1
|
García-Alfaro P, Rodriguez I, Pérez-López FR. Plasma homocysteine levels and handgrip strength in postmenopausal women. Climacteric 2022; 25:504-509. [PMID: 35532029 DOI: 10.1080/13697137.2022.2068409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
OBJECTIVE This study evaluated handgrip strength (HGS), circulating homocysteine levels and related factors in postmenopausal women. METHODS This study is a sub-analysis of a prospective cohort of 303 postmenopausal women aged 62.7 ± 6.9 years who had HGS measures with a digital dynamometer as the primary outcome, and plasma homocysteine and creatinine levels and glomerular filtration rate (GFR) measures as the secondary outcomes. RESULTS The average HGS was 22.5 ± 4.0 kg, 29.4% of women had dynapenia (HGS < 20 kg), adiposity was 40.3 ± 5.4% and 9.57% of women had hyperhomocysteinemia (homocysteine >15 μmol/l). There were no differences between tertiles of homocysteine and HGS (p = 0.641). Plasma homocysteine levels were unrelated to HGS (r = -0.06) and correlated with age (r = 0.17), GFR (r = -0.28) and creatinine (r = 0.23). Hyperhomocysteinemia was not associated with HGS (odds ratio [OR] = 0.98 [95% confidence interval (CI): 0.89; 1.08]) or dynapenia (OR = 1.10 [95% CI: 0.45; 2.47]). The risk of presenting low HGS were not significantly associated with homocysteine (OR = -0.08 [95% CI: -0.21; 0.06]) and were associated with age (OR = -0.23 [95% CI: -0.29; -0.17]), adiposity (OR = -6.52 [95% CI: -9.53; -3.50]) and creatinine (OR = 6.22 [95% CI: 2.48; 9.97]). CONCLUSIONS HGS and dynapenia were unrelated to hyperhomocysteinemia. Age, GFR and creatinine were significantly associated with plasma homocysteine levels.
Collapse
Affiliation(s)
- P García-Alfaro
- Department of Obstetrics, Gynecology and Reproduction, Hospital Universitario Dexeus, Barcelona, Spain
| | - I Rodriguez
- Department of Obstetrics, Gynecology and Reproduction, Hospital Universitario Dexeus, Barcelona, Spain
| | - F R Pérez-López
- Department of Obstetrics and Gynecology, University of Zaragoza Faculty of Medicine, Zaragoza, Spain
| |
Collapse
|
3
|
Hu Y, Tan A, Yu L, Hou C, Kuang H, Wu Q, Su J, Zhou Q, Zhu Y, Zhang C, Wei W, Li L, Li W, Huang Y, Huang H, Xie X, Lu T, Zhang H, Yang X, Gao Y, Li T, Jiang Y, Mo Z. A phenomics-based approach for the detection and interpretation of shared genetic influences on 29 biochemical indices in southern Chinese men. BMC Genomics 2019; 20:983. [PMID: 31842750 PMCID: PMC6916074 DOI: 10.1186/s12864-019-6363-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2019] [Accepted: 12/02/2019] [Indexed: 01/01/2023] Open
Abstract
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 1999 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 3 T3-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.
Collapse
Affiliation(s)
- Yanling Hu
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.,Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Aihua Tan
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.,Department of chemotherapy, The Affiliated Tumor Hospital of Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Lei Yu
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Chenyang Hou
- Department of Information and Management, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Haofa Kuang
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Qunying Wu
- Department of Biochemistry and Molecular Biology, School of Pre-Clinical Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jinghan Su
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Qingniao Zhou
- Department of Biochemistry and Molecular Biology, School of Pre-Clinical Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yuanyuan Zhu
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Chenqi Zhang
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Wei Wei
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Lianfeng Li
- Department of Information and Management, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Weidong Li
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yuanjie Huang
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Hongli Huang
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Xing Xie
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Tingxi Lu
- Department of Information and Management, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Haiying Zhang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Xiaobo Yang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yong Gao
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Tianyu Li
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Yonghua Jiang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
| | - Zengnan Mo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
| |
Collapse
|
4
|
Gerivani Z, Ghasemi N, Qomi M, Abdollahi M, Maleki Rad AA. Prediction of rizatriptan trace level in biological samples: An application of the adaptive-network-based fuzzy inference system (ANFIS) in assisting drug dose monitoring. J LIQ CHROMATOGR R T 2018. [DOI: 10.1080/10826076.2017.1419961] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Zakiyeh Gerivani
- Department of Chemistry, Sciences Faculty, Arak Branch, Islamic Azad University, Arak, Iran
| | - Nahid Ghasemi
- Department of Chemistry, Sciences Faculty, Arak Branch, Islamic Azad University, Arak, Iran
| | - Mahnaz Qomi
- Active Pharmaceutical Ingredients Research Center (APIRC), Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran
| | - Mohammad Abdollahi
- Faculty of Pharmacy and Pharmaceutical Sciences Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali A. Maleki Rad
- Faculty of Pharmacy and Pharmaceutical Sciences Research Center, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|