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Huang R, Hong Y, Wu Y, Li W, Liu W. Simultaneous quantification of total and free testosterone in human serum by LC-MS/MS. Anal Bioanal Chem 2023; 415:6851-6861. [PMID: 37747569 DOI: 10.1007/s00216-023-04963-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 08/17/2023] [Accepted: 09/18/2023] [Indexed: 09/26/2023]
Abstract
Testosterone (TTe) and free testosterone (FTe) are clinically important indicators for the diagnosis of androgen disorders, so accurate quantitative determination of them in serum is clinically of paramount significance. Currently, there is no available method suitable for routine and simultaneous measurement of TTe and FTe. Here, we developed a new UPLC-MS/MS method to quantify serum TTe and FTe simultaneously and accurately. Rapid equilibrium dialysis was used to obtain FTe in serum followed by derivatization with hydroxylamine hydrochloride. With these strategies, TTe and FTe could be measured in single injection. After optimizing the extraction and derivatization conditions, the performance of LC-MS/MS was evaluated and applied to quantify the levels of TTe and FTe in clinical samples from 42 patients. The assays were linear for TTe within the range of 0.2-30 ng/mL and for FTe within the range of 1.5-1000 pg/mL. This improved method provided a limit of quantification for TTe of 0.2 ng/mL and for FTe of 1.5 pg/mL. The intra- and inter-run CVs were less than 4.3% and 3.6% for TTe and less than 8.2% and 6.7% for FTe, respectively. The intra- and inter-run accuracies for both TTe and FTe were in the range of 96.1-108.1%. Interference, carryover effect, and matrix effect were in acceptable range. In conclusion, our new LC-MS/MS method is simple to perform and can serve as a reliable method for simultaneous determination of TTe and FTe in clinical practice, providing important information for diagnosis, treatment, and monitoring of androgen-related diseases.
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Affiliation(s)
- Rongmei Huang
- Department of Endocrinology, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Yi Hong
- The Center for Medical Genetics & Molecular Diagnosis, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, 518035, China
| | - Yike Wu
- The Center for Medical Genetics & Molecular Diagnosis, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, 518035, China
| | - Weifeng Li
- Department of Endocrinology, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, China.
- The Center for Medical Genetics & Molecular Diagnosis, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, 518035, China.
| | - Wenlan Liu
- Department of Endocrinology, Shenzhen Clinical Research Center for Metabolic Diseases, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, China.
- The Center for Medical Genetics & Molecular Diagnosis, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University Health Sciences Center, Shenzhen, 518035, China.
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Li X, Zhou Y, Yuan S, Zhou X, Wang L, Sun J, Yu L, Zhu J, Zhang H, Yang N, Dai S, Song P, Larsson SC, Theodoratou E, Zhu Y, Li X. Genetically predicted high IGF-1 levels showed protective effects on COVID-19 susceptibility and hospitalization: a Mendelian randomisation study with data from 60 studies across 25 countries. eLife 2022; 11:e79720. [PMID: 36250974 PMCID: PMC9576268 DOI: 10.7554/elife.79720] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 10/03/2022] [Indexed: 11/29/2022] Open
Abstract
Background Epidemiological studies observed gender differences in COVID-19 outcomes, however, whether sex hormone plays a causal in COVID-19 risk remains unclear. This study aimed to examine associations of sex hormone, sex hormones-binding globulin (SHBG), insulin-like growth factor-1 (IGF-1), and COVID-19 risk. Methods Two-sample Mendelian randomization (TSMR) study was performed to explore the causal associations between testosterone, estrogen, SHBG, IGF-1, and the risk of COVID-19 (susceptibility, hospitalization, and severity) using genome-wide association study (GWAS) summary level data from the COVID-19 Host Genetics Initiative (N=1,348,701). Random-effects inverse variance weighted (IVW) MR approach was used as the primary MR method and the weighted median, MR-Egger, and MR Pleiotropy RESidual Sum and Outlier (MR-PRESSO) test were conducted as sensitivity analyses. Results Higher genetically predicted IGF-1 levels have nominally significant association with reduced risk of COVID-19 susceptibility and hospitalization. For one standard deviation increase in genetically predicted IGF-1 levels, the odds ratio was 0.77 (95% confidence interval [CI], 0.61-0.97, p=0.027) for COVID-19 susceptibility, 0.62 (95% CI: 0.25-0.51, p=0.018) for COVID-19 hospitalization, and 0.85 (95% CI: 0.52-1.38, p=0.513) for COVID-19 severity. There was no evidence that testosterone, estrogen, and SHBG are associated with the risk of COVID-19 susceptibility, hospitalization, and severity in either overall or sex-stratified TSMR analysis. Conclusions Our study indicated that genetically predicted high IGF-1 levels were associated with decrease the risk of COVID-19 susceptibility and hospitalization, but these associations did not survive the Bonferroni correction of multiple testing. Further studies are needed to validate the findings and explore whether IGF-1 could be a potential intervention target to reduce COVID-19 risk. Funding We acknowledge support from NSFC (LR22H260001), CRUK (C31250/A22804), SHLF (Hjärt-Lungfonden, 20210351), VR (Vetenskapsrådet, 2019-00977), and SCI (Cancerfonden).
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Affiliation(s)
- Xinxuan Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Yajing Zhou
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Shuai Yuan
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska InstitutetStockholmSweden
| | - Xuan Zhou
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Lijuan Wang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Jing Sun
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Lili Yu
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Jinghan Zhu
- The Second School of Clinical Medicine, Southern Medical UniversityGuangzhouChina
| | - Han Zhang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Nan Yang
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Shuhui Dai
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Peige Song
- School of Public Health and Women's Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Susanna C Larsson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska InstitutetStockholmSweden
- Unit of Medical Epidemiology, Department of Surgical Sciences, Uppsala UniversityUppsalaSweden
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of EdinburghEdinburghUnited Kingdom
- Cancer Research UK Edinburgh Centre, Medical Research Council Institute of Genetics and Cancer, University of EdinburghEdinburghUnited Kingdom
| | - Yimin Zhu
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
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Zhao X, Liang S, Wang N, Hong T, Sambou M, Fan J, Zhu M, Wang C, Hang D, Jiang Y, Dai J. Sex-Specific Associations of Testosterone and Genetic Factors With Health Span. Front Endocrinol (Lausanne) 2021; 12:773464. [PMID: 34899607 PMCID: PMC8655098 DOI: 10.3389/fendo.2021.773464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 10/26/2021] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Previous studies have suggested associations between testosterone, genetic factors, and a series of complex diseases, but the associations with the lifespan phenotype, such as health span, remain unclear. METHODS In this prospective cohort study, we analyzed 145,481 men and 147,733 women aged 38-73 years old from UK Biobank (UKB) to investigate the sex-specific associations of total testosterone (TT), free testosterone (FT), or polygenic risk score (PRS) with health span termination (HST) risk. At baseline, serum testosterone levels were measured. HST was defined by eight events strongly associated with longevity. PRS, an efficient tool combining the effect of common genetic variants to discriminate genetic risk of complex phenotypes, was constructed by 12 single-nucleotide polymorphisms related to health span from UKB (P ≤ 5.0 × 10-8). We used multivariable Cox regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS With a median follow-up time of 7.70 years, 26,748 (18.39%) men and 18,963 (12.84%) women had HST. TT was negatively associated with HST in men [HR per standard deviation (SD) increment of log-TT: 0.92, 95% CI: 0.88-0.97]. Inversely, both TT (HR per SD increment of log-TT: 1.05, 95% CI: 1.02-1.08) and FT (HR per SD increment of log-FT: 1.08, 95% CI: 1.05-1.11) presented an increased risk of HST in women. PRS was positively associated with HST risk (quintile 5 versus quintile 1, men, HR: 1.19, 95% CI: 1.15-1.24; women, HR: 1.21, 95% CI: 1.16-1.27). Moreover, men with high TT and low genetic risk showed the lowest HST risk (HR: 0.80, 95% CI: 0.73-0.88), whereas HST risk for women with both high TT and genetic risk increased obviously (HR: 1.32, 95% CI: 1.19-1.46). Similar joint effects were observed for FT in both genders. CONCLUSIONS We observed sex-specific associations that testosterone was negatively associated with HST risk in men and positively associated with HST risk in women. Genetic factors increased the HST risk, suggesting that participants with both high genetic risk and abnormal testosterone levels (high level in women or low level in men) should be the target for early intervention. Although our findings highlight the associations between testosterone and health span, further mechanistic studies and prospective trials are warranted to explore the causation behind.
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Affiliation(s)
- Xiaoyu Zhao
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Shuang Liang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Nanxi Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Tongtong Hong
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Muhammed Lamin Sambou
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Jingyi Fan
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Meng Zhu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Dong Hang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Yue Jiang
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Gusu School, Nanjing Medical University, Nanjing, China
- *Correspondence: Juncheng Dai,
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Zhou Z, Li R, Qiao J. Androgen profile in Chinese women with polycystic ovary syndrome in their reproductive years. Reprod Biomed Online 2017; 35:331-339. [DOI: 10.1016/j.rbmo.2017.05.019] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 05/09/2017] [Accepted: 05/25/2017] [Indexed: 11/28/2022]
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Conover CF, Yarrow JF, Garrett TJ, Ye F, Quinlivan EP, Cannady DF, Peterson MD, Borst SE. High Prevalence of Low Serum Biologically Active Testosterone in Older Male Veterans. J Am Med Dir Assoc 2017; 18:366.e17-366.e24. [PMID: 28214238 DOI: 10.1016/j.jamda.2016.12.077] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Revised: 12/16/2016] [Accepted: 12/23/2016] [Indexed: 11/17/2022]
Abstract
OBJECTIVES Assess the prevalence of hypogonadism in older male Veterans by comparing direct measurements of total testosterone (T) and bioavailable testosterone (BioT) versus indirect BioT values derived from existing and newly developed regression analyses. DESIGN Cohort study. SETTING Malcom Randall VA Medical Center, Gainesville, FL. PARTICIPANTS Community-dwelling male Veterans aged 60 and older (n = 203). MEASUREMENTS Total T, BioT, albumin, sex hormone-binding globulin (SHBG), and body mass index were evaluated. Blood values were assessed via liquid chromatography-tandem mass spectrometry (LC-MS/MS) and clinical or commercially available immunoassays to compare accuracy among assessment techniques. Existing and newly developed multiple regression analyses were evaluated to assess accuracy in predicting BioT. RESULTS Total T was 13.80 ± 6.25 nmol/L (398 ± 180 ng/dL) and was low (≤10.4 nmol/L or ≤300 ng/dL) in 34% of participants. SHBG was 58 ± 35 nmol/L and elevated (≥62 nmol/L) in 36% of participants. BioT was 1.94 ± 0.97 nmol/L (56 ± 28 ng/dL), with 72% of participants below the clinical cutoff (≤2.43 nmol/L or ≤70 ng/dL). Albumin was within the normal clinical range. Total T and BioT measured via immunoassay and LC-MS/MS were moderately to highly correlated, with no differences between assessment methods. Several existing predictive equations overestimated BioT by 74% to 166% within our cohort (P < .001). A newly developed regression model that included total T, SHBG, albumin, and age more accurately predicted BioT, with values correlated (r = 0.508, P < .001) and comparable to LC-MS/MS. CONCLUSION In our cohort, the prevalence of low total T was higher and low BioT was markedly higher than reported in the general age-matched population, indicating a greater incidence of hypogonadism in older male Veterans. In addition, existing empiric formulae, derived from other populations produced BioT values that were considerably greater than those directly measured, whereas our newly developed regression analysis provides improved predictive capabilities for older male Veterans.
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Affiliation(s)
- Christine F Conover
- Research Service, North Florida/South Georgia Veterans Health System, Gainesville, FL.
| | - Joshua F Yarrow
- Research Service, North Florida/South Georgia Veterans Health System, Gainesville, FL
| | - Timothy J Garrett
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Fan Ye
- North Florida Foundation for Research and Education, University of Florida, Gainesville, FL
| | - Eoin P Quinlivan
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL
| | - Darryl F Cannady
- Research Service, North Florida/South Georgia Veterans Health System, Gainesville, FL
| | - Mark D Peterson
- Department of Physical Medicine and Rehabilitation, University of Michigan School of Medicine, Ann Arbor, MI
| | - Stephen E Borst
- Geriatrics Research, Education, and Clinical Center, North Florida/South Georgia Veterans Health System, Gainesville, FL; Department of Applied Physiology & Kinesiology, University of Florida, Gainesville, FL
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Cho J, Holditch-Davis D. Effects of perinatal testosterone on infant health, mother-infant interactions, and infant development. Biol Res Nurs 2013; 16:228-36. [PMID: 23639953 DOI: 10.1177/1099800413486340] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Many researchers and health care providers have noticed male vulnerability in infant health, mother-infant interactions, and some infant cognitive development, especially among very low birth weight (VLBW) preterm infants. However, factors beyond gender that could explain these observed differences have not been clear. The purpose of this article is to review the literature on the subject and to introduce a conceptual framework relating these factors. DISCUSSION According to gender-difference theories, prenatal exposure to high levels of testosterone may influence infant health and mother-infant interactions by negatively affecting infant cognitive/motor/language development. We constructed a conceptual framework based on the associations among biological (perinatal testosterone), stress-related (perinatal and maternal cortisol), and developmental (infant cognitive/motor/language skills) factors. If research establishes these biological, environmental, and developmental associations in mother-VLBW preterm pairs, the results will highlight the importance of addressing gender differences in nursing research and encourage the development of nursing interventions designed to reduce stress among mothers of VLBW preterm infants, particularly male infants. CONCLUSION From a psychobiosocial perspective, combining biophysiological factors such as perinatal testosterone and cortisol with socioenvironmental factors such as the quality of mother-infant interactions and infant temperament may provide a broader view of gender differences in infant health and development.
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Affiliation(s)
- June Cho
- 1School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA
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Giton F, Guéchot J, Fiet J. Comparative determinations of non SHBG-bound serum testosterone, using ammonium sulfate precipitation, Concanavalin A binding or calculation in men. Steroids 2012; 77:1306-11. [PMID: 22542501 DOI: 10.1016/j.steroids.2012.04.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2012] [Revised: 03/29/2012] [Accepted: 04/06/2012] [Indexed: 11/30/2022]
Abstract
BACKGROUND Testosterone (T) circulates tightly bound to sex hormone-binding globulin (SHBG) and weakly to albumin. Non-SHBG-bound T is considered as the bioavailable T (BT) and was recommended for the evaluation of androgen disorders. Two methods, BT calculating from T, SHBG and albumin or BT measurement using ammonium sulfate precipitation of [SHBG-T] complex have been widely used. Using SHBG separation with Concanavalin-A (ConA) was recently proposed as a more specific method. The aim of this work was to compare these three methods in male patients. METHODS Serum samples of 131 consecutive untreated men (15-81 years) referred for suspicion of hypogonadism were collected. Total T was measured by GC-MS, SHBG by immunoradiometric assay. Level of BT was assayed using ammonium sulfate precipitation, ConA separation and calculated using the Issam web calculator. RESULTS Only few differences were found between ammonium sulfate or ConA BT measurements. However, we found much higher serum calculated BT than assayed BT with an increasing bias when BT levels increased. CONCLUSIONS Measurement of BT using ConA separation could be recommended. The results are equivalent to those obtained using ammonium sulfate precipitation. This method eliminates the possible non specific albumin precipitation that can occur with ammonium sulfate when the assay conditions are not rigorously controlled.
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Affiliation(s)
- Frank Giton
- AP-HP, Hôpital H. Mondor - A.Chenevier, Pôle Biologie, Centre d'investigation Biologique 006, Créteil 94000, France
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Zhou Z, Ni R, Hong Y, Li Y, Wang Y, Zhao X, Yang D. Defining hyperandrogenaemia according to the free androgen index in Chinese women: a cross-sectional study. Clin Endocrinol (Oxf) 2012; 77:446-52. [PMID: 22443308 DOI: 10.1111/j.1365-2265.2012.04395.x] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVE(S) To determine the normative cut-off value for the free androgen index (FAI) among reproductive-age women in China. DESIGN Cross-sectional, population-based study. SETTING A multistage systematic cluster random sampling among 16 communities from two rural and two city regions. PATIENT(S) A total of 1526 women were randomly selected from a representative sample of 3009 women aged 20-45 years from the general population of southern China. Among these women, 444 subjects without known factors affecting androgen levels were selected as the reference group. INTERVENTION(S) Subjects underwent physical examination, blood tests of hormone and metabolic profiles, and ultrasound evaluations. MEASUREMENT OF THE MAIN OUTCOMES: The FAI was calculated according to the following equation: FAI = 100 × total testosterone (nmol/l)/sex hormone-binding globulin (nmol/l). The normative cut-off value of the FAI was computed based on the 5th-95th percentiles and K-means cluster analysis (K = 2). RESULTS A reference range of 0·7-6·4 of the FAI was indicated by the 5th and 95th percentiles. K-means cluster analysis identified 6·1 as the cut-off value for the FAI in the total population, which was close to the upper limit determined by the 95th percentile. Hyperandrogenic women present with elevated risk factors for metabolic disorders. The mean FAI values decreased with age among the total population, as evaluated by either K-means clustering or a percentile analysis. The FAI value was negatively correlated with age (r = -0·185, P < 0·0001) and positively correlated with body mass index after adjustment for age (r = 0·250, P < 0·0001). CONCLUSION A reference range of 0·7-6·4 FAI was indicated by the 5th and 95th percentiles among the reference group, which excluded the subjects with factors known to affect androgen levels; 6·1 was identified by the K-means cluster analysis as the cut-off value of the FAI for the general population. Hyperandrogenic women present with higher risks for metabolic disorders.
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Affiliation(s)
- Zehong Zhou
- Department of Obstetrics and Gynecology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
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McFadden MJ, Junop MS, Brennan JD. Magnetic “Fishing” Assay To Screen Small-Molecule Mixtures for Modulators of Protein−Protein Interactions. Anal Chem 2010; 82:9850-7. [PMID: 21067198 DOI: 10.1021/ac102164d] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Affiliation(s)
- Meghan J. McFadden
- Chemical Biology Graduate Program, Department of Chemistry and Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4M1, and Department of Biochemistry and Biomedical Engineering, McMaster University, 1200 Main Street West, Hamilton, Ontario L8N 3Z5, Canada
| | - Murray S. Junop
- Chemical Biology Graduate Program, Department of Chemistry and Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4M1, and Department of Biochemistry and Biomedical Engineering, McMaster University, 1200 Main Street West, Hamilton, Ontario L8N 3Z5, Canada
| | - John D. Brennan
- Chemical Biology Graduate Program, Department of Chemistry and Chemical Biology, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4M1, and Department of Biochemistry and Biomedical Engineering, McMaster University, 1200 Main Street West, Hamilton, Ontario L8N 3Z5, Canada
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