Application of adaptive neuro-fuzzy inference systems (ANFIS) to delineate estradiol, glutathione and homocysteine interactions

Mohan, Iyyapu Krishna; Khan, Siraj Ahmed; Jacob, Rachel; Chander, Nooguri Sushma; Hussain, Tajamul; Alrokayan, Salman A.; Devi, Akella Radha Rama; Naushad, Shaik Mohammad

doi:10.1016/j.clnesp.2017.03.007

Cited by 7 publications

(6 citation statements)

References 27 publications

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“…In terms of why the above results were not observed in females with hypertension, numerous reports are consistent with our results and provide possible mechanism 26,27 . Firstly, different sex hormone levels between men and women may affect the metabolism of homocysteine 26,27 ; the Third National Health and Nutrition Examination Survey stated that "…higher estrogen status is associated with a decreased mean serum total homocysteine concentration…" 28,29 . Secondly, the serum homocysteine concentration in smokers is higher than that in nonsmokers 30 ; in our subjects, 34.5% males smoke, in contrast, only 1.7% females smoke.…”

Section: Discussionsupporting

confidence: 92%

Homocysteine level is positively and independently associated with serum creatinine and urea nitrogen levels in old male patients with hypertension

Qian-hong

Deng

et al. 2020

Sci Rep

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A cross-sectional study to show whether and how serum fasting homocysteine levels are associated with renal function changes in patients with hypertension. Homocysteine levels were associated with serum creatinine and blood urea nitrogen (BUN) levels with coefficients of 2.04 and 0.07, respectively, only in males and independent of confounders. In addition, low density lipoprotein cholesterol (LDL-C) levels were positively and left ventricular ejection fraction (LVEF) was negatively associated with serum creatinine level in males; age was positively associated with serum creatinine levels in females. Age was a common risk factor positively associated with BUN levels in both sexes, while total cholesterol (TC) levels and glycemic control were independent risk factors that were positively associated with BUN levels only in males. LDL-C levels and LVEF were negatively associated with BUN levels in females. Body mass index (BMI) was positively associated and hemoglobin A1c (HbA1c) levels, high density lipoprotein cholesterol (HDL-C) levels and the presence of stroke were negatively associated with serum uric acid levels in male patients. In contrast, only LVEF was positively associated with uric acid levels in females. In conclusion, homocysteine level is an independent risk factor associated with serum creatinine and BUN levels in male patients with hypertension.

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Section: Discussionsupporting

confidence: 92%

Homocysteine level is positively and independently associated with serum creatinine and urea nitrogen levels in old male patients with hypertension

Qian-hong

Deng

et al. 2020

Sci Rep

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“…Interesting, Vitamin B12 was identified its central role in biochemical indices network through correlating to 21 other traits. Which is similar to previous studies, Vitamin B12 correlates with several quantitative traits, such as bone mineral density, FOL and FERR [34][35][36].…”

Section: Discussionsupporting

confidence: 92%

A phenomics-based approach for the detection and interpretation of shared genetic influences on 29 biochemical indices in Chinese south men

tan

et al. 2019

Preprint

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Background: Phenomics provides a new technologies and platforms as a systematic phenome-genome approach. However, few studies have reported on the system mining of shared genetics among clinical biochemical indices based on Phenomics methods, especially in China. This study aimed to apply phenomics to systematically explore shared genetics among 29 biochemical indices based on the Fangchenggang Area Male Health and Examination Survey cohort. Result: A total of 1,999 subjects with 29 biochemical indices and 709,211 single nucleotide polymorphisms were subjected to phenomics analysis. Three bioinformatics methods, namely, Pearson test, Jaccard index, and linkage disequilibrium score regression , were used. Results showed that 29 biochemical indices were from a network. IgA, IgG, IgE, IgM, HCY, AFP and B12 were in the central community of 29 biochemical indices. Key genes and loci associated with metabolism traits were further identified, shared-genetics analysis showed that 29 SNPs (P < 10 -4 ) were associated with three or more traits. After integrating the SNPs related to two or more traits with the GWAS catalog, 31 SNPs were found to be associated with several diseases (P < 10 -8 ). Taking ALDH2 as an example to preliminarily explore its biological function, we also confirmed that rs671 (ALDH2) polymorphism affected multiple traits of osteogenesis and adipogenesis differentiation in 3T3-L1 preadipocytes. Conclusion: All these findings indicated a network of shared genetics and 29 biochemical indices, which will helpfully understand the genetics participated in biochemical metabolism.

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“…Interestingly, vitamin B12 was identified as having a central role in the biochemical indices network by correlating to 21 other traits. Similar to previous studies, vitamin B12 correlates with several quantitative traits, such as bone mineral density, FOL and FERR [34][35][36].…”

Section: Discussionsupporting

confidence: 88%

A phenomics-based approach for the detection and interpretation of shared genetic influences on 29 biochemical indices in southern Chinese men

tan

et al. 2019

Preprint

View full text Add to dashboard Cite

Background: Phenomics provides new technologies and platforms as a systematic phenome-genome approach. However, few studies have reported on the systematic mining of shared genetics among clinical biochemical indices based on phenomics methods, especially in China. This study aimed to apply phenomics to systematically explore shared genetics among 29 biochemical indices based on the Fangchenggang Area Male Health and Examination Survey cohort. Result: A total of 1,999 subjects with 29 biochemical indices and 709,211 single nucleotide polymorphisms (SNPs) were subjected to phenomics analysis. Three bioinformatics methods, namely, Pearson’s test, Jaccard’s index, and linkage disequilibrium score regression, were used. The results showed that 29 biochemical indices were from a network. IgA, IgG, IgE, IgM, HCY, AFP and B12 were in the central community of 29 biochemical indices. Key genes and loci associated with metabolism traits were further identified, and shared genetics analysis showed that 29 SNPs (P < 10-4) were associated with three or more traits. After integrating the SNPs related to two or more traits with the GWAS catalogue, 31 SNPs were found to be associated with several diseases (P < 10-8). Using ALDH2 as an example to preliminarily explore its biological function, we also confirmed that the rs671 (ALDH2) polymorphism affected multiple traits of osteogenesis and adipogenesis differentiation in 3T3-L1 preadipocytes. Conclusion: All these findings indicated a network of shared genetics and 29 biochemical indices, which will help fully understand the genetics participating in biochemical metabolism.

show abstract

Application of adaptive neuro-fuzzy inference systems (ANFIS) to delineate estradiol, glutathione and homocysteine interactions

Cited by 7 publications

References 27 publications

Homocysteine level is positively and independently associated with serum creatinine and urea nitrogen levels in old male patients with hypertension

Homocysteine level is positively and independently associated with serum creatinine and urea nitrogen levels in old male patients with hypertension

A phenomics-based approach for the detection and interpretation of shared genetic influences on 29 biochemical indices in Chinese south men

A phenomics-based approach for the detection and interpretation of shared genetic influences on 29 biochemical indices in southern Chinese men

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