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Published in: Cardiovascular Diabetology 1/2024

Open Access 01-12-2024 | Abdominal Aortic Aneurysm | Research

Revisiting an old relationship: the causal associations of the ApoB/ApoA1 ratio with cardiometabolic diseases and relative risk factors—a mendelian randomization analysis

Authors: Chao Fu, Dongbo Liu, Qi Liu, Xuedong Wang, Xiaoxue Ma, Hong Pan, Shi Feng, Zhao Sun, Weishen Qiao, Mengyue Yang, Shuang Gao, Hongyu Ding, Xingtao Huang, Jingbo Hou

Published in: Cardiovascular Diabetology | Issue 1/2024

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Abstract

Background

It has been confirmed that the ApoB/ApoA1 ratio is closely associated with the incidence of cardiometabolic diseases (CMD). However, due to uncontrolled confounding factors in observational studies, the causal relationship of this association remains unclear.

Methods

In this study, we extracted the ApoB/ApoA1 ratio and data on CMD and its associated risk factors from the largest European Genome-Wide Association Study. The purpose was to conduct Mendelian Randomization (MR) analysis. The causal relationship between the ApoB/ApoA1 ratio and CMD was evaluated using both univariable and multivariable MR analyses. Furthermore, bidirectional MR analysis was performed to estimate the causal relationship between the ApoB/ApoA1 ratio and risk factors for CMD. The final verification confirmed whether the ApoB/ApoA1 ratio exhibits a mediating effect in CMD and related risk factors.

Results

In terms of CMD, a noteworthy correlation was observed between the increase in the ApoB/ApoA1 ratio and various CMD, including ischemic heart disease, major adverse cardiovascular events, aortic aneurysm, cerebral ischemic disease and so on (all PFDR<0.05). Meanwhile, the ApoB/ApoA1 ratio was significantly associated with CMD risk factors, such as hemoglobin A1c, fasting insulin levels, waist-to-hip ratio, sedentary behavior, and various others, demonstrating a notable causal relationship (all PFDR<0.05). Additionally, the ApoB/ApoA1 ratio played a mediating role in CMD and relative risk factors.

Conclusions

This MR study provides evidence supporting the significant causal relationship between the ApoB/ApoA1 ratio and CMD and its risk factors. Moreover, it demonstrates the mediating effect of the ApoB/ApoA1 ratio in CMD and its risk factors. These findings suggest that the ApoB/ApoA1 ratio may serve as a potential indicator for identifying the risk of developing CMD in participants.
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Literature
1.
go back to reference Roth G, Mensah G, Johnson C, Addolorato G, Ammirati E, Baddour L, Barengo N, Beaton A, Benjamin E, Benziger C, et al. Global Burden of Cardiovascular diseases and Risk factors, 1990–2019: Update from the GBD 2019 study. J Am Coll Cardiol. 2020;76(25):2982–3021.PubMedPubMedCentralCrossRef Roth G, Mensah G, Johnson C, Addolorato G, Ammirati E, Baddour L, Barengo N, Beaton A, Benjamin E, Benziger C, et al. Global Burden of Cardiovascular diseases and Risk factors, 1990–2019: Update from the GBD 2019 study. J Am Coll Cardiol. 2020;76(25):2982–3021.PubMedPubMedCentralCrossRef
2.
go back to reference Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet (London, England). 2020, 396(10258):1204–1222. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet (London, England). 2020, 396(10258):1204–1222.
3.
go back to reference Brunzell J, Davidson M, Furberg C, Goldberg R, Howard B, Stein J, Witztum J. Lipoprotein management in patients with cardiometabolic risk: consensus conference report from the American Diabetes Association and the American College of Cardiology Foundation. J Am Coll Cardiol. 2008;51(15):1512–24.PubMedCrossRef Brunzell J, Davidson M, Furberg C, Goldberg R, Howard B, Stein J, Witztum J. Lipoprotein management in patients with cardiometabolic risk: consensus conference report from the American Diabetes Association and the American College of Cardiology Foundation. J Am Coll Cardiol. 2008;51(15):1512–24.PubMedCrossRef
4.
go back to reference Grundy S, Stone N, Bailey A, Beam C, Birtcher K, Blumenthal R, Braun L, de Ferranti S, Faiella-Tommasino J, Forman D, et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the management of blood cholesterol: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice guidelines. Circulation. 2019;139(25):e1082–143.PubMed Grundy S, Stone N, Bailey A, Beam C, Birtcher K, Blumenthal R, Braun L, de Ferranti S, Faiella-Tommasino J, Forman D, et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the management of blood cholesterol: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice guidelines. Circulation. 2019;139(25):e1082–143.PubMed
5.
go back to reference Ference B, Ginsberg H, Graham I, Ray K, Packard C, Bruckert E, Hegele R, Krauss R, Raal F, Schunkert H, et al. Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel. Eur Heart J. 2017;38(32):2459–72.PubMedPubMedCentralCrossRef Ference B, Ginsberg H, Graham I, Ray K, Packard C, Bruckert E, Hegele R, Krauss R, Raal F, Schunkert H, et al. Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel. Eur Heart J. 2017;38(32):2459–72.PubMedPubMedCentralCrossRef
6.
go back to reference Lawler P, Akinkuolie A, Chu A, Shah S, Kraus W, Craig D, Padmanabhan L, Glynn R, Ridker P, Chasman D, et al. Atherogenic lipoprotein determinants of Cardiovascular Disease and residual risk among individuals with Low Low-Density Lipoprotein Cholesterol. J Am Heart Association. 2017;6(7). Lawler P, Akinkuolie A, Chu A, Shah S, Kraus W, Craig D, Padmanabhan L, Glynn R, Ridker P, Chasman D, et al. Atherogenic lipoprotein determinants of Cardiovascular Disease and residual risk among individuals with Low Low-Density Lipoprotein Cholesterol. J Am Heart Association. 2017;6(7).
7.
go back to reference Hagström E, Steg P, Szarek M, Bhatt D, Bittner V, Danchin N, Diaz R, Goodman S, Harrington R, Jukema J, et al. Apolipoprotein B, residual Cardiovascular Risk after Acute Coronary Syndrome, and effects of Alirocumab. Circulation. 2022;146(9):657–72.PubMedPubMedCentralCrossRef Hagström E, Steg P, Szarek M, Bhatt D, Bittner V, Danchin N, Diaz R, Goodman S, Harrington R, Jukema J, et al. Apolipoprotein B, residual Cardiovascular Risk after Acute Coronary Syndrome, and effects of Alirocumab. Circulation. 2022;146(9):657–72.PubMedPubMedCentralCrossRef
8.
go back to reference Lawler P, Akinkuolie A, Harada P, Glynn R, Chasman D, Ridker P, Mora S. Residual risk of atherosclerotic Cardiovascular events in relation to reductions in very-low-density lipoproteins. J Am Heart Association. 2017;6(12). Lawler P, Akinkuolie A, Harada P, Glynn R, Chasman D, Ridker P, Mora S. Residual risk of atherosclerotic Cardiovascular events in relation to reductions in very-low-density lipoproteins. J Am Heart Association. 2017;6(12).
9.
go back to reference Roe M, Li Q, Bhatt D, Bittner V, Diaz R, Goodman S, Harrington R, Jukema J, Lopez-Jaramillo P, Lopes R, et al. Risk categorization using New American College of Cardiology/American Heart Association Guidelines for Cholesterol Management and its relation to Alirocumab Treatment following Acute Coronary syndromes. Circulation. 2019;140(19):1578–89.PubMedPubMedCentralCrossRef Roe M, Li Q, Bhatt D, Bittner V, Diaz R, Goodman S, Harrington R, Jukema J, Lopez-Jaramillo P, Lopes R, et al. Risk categorization using New American College of Cardiology/American Heart Association Guidelines for Cholesterol Management and its relation to Alirocumab Treatment following Acute Coronary syndromes. Circulation. 2019;140(19):1578–89.PubMedPubMedCentralCrossRef
10.
go back to reference Duell P. Triglyceride-Rich lipoproteins and Atherosclerotic Cardiovascular Disease Risk. J Am Coll Cardiol. 2023;81(2):153–5.PubMedCrossRef Duell P. Triglyceride-Rich lipoproteins and Atherosclerotic Cardiovascular Disease Risk. J Am Coll Cardiol. 2023;81(2):153–5.PubMedCrossRef
12.
go back to reference Martin S, Blaha M, Elshazly M, Brinton E, Toth P, McEvoy J, Joshi P, Kulkarni K, Mize P, Kwiterovich P, et al. Friedewald-estimated versus directly measured low-density lipoprotein cholesterol and treatment implications. J Am Coll Cardiol. 2013;62(8):732–9.PubMedCrossRef Martin S, Blaha M, Elshazly M, Brinton E, Toth P, McEvoy J, Joshi P, Kulkarni K, Mize P, Kwiterovich P, et al. Friedewald-estimated versus directly measured low-density lipoprotein cholesterol and treatment implications. J Am Coll Cardiol. 2013;62(8):732–9.PubMedCrossRef
13.
go back to reference Lu W, Resnick H, Jablonski K, Jones K, Jain A, Howard W, Robbins D, Howard B. Non-HDL cholesterol as a predictor of cardiovascular disease in type 2 diabetes: the strong heart study. Diabetes Care. 2003;26(1):16–23.PubMedCrossRef Lu W, Resnick H, Jablonski K, Jones K, Jain A, Howard W, Robbins D, Howard B. Non-HDL cholesterol as a predictor of cardiovascular disease in type 2 diabetes: the strong heart study. Diabetes Care. 2003;26(1):16–23.PubMedCrossRef
14.
go back to reference Liu J, Sempos C, Donahue R, Dorn J, Trevisan M, Grundy S. Joint distribution of non-HDL and LDL cholesterol and coronary heart disease risk prediction among individuals with and without diabetes. Diabetes Care. 2005;28(8):1916–21.PubMedCrossRef Liu J, Sempos C, Donahue R, Dorn J, Trevisan M, Grundy S. Joint distribution of non-HDL and LDL cholesterol and coronary heart disease risk prediction among individuals with and without diabetes. Diabetes Care. 2005;28(8):1916–21.PubMedCrossRef
15.
go back to reference Gotto A, Whitney E, Stein E, Shapiro D, Clearfield M, Weis S, Jou J, Langendörfer A, Beere P, Watson D, et al. Relation between baseline and on-treatment lipid parameters and first acute major coronary events in the Air Force/Texas Coronary Atherosclerosis Prevention Study (AFCAPS/TexCAPS). Circulation. 2000;101(5):477–84.PubMedCrossRef Gotto A, Whitney E, Stein E, Shapiro D, Clearfield M, Weis S, Jou J, Langendörfer A, Beere P, Watson D, et al. Relation between baseline and on-treatment lipid parameters and first acute major coronary events in the Air Force/Texas Coronary Atherosclerosis Prevention Study (AFCAPS/TexCAPS). Circulation. 2000;101(5):477–84.PubMedCrossRef
16.
go back to reference Sniderman A, Thanassoulis G, Glavinovic T, Navar A, Pencina M, Catapano A, Ference B. Apolipoprotein B particles and Cardiovascular Disease: a narrative review. JAMA Cardiol. 2019;4(12):1287–95.PubMedPubMedCentralCrossRef Sniderman A, Thanassoulis G, Glavinovic T, Navar A, Pencina M, Catapano A, Ference B. Apolipoprotein B particles and Cardiovascular Disease: a narrative review. JAMA Cardiol. 2019;4(12):1287–95.PubMedPubMedCentralCrossRef
17.
go back to reference Galimberti F, Casula M, Olmastroni E. Apolipoprotein B compared with low-density lipoprotein cholesterol in the atherosclerotic cardiovascular diseases risk assessment. Pharmacol Res. 2023;195:106873.PubMedCrossRef Galimberti F, Casula M, Olmastroni E. Apolipoprotein B compared with low-density lipoprotein cholesterol in the atherosclerotic cardiovascular diseases risk assessment. Pharmacol Res. 2023;195:106873.PubMedCrossRef
18.
go back to reference Mach F, Baigent C, Catapano A, Koskinas K, Casula M, Badimon L, Chapman M, De Backer G, Delgado V, Ference B, et al. 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020;41(1):111–88.PubMedCrossRef Mach F, Baigent C, Catapano A, Koskinas K, Casula M, Badimon L, Chapman M, De Backer G, Delgado V, Ference B, et al. 2019 ESC/EAS guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk. Eur Heart J. 2020;41(1):111–88.PubMedCrossRef
19.
go back to reference Yaseen R, El-Leboudy M, El-Deeb H. The relation between ApoB/ApoA-1 ratio and the severity of coronary artery disease in patients with acute coronary syndrome. Egypt Heart Journal: (EHJ): Official Bull Egypt Soc Cardiol. 2021;73(1):24. Yaseen R, El-Leboudy M, El-Deeb H. The relation between ApoB/ApoA-1 ratio and the severity of coronary artery disease in patients with acute coronary syndrome. Egypt Heart Journal: (EHJ): Official Bull Egypt Soc Cardiol. 2021;73(1):24.
20.
go back to reference Lamarche B, Moorjani S, Lupien P, Cantin B, Bernard P, Dagenais G, Després J. Apolipoprotein A-I and B levels and the risk of ischemic heart disease during a five-year follow-up of men in the Québec cardiovascular study. Circulation. 1996;94(3):273–8.PubMedCrossRef Lamarche B, Moorjani S, Lupien P, Cantin B, Bernard P, Dagenais G, Després J. Apolipoprotein A-I and B levels and the risk of ischemic heart disease during a five-year follow-up of men in the Québec cardiovascular study. Circulation. 1996;94(3):273–8.PubMedCrossRef
21.
go back to reference Walldius G, Jungner I, Holme I, Aastveit A, Kolar W, Steiner E. High apolipoprotein B, low apolipoprotein A-I, and improvement in the prediction of fatal myocardial infarction (AMORIS study): a prospective study. Lancet (London England). 2001;358(9298):2026–33.PubMedCrossRef Walldius G, Jungner I, Holme I, Aastveit A, Kolar W, Steiner E. High apolipoprotein B, low apolipoprotein A-I, and improvement in the prediction of fatal myocardial infarction (AMORIS study): a prospective study. Lancet (London England). 2001;358(9298):2026–33.PubMedCrossRef
22.
go back to reference McQueen M, Hawken S, Wang X, Ounpuu S, Sniderman A, Probstfield J, Steyn K, Sanderson J, Hasani M, Volkova E, et al. Lipids, lipoproteins, and apolipoproteins as risk markers of myocardial infarction in 52 countries (the INTERHEART study): a case-control study. Lancet (London England). 2008;372(9634):224–33.PubMedCrossRef McQueen M, Hawken S, Wang X, Ounpuu S, Sniderman A, Probstfield J, Steyn K, Sanderson J, Hasani M, Volkova E, et al. Lipids, lipoproteins, and apolipoproteins as risk markers of myocardial infarction in 52 countries (the INTERHEART study): a case-control study. Lancet (London England). 2008;372(9634):224–33.PubMedCrossRef
23.
go back to reference Liu Y, Jia S, Yuan D, Xu N, Jiang L, Gao Z, Chen J, Yang Y, Gao R, Xu B, et al. Apolipoprotein B/A-I ratio predicts Lesion Severity and Clinical outcomes in Diabetic patients with Acute Coronary Syndrome. Circulation Journal: Official Journal of the Japanese Circulation Society. 2020;84(7):1132–9.PubMedCrossRef Liu Y, Jia S, Yuan D, Xu N, Jiang L, Gao Z, Chen J, Yang Y, Gao R, Xu B, et al. Apolipoprotein B/A-I ratio predicts Lesion Severity and Clinical outcomes in Diabetic patients with Acute Coronary Syndrome. Circulation Journal: Official Journal of the Japanese Circulation Society. 2020;84(7):1132–9.PubMedCrossRef
24.
go back to reference Zhou Y, Liu H, Yang H, Zhao X, Jiao Y. The value of the apolipoprotein B/Apolipoprotein A1 ratio in Predicting the Rapid Progression of Non-culprit Coronary Lesions in Acute Coronary Syndrome in patients with diabetes Mellitus after Percutaneous Coronary intervention. Int Heart J. 2023;64(4):562–9.PubMedCrossRef Zhou Y, Liu H, Yang H, Zhao X, Jiao Y. The value of the apolipoprotein B/Apolipoprotein A1 ratio in Predicting the Rapid Progression of Non-culprit Coronary Lesions in Acute Coronary Syndrome in patients with diabetes Mellitus after Percutaneous Coronary intervention. Int Heart J. 2023;64(4):562–9.PubMedCrossRef
25.
go back to reference Bodde M, Hermans M, Jukema J, Schalij M, Lijfering W, Rosendaal F, Romijn F, Ruhaak L, van der Laarse A, Cobbaert C. Apolipoproteins A1, B, and apoB/apoA1 ratio are associated with first ST-segment elevation myocardial infarction but not with recurrent events during long-term follow-up. Clin Res Cardiology: Official J German Cardiac Soc. 2019;108(5):520–38.CrossRef Bodde M, Hermans M, Jukema J, Schalij M, Lijfering W, Rosendaal F, Romijn F, Ruhaak L, van der Laarse A, Cobbaert C. Apolipoproteins A1, B, and apoB/apoA1 ratio are associated with first ST-segment elevation myocardial infarction but not with recurrent events during long-term follow-up. Clin Res Cardiology: Official J German Cardiac Soc. 2019;108(5):520–38.CrossRef
26.
go back to reference Zegarra-Mondragón S, López-González R, Martín-Martínez M, García-Gómez C, Sánchez-Alonso F, González-Juanatey C, Manrique Arija S, Bonilla Hernán G, Martínez Pardo S, Ruibal Escribano A, et al. Association of apolipoprotein B/apolipoprotein A1 ratio and cardiovascular events in rheumatoid arthritis: results of the CARMA study. Clin Exp Rheumatol. 2020;38(4):662–9.PubMed Zegarra-Mondragón S, López-González R, Martín-Martínez M, García-Gómez C, Sánchez-Alonso F, González-Juanatey C, Manrique Arija S, Bonilla Hernán G, Martínez Pardo S, Ruibal Escribano A, et al. Association of apolipoprotein B/apolipoprotein A1 ratio and cardiovascular events in rheumatoid arthritis: results of the CARMA study. Clin Exp Rheumatol. 2020;38(4):662–9.PubMed
27.
go back to reference Pierce B, Ahsan H, Vanderweele T. Power and instrument strength requirements for mendelian randomization studies using multiple genetic variants. Int J Epidemiol. 2011;40(3):740–52.PubMedCrossRef Pierce B, Ahsan H, Vanderweele T. Power and instrument strength requirements for mendelian randomization studies using multiple genetic variants. Int J Epidemiol. 2011;40(3):740–52.PubMedCrossRef
28.
go back to reference Hartwig F, Davey Smith G, Bowden J. Robust inference in summary data mendelian randomization via the zero modal pleiotropy assumption. Int J Epidemiol. 2017;46(6):1985–98.PubMedPubMedCentralCrossRef Hartwig F, Davey Smith G, Bowden J. Robust inference in summary data mendelian randomization via the zero modal pleiotropy assumption. Int J Epidemiol. 2017;46(6):1985–98.PubMedPubMedCentralCrossRef
29.
go back to reference Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol. 2015;44(2):512–25.PubMedPubMedCentralCrossRef Bowden J, Davey Smith G, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol. 2015;44(2):512–25.PubMedPubMedCentralCrossRef
30.
go back to reference Bowden J, Davey Smith G, Haycock P, Burgess S. Consistent estimation in mendelian randomization with some Invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40(4):304–14.PubMedPubMedCentralCrossRef Bowden J, Davey Smith G, Haycock P, Burgess S. Consistent estimation in mendelian randomization with some Invalid instruments using a weighted median estimator. Genet Epidemiol. 2016;40(4):304–14.PubMedPubMedCentralCrossRef
31.
go back to reference Cohen J, Chalumeau M, Cohen R, Korevaar D, Khoshnood B, Bossuyt P. Cochran’s Q test was useful to assess heterogeneity in likelihood ratios in studies of diagnostic accuracy. J Clin Epidemiol. 2015;68(3):299–306.PubMedCrossRef Cohen J, Chalumeau M, Cohen R, Korevaar D, Khoshnood B, Bossuyt P. Cochran’s Q test was useful to assess heterogeneity in likelihood ratios in studies of diagnostic accuracy. J Clin Epidemiol. 2015;68(3):299–306.PubMedCrossRef
32.
go back to reference Lu M, Lu Q, Zhang Y, Tian G. ApoB/apoA1 is an effective predictor of coronary heart disease risk in overweight and obesity. J Biomedical Res. 2011;25(4):266–73.CrossRef Lu M, Lu Q, Zhang Y, Tian G. ApoB/apoA1 is an effective predictor of coronary heart disease risk in overweight and obesity. J Biomedical Res. 2011;25(4):266–73.CrossRef
33.
go back to reference Panayiotou A, Griffin M, Georgiou N, Bond D, Tyllis T, Tziakouri-Shiakalli C, Fessas C, Nicolaides A. ApoB/ApoA1 ratio and subclinical atherosclerosis. Int Angiol. 2008;27(1):74–80.PubMed Panayiotou A, Griffin M, Georgiou N, Bond D, Tyllis T, Tziakouri-Shiakalli C, Fessas C, Nicolaides A. ApoB/ApoA1 ratio and subclinical atherosclerosis. Int Angiol. 2008;27(1):74–80.PubMed
34.
go back to reference Huang H, Ye F, Huang Y, Ye G, Zhu J, Chi X, Zhang G. Coronary CT angiography and serum biomarkers are potential biomarkers for predicting MACE at three-months and one-year follow-up. Int J Cardiovasc Imaging. 2022;38(12):2763–70.PubMedPubMedCentralCrossRef Huang H, Ye F, Huang Y, Ye G, Zhu J, Chi X, Zhang G. Coronary CT angiography and serum biomarkers are potential biomarkers for predicting MACE at three-months and one-year follow-up. Int J Cardiovasc Imaging. 2022;38(12):2763–70.PubMedPubMedCentralCrossRef
35.
go back to reference Sabino A, De Oliveira Sousa M, Moreira Lima L, Dias Ribeiro D, Sant’Ana Dusse L, Das Graças Carvalho M, Fernandes A. ApoB/ApoA-I ratio in young patients with ischemic cerebral stroke or peripheral arterial disease. Translational Research: The Journal of Laboratory and Clinical Medicine. 2008;152(3):113–8.PubMedCrossRef Sabino A, De Oliveira Sousa M, Moreira Lima L, Dias Ribeiro D, Sant’Ana Dusse L, Das Graças Carvalho M, Fernandes A. ApoB/ApoA-I ratio in young patients with ischemic cerebral stroke or peripheral arterial disease. Translational Research: The Journal of Laboratory and Clinical Medicine. 2008;152(3):113–8.PubMedCrossRef
36.
go back to reference Trollope A, Golledge J. Angiopoietins, abdominal aortic aneurysm and atherosclerosis. Atherosclerosis. 2011;214(2):237–43.PubMedCrossRef Trollope A, Golledge J. Angiopoietins, abdominal aortic aneurysm and atherosclerosis. Atherosclerosis. 2011;214(2):237–43.PubMedCrossRef
37.
go back to reference Peshkova I, Schaefer G, Koltsova E. Atherosclerosis and aortic aneurysm - is inflammation a common denominator? FEBS J. 2016;283(9):1636–52.PubMedCrossRef Peshkova I, Schaefer G, Koltsova E. Atherosclerosis and aortic aneurysm - is inflammation a common denominator? FEBS J. 2016;283(9):1636–52.PubMedCrossRef
38.
go back to reference Trott T, Bowman J. Diagnosis and management of Pulmonary Embolism. Emerg Med Clin North Am. 2022;40(3):565–81.PubMedCrossRef Trott T, Bowman J. Diagnosis and management of Pulmonary Embolism. Emerg Med Clin North Am. 2022;40(3):565–81.PubMedCrossRef
39.
go back to reference Xiao J, Borné Y, Bao X, Persson M, Gottsäter A, Acosta S, Engström G. Comparisons of risk factors for abdominal aortic aneurysm and Coronary Heart Disease: a prospective cohort study. Angiology. 2021;72(1):24–31.PubMedCrossRef Xiao J, Borné Y, Bao X, Persson M, Gottsäter A, Acosta S, Engström G. Comparisons of risk factors for abdominal aortic aneurysm and Coronary Heart Disease: a prospective cohort study. Angiology. 2021;72(1):24–31.PubMedCrossRef
40.
go back to reference Alsamani R, Limin Z, Jianwei W, Dan W, Yuehong S, Ziwei L, Huiwen X, Dongzhi W, Yijun S, Lingye Q, et al. Predictive value of the apolipoprotein B/A1 ratio in intracerebral hemorrhage outcomes. J Clin Lab Anal. 2022;36(7):e24562.PubMedPubMedCentralCrossRef Alsamani R, Limin Z, Jianwei W, Dan W, Yuehong S, Ziwei L, Huiwen X, Dongzhi W, Yijun S, Lingye Q, et al. Predictive value of the apolipoprotein B/A1 ratio in intracerebral hemorrhage outcomes. J Clin Lab Anal. 2022;36(7):e24562.PubMedPubMedCentralCrossRef
41.
go back to reference Valenzuela P, Carrera-Bastos P, Castillo-García A, Lieberman D, Santos-Lozano A, Lucia A. Obesity and the risk of cardiometabolic diseases. Nat Reviews Cardiol. 2023;20(7):475–94.CrossRef Valenzuela P, Carrera-Bastos P, Castillo-García A, Lieberman D, Santos-Lozano A, Lucia A. Obesity and the risk of cardiometabolic diseases. Nat Reviews Cardiol. 2023;20(7):475–94.CrossRef
42.
go back to reference Iwamoto S, Abushamat L, Zaman A, Millard A, Cornier M. Obesity management in Cardiometabolic Disease: state of the art. Curr Atheroscler Rep. 2021;23(10):59.PubMedPubMedCentralCrossRef Iwamoto S, Abushamat L, Zaman A, Millard A, Cornier M. Obesity management in Cardiometabolic Disease: state of the art. Curr Atheroscler Rep. 2021;23(10):59.PubMedPubMedCentralCrossRef
43.
go back to reference Neeland I, Ross R, Després J, Matsuzawa Y, Yamashita S, Shai I, Seidell J, Magni P, Santos R, Arsenault B, et al. Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement. The Lancet Diabetes & Endocrinology. 2019;7(9):715–25.CrossRef Neeland I, Ross R, Després J, Matsuzawa Y, Yamashita S, Shai I, Seidell J, Magni P, Santos R, Arsenault B, et al. Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement. The Lancet Diabetes & Endocrinology. 2019;7(9):715–25.CrossRef
44.
go back to reference Jayedi A, Soltani S, Zargar M, Khan T, Shab-Bidar S. Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies. BMJ (Clinical Research ed). 2020;370:m3324.PubMedPubMedCentral Jayedi A, Soltani S, Zargar M, Khan T, Shab-Bidar S. Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies. BMJ (Clinical Research ed). 2020;370:m3324.PubMedPubMedCentral
45.
go back to reference Lee Y, Choi S, Lee K, Kim D. Apolipoprotein B/A1 ratio is associated with free androgen index and visceral adiposity and may be an indicator of metabolic syndrome in male children and adolescents. Clin Endocrinol. 2011;74(5):579–86.CrossRef Lee Y, Choi S, Lee K, Kim D. Apolipoprotein B/A1 ratio is associated with free androgen index and visceral adiposity and may be an indicator of metabolic syndrome in male children and adolescents. Clin Endocrinol. 2011;74(5):579–86.CrossRef
46.
47.
go back to reference Guan B, Wang A, Xu H. Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis. Cardiovasc Diabetol. 2023;22(1):207.PubMedPubMedCentralCrossRef Guan B, Wang A, Xu H. Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis. Cardiovasc Diabetol. 2023;22(1):207.PubMedPubMedCentralCrossRef
48.
go back to reference Vu K, Ballantyne C, Hoogeveen R, Nambi V, Volcik K, Boerwinkle E, Morrison A. Causal role of Alcohol Consumption in an improved lipid Profile: the atherosclerosis risk in communities (ARIC) Study. PLoS ONE. 2016;11(2):e0148765.PubMedPubMedCentralCrossRef Vu K, Ballantyne C, Hoogeveen R, Nambi V, Volcik K, Boerwinkle E, Morrison A. Causal role of Alcohol Consumption in an improved lipid Profile: the atherosclerosis risk in communities (ARIC) Study. PLoS ONE. 2016;11(2):e0148765.PubMedPubMedCentralCrossRef
49.
go back to reference Clarke T, Adams M, Davies G, Howard D, Hall L, Padmanabhan S, Murray A, Smith B, Campbell A, Hayward C, et al. Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N = 112 117). Mol Psychiatry. 2017;22(10):1376–84.PubMedPubMedCentralCrossRef Clarke T, Adams M, Davies G, Howard D, Hall L, Padmanabhan S, Murray A, Smith B, Campbell A, Hayward C, et al. Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N = 112 117). Mol Psychiatry. 2017;22(10):1376–84.PubMedPubMedCentralCrossRef
50.
go back to reference Roerecke M. Alcohol’s Impact on the Cardiovascular System. Nutrients. 2021;13(10). Roerecke M. Alcohol’s Impact on the Cardiovascular System. Nutrients. 2021;13(10).
51.
go back to reference Sierra-Johnson J, Romero-Corral A, Somers V, Lopez-Jimenez F, Walldius G, Hamsten A, Hellénius M, Fisher R. ApoB/apoA-I ratio: an independent predictor of insulin resistance in US non-diabetic subjects. Eur Heart J. 2007;28(21):2637–43.PubMedCrossRef Sierra-Johnson J, Romero-Corral A, Somers V, Lopez-Jimenez F, Walldius G, Hamsten A, Hellénius M, Fisher R. ApoB/apoA-I ratio: an independent predictor of insulin resistance in US non-diabetic subjects. Eur Heart J. 2007;28(21):2637–43.PubMedCrossRef
52.
go back to reference Diaf M, Khaled B, Sellam F. Impact of corpulence parameters and haemoglobin A1c on metabolic control in type 2 diabetic patients: comparison of apolipoprotein B/A-I ratio with fasting and postprandial conventional lipid ratios. Libyan J Med. 2015;10(1):27400.PubMedCrossRef Diaf M, Khaled B, Sellam F. Impact of corpulence parameters and haemoglobin A1c on metabolic control in type 2 diabetic patients: comparison of apolipoprotein B/A-I ratio with fasting and postprandial conventional lipid ratios. Libyan J Med. 2015;10(1):27400.PubMedCrossRef
53.
go back to reference Jia Y, Guo D, Sun L, Shi M, Zhang K, Yang P, Zang Y, Wang Y, Liu F, Zhang Y, et al. Self-reported daytime napping, daytime sleepiness, and other sleep phenotypes in the development of cardiometabolic diseases: a mendelian randomization study. Eur J Prev Cardiol. 2022;29(15):1982–91.PubMedCrossRef Jia Y, Guo D, Sun L, Shi M, Zhang K, Yang P, Zang Y, Wang Y, Liu F, Zhang Y, et al. Self-reported daytime napping, daytime sleepiness, and other sleep phenotypes in the development of cardiometabolic diseases: a mendelian randomization study. Eur J Prev Cardiol. 2022;29(15):1982–91.PubMedCrossRef
54.
go back to reference Drager L, Togeiro S, Polotsky V, Lorenzi-Filho G. Obstructive sleep apnea: a cardiometabolic risk in obesity and the metabolic syndrome. J Am Coll Cardiol. 2013;62(7):569–76.PubMedPubMedCentralCrossRef Drager L, Togeiro S, Polotsky V, Lorenzi-Filho G. Obstructive sleep apnea: a cardiometabolic risk in obesity and the metabolic syndrome. J Am Coll Cardiol. 2013;62(7):569–76.PubMedPubMedCentralCrossRef
55.
go back to reference Rangaraj V, Knutson K. Association between sleep deficiency and cardiometabolic disease: implications for health disparities. Sleep Med. 2016;18:19–35.PubMedCrossRef Rangaraj V, Knutson K. Association between sleep deficiency and cardiometabolic disease: implications for health disparities. Sleep Med. 2016;18:19–35.PubMedCrossRef
56.
go back to reference Lui M, Lam D, Ip M. Significance of endothelial dysfunction in sleep-related breathing disorder. Respirol (Carlton Vic). 2013;18(1):39–46.CrossRef Lui M, Lam D, Ip M. Significance of endothelial dysfunction in sleep-related breathing disorder. Respirol (Carlton Vic). 2013;18(1):39–46.CrossRef
57.
go back to reference Di Angelantonio E, Sarwar N, Perry P, Kaptoge S, Ray K, Thompson A, Wood A, Lewington S, Sattar N, Packard C, et al. Major lipids, apolipoproteins, and risk of vascular disease. JAMA. 2009;302(18):1993–2000.PubMedCrossRef Di Angelantonio E, Sarwar N, Perry P, Kaptoge S, Ray K, Thompson A, Wood A, Lewington S, Sattar N, Packard C, et al. Major lipids, apolipoproteins, and risk of vascular disease. JAMA. 2009;302(18):1993–2000.PubMedCrossRef
58.
go back to reference Voight B, Peloso G, Orho-Melander M, Frikke-Schmidt R, Barbalic M, Jensen M, Hindy G, Hólm H, Ding E, Johnson T, et al. Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study. Lancet (London England). 2012;380(9841):572–80.PubMedCrossRef Voight B, Peloso G, Orho-Melander M, Frikke-Schmidt R, Barbalic M, Jensen M, Hindy G, Hólm H, Ding E, Johnson T, et al. Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study. Lancet (London England). 2012;380(9841):572–80.PubMedCrossRef
Metadata
Title
Revisiting an old relationship: the causal associations of the ApoB/ApoA1 ratio with cardiometabolic diseases and relative risk factors—a mendelian randomization analysis
Authors
Chao Fu
Dongbo Liu
Qi Liu
Xuedong Wang
Xiaoxue Ma
Hong Pan
Shi Feng
Zhao Sun
Weishen Qiao
Mengyue Yang
Shuang Gao
Hongyu Ding
Xingtao Huang
Jingbo Hou
Publication date
01-12-2024
Publisher
BioMed Central
Published in
Cardiovascular Diabetology / Issue 1/2024
Electronic ISSN: 1475-2840
DOI
https://doi.org/10.1186/s12933-024-02140-2

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