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Čereškevičius D, Čiapienė I, Aldujeli A, Zabiela V, Lesauskaitė V, Zubielienė K, Raškevičius V, Žaliaduonytė D, Unikas R, Pranevičius R, Simanauskas I, Bakšytė G, Tamošiūnas A, Lukšienė D, Šakalytė G, Tatarūnas V. The Impact of SNP Score on Low-Density Lipoprotein Cholesterol Concentration and Coronary Artery Disease. Int J Mol Sci 2025; 26:2337. [PMID: 40076958 PMCID: PMC11899937 DOI: 10.3390/ijms26052337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2025] [Revised: 02/26/2025] [Accepted: 03/04/2025] [Indexed: 03/14/2025] Open
Abstract
Hypercholesterolemia, characterized by elevated levels of low-density lipoprotein cholesterol (LDL-C), along with inflammation, is a well-known risk factor for developing atherosclerosis and coronary artery disease (CAD). Many patients with hypercholesterolemia may carry inherited genetic variants that are not part of the commonly recognized mutations in the LDLR, APOB, LDLRAP1, and PCSK9 genes. These genetic variants may have cumulative effects that contribute to increased LDL-C levels and CAD development. The polygenic risk score (PRS) may provide an essential tool for evaluating an individual's genetic predisposition to these conditions. This pilot study aimed to investigate the impact of the PRS calculated from specific single nucleotide polymorphisms (SNPs) associated with LDL cholesterol (LDL-C)-namely, CELSR2 rs629301, APOB rs1367117, ABCG8 rs6544713, LDLR rs6511720, APOE rs429358, and rs7412-on LDL-C levels in both healthy individuals with elevated LDL-C levels (>2.6 mmol/L) and those diagnosed with ST-segment elevation myocardial infarction (STEMI). A total of 61 healthy individuals with high LDL-C levels (>2.6 mmol/L) and 93 STEMI patients were selected for the study. The High-Resolution Melting Polymerase Chain Reaction (HRM PCR) method was adopted and sequencing techniques were employed to identify the specific single nucleotide polymorphisms (SNPs) of interest. The patient group exhibited a PRS of 0.824 (with a range of -0.62 to 1.174) compared to 0.674 (range: -0.176 to 0.974) in healthy individuals, indicating a higher genetic predisposition to elevated LDL-C levels (p = 0.001) in patients. Interestingly, patients had lower LDL-C concentrations than healthy individuals. Additionally, a more significant number of patients were past smokers and statin users. The PRS calculations revealed that patients with a higher PRS had increased odds of experiencing an MI, with an odds ratio of 12.044 (95% confidence interval: 1.551-93.517, p = 0.017). Similarly, smokers showed even higher odds, with an odds ratio of 24.962 (95% CI: 7.171-86.890, p < 0.001). Among healthy individuals, those with a higher PRS had increased odds of having an LDL-C concentration greater than 4.9 mmol/L (odds ratio: 20.391, 95% CI: 1.116-358.486, p = 0.039). However, no significant association was found between the PRS and LDL-C levels in the patient group during hospitalization (p = 0.782). This pilot study shows that PRS can be employed to evaluate the risk of MI and to estimate concentrations greater than 4.9 mmol/L LDL-C in healthy individuals.
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Affiliation(s)
- Darius Čereškevičius
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Ieva Čiapienė
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Ali Aldujeli
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Vytautas Zabiela
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Vaiva Lesauskaitė
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Kristina Zubielienė
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Vytautas Raškevičius
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Diana Žaliaduonytė
- Department of Cardiology, Kaunas Hospital of the Lithuanian University of Health Sciences, Hipodromo 13, 45130 Kaunas, Lithuania;
| | - Ramūnas Unikas
- Department of Cardiology, Lithuanian University of Health Sciences, Eivenių 2, 50009 Kaunas, Lithuania; (R.U.); (G.B.)
| | - Robertas Pranevičius
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Ignas Simanauskas
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Giedrė Bakšytė
- Department of Cardiology, Lithuanian University of Health Sciences, Eivenių 2, 50009 Kaunas, Lithuania; (R.U.); (G.B.)
| | - Abdonas Tamošiūnas
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Dalia Lukšienė
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Gintarė Šakalytė
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
| | - Vacis Tatarūnas
- Institute of Cardiology, Lithuanian University of Health Sciences, Sukileliu 15, 50103 Kaunas, Lithuania; (D.Č.); (I.Č.); (A.A.); (V.Z.); (V.L.); (K.Z.); (V.R.); (R.P.); (I.S.); (A.T.); (D.L.); (G.Š.)
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Peng Y, Shen H, Li C, Zhu X, Gao Y, Yi H, Xu H, Guan J, Li X, Yin S. Genetic variations of low-density lipoprotein cholesterol on metabolic disorders in obstructive sleep apnea. Nutr Metab (Lond) 2024; 21:31. [PMID: 38858772 PMCID: PMC11163771 DOI: 10.1186/s12986-024-00805-z] [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: 03/16/2024] [Accepted: 05/09/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND The study aimed to explore the relationship between low-density lipoprotein cholesterol (LDL-C) genetic variants and obstructive sleep apnea (OSA) and its complications, including cardiovascular diseases (CVD), insulin resistance (IR), and metabolic syndrome (MS). METHOD 4329 individuals with suspected OSA who underwent a comprehensive assessment of anthropometric, biochemical, and polysomnography (PSG) data, along with 30 LDL-C single nucleotide polymorphisms (SNPs) were enrolled. The 10-year Framingham CVD risk score (FRS), IR and MS were evaluated for each subject. Linear regression and logistic regression were utilized to examine the correlations among these variables. RESULTS After the Benjamini-Hochberg correction, linear regression results indicated positive correlations between variants rs3741297 and rs629301 with FRS (β = 0.031, PBH=0.002; β = 0.026, PBH=0.015). Logistic regression revealed that rs3741297 increased MS risk among total subjects [OR = 1.67 (95% CI:1.369-2.038), PBH=1.32 × 10- 5] and increased IR risk in females [OR = 3.475 (95% CI:1.653-7.307), PBH=0.03]. In males, rs2642438 decreased MS risk [OR = 0.81 (95% CI:0.703-0.933), PBH=0.045]. CONCLUSIONS The rs3741297 variant correlated with susceptibility to CVD, IR, and MS in the OSA population. OSA, CVD, IR and MS share a potentially common genetic background, which may promote precision medicine. CINICAL TRIAL REGISTRATION The study protocol was registered with the Chinese Clinical Trial Registry (ChiCTR1900025714).
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Affiliation(s)
- Yu Peng
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Hangdong Shen
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Chenyang Li
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Xiaoyue Zhu
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Yiqing Gao
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Hongliang Yi
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
| | - Huajun Xu
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China.
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China.
| | - Jian Guan
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China.
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China.
| | - Xinyi Li
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China.
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China.
| | - Shankai Yin
- Department of Otorhinolaryngology Head and Neck Surgery, Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine&, 600 Yishan Road, Shanghai, 200233, P. R. China
- Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China
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Ojeda-Granados C, Campisi E, Barchitta M, Agodi A. Genetic, lifestyle and metabolic factors contributing to cardiovascular disease in the Italian population: a literature review. Front Nutr 2024; 11:1379785. [PMID: 38638292 PMCID: PMC11024791 DOI: 10.3389/fnut.2024.1379785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 03/22/2024] [Indexed: 04/20/2024] Open
Abstract
Cardiovascular diseases (CVD) represent a major health problem worldwide. In Italy, despite the decline in CVD mortality and disability-adjusted life years recently observed, CVD remains the leading cause of death. The development of CVD has a complex and multifactorial etiology that involves environmental, lifestyle/behavioral (e.g., unhealthy diet, physical inactivity, smoking, and alcohol abuse), metabolic, and genetic factors. Although a large number of CVD susceptibility genetic variants have been identified, some seem to confer risk according to the genetic background or ethnicity of the population. Some CVD-associated polymorphisms with appreciable frequency in the Italian population may be important contributors to the development and progression of the most prevalent CVD in the population. This literature review aims to provide an overview of the epidemiology of CVD in Italy, as well as to highlight the main genetic, lifestyle/behavioral, and metabolic factors contributing to CVD risk in this population.
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Affiliation(s)
- Claudia Ojeda-Granados
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, Catania, Italy
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Nuinoon M, Saiphak W, Nawaka N, Rattanawan C, Pussadhamma B, Jeenduang N. Association of CELSR2, APOB100, ABCG5/8, LDLR, and APOE polymorphisms and their genetic risks with lipids among the Thai subjects. Saudi J Biol Sci 2023; 30:103554. [PMID: 36619676 PMCID: PMC9812717 DOI: 10.1016/j.sjbs.2022.103554] [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: 05/19/2022] [Revised: 11/26/2022] [Accepted: 12/20/2022] [Indexed: 12/27/2022] Open
Abstract
Background Hypercholesterolemia is a common cardiovascular risk factor. The aim of this study was to investigate the association of CELSR2 (rs629301), APOB100 (rs1367117), ABCG5/8 (rs6544713), LDLR (rs6511720), and APOE (rs429358, rs7412) polymorphisms, and their genetic risk scores with lipids among Thai subjects. Methods A total of 459 study subjects (184 males, and 275 females) were enrolled. Blood pressure, serum lipids, and fasting blood sugar were measured. CELSR2 (rs629301), APOB100 (rs1367117), ABCG5/8 (rs6544713), and LDLR (rs6511720) polymorphisms were analyzed using PCR-HRM. APOE (rs429358, rs7412) polymorphism was analyzed using PCR-RFLP. Results Total cholesterol (TC) levels were significantly higher in APOB100 AA genotype compared with GG, or AA + AG genotypes in total subjects. In addition, significantly higher concentrations of TC and low density lipoprotein cholesterol (LDL-C) were observed in APOE4 carriers compared to APOE2 carriers in total subjects, males, and females. The significantly higher concentrations of TC were observed in APOE4 carriers compared to APOE3 carriers in females. Moreover, the concentrations of TC, and LDL-C were significantly increased with genetic risk scores of APOB100, and APOE polymorphisms in total subjects, and females. There was no association between CELSR2 (rs629301), ABCG5/8 (rs6544713), and LDLR (rs6511720) polymorphisms and serum lipids. Conclusion APOB100 (rs1367117), and APOE (rs429358, rs7412) but not CELSR2 (rs629301), ABCG5/8 (rs6544713), and LDLR (rs6511720) polymorphisms were associated with serum lipids. The cumulative risk alleles of APOB100 (rs1367117), and APOE (rs429358, rs7412) polymorphisms could enhance the elevated concentrations of TC, and LDL-C, and they may be used to predict severity of hypercholesterolemia among Thai subjects.
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Affiliation(s)
- 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
| | - Wutthichai Saiphak
- School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand
| | - Nantiya Nawaka
- School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand
| | - Chutima Rattanawan
- School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand,Hematology and Transfusion Science Research Center, Walailak University, Nakhon Si Thammarat, Thailand
| | - Burabha Pussadhamma
- Department of Internal Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand,Queen Sirikit Heart Center of the Northeast, Khon Kaen University, Khon Kaen, Thailand
| | - 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,Corresponding author at: School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, Thailand.
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Mitok KA, Keller MP, Attie AD. Sorting through the extensive and confusing roles of sortilin in metabolic disease. J Lipid Res 2022; 63:100243. [PMID: 35724703 PMCID: PMC9356209 DOI: 10.1016/j.jlr.2022.100243] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 06/10/2022] [Accepted: 06/13/2022] [Indexed: 01/06/2023] Open
Abstract
Sortilin is a post-Golgi trafficking receptor homologous to the yeast vacuolar protein sorting receptor 10 (VPS10). The VPS10 motif on sortilin is a 10-bladed β-propeller structure capable of binding more than 50 proteins, covering a wide range of biological functions including lipid and lipoprotein metabolism, neuronal growth and death, inflammation, and lysosomal degradation. Sortilin has a complex cellular trafficking itinerary, where it functions as a receptor in the trans-Golgi network, endosomes, secretory vesicles, multivesicular bodies, and at the cell surface. In addition, sortilin is associated with hypercholesterolemia, Alzheimer's disease, prion diseases, Parkinson's disease, and inflammation syndromes. The 1p13.3 locus containing SORT1, the gene encoding sortilin, carries the strongest association with LDL-C of all loci in human genome-wide association studies. However, the mechanism by which sortilin influences LDL-C is unclear. Here, we review the role sortilin plays in cardiovascular and metabolic diseases and describe in detail the large and often contradictory literature on the role of sortilin in the regulation of LDL-C levels.
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Affiliation(s)
- Kelly A Mitok
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Mark P Keller
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Alan D Attie
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.
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Deficiency of proline/serine-rich coiled-coil protein 1 (PSRC1) accelerates trimethylamine N-oxide-induced atherosclerosis in ApoE -/- mice. J Mol Cell Cardiol 2022; 170:60-74. [PMID: 35690006 DOI: 10.1016/j.yjmcc.2022.05.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 05/03/2022] [Accepted: 05/30/2022] [Indexed: 02/07/2023]
Abstract
AIMS The main therapeutic strategies for coronary artery disease (CAD) are mainly based on the correction of abnormal cholesterol levels; however, residual risks remain. The newly proven gut microbial metabolite trimethylamine N-oxide (TMAO) linked with CAD has broadened our horizons. In this study, we determined the role of proline/serine-rich coiled-coil protein 1 (PSRC1) in TMAO-driven atherosclerosis. METHODS AND RESULTS We first analyzed the levels of TMAO and PSRC1 in patients with or without atherosclerosis with a target LDL-C < 1.8 mmol/L. Plasma TMAO levels were increased and negatively associated with decreased PSRC1 in peripheral blood mononuclear cells. Animals and in vitro studies showed that TMAO inhibited macrophage PSRC1 expression due to DNA hypermethylation of CpG islands. ApoE-/- mice fed a choline-supplemented diet exhibited reduced PSRC1 expression accompanied by increased atherosclerotic lesions and plasma TMAO levels. We further deleted PSRC1 in apoE-/- mice and PSRC1 deficiency significantly accelerated choline-induced atherogenesis, characterized by increased macrophage infiltration, foam cell formation and M1 macrophage polarization. Mechanistically, we overexpressed and knocked out PSRC1 in cultured macrophages to explore the mechanisms underlying TMAO-induced cholesterol accumulation and inflammation. PSRC1 deletion impaired reverse cholesterol transport and enhanced cholesterol uptake and inflammation, while PSRC1 overexpression rescued the proatherogenic phenotype observed in TMAO-stimulated macrophages, which was partially attributed to sulfotransferase 2B1b (SULT2B1b) inhibition. CONCLUSIONS Herein, clinical data provide evidence that TMAO may participate in the development of CAD beyond well-controlled LDL-C levels. Our work also suggests that PSRC1 is a negative regulator mediating the unfavorable effects of TMAO-containing diets. Therefore, PSRC1 overexpression and reduced choline consumption may further alleviate atherosclerosis.
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Luo T, Guo Z, Liu D, Guo Z, Wu Q, Li Q, Lin R, Chen P, Ou C, Chen M. Deficiency of PSRC1 accelerates atherosclerosis by increasing TMAO production via manipulating gut microbiota and flavin monooxygenase 3. Gut Microbes 2022; 14:2077602. [PMID: 35613310 PMCID: PMC9135421 DOI: 10.1080/19490976.2022.2077602] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Maladaptive inflammatory and immune responses are responsible for intestinal barrier integrity and function dysregulation. Proline/serine-rich coiled-coil protein 1 (PSRC1) critically contributes to the immune system, but direct data on the gut microbiota and the microbial metabolite trimethylamine N-oxide (TMAO) are lacking. Here, we investigated the impact of PSRC1 deletion on TMAO generation and atherosclerosis. We first found that PSRC1 deletion in apoE-/- mice accelerated atherosclerotic plaque formation, and then the gut microbiota and metabolites were detected using metagenomics and untargeted metabolomics. Our results showed that PSRC1 deficiency enriched trimethylamine (TMA)-producing bacteria and functional potential for TMA synthesis and accordingly enhanced plasma betaine and TMAO production. Furthermore, PSRC1 deficiency resulted in a proinflammatory colonic phenotype that was significantly associated with the dysregulated bacteria. Unexpectedly, hepatic RNA-seq indicated upregulated flavin monooxygenase 3 (FMO3) expression following PSRC1 knockout. Mechanistically, PSRC1 overexpression inhibited FMO3 expression in vitro, while an ERα inhibitor rescued the downregulation. Consistently, PSRC1-knockout mice exhibited higher plasma TMAO levels with a choline-supplemented diet, which was gut microbiota dependent, as evidenced by antibiotic treatment. To investigate the role of dysbiosis induced by PSRC1 deletion in atherogenesis, apoE-/- mice were transplanted with the fecal microbiota from either apoE-/- or PSRC1-/-apoE-/- donor mice. Mice that received PSRC1-knockout mouse feces showed an elevation in TMAO levels, as well as plaque lipid deposition and macrophage accumulation, which were accompanied by increased plasma lipid levels and impaired hepatic cholesterol transport. Overall, we identified PSRC1 as an atherosclerosis-protective factor, at least in part, attributable to its regulation of TMAO generation via a multistep pathway. Thus, PSRC1 holds great potential for manipulating the gut microbiome and alleviating atherosclerosis.
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Affiliation(s)
- Tiantian Luo
- Department of Cardiology, Laboratory of Heart Center, Zhujiang Hospital, Southern Medical University, Guangzhou, China,Guangdong Provincial Key Laboratory of Shock and Microcirculation, Guangzhou, China,Department of Cardiology, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Lab of Shock and Microcirculation, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhigang Guo
- Department of Cardiology, Huiqiao Medical Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Dan Liu
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Lab of Shock and Microcirculation, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Zhongzhou Guo
- Department of Pharmacy, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Qiao Wu
- Department of Cardiology, Huiqiao Medical Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qinxian Li
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Lab of Shock and Microcirculation, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Rongzhan Lin
- Department of Cardiology, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Lab of Shock and Microcirculation, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Peier Chen
- Department of Cardiology, Laboratory of Heart Center, Zhujiang Hospital, Southern Medical University, Guangzhou, China,Guangdong Provincial Key Laboratory of Shock and Microcirculation, Guangzhou, China
| | - Caiwen Ou
- Guangdong Provincial Key Laboratory of Shock and Microcirculation, Dongguan Hospital of Southern Medical University, Southern Medical University, Guangzhou, China,CONTACT Caiwen Ou Dongguan Hospital of Southern Medical University, Southern Medical University, Guangdong Provincial Key Laboratory of Shock and Microcirculation, Guangzhou, China
| | - Minsheng Chen
- Department of Cardiology, Laboratory of Heart Center, Zhujiang Hospital, Southern Medical University, Guangzhou, China,Guangdong Provincial Key Laboratory of Shock and Microcirculation, Guangzhou, China,Minsheng Chen Laboratory of Heart Center and Department of Cardiology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, Guangdong, 510260, P.R. China
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Powerful and robust inference of complex phenotypes' causal genes with dependent expression quantitative loci by a median-based Mendelian randomization. Am J Hum Genet 2022; 109:838-856. [PMID: 35460606 DOI: 10.1016/j.ajhg.2022.04.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 04/04/2022] [Indexed: 11/22/2022] Open
Abstract
Isolating the causal genes from numerous genetic association signals in genome-wide association studies (GWASs) of complex phenotypes remains an open and challenging question. In the present study, we proposed a statistical approach, the effective-median-based Mendelian randomization (MR) framework, for inferring the causal genes of complex phenotypes with the GWAS summary statistics (named EMIC). The effective-median method solved the high false-positive issue in the existing MR methods due to either correlation among instrumental variables or noises in approximated linkage disequilibrium (LD). EMIC can further perform a pleiotropy fine-mapping analysis to remove possible false-positive estimates. With the usage of multiple cis-expression quantitative trait loci (eQTLs), EMIC was also more powerful than the alternative methods for the causal gene inference in the simulated datasets. Furthermore, EMIC rediscovered many known causal genes of complex phenotypes (schizophrenia, bipolar disorder, and total cholesterol) and reported many new and promising candidate causal genes. In sum, this study provided an efficient solution to discriminate the candidate causal genes from vast amounts of GWAS signals with eQTLs. EMIC has been implemented in our integrative software platform KGGSEE.
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