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Nicchio IG, Cirelli T, Quil LCDC, Camilli AC, Scarel-Caminaga RM, Leite FRM. Understanding the peroxisome proliferator-activated receptor gamma (PPAR-γ) role in periodontitis and diabetes mellitus: A molecular perspective. Biochem Pharmacol 2025; 237:116908. [PMID: 40157459 DOI: 10.1016/j.bcp.2025.116908] [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: 12/12/2024] [Revised: 02/19/2025] [Accepted: 03/25/2025] [Indexed: 04/01/2025]
Abstract
Periodontitis and Type 2 Diabetes Mellitus (T2DM) are chronic conditions with dysregulated immune responses. Periodontitis involves immune dysfunction and dysbiotic biofilms, leading to tissue destruction. T2DM is marked by insulin resistance and systemic inflammation, driving metabolic and tissue damage. Both conditions share activation of key pathways, including Nuclear Factor Kappa B (NF-κB), Activator Protein-1 (AP-1), and Signal Transducer and Activator of Transcription (STAT) proteins, reinforcing an inflammatory feedback loop. This review highlights the role of Peroxisome Proliferator-Activated Receptor Gamma (PPAR-γ), a transcription factor central to lipid and glucose metabolism, adipogenesis, and immune regulation. PPAR-γ activation has been shown to suppress inflammatory mediators such as Tumor Necrosis Factor Alpha (TNF-α) and Interleukin 6 (IL-6) through the inhibition of NF-κB, AP-1, and STAT pathways, thereby potentially disrupting the inflammatory-metabolic cycle that drives both diseases. PPAR-γ agonists, including thiazolidinediones (TZDs) and endogenous ligands such as 15-deoxy-Δ12,14-prostaglandin J2 (15d-PGJ2), show promise in reducing inflammation and improving insulin sensitivity, but they are limited by adverse effects. Therapies, including Selective Peroxisome Proliferator-Activated Receptor Modulators (SPPARMs), have been developed to offer a more targeted approach, allowing for selective modulation of PPAR-γ activity to retain its anti-inflammatory benefits while minimizing their side effects. By integrating insights into PPAR-γ's molecular mechanisms, this review underscores its therapeutic potential in mitigating inflammation and enhancing metabolic control.
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Affiliation(s)
- Ingra Gagno Nicchio
- Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara 14801-903, SP, Brazil; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara 14801-903, SP, Brazil.
| | - Thamiris Cirelli
- Department of Dentistry, Centro Universitário das Faculdades Associadas, São João da Boa Vista 13870-377, SP, Brazil.
| | - Lucas César da Costa Quil
- Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara 14801-903, SP, Brazil; Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara 14801-903, SP, Brazil.
| | - Angelo Constantino Camilli
- Department of Diagnosis and Surgery, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara 14801-903, SP, Brazil.
| | - Raquel Mantuaneli Scarel-Caminaga
- Department of Morphology, Genetics, Orthodontics and Pediatric Dentistry, School of Dentistry at Araraquara, São Paulo State University-UNESP, Araraquara 14801-903, SP, Brazil.
| | - Fabio Renato Manzolli Leite
- National Dental Research Institute Singapore, National Dental Centre Singapore, 168938, Singapore; Oral Health Academic Clinical Programme, Duke-NUS Medical School, 169857, Singapore.
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Gong S, Lian H, Li Y, Cai X, Liu W, Luo Y, Li M, Zhang SM, Zhang R, Zhou L, Zhu Y, Ren Q, Zhang X, Chen J, Wu J, Zhou X, Wang X, Han X, Ji L. Exon Sequencing of HNF1β in Chinese Patients with Early-Onset Diabetes. Diabetes Metab J 2025; 49:321-330. [PMID: 39533813 PMCID: PMC11960207 DOI: 10.4093/dmj.2024.0159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Accepted: 07/24/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGRUOUND Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients. METHODS Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines. RESULTS Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher. CONCLUSION MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.
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Affiliation(s)
- Siqian Gong
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Hong Lian
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Yating Li
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Xiaoling Cai
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Wei Liu
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Yingying Luo
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Meng Li
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Si-min Zhang
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Rui Zhang
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Lingli Zhou
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Yu Zhu
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Qian Ren
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Xiuying Zhang
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Jing Chen
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Jing Wu
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Xianghai Zhou
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Xirui Wang
- Department of Endocrinology and Metabolism, Beijing Airport Hospital, Beijing, China
| | - Xueyao Han
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Peking University Diabetes Center, Beijing, China
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Wu CJ, Liu H, Tu LJ, Hu JY. Peroxisome proliferator-activated receptor gamma mutation in familial partial lipodystrophy type three: A case report and review of literature. World J Diabetes 2024; 15:2360-2369. [PMID: 39676812 PMCID: PMC11580599 DOI: 10.4239/wjd.v15.i12.2360] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2024] [Revised: 09/22/2024] [Accepted: 10/23/2024] [Indexed: 11/18/2024] Open
Abstract
BACKGROUND Familial partial lipodystrophy disease (FPLD) is a collection of rare genetic diseases featuring partial loss of adipose tissue. However, metabolic difficulties, such as severe insulin resistance, diabetes, hypertriglyceridemia, and hypertension frequently occur alongside adipose tissue loss, making it susceptible to misdiagnosis and delaying effective treatment. Numerous genes are implicated in the occurrence of FPLD, and genetic testing has been for conditions linked to single gene mutation related to FPLD. Reviewing recent reports, treatment of the disease is limited to preventing and improving complications in patients. CASE SUMMARY In 2017, a 31-year-old woman with diabetes, hypertension and hypertriglyceridemia was hospitalized. We identified a mutation in her peroxisome proliferator-activated receptor gamma (PPARG) gene, Y151C (p.Tyr151Cys), which results in a nucleotide substitution residue 452 in the DNA-binding domain (DBD) of PPARG. The unaffected family member did not carry this mutation. Pioglitazone, a PPARG agonist, improved the patient's responsiveness to hypoglycemic and antihypertensive therapy. After one year of treatment in our hospital, the fasting blood glucose and glycosylated hemoglobin of the patient were close to normal. CONCLUSION We report a rare PPARG mutation, Y151C, which is located in the DBD of PPARG and leads to FPLD, and the preferred agent is PPARG agonists. We then summarized clinical phenotypic characteristics of FPLD3 caused by PPARG gene mutations, and clarified the relationship between different mutations of PPARG gene and the clinical manifestations of this type of FPLD. Additionally, current treatments for FPLD caused by PPARG mutations are reviewed.
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Affiliation(s)
- Chao-Jun Wu
- Basic Medical College, Army Medical University, Chongqing 400038, China
| | - Hao Liu
- Basic Medical College, Army Medical University, Chongqing 400038, China
| | - Li-Juan Tu
- Department of Endocrinology, Rare Disease Center, The First Affiliated Hospital of Army Medical University, Chongqing 400038, China
| | - Jiong-Yu Hu
- Department of Endocrinology, Rare Disease Center, The First Affiliated Hospital of Army Medical University, Chongqing 400038, China
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Li WX, Xu LL, Liu CF, Dong BZ, Wang YY. Analysis of an adult diabetes mellitus caused by a rare mutation of the gene: A case report. World J Clin Cases 2024; 12:3942-3949. [PMID: 38994305 PMCID: PMC11235441 DOI: 10.12998/wjcc.v12.i19.3942] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 04/24/2024] [Accepted: 05/11/2024] [Indexed: 06/29/2024] Open
Abstract
BACKGROUND This study presents the clinical and genetic mutation characteristics of an unusual case of adult-onset diabetes mellitus occurring in adolescence, featuring a unique mutation in the peroxisome proliferator-activated receptor gamma (PPARG) gene. Data Access Statement: Research data supporting this publication are available from the NN repository at www.NNN.org/download/. CASE SUMMARY The methodology employed entailed meticulous collection of comprehensive clinical data from the probands and their respective family members. Additionally, high-throughput sequencing was conducted to analyze the PPARG genes of the patient, her siblings, and their offspring. The results of this investigation revealed that the patient initially exhibited elevated blood glucose levels during pregnancy, accompanied by insulin resistance and hypertriglyceridemia. Furthermore, these strains displayed increased susceptibility to diabetic kidney disease without any discernible aggregation patterns. The results from the gene detection process demonstrated a heterozygous mutation of guanine (G) at position 284 in the coding region of exon 2 of PPARG, which replaced the base adenine (A) (exon2c.284A>Gp.Tyr95Cys). This missense mutation resulted in the substitution of tyrosine with cysteine at the 95th position of the translated protein. Notably, both of her siblings harbored a nucleotide heterozygous variation at the same site, and both were diagnosed with diabetes. CONCLUSION The PPARG gene mutation, particularly the p.Tyr95Cys mutation, may represent a newly identified subtype of maturity-onset diabetes of the young. This subtype is characterized by insulin resistance and lipid metabolism disorders.
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Affiliation(s)
- Wen-Xuan Li
- Department of Endocrine and Metabolic Diseases, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China
| | - Li-Li Xu
- Department of Endocrine and Metabolic Diseases, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China
| | - Chuan-Feng Liu
- Department of Endocrine and Metabolic Diseases, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China
| | - Bing-Zi Dong
- Department of Endocrine and Metabolic Diseases, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China
| | - Yun-Yang Wang
- Department of Endocrine and Metabolic Diseases, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China
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Murphy R, Colclough K, Pollin TI, Ikle JM, Svalastoga P, Maloney KA, Saint-Martin C, Molnes J, Misra S, Aukrust I, de Franco E, Flanagan SE, Njølstad PR, Billings LK, Owen KR, Gloyn AL. The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion. COMMUNICATIONS MEDICINE 2023; 3:136. [PMID: 37794142 PMCID: PMC10550998 DOI: 10.1038/s43856-023-00369-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/21/2023] [Indexed: 10/06/2023] Open
Abstract
BACKGROUND Monogenic diabetes presents opportunities for precision medicine but is underdiagnosed. This review systematically assessed the evidence for (1) clinical criteria and (2) methods for genetic testing for monogenic diabetes, summarized resources for (3) considering a gene or (4) variant as causal for monogenic diabetes, provided expert recommendations for (5) reporting of results; and reviewed (6) next steps after monogenic diabetes diagnosis and (7) challenges in precision medicine field. METHODS Pubmed and Embase databases were searched (1990-2022) using inclusion/exclusion criteria for studies that sequenced one or more monogenic diabetes genes in at least 100 probands (Question 1), evaluated a non-obsolete genetic testing method to diagnose monogenic diabetes (Question 2). The risk of bias was assessed using the revised QUADAS-2 tool. Existing guidelines were summarized for questions 3-5, and review of studies for questions 6-7, supplemented by expert recommendations. Results were summarized in tables and informed recommendations for clinical practice. RESULTS There are 100, 32, 36, and 14 studies included for questions 1, 2, 6, and 7 respectively. On this basis, four recommendations for who to test and five on how to test for monogenic diabetes are provided. Existing guidelines for variant curation and gene-disease validity curation are summarized. Reporting by gene names is recommended as an alternative to the term MODY. Key steps after making a genetic diagnosis and major gaps in our current knowledge are highlighted. CONCLUSIONS We provide a synthesis of current evidence and expert opinion on how to use precision diagnostics to identify individuals with monogenic diabetes.
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Affiliation(s)
- Rinki Murphy
- Department of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.
- Auckland Diabetes Centre, Te Whatu Ora Health New Zealand, Te Tokai Tumai, Auckland, New Zealand.
| | - Kevin Colclough
- Exeter Genomics Laboratory, Royal Devon University Healthcare NHS Foundation Trust, Exeter, United Kingdom
| | - Toni I Pollin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Jennifer M Ikle
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA
| | - Pernille Svalastoga
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Kristin A Maloney
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Cécile Saint-Martin
- Department of Medical Genetics, AP-HP Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
| | - Janne Molnes
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Shivani Misra
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- Department of Diabetes and Endocrinology, Imperial College Healthcare NHS Trust, London, UK
| | - Ingvild Aukrust
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Medical Genetics, Haukeland University Hospital, Bergen, Norway
| | - Elisa de Franco
- Department of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Sarah E Flanagan
- Department of Clinical and Biomedical Science, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Pål R Njølstad
- Children and Youth Clinic, Haukeland University Hospital, Bergen, Norway
- Mohn Center for Diabetes Precision Medicine, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Liana K Billings
- Division of Endocrinology, NorthShore University HealthSystem, Skokie, IL, USA
- Department of Medicine, Pritzker School of Medicine, University of Chicago, Chicago, IL, USA
| | - Katharine R Owen
- Oxford Center for Diabetes, Endocrinology & Metabolism, University of Oxford, Oxford, UK
- NIHR Oxford Biomedical Research Centre, Oxford, UK
| | - Anna L Gloyn
- Department of Pediatrics, Division of Endocrinology & Diabetes, Stanford School of Medicine, Stanford, CA, USA.
- Stanford Diabetes Research Center, Stanford School of Medicine, Stanford, CA, USA.
- Department of Genetics, Stanford School of Medicine, Stanford, CA, USA.
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Shi P, Shi Y, Liu X, Wang S, Yuan J, Zhao W, Fang L, Wang R, Yan F, Xu C. Identification and Characteristics of Novel Mutations in Nonsyndromic Monogenic Obesity. Adv Biol (Weinh) 2023; 7:e2300061. [PMID: 37083215 DOI: 10.1002/adbi.202300061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/22/2023] [Indexed: 04/22/2023]
Abstract
Nonsyndromic monogenic obesity (NSMO) is a class of individual obesity that is independent of the environment and caused by a single gene mutation. It is mostly caused by mutations in LEP, LEPR, PCSK1, as well as some rare mutations in UCP3, NR0B2, and PPARG. Among 30 obesity patients, five patients are identified with positive gene detection. For the first time, the c.624C>T mutation associated with PCSK1, and the c.50G>A and c.293_301delinsAC mutations associated with NR0B2, as well as the obesity phenotype mutation (c.284A>G) associated with PPARG is confirmed. Following this, the genotype-clinical phenotype, mutation hotspots, and mutation distributions of each gene are summarized, and the genetic characteristics of NSMO are analyzed. The locations of mutation c.50G>A, and c.284A>G are highly conserved according to the sequencing alignment. According to the findings, the c.624C>T mutation in PCSK1 is a newly discovered synonymous mutation, but it can result in significant early-onset obesity. Additionally, the mutation of c.284A>G(PPARG) can lead to a variety of clinical phenotypes and the mutation of UCP3 and NR0B2 may increase the risk of type 2 diabetes mellitus. This study enriches the human NSMO gene mutation database and provides a scientific basis for clinically accurate diagnosis and treatment.
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Affiliation(s)
- Ping Shi
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
- Shandong Provincial Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, 250021, China
| | - Yingzhou Shi
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
- Shandong Provincial Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, 250021, China
| | - Xin Liu
- Department of Endocrinology and Metabolism, Dongying People's Hospital, Dongying, 257091, China
| | - Shuping Wang
- Department of Endocrinology and Metabolism, Dongying People's Hospital, Dongying, 257091, China
| | - Jiaxin Yuan
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
- Shandong Provincial Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, 250021, China
| | - Wanyi Zhao
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
- Shandong Provincial Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, 250021, China
| | - Li Fang
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
- Shandong Provincial Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, 250021, China
| | - Runbo Wang
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
- Shandong Provincial Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, 250021, China
| | - Fang Yan
- Department of Pain Management, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
| | - Chao Xu
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong First Medical University, Jinan, Shandong, 250021, China
- Department of Endocrinology, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, 250021, China
- Shandong Provincial Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, 250021, China
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Song Y, Li S, He C. PPARγ Gene Polymorphisms, Metabolic Disorders, and Coronary Artery Disease. Front Cardiovasc Med 2022; 9:808929. [PMID: 35402540 PMCID: PMC8984027 DOI: 10.3389/fcvm.2022.808929] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 02/22/2022] [Indexed: 01/14/2023] Open
Abstract
Being activated by endogenous and exogenous ligands, nuclear receptor peroxisome proliferator-activated receptor gamma (PPARγ) enhances insulin sensitivity, promotes adipocyte differentiation, stimulates adipogenesis, and has the properties of anti-atherosclerosis, anti-inflammation, and anti-oxidation. The Human PPARγ gene (PPARG) contains thousands of polymorphic loci, among them two polymorphisms (rs10865710 and rs7649970) in the promoter region and two polymorphisms (rs1801282 and rs3856806) in the exonic region were widely reported to be significantly associated with coronary artery disease (CAD). Mechanistically, PPARG polymorphisms lead to abnormal expression of PPARG gene and/or dysfunction of PPARγ protein, causing metabolic disorders such as hypercholesterolemia and hypertriglyceridemia, and thereby increasing susceptibility to CAD.
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Affiliation(s)
- Yongyan Song
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, China
| | - Shujin Li
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, China
| | - Chuan He
- Department of Cardiology, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, China
- *Correspondence: Chuan He,
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