Lean mass and associated factors in women with PCOS with different phenotypes
Although current evidence suggests increased risk of obesity, insulin resistance, and metabolic alterations in patients with polycystic ovary syndrome (PCOS), especially of a hyperandrogenic phenotype, the impact of each one of these variables on muscle mass remains uncertain. In this case-control s...
Gespeichert in:
| Veröffentlicht in: | PloS one 2023-10, Vol.18 (10), p.e0292623-e0292623 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | e0292623 |
|---|---|
| container_issue | 10 |
| container_start_page | e0292623 |
| container_title | PloS one |
| container_volume | 18 |
| creator | Fighera, Tayane Muniz dos Santos, Betânia Rodrigues Spritzer, Poli Mara |
| description | Although current evidence suggests increased risk of obesity, insulin resistance, and metabolic alterations in patients with polycystic ovary syndrome (PCOS), especially of a hyperandrogenic phenotype, the impact of each one of these variables on muscle mass remains uncertain. In this case-control study, we evaluated clinical and hormonal characteristics related to lean body mass according to the different PCOS phenotypes. We performed clinical, metabolic, and hormonal assessments and evaluated body compartments by dual-energy X-ray absorptiometry in 133 women of reproductive age. Creatinine served as an indirect marker of lean mass. Median age was 28 (range, 17-37) years. Women with phenotypes A and B (n = 59) had higher body mass index (BMI) and metabolic syndrome prevalence than those with phenotype C (n = 23) and controls (n = 51) (p0.005). Women with phenotypes A and B also had higher Ferriman-Gallwey score (p |
| doi_str_mv | 10.1371/journal.pone.0292623 |
| format | Article |
| fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2873244336</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A767847049</galeid><doaj_id>oai_doaj_org_article_588b3bd06f554235b395f2011d2241ed</doaj_id><sourcerecordid>A767847049</sourcerecordid><originalsourceid>FETCH-LOGICAL-c670t-fd0008f664cfd6cf6e2e415974d26c862644817a9728335c0ebecc3afecb48963</originalsourceid><addsrcrecordid>eNqNkm2L1DAQx4soeJ5-A8GCIPpi1zw1bV_JsfiwsLLiqW9Dmkx2c7TJmqTqfXuzt1Wuci8kkAyT3_wnM5mieIrREtMav77yY3CyXx68gyUiLeGE3ivOcEvJghNE79-yHxaPYrxCqKIN52fFxw1IVw4yxlI6XebTKysT6NJIlXyIpXXlTz9A3m3al59W28uTpa0xEMCl8rAH59P1AeLj4oGRfYQn03lefH339svqw2Kzfb9eXWwWitcoLYxGCDWGc6aM5spwIMBw1dZME64aTjhjDa5lW5OG0koh6EApKg2ojjUtp-fFs5PuofdRTOVHQZqaEsYoPRLrE6G9vBKHYAcZroWXVtw4fNgJGZJVPYiqaTraacRNVTFCq462lSEIY00Iw6Cz1psp29gNoFWuOch-Jjq_cXYvdv6HwKiqaBbJCi8nheC_jxCTGGxU0PfSgR9vHs7yp_EWZ_T5P-jd5U3UTuYKrDM-J1ZHUXFR87phNWJtppZ3UHlpGKzKw2Js9s8CXs0CMpPgV9rJMUaxvvz8_-z225x9cYvdg-zTPvp-TNa7OAfZCVTBxxjA_O0yRuI463-6IY6zLqZZp78BwC3v1Q</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2873244336</pqid></control><display><type>article</type><title>Lean mass and associated factors in women with PCOS with different phenotypes</title><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Fighera, Tayane Muniz ; dos Santos, Betânia Rodrigues ; Spritzer, Poli Mara</creator><contributor>Yanes Cardozo, Licy</contributor><creatorcontrib>Fighera, Tayane Muniz ; dos Santos, Betânia Rodrigues ; Spritzer, Poli Mara ; Yanes Cardozo, Licy</creatorcontrib><description>Although current evidence suggests increased risk of obesity, insulin resistance, and metabolic alterations in patients with polycystic ovary syndrome (PCOS), especially of a hyperandrogenic phenotype, the impact of each one of these variables on muscle mass remains uncertain. In this case-control study, we evaluated clinical and hormonal characteristics related to lean body mass according to the different PCOS phenotypes. We performed clinical, metabolic, and hormonal assessments and evaluated body compartments by dual-energy X-ray absorptiometry in 133 women of reproductive age. Creatinine served as an indirect marker of lean mass. Median age was 28 (range, 17-37) years. Women with phenotypes A and B (n = 59) had higher body mass index (BMI) and metabolic syndrome prevalence than those with phenotype C (n = 23) and controls (n = 51) (p0.005). Women with phenotypes A and B also had higher Ferriman-Gallwey score (p<0.001), insulin levels (p = 0.006), HOMA-IR (p = 0.008), testosterone (p = 0.008), free androgen index (FAI) (p<0.001), fat mass index (FMI) (p = 0.015), android-to-gynoid fat ratio (p = 0.036), and bone mineral density (BMD) at lumbar spine (p = 0.027) and total femur (p = 0.013) than controls. Median appendicular lean mass index (ALMI) was higher in phenotypes A and B than in controls (7.01 [IQR, 6.33-8.02] vs. 6.69 [IQR, 5.94-7.09], p = 0.024), but it did not differ significantly from that in phenotype C (6.60 [IQR, 6.16-7.22], p = 0.222). Even after adjusting for BMI, ALMI correlated positively with creatinine in women with phenotypes A and B (rho = 0.319, p = 0.023) but not in those with phenotype C (p = 0.238) or controls (p = 0.097). In multivariate linear regression analyses, ALMI was positively associated with insulin, FAI, FMI, and total femur BMD. The present results suggest that fasting insulin, FAI, fat mass, and total femur BMD were positively associated with increased lean mass in women with PCOS phenotypes A and B.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0292623</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Age ; Analysis ; Biology and Life Sciences ; Body composition ; Body fat ; Body mass ; Body mass index ; Body size ; Bone mineral density ; Bones ; Causes of ; Cholesterol ; Complications and side effects ; Creatinine ; Density ; Diagnosis ; Dual energy X-ray absorptiometry ; Femur ; Genetic aspects ; Genotype & phenotype ; Immunoassay ; Insulin ; Insulin resistance ; Lean body mass ; Medicine and Health Sciences ; Metabolic disorders ; Metabolic syndrome ; Morphology ; Obesity ; Overweight ; Phenotype ; Phenotypes ; Polycystic ovary syndrome ; Regression analysis ; Risk factors ; Spine ; Spine (lumbar) ; Statistical analysis ; Stein-Leventhal syndrome ; Testosterone ; Ultrasonic imaging ; Variables ; Variance analysis</subject><ispartof>PloS one, 2023-10, Vol.18 (10), p.e0292623-e0292623</ispartof><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Fighera et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Fighera et al 2023 Fighera et al</rights><rights>2023 Fighera et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c670t-fd0008f664cfd6cf6e2e415974d26c862644817a9728335c0ebecc3afecb48963</citedby><cites>FETCH-LOGICAL-c670t-fd0008f664cfd6cf6e2e415974d26c862644817a9728335c0ebecc3afecb48963</cites><orcidid>0000-0002-6734-7688</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553224/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10553224/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids></links><search><contributor>Yanes Cardozo, Licy</contributor><creatorcontrib>Fighera, Tayane Muniz</creatorcontrib><creatorcontrib>dos Santos, Betânia Rodrigues</creatorcontrib><creatorcontrib>Spritzer, Poli Mara</creatorcontrib><title>Lean mass and associated factors in women with PCOS with different phenotypes</title><title>PloS one</title><description>Although current evidence suggests increased risk of obesity, insulin resistance, and metabolic alterations in patients with polycystic ovary syndrome (PCOS), especially of a hyperandrogenic phenotype, the impact of each one of these variables on muscle mass remains uncertain. In this case-control study, we evaluated clinical and hormonal characteristics related to lean body mass according to the different PCOS phenotypes. We performed clinical, metabolic, and hormonal assessments and evaluated body compartments by dual-energy X-ray absorptiometry in 133 women of reproductive age. Creatinine served as an indirect marker of lean mass. Median age was 28 (range, 17-37) years. Women with phenotypes A and B (n = 59) had higher body mass index (BMI) and metabolic syndrome prevalence than those with phenotype C (n = 23) and controls (n = 51) (p0.005). Women with phenotypes A and B also had higher Ferriman-Gallwey score (p<0.001), insulin levels (p = 0.006), HOMA-IR (p = 0.008), testosterone (p = 0.008), free androgen index (FAI) (p<0.001), fat mass index (FMI) (p = 0.015), android-to-gynoid fat ratio (p = 0.036), and bone mineral density (BMD) at lumbar spine (p = 0.027) and total femur (p = 0.013) than controls. Median appendicular lean mass index (ALMI) was higher in phenotypes A and B than in controls (7.01 [IQR, 6.33-8.02] vs. 6.69 [IQR, 5.94-7.09], p = 0.024), but it did not differ significantly from that in phenotype C (6.60 [IQR, 6.16-7.22], p = 0.222). Even after adjusting for BMI, ALMI correlated positively with creatinine in women with phenotypes A and B (rho = 0.319, p = 0.023) but not in those with phenotype C (p = 0.238) or controls (p = 0.097). In multivariate linear regression analyses, ALMI was positively associated with insulin, FAI, FMI, and total femur BMD. The present results suggest that fasting insulin, FAI, fat mass, and total femur BMD were positively associated with increased lean mass in women with PCOS phenotypes A and B.</description><subject>Age</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Body composition</subject><subject>Body fat</subject><subject>Body mass</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Bone mineral density</subject><subject>Bones</subject><subject>Causes of</subject><subject>Cholesterol</subject><subject>Complications and side effects</subject><subject>Creatinine</subject><subject>Density</subject><subject>Diagnosis</subject><subject>Dual energy X-ray absorptiometry</subject><subject>Femur</subject><subject>Genetic aspects</subject><subject>Genotype & phenotype</subject><subject>Immunoassay</subject><subject>Insulin</subject><subject>Insulin resistance</subject><subject>Lean body mass</subject><subject>Medicine and Health Sciences</subject><subject>Metabolic disorders</subject><subject>Metabolic syndrome</subject><subject>Morphology</subject><subject>Obesity</subject><subject>Overweight</subject><subject>Phenotype</subject><subject>Phenotypes</subject><subject>Polycystic ovary syndrome</subject><subject>Regression analysis</subject><subject>Risk factors</subject><subject>Spine</subject><subject>Spine (lumbar)</subject><subject>Statistical analysis</subject><subject>Stein-Leventhal syndrome</subject><subject>Testosterone</subject><subject>Ultrasonic imaging</subject><subject>Variables</subject><subject>Variance analysis</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNkm2L1DAQx4soeJ5-A8GCIPpi1zw1bV_JsfiwsLLiqW9Dmkx2c7TJmqTqfXuzt1Wuci8kkAyT3_wnM5mieIrREtMav77yY3CyXx68gyUiLeGE3ivOcEvJghNE79-yHxaPYrxCqKIN52fFxw1IVw4yxlI6XebTKysT6NJIlXyIpXXlTz9A3m3al59W28uTpa0xEMCl8rAH59P1AeLj4oGRfYQn03lefH339svqw2Kzfb9eXWwWitcoLYxGCDWGc6aM5spwIMBw1dZME64aTjhjDa5lW5OG0koh6EApKg2ojjUtp-fFs5PuofdRTOVHQZqaEsYoPRLrE6G9vBKHYAcZroWXVtw4fNgJGZJVPYiqaTraacRNVTFCq462lSEIY00Iw6Cz1psp29gNoFWuOch-Jjq_cXYvdv6HwKiqaBbJCi8nheC_jxCTGGxU0PfSgR9vHs7yp_EWZ_T5P-jd5U3UTuYKrDM-J1ZHUXFR87phNWJtppZ3UHlpGKzKw2Js9s8CXs0CMpPgV9rJMUaxvvz8_-z225x9cYvdg-zTPvp-TNa7OAfZCVTBxxjA_O0yRuI463-6IY6zLqZZp78BwC3v1Q</recordid><startdate>20231005</startdate><enddate>20231005</enddate><creator>Fighera, Tayane Muniz</creator><creator>dos Santos, Betânia Rodrigues</creator><creator>Spritzer, Poli Mara</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6734-7688</orcidid></search><sort><creationdate>20231005</creationdate><title>Lean mass and associated factors in women with PCOS with different phenotypes</title><author>Fighera, Tayane Muniz ; dos Santos, Betânia Rodrigues ; Spritzer, Poli Mara</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c670t-fd0008f664cfd6cf6e2e415974d26c862644817a9728335c0ebecc3afecb48963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Age</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Body composition</topic><topic>Body fat</topic><topic>Body mass</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Bone mineral density</topic><topic>Bones</topic><topic>Causes of</topic><topic>Cholesterol</topic><topic>Complications and side effects</topic><topic>Creatinine</topic><topic>Density</topic><topic>Diagnosis</topic><topic>Dual energy X-ray absorptiometry</topic><topic>Femur</topic><topic>Genetic aspects</topic><topic>Genotype & phenotype</topic><topic>Immunoassay</topic><topic>Insulin</topic><topic>Insulin resistance</topic><topic>Lean body mass</topic><topic>Medicine and Health Sciences</topic><topic>Metabolic disorders</topic><topic>Metabolic syndrome</topic><topic>Morphology</topic><topic>Obesity</topic><topic>Overweight</topic><topic>Phenotype</topic><topic>Phenotypes</topic><topic>Polycystic ovary syndrome</topic><topic>Regression analysis</topic><topic>Risk factors</topic><topic>Spine</topic><topic>Spine (lumbar)</topic><topic>Statistical analysis</topic><topic>Stein-Leventhal syndrome</topic><topic>Testosterone</topic><topic>Ultrasonic imaging</topic><topic>Variables</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fighera, Tayane Muniz</creatorcontrib><creatorcontrib>dos Santos, Betânia Rodrigues</creatorcontrib><creatorcontrib>Spritzer, Poli Mara</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fighera, Tayane Muniz</au><au>dos Santos, Betânia Rodrigues</au><au>Spritzer, Poli Mara</au><au>Yanes Cardozo, Licy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lean mass and associated factors in women with PCOS with different phenotypes</atitle><jtitle>PloS one</jtitle><date>2023-10-05</date><risdate>2023</risdate><volume>18</volume><issue>10</issue><spage>e0292623</spage><epage>e0292623</epage><pages>e0292623-e0292623</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Although current evidence suggests increased risk of obesity, insulin resistance, and metabolic alterations in patients with polycystic ovary syndrome (PCOS), especially of a hyperandrogenic phenotype, the impact of each one of these variables on muscle mass remains uncertain. In this case-control study, we evaluated clinical and hormonal characteristics related to lean body mass according to the different PCOS phenotypes. We performed clinical, metabolic, and hormonal assessments and evaluated body compartments by dual-energy X-ray absorptiometry in 133 women of reproductive age. Creatinine served as an indirect marker of lean mass. Median age was 28 (range, 17-37) years. Women with phenotypes A and B (n = 59) had higher body mass index (BMI) and metabolic syndrome prevalence than those with phenotype C (n = 23) and controls (n = 51) (p0.005). Women with phenotypes A and B also had higher Ferriman-Gallwey score (p<0.001), insulin levels (p = 0.006), HOMA-IR (p = 0.008), testosterone (p = 0.008), free androgen index (FAI) (p<0.001), fat mass index (FMI) (p = 0.015), android-to-gynoid fat ratio (p = 0.036), and bone mineral density (BMD) at lumbar spine (p = 0.027) and total femur (p = 0.013) than controls. Median appendicular lean mass index (ALMI) was higher in phenotypes A and B than in controls (7.01 [IQR, 6.33-8.02] vs. 6.69 [IQR, 5.94-7.09], p = 0.024), but it did not differ significantly from that in phenotype C (6.60 [IQR, 6.16-7.22], p = 0.222). Even after adjusting for BMI, ALMI correlated positively with creatinine in women with phenotypes A and B (rho = 0.319, p = 0.023) but not in those with phenotype C (p = 0.238) or controls (p = 0.097). In multivariate linear regression analyses, ALMI was positively associated with insulin, FAI, FMI, and total femur BMD. The present results suggest that fasting insulin, FAI, fat mass, and total femur BMD were positively associated with increased lean mass in women with PCOS phenotypes A and B.</abstract><cop>San Francisco</cop><pub>Public Library of Science</pub><doi>10.1371/journal.pone.0292623</doi><tpages>e0292623</tpages><orcidid>https://orcid.org/0000-0002-6734-7688</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1932-6203 |
| ispartof | PloS one, 2023-10, Vol.18 (10), p.e0292623-e0292623 |
| issn | 1932-6203 1932-6203 |
| language | eng |
| recordid | cdi_plos_journals_2873244336 |
| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Public Library of Science (PLoS) Journals Open Access; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Age Analysis Biology and Life Sciences Body composition Body fat Body mass Body mass index Body size Bone mineral density Bones Causes of Cholesterol Complications and side effects Creatinine Density Diagnosis Dual energy X-ray absorptiometry Femur Genetic aspects Genotype & phenotype Immunoassay Insulin Insulin resistance Lean body mass Medicine and Health Sciences Metabolic disorders Metabolic syndrome Morphology Obesity Overweight Phenotype Phenotypes Polycystic ovary syndrome Regression analysis Risk factors Spine Spine (lumbar) Statistical analysis Stein-Leventhal syndrome Testosterone Ultrasonic imaging Variables Variance analysis |
| title | Lean mass and associated factors in women with PCOS with different phenotypes |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T15%3A06%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Lean%20mass%20and%20associated%20factors%20in%20women%20with%20PCOS%20with%20different%20phenotypes&rft.jtitle=PloS%20one&rft.au=Fighera,%20Tayane%20Muniz&rft.date=2023-10-05&rft.volume=18&rft.issue=10&rft.spage=e0292623&rft.epage=e0292623&rft.pages=e0292623-e0292623&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0292623&rft_dat=%3Cgale_plos_%3EA767847049%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2873244336&rft_id=info:pmid/&rft_galeid=A767847049&rft_doaj_id=oai_doaj_org_article_588b3bd06f554235b395f2011d2241ed&rfr_iscdi=true |