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Yu M, Feng Y, Yan J, Zhang X, Tian Z, Wang T, Wang J, Shen W. Transcriptomic regulatory analysis of skeletal muscle development in landrace pigs. Gene 2024; 915:148407. [PMID: 38531491 DOI: 10.1016/j.gene.2024.148407] [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: 10/17/2023] [Revised: 12/28/2023] [Accepted: 03/21/2024] [Indexed: 03/28/2024]
Abstract
The development of pig skeletal muscle is a complex dynamic regulation process, which mainly includes the formation of primary and secondary muscle fibers, the remodeling of muscle fibers, and the maturation of skeletal muscle; However, the regulatory mechanism of the entire developmental process remains unclear. This study analyzed the whole-transcriptome data of skeletal muscles at 27 developmental nodes (E33-D180) in Landrace pigs, and their key regulatory factors in the development process were identified using the bioinformatics method. Firstly, we constructed a transcriptome expression map of skeletal muscle development from embryo to adulthood in Landrace pig. Subsequently, due to drastic change in gene expression, the perinatal periods including E105, D0 and D9, were focused, and the genes related to the process of muscle fiber remodeling and volume expansion were revealed. Then, though conjoint analysis with miRNA and lncRNA transcripts, a ceRNA network were identified, which consist of 11 key regulatory genes (such as CHAC1, RTN4IP1 and SESN1), 7 miRNAs and 43 lncRNAs, and they potentially play an important role in the process of muscle fiber differentiation, muscle fiber remodeling and volume expansion, intramuscular fat deposition, and other skeletal muscle developmental events. In summary, we reveal candidate genes and underlying molecular regulatory networks associated with perinatal skeletal muscle fiber type remodeling and expansion. These data provide new insights into the molecular regulation of mammalian skeletal muscle development and diversity.
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Affiliation(s)
- Mubin Yu
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Yanqin Feng
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Jiamao Yan
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Xiaoyuan Zhang
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Zhe Tian
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Tao Wang
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Junjie Wang
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China.
| | - Wei Shen
- Key Laboratory of Animal Reproduction and Biotechnology in Universities of Shandong, College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China.
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Saluja S, Lennon R. Exploring novel therapeutic opportunities for hypertension: a paradigm-shifting approach via integrative multiomic analysis, pioneering the path to precision medicine. J Hypertens 2024; 42:1147-1149. [PMID: 38818837 DOI: 10.1097/hjh.0000000000003738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Affiliation(s)
- Sushant Saluja
- Division of Cardiovascular Sciences, Faculty of Biology, Medicine and Health, The University of Manchester
- Division of Medicine and Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust Manchester
| | - Rachel Lennon
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
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3
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Nkeh YB, Elgin RG, Saher G. From the unknown to spotlight: newly identified hormone adjusts hepatic cholesterol synthesis to dietary uptake. Signal Transduct Target Ther 2024; 9:165. [PMID: 38909021 PMCID: PMC11193724 DOI: 10.1038/s41392-024-01882-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/13/2024] [Accepted: 05/20/2024] [Indexed: 06/24/2024] Open
Affiliation(s)
- Yakum Bertrand Nkeh
- Project Group Biology of Lipids, Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Resul Gökberk Elgin
- Project Group Biology of Lipids, Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Gesine Saher
- Project Group Biology of Lipids, Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
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4
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Li J, Li W, Li L, Yang S, Zhao G, Li K. Association between blood groups and myocardial injury after non-cardiac surgery: a retrospective cohort study. Sci Rep 2024; 14:14028. [PMID: 38890319 PMCID: PMC11189574 DOI: 10.1038/s41598-024-61546-w] [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: 10/29/2023] [Accepted: 05/07/2024] [Indexed: 06/20/2024] Open
Abstract
Blood group is a potential genetic element in coronary artery disease. Nevertheless, the relationship between different ABO blood groups and myocardial injury after non-cardiac surgery (MINS) is poorly understood. This study verified whether ABO blood group is a potential MINS influencing factor. This retrospective cohort study included 1201 patients who underwent elective non-cardiac surgery and a mandatory troponin test on postoperative days 1 and 2 from 2019 to 2020 at a university-affiliated tertiary hospital. The primary outcome was associations between ABO blood groups and MINS, assessed using univariate and multivariate logistic-regression analyses. Path analysis was used to investigate direct and indirect effects between blood group and MINS. MINS incidence (102/1201, 8.5%) was higher in blood-type B patients than in non-B patients [blood-type B: 44/400 (11.0%) vs. non-B: 58/801 (7.2%); adjusted odds ratio = 1.57 (1.03-2.38); p = 0.036]. In the confounding factor model, preoperative hypertension and coronary artery disease medical history were associated with MINS risk [adjusted odds ratio: 2.00 (1.30-3.06), p = 0.002; 2.81 (1.71-4.61), p < 0.001, respectively]. Path analysis did not uncover any mediating role for hypertension, diabetes, or coronary artery disease between blood type and MINS. Therefore, blood-type B is associated with higher MINS risk; potential mediators of this association need to be investigated.
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Affiliation(s)
- Jinze Li
- Department of Anesthesiology, China-Japan Union Hospital, Jilin University, 126th Xiantai Avenue, Changchun, 130033, China
- Department of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Wangyu Li
- Department of Pain Management, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Longyun Li
- Department of Anesthesiology, China-Japan Union Hospital, Jilin University, 126th Xiantai Avenue, Changchun, 130033, China
| | - Shengze Yang
- College of Anesthesiology, Xuzhou Medical University, Jiangsu Provincial Key Laboratory of Anesthesia and Analgesia, Xuzhou, China
| | - Guoqing Zhao
- Department of Anesthesiology, China-Japan Union Hospital, Jilin University, 126th Xiantai Avenue, Changchun, 130033, China.
- Jilin University, Changchun, China.
| | - Kai Li
- Department of Anesthesiology, China-Japan Union Hospital, Jilin University, 126th Xiantai Avenue, Changchun, 130033, China.
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Dutka M, Zimmer K, Ćwiertnia M, Ilczak T, Bobiński R. The role of PCSK9 in heart failure and other cardiovascular diseases-mechanisms of action beyond its effect on LDL cholesterol. Heart Fail Rev 2024:10.1007/s10741-024-10409-7. [PMID: 38886277 DOI: 10.1007/s10741-024-10409-7] [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] [Accepted: 06/11/2024] [Indexed: 06/20/2024]
Abstract
Proprotein convertase subtilisin/kexin type-9 (PCSK9) is a protein that regulates low-density lipoprotein (LDL) cholesterol metabolism by binding to the hepatic LDL receptor (LDLR), ultimately leading to its lysosomal degradation and an increase in LDL cholesterol (LDLc) levels. Treatment strategies have been developed based on blocking PCSK9 with specific antibodies (alirocumab, evolocumab) and on blocking its production with small regulatory RNA (siRNA) (inclisiran). Clinical trials evaluating these drugs have confirmed their high efficacy in reducing serum LDLc levels and improving the prognosis in patients with atherosclerotic cardiovascular diseases. Most studies have focused on the action of PCSK9 on LDLRs and the subsequent increase in LDLc concentrations. Increasing evidence suggests that the adverse cardiovascular effects of PCSK9, particularly its atherosclerotic effects on the vascular wall, may also result from mechanisms independent of its effects on lipid metabolism. PCSK9 induces the expression of pro-inflammatory cytokines contributing to inflammation within the vascular wall and promotes apoptosis, pyroptosis, and ferroptosis of cardiomyocytes and is thus involved in the development and progression of heart failure. The elimination of PCSK9 may, therefore, not only be a treatment for hypercholesterolaemia but also for atherosclerosis and other cardiovascular diseases. The mechanisms of action of PCSK9 in the cardiovascular system are not yet fully understood. This article reviews the current understanding of the mechanisms of PCSK9 action in the cardiovascular system and its contribution to cardiovascular diseases. Knowledge of these mechanisms may contribute to the wider use of PCSK9 inhibitors in the treatment of cardiovascular diseases.
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Affiliation(s)
- Mieczysław Dutka
- Department of Biochemistry and Molecular Biology, Faculty of Health Sciences, University of Bielsko-Biala, Willowa St. 2, 43-309, Bielsko-Biała, Poland.
| | - Karolina Zimmer
- Department of Biochemistry and Molecular Biology, Faculty of Health Sciences, University of Bielsko-Biala, Willowa St. 2, 43-309, Bielsko-Biała, Poland
| | - Michał Ćwiertnia
- Department of Emergency Medicine, Faculty of Health Sciences, University of Bielsko-Biala, 43-309, Bielsko-Biała, Poland
| | - Tomasz Ilczak
- Department of Emergency Medicine, Faculty of Health Sciences, University of Bielsko-Biala, 43-309, Bielsko-Biała, Poland
| | - Rafał Bobiński
- Department of Biochemistry and Molecular Biology, Faculty of Health Sciences, University of Bielsko-Biala, Willowa St. 2, 43-309, Bielsko-Biała, Poland
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Kim JH, Simpkins MA, Williams NT, Cimino E, Simon J, Richmond TR, Youther J, Slutz H, Denvir J. Tachol1 QTL on mouse chromosome 1 is responsible for hypercholesterolemia and diet-induced obesity. Mamm Genome 2024:10.1007/s00335-024-10045-4. [PMID: 38837040 DOI: 10.1007/s00335-024-10045-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/19/2024] [Indexed: 06/06/2024]
Abstract
Hypercholesterolemia raises the risk for cardiovascular complications and overall health. Hypercholesterolemia is common, affecting 10% of the general population of the US, and heritable. Most individuals with hypercholesterolemia have a polygenic predisposition to the condition. Previously we identified a quantitative trait locus, Tachol1, linked to hypercholesterolemia on mouse chromosome 1 (Chr1) in a cross between C57BL/6J (B6) and TALLYHO/JngJ (TH) mice, a polygenic model for human obesity, type 2 diabetes and hyperlipidemia. Subsequently, using congenic mice that carry a TH-derived genomic segment of Chr1 on a B6 background, we demonstrated that the distal segment of Chr1, where Tachol1 maps, is necessary to cause hypercholesterolemia, as well as diet-induced obesity. In this study, we generated overlapping subcongenic lines to the distal segment of congenic region and characterized subcongenic mice carrying the smallest TH region of Tachol1, ~ 16.2 Mb in size (B6.TH-Chr1-16.2 Mb). Both male and female B6.TH-Chr1-16.2 Mb mice showed a significantly increased plasma total cholesterol levels compared to B6 on both chow and high fat (HF) diet. B6.TH-Chr1-16.2 Mb mice also had greater fat mass than B6 on HF diet, without increasing food intake. The gene and protein expression levels of absent in melanoma 2 (Aim2) gene were significantly upregulated in B6.TH-Chr1-16.2 Mb mice compared to B6. In summary, we confirmed the effect of Tachol1 on hypercholesterolemia and diet-induced obesity using subcongenic analysis.
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Affiliation(s)
- Jung Han Kim
- Department of Biomedical Sciences Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave. BBSC #435K, Huntington, WV, 25755, USA.
| | - Marvin A Simpkins
- Department of Biomedical Sciences Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave. BBSC #435K, Huntington, WV, 25755, USA
| | - Nicholas T Williams
- Department of Biomedical Sciences Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave. BBSC #435K, Huntington, WV, 25755, USA
| | - Emma Cimino
- Department of Biomedical Sciences Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave. BBSC #435K, Huntington, WV, 25755, USA
| | - Jadyn Simon
- Department of Biomedical Sciences Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave. BBSC #435K, Huntington, WV, 25755, USA
| | - Tanner R Richmond
- Department of Biomedical Sciences Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave. BBSC #435K, Huntington, WV, 25755, USA
| | - Jared Youther
- Department of Biomedical Sciences Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave. BBSC #435K, Huntington, WV, 25755, USA
| | - Hannah Slutz
- Department of Biomedical Sciences Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave. BBSC #435K, Huntington, WV, 25755, USA
| | - James Denvir
- Department of Biomedical Sciences Joan C. Edwards School of Medicine, Marshall University, 1700 3rd Ave. BBSC #435K, Huntington, WV, 25755, USA
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Barreto P, Farinha C, Coimbra R, Cachulo ML, Melo JB, Lechanteur Y, Hoyng CB, Cunha-Vaz J, Silva R. Unveiling Statins and Genetics in Age-Related Macular Degeneration: The Coimbra Eye Study-Report 9. Invest Ophthalmol Vis Sci 2024; 65:38. [PMID: 38935028 PMCID: PMC11216251 DOI: 10.1167/iovs.65.6.38] [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: 01/25/2024] [Accepted: 06/01/2024] [Indexed: 06/28/2024] Open
Abstract
Purpose To assess the association of age-related macular degeneration (AMD) progression and statins, connected with AMD genetic risk, and if there is an interplay between statins and genetics. Methods In this analysis, 682 subjects made two visits (6.5-year follow-up) of the Coimbra Eye Study. Subjects who started taking statins at any time point between the two visits were considered. Progressors were defined as not having AMD at baseline and having any AMD at follow-up. Genetic risk scores (GRSs) were calculated individually with 52 independent variants associated with AMD. Time to progression was estimated using unadjusted Kaplan-Meier curves. An extended Cox model was used for the association between statins and GRS with the risk for AMD progression. Multiplicative and additive interactions were assessed. Results Median survival time was 7.50 years for subjects not taking statins and 7.62 for subjects taking statins (P < 0.001). Statin intake reduced the risk for progression to AMD in 48%, adjusting for age, sex, body mass index, smoking, and diabetes (model 1) and GRS (model 2). The combined effects of not taking statins and having high GRS increased the progression risk fourfold compared to taking statins and having low GRS (hazard ratio [HR] = 4.25; 95% confidence interval [CI], 1.62-11.16; P = 0.003). For subjects not taking statins, an increased risk of progression was found for those subjects with high GRS compared to subjects with low GRS (HR = 1.80; 95% CI, 1.13-2.85; P = 0.013). No statistically significant multiplicative or additive interactions were found. Conclusions Statins seem to be protective against AMD progression, and genetics may play a role in treatment response.
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Affiliation(s)
- Patrícia Barreto
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
- Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
| | - Cláudia Farinha
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
- Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Ophthalmology Department, Coimbra Hospital and University Center (CHUC), Coimbra, Portugal
- Faculty of Medicine, Clinical Academic Center of Coimbra (CACC), University of Coimbra, Portugal
| | - Rita Coimbra
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
- Department of Mathematics, University of Aveiro, Aveiro, Portugal
| | - Maria Luz Cachulo
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
- Ophthalmology Department, Coimbra Hospital and University Center (CHUC), Coimbra, Portugal
- Faculty of Medicine, Clinical Academic Center of Coimbra (CACC), University of Coimbra, Portugal
| | - Joana Barbosa Melo
- Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Cytogenetics and Genomics Laboratory, Clinical Academic Center of Coimbra (CACC), Faculty of Medicine, University of Coimbra, Portugal
- Faculty of Medicine, Center of Investigation in Environment, Genetics and Oncobiology (CIMAGO), University of Coimbra, Coimbra, Portugal
| | - Yara Lechanteur
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Carel B. Hoyng
- Department of Ophthalmology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - José Cunha-Vaz
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
| | - Rufino Silva
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), Coimbra, Portugal
- Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, Coimbra, Portugal
- Centre for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, Coimbra, Portugal
- Ophthalmology Department, Coimbra Hospital and University Center (CHUC), Coimbra, Portugal
- Faculty of Medicine, Clinical Academic Center of Coimbra (CACC), University of Coimbra, Portugal
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8
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Filtz A, Parihar S, Greenberg GS, Park CM, Scotti A, Lorenzatti D, Badimon JJ, Soffer DE, Toth PP, Lavie CJ, Bittner V, Virani SS, Slipczuk L. New approaches to triglyceride reduction: Is there any hope left? Am J Prev Cardiol 2024; 18:100648. [PMID: 38584606 PMCID: PMC10998004 DOI: 10.1016/j.ajpc.2024.100648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 02/29/2024] [Accepted: 03/09/2024] [Indexed: 04/09/2024] Open
Abstract
Triglycerides play a crucial role in the efficient storage of energy in the body. Mild and moderate hypertriglyceridemia (HTG) is a heterogeneous disorder with significant association with atherosclerotic cardiovascular disease (ASCVD), including myocardial infarction, ischemic stroke, and peripheral artery disease and represents an important component of the residual ASCVD risk in statin treated patients despite optimal low-density lipoprotein cholesterol reduction. Individuals with severe HTG (>1,000 mg/dL) rarely develop atherosclerosis but have an incremental incidence of acute pancreatitis with significant morbidity and mortality. HTG can occur from a combination of genetic (both mono and polygenic) and environmental factors including poor diet, low physical activity, obesity, medications, and diseases like insulin resistance and other endocrine pathologies. HTG represents a potential target for ASCVD risk and pancreatitis risk reduction, however data on ASCVD reduction by treating HTG is still lacking and HTG-associated acute pancreatitis occurs too rarely to effectively demonstrate treatment benefit. In this review, we address the key aspects of HTG pathophysiology and examine the mechanisms and background of current and emerging therapies in the management of HTG.
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Affiliation(s)
- Annalisa Filtz
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
- IRCCS Ca' Granda Ospedale Maggiore Policlinico, Università degli Studi di Milano, Milan, Italy
| | - Siddhant Parihar
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Garred S Greenberg
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Christine M Park
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Andrea Scotti
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Daniel Lorenzatti
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Juan J Badimon
- Cardiology Department, Hospital General Jaen, Jaen, Spain
- Atherothrombosis Research Unit, Mount Sinai School of Medicine, New York, New York, USA
| | - Daniel E Soffer
- Department of Internal Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Peter P Toth
- CGH Medical Center, Sterling, Illinois
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Carl J Lavie
- John Ochsner Heart and Vascular Institute, Ochsner Clinical School-the UQ School of Medicine, New Orleans, Louisiana, USA
| | - Vera Bittner
- Division of Cardiovascular Disease, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Salim S Virani
- Section of Cardiology, Department of Medicine, The Aga Khan University, Karachi, Pakistan
- Section of Cardiology, Texas Heart Institute & Baylor College of Medicine, Houston, TX, USA
| | - Leandro Slipczuk
- Cardiology Division, Montefiore-Einstein Center for Heart and Vascular Care, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA
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Zhang Y, Wang M, Li Z, Yang X, Li K, Xie A, Dong F, Wang S, Yan J, Liu J. An overview of detecting gene-trait associations by integrating GWAS summary statistics and eQTLs. SCIENCE CHINA. LIFE SCIENCES 2024; 67:1133-1154. [PMID: 38568343 DOI: 10.1007/s11427-023-2522-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 01/29/2024] [Indexed: 06/07/2024]
Abstract
Detecting genes that affect specific traits (such as human diseases and crop yields) is important for treating complex diseases and improving crop quality. A genome-wide association study (GWAS) provides new insights and directions for understanding complex traits by identifying important single nucleotide polymorphisms. Many GWAS summary statistics data related to various complex traits have been gathered recently. Studies have shown that GWAS risk loci and expression quantitative trait loci (eQTLs) often have a lot of overlaps, which makes gene expression gradually become an important intermediary to reveal the regulatory role of GWAS. In this review, we review three types of gene-trait association detection methods of integrating GWAS summary statistics and eQTLs data, namely colocalization methods, transcriptome-wide association study-oriented approaches, and Mendelian randomization-related methods. At the theoretical level, we discussed the differences, relationships, advantages, and disadvantages of various algorithms in the three kinds of gene-trait association detection methods. To further discuss the performance of various methods, we summarize the significant gene sets that influence high-density lipoprotein, low-density lipoprotein, total cholesterol, and triglyceride reported in 16 studies. We discuss the performance of various algorithms using the datasets of the four lipid traits. The advantages and limitations of various algorithms are analyzed based on experimental results, and we suggest directions for follow-up studies on detecting gene-trait associations.
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Affiliation(s)
- Yang Zhang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Key Laboratory of Smart Farming for Agricultural Animals, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Mengyao Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Key Laboratory of Smart Farming for Agricultural Animals, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Zhenguo Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Key Laboratory of Smart Farming for Agricultural Animals, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Xuan Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Key Laboratory of Smart Farming for Agricultural Animals, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Keqin Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Key Laboratory of Smart Farming for Agricultural Animals, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Ao Xie
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
- Key Laboratory of Smart Farming for Agricultural Animals, Huazhong Agricultural University, Wuhan, 430070, China
- Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Fang Dong
- College of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Shihan Wang
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jianxiao Liu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
- Key Laboratory of Smart Farming for Agricultural Animals, Huazhong Agricultural University, Wuhan, 430070, China.
- Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan, 430070, China.
- College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
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Jeenduang N, Horpet D, Plyduang T, Nuinoon M. Association of thalassemia, hemoglobinopathies, and vitamin D levels with lipid profile in adults: Community-based research in southern Thai population. Heliyon 2024; 10:e31374. [PMID: 38813217 PMCID: PMC11133901 DOI: 10.1016/j.heliyon.2024.e31374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 05/10/2024] [Accepted: 05/15/2024] [Indexed: 05/31/2024] Open
Abstract
This study explored the frequency of lipid-lowering drug use in the thalassemia population and investigated the association of thalassemia, hemoglobinopathies, and serum 25(OH)D levels with lipid profile and red blood cell parameters. A combination of cross-sectional and community-based studies was conducted with 615 participants from the southern Thai population. Thalassemia and hemoglobinopathies were diagnosed using hemoglobin analysis and polymerase chain reaction-based methods to genotype globin genes. Biochemical parameters such as lipid profile, fasting blood sugar (FBS), and serum 25(OH)D levels were assessed using standard enzymatic methods and electrochemiluminescence immunoassays. Differences in the means of hematological and biochemical parameters between the thalassemia and non-thalassemia groups were compared and analyzed. A significantly lower frequency of lipid-lowering drug use was observed in the thalassemia group. Thalassemia, with clearly defined abnormalities in red blood cells, is associated with a 4.72-fold decreased risk of taking lipid-lowering drugs. Among thalassemia participants, the total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels were significantly lower than those in non-thalassemia participants. The prevalence of hypovitaminosis D in carriers of thalassemia and/or hemoglobinopathies in the southern Thai population was 53 % in females and 21 % in males. The highest lipid profile was observed in samples without thalassemia and hypovitaminosis D. The genetics of thalassemia and hemoglobinopathies with obviously abnormal red blood cells could explain the variable lipid levels, in addition to lipid metabolism-related genes and environmental factors. However, the effect of thalassemia on lipid levels in each population may differ according to its prevalence. A larger sample size is required to confirm this association, especially in countries with a high prevalence of thalassemia.
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Affiliation(s)
- Nutjaree Jeenduang
- School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand
- Food Technology and Innovation Research Center of Excellence, Walailak University, Nakhon Si Thammarat, Thailand
| | - Dararat Horpet
- Center for Scientific and Technological Equipment, Walailak University, Nakhon Si Thammarat, Thailand
| | - Thunyaluk Plyduang
- Center for Scientific and Technological Equipment, Walailak University, Nakhon Si Thammarat, Thailand
| | - Manit Nuinoon
- School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand
- Hematology and Transfusion Science Research Center, Walailak University, Nakhon Si Thammarat, Thailand
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11
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Lin L, Kiryakos J, Ammous F, Ratliff SM, Ware EB, Faul JD, Kardia SLR, Zhao W, Birditt KS, Smith JA. Epigenetic age acceleration is associated with blood lipid levels in a multi-ancestry sample of older U.S. adults. BMC Med Genomics 2024; 17:146. [PMID: 38802805 PMCID: PMC11129464 DOI: 10.1186/s12920-024-01914-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Accepted: 05/16/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Dyslipidemia, which is characterized by an unfavorable lipid profile, is a key risk factor for cardiovascular disease (CVD). Understanding the relationships between epigenetic aging and lipid levels may help guide early prevention and treatment efforts for dyslipidemia. METHODS We used weighted linear regression to cross-sectionally investigate the associations between five measures of epigenetic age acceleration estimated from whole blood DNA methylation (HorvathAge Acceleration, HannumAge Acceleration, PhenoAge Acceleration, GrimAge Acceleration, and DunedinPACE) and four blood lipid measures (total cholesterol (TC), LDL-C, HDL-C, and triglycerides (TG)) in 3,813 participants (mean age = 70 years) from the Health and Retirement Study (HRS). As a sensitivity analysis, we examined the same associations in participants who fasted prior to the blood draw (n = 2,531) and in participants who did not take lipid-lowering medication (n = 1,869). Using interaction models, we also examined whether demographic factors including age, sex, and educational attainment modified the relationships between epigenetic age acceleration and blood lipids. RESULTS After adjusting for age, race/ethnicity, sex, fasting status, and lipid-lowering medication use, greater epigenetic age acceleration was associated with lower TC, HDL-C, and LDL-C, and higher TG (p < 0.05), although the effect sizes were relatively small (e.g., < 7 mg/dL of TC per standard deviation in epigenetic age acceleration). GrimAge acceleration and DunedinPACE associations with all lipids remained significant after further adjustment for body mass index, smoking status, and educational attainment. These associations were stronger in participants who fasted and who did not use lipid-lowering medication, particularly for LDL-C. We observed the largest number of interactions between DunedinPACE and demographic factors, where the associations with lipids were stronger in younger participants, females, and those with higher educational attainment. CONCLUSION Multiple measures of epigenetic age acceleration are associated with blood lipid levels in older adults. A greater understanding of how these associations differ across demographic groups can help shed light on the relationships between aging and downstream cardiovascular diseases. The inverse associations between epigenetic age and TC and LDL-C could be due to sample limitations or non-linear relationships between age and these lipids, as both TC and LDL-C decrease faster at older ages.
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Affiliation(s)
- Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Jenna Kiryakos
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Farah Ammous
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Erin B Ware
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Kira S Birditt
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
- Survey Research Center, Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, MI, 48104, USA.
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12
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Downie CG, Highland HM, Alotaibi M, Welch BM, Howard AG, Cheng S, Miller N, Jain M, Kaplan RC, Lilly AG, Long T, Sofer T, Thyagarajan B, Yu B, North KE, Avery CL. Genome-wide association study reveals shared and distinct genetic architecture underlying fatty acid and bioactive oxylipin metabolites in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.21.24307719. [PMID: 38826448 PMCID: PMC11142272 DOI: 10.1101/2024.05.21.24307719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
Bioactive fatty acid-derived oxylipin molecules play key roles in mediating inflammation and oxidative stress, which underlie many chronic diseases. Circulating levels of fatty acids and oxylipins are influenced by both environmental and genetic factors; characterizing the genetic architecture of bioactive lipids could yield new insights into underlying biological pathways. Thus, we performed a genome wide association study (GWAS) of n=81 fatty acids and oxylipins in n=11,584 Hispanic Community Health Study/Study of Latinos (HCHS/SOL) participants with genetic and lipidomic data measured at study baseline (58.6% female, mean age = 46.1 years, standard deviation = 13.8 years). Additionally, given the effects of central obesity on inflammation, we examined interactions with waist circumference using two-degree-of-freedom joint tests. Heritability estimates ranged from 0% to 47.9%, and 48 of the 81oxylipins and fatty acids were significantly heritable. Moreover, 40 (49.4%) of the 81 oxylipins and fatty acids had at least one genome-wide significant (p< 6.94E-11) variant resulting in 19 independent genetic loci involved in fatty acid and oxylipin synthesis, as well as downstream pathways. Four loci (lead variant minor allele frequency [MAF] range: 0.08-0.50), including the desaturase-encoding FADS and the OATP1B1 transporter protein-encoding SLCO1B1, exhibited associations with four or more fatty acids and oxylipins. The majority of the 15 remaining loci (87.5%) (lead variant MAF range = 0.03-0.45, mean = 0.23) were only associated with one oxylipin or fatty acid, demonstrating evidence of distinct genetic effects. Finally, while most loci identified in two-degree-of-freedom tests were previously identified in our main effects analyses, we also identified an additional rare variant (MAF = 0.002) near CARS2, a locus previously implicated in inflammation. Our analyses revealed shared and distinct genetic architecture underlying fatty acids and oxylipins, providing insights into genetic factors and motivating future multi-omics work to characterize these compounds and elucidate their roles in disease pathways.
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Affiliation(s)
- Carolina G Downie
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Heather M Highland
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Mona Alotaibi
- Division of Pulmonary, Critical Care and Sleep Medicine, University of California, San Diego, San Diego, CA
| | - Barrett M Welch
- School of Public Health, University of Nevada, Reno, Reno, NV
| | - Annie Green Howard
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Susan Cheng
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | - Mohit Jain
- Sapient Bioanalytics, San Diego, CA
- Departments of Medicine and Pharmacology, University of California, San Diego, San Diego, CA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY; Public Health Sciences Division, Fred Hutchison Cancer Center, Seattle, WA
| | - Adam G Lilly
- Department of Sociology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Tao Long
- Sapient Bioanalytics, San Diego, CA
| | - Tamar Sofer
- CardioVascular Institute (CVI), Beth Israel Deaconess Medical Center, Boston, MA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota Medical Center, Minneapolis, MN
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston School of Public Health, Houston, TX
| | - Kari E North
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Christy L Avery
- Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC
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13
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Yuan C, Shu X, Hu Z, Jie Z. Genetic prediction of the relationship between metabolic syndrome and colorectal cancer risk: a Mendelian randomization study. Diabetol Metab Syndr 2024; 16:109. [PMID: 38773583 PMCID: PMC11110320 DOI: 10.1186/s13098-024-01351-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 05/15/2024] [Indexed: 05/24/2024] Open
Abstract
BACKGROUND Despite a growing body of observational studies indicating a potential link between metabolic syndrome and colorectal cancer, a definitive causal relationship has yet to be established. This study aimed to elucidate the causal relationship between metabolic syndrome and colorectal cancer through Mendelian randomization. METHODS We screened for instrumental variables associated with metabolic syndrome and its diagnostic components and with colorectal cancer through the use of a genome-wide association study database, and conducted a preliminary Mendelian randomization analysis. To corroborate the dependability of our conclusions, an additional dataset was used for replication analysis in a Mendelian randomization method, which was further integrated with a meta-analysis. RESULTS Preliminary analysis using the inverse variance weighted method revealed positive correlations between metabolic syndrome (OR [95% CI] = 1.37[1.15-1.63], P = 5.02 × 10-4) and waist circumference (OR [95% CI] = 1.39[1.21-1.61], P = 7.38 × 10-6) and the risk of colorectal cancer. Replication analysis also revealed the same results: metabolic syndrome (OR [95% CI] = 1.24[1.02-1.51], P = 0.030) and waist circumference (OR [95% CI] = 1.23[1.05-1.45], P = 0.013). The meta-analysis results further confirmed the associations between metabolic syndrome (OR [95% CI] = 1.31[1.15-1.49], P < 0.001) and waist circumference (OR [95% CI] = 1.32[1.18-1.47], P < 0.001) and colorectal cancer. CONCLUSION Our study indicated that metabolic syndrome increases the risk of CRC, particularly in patients with abdominal obesity.
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Affiliation(s)
- Chendong Yuan
- Department of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China
- Medical Innovation Center, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Xufeng Shu
- Department of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China
- Medical Innovation Center, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Zhenzhen Hu
- Department of Anesthesiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China
| | - Zhigang Jie
- Department of General Surgery, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China.
- Medical Innovation Center, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China.
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14
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Maurotti S, Geirola N, Frosina M, Mirarchi A, Scionti F, Mare R, Montalcini T, Pujia A, Tirinato L. Exploring the impact of lipid droplets on the evolution and progress of hepatocarcinoma. Front Cell Dev Biol 2024; 12:1404006. [PMID: 38818407 PMCID: PMC11137176 DOI: 10.3389/fcell.2024.1404006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 04/29/2024] [Indexed: 06/01/2024] Open
Abstract
Over the past 10 years, the biological role of lipid droplets (LDs) has gained significant attention in the context of both physiological and pathological conditions. Considerable progress has been made in elucidating key aspects of these organelles, yet much remains to be accomplished to fully comprehend the myriad functions they serve in the progression of hepatic tumors. Our current perception is that LDs are complex and active structures managed by a distinct set of cellular processes. This understanding represents a significant paradigm shift from earlier perspectives. In this review, we aim to recapitulate the function of LDs within the liver, highlighting their pivotal role in the pathogenesis of metabolic dysfunction-associated steatotic liver disease (MASLD) (Hsu and Loomba, 2024) and their contribution to the progression towards more advanced pathological stages up to hepatocellular carcinoma (HC) (Farese and Walther, 2009). We are aware of the molecular complexity and changes occurring in the neoplastic evolution of the liver. Our attempt, however, is to summarize the most important and recent roles of LDs across both healthy and all pathological liver states, up to hepatocarcinoma. For more detailed insights, we direct readers to some of the many excellent reviews already available in the literature (Gluchowski et al., 2017; Hu et al., 2020; Seebacher et al., 2020; Paul et al., 2022).
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Affiliation(s)
- Samantha Maurotti
- Department of Clinical and Experimental Medicine, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Nadia Geirola
- Department of Clinical and Experimental Medicine, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Miriam Frosina
- Department of Medical and Surgical Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Angela Mirarchi
- Department of Medical and Surgical Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Francesca Scionti
- Department of Clinical and Experimental Medicine, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Rosario Mare
- Department of Medical and Surgical Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Tiziana Montalcini
- Department of Clinical and Experimental Medicine, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Arturo Pujia
- Department of Medical and Surgical Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
| | - Luca Tirinato
- Department of Medical and Surgical Sciences, University “Magna Græcia” of Catanzaro, Catanzaro, Italy
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15
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Hoekstra M, Van Eck M. Gene Editing for the Treatment of Hypercholesterolemia. Curr Atheroscler Rep 2024; 26:139-146. [PMID: 38498115 PMCID: PMC11087331 DOI: 10.1007/s11883-024-01198-3] [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] [Accepted: 03/11/2024] [Indexed: 03/20/2024]
Abstract
PURPOSE OF REVIEW Here, we summarize the key findings from preclinical studies that tested the concept that editing of hepatic genes can lower plasma low-density lipoprotein (LDL)-cholesterol levels to subsequently reduce atherosclerotic cardiovascular disease risk. RECENT FINDINGS Selective delivery of clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9)-mediated gene editing tools targeting proprotein convertase subtilisin/kexin type 9 (PCSK9) to hepatocytes, i.e., through encapsulation into N-acetylgalactosamine-coupled lipid nanoparticles, is able to induce a stable ~ 90% decrease in plasma PCSK9 levels and a concomitant 60% reduction in LDL-cholesterol levels in mice and non-humane primates. Studies in mice have shown that this state-of-the-art technology can be extended to include additional targets related to dyslipidemia such as angiopoietin-like 3 and several apolipoproteins. The use of gene editors holds great promise to lower plasma LDL-cholesterol levels also in the human setting. However, gene editing safety has to be guaranteed before this approach can become a clinical success.
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Affiliation(s)
- Menno Hoekstra
- Division of Systems Pharmacology and Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands.
- Pharmacy Leiden, Leiden, The Netherlands.
| | - Miranda Van Eck
- Division of Systems Pharmacology and Pharmacy, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
- Pharmacy Leiden, Leiden, The Netherlands
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16
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Pennisi G, Maurotti S, Ciociola E, Jamialahmadi O, Bertolazzi G, Mirarchi A, Bergh PO, Scionti F, Mancina RM, Spagnuolo R, Tripodo C, Boren J, Petta S, Romeo S. ANGPTL3 Downregulation Increases Intracellular Lipids by Reducing Energy Utilization. Arterioscler Thromb Vasc Biol 2024; 44:1086-1097. [PMID: 38385290 DOI: 10.1161/atvbaha.123.319789] [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: 06/26/2023] [Accepted: 02/05/2024] [Indexed: 02/23/2024]
Abstract
BACKGROUND ANGPTL3 (angiopoietin-like protein 3) is a circulating protein with a key role in maintaining lipoprotein homeostasis. A monoclonal antibody against ANGPTL3 is an approved and well-tolerated treatment to reduce lipoproteins in familial hypercholesterolemia homozygotes. However, the reduction of hepatic ANGPTL3 synthesis using an antisense oligonucleotide unexpectedly resulted in a dose-dependent increase in liver lipid content and circulating transaminases, resulting in the termination of the clinical trial. Meanwhile, the use of silencing RNAs remains an area of active investigation. Our study sought to investigate whether intracellular downregulation of ANGPTL3 may lead to a primary increase in neutral lipids within the hepatocyte. METHODS We downregulated ANGPTL3 by silencing RNA in primary human hepatocytes 3-dimensional spheroids, HepG2/LX-2 3-dimensional spheroids, and in HepG2, Hep3B2, and Huh7 cultured in 2 dimensions. RESULTS ANGPTL3 downregulation increased neutral lipids in all models investigated. Interestingly, ANGPTL3 induced lower intracellular deiodinase type 1 protein levels resulting in a reduction in beta-oxidation and causing an increase in triglycerides stored in lipid droplets. CONCLUSIONS In conclusion, intracellular ANGPTL3 downregulation by silencing RNA led to an increase in triglycerides content due to a reduction in energy substrate utilization resembling a primary intracellular hepatocyte hypothyroidism.
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Affiliation(s)
- Grazia Pennisi
- Section of Gastroenterology and Hepatology, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Italy (G.P., S.P.)
| | - Samantha Maurotti
- Department of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy (S.M., F.S.)
| | - Ester Ciociola
- Department of Molecular and Clinical Medicine, University of Gothenburg, Sweden (E.C., O.J., P.-O.B., R.M.M., J.B., S.R.)
| | - Oveis Jamialahmadi
- Department of Molecular and Clinical Medicine, University of Gothenburg, Sweden (E.C., O.J., P.-O.B., R.M.M., J.B., S.R.)
| | - Giorgio Bertolazzi
- Department of Economics, Business, and Statistics, University of Palermo, Italy (G.B.)
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro," University of Palermo, Italy (G.B., C.T.)
| | - Angela Mirarchi
- Department of Medical and Surgical Sciences, Magna Græcia University, Catanzaro, Italy (A.M., S.R.)
| | - Per-Olof Bergh
- Department of Molecular and Clinical Medicine, University of Gothenburg, Sweden (E.C., O.J., P.-O.B., R.M.M., J.B., S.R.)
| | - Francesca Scionti
- Department of Experimental and Clinical Medicine, Magna Græcia University, Catanzaro, Italy (S.M., F.S.)
| | - Rosellina M Mancina
- Department of Molecular and Clinical Medicine, University of Gothenburg, Sweden (E.C., O.J., P.-O.B., R.M.M., J.B., S.R.)
| | - Rocco Spagnuolo
- Department of Health Sciences, University "Magna Graecia," Catanzaro, Italy (R.S.)
| | - Claudio Tripodo
- Tumor Immunology Unit, Department of Sciences for Health Promotion and Mother-Child Care "G. D'Alessandro," University of Palermo, Italy (G.B., C.T.)
| | - Jan Boren
- Department of Molecular and Clinical Medicine, University of Gothenburg, Sweden (E.C., O.J., P.-O.B., R.M.M., J.B., S.R.)
- Wallenberg Laboratory (J.B.), Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Salvatore Petta
- Section of Gastroenterology and Hepatology, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Italy (G.P., S.P.)
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, University of Gothenburg, Sweden (E.C., O.J., P.-O.B., R.M.M., J.B., S.R.)
- Department of Medical and Surgical Sciences, Magna Græcia University, Catanzaro, Italy (A.M., S.R.)
- Cardiology Department (S.R.), Sahlgrenska University Hospital, Gothenburg, Sweden
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17
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Alieva A, Di Costanzo A, Gazzotti M, Reutova O, Usova E, Bakaleiko V, Arca M, D'Erasmo L, Pellegatta F, Galimberti F, Olmastroni E, Catapano AL, Casula M. Genetic heterogeneity of familial hypercholesterolaemia in two populations from two different countries. Eur J Intern Med 2024; 123:65-71. [PMID: 38245461 DOI: 10.1016/j.ejim.2024.01.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 01/22/2024]
Abstract
BACKGROUND Familial hypercholesterolemia (FH) is a genetically determined monogenic disorder of predominantly autosomal dominant inheritance. A number of studies on differences in the genetic profile of patients with FH have demonstrated the importance of a more substantive evaluation of genetic features. The aim of this study was to evaluate the genetic profile of patients with clinical FH among Italian and Russian patients. METHODS We included 144 Italian and 79 Russian FH patients; clinical diagnosis was based on the same criteria. Patients were divided in: positive to genetic test (one causative variant), inconclusive (only variants of uncertain clinical significance [VUS]), and negative (with likely benign/benign variants, heterozygous variants in LDLRAP1 gene, or without causative variants). RESULTS The genetic test was positive in 76.4 % of the Italian patients and in 49.4 % of the Russian patients. The presence of VUS alone was detected in 7.6 % and in 19.0 % (p < 0.001), respectively. Among patients with positive genetic diagnosis, pre-treatment LDL-C levels were higher in the Russian cohort (353.5 ± 111.3 vs. 302.7 ± 52.1 mg/dL, p = 0.009), as well as the percentage of treated patients (53.8 % vs. 14.5 %, p < 0.001) and the prevalence of premature coronary heart disease (12.8 % vs. 3.6 %, p = 0.039). Among patients carrying only VUS, mean pre-treatment LDL-C levels were similar between the cohorts (299.5 ± 68.1 vs. 295.3 ± 46.8 mg/dL, p = 0.863). Among pathogenic/likely pathogenic variants and VUS, only 5 % and 4 % was shared between the two cohorts, respectively. CONCLUSION The genetic background of patients clinically diagnosed with FH in two different countries is characterized by high variability.
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Affiliation(s)
- Asiiat Alieva
- Almazov National Medical Research Centre, Saint Petersburg, Russia.
| | - Alessia Di Costanzo
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | | | - Olga Reutova
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | - Elena Usova
- Almazov National Medical Research Centre, Saint Petersburg, Russia
| | | | - Marcello Arca
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | - Laura D'Erasmo
- Department of Translational and Precision Medicine, Sapienza University of Rome, Rome, Italy
| | | | | | - Elena Olmastroni
- IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy; Epidemiology and Preventive Pharmacology Service (SEFAP), Department of Pharmacological and Biomolecular Sciences (DisFeB), University of Milan, Milan, Italy
| | - Alberico L Catapano
- IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy; Epidemiology and Preventive Pharmacology Service (SEFAP), Department of Pharmacological and Biomolecular Sciences (DisFeB), University of Milan, Milan, Italy
| | - Manuela Casula
- IRCCS MultiMedica, Sesto San Giovanni, Milan, Italy; Epidemiology and Preventive Pharmacology Service (SEFAP), Department of Pharmacological and Biomolecular Sciences (DisFeB), University of Milan, Milan, Italy
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18
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Luo F, Das A, Khetarpal SA, Fang Z, Zelniker TA, Rosenson RS, Qamar A. ANGPTL3 inhibition, dyslipidemia, and cardiovascular diseases. Trends Cardiovasc Med 2024; 34:215-222. [PMID: 36746257 DOI: 10.1016/j.tcm.2023.01.008] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/30/2023] [Accepted: 01/30/2023] [Indexed: 02/07/2023]
Abstract
Optimal management of low-density lipoprotein cholesterol (LDL-C) is a central tenet in the primary and secondary prevention of atherosclerotic cardiovascular disease (ASCVD). However, significant residual cardiovascular risk remains despite achieving guideline-directed LDL-C levels, in part due to mixed hyperlipidemia with elevated fasting and non-fasting triglyceride-rich lipoprotein levels. Advances in human genetics have identified angiopoietin-like 3 (ANGPTL3) as a promising therapeutic target to lower cardiovascular risk. Evidence accrued from genetic epidemiological studies demonstrate that ANGPTL3 loss of function is strongly associated with lowering of circulating LDL-C, triglyceride-rich lipoproteins and concurrent risk reduction in development of coronary artery disease. Pharmacological inhibition of ANGPTL3 with monoclonal antibodies, antisense oligonucleotides and gene editing are in development with early studies showing their safety and efficacy in lowering in both, LDL-C and TGs, circumventing a key limitation of previous therapies. Monoclonal antibodies targeting ANGPTL3 are approved for clinical use in homozygous familial hypercholesteremia in USA and Europe. Although promising, future studies focusing on long-term beneficial effect in reducing cardiovascular events with inhibition of ANGPTL3 are warranted.
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Affiliation(s)
- Fei Luo
- Department of Cardiovascular Medicine, Research Institute of Blood Lipid and Atherosclerosis, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Avash Das
- Department of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Sumeet A Khetarpal
- Division of Cardiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States
| | - Zhenfei Fang
- Department of Cardiovascular Medicine, Research Institute of Blood Lipid and Atherosclerosis, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Thomas A Zelniker
- Division of Cardiology, Vienna General Hospital and Medical University of Vienna, Austria
| | - Robert S Rosenson
- Metabolism and Lipids Unit, Zena and Michael A. Wiener Cardiovascular Institute, Marie-Josee and Henry R Kravis Center for Cardiovascular Health, Mount Sinai Icahn School of Medicine, New York, NY, United States
| | - Arman Qamar
- Section of Interventional Cardiology & Vascular Medicine, NorthShore University Health System, University of Chicago Pritzker School of Medicine, 2650 Ridge Avenue, Evanston, IL, United States.
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19
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Diawara A, Coulibaly DM, Kone D, Traore MA, Konaté D, Bazi DS, Kassogue O, Sylla D, Fofana FG, Diabaté O, Traore M, Nieantao IA, Keїta K, Diarra M, Smith O, Li J, Cisse C, Abbas TY, Zheng C, Fatumo S, Traore K, Wele M, Diakité M, Doumbia SO, Shaffer JG. Dyslipidemia in Adults with Type 2 Diabetes in a Rural Community in Ganadougou, Mali: A Cross-Sectional Study. JOURNAL OF DIABETES MELLITUS 2024; 14:133-152. [PMID: 38938445 PMCID: PMC11210374 DOI: 10.4236/jdm.2024.142012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/29/2024]
Abstract
Dyslipidemia is a disorder where abnormally lipid concentrations circulate in the bloodstream. The disorder is common in type 2 diabetics (T2D) and is linked with T2D comorbidities, particularly cardiovascular disease. Dyslipidemia in T2D is typically characterized by elevated plasma triglyceride and low high-density lipoprotein cholesterol (HDL-C) levels. There is a significant gap in the literature regarding dyslipidemia in rural parts of Africa, where lipid profiles may not be captured through routine surveillance. This study aimed to characterize the prevalence and demo-graphic profile of dyslipidemia in T2D in the rural community of Ganadougou, Mali. We performed a cross-sectional study of 104 subjects with T2D in Ganadougou between November 2021 and March 2022. Demographic and lipid profiles were collected through cross-sectional surveys and serological analyses. The overall prevalence of dyslipidemia in T2D patients was 87.5% (91/104), which did not differ by sex (P = .368). High low-density lipoprotein cholesterol (LDL-C) was the most common lipid abnormality (78.9%, [82/104]). Dyslipidemia was associated with age and hypertension status (P = .013 and.036, respectively). High total and high LDL-C parameters were significantly associated with hypertension (P = .029 and .006, respectively). In low-resource settings such as rural Mali, there is a critical need to improve infrastructure for routine dyslipidemia screening to guide its prevention and intervention approaches. The high rates of dyslipidemia observed in Gandadougou, consistent with concomitant increases in cardiovascular diseases in Africa suggest that lipid profile assessments should be incorporated into routine medical care for T2D patients in African rural settings.
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Affiliation(s)
- Abdoulaye Diawara
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Drissa Kone
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mama A. Traore
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Drissa Konaté
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Dicko S. Bazi
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Oumar Kassogue
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Djeneba Sylla
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Oudou Diabaté
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mariam Traore
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | | | - Kaly Keїta
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mamadou Diarra
- National Federation of Community Health Associations, Bamako, Mali
| | - Olivia Smith
- Department of Tropical Medicine, Medical Microbiology, & Pharmacology, John A. Burns School of Medicine, University of Hawaii Manoa, Honolulu, USA
| | - Jian Li
- Department Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, USA
| | - Cheickna Cisse
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Talib Yusuf Abbas
- Department of Biotechnology and Computer Science, Burhani College, Mazgaon, Mumbai, India
| | - Crystal Zheng
- School of Medicine, Tulane University, New Orleans, USA
| | - Segun Fatumo
- Medical Research Council, Uganda Virus Research Institute, Entebbe, Uganda
- London School of Hygiene and Tropical Medicine, London, UK
| | - Kassim Traore
- Departement of Biochemistry and Genetics Duquesne, University College of Medicine, Pittsburgh, USA
| | - Mamadou Wele
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Mahamadou Diakité
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Seydou O. Doumbia
- University of Sciences, Techniques and Technologies of Bamako, Bamako, Mali
| | - Jeffrey G. Shaffer
- Department Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, USA
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20
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Min YG, Lee SY, Lim E, Park MY, Kim DH, Byun JM, Koh Y, Hong J, Shin DY, Yoon SS, Sung JJ, Oh SB, Kim I. Genetic Risk Factors for Bortezomib-induced Neuropathic Pain in an Asian Population: A Genome-wide Association Study in South Korea. THE JOURNAL OF PAIN 2024:104552. [PMID: 38692398 DOI: 10.1016/j.jpain.2024.104552] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/22/2024] [Accepted: 04/22/2024] [Indexed: 05/03/2024]
Abstract
Bortezomib-induced neuropathic pain (BINP) poses a challenge in multiple myeloma (MM) treatment. Genetic factors play a key role in BINP susceptibility, but research has predominantly focused on Caucasian populations. This research explored novel genetic risk loci and pathways associated with BINP development in Korean MM patients while evaluating the reproducibility of variants from Caucasians. Clinical data and buffy coat samples from 185 MM patients on bortezomib were collected. The cohort was split into discovery and validation cohorts through random stratification of clinical risk factors for BINP. Genome-wide association study was performed on the discovery cohort (n = 74) with Infinium Global Screening Array-24 v3.0 BeadChip (654,027 single nucleotide polymorphism [SNPs]). Relevant biological pathways were identified using the pathway scoring algorithm. The top 20 SNPs were validated in the validation cohort (n = 111). Previously reported SNPs were validated in the entire cohort (n = 185). Pathway analysis of the genome-wide association study results identified 31 relevant pathways, including immune systems and endosomal vacuolar pathways. Among the top 20 SNPs from the discovery cohort, 16 were replicated, which included intronic variants in ASIC2 and SMOC2, recently implicated in nociception, as well as intergenic variants or long noncoding RNAs. None of the 17 previously reported SNPs remained significant in our cohort (rs2274578, P = .085). This study represents the first investigation of novel genetic loci and biological pathways associated with BINP occurrence. Our findings, in conjunction with existing Caucasian studies, expand the understanding of personalized risk prediction and disease mechanisms. PERSPECTIVE: This article is the first to explore novel genetic loci and pathways linked to BINP in Korean MM patients, offering novel insights beyond the existing research focused on Caucasian populations into personalized risk assessment and therapeutic strategies of BINP.
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Affiliation(s)
- Young Gi Min
- Department of Translational Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Neurology, Seoul National University Hospital, Seoul, South Korea
| | | | | | | | | | - Ja Min Byun
- Department of Internal Medicine, Seoul National University Hospital, Biomedical Research Institute, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Youngil Koh
- Department of Internal Medicine, Seoul National University Hospital, Biomedical Research Institute, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Junshik Hong
- Department of Internal Medicine, Seoul National University Hospital, Biomedical Research Institute, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong-Yeop Shin
- Department of Internal Medicine, Seoul National University Hospital, Biomedical Research Institute, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sung-Soo Yoon
- Department of Internal Medicine, Seoul National University Hospital, Biomedical Research Institute, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jung-Joon Sung
- Department of Translational Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Department of Neurology, Seoul National University Hospital, Seoul, South Korea; Neuroscience Research Institute, Seoul National University College of Medicine, Seoul, South Korea; Wide River Institute of Immunology, Seoul National University, Hongcheon, Gangwon-do, South Korea
| | - Seog Bae Oh
- Department of Neurobiology and Physiology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, Republic of Korea; ADA Forsyth Institute, 245 First St, Cambridge MA, 02142, USA.
| | - Inho Kim
- Department of Internal Medicine, Seoul National University Hospital, Biomedical Research Institute, Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
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21
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Chen H, Zhang Z, Wang Y, Ma A, Li L, Zhao G. Iron status and sarcopenia-related traits: a bi-directional Mendelian randomization study. Sci Rep 2024; 14:9179. [PMID: 38649459 PMCID: PMC11035655 DOI: 10.1038/s41598-024-60059-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 04/18/2024] [Indexed: 04/25/2024] Open
Abstract
Although serum iron status and sarcopenia are closely linked, the presence of comprehensive evidence to establish a causal relationship between them remains insufficient. The objective of this study is to employ Mendelian randomization techniques to clarify the association between serum iron status and sarcopenia. We conducted a bi-directional Mendelian randomization (MR) analysis to investigate the potential causal relationship between iron status and sarcopenia. MR analyses were performed using inverse variance weighted (IVW), MR-Egger, and weighted median methods. Additionally, sensitivity analyses were conducted to verify the reliability of the causal association results. Then, we harvested a combination of SNPs as an integrated proxy for iron status to perform a MVMR analysis based on IVW MVMR model. UVMR analyses based on IVW method identified causal effect of ferritin on appendicular lean mass (ALM, β = - 0.051, 95% CI - 0.072, - 0.031, p = 7.325 × 10-07). Sensitivity analyses did not detect pleiotropic effects or result fluctuation by outlying SNPs in the effect estimates of four iron status on sarcopenia-related traits. After adjusting for PA, the analysis still revealed that each standard deviation higher genetically predicted ferritin was associated with lower ALM (β = - 0.054, 95% CI - 0.092, - 0.015, p = 0.006). Further, MVMR analyses determined a predominant role of ferritin (β = - 0.068, 95% CI - 0.12, - 0.017, p = 9.658 × 10-03) in the associations of iron status with ALM. Our study revealed a causal association between serum iron status and sarcopenia, with ferritin playing a key role in this relationship. These findings contribute to our understanding of the complex interplay between iron metabolism and muscle health.
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Affiliation(s)
- Honggu Chen
- Department of Orthopedics, the Affiliated Hospital of Jiangsu University, Zhenjiang, 212000, Jiangsu Province, People's Republic of China
| | - Ziyi Zhang
- Department of Orthopedics, the Affiliated Hospital of Jiangsu University, Zhenjiang, 212000, Jiangsu Province, People's Republic of China
| | - Yizhe Wang
- School of Medicine of Jiangsu University, Zhenjiang, 212000, Jiangsu, China
| | - Anpei Ma
- Department of Orthopedics, Yancheng First People's Hospital, Yancheng, 224000, Jiangsu Province, People's Republic of China
| | - Lingbo Li
- Department of Internal Medicine, Peking Union Medical College Hospital, Beijing, 100730, Beijing, People's Republic of China
| | - Guoyang Zhao
- Department of Orthopedics, the Affiliated Hospital of Jiangsu University, Zhenjiang, 212000, Jiangsu Province, People's Republic of China.
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22
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Zeng T, Lv J, Liang J, Xie B, Liu L, Tan Y, Zhu J, Jiang J, Xie H. Zebrafish cobll1a regulates lipid homeostasis via the RA signaling pathway. Front Cell Dev Biol 2024; 12:1381362. [PMID: 38699158 PMCID: PMC11063382 DOI: 10.3389/fcell.2024.1381362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 04/04/2024] [Indexed: 05/05/2024] Open
Abstract
Background The COBLL1 gene has been implicated in human central obesity, fasting insulin levels, type 2 diabetes, and blood lipid profiles. However, its molecular mechanisms remain largely unexplored. Methods In this study, we established cobll1a mutant lines using the CRISPR/Cas9-mediated gene knockout technique. To further dissect the molecular underpinnings of cobll1a during early development, transcriptome sequencing and bioinformatics analysis was employed. Results Our study showed that compared to the control, cobll1a -/- zebrafish embryos exhibited impaired development of digestive organs, including the liver, intestine, and pancreas, at 4 days post-fertilization (dpf). Transcriptome sequencing and bioinformatics analysis results showed that in cobll1a knockout group, the expression level of genes in the Retinoic Acid (RA) signaling pathway was affected, and the expression level of lipid metabolism-related genes (fasn, scd, elovl2, elovl6, dgat1a, srebf1 and srebf2) were significantly changed (p < 0.01), leading to increased lipid synthesis and decreased lipid catabolism. The expression level of apolipoprotein genes (apoa1a, apoa1b, apoa2, apoa4a, apoa4b, and apoea) genes were downregulated. Conclusion Our study suggest that the loss of cobll1a resulted in disrupted RA metabolism, reduced lipoprotein expression, and abnormal lipid transport, therefore contributing to lipid accumulation and deleterious effects on early liver development.
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Affiliation(s)
- Ting Zeng
- Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Changsha, Hunan, China
| | - Jinrui Lv
- Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Changsha, Hunan, China
| | - Jiaxin Liang
- Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Changsha, Hunan, China
| | - Binling Xie
- Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Changsha, Hunan, China
| | - Ling Liu
- Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Changsha, Hunan, China
| | - Yuanyuan Tan
- Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Changsha, Hunan, China
| | - Junwei Zhu
- Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Changsha, Hunan, China
| | - Jifan Jiang
- Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Changsha, Hunan, China
| | - Huaping Xie
- Hunan International Joint Laboratory of Animal Intestinal Ecology and Health, Laboratory of Animal Nutrition and Human Health, College of Life Sciences, Hunan Normal University, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Animal Intestinal Function and Regulation, Changsha, Hunan, China
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23
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Papageorgiou N, Sohrabi C, Bakogiannis C, Tsarouchas A, Kukendrarajah K, Matiti L, Srinivasan NT, Ahsan S, Sporton S, Schilling RJ, Hunter RJ, Muthumala A, Creta A, Chow AW, Providencia R. Blood groups and Rhesus status as potential predictors of outcomes in patients with cardiac resynchronisation therapy. Sci Rep 2024; 14:8371. [PMID: 38600217 PMCID: PMC11006901 DOI: 10.1038/s41598-024-58747-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Accepted: 04/02/2024] [Indexed: 04/12/2024] Open
Abstract
Cardiac resynchronisation therapy (CRT) improves prognosis in patients with heart failure (HF) however the role of ABO blood groups and Rhesus factor are poorly understood. We hypothesise that blood groups may influence clinical and survival outcomes in HF patients undergoing CRT. A total of 499 patients with HF who fulfilled the criteria for CRT implantation were included. Primary outcome of all-cause mortality and/or heart transplant/left ventricular assist device was assessed over a median follow-up of 4.6 years (IQR 2.3-7.5). Online repositories were searched to provide biological context to the identified associations. Patients were divided into blood (O, A, B, and AB) and Rhesus factor (Rh-positive and Rh-negative) groups. Mean patient age was 66.4 ± 12.8 years with a left ventricular ejection fraction of 29 ± 11%. There were no baseline differences in age, gender, and cardioprotective medication. In a Cox proportional hazard multivariate model, only Rh-negative blood group was associated with a significant survival benefit (HR 0.68 [0.47-0.98], p = 0.040). No association was observed for the ABO blood group (HR 0.97 [0.76-1.23], p = 0.778). No significant interaction was observed with prevention, disease aetiology, and presence of defibrillator. Rhesus-related genes were associated with erythrocyte and platelet function, and cholesterol and glycated haemoglobin levels. Four drugs under development targeting RHD were identified (Rozrolimupab, Roledumab, Atorolimumab, and Morolimumab). Rhesus blood type was associated with better survival in HF patients with CRT. Further research into Rhesus-associated pathways and related drugs, namely whether there is a cardiac signal, is required.
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Affiliation(s)
- Nikolaos Papageorgiou
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK
- Institute of Cardiovascular Science, University College London, London, UK
| | - Catrin Sohrabi
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK
| | | | | | - Kishore Kukendrarajah
- The Farr Institute of Health Informatics Research, University College London, London, UK
| | - Luso Matiti
- Broomfield Hospital, Mid and South Essex NHS Foundation Trust, Essex, UK
| | - Neil T Srinivasan
- Department of Cardiac Electrophysiology, Essex Cardiothoracic Centre, Basildon, UK
- Circulatory Health Research Group, Medical Technology Research Centre, School of Medicine, Anglia Ruskin University, Chelmsford, UK
| | - Syed Ahsan
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK
| | - Simon Sporton
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK
| | - Richard J Schilling
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK
| | - Ross J Hunter
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK
| | - Amal Muthumala
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK
| | - Antonio Creta
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK
| | - Anthony W Chow
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK
| | - Rui Providencia
- Electrophysiology Department, Barts Heart Centre, St. Bartholomew's Hospital, West Smithfield, London, UK.
- Institute of Cardiovascular Science, University College London, London, UK.
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24
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Cardiero G, Ferrandino M, Calcaterra IL, Iannuzzo G, Di Minno MND, Buganza R, Guardamagna O, Auricchio R, Di Taranto MD, Fortunato G. Impact of 12-SNP and 6-SNP Polygenic Scores on Predisposition to High LDL-Cholesterol Levels in Patients with Familial Hypercholesterolemia. Genes (Basel) 2024; 15:462. [PMID: 38674396 PMCID: PMC11050365 DOI: 10.3390/genes15040462] [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: 03/08/2024] [Revised: 04/03/2024] [Accepted: 04/04/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Familial hypercholesterolemia (FH) comprises high LDL-cholesterol (LDL-c) levels and high cardiovascular disease risk. In the absence of pathogenic variants in causative genes, a polygenic basis was hypothesized. METHODS In a population of 418 patients (excluding homozygotes) with clinical suspicion of FH, the FH-causative genes and the regions of single nucleotide polymorphisms (SNPs) included in 12-SNP and 6-SNP scores were sequenced by next-generation sequencing, allowing for the detection of pathogenic variants (V+) in 220 patients. To make a comparison, only patients without uncertain significance variants (V-/USV-) were considered (n = 162). RESULTS Higher values of both scores were observed in V+ than in V-. Considering a cut-off leading to 80% of V-/USV- as score-positive, a lower prevalence of patients positive for both 12-SNP and 6-SNP scores was observed in V+ (p = 0.010 and 0.033, respectively). Mainly for the 12-SNP score, among V+ patients, higher LDL-c levels were observed in score-positive (223 mg/dL -IQR 187-279) than in negative patients (212 mg/dL -IQR 162-240; p = 0.006). Multivariate analysis confirmed the association of scores and LDL-c levels independently of age, sex, and presence of pathogenic variants and revealed a greater association in children. CONCLUSIONS The 12-SNP and 6-SNP polygenic scores could explain hypercholesterolemia in patients without pathogenic variants as well as the variability of LDL-c levels among patients with FH-causative variants.
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Affiliation(s)
- Giovanna Cardiero
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80131 Naples, Italy; (G.C.); (M.F.); (G.F.)
- CEINGE-Biotecnologie Avanzate Franco Salvatore, 80145 Naples, Italy
| | - Martina Ferrandino
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80131 Naples, Italy; (G.C.); (M.F.); (G.F.)
- CEINGE-Biotecnologie Avanzate Franco Salvatore, 80145 Naples, Italy
| | - Ilenia Lorenza Calcaterra
- Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, 80131 Naples, Italy; (I.L.C.); (G.I.); (M.N.D.D.M.)
| | - Gabriella Iannuzzo
- Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, 80131 Naples, Italy; (I.L.C.); (G.I.); (M.N.D.D.M.)
| | - Matteo Nicola Dario Di Minno
- Dipartimento di Medicina Clinica e Chirurgia, Università degli Studi di Napoli Federico II, 80131 Naples, Italy; (I.L.C.); (G.I.); (M.N.D.D.M.)
| | - Raffaele Buganza
- Dipartimento di Scienze della Sanità Pubblica e Pediatriche, Università di Torino, 10126 Turin, Italy; (R.B.); (O.G.)
| | - Ornella Guardamagna
- Dipartimento di Scienze della Sanità Pubblica e Pediatriche, Università di Torino, 10126 Turin, Italy; (R.B.); (O.G.)
| | - Renata Auricchio
- Dipartimento di Scienze Mediche Traslazionali, Università degli Studi di Napoli Federico II, 80131 Naples, Italy;
| | - Maria Donata Di Taranto
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80131 Naples, Italy; (G.C.); (M.F.); (G.F.)
- CEINGE-Biotecnologie Avanzate Franco Salvatore, 80145 Naples, Italy
| | - Giuliana Fortunato
- Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli Federico II, 80131 Naples, Italy; (G.C.); (M.F.); (G.F.)
- CEINGE-Biotecnologie Avanzate Franco Salvatore, 80145 Naples, Italy
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25
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Hernandez-Resendiz I, Burkhardt R. Novel functions of Tribbles-homolog 1 in liver, adipocytes and atherosclerosis. Curr Opin Lipidol 2024; 35:51-57. [PMID: 38236937 DOI: 10.1097/mol.0000000000000917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
PURPOSE OF REVIEW Human genetics studies have sparked great interest in the pseudokinase Tribbles homolog 1, as variant at the TRIB1 gene locus were robustly linked to several cardiometabolic traits, including plasma lipids and coronary artery disease. In this review, we summarize recent findings from mouse models that investigated the function of hepatic and adipocyte Trib1 in lipid metabolism and its role in atherosclerosis. RECENT FINDINGS Studies in atherosclerosis prone low-density lipoprotein (LDL)-receptor knockout mice suggested that systemic Trib1 -deficiency promotes atherosclerotic lesion formation through the modulation of plasma lipids and inflammation. Further, investigations in mice with hepatocyte specific deletion of Trib1 identified a novel role in the catabolism of apoB-containing lipoproteins via regulation of the LDL-receptor. Moreover, recent studies on Trib1 in adipocytes uncovered critical functions in adipose tissue biology, including the regulation of plasma lipid and adiponectin levels and the response to β3-adrenergic receptor activation. SUMMARY Functional studies in mice have expanded our understanding of how Trib1 contributes to various aspects of cardiometabolic diseases. They support the notion that Trib1 exerts tissue-specific effects, which can result in opposing effects on cardiometabolic traits. Additional studies are required to fully elucidate the molecular mechanisms underlying the cellular and systemic effects of Trib1 .
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Affiliation(s)
- Ileana Hernandez-Resendiz
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Regensburg, University of Regensburg, Germany
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Campbell KA, Fu M, MacDonald E, Zawistowski M, Bakulski KM, Ware EB. Relationship between alcohol consumption and dementia with Mendelian randomization approaches among older adults in the United States. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2024; 16:e12598. [PMID: 38903149 PMCID: PMC11187745 DOI: 10.1002/dad2.12598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 04/09/2024] [Accepted: 04/17/2024] [Indexed: 06/22/2024]
Abstract
INTRODUCTION In observational studies, the association between alcohol consumption and dementia is mixed. METHODS We performed two-sample Mendelian randomization (MR) using summary statistics from genome-wide association studies of weekly alcohol consumption and late-onset Alzheimer's disease and one-sample MR in the Health and Retirement Study (HRS), wave 2012. Inverse variance weighted two-stage regression provided odds ratios of association between alcohol exposure and dementia or cognitively impaired, non-dementia relative to cognitively normal. RESULTS Alcohol consumption was not associated with late-onset Alzheimer's disease using two-sample MR (odds ratio [OR] = 1.15, 95% confidence interval [CI]: [0.78, 1.72]). In HRS, doubling weekly alcohol consumption was not associated with dementia (African ancestries, n = 1,322, OR = 1.00, 95% CI [0.45, 2.25]; European ancestries, n = 7,160, OR = 1.37, 95% CI [0.53, 3.51]) or cognitively impaired, non-dementia (African ancestries, n = 1,322, OR = 1.17, 95% CI [0.69, 1.98]; European ancestries, n = 7,160, OR = 0.75, 95% CI [0.47, 1.22]). DISCUSSION Alcohol consumption was not associated with cognitively impaired, non-dementia or dementia status. Highlights Cross-sectionally in a large, diverse sample, alcohol appears protective for dementia.We apply two- and one-sample Mendelian randomization to test inferred causality.Mendelian randomization approaches show no association with alcohol and dementia.We conclude that alcohol consumption should not be considered protective.
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Affiliation(s)
- Kyle A. Campbell
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Mingzhou Fu
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Elizabeth MacDonald
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Matthew Zawistowski
- Department of BiostatisticsUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Kelly M. Bakulski
- Department of EpidemiologyUniversity of Michigan School of Public HealthAnn ArborMichiganUSA
| | - Erin B. Ware
- Institute for Social ResearchUniversity of MichiganAnn ArborMichiganUSA
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Woerner J, Sriram V, Nam Y, Verma A, Kim D. Uncovering genetic associations in the human diseasome using an endophenotype-augmented disease network. Bioinformatics 2024; 40:btae126. [PMID: 38527901 PMCID: PMC10963079 DOI: 10.1093/bioinformatics/btae126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 01/17/2024] [Indexed: 03/27/2024] Open
Abstract
MOTIVATION Many diseases, particularly cardiometabolic disorders, exhibit complex multimorbidities with one another. An intuitive way to model the connections between phenotypes is with a disease-disease network (DDN), where nodes represent diseases and edges represent associations, such as shared single-nucleotide polymorphisms (SNPs), between pairs of diseases. To gain further genetic understanding of molecular contributors to disease associations, we propose a novel version of the shared-SNP DDN (ssDDN), denoted as ssDDN+, which includes connections between diseases derived from genetic correlations with intermediate endophenotypes. We hypothesize that a ssDDN+ can provide complementary information to the disease connections in a ssDDN, yielding insight into the role of clinical laboratory measurements in disease interactions. RESULTS Using PheWAS summary statistics from the UK Biobank, we constructed a ssDDN+ revealing hundreds of genetic correlations between diseases and quantitative traits. Our augmented network uncovers genetic associations across different disease categories, connects relevant cardiometabolic diseases, and highlights specific biomarkers that are associated with cross-phenotype associations. Out of the 31 clinical measurements under consideration, HDL-C connects the greatest number of diseases and is strongly associated with both type 2 diabetes and heart failure. Triglycerides, another blood lipid with known genetic causes in non-mendelian diseases, also adds a substantial number of edges to the ssDDN. This work demonstrates how association with clinical biomarkers can better explain the shared genetics between cardiometabolic disorders. Our study can facilitate future network-based investigations of cross-phenotype associations involving pleiotropy and genetic heterogeneity, potentially uncovering sources of missing heritability in multimorbidities. AVAILABILITY AND IMPLEMENTATION The generated ssDDN+ can be explored at https://hdpm.biomedinfolab.com/ddn/biomarkerDDN.
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Affiliation(s)
- Jakob Woerner
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
- Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Vivek Sriram
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
- Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Yonghyun Nam
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Anurag Verma
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States
| | - Dokyoon Kim
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA 19104, United States
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Busonero F, Lenarduzzi S, Crobu F, Gentile RM, Carta A, Cracco F, Maschio A, Camarda S, Marongiu M, Zanetti D, Conversano C, Di Lorenzo G, Mazzà D, De Seta F, Girotto G, Sanna S. The Women4Health cohort: a unique cohort to study women-specific mechanisms of cardio-metabolic regulation. EUROPEAN HEART JOURNAL OPEN 2024; 4:oeae012. [PMID: 38532851 PMCID: PMC10964981 DOI: 10.1093/ehjopen/oeae012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/22/2024] [Accepted: 02/26/2024] [Indexed: 03/28/2024]
Abstract
Aims Epidemiological research has shown relevant differences between sexes in clinical manifestations, severity, and progression of cardiovascular and metabolic disorders. To date, the mechanisms underlying these differences remain unknown. Given the rising incidence of such diseases, gender-specific research on established and emerging risk factors, such as dysfunction of glycaemic and/or lipid metabolism, of sex hormones and of gut microbiome, is of paramount importance. The relationships between sex hormones, gut microbiome, and host glycaemic and/or lipid metabolism are largely unknown even in the homoeostasis status. Yet this knowledge gap would be pivotal to pinpoint to key mechanisms that are likely to be disrupted in disease context. Methods and results Here we present the Women4Health (W4H) cohort, a unique cohort comprising up to 300 healthy women followed up during a natural menstrual cycle, set up with the primary goal to investigate the combined role of sex hormones and gut microbiota variations in regulating host lipid and glucose metabolism during homoeostasis, using a multi-omics strategy. Additionally, the W4H cohort will take into consideration another ecosystem that is unique to women, the vaginal microbiome, investigating its interaction with gut microbiome and exploring-for the first time-its role in cardiometabolic disorders. Conclusion The W4H cohort study lays a foundation for improving current knowledge of women-specific mechanisms in cardiometabolic regulation. It aspires to transform insights on host-microbiota interactions into prevention and therapeutic approaches for personalized health care.
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Affiliation(s)
- Fabio Busonero
- Institute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), c/o Cittadella Universitaria di Monserrato, SS554 Km 4500, Monserrato, 09042, CA, Italy
| | - Stefania Lenarduzzi
- Institute for Maternal and Child Health—IRCCS ‘Burlo Garofolo’, Via dell'Istria 65/1, Trieste, 34137, TS, Italy
| | - Francesca Crobu
- Institute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), c/o Cittadella Universitaria di Monserrato, SS554 Km 4500, Monserrato, 09042, CA, Italy
| | - Roberta Marie Gentile
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Piazzale Europa 1, Trieste, 34137, TS, Italy
| | - Andrea Carta
- Department of Business and Economics, University of Cagliari, via Università 40, 09124, Cagliari, CA, Italy
| | - Francesco Cracco
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Piazzale Europa 1, Trieste, 34137, TS, Italy
| | - Andrea Maschio
- Institute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), c/o Cittadella Universitaria di Monserrato, SS554 Km 4500, Monserrato, 09042, CA, Italy
| | - Silvia Camarda
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Piazzale Europa 1, Trieste, 34137, TS, Italy
| | - Michele Marongiu
- Institute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), c/o Cittadella Universitaria di Monserrato, SS554 Km 4500, Monserrato, 09042, CA, Italy
| | - Daniela Zanetti
- Institute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), c/o Cittadella Universitaria di Monserrato, SS554 Km 4500, Monserrato, 09042, CA, Italy
| | - Claudio Conversano
- Institute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), c/o Cittadella Universitaria di Monserrato, SS554 Km 4500, Monserrato, 09042, CA, Italy
- Department of Business and Economics, University of Cagliari, via Università 40, 09124, Cagliari, CA, Italy
| | - Giovanni Di Lorenzo
- Institute for Maternal and Child Health—IRCCS ‘Burlo Garofolo’, Via dell'Istria 65/1, Trieste, 34137, TS, Italy
| | - Daniela Mazzà
- Institute for Maternal and Child Health—IRCCS ‘Burlo Garofolo’, Via dell'Istria 65/1, Trieste, 34137, TS, Italy
| | - Francesco De Seta
- Institute for Maternal and Child Health—IRCCS ‘Burlo Garofolo’, Via dell'Istria 65/1, Trieste, 34137, TS, Italy
| | - Giorgia Girotto
- Institute for Maternal and Child Health—IRCCS ‘Burlo Garofolo’, Via dell'Istria 65/1, Trieste, 34137, TS, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Piazzale Europa 1, Trieste, 34137, TS, Italy
| | - Serena Sanna
- Institute of Genetic and Biomedical Research (IRGB), National Research Council (CNR), c/o Cittadella Universitaria di Monserrato, SS554 Km 4500, Monserrato, 09042, CA, Italy
- Department of Genetics, University Medical Center Groningen, Hanzeplein 1, 97123 GZ, Groningen, The Netherlands
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Yang ML, Xu C, Gupte T, Hoffmann TJ, Iribarren C, Zhou X, Ganesh SK. Sex-specific genetic architecture of blood pressure. Nat Med 2024; 30:818-828. [PMID: 38459180 DOI: 10.1038/s41591-024-02858-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 02/05/2024] [Indexed: 03/10/2024]
Abstract
The genetic and genomic basis of sex differences in blood pressure (BP) traits remain unstudied at scale. Here, we conducted sex-stratified and combined-sex genome-wide association studies of BP traits using the UK Biobank resource, identifying 1,346 previously reported and 29 new BP trait-associated loci. Among associated loci, 412 were female-specific (Pfemale ≤ 5 × 10-8; Pmale > 5 × 10-8) and 142 were male-specific (Pmale ≤ 5 × 10-8; Pfemale > 5 × 10-8); these sex-specific loci were enriched for hormone-related transcription factors, in particular, estrogen receptor 1. Analyses of gene-by-sex interactions and sexually dimorphic effects identified four genomic regions, showing female-specific associations with diastolic BP or pulse pressure, including the chromosome 13q34-COL4A1/COL4A2 locus. Notably, female-specific pulse pressure-associated loci exhibited enriched acetylated histone H3 Lys27 modifications in arterial tissues and a female-specific association with fibromuscular dysplasia, a female-biased vascular disease; colocalization signals included Chr13q34: COL4A1/COL4A2, Chr9p21: CDKN2B-AS1 and Chr4q32.1: MAP9 regions. Sex-specific and sex-biased polygenic associations of BP traits were associated with multiple cardiovascular traits. These findings suggest potentially clinically significant and BP sex-specific pleiotropic effects on cardiovascular diseases.
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Affiliation(s)
- Min-Lee Yang
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Chang Xu
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Trisha Gupte
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Thomas J Hoffmann
- Department of Epidemiology & Biostatistics, and Institute for Human Genetics, School of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | | | - Xiang Zhou
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Santhi K Ganesh
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA.
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA.
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
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Votava JA, John SV, Li Z, Chen S, Fan J, Parks BW. Mining cholesterol genes from thousands of mouse livers identifies aldolase C as a regulator of cholesterol biosynthesis. J Lipid Res 2024; 65:100525. [PMID: 38417553 PMCID: PMC10965479 DOI: 10.1016/j.jlr.2024.100525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 02/12/2024] [Accepted: 02/16/2024] [Indexed: 03/01/2024] Open
Abstract
The availability of genome-wide transcriptomic and proteomic datasets is ever-increasing and often not used beyond initial publication. Here, we applied module-based coexpression network analysis to a comprehensive catalog of 35 mouse genome-wide liver expression datasets (encompassing more than 3800 mice) with the goal of identifying and validating unknown genes involved in cholesterol metabolism. From these 35 datasets, we identified a conserved module of genes enriched with cholesterol biosynthetic genes. Using a systematic approach across the 35 datasets, we identified three genes (Rdh11, Echdc1, and Aldoc) with no known role in cholesterol metabolism. We then performed functional validation studies and show that each gene is capable of regulating cholesterol metabolism. For the glycolytic gene, Aldoc, we demonstrate that it contributes to de novo cholesterol biosynthesis and regulates cholesterol and triglyceride levels in mice. As Aldoc is located within a genome-wide significant genome-wide association studies locus for human plasma cholesterol levels, our studies establish Aldoc as a causal gene within this locus. Through our work, we develop a framework for leveraging mouse genome-wide liver datasets for identifying and validating genes involved in cholesterol metabolism.
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Affiliation(s)
- James A Votava
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Zhonggang Li
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Shuyang Chen
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Jing Fan
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, USA; Morgridge Institute for Research, Madison, WI, USA
| | - Brian W Parks
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, USA.
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Vilor‐Tejedor N, Genius P, Rodríguez‐Fernández B, Minguillón C, Sadeghi I, González‐Escalante A, Crous‐Bou M, Suárez‐Calvet M, Grau‐Rivera O, Brugulat‐Serrat A, Sánchez‐Benavides G, Esteller M, Fauria K, Molinuevo JL, Navarro A, Gispert JD. Genetic characterization of the ALFA study: Uncovering genetic profiles in the Alzheimer's continuum. Alzheimers Dement 2024; 20:1703-1715. [PMID: 38088508 PMCID: PMC10984507 DOI: 10.1002/alz.13537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 09/12/2023] [Accepted: 10/11/2023] [Indexed: 03/16/2024]
Abstract
INTRODUCTION In 2013, the ALzheimer's and FAmilies (ALFA) project was established to investigate pathophysiological changes in preclinical Alzheimer's disease (AD), and to foster research on early detection and preventive interventions. METHODS We conducted a comprehensive genetic characterization of ALFA participants with respect to neurodegenerative/cerebrovascular diseases, AD biomarkers, brain endophenotypes, risk factors and aging biomarkers. We placed particular emphasis on amyloid/tau status and assessed gender differences. Multiple polygenic risk scores were computed to capture different aspects of genetic predisposition. We additionally compared AD risk in ALFA to that across the full disease spectrum from the Alzheimer's Disease Neuroimaging Initiative (ADNI). RESULTS Results show that the ALFA project has been successful at establishing a cohort of cognitively unimpaired individuals at high genetic predisposition of AD. DISCUSSION It is, therefore, well-suited to study early pathophysiological changes in the preclinical AD continuum. Highlights Prevalence of ε4 carriers in ALzheimer and FAmilies (ALFA) is higher than in the general European population The ALFA study is highly enriched in Alzheimer's disease (AD) genetic risk factors beyond APOE AD genetic profiles in ALFA are similar to clinical groups along the continuum ALFA has succeeded in establishing a cohort of cognitively unimpaired individuals at high genetic AD risk ALFA is well suited to study pathogenic events/early pathophysiological changes in AD.
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Affiliation(s)
- Natalia Vilor‐Tejedor
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Centre for Genomic Regulation (CRG)The Barcelona Institute for Science and TechnologyBarcelonaSpain
- Department of Clinical GeneticsErasmus University Medical CenterRotterdamNetherlands
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
| | - Patricia Genius
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Centre for Genomic Regulation (CRG)The Barcelona Institute for Science and TechnologyBarcelonaSpain
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
| | - Blanca Rodríguez‐Fernández
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Centre for Genomic Regulation (CRG)The Barcelona Institute for Science and TechnologyBarcelonaSpain
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
| | - Carolina Minguillón
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBER‐FES)Instituto de Salud Carlos IIIMadridSpain
| | - Iman Sadeghi
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Centre for Genomic Regulation (CRG)The Barcelona Institute for Science and TechnologyBarcelonaSpain
| | - Armand González‐Escalante
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
- Department of Medicine and Life SciencesUniversitat Pompeu FabraBarcelonaSpain
| | - Marta Crous‐Bou
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Department of EpidemiologyHarvard T.H. Chan School of Public Health. School of Public Health 2BostonMassachusettsUSA
- Catalan Institute of Oncology (ICO)‐Bellvitge Biomedical Research Center (IDIBELL)Hospital Duran i ReynalsBarcelonaSpain
| | - Marc Suárez‐Calvet
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBER‐FES)Instituto de Salud Carlos IIIMadridSpain
- Servei de NeurologiaHospital del MarBarcelonaSpain
| | - Oriol Grau‐Rivera
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBER‐FES)Instituto de Salud Carlos IIIMadridSpain
- Servei de NeurologiaHospital del MarBarcelonaSpain
| | - Anna Brugulat‐Serrat
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBER‐FES)Instituto de Salud Carlos IIIMadridSpain
- Global Brain Health InstituteSan FranciscoCaliforniaUSA
| | - Gonzalo Sánchez‐Benavides
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBER‐FES)Instituto de Salud Carlos IIIMadridSpain
| | - Manel Esteller
- Cancer Epigenetics, Josep Carreras Leukaemia Research Institute (IJC)BarcelonaSpain
- Centro de Investigación Biomédica en Red Cáncer (CIBERONC), Instituto de Salud Carlos IIIMadridSpain
- Integrated Pharmacology and Systems NeurosciencesIMIM‐Hospital del Mar Medical Research InstituteBarcelonaSpain
- Institució Catalana de Recerca i Estudis Avançats (ICREA)BarcelonaSpain
- Physiological Sciences DepartmentSchool of Medicine and Health SciencesUniversity of Barcelona (UB)BarcelonaSpain
| | - Karine Fauria
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Centro de Investigación Biomédica en Red de Fragilidad y Envejecimiento Saludable (CIBER‐FES)Instituto de Salud Carlos IIIMadridSpain
| | - José Luis Molinuevo
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Experimental Medicine, H. Lundbeck A/SKøbenhavnDenmark
| | - Arcadi Navarro
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Centre for Genomic Regulation (CRG)The Barcelona Institute for Science and TechnologyBarcelonaSpain
- Department of Medicine and Life SciencesUniversitat Pompeu FabraBarcelonaSpain
- Institució Catalana de Recerca i Estudis Avançats (ICREA)BarcelonaSpain
- Department of Experimental and Health SciencesInstitute of Evolutionary Biology (CSIC‐UPF)BarcelonaSpain
| | - Juan Domingo Gispert
- Barcelonaβeta Brain Research Center (BBRC)Pasqual Maragall FoundationBarcelonaSpain
- Neurosciences Programme, IMIM ‐ Hospital del Mar Medical Research InstituteBarcelonaSpain
- Department of Medicine and Life SciencesUniversitat Pompeu FabraBarcelonaSpain
- Centro de Investigación Biomédica en Red BioingenieríaBiomateriales y Nanomedicina. Instituto de Salud carlos IIIMadridSpain
- Centro Nacional de Investigaciones Cardiovasculares (CNIC)MadridSpain
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Zhang X, Yu SL, Qi LM, Xia LN, Yang QT. Association of educational attainment with hypertension and type-2 diabetes: A Mendelian randomization study. SSM Popul Health 2024; 25:101585. [PMID: 38283548 PMCID: PMC10821170 DOI: 10.1016/j.ssmph.2023.101585] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/17/2023] [Accepted: 12/13/2023] [Indexed: 01/30/2024] Open
Abstract
BACKGROUNDDue to the long time interval between exposure and outcome, it is difficult to infer the causal relationship between educational attainment (EA) and common chronic diseases. Therefore, we utilized Mendelian randomization (MR) to predict the causal relationships of EA with hypertension and type-2 diabetes (T2DM). METHODSA two-sample MR analysis was conducted using genome-wide association studies (GWASs) combined with inferential measurements. A GWAS meta-analysis including 1,131,881 European individuals was used to identify instruments for EA. Hypertension and T2DM data were obtained from a Finnish database. MR analyses were performed using inverse-variance weighted meta-analysis (IVW), weighted median regression, MR‒Egger regression, simple mode regression, weighted mode regression and the MR-Pleiotropy RESidual Sum and Outlier test. Sensitivity analyses were further performed using the leave-one-out method to test the robustness of our findings. RESULTSUsing the MR approach, our results showed that EA was significantly associated with a reduced risk of hypertension (OR = 0.63; P = 2.94 × 10-47; [95% CI: 0.59, 0.67]) and type-2 diabetes (OR = 0.59; P = 1.25 × 10-16; [95% CI: 0.52, 0.67]). CONCLUSIONSThis study showed that EA is causally linked to the risk of chronic diseases, including high blood pressure and T2DM.
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Affiliation(s)
- Xin Zhang
- Rehabilitation Traditional Chinese Medicine Department, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, 353000, China
| | - Shi-liang Yu
- Rehabilitation Traditional Chinese Medicine Department, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, 353000, China
| | - Lu-ming Qi
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 610075, China
| | - Li-na Xia
- School of Health Preservation and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 610075, China
- State Administration of Traditional Chinese Medicine Key Laboratory of Traditional Chinese Medicine, Regimen and Health, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, 610075, China
| | - Qing-tang Yang
- Rehabilitation Traditional Chinese Medicine Department, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, Fujian, 353000, China
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Satny M, Todorovova V, Altschmiedova T, Hubacek JA, Dlouha L, Lanska V, Soska V, Kyselak O, Freiberger T, Bobak M, Vrablik M. Genetic risk score in patients with the APOE2/E2 genotype as a predictor of familial dysbetalipoproteinemia. J Clin Lipidol 2024; 18:e230-e237. [PMID: 38044203 DOI: 10.1016/j.jacl.2023.11.010] [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: 02/28/2023] [Revised: 11/09/2023] [Accepted: 11/17/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND Familial dysbetalipoproteinemia (FD) is an autosomal recessive (rarely dominant) inherited disorder that is almost exclusively associated with the apolipoprotein E gene (APOE) variability. Nonetheless, only a small proportion of APOE2/E2 subjects develop the phenotype for mixed dyslipidemia; the context of other trigger metabolic or genetic factors remains unknown. METHODS One hundred and one patients with FD and eighty controls (all APOE2/E2 homozygotes; rs429358) were screened for 18 single-nucleotide polymorphisms (SNPs) within the genes involved in triglyceride metabolism. RESULTS Two SNPs were significantly associated with the FD phenotype (rs439401 within APOE; P < 0.0005 and rs964184 within ZPR1/APOA5/A4/C3/A1 gene cluster; P < 0.0001). Unweighted genetic risk scores - from these two SNPs (GRS2), and, also, additional 13 SNPs with P-value below 0.9 (GRS15) - were created as an additional tool to improve the risk estimation of FD development in subjects with the APOE2/E2 genotype. Both GRS2 and GRS15 were significantly (P < 0.0001) increased in patients and both GRSs discriminated almost identically between the groups (P = 0.86). Subjects with an unweighted GRS2 of three or more had an almost four-fold higher risk of FD development than other individuals (odds ratio (OR) 3.58, 95% confidence interva (CI): 1.78-7.18, P < 0.0005). CONCLUSIONS We identified several SNPs that are individual additive factors influencing FD development. The use of unweighted GRS2 is a simple and clinically relevant tool that further improves the prediction of FD in APOE2/E2 homozygotes with corresponding biochemical characteristics.
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Affiliation(s)
- Martin Satny
- 3rd Department of Internal Medicine, First Faculty of Medicine Charles University, General University Hospital, Prague, Czech Republic (Drs Satny, Todorovova, Altschmiedova, Hubacek and Vrablik).
| | - Veronika Todorovova
- 3rd Department of Internal Medicine, First Faculty of Medicine Charles University, General University Hospital, Prague, Czech Republic (Drs Satny, Todorovova, Altschmiedova, Hubacek and Vrablik)
| | - Tereza Altschmiedova
- 3rd Department of Internal Medicine, First Faculty of Medicine Charles University, General University Hospital, Prague, Czech Republic (Drs Satny, Todorovova, Altschmiedova, Hubacek and Vrablik)
| | - Jaroslav A Hubacek
- 3rd Department of Internal Medicine, First Faculty of Medicine Charles University, General University Hospital, Prague, Czech Republic (Drs Satny, Todorovova, Altschmiedova, Hubacek and Vrablik); Centre of Experimental Medicine, Institute of Clinical and Experimental Medicine, Prague, Czech Republic (Drs Hubacek and Lanska)
| | - Lucie Dlouha
- Department of Anthropology and Human Genetics, Faculty of Science, Charles University, Prague, Czech Republic (Dr Dlouha)
| | - Vera Lanska
- Centre of Experimental Medicine, Institute of Clinical and Experimental Medicine, Prague, Czech Republic (Drs Hubacek and Lanska)
| | - Vladimir Soska
- Clinical Biochemistry Department, St. Anne University Hospital, Brno, Czech Republic (Drs Soska and Kyselak); 2nd Internal Department, Faculty of Medicine Masaryk University and St. Anne University Hospital, Brno, Czech Republic (Drs Soska and Kyselak)
| | - Ondrej Kyselak
- Clinical Biochemistry Department, St. Anne University Hospital, Brno, Czech Republic (Drs Soska and Kyselak); 2nd Internal Department, Faculty of Medicine Masaryk University and St. Anne University Hospital, Brno, Czech Republic (Drs Soska and Kyselak)
| | - Tomas Freiberger
- Centre for Cardiovascular Surgery and Transplantation, Brno, and Medical Faculty, Masaryk University, Brno, Czech Republic (Dr Freiberger)
| | - Martin Bobak
- Institute of Epidemiology and Health Care, University College London, London WC1E 7HB, United Kingdom, and Medical Faculty, Masaryk University, Brno, Czech Republic (Dr Bobak)
| | - Michal Vrablik
- 3rd Department of Internal Medicine, First Faculty of Medicine Charles University, General University Hospital, Prague, Czech Republic (Drs Satny, Todorovova, Altschmiedova, Hubacek and Vrablik)
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Lin L, Kiryakos J, Ammous F, Ratliff SM, Ware EB, Faul JD, Kardia SLR, Zhao W, Birditt KS, Smith JA. Epigenetic age acceleration is associated with blood lipid levels in a multi-ancestry sample of older U.S. adults. RESEARCH SQUARE 2024:rs.3.rs-3934965. [PMID: 38464171 PMCID: PMC10925395 DOI: 10.21203/rs.3.rs-3934965/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Background Dyslipidemia, which is characterized by an unfavorable lipid profile, is a key risk factor for cardiovascular disease (CVD). Understanding the relationships between epigenetic aging and lipid levels may help guide early prevention and treatment efforts for dyslipidemia. Methods We used weighted linear regression to cross-sectionally investigate the associations between five measures of epigenetic age acceleration estimated from whole blood DNA methylation (HorvathAge Acceleration, HannumAge Acceleration, PhenoAge Acceleration, GrimAge Acceleration, and DunedinPACE) and four blood lipid measures (total cholesterol (TC), LDL-C, HDL-C, and triglycerides (TG)) in 3,813 participants (mean age = 70 years) from the Health and Retirement Study (HRS). As a sensitivity analysis, we examined the same associations in participants who fasted prior to the blood draw (n = and f) and in participants who did not take lipid-lowering medication (n = 1,869). Using interaction models, we also examined whether the relationships between epigenetic age acceleration and blood lipids differ by demographic factors including age, sex, and educational attainment. Results After adjusting for age, race/ethnicity, sex, fasting status, and lipid-lowering medication use, greater epigenetic age acceleration was associated with lower TC, HDL-C, and LDL-C, and higher TG (p < 0.05). GrimAge acceleration and DunedinPACE associations with all lipids remained significant after further adjusting for body mass index, smoking status, and educational attainment. These associations were stronger in participants who fasted and who did not use lipid-lowering medication, particularly for LDL-C. We observed the largest number of interactions between DunedinPACE and demographic factors, where the associations with lipids were stronger in younger participants, females, and those with higher educational attainment. Conclusion Epigenetic age acceleration, a powerful biomarker of cellular aging, is highly associated with blood lipid levels in older adults. A greater understanding of how these associations differ across demographic groups can help shed light on the relationships between aging and downstream cardiovascular diseases. The inverse associations between epigenetic age and TC and LDL-C could be due to sample limitations or the non-linear relationship between age and these lipids, as both TC and LDL-C decrease faster at older ages. More studies are needed to further understand the temporal relationships between epigenetic age acceleration on blood lipids and other health outcomes.
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Affiliation(s)
- Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Jenna Kiryakos
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Farah Ammous
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Erin B Ware
- Survey Research Center, Institute for Social Research, University of Michigan
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan
| | - Kira S Birditt
- Survey Research Center, Institute for Social Research, University of Michigan
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan
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Abbas M, Diallo A, Goodney G, Gaye A. Leveraging the transcriptome to further our understanding of GWAS findings: eQTLs associated with genes related to LDL and LDL subclasses, in a cohort of African Americans. Front Genet 2024; 15:1345541. [PMID: 38384714 PMCID: PMC10879560 DOI: 10.3389/fgene.2024.1345541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 01/16/2024] [Indexed: 02/23/2024] Open
Abstract
Background: GWAS discoveries often pose a significant challenge in terms of understanding their underlying mechanisms. Further research, such as an integration with expression quantitative trait locus (eQTL) analyses, are required to decipher the mechanisms connecting GWAS variants to phenotypes. An eQTL analysis was conducted on genes associated with low-density lipoprotein (LDL) cholesterol and its subclasses, with the aim of pinpointing genetic variants previously implicated in GWAS studies focused on lipid-related traits. Notably, the study cohort consisted of African Americans, a population characterized by a heightened prevalence of hypercholesterolemia. Methods: A comprehensive differential expression (DE) analysis was undertaken, with a dataset of 17,948 protein-coding mRNA transcripts extracted from the whole-blood transcriptomes of 416 samples to identify mRNA transcripts associated with LDL, with further granularity delineated between small LDL and large LDL subclasses. Subsequently, eQTL analysis was conducted with a subset of 242 samples for which whole-genome sequencing data were available to identify single-nucleotide polymorphisms (SNPs) associated with the LDL-related mRNA transcripts. Lastly, plausible functional connections were established between the identified eQTLs and genetic variants reported in the GWAS catalogue. Results: DE analysis revealed 1,048, 284, and 94 mRNA transcripts that exhibited differential expression in response to LDL, small LDL, and large LDL, respectively. The eQTL analysis identified a total of 9,950 significant SNP-mRNA associations involving 6,955 SNPs including a subset 101 SNPs previously documented in GWAS of LDL and LDL-related traits. Conclusion: Through comprehensive differential expression analysis, we identified numerous mRNA transcripts responsive to LDL, small LDL, and large LDL. Subsequent eQTL analysis revealed a rich landscape of eQTL-mRNA associations, including a subset of eQTL reported in GWAS studies of LDL and related traits. The study serves as a testament to the important role of integrative genomics in unraveling the enigmatic GWAS relationships between genetic variants and the complex fabric of human traits and diseases.
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Affiliation(s)
- Malak Abbas
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Ana Diallo
- School of Nursing, Virginia Commonwealth University, Richmond, VA, United States
| | - Gabriel Goodney
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
| | - Amadou Gaye
- National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, United States
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Manco L, Albuquerque D, Rodrigues D, Machado-Rodrigues AM, Padez C. Protective Association of APOC1/rs4420638 with Risk of Obesity: A case-control Study in Portuguese Children. Biochem Genet 2024; 62:254-263. [PMID: 37328602 PMCID: PMC10902077 DOI: 10.1007/s10528-023-10427-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 06/07/2023] [Indexed: 06/18/2023]
Abstract
The association of the rs4420638 polymorphism, near the APOC1 gene, was examined with the risk of obesity among Portuguese children. A sample of 446 Portuguese individuals (231 boys and 215 girls) of European descent, aged 3.2 to 13.7 years old (mean age: 7.98 years), were selected to conduct a case-control study. Body mass index (BMI), BMI Z-scores, and waist circumference were calculated. Genotyping was performed by real time PCR using a pre-designed TaqMan probe. Logistic regression and the nonparametric Mann-Whitney test were used to test the associations. The association results revealed a significant protective effect from the minor G-allele of SNP rs4420638 against obesity, with an odds ratio (OR) of 0.619 (95% CI 0.421-0.913; p = 0.0155) in the additive model, and OR of 0.587 (95% CI 0.383-0.9; p = 0.0145) in the dominant model. Moreover, comparing genotype groups (AA vs. AG + GG), significantly lower values (p < 0.05) for the anthropometric traits weight, height, BMI, BMI Z-score and waist circumference, were observed in the carriers of allele G. The present study provides further evidence for the APOE/APOC1 candidate-region association with the risk of obesity. This was the first study to describe the protective association of the rs4420638 minor G-allele against obesity in childhood exclusively.
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Affiliation(s)
- Licínio Manco
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, 3000, Portugal.
- Department of Life Sciences, University of Coimbra, Coimbra, Portugal.
| | - David Albuquerque
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, 3000, Portugal
| | - Daniela Rodrigues
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, 3000, Portugal
| | - Aristides M Machado-Rodrigues
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, 3000, Portugal
- Faculty of Sport Sciences and Physical Education, University of Coimbra, Coimbra, Portugal
| | - Cristina Padez
- Research Centre for Anthropology and Health (CIAS), University of Coimbra, Coimbra, 3000, Portugal
- Department of Life Sciences, University of Coimbra, Coimbra, Portugal
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Matulevičiūtė I, Tatarūnas V, Skipskis V, Čiapienė I, Veikutienė A, Lesauskaitė V, Dobilienė O, Žaliūnienė D. Coronary artery disease, its associations with ocular, genetic and blood lipid parameters. Eye (Lond) 2024; 38:372-379. [PMID: 37587376 PMCID: PMC10810895 DOI: 10.1038/s41433-023-02703-9] [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: 03/13/2023] [Revised: 07/31/2023] [Accepted: 08/07/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND/OBJECTIVES To investigate the associations between ophthalmic parameters, CYP4F2 (rs2108622) and ABCA1 (rs1883025) polymorphisms and coronary artery disease, considering the accessibility, non-invasive origin of retinal examination and its possible resemblance to coronary arteries. SUBJECTS/METHODS Overall 165 participants divided into groups based on the coronary angiography results and clinical status: control group (N = 73), MI group (N = 63), 3VD (three vessel disease) (N = 24). All the participants underwent total ophthalmic examination - optical coherence tomography (OCT) and OCT angiography of the macula region were performed and evaluated. Total cholesterol, high-density lipoprotein, low-density lipoprotein and triglyceride cholesterol (Tg-C) were tested. A standard manufacturer's protocol for CYP4F2 (rs2108622) and ABCA1 (rs1883025) was used for genotyping with TaqMan probes. RESULTS GCL+ layer was thicker in control group vs. 3VD group (74.00; 62.67-94.67 (median; min.-max.) vs. 71.06; 51.33-78.44, p = 0.037). T allele carriers under ABCA1 rs1883025 dominant model were shown to have ticker retina and smaller foveal avascular zone in superficial capillary plexus and smaller Tg-C concentration. ABCA1 rs1883025 was associated with retinal thickness (OR = 0.575, 95% CI 0.348-0.948, p = 0.030). Univariate logistic regression showed that ABCA1 rs1883025 CT genotype is associated with decreased risk for coronary artery disease development under overdominant genetic model (OR = 0.498, 95% CI 0.254-0.976; p = 0.042) and codominant genetic model (OR = 0.468, 95% CI 0.232-0.945, p = 0.034). CONCLUSIONS Results of this study confirmed that non-invasive methods such as OCT of eye might be used for identification of patients at risk of CAD.
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Affiliation(s)
- Indrė Matulevičiūtė
- Department of Ophthalmology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
| | - Vacis Tatarūnas
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Vilius Skipskis
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Ieva Čiapienė
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Audronė Veikutienė
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Vaiva Lesauskaitė
- Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Olivija Dobilienė
- Department of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
| | - Dalia Žaliūnienė
- Department of Ophthalmology, Lithuanian University of Health Sciences, Kaunas, Lithuania
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Oliveri A, Rebernick RJ, Kuppa A, Pant A, Chen Y, Du X, Cushing KC, Bell HN, Raut C, Prabhu P, Chen VL, Halligan BD, Speliotes EK. Comprehensive genetic study of the insulin resistance marker TG:HDL-C in the UK Biobank. Nat Genet 2024; 56:212-221. [PMID: 38200128 PMCID: PMC10923176 DOI: 10.1038/s41588-023-01625-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 11/28/2023] [Indexed: 01/12/2024]
Abstract
Insulin resistance (IR) is a well-established risk factor for metabolic disease. The ratio of triglycerides to high-density lipoprotein cholesterol (TG:HDL-C) is a surrogate marker of IR. We conducted a genome-wide association study of the TG:HDL-C ratio in 402,398 Europeans within the UK Biobank. We identified 369 independent SNPs, of which 114 had a false discovery rate-adjusted P value < 0.05 in other genome-wide studies of IR making them high-confidence IR-associated loci. Seventy-two of these 114 loci have not been previously associated with IR. These 114 loci cluster into five groups upon phenome-wide analysis and are enriched for candidate genes important in insulin signaling, adipocyte physiology and protein metabolism. We created a polygenic-risk score from the high-confidence IR-associated loci using 51,550 European individuals in the Michigan Genomics Initiative. We identified associations with diabetes, hyperglyceridemia, hypertension, nonalcoholic fatty liver disease and ischemic heart disease. Collectively, this study provides insight into the genes, pathways, tissues and subtypes critical in IR.
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Affiliation(s)
- Antonino Oliveri
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Ryan J Rebernick
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Annapurna Kuppa
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Asmita Pant
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Yanhua Chen
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Xiaomeng Du
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Kelly C Cushing
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Hannah N Bell
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA
| | - Chinmay Raut
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Ponnandy Prabhu
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Vincent L Chen
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Brian D Halligan
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA
| | - Elizabeth K Speliotes
- Division of Gastroenterology and Hepatology, University of Michigan Health System, Ann Arbor, MI, USA.
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, MI, USA.
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Perswani P, Ismail SM, Mumtaz H, Uddin N, Asfand M, Khalil ABB, Ijlal A, Khan SE, Usman M, Younas H, Rai A. Rethinking HDL-C: An In-Depth Narrative Review of Its Role in Cardiovascular Health. Curr Probl Cardiol 2024; 49:102152. [PMID: 37852560 DOI: 10.1016/j.cpcardiol.2023.102152] [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: 10/04/2023] [Accepted: 10/14/2023] [Indexed: 10/20/2023]
Abstract
The interplay between HDL-C and LDL levels are closely intertwined with the cardiovascular system. High-Density Lipoprotein Cholesterol (HDL-C) is a well-known biomarker traditionally being interpreted as higher the HDL-C levels, minimal the risk of adverse cardiovascular disease (CVD) outcomes. However, recent research has unveiled a more complex relationship between HDL-C levels and cardiovascular outcomes, including genetic influences and potential risks associated with extremely high HDL-C levels. Intriguingly, extremely high HDL-C levels have been linked to unexpected cardiovascular risks. Up To date research suggests that individuals with genetically linked ultra-high HDL-C levels may depict an increased susceptibility to CVD, challenging the conventional realm that higher HDL-C is always beneficial. The mechanisms underlying this mystery are not fully understood but may involve HDL particle functionality and composition. In a nutshell, the relationship between HDL-C levels and cardiovascular outcomes is multifactorial. While low HDL-C remains a recognized risk factor for CVD, the genetic determinants of HDL-C levels add complexity to this association. Furthermore, extremely high HDL-C levels may not exhibit the expected protective benefits and may even pose unprecedented cardiovascular risks. A comprehensive understanding of these dynamics is essential for advancing our knowledge of CVD risk assessment and developing targeted therapeutic interventions. Further studies are needed to unravel the intricacies of HDL-C's role in cardiovascular health and disease.
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Affiliation(s)
| | | | - Hassan Mumtaz
- Care Coordinator: Association for Social Development, Islamabad, Pakistan; International Practitioner: Faculty of Public Health UK.
| | - Naseer Uddin
- Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan.
| | | | | | - Aisha Ijlal
- South City Institute of physical therapy and rehabilitation, Karachi.
| | - Shaheer Ellahi Khan
- Associate Professor of Public Health: Health services Academy, Islamabad, Pakistan; Adjunct Professor: Dala Lana School Of Public Health, University of Toronto, Canada.
| | | | - Hadia Younas
- Services institute of medical Sciences, Lahore, Pakistan.
| | - Anushree Rai
- Govt. Chhattisgarh institute of Medical sciences, Bilaspur, Chhattisgarh, India.
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Alves M, Laranjeira F, Correia-da-Silva G. Understanding Hypertriglyceridemia: Integrating Genetic Insights. Genes (Basel) 2024; 15:190. [PMID: 38397180 PMCID: PMC10887881 DOI: 10.3390/genes15020190] [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: 12/06/2023] [Revised: 01/24/2024] [Accepted: 01/25/2024] [Indexed: 02/25/2024] Open
Abstract
Hypertriglyceridemia is an exceptionally complex metabolic disorder characterized by elevated plasma triglycerides associated with an increased risk of acute pancreatitis and cardiovascular diseases such as coronary artery disease. Its phenotype expression is widely heterogeneous and heavily influenced by conditions as obesity, alcohol consumption, or metabolic syndromes. Looking into the genetic underpinnings of hypertriglyceridemia, this review focuses on the genetic variants in LPL, APOA5, APOC2, GPIHBP1 and LMF1 triglyceride-regulating genes reportedly associated with abnormal genetic transcription and the translation of proteins participating in triglyceride-rich lipoprotein metabolism. Hypertriglyceridemia resulting from such genetic abnormalities can be categorized as monogenic or polygenic. Monogenic hypertriglyceridemia, also known as familial chylomicronemia syndrome, is caused by homozygous or compound heterozygous pathogenic variants in the five canonical genes. Polygenic hypertriglyceridemia, also known as multifactorial chylomicronemia syndrome in extreme cases of hypertriglyceridemia, is caused by heterozygous pathogenic genetic variants with variable penetrance affecting the canonical genes, and a set of common non-pathogenic genetic variants (polymorphisms, using the former nomenclature) with well-established association with elevated triglyceride levels. We further address recent progress in triglyceride-lowering treatments. Understanding the genetic basis of hypertriglyceridemia opens new translational opportunities in the scope of genetic screening and the development of novel therapies.
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Affiliation(s)
- Mara Alves
- Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal;
| | - Francisco Laranjeira
- CGM—Centro de Genética Médica Jacinto de Magalhães, Centro Hospitalar Universitário de Santo António (CHUdSA), 4099-028 Porto, Portugal;
- UMIB—Unit for Multidisciplinary Research in Biomedicine, ICBAS—School of Medicine and Biomedical Sciences, University of Porto, 4050-346 Porto, Portugal
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-600 Porto, Portugal
| | - Georgina Correia-da-Silva
- UCIBIO Applied Molecular Biosciences Unit and Associate Laboratory i4HB—Institute for Health and Bioeconomy Laboratory of Biochemistry, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
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Fularski P, Hajdys J, Majchrowicz G, Stabrawa M, Młynarska E, Rysz J, Franczyk B. Unveiling Familial Hypercholesterolemia-Review, Cardiovascular Complications, Lipid-Lowering Treatment and Its Efficacy. Int J Mol Sci 2024; 25:1637. [PMID: 38338916 PMCID: PMC10855128 DOI: 10.3390/ijms25031637] [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: 12/30/2023] [Revised: 01/19/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
Familial hypercholesterolemia (FH) is a genetic disorder primarily transmitted in an autosomal-dominant manner. We distinguish two main forms of FH, which differ in the severity of the disease, namely homozygous familial hypercholesterolemia (HoFH) and heterozygous familial hypercholesterolemia (HeFH). The characteristic feature of this disease is a high concentration of low-density lipoprotein cholesterol (LDL-C) in the blood. However, the level may significantly vary between the two mentioned types of FH, and it is decidedly higher in HoFH. A chronically elevated concentration of LDL-C in the plasma leads to the occurrence of certain abnormalities, such as xanthomas in the tendons and skin, as well as corneal arcus. Nevertheless, a significantly more severe phenomenon is leading to the premature onset of cardiovascular disease (CVD) and its clinical implications, such as cardiac events, stroke or vascular dementia, even at a relatively young age. Due to the danger posed by this medical condition, we have investigated how both non-pharmacological and selected pharmacological treatment impact the course of FH, thereby reducing or postponing the risk of clinical manifestations of CVD. The primary objective of this review is to provide a comprehensive summary of the current understanding of FH, the effectiveness of lipid-lowering therapy in FH and to explain the anatomopathological correlation between FH and premature CVD development, with its complications.
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Affiliation(s)
- Piotr Fularski
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Joanna Hajdys
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Gabriela Majchrowicz
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Magdalena Stabrawa
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Ewelina Młynarska
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Jacek Rysz
- Department of Nephrology, Hypertension and Family Medicine, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
| | - Beata Franczyk
- Department of Nephrocardiology, Medical University of Lodz, ul. Zeromskiego 113, 90-549 Lodz, Poland
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Walia GK, Panniyammakal J, Agarwal T, Jalal R, Gupta R, Ramakrishnan L, Tandon N, Roy A, Krishnan A, Prabhakaran D. Evaluation of genetic variants related to lipid levels among the North Indian population. Front Genet 2024; 14:1234693. [PMID: 38348409 PMCID: PMC10859749 DOI: 10.3389/fgene.2023.1234693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/31/2023] [Indexed: 02/15/2024] Open
Abstract
Background: A heavy burden of cardiometabolic conditions on low- and middle-income countries like India that are rapidly undergoing urbanization remains unaddressed. Indians are known to have high levels of triglycerides and low levels of HDL-C along with moderately higher levels of LDL-C. The genome-wide findings from Western populations need to be validated in an Indian context for a better understanding of the underlying etiology of dyslipidemia in India. Objective: We aim to validate 12 genetic variants associated with lipid levels among rural and urban Indian populations and derive unweighted and weighted genetic risk scores (uGRS and wGRS) for lipid levels among the Indian population. Methods: Assuming an additive model of inheritance, linear regression models adjusted for all the possible covariates were run to examine the association between 12 genetic variants and total cholesterol, triglycerides, HDL-C, LDL-C, and VLDL-C among 2,117 rural and urban Indian participants. The combined effect of validated loci was estimated by allelic risk scores, unweighted and weighted by their effect sizes. Results: The wGRS for triglycerides and VLDL-C was derived based on five associated variants (rs174546 at FADS1, rs17482753 at LPL, rs2293889 at TRPS1, rs4148005 at ABCA8, and rs4420638 at APOC1), which was associated with 36.31 mg/dL of elevated triglyceride and VLDL-C levels (β = 0.95, SE = 0.16, p < 0.001). Similarly, every unit of combined risk score (rs2293889 at TRPS1 and rs4147536 at ADH1B) was associated with 40.62 mg/dL of higher total cholesterol (β = 1.01, SE = 0.23, p < 0.001) and 33.97 mg/dL of higher LDL-C (β = 1.03, SE = 0.19, p < 0.001) based on its wGRS (rs2293889 at TRPS1, rs4147536 at ADH1B, rs4420638 at APOC1, and rs660240 at CELSR2). The wGRS derived from five associated variants (rs174546 at FADS1, rs17482753 at LPL, rs4148005 at ABCA8, rs4420638 at APOC1, and rs7832643 at PLEC) was associated with 10.64 mg/dL of lower HDL-C (β = -0.87, SE = 0.14, p < 0.001). Conclusion: We confirm the role of eight genome-wide association study (GWAS) loci related to different lipid levels in the Indian population and demonstrate the combined effect of variants for lipid traits among Indians by deriving the polygenic risk scores. Similar studies among different populations are required to validate the GWAS loci and effect modification of these loci by lifestyle and environmental factors related to urbanization.
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Affiliation(s)
- Gagandeep Kaur Walia
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
| | - Jeemon Panniyammakal
- Centre for Chronic Disease Control, New Delhi, India
- Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India
| | - Tripti Agarwal
- Indian Institute of Public Health-Delhi, New Delhi, India
| | - Ruchita Jalal
- Indian Institute of Public Health-Delhi, New Delhi, India
| | - Ruby Gupta
- Centre for Chronic Disease Control, New Delhi, India
| | | | - Nikhil Tandon
- Indian Institute of Public Health-Delhi, New Delhi, India
| | - Ambuj Roy
- Indian Institute of Public Health-Delhi, New Delhi, India
| | - Anand Krishnan
- Indian Institute of Public Health-Delhi, New Delhi, India
| | - Dorairaj Prabhakaran
- Public Health Foundation of India, New Delhi, India
- Centre for Chronic Disease Control, New Delhi, India
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Nebert DW. Gene-Environment Interactions: My Unique Journey. Annu Rev Pharmacol Toxicol 2024; 64:1-26. [PMID: 37788491 DOI: 10.1146/annurev-pharmtox-022323-082311] [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] [Indexed: 10/05/2023]
Abstract
I am deeply honored to be invited to write this scientific autobiography. As a physician-scientist, pediatrician, molecular biologist, and geneticist, I have authored/coauthored more than 600 publications in the fields of clinical medicine, biochemistry, biophysics, pharmacology, drug metabolism, toxicology, molecular biology, cancer, standardized gene nomenclature, developmental toxicology and teratogenesis, mouse genetics, human genetics, and evolutionary genomics. Looking back, I think my career can be divided into four distinct research areas, which I summarize mostly chronologically in this article: (a) discovery and characterization of the AHR/CYP1 axis, (b) pharmacogenomics and genetic prediction of response to drugs and other environmental toxicants, (c) standardized drug-metabolizing gene nomenclature based on evolutionary divergence, and (d) discovery and characterization of the SLC39A8 gene encoding the ZIP8 metal cation influx transporter. Collectively, all four topics embrace gene-environment interactions, hence the title of my autobiography.
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Affiliation(s)
- Daniel W Nebert
- Department of Environmental and Public Health Sciences and Center for Environmental Genetics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
- Department of Pediatrics and Molecular Developmental Biology, Division of Human Genetics, Cincinnati Children's Hospital, Cincinnati, Ohio, USA;
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44
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Hubacek JA, Adamkova V, Lanska V, Staněk V, Mrázková J, Gebauerová M, Kettner J, Kautzner J, Pitha J. Cholesterol associated genetic risk score and acute coronary syndrome in Czech males. Mol Biol Rep 2024; 51:164. [PMID: 38252350 PMCID: PMC10803395 DOI: 10.1007/s11033-023-09128-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 12/07/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND Despite a general decline in mean levels across populations, LDL-cholesterol levels remain a major risk factor for acute coronary syndrome (ACS). The APOB, LDL-R, CILP, and SORT-1 genes have been shown to contain variants that have significant effects on plasma cholesterol levels. METHODS AND RESULTS We examined polymorphisms within these genes in 1191 controls and 929 patients with ACS. Only rs646776 within SORT-1 was significantly associated with a risk of ACS (P < 0.05, AA vs. + G comparison; OR 1.21; 95% CI 1.01-1.45). With regard to genetic risk score (GRS), the presence of at least 7 alleles associated with elevated cholesterol levels was connected with increased risk (P < 0.01) of ACS (OR 1.26; 95% CI 1.06-1.52). Neither total mortality nor CVD mortality in ACS subjects (follow up-9.84 ± 3.82 years) was associated with the SNPs analysed or cholesterol-associated GRS. CONCLUSIONS We conclude that, based on only a few potent SNPs known to affect plasma cholesterol, GRS has the potential to predict ACS risk, but not ACS associated mortality.
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Affiliation(s)
- Jaroslav A Hubacek
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, IKEM-CEM-LMG, Videnska 1958/9, 140 21, Prague 4, Czech Republic.
- 3rd Department of Internal Medicine, 1st Faculty of Medicine, Charles University, Prague, Czech Republic.
| | - Vera Adamkova
- Preventive Cardiology Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Vera Lanska
- Information Technology Division, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Vladimir Staněk
- Cardiac Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Jolana Mrázková
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, IKEM-CEM-LMG, Videnska 1958/9, 140 21, Prague 4, Czech Republic
| | - Marie Gebauerová
- Cardiac Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Jiri Kettner
- Cardiac Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Josef Kautzner
- Cardiac Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Jan Pitha
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, IKEM-CEM-LMG, Videnska 1958/9, 140 21, Prague 4, Czech Republic
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45
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Uehara Y, Komatsu T, Sasaki K, Abe S, Nakashima S, Yamamoto T, Kim JE, Cho KH. Cuban policosanol improves high-density lipoprotein cholesterol efflux capacity in healthy Japanese subjects. Front Nutr 2024; 10:1297008. [PMID: 38260075 PMCID: PMC10800607 DOI: 10.3389/fnut.2023.1297008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Policosanol supplementation has been reported to increase high-density lipoprotein (HDL)-cholesterol (HDL-C). However, the association between Cuban policosanol supplementation and HDL cholesterol efflux capacity (CEC), an important function of HDL, remains unclear. We performed a lipoprotein analysis investigating 32 Japanese healthy participants (placebo, n = 17 or policosanol supplementation for 12 weeks, n = 15) from a randomized Cuban policosanol clinical trial. First, HDL CEC and HDL-related factors were measured before and after policosanol supplementation. Then, through electron microscopy after ultracentrifugation and high-performance liquid chromatography, HDL morphology and subclass were analyzed, respectively. Finally, the effects of policosanol supplementation regarding HDL function, HDL-related factors, and HDL morphology/component were examined. Cuban policosanol considerably increased the HDL CEC and HDL-C and apolipoprotein A-I (ApoA-I) levels. Furthermore, policosanol supplementation led to larger HDL particles, increased cholesterol content in larger HDL particles, and reduced triglyceride content in smaller HDL particles. In participants with high baseline HDL-C levels, the policosanol effects for HDL CEC are observed. HDL CEC fluctuation induced by policosanol was highly associated with HDL-C and ApoA-I changes. In conclusion, for the first time, we demonstrated that policosanol supplementation increased the HDL CEC in healthy participants.
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Affiliation(s)
- Yoshinari Uehara
- Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan
- Research Institute for Physical Activity, Fukuoka University, Fukuoka, Japan
- Center for Preventive, Anti-aging and Regenerative Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Tomohiro Komatsu
- Research Institute for Physical Activity, Fukuoka University, Fukuoka, Japan
- Center for Preventive, Anti-aging and Regenerative Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Kei Sasaki
- Center for Preventive, Anti-aging and Regenerative Medicine, Fukuoka University Hospital, Fukuoka, Japan
| | - Satomi Abe
- Research Institute for Physical Activity, Fukuoka University, Fukuoka, Japan
| | - Shihoko Nakashima
- Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan
| | - Taiki Yamamoto
- Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan
| | - Ji-Eun Kim
- Raydel Research Institute, Medical Innovation Complex, Daegu, Republic of Korea
| | - Kyung-Hyun Cho
- Raydel Research Institute, Medical Innovation Complex, Daegu, Republic of Korea
- LipoLab, Yeungnam University, Gyeongsan, Republic of Korea
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46
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Peters U, Tomlinson I. Utilizing Human Genetics to Develop Chemoprevention for Cancer-Too Good an Opportunity to be Missed. Cancer Prev Res (Phila) 2024; 17:7-12. [PMID: 38173394 DOI: 10.1158/1940-6207.capr-22-0523] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 03/20/2023] [Accepted: 12/06/2023] [Indexed: 01/05/2024]
Abstract
Large-scale genetic studies are reliably identifying many risk factors for disease in the general population. Several of these genetic risk factors encode potential drug targets, and genetics has already helped to introduce targeted agents for some diseases, an example being lipid-lowering drugs to reduce the incidence of cardiovascular disease. Multiple drugs have been developed to treat cancers based on somatic mutations and genomics, but in stark contrast, there seems to be a reluctance to use germline genetic data to develop drugs to prevent malignancy, despite the large numbers of people who could benefit, the potential for lowering cancer rates, and the widespread current use of non-pharmaceutical measures to reduce cancer risk factors such as tobacco, alcohol, and infectious diseases. We argue that concerted efforts for cancer prevention based on genetics, including genes influenced by common polymorphisms that modulate cancer risk, are urgently needed. There are enormous, yet underutilized, opportunities to develop novel targeted agents for chemoprevention of cancer based on human germline genetics. Such efforts are likely to require the support of a dedicated funding program by national and international agencies. See related commentary by Winham and Sherman, p. 13.
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Affiliation(s)
- Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center and Department of Epidemiology, University of Washington, Seattle, Washington
| | - Ian Tomlinson
- Department of Oncology, University of Oxford, Oxford, United Kingdom
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47
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Zhang P, Wang K, Hu T, Xu M, You X, Chen M, Tang X, Hu H, Jiang Y, Zhao W, Tan S. A novel fully human anti-NT-ANGPTL3 antibody from phage display library exhibits potent ApoB, TG, and LDL-C lowering activities in hyperlipidemia mice. FASEB J 2024; 38:e23399. [PMID: 38174870 DOI: 10.1096/fj.202301564rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 12/06/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024]
Abstract
Dyslipidemia is characterized by elevated plasma levels of low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and TG-rich lipoprotein (TGRLs) in circulation, and is closely associated with the incidence and development of cardiovascular disease. Angiopoietin-like protein 3 (ANGPTL3) deficiency has been identified as a cause of familial combined hypolipidemia in humans, which allows it to be an important therapeutic target for reducing plasma lipids. Here, we report the discovery and characterization of a novel fully human antibody F1519-D95aA against N-terminal ANGPTL3 (NT-ANGPTL3), which potently inhibits NT-ANGPTL3 with a KD as low as 9.21 nM. In hyperlipidemic mice, F1519-D95aA shows higher apolipoprotein B (ApoB) and TG-lowering, and similar LDL-C reducing activity as compared to positive control Evinacumab (56.50% vs 26.01% decrease in serum ApoB levels, 30.84% vs 25.28% decrease in serum TG levels, 23.32% vs 22.52% decrease in serum LDLC levels, relative to vehicle group). Molecular docking and binding energy calculations reveal that the F1519-D95aA-ANGPTL3 complex (10 hydrogen bonds, -65.51 kcal/mol) is more stable than the Evinacumab-ANGPTL3 complex (4 hydrogen bonds, -63.76 kcal/mol). Importantly, F1519-D95aA binds to ANGPTL3 with different residues in ANGPTL3 from Evinacumab, suggesting that F1519-D95aA may be useful for the treatment of patients resistant to Evinacumab. In conclusion, F1519-D95aA is a novel fully human anti-NT-ANGPTL3 antibody with potent plasma ApoB, TG, and LDL-C lowering activities, which can potentially serve as a therapeutic agent for hyperlipidemia and relevant cardiovascular diseases.
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Affiliation(s)
- Panpan Zhang
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Ke Wang
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Tuo Hu
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Menglong Xu
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Xiangyan You
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Manman Chen
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Xuan Tang
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Huajing Hu
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Yiwei Jiang
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Wenfeng Zhao
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
| | - Shuhua Tan
- Department of Cell and Molecular Biology, School of Life Science and Technology, State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Druggability of Biopharmaceuticals, China Pharmaceutical University, Nanjing, PR China
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48
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Kuderna LFK, Ulirsch JC, Rashid S, Ameen M, Sundaram L, Hickey G, Cox AJ, Gao H, Kumar A, Aguet F, Christmas MJ, Clawson H, Haeussler M, Janiak MC, Kuhlwilm M, Orkin JD, Bataillon T, Manu S, Valenzuela A, Bergman J, Rouselle M, Silva FE, Agueda L, Blanc J, Gut M, de Vries D, Goodhead I, Harris RA, Raveendran M, Jensen A, Chuma IS, Horvath JE, Hvilsom C, Juan D, Frandsen P, Schraiber JG, de Melo FR, Bertuol F, Byrne H, Sampaio I, Farias I, Valsecchi J, Messias M, da Silva MNF, Trivedi M, Rossi R, Hrbek T, Andriaholinirina N, Rabarivola CJ, Zaramody A, Jolly CJ, Phillips-Conroy J, Wilkerson G, Abee C, Simmons JH, Fernandez-Duque E, Kanthaswamy S, Shiferaw F, Wu D, Zhou L, Shao Y, Zhang G, Keyyu JD, Knauf S, Le MD, Lizano E, Merker S, Navarro A, Nadler T, Khor CC, Lee J, Tan P, Lim WK, Kitchener AC, Zinner D, Gut I, Melin AD, Guschanski K, Schierup MH, Beck RMD, Karakikes I, Wang KC, Umapathy G, Roos C, Boubli JP, Siepel A, Kundaje A, Paten B, Lindblad-Toh K, Rogers J, Marques Bonet T, Farh KKH. Identification of constrained sequence elements across 239 primate genomes. Nature 2024; 625:735-742. [PMID: 38030727 PMCID: PMC10808062 DOI: 10.1038/s41586-023-06798-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 10/30/2023] [Indexed: 12/01/2023]
Abstract
Noncoding DNA is central to our understanding of human gene regulation and complex diseases1,2, and measuring the evolutionary sequence constraint can establish the functional relevance of putative regulatory elements in the human genome3-9. Identifying the genomic elements that have become constrained specifically in primates has been hampered by the faster evolution of noncoding DNA compared to protein-coding DNA10, the relatively short timescales separating primate species11, and the previously limited availability of whole-genome sequences12. Here we construct a whole-genome alignment of 239 species, representing nearly half of all extant species in the primate order. Using this resource, we identified human regulatory elements that are under selective constraint across primates and other mammals at a 5% false discovery rate. We detected 111,318 DNase I hypersensitivity sites and 267,410 transcription factor binding sites that are constrained specifically in primates but not across other placental mammals and validate their cis-regulatory effects on gene expression. These regulatory elements are enriched for human genetic variants that affect gene expression and complex traits and diseases. Our results highlight the important role of recent evolution in regulatory sequence elements differentiating primates, including humans, from other placental mammals.
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Affiliation(s)
- Lukas F K Kuderna
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | - Jacob C Ulirsch
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | - Sabrina Rashid
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | - Mohamed Ameen
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | - Laksshman Sundaram
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | - Glenn Hickey
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Anthony J Cox
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | - Hong Gao
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | - Arvind Kumar
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | - Francois Aguet
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | - Matthew J Christmas
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
| | - Hiram Clawson
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | | | - Mareike C Janiak
- School of Science, Engineering and Environment, University of Salford, Salford, UK
| | - Martin Kuhlwilm
- Department of Evolutionary Anthropology, University of Vienna, Vienna, Austria
- Human Evolution and Archaeological Sciences (HEAS), University of Vienna, Vienna, Austria
| | - Joseph D Orkin
- Département d'Anthropologie, Université de Montréal, Montréal, Quebec, Canada
| | - Thomas Bataillon
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Shivakumara Manu
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Alejandro Valenzuela
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Juraj Bergman
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, Aarhus, Denmark
| | | | - Felipe Ennes Silva
- Research Group on Primate Biology and Conservation, Mamirauá Institute for Sustainable Development, Tefé, Brazil
- Evolutionary Biology and Ecology (EBE), Département de Biologie des Organismes, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Lidia Agueda
- Centro Nacional de Analisis Genomico (CNAG), Barcelona, Spain
| | - Julie Blanc
- Centro Nacional de Analisis Genomico (CNAG), Barcelona, Spain
| | - Marta Gut
- Centro Nacional de Analisis Genomico (CNAG), Barcelona, Spain
| | - Dorien de Vries
- School of Science, Engineering and Environment, University of Salford, Salford, UK
| | - Ian Goodhead
- School of Science, Engineering and Environment, University of Salford, Salford, UK
| | - R Alan Harris
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Muthuswamy Raveendran
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Axel Jensen
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden
| | | | - Julie E Horvath
- North Carolina Museum of Natural Sciences, Raleigh, NC, USA
- Department of Biological and Biomedical Sciences, North Carolina Central University, Durham, NC, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Evolutionary Anthropology, Duke University, Durham, NC, USA
- Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - David Juan
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | | | - Joshua G Schraiber
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA
| | | | - Fabrício Bertuol
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Brazil
| | - Hazel Byrne
- Department of Anthropology, University of Utah, Salt Lake City, UT, USA
| | | | - Izeni Farias
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Brazil
| | - João Valsecchi
- Research Group on Terrestrial Vertebrate Ecology, Mamirauá Institute for Sustainable Development, Tefé, Brazil
- Rede de Pesquisa em Diversidade, Conservação e Uso da Fauna da Amazônia - RedeFauna, Manaus, Brazil
- Comunidad de Manejo de Fauna Silvestre en la Amazonía y en Latinoamérica-ComFauna, Iquitos, Peru
| | - Malu Messias
- Universidade Federal de Rondônia, Porto Velho, Brazil
| | | | - Mihir Trivedi
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Rogerio Rossi
- Instituto de Biociências, Universidade Federal do Mato Grosso, Cuiabá, Brazil
| | - Tomas Hrbek
- Universidade Federal do Amazonas, Departamento de Genética, Laboratório de Evolução e Genética Animal (LEGAL), Manaus, Brazil
- Department of Biology, Trinity University, San Antonio, TX, USA
| | - Nicole Andriaholinirina
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, Madagascar
| | - Clément J Rabarivola
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, Madagascar
| | - Alphonse Zaramody
- Life Sciences and Environment, Technology and Environment of Mahajanga, University of Mahajanga, Mahajanga, Madagascar
| | - Clifford J Jolly
- Department of Anthropology, New York University, New York, NY, USA
| | - Jane Phillips-Conroy
- Department of Neuroscience, Washington University School of Medicine in St Louis, St Louis, MO, USA
| | - Gregory Wilkerson
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Bastrop, TX, USA
| | - Christian Abee
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Bastrop, TX, USA
| | - Joe H Simmons
- Keeling Center for Comparative Medicine and Research, MD Anderson Cancer Center, Bastrop, TX, USA
| | | | - Sree Kanthaswamy
- School of Interdisciplinary Forensics, Arizona State University, Phoenix, AZ, USA
- California National Primate Research Center, University of California, Davis, CA, USA
| | - Fekadu Shiferaw
- Guinea Worm Eradication Program, The Carter Center Ethiopia, Addis Ababa, Ethiopia
| | - Dongdong Wu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Long Zhou
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
| | - Yong Shao
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Guojie Zhang
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- Center for Evolutionary and Organismal Biology, Zhejiang University School of Medicine, Hangzhou, China
- Villum Centre for Biodiversity Genomics, Section for Ecology and Evolution, Department of Biology, University of Copenhagen, Copenhagen, Denmark
- Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
- Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Julius D Keyyu
- Tanzania Wildlife Research Institute (TAWIRI), Arusha, Tanzania
| | - Sascha Knauf
- Institute of International Animal Health/One Health, Friedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Greifswald-Insel Riems, Germany
- Professorship for International Animal Health/One Health, Faculty of Veterinary Medicine, Justus Liebig University, Giessen, Germany
| | - Minh D Le
- Department of Environmental Ecology, Faculty of Environmental Sciences, University of Science and Central Institute for Natural Resources and Environmental Studies, Vietnam National University, Hanoi, Vietnam
| | - Esther Lizano
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Stefan Merker
- Department of Zoology, State Museum of Natural History Stuttgart, Stuttgart, Germany
| | - Arcadi Navarro
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain
- Barcelonaβeta Brain Research Center, Pasqual Maragall Foundation, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Tilo Nadler
- Cuc Phuong Commune, Nho Quan District, Vietnam
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
| | | | - Patrick Tan
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM), Singapore, Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
| | - Weng Khong Lim
- SingHealth Duke-NUS Institute of Precision Medicine (PRISM), Singapore, Singapore
- Cancer and Stem Cell Biology Program, Duke-NUS Medical School, Singapore, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore, Singapore
| | - Andrew C Kitchener
- Department of Natural Sciences, National Museums Scotland, Edinburgh, UK
- School of Geosciences, Edinburgh, UK
| | - Dietmar Zinner
- Cognitive Ethology Laboratory, Germany Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
- Department of Primate Cognition, Georg-August-Universität Göttingen, Göttingen, Germany
- Leibniz ScienceCampus Primate Cognition, Göttingen, Germany
| | - Ivo Gut
- Centro Nacional de Analisis Genomico (CNAG), Barcelona, Spain
| | - Amanda D Melin
- Department of Anthropology and Archaeology, University of Calgary, Calgary, Alberta, Canada
- Department of Medical Genetics, University of Calgary, Calgary, Alberta, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada
| | - Katerina Guschanski
- Department of Ecology and Genetics, Animal Ecology, Uppsala University, Uppsala, Sweden
- Institute of Ecology and Evolution, School of Biological Sciences, University of Edinburgh, Edinburgh, UK
| | | | - Robin M D Beck
- School of Science, Engineering and Environment, University of Salford, Salford, UK
| | - Ioannis Karakikes
- Cardiovascular Institute, Stanford University, Stanford, CA, USA
- Department of Cardiothoracic Surgery, Stanford University, Stanford, CA, USA
| | - Kevin C Wang
- Department of Cancer Biology, Stanford University, Stanford, CA, USA
- Department of Dermatology, Stanford University School of Medicine, Stanford, CA, USA
- Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA
| | - Govindhaswamy Umapathy
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
- Laboratory for the Conservation of Endangered Species, CSIR-Centre for Cellular and Molecular Biology, Hyderabad, India
| | - Christian Roos
- Gene Bank of Primates and Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
| | - Jean P Boubli
- School of Science, Engineering and Environment, University of Salford, Salford, UK
| | - Adam Siepel
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA
| | - Anshul Kundaje
- Department of Computer Science, Stanford University, Stanford, CA, USA
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA
| | - Kerstin Lindblad-Toh
- Science for Life Laboratory, Department of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Jeffrey Rogers
- Human Genome Sequencing Center and Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
| | - Tomas Marques Bonet
- IBE, Institute of Evolutionary Biology (UPF-CSIC), Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain.
- Centro Nacional de Analisis Genomico (CNAG), Barcelona, Spain.
- Institut Català de Paleontologia Miquel Crusafont, Universitat Autònoma de Barcelona, Barcelona, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain.
- Universitat Pompeu Fabra, Barcelona, Spain.
| | - Kyle Kai-How Farh
- Illumina Artificial Intelligence Laboratory, Illumina, San Diego, CA, USA.
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Cornelissen A, Gadhoke NV, Ryan K, Hodonsky CJ, Mitchell R, Bihlmeyer NA, Duong T, Chen Z, Dikongue A, Sakamoto A, Sato Y, Kawakami R, Mori M, Kawai K, Fernandez R, Ghosh SKB, Braumann R, Abebe B, Kutys R, Kutyna M, Romero ME, Kolodgie FD, Miller CL, Hong CC, Grove ML, Brody JA, Sotoodehnia N, Arking DE, Schunkert H, Mitchell BD, Guo L, Virmani R, Finn AV. Polygenic Risk Score Associates With Atherosclerotic Plaque Characteristics at Autopsy. Arterioscler Thromb Vasc Biol 2024; 44:300-313. [PMID: 37916415 DOI: 10.1161/atvbaha.123.319818] [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: 07/05/2023] [Accepted: 10/19/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND Polygenic risk scores (PRSs) for coronary artery disease (CAD) potentially improve cardiovascular risk prediction. However, their relationship with histopathologic features of CAD has never been examined systematically. METHODS From 4327 subjects referred to CVPath by the State of Maryland Office Chief Medical Examiner for sudden death between 1994 and 2015, 2455 cases were randomly selected for genotyping. We generated PRS from 291 known CAD risk loci. Detailed histopathologic examination of the coronary arteries was performed in all subjects. The primary study outcome measurements were histopathologic plaque features determining severity of atherosclerosis, including %stenosis, calcification, thin-cap fibroatheromas, and thrombotic CAD. RESULTS After exclusion of cases with insufficient DNA sample quality or with missing data, 954 cases (mean age, 48.8±14.7 years; 75.7% men) remained in the final study cohort. Subjects in the highest PRS quintile exhibited more severe atherosclerosis compared with subjects in the lowest quintile, with greater %stenosis (80.3%±27.0% versus 50.4%±38.7%; adjusted P<0.001) and a higher frequency of calcification (69.6% versus 35.8%; adjusted P=0.004) and thin-cap fibroatheroma (26.7% versus 9.5%; adjusted P=0.007). Even after adjustment for traditional CAD risk factors, subjects within the highest PRS quintile had higher odds of severe atherosclerosis (ie, ≥75% stenosis; adjusted odds ratio, 3.77 [95% CI, 2.10-6.78]; P<0.001) and plaque rupture (adjusted odds ratio, 4.05 [95% CI, 2.26-7.24]; P<0.001). Moreover, subjects within the highest quintile had higher odds of CAD-associated cause of death, especially among those aged ≤50 years (adjusted odds ratio, 4.08 [95% CI, 2.01-8.30]; P<0.001). No statistically significant associations were observed with plaque erosion after adjusting for covariates. CONCLUSIONS This is the first autopsy study investigating associations between PRS and atherosclerosis severity at the histopathologic level in subjects with sudden death. Our pathological analysis suggests PRS correlates with plaque burden and features of advanced atherosclerosis and may be useful as a method for CAD risk stratification, especially in younger subjects.
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Affiliation(s)
- Anne Cornelissen
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
- Department of Cardiology, University Hospital RWTH Aachen, Germany (A.C.)
| | - Neel V Gadhoke
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Kathleen Ryan
- Department of Medicine, University of Maryland School of Medicine, Baltimore (K.R., C.C.H., B.D.M., A.V.F.)
| | - Chani J Hodonsky
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville (C.J.H., C.L.M.)
| | - Rebecca Mitchell
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Nathan A Bihlmeyer
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - ThuyVy Duong
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Zhifen Chen
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (Z.C., H.S.)
- Deutsches Zentrum für Herz-und Kreislauferkrankungen (DZHK), Partner Site Munich Heart Alliance, Germany (Z.C., H.S.)
| | - Armelle Dikongue
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Atsushi Sakamoto
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Yu Sato
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Rika Kawakami
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Masayuki Mori
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Kenji Kawai
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Raquel Fernandez
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Saikat Kumar B Ghosh
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Ryan Braumann
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Biniyam Abebe
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Robert Kutys
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Matthew Kutyna
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Maria E Romero
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Frank D Kolodgie
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Clint L Miller
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville (C.J.H., C.L.M.)
| | - Charles C Hong
- Department of Medicine, University of Maryland School of Medicine, Baltimore (K.R., C.C.H., B.D.M., A.V.F.)
| | - Megan L Grove
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle (J.A.B.)
| | - Nona Sotoodehnia
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Dan E Arking
- Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (R.M., N.A.B., T.D., M.L.G., N.S., D.E.A.)
| | - Heribert Schunkert
- Department of Cardiology, Deutsches Herzzentrum München, Technische Universität München, Munich, Germany (Z.C., H.S.)
- Deutsches Zentrum für Herz-und Kreislauferkrankungen (DZHK), Partner Site Munich Heart Alliance, Germany (Z.C., H.S.)
| | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore (K.R., C.C.H., B.D.M., A.V.F.)
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, MD (B.D.M.)
| | - Liang Guo
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Renu Virmani
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
| | - Aloke V Finn
- CVPath Institute, Gaithersburg, MD (A.C., N.V.G., A.D., A.S., Y.S., R. Kawakami, M.M., K.K., R.F., S.K.B.G., R.B., B.A., R. Kutys, M.K., M.E.R., F.D.K., L.G., R.V., A.V.F.)
- Department of Medicine, University of Maryland School of Medicine, Baltimore (K.R., C.C.H., B.D.M., A.V.F.)
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50
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Paliwal A, Paliwal V, Jain S, Paliwal S, Sharma S. Current Insight on the Role of Glucokinase and Glucokinase Regulatory Protein in Diabetes. Mini Rev Med Chem 2024; 24:674-688. [PMID: 37612862 DOI: 10.2174/1389557523666230823151927] [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: 01/29/2023] [Revised: 06/19/2023] [Accepted: 07/13/2023] [Indexed: 08/25/2023]
Abstract
The glucokinase regulator (GCKR) gene encodes an inhibitor of the glucokinase enzyme (GCK), found only in hepatocytes and responsible for glucose metabolism. A common GCKR coding variation has been linked to various metabolic traits in genome-wide association studies. Rare GCKR polymorphisms influence GKRP activity, expression, and localization. Despite not being the cause, these variations are linked to hypertriglyceridemia. Because of their crystal structures, we now better understand the molecular interactions between GKRP and the GCK. Finally, small molecules that specifically bind to GKRP and decrease blood sugar levels in diabetic models have been identified. GCKR allelic spectrum changes affect lipid and glucose homeostasis. GKRP dysfunction has been linked to a variety of molecular causes, according to functional analysis. Numerous studies have shown that GKRP dysfunction is not the only cause of hypertriglyceridemia, implying that type 2 diabetes could be treated by activating liver-specific GCK via small molecule GKRP inhibition. The review emphasizes current discoveries concerning the characteristic roles of glucokinase and GKRP in hepatic glucose metabolism and diabetes. This information has influenced the growth of directed molecular therapies for diabetes, which has improved our understanding of lipid and glucose physiology.
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Affiliation(s)
- Ajita Paliwal
- Department of Pharmacy, Banasthali Vidyapith, Banasthali, Rajasthan, India
| | - Vartika Paliwal
- Department of Pharmacy, Banasthali Vidyapith, Banasthali, Rajasthan, India
| | - Smita Jain
- Department of Pharmacy, Banasthali Vidyapith, Banasthali, Rajasthan, India
| | - Sarvesh Paliwal
- Department of Pharmacy, Banasthali Vidyapith, Banasthali, Rajasthan, India
| | - Swapnil Sharma
- Department of Pharmacy, Banasthali Vidyapith, Banasthali, Rajasthan, India
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