood tests, urinalysis, and 12-lead electrocardiograms. Safety evaluations were conducted at baseline and regularly throughout the study.</p>
<p>The frequency, severity, and characterization of AEs were continuously recorded using Medical Dictionary for Regulatory Activities (MedDRA version 22.0). AE intensity was graded according to the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) version 4.03.</p>
</sec>
<sec id="s2-4">
<title>Pharmacokinetics Assessments</title>
<p>Blood samples for PK evaluation were collected at 1&#xa0;h preceding the injection, and at 6&#xa0;h (D1), 24&#xa0;h (D2), 72&#xa0;h (D4), 120&#xa0;h (D6), 168&#xa0;h (D8), 216&#xa0;h (D10), 264&#xa0;h (D12), 312&#xa0;h (D14), 480&#xa0;h (D21), 648&#xa0;h (D28), 984&#xa0;h (D42), 1320&#xa0;h (D56), 1656&#xa0;h (D70), 1992&#xa0;h (D84), 2328&#xa0;h (D98), 2664&#xa0;h (D112), 3336&#xa0;h (D140) after dosing in 18&#xa0;mg groups. Blood samples collected at 4008&#xa0;h (D168), 4680&#xa0;h (D196) were added in 60&#xa0;mg group and 4008&#xa0;h (D168), 4680&#xa0;h (D196), 5352&#xa0;h (D224), 6024&#xa0;h (D252) were added in 120&#xa0;mg group.</p>
<p>15&#xa0;min of centrifugation was needed to separate the supernatant serum, and these serum samples were stored at &#x2212;80&#xb0;C before analysis. Serum levels of LY06006 were detected by Electrochemiluminescence assay (ECLA). The lower limit of quantification (LLOQ) was 39.06&#xa0;ng/ml and the quantitative range was 39.06&#x2013;5000&#xa0;ng/ml. Values determined lower than the LLOQ were set to zero.</p>
<p>The pharmacokinetic parameters, the area under the plasma drug concentration-time curve (AUC), the time taken to reach the maximum concentration (T<sub>max</sub>), peak concentrations of drug in serum (C<sub>max</sub>), terminal elimination half-life (t<sub>1/2z</sub>), apparent volume of distribution (V<sub>d</sub>/F) and the apparent clearance (CL<sub>z</sub>/F) were calculated using the plasma concentration-time data collected. The pharmacokinetic properties of LY06006 were assessed based on drug concentrations and basic pharmacokinetic parameters calculated.</p>
</sec>
<sec id="s2-5">
<title>Immunogenicity Assessments</title>
<p>Blood samples were collected at pre-dose (within 1&#xa0;h) and days 14, 28, 42, 56, 84, 140, 196 (only 60 and 120&#xa0;mg groups), and 252 (only 120&#xa0;mg groups) after the end of injection to determine anti-drug antibodies (ADAs) and neutralizing antibodies (NAbs).</p>
<p>Validated bridging ECLA was applied for ADA measurement, and negative control response criteria (NRC) was 70.7 electrochemiluminescence unit. The antibody response criteria (ARC) of low concentration positive control and high concentration positive control were 1.59 and 150.80, respectively. The signal-to-noise ratio (S/N) of the screening cut-point was 1.11, and the confirmatory cut point (CCP) of confirmation results was 10.9%.</p>
</sec>
<sec id="s2-6">
<title>Pharmacodynamics Assessments</title>
<p>The plasma concentrations of C-terminal telopeptide of type I collagen (CTX-1), bone-specific alkaline phosphatase (BALP), and parathyroid hormone (PTH) were reported as pharmacodynamic parameters. Pharmacodynamic blood collection points were the same as the pharmacokinetic blood collection time of the corresponding group.</p>
<p>CTX-1, BALP, and PTH were determined by enzyme-linked immunosorbent assays (ELISA). Plasma levels of PTH were detected by ECLA. The detection method was verified by recording its specificity, quantitative limit (LOQ), goodness-of-fit/linearity, accuracy, and precision (intra-assay and inter-assay). The linear range of CTX-1 and BALP are 0.117&#x2013;2.00 and 7.00&#x2013;90.0&#xa0;ng/ml, respectively. All values less than the LLOQ were reported as the value of LLOQ.</p>
</sec>
<sec id="s2-7">
<title>Statistical Analysis</title>
<p>Statistical significance was set at <italic>p</italic> &#x3c; 0.05 for all tests. Non-compartmental pharmacokinetics analysis for LY06006 was conducted using Phoenix&#xae; WinNonlin&#xae; 7.0 (Certara, Princeton, NJ, USA) and other statistical analyses were analyzed using SAS (Statistical Analysis System; SAS Institute Inc, Cary, NC, United States, version 9.4).</p>
<p>The full analysis set (FAS) included all subjects who were randomly allocated. The safety set (SS) included all subjects who received randomization and study drug, with safety evaluation data. The PK concentration set (PKCS) included all subjects who received the study drug and had &#x2265;1 quantifiable plasma concentration collected after dosing. The PK parameter set (PKPS) included all subjects who received the study drug dose and had &#x2265;1 valid PK parameter. FAS was used for the analysis of the demographic characteristics. SS was used for safety analysis. PKCS was used for the plasma concentration versus time statistics analysis. And PKPS were used for PK parameters analysis.</p>
<p>The plasma concentration versus time statistics was depicted by semi-log concentration-time curves. The mean, standard deviation, coefficient of variation, quartile, maximum, minimum, and geometric mean of PK parameters of each group were calculated. Differences across treatment groups in PK parameters including C<sub>max</sub>, AUC, t<sub>1/2z</sub>, V<sub>d</sub>/F, and CL<sub>z</sub>/F were analyzed using analysis of variance (one-way ANOVA), while T<sub>max</sub> was examined by Kruskal&#x2013;Wallis H test. Meanwhile, all PK parameters except T<sub>max</sub> were log-transformed in statistical analysis. A multiple comparisons test with Bonferroni correction was performed when necessary. Dose-exposure proportionality was assessed using a power model. The assumption was that the logarithm of the PK variable (C<sub>max</sub> and AUC) is linearly related to the logarithm of dose: ln (PK) &#x3d; &#x3b2;<sub>0</sub> &#x2b; &#x3b2;<sub>1</sub> &#x2a;ln (dose). Dose proportionality was established when the 90% CI for the slope &#x3b2;<sub>1</sub> fell completely within the range 0.882&#x2013;1.118 (the criterion interval: 1 &#x2b; [ln (0.80)/ln(r)], 1 &#x2b; [ln (1.25)/ln(r)], r &#x3d; the highest dose/the lowest dose) (<xref ref-type="bibr" rid="B25">Smith et al., 2000</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Demographic Characteristics of the Participants</title>
<p>Between 9 January 2018, and 13 May 2019, of 303 individuals assessed for eligibility, 32 were allocated into three groups (<xref ref-type="fig" rid="F1">Figure 1</xref>). 31 participants completed the trial but one participant received 60&#xa0;mg of study drug did not complete the trial because of pregnancy. Data from the participant who did not complete the study were included in the FAS, SS, PKCS, PKPS, PDOS, PDPS and ADAS. A summary of baseline characteristics is provided in <xref ref-type="table" rid="T1">Table 1</xref>. Baseline characteristics were comparable between each group.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flow chart of the study.</p>
</caption>
<graphic xlink:href="fphar-13-893166-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Demographic characteristics of the participants.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th colspan="4" align="center">Groups, dose (mg)</th>
</tr>
<tr>
<th align="left">Characteristic</th>
<th align="center">18 (<italic>N</italic> &#x3d; 6)</th>
<th align="center">60 (<italic>N</italic> &#x3d; 12)</th>
<th align="center">120 (<italic>N</italic> &#x3d; 6)</th>
<th align="center">Placebo (<italic>N</italic> &#x3d; 8)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="left">Age, years</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="center">30.7 (8.82)</td>
<td align="center">26.4 (4.62)</td>
<td align="center">36.0 (8.29)</td>
<td align="center">28.8 (6.67)</td>
</tr>
<tr>
<td align="left">Range</td>
<td align="center">22&#x2013;43</td>
<td align="center">19&#x2013;37</td>
<td align="center">24&#x2013;44</td>
<td align="center">23&#x2013;44</td>
</tr>
<tr>
<td colspan="5" align="left">Gender, n (%)</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">4 (66.7)</td>
<td align="center">8 (66.7)</td>
<td align="center">2 (33.3)</td>
<td align="center">5 (62.5)</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">2 (33.3)</td>
<td align="center">4 (33.3)</td>
<td align="center">4 (66.7)</td>
<td align="center">3 (37.5)</td>
</tr>
<tr>
<td colspan="5" align="left">Ethnicity, n (%)</td>
</tr>
<tr>
<td align="left">Han</td>
<td align="center">6 (100.0)</td>
<td align="center">11 (91.7)</td>
<td align="center">6 (100.0)</td>
<td align="center">8 (100.0)</td>
</tr>
<tr>
<td align="left">Others</td>
<td align="center">0</td>
<td align="center">1 (8.3)</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td colspan="5" align="left">Occupation, n (%)</td>
</tr>
<tr>
<td align="left">Physical</td>
<td align="center">0</td>
<td align="center">3 (25.0)</td>
<td align="center">1 (16.7)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">Non-physical</td>
<td align="center">6 (100.0)</td>
<td align="center">9 (75.0)</td>
<td align="center">5 (83.3)</td>
<td align="center">7 (87.5)</td>
</tr>
<tr>
<td colspan="5" align="left">Weight, kg</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="center">62.08 (6.722)</td>
<td align="center">62.25 (5.715)</td>
<td align="center">59.65 (6.817)</td>
<td align="center">55.79 (5.896)</td>
</tr>
<tr>
<td colspan="5" align="left">BMI, kg/m<sup>2</sup>
</td>
</tr>
<tr>
<td align="left">Mean (SD)</td>
<td align="center">22.80 (1.083)</td>
<td align="center">21.62 (1.647)</td>
<td align="center">22.30 (0.860)</td>
<td align="center">21.24 (1.328)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SD, standard deviation; BMI, body mass index. The body-mass index is the weight in kilograms divided by the square of the height in meters.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Safety Results</title>
<p>No deaths or drug-related serious adverse events (SAEs) occurred. No adverse events (AEs) led to withdrawal from the trial, except for 1 pregnancy. Subsequent post hoc sensitivity analyses showed that the overall incidence of AEs was not affected before and after removing the pregnancy event.</p>
<p>259 treatment-emergent adverse events (TEAEs) were reported in 24 participants receiving LY06006 and 29 TEAEs were reported in seven participants who received a placebo. All were mild or moderate in intensity and resolved. The overall incidence and classification of TEAEs are summarized in <xref ref-type="table" rid="T2">Table 2</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Summary of adverse events (excluding pregnancy event).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Dose (mg)</th>
<th align="center">18 (<italic>N</italic> &#x3d; 6)</th>
<th align="center">60 (<italic>N</italic> &#x3d; 12)</th>
<th align="center">120 (<italic>N</italic> &#x3d; 6)</th>
<th align="center">Study drug (<italic>N</italic> &#x3d; 24)</th>
<th align="center">Placebo (<italic>N</italic> &#x3d; 8)</th>
</tr>
<tr>
<th align="center">
<italic>n</italic> (%)</th>
<th align="center">
<italic>n</italic> (%)</th>
<th align="center">
<italic>n</italic> (%)</th>
<th align="center">
<italic>n</italic> (%)</th>
<th align="center">
<italic>n</italic> (%)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">TEAEs</td>
<td align="center">6 (100)</td>
<td align="center">12 (100)</td>
<td align="center">6 (100)</td>
<td align="center">24 (100)</td>
<td align="center">7 (87.5)</td>
</tr>
<tr>
<td align="left">Grade1</td>
<td align="center">2 (33.3)</td>
<td align="center">2 (16.7)</td>
<td align="center">2 (33.3)</td>
<td align="center">6 (25.0)</td>
<td align="center">4 (50.0)</td>
</tr>
<tr>
<td align="left">Grade2</td>
<td align="center">2 (33.3)</td>
<td align="center">7 (58.3)</td>
<td align="center">3 (50.0)</td>
<td align="center">12 (50.0)</td>
<td align="center">3 (37.5)</td>
</tr>
<tr>
<td align="left">Grade3</td>
<td align="center">1 (16.7)</td>
<td align="center">1 (8.3)</td>
<td align="center">1 (16.7)</td>
<td align="center">3 (12.5)</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Grade4</td>
<td align="center">1 (16.7)</td>
<td align="center">2 (16.7)</td>
<td align="center">0</td>
<td align="center">3 (12.5)</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">Grade5</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">SAEs</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">0</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The most frequent AEs were elevated serum PTH level (83.3%), hypocalcemia (54.2%), and hypophosphatemia (45.8%). AEs that occurred frequently are listed in <xref ref-type="table" rid="T3">Table 3</xref>.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Common treatment-emergent adverse events.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th colspan="5" align="center">Dose group (mg)</th>
</tr>
<tr>
<th align="left">Teae, n (%)</th>
<th align="center">18 (N &#x3d; 6)</th>
<th align="center">60 (N &#x3d; 12)</th>
<th align="center">120 (N &#x3d; 6)</th>
<th align="center">Study drug (N &#x3d; 24)</th>
<th align="center">Placebo (N &#x3d; 8)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Total</td>
<td align="center">6 (100.0)</td>
<td align="center">12 (100.0)</td>
<td align="center">6 (100.0)</td>
<td align="char" char="(">24 (100.0)</td>
<td align="center">7 (87.5)</td>
</tr>
<tr>
<td colspan="6" align="left">Investigations</td>
</tr>
<tr>
<td align="left">&#x2003;PTH level elevated</td>
<td align="center">5 (83.3)</td>
<td align="center">10 (83.3)</td>
<td align="center">5 (83.3)</td>
<td align="char" char="(">20 (83.3)</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">&#x2003;TBil level elevated</td>
<td align="center">1 (16.7)</td>
<td align="center">3 (25.0)</td>
<td align="center">2 (33.3)</td>
<td align="char" char="(">6 (25.0)</td>
<td align="center">3 (37.5)</td>
</tr>
<tr>
<td align="left">&#x2003;CK level elevated</td>
<td align="center">2 (33.3)</td>
<td align="center">3 (25.0)</td>
<td align="center">1 (16.7)</td>
<td align="char" char="(">6 (25.0)</td>
<td align="center">2 (25.0)</td>
</tr>
<tr>
<td align="left">&#x2003;AST level elevated</td>
<td align="center">2 (33.3)</td>
<td align="center">3 (25.0)</td>
<td align="center">1 (16.7)</td>
<td align="char" char="(">6 (25.0)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;ALT level elevated</td>
<td align="center">2 (33.3)</td>
<td align="center">3 (25.0)</td>
<td align="center">0</td>
<td align="char" char="(">5 (20.8)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;DBil level elevated</td>
<td align="center">0</td>
<td align="center">2 (16.7)</td>
<td align="center">2 (33.3)</td>
<td align="char" char="(">4 (16.7)</td>
<td align="center">2 (25.0)</td>
</tr>
<tr>
<td align="left">&#x2003;White blood cell count decreased</td>
<td align="center">0</td>
<td align="center">3 (25.0)</td>
<td align="center">2 (33.3)</td>
<td align="char" char="(">5 (20.8)</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">&#x2003;Triglyceride level elevated</td>
<td align="center">0</td>
<td align="center">4 (33.3)</td>
<td align="center">0</td>
<td align="char" char="(">4 (16.7)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Glucose level elevated</td>
<td align="center">1 (16.7)</td>
<td align="center">2 (16.7)</td>
<td align="center">1 (16.7)</td>
<td align="char" char="(">4 (16.7)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Neutrophil count decreased</td>
<td align="center">0</td>
<td align="center">3 (25.0)</td>
<td align="center">2 (33.3)</td>
<td align="char" char="(">5 (20.8)</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">&#x2003;Uric acid elevated</td>
<td align="center">0</td>
<td align="center">3 (25.0)</td>
<td align="center">0</td>
<td align="char" char="(">3 (12.5)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;White blood cell count increased</td>
<td align="center">0</td>
<td align="center">2 (16.7)</td>
<td align="center">0 (0)</td>
<td align="char" char="(">2 (8.3)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Red blood cell sedimentation rate increased</td>
<td align="center">1 (16.7)</td>
<td align="center">0</td>
<td align="center">1 (16.7)</td>
<td align="char" char="(">2 (8.3)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Lymphocyte count decreased</td>
<td align="center">0</td>
<td align="center">1 (8.3)</td>
<td align="center">1 (16.7)</td>
<td align="char" char="(">2 (8.3)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;GGT level elevated</td>
<td align="center">0</td>
<td align="center">1 (8.3)</td>
<td align="center">0</td>
<td align="char" char="(">1 (4.2)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Neutrophil count increased</td>
<td align="center">0</td>
<td align="center">1 (8.3)</td>
<td align="center">0</td>
<td align="char" char="(">1 (4.2)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td colspan="6" align="left">Metabolism and nutrition disorders</td>
</tr>
<tr>
<td align="left">&#x2003;Hypocalcemia</td>
<td align="center">4 (66.7)</td>
<td align="center">6 (50.0)</td>
<td align="center">3 (50.0)</td>
<td align="char" char="(">13 (54.2)</td>
<td align="center">2 (25.0)</td>
</tr>
<tr>
<td align="left">&#x2003;Hypophosphatemia</td>
<td align="center">3 (50.0)</td>
<td align="center">6 (50.0)</td>
<td align="center">2 (33.3)</td>
<td align="char" char="(">11 (45.8)</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">&#x2003;Hypercholesterolemia</td>
<td align="center">1 (16.7)</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="char" char="(">1 (4.2)</td>
<td align="center">2 (25.0)</td>
</tr>
<tr>
<td colspan="6" align="left">Infections and infestations</td>
</tr>
<tr>
<td align="left">&#x2003;Upper respiratory tract infection</td>
<td align="center">1 (16.7)</td>
<td align="center">4 (33.3)</td>
<td align="center">1 (16.7)</td>
<td align="char" char="(">6 (25.0)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Pericoronitis</td>
<td align="center">0</td>
<td align="center">3 (25.0)</td>
<td align="center">1 (16.7)</td>
<td align="char" char="(">4 (16.7)</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">&#x2003;Periodontitis</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">1 (16.7)</td>
<td align="char" char="(">1 (4.2)</td>
<td align="center">1 (12.5)</td>
</tr>
<tr>
<td colspan="6" align="left">Gastrointestinal disorders</td>
</tr>
<tr>
<td align="left">&#x2003;Oral ulcer</td>
<td align="center">0</td>
<td align="center">2 (16.7)</td>
<td align="center">1 (16.7)</td>
<td align="char" char="(">3 (12.5)</td>
<td align="center">0</td>
</tr>
<tr>
<td colspan="6" align="left">General disorders and administration site conditions</td>
</tr>
<tr>
<td align="left">&#x2003;Injection site swelling</td>
<td align="center">3 (50.0)</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="char" char="(">3 (12.5)</td>
<td align="center">0</td>
</tr>
<tr>
<td align="left">&#x2003;Injection site erythema</td>
<td align="center">3 (50.0)</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="char" char="(">3 (12.5)</td>
<td align="center">0</td>
</tr>
<tr>
<td colspan="6" align="left">Blood and lymphatic system disorders</td>
</tr>
<tr>
<td align="left">&#x2003;Anemia</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">3 (50.0)</td>
<td align="char" char="(">3 (12.5)</td>
<td align="center">0</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Listed are treatment-emergent adverse events that had been reported in at least 10% of the participants. PTH: parathyroid hormone; TBil: total bilirubin; CK: creatine kinase; AST: aspartate aminotransferase; ALT: alanine aminotransferase; DBil: direct bilirubin; GGT: Gamma-glutamyl transferase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Pharmacokinetic Results</title>
<p>The serum concentration-time profile of LY06006 is displayed in <xref ref-type="fig" rid="F2">Figure 2</xref>.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Mean (SD) serum concentration profile of LY060006 <bold>(A)</bold> Linear scale. <bold>(B)</bold> Semilogarithmic scale.</p>
</caption>
<graphic xlink:href="fphar-13-893166-g002.tif"/>
</fig>
<p>LY06006 was rapidly absorbed with detectable concentrations observed 6&#xa0;h after the dose in all groups. The T<sub>max</sub> was relatively long, with a range of 120&#x2013;480&#xa0;h for all dose groups and serum LY06006 concentrations decreased slowly 11&#x2013;13&#xa0;days after dosing with a long half-life ranging from 168 to 216&#xa0;h. Concentration profiles over time showed a biphasic decline that a slow initial phase characterized by an approximately linear decline in serum concentration followed by a more rapid elimination phase.</p>
<p>Pharmacokinetics parameters from the noncompartmental analysis of LY06006 (<xref ref-type="table" rid="T4">Table 4</xref>) showed that with the dose increased, the exposure to LY06006 increased, which was reflected by both AUC<sub>0&#x2013;t</sub> and C<sub>max</sub>. In addition, the median t<sub>1/2z</sub> of LY06006 was also observed prolonged with the escalation of dose. The mean CL<sub>z</sub>/F decreased from 11.42 to 7.41 from 18 to 120&#xa0;mg. The mean t<sub>1/2z</sub> rose from 343.91 to 470.84 from 18 to 60&#xa0;mg. MRT<sub>0-t</sub> was 692.87&#xa0;h (18&#xa0;mg), 945.38&#xa0;h (60&#xa0;mg) and 1009.91&#xa0;h (120&#xa0;mg).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Pharmacokinetics parameters of single injection of LY06006.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">PK parameters</th>
<th align="center">18&#xa0;mg</th>
<th align="center">60&#xa0;mg</th>
<th align="center">120&#xa0;mg</th>
</tr>
<tr>
<th align="center">(<italic>N</italic> &#x3d; 6)</th>
<th align="center">(<italic>N</italic> &#x3d; 12)</th>
<th align="center">
<italic>(N</italic> &#x3d; 6)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">t<sub>1/2z</sub> (h)</td>
<td align="char" char="(">343.91 (128.30)</td>
<td align="char" char="(">389.58 (63.44)</td>
<td align="char" char="(">470.84 (84.08)</td>
</tr>
<tr>
<td align="left">C<sub>max</sub> (ng/ml)</td>
<td align="char" char="(">1735.00 (599.82)</td>
<td align="char" char="(">6,370.83 (1449.29)</td>
<td align="char" char="(">12,986.67 (2,652.75)</td>
</tr>
<tr>
<td align="left">T<sub>max</sub>(h)</td>
<td align="left">216.00 (120&#x2013;480)</td>
<td align="left">192.00 (120&#x2013;480)</td>
<td align="left">168.00 (120&#x2013;264)</td>
</tr>
<tr>
<td align="left">AUC<sub>0-t</sub> (day&#x002A;ng/mL)</td>
<td align="char" char="(">70,254.66 (25,914.14)</td>
<td align="char" char="(">324,149.75 (92,030.23)</td>
<td align="char" char="(">694,679.00 (147,765.48)</td>
</tr>
<tr>
<td align="left">AUC<sub>0-&#x221e;</sub>(day&#x002A;ng/mL)</td>
<td align="char" char="(">72,305.88 (26,811.83)</td>
<td align="char" char="(">328,125.73 (91,973.46)</td>
<td align="char" char="(">699,802.36 (147,559.97)</td>
</tr>
<tr>
<td align="left">AUC<sub>0-day140</sub> (day&#x002A;ng/mL)</td>
<td align="char" char="(">72,007.48 (26,483.46)</td>
<td align="char" char="(">322,745.11 (88,090.96)</td>
<td align="char" char="(">683,363.50 (140,528.85)</td>
</tr>
<tr>
<td align="left">V<sub>z</sub>/F (ml)</td>
<td align="char" char="(">5272.79 (1677.31)</td>
<td align="char" char="(">4,531.35 (1276.22)</td>
<td align="char" char="(">5119.67 (1731.81)</td>
</tr>
<tr>
<td align="left">CL<sub>z</sub>/F (ml/h)</td>
<td align="char" char="(">11.42 (3.39)</td>
<td align="char" char="(">8.34 (2.88)</td>
<td align="char" char="(">7.41 (1.56)</td>
</tr>
<tr>
<td align="left">MRT<sub>0-t</sub> (h)</td>
<td align="char" char="(">692.87 (173.23)</td>
<td align="char" char="(">945.38 (147.42)</td>
<td align="char" char="(">1009.91 (82.62)</td>
</tr>
<tr>
<td align="left">MRT<sub>0-&#x221e;</sub> (h)</td>
<td align="char" char="(">746.08 (194.76)</td>
<td align="char" char="(">981.25 (143.17)</td>
<td align="char" char="(">1037.17 (76.68)</td>
</tr>
<tr>
<td align="left">AUC<sub>_%Extrap</sub> (%)</td>
<td align="char" char="(">2.78 (1.46)</td>
<td align="char" char="(">1.31 (0.76)</td>
<td align="char" char="(">0.76 (0.44)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are presented as mean (SD); T<sub>max</sub> is reported as the median (range). Note that the symbol &#x201C;&#x002A;&#x201D; represents multiplication.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The dose-proportionality analysis (<xref ref-type="table" rid="T5">Table 5</xref>) found that values of &#x3b2; of C<sub>max</sub> (90% CI: 0.947&#x2013;1.207), AUC<sub>(0-&#x221e;)</sub> (90% CI: 1.070&#x2013;1.374), and AUC<sub>0-day140</sub> (90% CI: 1.063&#x2013;1.361) were partially within the criterion interval 0.882&#x2013;1.118.</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>C<sub>max</sub>, AUC<sub>0-Day140</sub>, AUC<sub>0-&#x221e;</sub>, and dose relationship for single injection of 18&#x2013;120&#xa0;mg LY06006 (based on 90%CI).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameters</th>
<th align="left">Estimate</th>
<th align="center">SE</th>
<th align="center">90%CI</th>
<th align="left">Statistics</th>
<th align="left">
<italic>p</italic> Values</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="6" align="left">C<sub>max</sub> (ng/ml)</td>
</tr>
<tr>
<td align="left">&#x3b2;<sub>0</sub>
</td>
<td align="char" char=".">4.311</td>
<td align="char" char=".">0.304</td>
<td align="char" char="ndash">3.789&#x2013;4.833</td>
<td align="char" char=".">14.176</td>
<td align="char" char=".">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x3b2;<sub>1</sub>
</td>
<td align="char" char=".">1.077</td>
<td align="char" char=".">0.076</td>
<td align="char" char="ndash">0.947&#x2013;1.207</td>
<td align="char" char=".">14.257</td>
<td align="char" char=".">&#x3c;0.001</td>
</tr>
<tr>
<td colspan="6" align="left">AUC<sub>0-&#x221e;</sub> (day&#x002A;ng/mL)</td>
</tr>
<tr>
<td align="left">&#x3b2;<sub>0</sub>
</td>
<td align="char" char=".">7.626</td>
<td align="char" char=".">0.355</td>
<td align="char" char="ndash">7.016&#x2013;8.236</td>
<td align="char" char=".">21.452</td>
<td align="char" char=".">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x3b2;<sub>1</sub>
</td>
<td align="char" char=".">1.222</td>
<td align="char" char=".">0.088</td>
<td align="char" char="ndash">1.070&#x2013;1.374</td>
<td align="char" char=".">13.837</td>
<td align="char" char=".">&#x3c;0.001</td>
</tr>
<tr>
<td colspan="6" align="left">AUC<sub>0-day140</sub> (day&#x002A;ng/mL)</td>
</tr>
<tr>
<td align="left">&#x3b2;<sub>0</sub>
</td>
<td align="char" char=".">7.653</td>
<td align="char" char=".">0.349</td>
<td align="char" char="ndash">7.054&#x2013;8.251</td>
<td align="char" char=".">21.950</td>
<td align="char" char=".">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x3b2;<sub>1</sub>
</td>
<td align="char" char=".">1.212</td>
<td align="char" char=".">0.087</td>
<td align="char" char="ndash">1.063&#x2013;1.361</td>
<td align="char" char=".">13.991</td>
<td align="char" char=".">&#x3c;0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>0.80&#x2013;1.25 Linear range after dose transformation: 0.882&#x2013;1.118. Note that the symbol &#x201C;&#x002A;&#x201D; represents multiplication.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<title>Immunogenicity Results</title>
<p>All participants (32, 100%) had negative ADA test results within 1&#xa0;h before administration. No participants tested positive for anti-drug antibodies after a single subcutaneous injection of LY06006 injection/placebo, and during follow-up.</p>
</sec>
<sec id="s3-5">
<title>Pharmacodynamic Results</title>
<p>After a single subcutaneous injection of 18&#x2013;120&#xa0;mg LY06006 injection in healthy subjects, the serum CTX-1 concentration showed a consistent trend over time (<xref ref-type="fig" rid="F3">Figure 3</xref>). A rapid decrease of serum CTX-1 was observed, which was able to be detected as early as 6&#xa0;h after administration with a decline of 79.05% (4.50), 69.62% (13.70), and 63.55% (12.57) from baseline in 18&#xa0;mg, 60&#xa0;mg, and 120&#xa0;mg group, respectively, while the decline in the placebo group was 53.91% (25.88). The CTX-1 decrease was positively correlated with the dose, based on 18&#xa0;mg LY06006 could maintain the inhibition level to 84&#xa0;days, 60&#xa0;mg to 140&#xa0;days, 120&#xa0;mg to 224&#xa0;days, and then slowly increased. Besides, the serum CTX-1 concentration did not recover to the baseline level during the whole observation period. The mean decline (SD) of the 18&#xa0;mg (D140), 60&#xa0;mg (D196) and 120&#xa0;mg (D252) group was 43.37% (34.25), 58.94% (18.19) and 49.60% (14.69).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Percent change from baseline in serum <bold>(A)</bold> CTX-1 concentration <bold>(B)</bold> BALP concentration.</p>
</caption>
<graphic xlink:href="fphar-13-893166-g003.tif"/>
</fig>
<p>Serum BALP concentration showed a consistent trend over time after a single subcutaneous injection of 18&#x2013;120&#xa0;mg LY06006 in healthy subjects (<xref ref-type="fig" rid="F3">Figure 3</xref>). The mean (SD) maximum BALP inhibition of the 18&#xa0;mg group was 39.93% (8.21) on day 98 after administration, and was maintained until day 140. The mean (SD) inhibition of BALP in the 60&#xa0;mg group reached 41.34% (14.85) on day 84 after administration, and the mean (SD) maximum inhibition reached 43.63% (16.36) on day 140 after administration and remained until day 196. BALP inhibition of the 120&#xa0;mg dose group reached the maximum inhibition level of 31.30% (17.62) on day 140 after administration and could maintain until day 252. BALP concentration did not return to the baseline level during the observation period. The mean (SD) of the 18&#xa0;mg group was 34.25% (10.57) on day 140 and the 60&#xa0;mg group was 41.33% (15.15) on day 196. The 120&#xa0;mg group had a mean (SD) reduction of 21.72% (12.53) from baseline on day 252.</p>
<p>Decreased levels of serum calcium and phosphorus were observed shortly after injection, with the maximum mean decrease observed on day 7 and day 3, respectively (<xref ref-type="fig" rid="F4">Figures 4</xref>, <xref ref-type="fig" rid="F5">5</xref>). Serum PTH increased with the maximum mean increase observed on day 7 (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Percent change from baseline in serum calcium. <bold>(A)</bold> day 0&#x223c;day 252; <bold>(B)</bold> day 0&#x223c;day 28.</p>
</caption>
<graphic xlink:href="fphar-13-893166-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Percent change from baseline in serum phosphorus. <bold>(A)</bold> day 0&#x223c;day 252; <bold>(B)</bold> day 0&#x223c;day 28.</p>
</caption>
<graphic xlink:href="fphar-13-893166-g005.tif"/>
</fig>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Percent change from baseline in serum PTH. <bold>(A)</bold> day 0&#x223c;day 252; <bold>(B)</bold> day 0&#x223c;day 28.</p>
</caption>
<graphic xlink:href="fphar-13-893166-g006.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This study provided the first-in-human data sets of LY06006. In this study, the safety, tolerability, PK, and PD of single subcutaneous administration of LY06006 were assessed in healthy Chinese participants. These results proved LY06006 to be well-tolerated, and no significant safety issues have been identified in this study.</p>
<p>There was no serious adverse event happened and the severity of most AEs is slight (grade 1&#x2013;2). The most common AEs observed, as shown in <xref ref-type="table" rid="T3">Table 3</xref>, were elevated PTH levels (83.3%), hypocalcemia (54.2%), and hypophosphatemia (45.8%), which were consistent with previous studies of denosumab and were also listed in the label of Prolia&#xae;. Such AEs had been reported in the clinical trials of KN012, a biosimilar of Prolia&#xae;, with the incidence of low calcium level and low phosphate level being 80.8 and 61.5%, respectively (<xref ref-type="bibr" rid="B27">Zhang et al., 2021</xref>). Another study also showed similar results that a decline in blood calcium level occurred in 72.8% of healthy adults who were given a biosimilar of denosumab (<xref ref-type="bibr" rid="B28">Zhang H. et al., 2020</xref>). It is noteworthy that participants in our study were required not to take calcium or vitamin D supplements during the study unless serum calcium was reduced to less than 2.0&#xa0;mmol/L and accompanied by clinical signs and symptoms, which could be used after a comprehensive evaluation by the investigator. In addition, none of the participants received calcium or vitamin D supplements throughout the trial. Such instruction was given not only to ensure that hypocalcemia events would not be covered up but also to enable healthy subjects to provide the most sensitive assessment of PK since previous studies showed a potential decrease in serum calcium levels associated with denosumab (<xref ref-type="bibr" rid="B3">Bekker et al., 2004</xref>; <xref ref-type="bibr" rid="B19">Kumagai et al., 2011</xref>; <xref ref-type="bibr" rid="B8">Chen et al., 2018</xref>).</p>
<p>Since bone remodeling is a dynamic process consisting of osteoclast-mediated bone resorption and osteoblast-mediated bone formation, this mechanism allows bones to act as an adequate reservoir of calcium and phosphorus (<xref ref-type="bibr" rid="B29">Zhang N. et al., 2020</xref>). Hence the decreased calcium level could probably be explained that denosumab inhibits bone resorption by binding to RANKL, thus inhibiting the mobilization of stored calcium and phosphate, leading to less bone calcium and phosphorus release, eventually resulting in hypocalcemia and hypophosphatemia (<xref ref-type="bibr" rid="B13">Dempster et al., 2012</xref>). We measured the serum calcium, serum phosphorus, and serum PTH of participants and demonstrated their mean value curves over time. Transient decreases in serum calcium and phosphorus occurred right after LY06006 was administered and slowly return to the baseline level, which is consistent with its antiresorptive effect (<xref ref-type="fig" rid="F4">Figures 4</xref>, <xref ref-type="fig" rid="F5">5</xref>). The serum PTH increased a little later in response to the decrease in serum calcium concentration and reached its peak concentration 7&#xa0;days after injection, which could be considered a functional regulation of PTH and is crucial for calcium homeostasis (<xref ref-type="fig" rid="F6">Figure 6</xref>) (<xref ref-type="bibr" rid="B18">Kraenzlin and Meier, 2011</xref>). Therefore, hypocalcemia may be exacerbated by the use of LY06006 and pre-existing hypocalcemia must be corrected prior to initiating therapy with LY06006. Clinical monitoring of calcium and mineral levels (e.g., phosphorus) is highly recommended within 14&#xa0;days of LY06006 injection. Besides, calcium and vitamin D supplementation should be given when necessary to maintain calcium levels, as listed on the label of Prolia&#xae;(<xref ref-type="bibr" rid="B1">Amgen, 2021</xref>).</p>
<p>The PK properties of denosumab (Prolia&#xae;) in postmenopausal women at different doses (0.01&#x2013;3&#xa0;mg/kg) have been clearly described in previous studies (<xref ref-type="bibr" rid="B3">Bekker et al., 2004</xref>). A long elimination and a more rapid terminal elimination were identified with serum denosumab concentrations being observed decreasing at a faster rate when the serum denosumab concentration was less than approximately 1&#xa0;&#x3bc;g/ml (<xref ref-type="bibr" rid="B3">Bekker et al., 2004</xref>). This nonlinear PK properties of denosumab could be well described by a target-mediated drug disposition model in which target-mediated elimination pathway starts to become saturated with the increase of serum denosumab concentration, leading to the decrease of total clearance (<xref ref-type="bibr" rid="B20">Marathe et al., 2008</xref>; <xref ref-type="bibr" rid="B2">An, 2020</xref>). In the studies of subsequent biosimilars of denosumab, similar PK characteristics were observed (<xref ref-type="bibr" rid="B28">Zhang H. et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Zhang et al., 2021</xref>; <xref ref-type="bibr" rid="B7">Chen et al., 2022</xref>). In our study, the t<sub>1/2</sub> value increased from 14 to 19&#xa0;days with the drug dose increased from 18 to 60&#xa0;mg and the exposure (AUC and C<sub>max</sub>) of 120&#xa0;mg LY06006 was more than twofold of 60&#xa0;mg LY06006. The concentration-time curve (<xref ref-type="fig" rid="F2">Figure 2</xref>) dropped more sharply when serum concentration was below 100&#xa0;ng/ml, which was in accordance with the nonlinear PK of denosumab. The PK parameters in our work, C<sub>max</sub>, AUC<sub>0-&#x221e;</sub>, and AUC<sub>0-day140</sub> were dose-proportioned by the power function model. The 90% CI of &#x3b2;<sub>1</sub> values of C<sub>max</sub>, AUC<sub>0-&#x221e;</sub>, and AUC<sub>0-day140</sub> were 0.947&#x2013;1.207, 1.070&#x2013;1.374, and 1.063&#x2013;1.361, respectively (<xref ref-type="table" rid="T5">Table 5</xref>). The 90% CI of the &#x3b2;<sub>1</sub> values did not completely fall in the range after dose transformation (0.882&#x2013;1.118). However, due to the crossover between the 90% CI of &#x3b2;<sub>1</sub> value and the range, it cannot be concluded whether LY06006 possesses linear or nonlinear pharmacokinetic characteristics in the dose range of 18&#x2013;120&#xa0;mg.</p>
<p>In order to exploratory and analyze the effect of LY0600 on the early clinical stage, bone turnover markers were used as PD indicators instead of fractures and bone mineral density on the basis of existing guidelines (<xref ref-type="bibr" rid="B10">Cosman et al.,</xref>(<xref ref-type="bibr" rid="B10">Cosman et al., 2014</xref>), <xref ref-type="bibr" rid="B17">Kanis et al., 2019</xref>, <xref ref-type="bibr" rid="B24">Qaseem et al., 2017</xref>). The greater the short-term decrease in bone turnover marker levels, the greater the long-term increase in bone mineral density (<xref ref-type="bibr" rid="B14">Eastell and Szulc, 2017</xref>). Besides, lower bone turnover marker level was related to less fracture risk (<xref ref-type="bibr" rid="B26">Vasikaran et al., 2011</xref>).</p>
<p>The PD indicators in our study consisted of CTX-1 (bone resorption marker) and BALP (bone formation marker). There was a rapid and dramatic decrease in CTX-1 which is believed to reflect the activity of osteoclasts (<xref ref-type="fig" rid="F3">Figure 3</xref>). BALP levels remained closed to the baseline for about 28 days until showed an obvious decline. Although the duration of inhibition in CTX-1 and BALP was dose-dependent, the magnitude of inhibition did not show dose-dependent. For example, the maximum mean (SD) inhibition of CTX-1 was 82.48 (2.95)% in the 18&#xa0;mg group, 75.25 (14.41)% in the 60&#xa0;mg group, and 64.90 (14.04) % in the 120&#xa0;mg group. One possible explanation is that the detected CTX-1 levels of many subjects during the follow-up period were less than the LLOQ (0.117&#xa0;ng/ml) and thus reported as the value of LLOQ. This statistical method made the CTX-1 change from baseline correlated with its baseline level in the different dose groups, while the latter was highest in the 18&#xa0;mg group, second in the 60&#xa0;mg group and lowest in the 120&#xa0;mg group. The maximum mean (SD) inhibition of BALP was 39.93 (8.21)% in the 18&#xa0;mg group, 43.63 (16.36)% in the 60&#xa0;mg group, and 31.30 (17.62)% in the 120&#xa0;mg group. The magnitude of changes in serum calcium, serum phosphorus, and serum PTH change did not reflect dose-dependent, and the magnitude difference between dose groups was not significant either.</p>
<p>Combined with data from pre-clinical studies that there was no dose-correlation between serum &#x3b2;-CTX, serum osteocalcin (OST), and serum procollagen I N-terminal peptide (P1NP) at 1, 3, and 10&#xa0;mg/kg of LY06006 in 3-months repeated toxicity tests, these data may indicate that LY06006 has bound with all the hRANKL after injection. In other words, LY06006 may have reached target saturation at the dose of 18&#xa0;mg. Therefore, the PD indicators did not reflect a dose-related magnitude of change, since higher doses may not be related to a more significant effect.</p>
<p>The immunogenicity was analyzed. The overall ADA-positive rates were 0% (0/32) before and after injection, which was consistent with that denosumab demonstrated low immunogenicity in humans (<xref ref-type="bibr" rid="B1">Amgen, 2021</xref>).</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>1Single-dose subcutaneous administration of LY06006 was safe and well-tolerated in healthy Chinese adults. C<sub>max</sub> showed linear pharmacokinetic trend in the dose range of 18&#x2013;120&#xa0;mg but dose-exposure of LY06006 could not be concluded as nonlinear. Serum CTX-1 concentration showed a consistent trend over time, and the maintenance time of CTX-1 inhibition was positively correlated with the dose. The serum BALP concentration exhibited a slow decreasing trend. None of the subjects tested positive for ADA during the trial.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of Peking University People&#x2019;s Hospital. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>YF, HS, XN, QZ, and SG contributed to the design of the study; HF, JL, DG, HL, and HR contributed to the monitoring of the study; LO contributed to the drug testing methodology of the study; QW contributed to the subjects blood drawing; QG and GL contributed to the drug preparation; LX, SW, and WD contributed to the blood samples collection and treatment; SN, MC, DY, and XL contributed to the analysis and interpretation of the results; MC contributed to the manuscript writing. All authors contributed to the manuscript and approved its publication.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study was funded by Shandong Boan Biotechnology Co., Ltd. (Boan Biotech), Yantai city, Shandong province, China. The funder was not involved in the collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>Author LO was employed by the company Beijing United-Power Pharma Tech Co., Ltd. Author SG was employed by the company Shandong Boan Biotechnology Co., Ltd.</p>
<p>The remaining 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="disclaimer" id="s11">
<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>
</sec>
<ack>
<p>The authors would like to extend sincere appreciation to all enrolled subjects, investigators, and people who contributed to this study.</p>
</ack>
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