Literature DB >> 33553553

Correlation of age and sex with urine dehydroepiandrosterone sulfate level in healthy Thai volunteers.

Karnpimon Krorakai1, Siriporn Tontipattananon1, Rattikorn Leemahanil1, Supannika Klangphukhiew1, Chathaya Wongrathanandha2, Akarin Phaibulpanich3, Rina Patramanon1,4.   

Abstract

OBJECTIVE: Dehydroepiandrosterone sulfate (DHEAs), a prohormone secreted by the adrenal gland, plays a role in the synthesis of sex hormones, namely, androgen and estrogen. It has been found that the amount of DHEAs is correlated with age, although most studies have focused on the correlation of serum DHEAs levels with age and sex. Thus, this noninvasive, cross-sectional study aimed to investigate the correlation of urine DHEAs levels with age and sex in healthy Thai volunteers aged 20-80 years.
METHODS: DHEAs levels were measured in 178 healthy volunteers using electrochemiluminescence immunoassay and then normalized by creatinine. Multiple regression was performed to determine the correlation of urine DHEAs levels normalized by creatinine with age and sex.
RESULTS: The normalized DHEAs levels are correlated with age group for both sexes. Moreover, an increasing trend in DHEAs levels was found in the age group 20-29 years, and the DHEAs level peaked at the age group 30-39 years before declining with advancing age. Based on the multiple regression analyses, the significance of the interaction term (P ​< ​0.05) indicates that both age and sex significantly contribute to the prediction of ln (DHEAs/Creatinine). Our fitted model implies the following: as age increases by 1 year, DHEAs/Creatinine is expected to decrease by 3.63% in females and by 2.18% in males.
CONCLUSION: This study reports more data on clinical reference value of urine DHEAs levels in healthy volunteers. Our result demonstrates urine DHEAs levels are associated with age and sex and decline by 2-3% a year.
© 2021 The Author(s).

Entities:  

Keywords:  Age; Dehydroepiandrosterone sulfate; Sex; Urine

Year:  2021        PMID: 33553553      PMCID: PMC7848761          DOI: 10.1016/j.plabm.2021.e00204

Source DB:  PubMed          Journal:  Pract Lab Med        ISSN: 2352-5517


Introduction

The prohormone dehydroepiandrosterone (DHEA) and its sulfate conjugate (DHEAs) are mainly produced by the adrenal glands and are the most abundant circulating steroid hormones in humans. This prohormone serves as an initial substance in the synthesis of sex steroid hormones, namely, androgens and estrogens [1]. DHEAs has been thought to be a biomarker of aging because its serum level peaks in young adulthood and significantly decreases with aging (2%–3% per year) [[2], [3], [4]]. Recently, DHEAs have attracted considerable attention because the decline in serum DHEAs levels with advancing age is related to age-related diseases or with the deterioration of physiological functions [5] such as cognitive function [6], depression [7], cardiovascular disease [8], osteoporosis [9], and cancer [10]. In addition, DHEAs is often known as the “fountain of youth” [11]. Some publications have reported that DHEA supplementation could prevent or ameliorate age-related physical and memory impairment as well as improve one’s well-being [[12], [13], [14], [15]]. The most relevant researches have investigated the correlation of serum DHEAs levels with age and sex and presented for use as a clinical reference value. These studies have reported the remarkable changes in serum DHEAs levels throughout one’s lifetime. After birth, DHEAs levels decrease dramatically and remain considerably low until the age of 6 years, and then increase continuously during adrenarche because the cells in the zona reticularis start to divide in preparation for the reproductive age [16,17]. In adulthood, the DHEAs levels peak at the age of 17–19 years in females and at the age of 20–29 years in males and then progressively decline with aging [18]. These studies thus demonstrated a negative correlation between serum DHEAs concentration and age (20–80 years old) in both sexes. Moreover, DHEAs levels were higher in males than in females in all age groups [3,19,18]. Although some studies have shown that serum DHEAs concentrations were positively correlated with urine DHEAs excretion [20,21], a few studies have reported on the correlation of urine DHEAs levels with age and sex, particularly with a specific age group [[21], [22], [23]]. Moreover, the correlation of age and sex with urine DHEAs levels has not yet been investigated in any non-western populations. Thus, to fill this research gap, this work investigates the DHEAs levels in urine samples of healthy Thai volunteers aged 20–80 years and determine their correlation with age and sex. This study may serve as a baseline study for future studies in this field.

Subjects and methods

Research design

This work is an observational study, and clinical information were collected from healthy volunteers and from those who have had a health checkup at the Department of Family Medicine and at the Health Checkup Center for Going Abroad, Faculty of Medicine Ramathibodi Hospital, Mahidol University, in Bangkok, Thailand. The data collected were presented according to age and sex as described by Ryun-Sup Ahn and co-authors [24].

Eligibility criteria

The inclusion criteria include: 1) at least 20 years old; 2) non-smoker for a year; 3) non-drinker for three months; 4) did not take any medicine or supplement for a week; 5) with a body mass index of 18.0–26.9; 6) when aged 35 years and above, the volunteers’ clinical parameters must fall within the reference values (Table 1), which were adopted from Park and co-worker [25], although having all of the listed parameters checked is not necessary; and 7) free of the following chronic diseases: diabetes mellitus, hypertension, hypotension, renal disease, liver disease, cardiovascular diseases, hypercholesterolemia, cancer, osteoporosis, scleroderma, Huntington’s disease, chronic obstructive pulmonary disease, asthma, neurodegenerative disease, and Alzheimer’s disease. Participants will be excluded if they withdraw from the study.
Table 1

Clinical parameters used as inclusion criteria for participants aged 35 years and above.

ListClinical parametersUnitReference value
1Body mass index (BMI)kg/m218.0–26.9
2Blood pressure (BP)
Systolic blood pressure (SBP)mmHg<159
Diastolic blood pressure (DBP)mmHg<99
3Heart rate (HR)/min40–140
4Complete blood count (CBC)
Hemoglobin (Hb)g/dL13.0–17.9
Hematocrit (Hct)%37–52
White blood cell (WBC) count/mm33700–10,000
Neutrophil percentage (PMN)%35–80
Lymphocyte percentage (Lym)%20–50
Monocyte percentage (Mono)%2–9
Eosinophil percentage (Eo)%0–9
Platelet smearAdequate
Platelet count/mm3138,000–400,000
Red blood cell morphologyNormochromic Normocytic
5Fasting blood sugar (FBS)mg/dl70–125
6Uric acidmg/dl<8.0
7Renal function test (RFT)
Blood urea nitrogen (BUN)mg/dl5–29
Creatinine (Cr)mg/dl0.5–1.4
8Liver function test (LFT)
Serum glutamate oxaloacetate transaminase (SGOT)U/L<60
Serum glutamate pyrophosphate transaminase (SGPT)U/L<60
Alkaline phosphatase (ALP)U/L<200
Albumin (Alb)g/dl≥30
9Lipid profile (LP)
Cholesterol (CHO)mg/dl<260
Triglyceride (TG)mg/dl<300
Low density lipoprotein (LDL)mg/dl<190
High density lipoprotein (HDL)mg/dl>30
Clinical parameters used as inclusion criteria for participants aged 35 years and above. This study was approved by the Ethical Committee of the Faculty of Medicine Ramathibodi Hospital, Mahidol University. All subjects gave their written informed consent.

Urine sample collection and analysis

Urine samples of the healthy volunteers were collected in plastic bottles, aliquoted in 2 ​mL Eppendorf tube, and stored at −20 ​°C. The amount of urine DHEAs was normalized by creatinine to account for the variations in urine concentration [26]. DHEAs concentrations were measured by electrochemiluminescence immunoassay on the Roche Cobas e601 (Roche Diagnostics, Switzerland), and creatinine was determined by enzymatic assay using an Architect Ci16200 (Abbott, USA).

Statistical analysis

A descriptive method was used to describe the frequency, median, and interquartile range (IQR) for each of the age groups and genders. Calculations and analyses were performed using SPSS for Windows (version 22.0, SPSS, Inc., Chicago). Multiple regression was used to assess the correlation of urine DHEAs levels normalized by creatinine with age and sex as explanatory variables. P-values < 0.05 were considered statistically significant.

Results

Descriptive summary

Of 227 volunteers who agreed to participate in this study, 178 met the inclusion criteria. Among them, 58 (32.58%) were male and 120 (61.2%) were female. The volunteers were then divided into five age groups: 20–29, 30–39, 40–49, 50–59 and ​≥60. For participants 35 years old and above, all had got BMI, BP, HR and RFT checked (Table 2). Regarding individual parameters, CBC and LP were tested in most of the subjects. There were less subjects who had LFT and Uric acid results, and only one had FBS tested. For multiple parameters tested in each subject, 76.3% had BMI, BP, HR, CBC and RFT tested and 59.0% had BMI, BP, HR, CBC, RFT and LP tested. There was no subjects with complete results of the clinical parameters.
Table 2

Clinical parameters for volunteers 35 years old and above.

Clinical parameters
Volunteers≥35 (n ​= ​139)
Female (n ​= ​99)
Male (n ​= ​40)
Total (%)
Individual parameters checked
BMI9940139 (100)
BP9940139 (100)
HR9940139 (100)
CBC7333106 (76.3)
RFT9940139 (100)
LFT432063 (45.3)
LP8429113 (81.3)
Uric acid19928 (20.1)
FBS011 (0.7)
Multiple parameters checked
BMI ​+ ​BP ​+ ​HR ​+ ​CBC ​+ ​RFT7333106 (76.3)
BMI ​+ ​BP ​+ ​HR ​+ ​CBC ​+ ​RFT ​+ ​LP602282 (59.0)
BMI ​+ ​BP ​+ ​HR ​+ ​CBC ​+ ​RFT ​+ ​LP ​+ ​LFT301444 (31.7)
BMI ​+ ​BP ​+ ​HR ​+ ​CBC ​+ ​RFT ​+ ​LP ​+ ​LFT ​+ ​Uric acid10717 (12.2)
BMI ​+ ​BP ​+ ​HR ​+ ​CBC ​+ ​RFT ​+ ​LP ​+ ​LFT ​+ ​Uric acid ​+ ​FBS000 (0)
Clinical parameters for volunteers 35 years old and above. Table 3 and Fig. 1 show the normalized DHEAs levels in urine samples of the male and female volunteers. The normalized DHEAs levels apparently correlated with age group for both sexes. Moreover, the DHEAs levels showed an increasing trend in the age group 20–29 years, peaked in the age group 30–39 years, and then decreased with advancing age. However, outliers were found in the data.
Table 3

DHEAs and DHEAs/Creatinine levels in the male and female populations clustered into age groups.

Age groupMale (n ​= ​58)
Female (n ​= ​120)
P-valueaP-valueb
nDHEAs (ng/mL)DHEAs/CreatinineNDHEAs (ng/mL)DHEAs/Creatinine
20–29111498.00 (2183.0)0.0051 (0.0038)91632.00 (3532.2)0.0039 (0.0060)1.0000.370
30–39131819.10 (2921.4)0.0050 (0.0085)242015.50 (5224.0)0.0043 (0.0061)0.5700.904
40–4981081.05 (1978.0)0.0028 (0.00433)281736.50 (4484.8)0.0034 (0.0034)0.2290.688
50–59131830.00 (1950.0)0.0036 (0.0028)25889.00 (1286.0)0.0017 (0.0015)0.4940.040c
≥60131555.00 (1068.5)0.0016 (0.0016)34571.50 (622.8)0.0012 (0.0001)0.041c0.928

Data represent the median (IQR).

P-value for testing equality of median DHEAs between male and female groups.

P-value for testing equality of median DHEAs/Creatinine between male and female groups.

P-values < 0.05.

Fig. 1

Box plots of the DHEAs/Creatinine in urine samples of the male and female volunteers clustered into age groups. The box extends from the 25th percentile to the 75th percentile, with a horizontal line at the 50th percentile (median).

DHEAs and DHEAs/Creatinine levels in the male and female populations clustered into age groups. Data represent the median (IQR). P-value for testing equality of median DHEAs between male and female groups. P-value for testing equality of median DHEAs/Creatinine between male and female groups. P-values < 0.05. Box plots of the DHEAs/Creatinine in urine samples of the male and female volunteers clustered into age groups. The box extends from the 25th percentile to the 75th percentile, with a horizontal line at the 50th percentile (median). Due to the small sample sizes and the non-normal nature of the data, nonparametric test on equality of median was chosen to compare median urine DHEAs and DHEAs/Creatinine between the two genders. The result shows that the median urine DHEAs and DHEAs/Creatinine between male and female groups are not significantly different for age groups 20–29, 30–39, and 40–49, while the significant difference in urine DHEAs/Creatinine is being shown in the age groups 50–59 and the significant difference in urine DHEAs is being shown in the age groups >60.

Correlation of DHEAs/Creatinine levels with age and sex

A multiple regression was performed to determine the correlation of the urine DHEAs levels normalized by creatinine (the independent or the response variable) with the two predictor variables: sex (using dummy variables coded as 1 for female and 0 for male) and age. Fig. 2(A) and (B) show the histograms of DHEAs/Creatinine and ln (DHEAs/Creatinine) in urine samples (ng/mL), respectively, for each sex. The histograms for DHEAs/Creatinine show highly positively skewed for both the males and females with a few outliers. The Shapiro-Wilk tests were also performed to assess the normality of DHEAs/Creatinine. The result (P-value ​< ​0.001) confirms that DHEAs/Creatinine significantly deviate from a normal distribution for both genders. Therefore, the ln (log base e) transformation of DHEAs/Creatinine was applied, and the Shapiro-Wilk test P-values are 0.163 and 0.765 for female and male groups, respectively, suggest that ln (DHEAs/Creatinine) is normally distributed. Therefore, in our multiple regression model, we used the ln transformation of DHEAs/Creatinine as our independent variable.
Fig. 2

Scatter plots showing the histograms for (A) DHEAs/Creatinine and (B) ln (DHEAs/Creatinine) in urine samples (ng/mL) of the male and female populations.

Scatter plots showing the histograms for (A) DHEAs/Creatinine and (B) ln (DHEAs/Creatinine) in urine samples (ng/mL) of the male and female populations. A regression model with interaction showing the relationship between age and sex (Table 4) significantly contributes to the prediction of ln (DHEAs/Creatinine), implying that age and sex are the significant predictors. However, the coefficients presented in Table 4 suggest that age is a more significant predictor than sex. The R2 value was 0.193, indicating that 19.3% of the variance in ln (DHEAs/Creatinine) could be explained by the model.
Table 4

Summary of multiple regression model (n ​= ​178).

VariableBSEP-value
Intercept−4.7410.27660.000
Sex0.5130.34460.136
Age−0.0220.00570.000
Sex ​× ​Age−0.0150.0070.034

R2 ​= ​0.193, F ​= ​13.896, P ​< ​0.001.

Summary of multiple regression model (n ​= ​178). R2 ​= ​0.193, F ​= ​13.896, P ​< ​0.001. The model can be written as follows: estimated ln (DHEAs/Creatinine) ​= ​−4.741 ​+ ​0.513xSex ​− ​0.022xAge – 0.015 Sex x Age. As seen in Fig. 3, we can obtain separate models for each sex as follows:
Fig. 3

Scatter plots of ln (DHEAs/Creatinine) in relation to age with fitted regression lines for the male and female populations.

Scatter plots of ln (DHEAs/Creatinine) in relation to age with fitted regression lines for the male and female populations. For female (Sex ​= ​1), estimated ln (DHEAs/Creatinine) ​= ​−4.228 − 0.037xAge. For male (Sex ​= ​0), estimated ln (DHEAs/Creatinine) ​= ​−4.741 − 0.022xAge. We may interpret the coefficients of the slopes as follows: For females, as age increases by 1 year, ln (DHEAs/Creatinine) is expected to decrease by −0.037 units or the DHEAs/Creatinine is expected to decrease by 100× (1−exp (−0.37)) ​= ​3.63%. For males, as age increases by 1 year, ln (DHEAs/Creatinine) is expected to decrease by −0.022 units or the DHEAs/Creatinine is expected to decrease by 100× (1−exp (−0.22)) ​= ​2.18%.

Discussion

In this work, we analyzed urine DHEAs in participants from five age groups with ten-year intervals. The relationship of urine DHEAs was studied in normal healthy subjects because many health conditions possibly affect DHEAs levels. Several studies have demonstrated that low DHEAs levels are associated with the risk of having testosterone deficiency syndrome in men, as well as with cardiac diseases, sleeplessness, Alzheimer’s diseases, and cognitive impairment [1,5]. Furthermore, smoking and drinking affect DHEAs level, that is, serum DHEAs level increases with smoking and alcohol intake (P ​< ​0.001) [27]. Some non-invasive studies have investigated the variations in the urine DHEAs levels in individuals younger than 20 years in order to formulate hypotheses on the mechanism of adrenarche [22,28,29]. However, only a few studies have reported on the normal range of urine DHEAs levels, whereas no data on the correlation of age and sex with urine DHEAs levels in healthy Thai population have been reported. This study showed that the urine DHEAs levels of healthy Thai volunteers vary in different age groups (20–80 years), and the highest levels were found in the age group 30–39 years. In the age group consisting of individuals 40 years and older, the DHEAs levels decreased and then slightly declined with advancing age. Thus far, no study has investigated the correlation between urine DHEAs level and a wide age range; however, Jia et al. reported that the level of 24-h urine 17-ketosteroid sulfate conjugates (DHEA, DHEAs, epiandrosterone-3-β-sulfate, androsterone-3-α-sulfate, and etiocholanol-17-one-3-α-sulfate) normalized by creatinine was negatively correlated with age (30–70 years) for both sexes, and it was highest in individuals aged 30–39 years [23]. A few researches have investigated the relationship between the DHEAs levels in serum and urine. Pratt et al. found that DHEAs levels were highly correlated with urinary excretion of adrenal androgen, with DHEA and DHEAs as the major secretory products (r ​= ​0.82) [28]. The plasma DHEAs concentrations in 14 adult volunteers were positively correlated (r ​= ​0.66) with urine DHEAs excretion [20]. Similarly, another study revealed that plasma DHEAs concentrations were positively correlated with urine DHEAs excretion (r ​= ​0.574) [21]. Several studies have shown an inverse association between serum DHEAs levels and age. In adulthood, DHEAs level peaks at the age of 17–19 years in female and at the age of 20–29 years in male and then declines with advancing age [18]. Moreover, the serum DHEAs concentrations were negatively correlated with age (20–80 years) in both sexes [3,19,18]. These patterns differ from the current result wherein urine DHEAs peaked in the age group 30–39 years for both sexes and then decreased with advancing age. For the relationship between DHEAs levels and gender, serum DHEAs levels were higher in males than females in all age groups [3,19,18]. Some study reported that serum DHEAs values were higher in men than in women until the ninth decade of life, but statistically significant sex difference was observed only in the aged group of 70–89 year (P-value ​< ​0.0001) [19]. For non-invasive study, Jia et al. studied the correlation between DHEAs in 24-h urine and gender. Their analysis found that 24-h secretion amount of DHEAs in urine has significantly higher in males than the same age of females (P-value ​= ​0.0046) [23]. In this study, the result demonstrates that there was no sexes difference in median DHEAs and DHEAs/Creatinine for the age groups 20–29, 30–39, and 40–49, while the significant difference in DHEAs/Creatinine was observed in the age groups 50–59 and the significant difference in DHEAs was shown in the age groups >60. The results are limited by the small sample sizes so an increase in the sample sizes would provide significant results. Due to our limitations, not all subjects 35 years and above were tested to complete all clinical parameters adopted from Park et al. [25] They were checked for laboratory parameters ordered by their physicians on their visits. However, most of them had got BMI, BP, HR, RFT, CBC and LP results. The results from the multiple regression showed that the DHEAs levels normalized by creatinine correlated with age and sex (P ​< ​0.05). Our fitted model implies that as age increases by 1 year, DHEAs/Creatinine is expected to decrease by 3.63% in females and by 2.18% in males. Similarly, serum DHEAs levels significantly decrease with age (2%–3% per year) [[2], [3], [4]]. Therefore, urine DHEAs measurement could be a non-invasive method to be employed in studies on aging and age-related diseases.

Conflict of interest

Potential conflict of interest exists: Bottom of Form. We wish to draw the attention of the Editor to the following facts, which may be considered as potential conflicts of interest, and to significant financial contributions to this work: The nature of potential conflict of interest is described below: No conflict of interest exists. We wish to confirm that there are no known conflicts of interest associated with this publication and there has been no significant financial support for this work that could have influenced its outcome.

Funding

Funding was received for this work. All of the sources of funding for the work described in this publication are acknowledged below: This study was funded by the the Center of Excellence on Medical Biotechnology [grant number CD-61-005]; the S&T Postgraduate Education and Research Development Office; the and the Science Achievement Scholarship of Thailand. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. No funding was received for this work.

Intellectual property

We confirm that we have given due consideration to the protection of intellectual property associated with this work and that there are no impediments to publication, including the timing of publication, with respect to intellectual property. In so doing we confirm that we have followed the regulations of our institutions concerning intellectual property.

Research ethics

We further confirm that any aspect of the work covered in this manuscript that has involved human patients has been conducted with the ethical approval of all relevant bodies and that such approvals are acknowledged within the manuscript. IRB approval was obtained (required for studies and series of 3 or more cases). Written consent to publish potentially identifying information, such as details or the case and photographs, was obtained from the patient(s) or their legal guardian(s).

Authorship

The International Committee of Medical Journal Editors (ICMJE) recommends that authorship be based on the following four criteria: 1. Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work; AND. 2. Drafting the work or revising it critically for important intellectual content; AND. 3. Final approval of the version to be published; AND. 4. Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. All those designated as authors should meet all four criteria for authorship, and all who meet the four criteria should be identified as authors. For more information on authorship, please see http://www.icmje.org/recommendations/browse/roles-and-responsibilities/defining-the-role-of-authors-and-contributors.html#two. All listed authors meet the ICMJE criteria. We attest that all authors contributed significantly to the creation of this manuscript, each having fulfilled criteria as established by the ICMJE. One or more listed authors do (es) not meet the ICMJE criteria. We believe these individuals should be listed as authors because: [Please elaborate below]. We confirm that the manuscript has been read and approved by all named authors. We confirm that the order of authors listed in the manuscript has been approved by all named authors.

Contact with the editorial office

The Corresponding Author declared on the title page of the manuscript is: Rina Patramanon. This author submitted this manuscript using his/her account in editorial submission system. We understand that this Corresponding Author is the sole contact for the Editorial process (including the editorial submission system and direct communications with the office). He/she is responsible for communicating with the other authors about progress, submissions of revisions and final approval of proofs. We confirm that the email address shown below is accessible by the Corresponding Author, is the address to which Corresponding Author’s editorial submission system account is linked, and has been configured to accept email from the editorial office of the journal of Practical Laboratory Medicine: narin@kku.ac.th. Someone other than the Corresponding Author declared above submitted this manuscript from his/her account in editorial submission system: We understand that this author is the sole contact for the Editorial process (including editorial submission system and direct communications with the office). He/she is responsible for communicating with the other authors, including the Corresponding Author, about progress, submissions of revisions and final approval of proofs.
  26 in total

Review 1.  Dehydroepiandrosterone (DHEA): a fountain of youth?

Authors:  E E Baulieu
Journal:  J Clin Endocrinol Metab       Date:  1996-09       Impact factor: 5.958

2.  Dehydroepiandrosterone replacement in aging humans.

Authors:  M A Flynn; D Weaver-Osterholtz; K L Sharpe-Timms; S Allen; G Krause
Journal:  J Clin Endocrinol Metab       Date:  1999-05       Impact factor: 5.958

3.  Association between DHEAS and bone loss in postmenopausal women: a 15-year longitudinal population-based study.

Authors:  Michael A Ghebre; Deborah J Hart; Alan J Hakim; Bernet S Kato; Vicky Thompson; Nigel K Arden; Tim D Spector; Guangju Zhai
Journal:  Calcif Tissue Int       Date:  2011-07-26       Impact factor: 4.333

4.  Dehydroepiandrosterone (DHEA), DHEA sulfate, and aging: contribution of the DHEAge Study to a sociobiomedical issue.

Authors:  E E Baulieu; G Thomas; S Legrain; N Lahlou; M Roger; B Debuire; V Faucounau; L Girard; M P Hervy; F Latour; M C Leaud; A Mokrane; H Pitti-Ferrandi; C Trivalle; O de Lacharrière; S Nouveau; B Rakoto-Arison; J C Souberbielle; J Raison; Y Le Bouc; A Raynaud; X Girerd; F Forette
Journal:  Proc Natl Acad Sci U S A       Date:  2000-04-11       Impact factor: 11.205

5.  Serum DHEAS levels are associated with the development of depression.

Authors:  Guang Zhu; You Yin; Chun-Lan Xiao; Rong-Jie Mao; Bo-Hai Shi; Yong Jie; Zuo-Wei Wang
Journal:  Psychiatry Res       Date:  2015-06-27       Impact factor: 3.222

6.  Adrenal androgen excretion during adrenarche. Relation to race and blood pressure.

Authors:  J H Pratt; A K Manatunga; M A Wagner; J J Jones; F J Meaney
Journal:  Hypertension       Date:  1990-10       Impact factor: 10.190

7.  Salivary cortisol and DHEA levels in the Korean population: age-related differences, diurnal rhythm, and correlations with serum levels.

Authors:  Ryun-Sup Ahn; Young-Jin Lee; Jun-Young Choi; Hyuk-Bang Kwon; Sae-Il Chun
Journal:  Yonsei Med J       Date:  2007-06-30       Impact factor: 2.759

8.  Long-term longitudinal measurements of plasma dehydroepiandrosterone sulfate in normal men.

Authors:  N Orentreich; J L Brind; J H Vogelman; R Andres; H Baldwin
Journal:  J Clin Endocrinol Metab       Date:  1992-10       Impact factor: 5.958

9.  Developing a biological age assessment equation using principal component analysis and clinical biomarkers of aging in Korean men.

Authors:  JinHo Park; BeLong Cho; HyukTae Kwon; CheolMin Lee
Journal:  Arch Gerontol Geriatr       Date:  2008-07-01       Impact factor: 3.250

Review 10.  Prognostic Value of Dehydroepiandrosterone Sulfate for Patients With Cardiovascular Disease: A Systematic Review and Meta-Analysis.

Authors:  Ting-Ting Wu; Yuan Chen; Yun Zhou; Dilare Adi; Ying-Ying Zheng; Fen Liu; Yi-Tong Ma; Xiang Xie
Journal:  J Am Heart Assoc       Date:  2017-05-05       Impact factor: 5.501

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