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Zahedi AS, Zarkesh M, Sedaghati-khayat B, Hedayati M, Azizi F, Daneshpour MS. Insulin resistance-related circulating predictive markers in the metabolic syndrome: a systematic review in the Iranian population. J Diabetes Metab Disord 2024; 23:199-213. [PMID: 38932859 PMCID: PMC11196549 DOI: 10.1007/s40200-023-01347-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 11/08/2023] [Indexed: 06/28/2024]
Abstract
Background Specific biomarkers for metabolic syndrome (MetS) may improve diagnostic specificity for clinical information. One of the main pathophysiological mechanisms of MetS is insulin resistance (IR). This systematic review aimed to summarize IR-related biomarkers that predict MetS and have been investigated in Iranian populations. Methods An electronic literature search was done using the PubMed and Scopus databases up to June 2022. The risk of bias was assessed for the selected articles using the instrument suggested by the Joanna Briggs Institute (JBI). This systematic review protocol was registered with PROSPERO (registration number CRD42022372415). Results Among the reviewed articles, 46 studies investigated the association between IR biomarkers and MetS in the Iranian population. The selected studies were published between 2009 and 2022, with the majority being conducted on adults and seven on children and adolescents. The adult treatment panel III (ATP III) was the most commonly used criteria to define MetS. At least four studies were conducted for each IR biomarker, with LDL-C being the most frequently evaluated biomarker. Some studies have assessed the diagnostic potency of markers using the area under the curve (AUC) with sensitivity, specificity, and an optimal cut-off value. Among the reported values, lipid ratios and the difference between non-HDL-C and LDL-C levels showed the highest AUCs (≥ 0.80) for predicting MetS. Conclusions Considering the findings of the reviewed studies, fasting insulin, HOMA-IR, leptin, HbA1c, and visfatin levels were positively associated with MetS, whereas adiponectin and ghrelin levels were negatively correlated with this syndrome. Among the investigated IR biomarkers, the association between adiponectin levels and components of MetS was well established. Supplementary Information The online version contains supplementary material available at 10.1007/s40200-023-01347-6.
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Affiliation(s)
- Asiyeh Sadat Zahedi
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Zarkesh
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Bahar Sedaghati-khayat
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Hedayati
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam S Daneshpour
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Elangeeb ME, Elfaki I, Elkhalifa MA, Adam KM, Alameen AO, Elfadl AK, Albalawi IA, Almasoudi KS, Almotairi R, Alsaedi BSO, Alhelali MH, Mir MM, Amle D, Mir R. In Silico Investigation of AKT2 Gene and Protein Abnormalities Reveals Potential Association with Insulin Resistance and Type 2 Diabetes. Curr Issues Mol Biol 2023; 45:7449-7475. [PMID: 37754255 PMCID: PMC10528407 DOI: 10.3390/cimb45090471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/12/2023] [Accepted: 08/24/2023] [Indexed: 09/28/2023] Open
Abstract
Type 2 diabetes (T2D) develops from insulin resistance (IR) and the dysfunction of pancreatic beta cells. The AKT2 protein is very important for the protein signaling pathway, and the non-synonymous SNP (nsSNPs) in AKT2 gene may be associated with T2D. nsSNPs can result in alterations in protein stability, enzymatic activity, or binding specificity. The objective of this study was to investigate the effect of nsSNPs on the AKT2 protein structure and function that may result in the induction of IR and T2D. The study identified 20 variants that were considered to be the most deleterious based on a range of analytical tools included (SIFT, PolyPhen2, Mut-pred, SNAP2, PANTHER, PhD-SNP, SNP&Go, MUpro, Cosurf, and I-Mut). Two mutations, p.A179T and p.L183Q, were selected for further investigation based on their location within the protein as determined by PyMol. The results indicated that mutations, p.A179T and p.L183Q alter the protein stability and functional characteristics, which could potentially affect its function. In order to conduct a more in-depth analysis of these effects, a molecular dynamics simulation was performed for wildtype AKT2 and the two mutants (p.A179T and p.L183Q). The simulation evaluated various parameters, including temperature, pressure, density, RMSD, RMSF, SASA, and Region, over a period of 100 ps. According to the simulation results, the wildtype AKT2 protein demonstrated higher stability in comparison to the mutant variants. The mutations p.A179T and p.L183Q were found to cause a reduction in both protein stability and functionality. These findings underscore the significance of the effects of nsSNPs (mutations p.A179T and p.L183Q) on the structure and function of AKT2 that may lead to IR and T2D. Nevertheless, they require further verifications in future protein functional, protein-protein interaction, and large-scale case-control studies. When verified, these results will help in the identification and stratification of individuals who are at risk of IR and T2D for the purpose of prevention and treatment.
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Affiliation(s)
- M. E. Elangeeb
- Department of Basic Medical Sciences, College of Applied Medical Sciences, University of Bisha, Bisha 61922, Saudi Arabia
| | - Imadeldin Elfaki
- Department of Biochemistry, Faculty of Science, University of Tabuk, Tabuk 47512, Saudi Arabia;
| | - M. A. Elkhalifa
- Department of Anatomy, Faculty of Medicine and Health Sciences, University of Bisha, Bisha 61922, Saudi Arabia;
| | - Khalid M. Adam
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Bisha, Bisha 61922, Saudi Arabia;
| | - A. O. Alameen
- Department of Biomedical Science, Faculty of Veterinary Medicine, King Faisal University, Alahssa 31982, Saudi Arabia;
| | - Ahmed Kamaleldin Elfadl
- Veterinary Research Section, Ministry of Municipality, Doha P.O. Box 35081, Qatar;
- Department of Pathology, Faculty of Veterinary Medicine, University of Khartoum, Khartoum 11115, Sudan
| | | | - Kholoud S. Almasoudi
- Department of Medical Lab Technology, Prince Fahad Bin Sultan Chair for Biomedical Research, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 71491, Saudi Arabia; (K.S.A.); (R.A.)
| | - Reema Almotairi
- Department of Medical Lab Technology, Prince Fahad Bin Sultan Chair for Biomedical Research, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 71491, Saudi Arabia; (K.S.A.); (R.A.)
| | - Basim S. O. Alsaedi
- Department of Statistics, University of Tabuk, Tabuk 47512, Saudi Arabia; (B.S.O.A.); (M.H.A.)
| | - Marwan H. Alhelali
- Department of Statistics, University of Tabuk, Tabuk 47512, Saudi Arabia; (B.S.O.A.); (M.H.A.)
| | - Mohammad Muzaffar Mir
- Department of Basic Medical Sciences, College of Medicine, University of Bisha, Bisha 61922, Saudi Arabia;
| | - Dnyanesh Amle
- Department of Biochemistry, All India Institute of Medical Sciences, Nagpur 441108, India;
| | - Rashid Mir
- Department of Medical Lab Technology, Prince Fahad Bin Sultan Chair for Biomedical Research, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk 71491, Saudi Arabia; (K.S.A.); (R.A.)
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Ren Z, Liu X, Abdollahi E, Tavasolian F. Genetically Engineered Exosomes as a Potential Regulator of Th1 Cells Response in Rheumatoid Arthritis. Biopreserv Biobank 2023; 21:355-366. [PMID: 36779995 DOI: 10.1089/bio.2022.0003] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2023] Open
Abstract
Background: Rheumatoid arthritis is a long-lasting inflammatory disease that usually involves joints, but it can also affect other organs, including the skin and lungs. In this case, it is important to maintain a balance between beneficial pro-inflammatory activity and harmful overactivation of the T helper cells (Th). We strive to investigate in this study the possibilities for the effect of mesenchymal stem cells (MSCs)-derived exosomes containing miR-146a/miR-155 on the lymphocyte population and function. Methods: Exosomes were isolated from overexpressed miR-146a/miR-155 MSCs for the purpose of this analysis. Splenocytes were isolated from collagen-induced arthritis (CIA) and control mice. It was important to consider the expressions of certain predominant autoimmune-response genes, including T-bet and interferon-γ (IFNγ), by quantitative real-time polymerase chain reaction and enzyme-linked immunosorbent assay. It turned out to be a significant consideration with p < 0.05. Results: The results are expressed in percentages with respect to miR-146a/AntimiR-155 transduced MSC-derived exosomes treatment, which significantly decreased the mRNA expression level of IFNγ in healthy mice (p < 0.05). miR-146a transduced MSC-derived exosomes treatment significantly reduced the mRNA expression level of IFNγ in CIA mice (p < 0.05). It should be noted that the secretion of the pro-inflammatory factor IFNγ in CIA mice was inhibited in almost all groups (p < 0.05). Conclusion: Many research groups have mainly focused on strategies for reducing pro-inflammatory cytokines. This approach was recently suggested and investigated in our research team and suggested that manipulation of MSCs-derived exosomes could minimize pro-inflammatory cytokine production to strike a balance among Th subsets. These approaches tend to appear to achieve better results in the regulation of the immune system by the use of engineered exosomes derived from MSCs. By providing accurate information the reasonably practicable use of exosomes for cell-free therapy can be established.
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Affiliation(s)
- Zheng Ren
- Department of Orthopedics and Orthopedics, The sixth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Xiuxin Liu
- Department of Orthopedics and Orthopedics, The sixth Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Elham Abdollahi
- Supporting the family and the youth of the population Research Core, Department of Gynecology, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Immunology, Mashhad University of Medical Sciences, Mashhad, Iran
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Ding Y, Tang Z, Zhang R, Zhang M, Guan Q, Zhang L, Wang H, Chen Y, Zhang W, Wang J. Genetic Variations of AKT1 are Associated with Risk Screening for Non-Alcoholic Fatty Liver Disease. Risk Manag Healthc Policy 2023; 16:1365-1376. [PMID: 37525829 PMCID: PMC10387243 DOI: 10.2147/rmhp.s416592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 07/12/2023] [Indexed: 08/02/2023] Open
Abstract
Purpose Protein kinase B (PKB/AKT) has shown a high profile in the research of metabolic diseases. This research sought to determine whether the AKT1 gene's single nucleotide polymorphisms (SNPs) and the risk of developing non-alcoholic fatty liver disease (NAFLD) were related. Patients and Methods Recruited in this case-control study were 2693 subjects, including 815 with NAFLD and 1878 without NAFLD. Three SNPs of AKT1 (rs2494732, rs2494752 and rs1130233) were genotyped. To examine the correlation between SNPs and NAFLD susceptibility, logistic regression was performed. Results After adjusting for sex, age, triglyceride and glucose, AKT1 rs2494732-C (all P < 0.05 in co-dominant model, dominant model and additive model) and rs2494752-G (P < 0.05 in co-dominant model) were linked to a lower risk of NAFLD. The combined effect of both SNPs on NAFLD risk was statistically significant, showing a dose dependence (Ptrend = 0.010). Sex, body mass index, hypertension, hyperglycemia, hypertriglyceridemia, high-density lipoprotein-cholesterol, alanine aminotransferase, and beneficial alleles were all significant predictors of NAFLD risk (all P < 0.05). The prediction model achieved good discrimination, with an area under the receiver operating characteristic curve of 0.779. The Hosmer-Lemeshow test suggested an inadequate calibration of the model (χ2 = 21.073, P = 0.007). Conclusion AKT1 rs2494732 and rs2494752 may be related to Chinese NAFLD susceptibility. The prediction model combining both SNPs with clinical factors displays a strong ability to discriminate NAFLD patients. Both SNPs may be exploited to design new models for early screening of NAFLD high-risk population.
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Affiliation(s)
- Yajie Ding
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Zongzhe Tang
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Ru Zhang
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Mengting Zhang
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Qing Guan
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Liuxin Zhang
- The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong (SAR), People’s Republic of China
| | - Hongliang Wang
- Department of General Practice, Ninghai Road Community Health Service Center, Nanjing, Jiangsu, People’s Republic of China
| | - Yue Chen
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
| | - Wei Zhang
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai, People’s Republic of China
| | - Jie Wang
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, Jiangsu, People’s Republic of China
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Combined Network Pharmacology and Molecular Docking to Verify the Treatment of Type 2 Diabetes with Pueraria Lobata Radix and Salviae Miltiorrhizae Radix. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2023; 2023:9150324. [PMID: 36820318 PMCID: PMC9938769 DOI: 10.1155/2023/9150324] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 10/27/2022] [Accepted: 11/24/2022] [Indexed: 02/13/2023]
Abstract
Objective To explore the potential molecular mechanism of Pueraria Lobata Radix (RP) and Salviae Miltiorrhizae Radix (RS) in the treatment of type 2 diabetes mellitus (T2DM) based on network pharmacology and molecular docking. Methods The chemical constituents and core targets of RP and RS were searched by Traditional Chinese Medicine System Pharmacology (TCMSP); target genes related to T2DM were obtained through GeneCards database, component target network diagram was constructed, intersection genes of active compounds and T2DM were synthesized, protein-protein interaction (PPI) relationship was obtained, and core targets were screened by using Cytoscape 3.7.2. Gene Ontology (GO) biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway were analyzed utilizing R studio 4.0.4 according to David database. Based on molecular docking, the screened active components of RP and RS were verified by molecular docking with the core target using Discovery Studio 2019. Results There were totally 92 components and 29 corresponding targets in the component target network of RP and RS drug pair, of which 6 were the core targets of RP and RS in the treatment of T2DM. Molecular docking results showed that the active compounds of puerarin, formononetin, tanshinone iia, and luteolin had better binding activity with AKT1, VEGFA, NOS3, PPARG, MMP9, and VCAM1, respectively. Among them, puerarin showed significant effects in activating NOS3 pathway and luteolin exhibited significant effects in activating MMP9 pathway, respectively. The main biological processes mainly including xenobiotic stimulus, response to peptide, gland development, response to radiation, cellular response to chemical stress, response to oxygen levels, and the main signal pathways include response to xenobiotic stimulus, cellular response to chemical stress, response to peptide, gland development, and response to oxygen levels. Conclusion Network pharmacology is an effective tool to explain the action mechanism of Traditional Chinese Medicine (TCM) from the overall perspective. RP and RS pair could alleviate T2DM via the molecular mechanism predicted by the network pharmacology, which provided new ideas and further research on the molecular mechanism of T2DM.
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Association between dietary patterns and body composition in normal-weight subjects with metabolic syndrome. J Diabetes Metab Disord 2022; 21:735-741. [PMID: 35673495 DOI: 10.1007/s40200-022-01043-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 04/15/2022] [Indexed: 12/19/2022]
Abstract
Background and aims The development of metabolic syndrome (MetS) has been proposed to be related to dietary pattern and body compostion indexes. Diet is one of the most important lifestyle-related factors which may regulate the inflammatory process. Numerous individual foods and dietary patterns can have a valuable health effect that is associated with their anti-inflammatory properties. Here we aimed to investigate the association between body composition indexes and dietary patterns in individuals with metabolic syndrome who were nnormal for weight. Methods and materials Normal weight subjects with MetS were recruited as part of Survey of Ultraviolet Intake by Nutritional Approach (SUVINA). A validated food frequency questionnaire (FFQ) was used to determine dietary patterns that were: low-, or high in antioxidant; dietary inflammation index (DII) and health eating index (HEI) were also determined. Body composition indexes including basal metabolic rate (BMR), body free fat mass (BFFM), body fat mass (BFM), body fat percentage (BFP), trunk fat and total body water (TBW) were measured using a InBody body composition analyser. A P value <0.05 was considered significant. Results A total 77 individuals including 29 males and 48 females were recruited into the study. A high-antioxidant dietary pattern was significantly correlated with BMR (p = 0.002), BFFM (p = 0.007) and TBW (p = 0.002). There was no significant relationship between body compostion with a low-antioxidant dietary pattern, DII and HEI. After adjusting for age and sex, our findings showed that a high-antioxidant dietary pattern were independently associated with BMR, BFFM and TBW. Conclusion A high-antioxidant dietary pattern was independently associated with decreased BMR, BFFM and TBW, while no association was found between body composition indexes and DII and HEI in normal weight paticipants with MetS.
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Liu F, Li L, Chen J, Wu Y, Cao Y, Zhong P. A Network Pharmacology to Explore the Mechanism of Calculus Bovis in the Treatment of Ischemic Stroke. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6611018. [PMID: 33778069 PMCID: PMC7972848 DOI: 10.1155/2021/6611018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 02/15/2021] [Accepted: 02/20/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Calculus Bovis is a valuable Chinese medicine, which is widely used in the clinical treatment of ischemic stroke. The present study is aimed at investigating its target and the mechanism involved in ischemic stroke treatment by network pharmacology. METHODS Effective compounds of Calculus Bovis were collected using methods of network pharmacology and using the Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine (BATMAN-TCM) and the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Potential compound targets were searched in the TCMSP and SwissTargetPrediction databases. Ischemic stroke-related disease targets were searched in the Drugbank, DisGeNet, OMIM, and TTD databases. These two types of targets were uploaded to the STRING database, and a network of their interaction (PPI) was built with its characteristics calculated, aiming to reveal a number of key targets. Hub genes were selected using a plug-in of the Cytoscape software, and Gene Ontology (GO) biological processes and pathway enrichment analyses of Kyoto Encyclopedia of Genes and Genomes (KEGG) were conducted using the clusterProfiler package of R language. RESULTS Among 12 compounds, deoxycorticosterone, methyl cholate, and biliverdin were potentially effective components. A total of 344 Calculus Bovis compound targets and 590 ischemic stroke targets were found with 92 overlapping targets, including hub genes such as TP53, AKT, PIK2CA, MAPK3, MMP9, and MMP2. Biological functions of Calculus Bovis are associated with protein hydrolyzation, phosphorylation of serine/threonine residues of protein substrates, peptide bond hydrolyzation of peptides and proteins, hydrolyzation of intracellular second messengers, antioxidation and reduction, RNA transcription, and other biological processes. CONCLUSION Calculus Bovis may play a role in ischemic stroke by activating PI3K-AKT and MAPK signaling pathways, which are involved in regulating inflammatory response, cell apoptosis, and proliferation.
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Affiliation(s)
- Fangchen Liu
- Department of Neurology, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
- Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Ling Li
- Institute of Vascular Disease, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
| | - Jian Chen
- Institute of Vascular Disease, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
| | - Ying Wu
- Department of Neurology, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
| | - Yongbing Cao
- Institute of Vascular Disease, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
| | - Ping Zhong
- Department of Neurology, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai 200082, China
- Department of Neurology, Shidong Hospital of Yangpu District, Shanghai 200090, China
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Saki K, Mansouri V, Abdi S, Fathi M, Razzaghi Z, Haghazali M. Assessment of common and differentially expressed proteins between diabetes mellitus and fatty liver disease: a network analysis. GASTROENTEROLOGY AND HEPATOLOGY FROM BED TO BENCH 2021; 14:S94-S101. [PMID: 35154608 PMCID: PMC8817743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 09/11/2021] [Indexed: 12/03/2022]
Abstract
AIM This study aimed to introduce the main biomarkers related to NFLD and diabetes II to determine common pathogenic and metabolite factors linking NFLD to diabetes II. BACKGROUND Nonalcoholic fatty liver disease (NFLD) is chronic hepatic failure with a broad range of hepatic disorders. NFLD and diabetes type 2 coexist regularly to drive adverse outcomes such as hepatocellular carcinoma and vascular complications. METHODS The proteins related to NFDL and diabetes mellitus were extracted from String database. Proteins related to each disease were included in protein-protein interaction networks in Cytoscape software. Obtained networks were analyzed using Cytoscape network analyzer. The central nodes were determined as top hubs based on degree value. The top hubs related to NFLD and diabetes mellites were compared. RESULTS In total, 200 proteins related to NFDL and diabetes mellitus were found separately in String database and connected through undirected edges in individual networks. Central nodes based on degree value were determined for each disease. Ten percent of top nodes were selected based on degree value as the 20 top hubs for each disease. Target common hub proteins between NFDL and diabetes mellitus comprised INS, AKT1, ALB, PPARG, IL6, GPDPH, LEP, TNF, ADIPOQ, IGF1, TP53, MAPK3, and SIRT1. CONCLUSION According to the results, 13 common and 14 discriminatory central dysregulated proteins were determined for NAFLD and diabetes mellitus.
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Affiliation(s)
- Kourosh Saki
- Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Vahid Mansouri
- Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeed Abdi
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Fathi
- Critical Care Quality Improvement Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Razzaghi
- Laser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Mehrdad Haghazali
- Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
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Ghazizadeh H, Esmaily H, Sharifan P, Parizadeh SMR, Ferns GA, Rastgar-Moghadam A, Khedmatgozar H, Ghayour-Mobarhan M, Avan A. Interaction between a genetic variant in vascular endothelial growth factor with dietary intakes in association with the main factors of metabolic syndrome. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100813] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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Wang Q, Ren D, Bi Y, Yuan R, Li D, Wang J, Wang R, Zhang L, He G, Liu B. Association and functional study between ADIPOQ and metabolic syndrome in elderly Chinese Han population. Aging (Albany NY) 2020; 12:25819-25827. [PMID: 33232281 PMCID: PMC7803488 DOI: 10.18632/aging.104203] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 09/06/2020] [Indexed: 12/23/2022]
Abstract
Objective: Metabolic syndrome (MetS) is a cluster of health problems that places individuals at higher risk of developing cardiovascular disease, diabetes and stroke. The prevalence of MetS is increasing worldwide. It is also well accepted that genetic and environmental factors play significant roles in the occurrence/development of MetS, but studies exploring genetic factors are still lacking. Here, we aimed to investigate the association of ADIPOQ gene variants with MetS in an elderly Chinese Han population. Results: We found that the allelic frequencies of rs6773957 and rs3774261 were significantly different between MetS and the control (p = 0.031; p = 0.049). Furthermore, a reduction in luciferase activity was observed when HEK293T cells were transfected with rs6773957 mutant fragments compared with wild type. Conclusion: Our results suggest that rs6773957 and rs3774261 of ADIPOQ were associated with MetS in the elderly Chinese Han population. The functional assays performed indicate that the rs6773957 variant might be pathogenic and may provide evidence for mechanistic studies of MetS in the future. Methods: Four single nucleotide polymorphisms (SNPs) were selected and genotyped (rs6773957, rs182052, rs3774261 and rs17366568) in 1337 subjects, including 569 healthy controls and 768 MetS cases. The clinical characteristics of all the subjects were obtained and analyzed. Additionally, a functional study of rs6773957 in regulating the expression of ADIPOQ was performed in this study.
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Affiliation(s)
- Qiao Wang
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Decheng Ren
- Bio-X Institutes of Shanghai Jiao Tong University, Shanghai, China
| | - Yan Bi
- Bio-X Institutes of Shanghai Jiao Tong University, Shanghai, China
| | - Ruixue Yuan
- Bio-X Institutes of Shanghai Jiao Tong University, Shanghai, China
| | - Dong Li
- Zhangjiang Community Health Service Center of Pudong New, Shanghai, China
| | - Jianying Wang
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ruirui Wang
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Lei Zhang
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Guang He
- Bio-X Institutes of Shanghai Jiao Tong University, Shanghai, China
| | - Baocheng Liu
- Shanghai Innovation Center of Traditional Chinese Medicine Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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Ghazizadeh H, Mirinezhad SMR, Asadi Z, Parizadeh SM, Zare-Feyzabadi R, Shabani N, Eidi M, Mosa Farkhany E, Esmaily H, Mahmoudi AA, Mouhebati M, Oladi MR, Rohban M, Sharifan P, Yadegari M, Saeidi F, Ferns GA, Ghayour-Mobarhan M. Association between obesity categories with cardiovascular disease and its related risk factors in the MASHAD cohort study population. J Clin Lab Anal 2019; 34:e23160. [PMID: 31837061 PMCID: PMC7246371 DOI: 10.1002/jcla.23160] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 09/23/2019] [Accepted: 10/01/2019] [Indexed: 12/22/2022] Open
Abstract
Background Cardiovascular disease (CVD) is a significant cause of morbidity and mortality globally. Obesity is an important CVD risk factor and is increasing in prevalence. Methods In this study, 3829 men and 5720 women (35‐65 years) were enrolled as part of the MASHAD cohort study. Four categories were identified according to body mass index and waist circumference that was defined by the World Health Organization. Logistic regression analysis was used to determine the adjusted odds ratio (OR) for the occurrence of CVD, and Cox regression model was used to evaluate the association of obesity with CVD incidence. Results We found that the higher risk groups defined by categories of adiposity were significantly related to a higher prevalence of a high serum total cholesterol (TC), and triglycerides (TG), and lower high‐density lipoprotein cholesterol (HDL), and higher fasting blood glucose (FBG) in both genders and a higher low‐density lipoprotein cholesterol (LDL) in women (P < .001). Additionally, a high percentage of participants with dyslipidemia, high LDL, high TC, and low HDL and a high percentage of participants with metabolic syndrome, diabetes, hypertension, and a high serum TG were observed across obesity categories (P < .001). Moreover, women with the very high degrees of obesity had a greater risk of CVD (HR: 1.91, 95% CI: 1.06‐3.43, P = .03). Conclusion Obesity strongly predicts several CVD risk factors. Following 6 years of follow‐up, in individuals within increasing degrees of obesity, there was a corresponding significant increase in CVD events, rising to approximately a twofold higher risk of cardiovascular events in women compared with men.
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Affiliation(s)
- Hamideh Ghazizadeh
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.,Student Research Committee, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Zahra Asadi
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyed Mostafa Parizadeh
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Reza Zare-Feyzabadi
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Niloofar Shabani
- Department of Biostatistics & Epidemiology, School of Health, Management & Social Determinants of Health Research Center, Mashhad University of Medical sciences, Mashhad, Iran
| | - Marziyeh Eidi
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ehsan Mosa Farkhany
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Habibollah Esmaily
- Department of Biostatistics & Epidemiology, School of Health, Management & Social Determinants of Health Research Center, Mashhad University of Medical sciences, Mashhad, Iran
| | - Ali Asghar Mahmoudi
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohsen Mouhebati
- Cardiovascular Research Center, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohammad Reza Oladi
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohadeseh Rohban
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Payam Sharifan
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mehran Yadegari
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Fatemeh Saeidi
- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Gordon A Ferns
- Division of Medical Education, Brighton & Sussex Medical School, Falmer, Brighton, Sussex, UK
| | - Majid Ghayour-Mobarhan
- Metabolic Syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
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