Metabolic profiling of cholesterol and sex steroid hormones to monitor urological diseases

Moon, Joon‐Kwan; Choi, Man Ho; Kim, Jayoung

doi:10.1530/erc-16-0285

Cited by 36 publications

(18 citation statements)

References 104 publications

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“…As proposed in our previously published review articles, monitoring the changes in metabolic landscape, cholesterol, and sex hormones through metabolic profiling can be of immense benefit to patients 31 , 32 . Our urinary metabolomics data clearly suggests that sex differences should be considered in future laboratory and clinical studies.…”

Section: Discussionmentioning

confidence: 99%

Sex-associated differences in baseline urinary metabolites of healthy adults

Fan

Yeon

Shahid

et al. 2018

Sci Rep

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The biological basis for gender variability among disease states is not well established. There have been many prior efforts attempting to identify the unique urine metabolomic profiles associated with specific diseases. However, there has been little advancement in investigating the metabolomic differences associated with gender, which underlies the misconception that risk factors and treatment regimens should be the same for both male and female patients. This present study aimed to identify biologically-meaningful baseline sex-related differences using urine samples provided by healthy female and male participants. To elucidate whether urinary metabolic signatures are globally distinct between healthy males and females, we applied metabolomics profiling of primary metabolism with comprehensive bioinformatics analyses on urine samples from 60 healthy males and females. We found that levels of α-ketoglutarate and 4-hydroxybutyric acid increased 2.3-fold and 4.41-fold in males compared to females, respectively. Furthermore, chemical similarity enrichment analysis revealed that differentially expressed metabolites, such as saturated fatty acids, TCA, and butyrates, were significantly related to the gender effect. These findings indicate that there are baseline sex-related differences in urinary metabolism, which should be considered in biomarker discovery, diagnosis, and treatment of bladder diseases, such as interstitial cystitis.

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Section: Discussionmentioning

confidence: 99%

Sex-associated differences in baseline urinary metabolites of healthy adults

Fan

Yeon

Shahid

et al. 2018

Sci Rep

Self Cite

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“…It seems that the ALP activity increases during menopause, which can affect serum levels of lipid profiles such as TC and LDL. Given that TC is one of the main sources for the synthesis of sex hormones, 39,40 it is possible that changes in the serum levels of TC by estrogen and progesterone during menopause may be linked to the aging process. Since the transfer of cholesterol into the tissue is required for LDL production, the increase in TC can also affect serum levels of LDL during menopause.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Hepatic and Lipid Profiles Following 12 Weeks of Aerobic Exercise in Overweight Postmenopausal Women

Tartibian

Malandish

Afsargharehbagh

et al. 2018

Int J Basic Sci Med

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Introduction: The impact of aerobic training on liver function by modulating hepatic enzymes and lipid profiles in overweight women is uncertain. The aim of our study was to examine the impact of 12-week aerobic exercise training on hepatic and lipid profiles and cardiorespiratory indices in overweight women aged over 50 years.Methods: Thirty sedentary and overweight postmenopausal women (PMW) over 50 years old were randomly divided into 2 groups: exercise (Ex, n=15) and control (C, n=15) groups. The Ex group performed moderate-intensity aerobic exercise (60 min/d, 3 days/week at 65%-70% of maximal heart rate reserve [HRmax]) for 12 weeks. The C group participated in no intervention during a 3-month period and maintained their normal daily lifestyle. The serum levels of hepatic and lipid profiles were assessed at baseline and after week 12. Descriptive and inferential (ANCOVA test) statistics were used to analyze the data using SPSS software version 23.0 at a significance level of P < 0.05. Results: After 12 weeks of exercise intervention, the serum levels of hepatic and lipid profiles were not significantly different in the Ex group compared to the C group (P > 0.05). However, maximal oxygen uptake (VO2max), walking-jogging time to exhaustion (WJTE), and alkaline phosphatase (ALP) significantly increased in the Ex group (P < 0.05). In contrast, systolic blood pressure (SBP) significantly decreased in the Ex group (P < 0.05). Conclusion: The results demonstrated that 12-week moderate-intensity aerobic exercise (jogging and walking) at 65%-70% of HRmax did not affect the liver function without modulating hepatic enzymes and lipid profiles in overweight women over 50 years old, whereas cardiorespiratory fitness (CRF) by modulating VO2max, WJTE, and SBP was improved.

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“…Cholesterol is an important precursor for androgen synthesis (26). Androgens are shown to have a role in the proliferation of prostate cells and the development of prostate cancer, and PSA secretion has been associated with androgens (26). The cholesterol-androgen relationship may explain the association between elevated serum PSA and high cholesterol.…”

Section: Discussionmentioning

confidence: 99%

Assessment of the Relationship Between Serum Prostate-Specific Antigen Level and Serum Fasting Glucose, Total Cholesterol and Neutrophil-Lymphocyte Ratio in Men Aged 50-70 Years with Prostate-Specific Antigen Level 0-10 ng/mL without Prostate Cancer Diagnosis

İrer¹

2018

uob

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Objective: To evaluate the relationship between serum prostate-specific antigen (PSA) level and total cholesterol, fasting blood glucose, and neutrophillymphocyte ratio (NLR) in men without prostate cancer. Materials and Methods: Between 2010 and 2017, 2631 male participants aged 50-70 years with a serum PSA level of 0-10 ng/mL were included from a population of 4643 healthy males who participated in a health screening program conducted by the İzmir Metropolitan Municipality Eşrefpaşa Hospital in the district villages of İzmir. Participants' serum PSA, fasting blood glucose, total cholesterol levels, and NLR were retrospectively assessed. Participants were grouped as those with high and low serum PSA levels, high and low glucose levels, and high and low cholesterol levels. Differences between the groups in terms of serum PSA levels, serum total cholesterol, glucose, and NLR were analyzed. Results: The mean age of the participants was 60.2±5.4 years and the mean serum PSA level was 1.28±1.20 ng/mL. The mean PSA value was higher in the high cholesterol group (1.36±1.33 vs 1.19±1.02, p<0.001) compared to the low cholesterol group, and the mean PSA value in the high glucose group was lower than in the low glucose group (1.08±0.86 vs 1.32±1.25, p<0.001). Compared to the normal PSA group, the high PSA group had higher mean cholesterol level (208.6±39.9 vs 203.3±41.8, p<0.001) and NLR (2.17±1.00 vs 2.06±0.89, p=0.039), but lower glucose level (108.5±32.5 vs 117.2±51.0, p=0.004). Serum PSA level was positively correlated with total cholesterol and NLR (r=0.074 and p<0.001, r=0.050 and p=0.011), and negatively with glucose level (r=-0.084 and p<0.001). Conclusion: Evaluation of total cholesterol, fasting glucose, and NLR, which may be associated with serum PSA levels, may help urologists when investigating elevated serum PSA levels in asymptomatic men aged 50-70 years who have not been diagnosed with prostate cancer.

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Metabolic profiling of cholesterol and sex steroid hormones to monitor urological diseases

Cited by 36 publications

References 104 publications

Sex-associated differences in baseline urinary metabolites of healthy adults

Sex-associated differences in baseline urinary metabolites of healthy adults

Assessment of Hepatic and Lipid Profiles Following 12 Weeks of Aerobic Exercise in Overweight Postmenopausal Women

Assessment of the Relationship Between Serum Prostate-Specific Antigen Level and Serum Fasting Glucose, Total Cholesterol and Neutrophil-Lymphocyte Ratio in Men Aged 50-70 Years with Prostate-Specific Antigen Level 0-10 ng/mL without Prostate Cancer Diagnosis

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