Literature DB >> 32130202

Impact of age, body weight and metabolic risk factors on steroid reference intervals in men.

Marco Mezzullo1, Guido Di Dalmazi1, Alessia Fazzini1, Margherita Baccini1, Andrea Repaci1, Alessandra Gambineri1, Valentina Vicennati1, Carla Pelusi1, Uberto Pagotto1, Flaminia Fanelli1.   

Abstract

OBJECTIVE: To evaluate the independent impact of age, obesity and metabolic risk factors on 13 circulating steroid levels; to generate reference intervals for adult men.
DESIGN: Cross-sectional study.
METHODS: Three hundred and fifteen adults, drug-free and apparently healthy men underwent clinical and biochemical evaluation. Thirteen steroids were measured by LC-MS/MS and compared among men with increasing BMI. Moreover, the independent impact of age, BMI and metabolic parameters on steroid levels was estimated. Upper and lower reference limits were generated in steroid-specific reference sub-cohorts and compared with dysmetabolic sub-cohorts.
RESULTS: We observed lower steroid precursors and testosterone and increase in estrone levels in men with higher BMI ranges. By multivariate analysis, 17-hydroxyprogesterone and dihydrotestosterone decreased with BMI, while cortisol decreased with waist circumference. Estrone increased with BMI and systolic blood pressure. Testosterone decreased with worsening insulin resistance. 17-hydroxypregnenolone and corticosterone decreased with increasing total/HDL-cholesterol ratio. Age-related reference intervals were estimated for 17-hydroxypregnenolone, DHEA, 17-hydroxyprogesterone, corticosterone, 11-deoxycortisol, cortisol and androstenedione, while age-independent reference intervals were estimated for progesterone, 11-deoxycorticosterone, testosterone, dihydrotestosterone, estrone and estradiol. Testosterone lower limit was 2.29 nmol/L lower (P = 0.007) in insulin resistant vs insulin sensitive men. Furthermore, the upper limits for dihydrotestosterone (-0.34 nmol/L, P = 0.045), cortisol (-87 nmol/L, P = 0.045-0.002) and corticosterone (-10.1 nmol/L, P = 0.048-0.016) were lower in overweight/obese, in abdominal obese and in dyslipidaemic subjects compared to reference sub-cohorts, respectively.
CONCLUSIONS: Obesity and mild unmedicated metabolic risk factors alter the circulating steroid profile and bias the estimation of reference limits for testosterone, dihydrotestosterone, cortisol and corticosterone. Applying age-dependent reference intervals is mandatory for steroid precursors and corticosteroids.

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Year:  2020        PMID: 32130202     DOI: 10.1530/EJE-19-0928

Source DB:  PubMed          Journal:  Eur J Endocrinol        ISSN: 0804-4643            Impact factor:   6.664


  5 in total

1.  [Correlation between total testosterone levels and insulin resistance in patients with acanthosis nigricans and non-acanthosis nigrican].

Authors:  L Zhang; G Li; L Su; L DU; D Zhou; X Cheng; Z Lin; S Qu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2021-12-20

2.  The Age-Dependent Changes of the Human Adrenal Cortical Zones Are Not Congruent.

Authors:  Yuta Tezuka; Nanako Atsumi; Amy R Blinder; Juilee Rege; Thomas J Giordano; William E Rainey; Adina F Turcu
Journal:  J Clin Endocrinol Metab       Date:  2021-04-23       Impact factor: 5.958

3.  Low Progesterone and Low Estradiol Levels Associate With Abdominal Aortic Aneurysms in Men.

Authors:  Claes Ohlsson; Marcus Langenskiöld; Kristian Smidfelt; Matti Poutanen; Henrik Ryberg; Anna-Karin Norlén; Joakim Nordanstig; Göran Bergström; Åsa Tivesten
Journal:  J Clin Endocrinol Metab       Date:  2022-03-24       Impact factor: 5.958

4.  Gender-Specific Independent and Combined Effects of the Progesterone and 17-Hydroxyprogesterone on Metabolic Syndrome: From the Henan Rural Cohort Study.

Authors:  Mian Wang; Luting Nie; Dandan Wei; Pengling Liu; Li Zhang; Keliang Fan; Yu Song; Lulu Wang; Qingqing Xu; Juan Wang; Xiaotian Liu; Linlin Li; Zhenxing Mao; Chongjian Wang; Wenqian Huo
Journal:  Diabetes Metab Syndr Obes       Date:  2021-10-18       Impact factor: 3.168

5.  LCMS Measurement of Steroid Biomarkers Collected from Palmar Sweat.

Authors:  Jacob Hyde; J Ray Runyon
Journal:  ChemRxiv       Date:  2020-09-09
  5 in total

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