Cargando…

The correlation between serum AMH and HOMA-IR among PCOS phenotypes

BACKGROUND: Polycystic ovarian syndrome (PCOS) is known to be one of the most prevalent endocrine disorders affecting reproductive age women. One of the endocrine disorder is hyperinsulinemia, which corresponds with the severity of PCOS. However, the pathogenesis of PCOS is not fully understood, but...

Descripción completa

Detalles Bibliográficos
Autores principales: Wiweko, Budi, Indra, Indra, Susanto, Cynthia, Natadisastra, Muharam, Hestiantoro, Andon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807763/
https://www.ncbi.nlm.nih.gov/pubmed/29426356
http://dx.doi.org/10.1186/s13104-018-3207-y
_version_ 1783299339265769472
author Wiweko, Budi
Indra, Indra
Susanto, Cynthia
Natadisastra, Muharam
Hestiantoro, Andon
author_facet Wiweko, Budi
Indra, Indra
Susanto, Cynthia
Natadisastra, Muharam
Hestiantoro, Andon
author_sort Wiweko, Budi
collection PubMed
description BACKGROUND: Polycystic ovarian syndrome (PCOS) is known to be one of the most prevalent endocrine disorders affecting reproductive age women. One of the endocrine disorder is hyperinsulinemia, which corresponds with the severity of PCOS. However, the pathogenesis of PCOS is not fully understood, but one theory of anti-mullerian hormone (AMH) has been proposed as one of the factor related to the degree of severity of PCOS. However, there are no clear correlation between levels of AMH with the incidence of insulin resistance in PCOS patients especially in Indonesia. METHODS: This is a cross-sectional study involving reproductive age women aged 18–35 years. Subjects were recruited consecutively at Dr. Cipto Mangunkusumo General Hospital between 2011 until 2014. PCOS women diagnosed using 2003 Rotterdam criteria were categorized into four different PCOS phenotypes. Subsequently, serum level of AMH and HOMA-IR was measured and evaluated with correlation tests performed using SPSS 11.0 RESULTS: A total of 125 PCOS patients were included in a study conducted within a 3-year period. Phenotype 1 (anovulation, hyperandrogenism, and polycystic ovaries) shows the highest levels of AMH and HOMA-IR, which decreases in accordance to severity level (p < 0.005). The positive correlation between AMH and HOMA-IR persisted even after adjusting for BMI in multivariate analysis. CONCLUSIONS: There was a positive correlation between serum AMH and HOMA IR levels. Serum AMH and HOMA IR levels were significantly different across the four PCOS phenotypes; with the highest values were present with phenotype 1.
format Online
Article
Text
id pubmed-5807763
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-58077632018-02-15 The correlation between serum AMH and HOMA-IR among PCOS phenotypes Wiweko, Budi Indra, Indra Susanto, Cynthia Natadisastra, Muharam Hestiantoro, Andon BMC Res Notes Research Article BACKGROUND: Polycystic ovarian syndrome (PCOS) is known to be one of the most prevalent endocrine disorders affecting reproductive age women. One of the endocrine disorder is hyperinsulinemia, which corresponds with the severity of PCOS. However, the pathogenesis of PCOS is not fully understood, but one theory of anti-mullerian hormone (AMH) has been proposed as one of the factor related to the degree of severity of PCOS. However, there are no clear correlation between levels of AMH with the incidence of insulin resistance in PCOS patients especially in Indonesia. METHODS: This is a cross-sectional study involving reproductive age women aged 18–35 years. Subjects were recruited consecutively at Dr. Cipto Mangunkusumo General Hospital between 2011 until 2014. PCOS women diagnosed using 2003 Rotterdam criteria were categorized into four different PCOS phenotypes. Subsequently, serum level of AMH and HOMA-IR was measured and evaluated with correlation tests performed using SPSS 11.0 RESULTS: A total of 125 PCOS patients were included in a study conducted within a 3-year period. Phenotype 1 (anovulation, hyperandrogenism, and polycystic ovaries) shows the highest levels of AMH and HOMA-IR, which decreases in accordance to severity level (p < 0.005). The positive correlation between AMH and HOMA-IR persisted even after adjusting for BMI in multivariate analysis. CONCLUSIONS: There was a positive correlation between serum AMH and HOMA IR levels. Serum AMH and HOMA IR levels were significantly different across the four PCOS phenotypes; with the highest values were present with phenotype 1. BioMed Central 2018-02-09 /pmc/articles/PMC5807763/ /pubmed/29426356 http://dx.doi.org/10.1186/s13104-018-3207-y Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Wiweko, Budi
Indra, Indra
Susanto, Cynthia
Natadisastra, Muharam
Hestiantoro, Andon
The correlation between serum AMH and HOMA-IR among PCOS phenotypes
title The correlation between serum AMH and HOMA-IR among PCOS phenotypes
title_full The correlation between serum AMH and HOMA-IR among PCOS phenotypes
title_fullStr The correlation between serum AMH and HOMA-IR among PCOS phenotypes
title_full_unstemmed The correlation between serum AMH and HOMA-IR among PCOS phenotypes
title_short The correlation between serum AMH and HOMA-IR among PCOS phenotypes
title_sort correlation between serum amh and homa-ir among pcos phenotypes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5807763/
https://www.ncbi.nlm.nih.gov/pubmed/29426356
http://dx.doi.org/10.1186/s13104-018-3207-y
work_keys_str_mv AT wiwekobudi thecorrelationbetweenserumamhandhomairamongpcosphenotypes
AT indraindra thecorrelationbetweenserumamhandhomairamongpcosphenotypes
AT susantocynthia thecorrelationbetweenserumamhandhomairamongpcosphenotypes
AT natadisastramuharam thecorrelationbetweenserumamhandhomairamongpcosphenotypes
AT hestiantoroandon thecorrelationbetweenserumamhandhomairamongpcosphenotypes
AT wiwekobudi correlationbetweenserumamhandhomairamongpcosphenotypes
AT indraindra correlationbetweenserumamhandhomairamongpcosphenotypes
AT susantocynthia correlationbetweenserumamhandhomairamongpcosphenotypes
AT natadisastramuharam correlationbetweenserumamhandhomairamongpcosphenotypes
AT hestiantoroandon correlationbetweenserumamhandhomairamongpcosphenotypes