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Published in: Endocrine 1/2022

01-04-2022 | Type 2 Diabetes | Original Article

Relationship between the ApoB/ApoA-I ratio trajectory and risk of type 2 diabetes in China: a retrospective cohort study

Authors: Tengfei Yang, Bo Zhao, Dongmei Pei

Published in: Endocrine | Issue 1/2022

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Abstract

Purpose

Little research has investigated the correlation of changes in long-term apolipoprotein B/apolipoprotein A-I (ApoB/ApoA-I) ratio with risk of new-onset type 2 diabetes (T2D) among ordinary people. Therefore, the research took long-term ApoB/ApoA-I ratio trajectories as independent variables for exploring their association with the risk of newly diagnosed T2D.

Methods

Altogether 5362 non-diabetic participants with a median age of 49 were enrolled in the cohort study. Their ApoB/ApoA-I ratio trajectories from 2016 to 2019 were analyzed and grouped using group-based trajectory modeling. The Kaplan–Meier approach was employed for calculating the newly diagnosed T2D-related incidence with different ApoB/ApoA-I ratio trajectories. A log-rank test was conducted for testing the presence of statistical difference in new-onset T2D incidence among the different ApoB/ApoA-I ratio trajectory groups. A multivariate Cox proportional hazards regression model was adopted for analyzing how ApoB/ApoA-I ratio trajectory changes affected new-onset T2D.

Results

From 2016 to 2019, 199 patients developed T2D (3% in 3 years). The incidence of T2D was 2.0%, 3.28%, 5.86%, and 6.92% for low, middle, upper, and high ApoB/ApoA-I ratio trajectories, respectively. Following adjustment of underlying confounding factors, in contrast to low ApoB/ApoA-I ratio trajectory, new-onset T2D risk ratios and hazard ratio (HR) (95% confidence intervals [CI]) for the middle lower ApoB/ApoA-I ratio trajectory, and upper middle and high ApoB/ApoA-I ratio trajectories were [HR (95% CI)] 1.35(0.88–2.08), 1.98(1.27–3.09) and 2.42(1.35–4.34), respectively, indicating high and statistically significant risks of T2D.

Conclusion

Variations of the ApoB/ApoA-I ratio trajectory exerted independent effects on the 3-year incidence of T2D. Long-term monitoring on the ApoB/ApoA-I ratio locus may help improve the identification on patients with T2D.
Literature
1.
go back to reference P. Saeedi, I. Petersohn, P. Salpea, B. Malanda, S. Karuranga, N. Unwin, S. Colagiuri, L. Guariguata, A.A. Motala, K. Ogurtsova, J.E. Shaw, D. Bright, R. Williams, Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9(th) edition. Diabetes Res. Clin. Pract. 157, 107843 (2019)CrossRef P. Saeedi, I. Petersohn, P. Salpea, B. Malanda, S. Karuranga, N. Unwin, S. Colagiuri, L. Guariguata, A.A. Motala, K. Ogurtsova, J.E. Shaw, D. Bright, R. Williams, Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9(th) edition. Diabetes Res. Clin. Pract. 157, 107843 (2019)CrossRef
2.
go back to reference Y. Li, D. Teng, X. Shi, G. Qin, Y. Qin, H. Quan, B. Shi, H. Sun, J. Ba, B. Chen, J. Du, L. He, X. Lai, Y. Li, H. Chi, E. Liao, C. Liu, L. Liu, X. Tang, N. Tong, G. Wang, J.A. Zhang, Y. Wang, Y. Xue, L. Yan, J. Yang, L. Yang, Y. Yao, Z. Ye, Q. Zhang, L. Zhang, J. Zhu, M. Zhu, G. Ning, Y. Mu, J. Zhao, W. Teng, Z. Shan, Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ 369, m997 (2020)CrossRef Y. Li, D. Teng, X. Shi, G. Qin, Y. Qin, H. Quan, B. Shi, H. Sun, J. Ba, B. Chen, J. Du, L. He, X. Lai, Y. Li, H. Chi, E. Liao, C. Liu, L. Liu, X. Tang, N. Tong, G. Wang, J.A. Zhang, Y. Wang, Y. Xue, L. Yan, J. Yang, L. Yang, Y. Yao, Z. Ye, Q. Zhang, L. Zhang, J. Zhu, M. Zhu, G. Ning, Y. Mu, J. Zhao, W. Teng, Z. Shan, Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: national cross sectional study. BMJ 369, m997 (2020)CrossRef
3.
go back to reference Tian Hongyang, G.U. Chengying, General practitioners need to know progress in the management of type 2 diabetes. Shanghai Pharm. 41, 9–17 (2020). 62 Tian Hongyang, G.U. Chengying, General practitioners need to know progress in the management of type 2 diabetes. Shanghai Pharm. 41, 9–17 (2020). 62
4.
go back to reference T. Vos, A.D. Flaxman, M. Naghavi, R. Lozano, C. Michaud, M. Ezzati, K. Shibuya, J.A. Salomon, S. Abdalla, V. Aboyans, J. Abraham, I. Ackerman, R. Aggarwal, S.Y. Ahn, M.K. Ali, M. Alvarado, H.R. Anderson, L.M. Anderson, K.G. Andrews, C. Atkinson, L.M. Baddour, A.N. Bahalim, S. Barker-Collo, L.H. Barrero, D.H. Bartels, M.G. Basáñez, A. Baxter, M.L. Bell, E.J. Benjamin, D. Bennett, E. Bernabé, K. Bhalla, B. Bhandari, B. Bikbov, A. Bin Abdulhak, G. Birbeck, J.A. Black, H. Blencowe, J.D. Blore, F. Blyth, I. Bolliger, A. Bonaventure, S. Boufous, R. Bourne, M. Boussinesq, T. Braithwaite, C. Brayne, L. Bridgett, S. Brooker, P. Brooks, T.S. Brugha, C. Bryan-Hancock, C. Bucello, R. Buchbinder, G. Buckle, C.M. Budke, M. Burch, P. Burney, R. Burstein, B. Calabria, B. Campbell, C.E. Canter, H. Carabin, J. Carapetis, L. Carmona, C. Cella, F. Charlson, H. Chen, A.T. Cheng, D. Chou, S.S. Chugh, L.E. Coffeng, S.D. Colan, S. Colquhoun, K.E. Colson, J. Condon, M.D. Connor, L.T. Cooper, M. Corriere, M. Cortinovis, K.C. de Vaccaro, W. Couser, B.C. Cowie, M.H. Criqui, M. Cross, K.C. Dabhadkar, M. Dahiya, N. Dahodwala, J. Damsere-Derry, G. Danaei, A. Davis, D. De Leo, L. Degenhardt, R. Dellavalle, A. Delossantos, J. Denenberg, S. Derrett, D.C. Des Jarlais, S.D. Dharmaratne, M. Dherani, C. Diaz-Torne, H. Dolk, E.R. Dorsey, T. Driscoll, H. Duber, B. Ebel, K. Edmond, A. Elbaz, S.E. Ali, H. Erskine, P.J. Erwin, P. Espindola, S.E. Ewoigbokhan, F. Farzadfar, V. Feigin, D.T. Felson, A. Ferrari, C.P. Ferri, E.M. Fèvre, M.M. Finucane, S. Flaxman, L. Flood, K. Foreman, M.H. Forouzanfar, F.G. Fowkes, R. Franklin, M. Fransen, M.K. Freeman, B.J. Gabbe, S.E. Gabriel, E. Gakidou, H.A. Ganatra, B. Garcia, F. Gaspari, R.F. Gillum, G. Gmel, R. Gosselin, R. Grainger, J. Groeger, F. Guillemin, D. Gunnell, R. Gupta, J. Haagsma, H. Hagan, Y.A. Halasa, W. Hall, D. Haring, J.M. Haro, J.E. Harrison, R. Havmoeller, R.J. Hay, H. Higashi, C. Hill, B. Hoen, H. Hoffman, P.J. Hotez, D. Hoy, J.J. Huang, S.E. Ibeanusi, K.H. Jacobsen, S.L. James, D. Jarvis, R. Jasrasaria, S. Jayaraman, N. Johns, J.B. Jonas, G. Karthikeyan, N. Kassebaum, N. Kawakami, A. Keren, J.P. Khoo, C.H. King, L.M. Knowlton, O. Kobusingye, A. Koranteng, R. Krishnamurthi, R. Lalloo, L.L. Laslett, T. Lathlean, J.L. Leasher, Y.Y. Lee, J. Leigh, S.S. Lim, E. Limb, J.K. Lin, M. Lipnick, S.E. Lipshultz, W. Liu, M. Loane, S.L. Ohno, R. Lyons, J. Ma, J. Mabweijano, M.F. MacIntyre, R. Malekzadeh, L. Mallinger, S. Manivannan, W. Marcenes, L. March, D.J. Margolis, G.B. Marks, R. Marks, A. Matsumori, R. Matzopoulos, B.M. Mayosi, J.H. McAnulty, M.M. McDermott, N. McGill, J. McGrath, M.E. Medina-Mora, M. Meltzer, G.A. Mensah, T.R. Merriman, A.C. Meyer, V. Miglioli, M. Miller, T.R. Miller, P.B. Mitchell, A.O. Mocumbi, T.E. Moffitt, A.A. Mokdad, L. Monasta, M. Montico, M. Moradi-Lakeh, A. Moran, L. Morawska, R. Mori, M.E. Murdoch, M.K. Mwaniki, K. Naidoo, M.N. Nair, L. Naldi, K.M. Narayan, P.K. Nelson, R.G. Nelson, M.C. Nevitt, C.R. Newton, S. Nolte, P. Norman, R. Norman, M. O’Donnell, S. O’Hanlon, C. Olives, S.B. Omer, K. Ortblad, R. Osborne, D. Ozgediz, A. Page, B. Pahari, J.D. Pandian, A.P. Rivero, S.B. Patten, N. Pearce, R.P. Padilla, F. Perez-Ruiz, N. Perico, K. Pesudovs, D. Phillips, M.R. Phillips, K. Pierce, S. Pion, G.V. Polanczyk, S. Polinder, C.A. Pope 3rd, S. Popova, E. Porrini, F. Pourmalek, M. Prince, R.L. Pullan, K.D. Ramaiah, D. Ranganathan, H. Razavi, M. Regan, J.T. Rehm, D.B. Rein, G. Remuzzi, K. Richardson, F.P. Rivara, T. Roberts, C. Robinson, F.R. De Leòn, L. Ronfani, R. Room, L.C. Rosenfeld, L. Rushton, R.L. Sacco, S. Saha, U. Sampson, L. Sanchez-Riera, E. Sanman, D.C. Schwebel, J.G. Scott, M. Segui-Gomez, S. Shahraz, D.S. Shepard, H. Shin, R. Shivakoti, D. Singh, G.M. Singh, J.A. Singh, J. Singleton, D.A. Sleet, K. Sliwa, E. Smith, J.L. Smith, N.J. Stapelberg, A. Steer, T. Steiner, W.A. Stolk, L.J. Stovner, C. Sudfeld, S. Syed, G. Tamburlini, M. Tavakkoli, H.R. Taylor, J.A. Taylor, W.J. Taylor, B. Thomas, W.M. Thomson, G.D. Thurston, I.M. Tleyjeh, M. Tonelli, J.A. Towbin, T. Truelsen, M.K. Tsilimbaris, C. Ubeda, E.A. Undurraga, M.J. van der Werf, J. van Os, M.S. Vavilala, N. Venketasubramanian, M. Wang, W. Wang, K. Watt, D.J. Weatherall, M.A. Weinstock, R. Weintraub, M.G. Weisskopf, M.M. Weissman, R.A. White, H. Whiteford, S.T. Wiersma, J.D. Wilkinson, H.C. Williams, S.R. Williams, E. Witt, F. Wolfe, A.D. Woolf, S. Wulf, P.H. Yeh, A.K. Zaidi, Z.J. Zheng, D. Zonies, A.D. Lopez, C.J. Murray, M.A. AlMazroa, Z.A. Memish, Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 2163–2196 (2012)CrossRef T. Vos, A.D. Flaxman, M. Naghavi, R. Lozano, C. Michaud, M. Ezzati, K. Shibuya, J.A. Salomon, S. Abdalla, V. Aboyans, J. Abraham, I. Ackerman, R. Aggarwal, S.Y. Ahn, M.K. Ali, M. Alvarado, H.R. Anderson, L.M. Anderson, K.G. Andrews, C. Atkinson, L.M. Baddour, A.N. Bahalim, S. Barker-Collo, L.H. Barrero, D.H. Bartels, M.G. Basáñez, A. Baxter, M.L. Bell, E.J. Benjamin, D. Bennett, E. Bernabé, K. Bhalla, B. Bhandari, B. Bikbov, A. Bin Abdulhak, G. Birbeck, J.A. Black, H. Blencowe, J.D. Blore, F. Blyth, I. Bolliger, A. Bonaventure, S. Boufous, R. Bourne, M. Boussinesq, T. Braithwaite, C. Brayne, L. Bridgett, S. Brooker, P. Brooks, T.S. Brugha, C. Bryan-Hancock, C. Bucello, R. Buchbinder, G. Buckle, C.M. Budke, M. Burch, P. Burney, R. Burstein, B. Calabria, B. Campbell, C.E. Canter, H. Carabin, J. Carapetis, L. Carmona, C. Cella, F. Charlson, H. Chen, A.T. Cheng, D. Chou, S.S. Chugh, L.E. Coffeng, S.D. Colan, S. Colquhoun, K.E. Colson, J. Condon, M.D. Connor, L.T. Cooper, M. Corriere, M. Cortinovis, K.C. de Vaccaro, W. Couser, B.C. Cowie, M.H. Criqui, M. Cross, K.C. Dabhadkar, M. Dahiya, N. Dahodwala, J. Damsere-Derry, G. Danaei, A. Davis, D. De Leo, L. Degenhardt, R. Dellavalle, A. Delossantos, J. Denenberg, S. Derrett, D.C. Des Jarlais, S.D. Dharmaratne, M. Dherani, C. Diaz-Torne, H. Dolk, E.R. Dorsey, T. Driscoll, H. Duber, B. Ebel, K. Edmond, A. Elbaz, S.E. Ali, H. Erskine, P.J. Erwin, P. Espindola, S.E. Ewoigbokhan, F. Farzadfar, V. Feigin, D.T. Felson, A. Ferrari, C.P. Ferri, E.M. Fèvre, M.M. Finucane, S. Flaxman, L. Flood, K. Foreman, M.H. Forouzanfar, F.G. Fowkes, R. Franklin, M. Fransen, M.K. Freeman, B.J. Gabbe, S.E. Gabriel, E. Gakidou, H.A. Ganatra, B. Garcia, F. Gaspari, R.F. Gillum, G. Gmel, R. Gosselin, R. Grainger, J. Groeger, F. Guillemin, D. Gunnell, R. Gupta, J. Haagsma, H. Hagan, Y.A. Halasa, W. Hall, D. Haring, J.M. Haro, J.E. Harrison, R. Havmoeller, R.J. Hay, H. Higashi, C. Hill, B. Hoen, H. Hoffman, P.J. Hotez, D. Hoy, J.J. Huang, S.E. Ibeanusi, K.H. Jacobsen, S.L. James, D. Jarvis, R. Jasrasaria, S. Jayaraman, N. Johns, J.B. Jonas, G. Karthikeyan, N. Kassebaum, N. Kawakami, A. Keren, J.P. Khoo, C.H. King, L.M. Knowlton, O. Kobusingye, A. Koranteng, R. Krishnamurthi, R. Lalloo, L.L. Laslett, T. Lathlean, J.L. Leasher, Y.Y. Lee, J. Leigh, S.S. Lim, E. Limb, J.K. Lin, M. Lipnick, S.E. Lipshultz, W. Liu, M. Loane, S.L. Ohno, R. Lyons, J. Ma, J. Mabweijano, M.F. MacIntyre, R. Malekzadeh, L. Mallinger, S. Manivannan, W. Marcenes, L. March, D.J. Margolis, G.B. Marks, R. Marks, A. Matsumori, R. Matzopoulos, B.M. Mayosi, J.H. McAnulty, M.M. McDermott, N. McGill, J. McGrath, M.E. Medina-Mora, M. Meltzer, G.A. Mensah, T.R. Merriman, A.C. Meyer, V. Miglioli, M. Miller, T.R. Miller, P.B. Mitchell, A.O. Mocumbi, T.E. Moffitt, A.A. Mokdad, L. Monasta, M. Montico, M. Moradi-Lakeh, A. Moran, L. Morawska, R. Mori, M.E. Murdoch, M.K. Mwaniki, K. Naidoo, M.N. Nair, L. Naldi, K.M. Narayan, P.K. Nelson, R.G. Nelson, M.C. Nevitt, C.R. Newton, S. Nolte, P. Norman, R. Norman, M. O’Donnell, S. O’Hanlon, C. Olives, S.B. Omer, K. Ortblad, R. Osborne, D. Ozgediz, A. Page, B. Pahari, J.D. Pandian, A.P. Rivero, S.B. Patten, N. Pearce, R.P. Padilla, F. Perez-Ruiz, N. Perico, K. Pesudovs, D. Phillips, M.R. Phillips, K. Pierce, S. Pion, G.V. Polanczyk, S. Polinder, C.A. Pope 3rd, S. Popova, E. Porrini, F. Pourmalek, M. Prince, R.L. Pullan, K.D. Ramaiah, D. Ranganathan, H. Razavi, M. Regan, J.T. Rehm, D.B. Rein, G. Remuzzi, K. Richardson, F.P. Rivara, T. Roberts, C. Robinson, F.R. De Leòn, L. Ronfani, R. Room, L.C. Rosenfeld, L. Rushton, R.L. Sacco, S. Saha, U. Sampson, L. Sanchez-Riera, E. Sanman, D.C. Schwebel, J.G. Scott, M. Segui-Gomez, S. Shahraz, D.S. Shepard, H. Shin, R. Shivakoti, D. Singh, G.M. Singh, J.A. Singh, J. Singleton, D.A. Sleet, K. Sliwa, E. Smith, J.L. Smith, N.J. Stapelberg, A. Steer, T. Steiner, W.A. Stolk, L.J. Stovner, C. Sudfeld, S. Syed, G. Tamburlini, M. Tavakkoli, H.R. Taylor, J.A. Taylor, W.J. Taylor, B. Thomas, W.M. Thomson, G.D. Thurston, I.M. Tleyjeh, M. Tonelli, J.A. Towbin, T. Truelsen, M.K. Tsilimbaris, C. Ubeda, E.A. Undurraga, M.J. van der Werf, J. van Os, M.S. Vavilala, N. Venketasubramanian, M. Wang, W. Wang, K. Watt, D.J. Weatherall, M.A. Weinstock, R. Weintraub, M.G. Weisskopf, M.M. Weissman, R.A. White, H. Whiteford, S.T. Wiersma, J.D. Wilkinson, H.C. Williams, S.R. Williams, E. Witt, F. Wolfe, A.D. Woolf, S. Wulf, P.H. Yeh, A.K. Zaidi, Z.J. Zheng, D. Zonies, A.D. Lopez, C.J. Murray, M.A. AlMazroa, Z.A. Memish, Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 380, 2163–2196 (2012)CrossRef
5.
go back to reference A. Festa, K. Williams, R. D’Agostino Jr, L.E. Wagenknecht, S.M. Haffner, The natural course of beta-cell function in nondiabetic and diabetic individuals: the Insulin Resistance Atherosclerosis Study. Diabetes 55, 1114–1120 (2006)CrossRef A. Festa, K. Williams, R. D’Agostino Jr, L.E. Wagenknecht, S.M. Haffner, The natural course of beta-cell function in nondiabetic and diabetic individuals: the Insulin Resistance Atherosclerosis Study. Diabetes 55, 1114–1120 (2006)CrossRef
6.
go back to reference E.E. Blaak, Fatty acid metabolism in obesity and type 2 diabetes mellitus. Proc. Nutr. Soc. 62, 753–760 (2003)CrossRef E.E. Blaak, Fatty acid metabolism in obesity and type 2 diabetes mellitus. Proc. Nutr. Soc. 62, 753–760 (2003)CrossRef
7.
go back to reference G. Boden, Effects of free fatty acids (FFA) on glucose metabolism: significance for insulin resistance and type 2 diabetes. Exp. Clin. Endocrinol. Diabetes 111, 121–124 (2003)CrossRef G. Boden, Effects of free fatty acids (FFA) on glucose metabolism: significance for insulin resistance and type 2 diabetes. Exp. Clin. Endocrinol. Diabetes 111, 121–124 (2003)CrossRef
8.
go back to reference J.D. McGarry, Banting lecture 2001: dysregulation of fatty acid metabolism in the etiology of type 2 diabetes. Diabetes 51, 7–18 (2002)CrossRef J.D. McGarry, Banting lecture 2001: dysregulation of fatty acid metabolism in the etiology of type 2 diabetes. Diabetes 51, 7–18 (2002)CrossRef
9.
go back to reference M. Rasouli, A.M. Kiasari, V. Mokhberi, The ratio of apoB/apoAI, apoB and lipoprotein(a) are the best predictors of stable coronary artery disease. Clin. Chem. Lab. Med 44, 1015–1021 (2006)PubMed M. Rasouli, A.M. Kiasari, V. Mokhberi, The ratio of apoB/apoAI, apoB and lipoprotein(a) are the best predictors of stable coronary artery disease. Clin. Chem. Lab. Med 44, 1015–1021 (2006)PubMed
10.
go back to reference G. Walldius, A.H. Aastveit, I. Jungner, Stroke mortality and the apoB/apoA-I ratio: results of the AMORIS prospective study. J. Intern. Med. 259, 259–266 (2006)CrossRef G. Walldius, A.H. Aastveit, I. Jungner, Stroke mortality and the apoB/apoA-I ratio: results of the AMORIS prospective study. J. Intern. Med. 259, 259–266 (2006)CrossRef
11.
go back to reference G.P. Carnevale Schianca, R. Pedrazzoli, S. Onolfo, E. Colli, E. Cornetti, L. Bergamasco, G.P. Fra, E. Bartoli, ApoB/apoA-I ratio is better than LDL-C in detecting cardiovascular risk. Nutr Metab Cardiovasc Dis 21, 406–411 (2011)CrossRef G.P. Carnevale Schianca, R. Pedrazzoli, S. Onolfo, E. Colli, E. Cornetti, L. Bergamasco, G.P. Fra, E. Bartoli, ApoB/apoA-I ratio is better than LDL-C in detecting cardiovascular risk. Nutr Metab Cardiovasc Dis 21, 406–411 (2011)CrossRef
12.
go back to reference O. Ben Ounis, M. Elloumi, E. Makni, H. Zouhal, M. Amri, Z. Tabka, G. Lac, Exercise improves the ApoB/ApoA-I ratio, a marker of the metabolic syndrome in obese children. Acta Paediatr. 99, 1679–1685 (2010)CrossRef O. Ben Ounis, M. Elloumi, E. Makni, H. Zouhal, M. Amri, Z. Tabka, G. Lac, Exercise improves the ApoB/ApoA-I ratio, a marker of the metabolic syndrome in obese children. Acta Paediatr. 99, 1679–1685 (2010)CrossRef
13.
go back to reference X. Ying, Y. Qian, Y. Jiang, Z. Jiang, Z. Song, C. Zhao, Association of the apolipoprotein B/apolipoprotein A-I ratio and low-density lipoprotein cholesterol with insulin resistance in a Chinese population with abdominal obesity. Acta Diabetol. 49, 465–472 (2012)CrossRef X. Ying, Y. Qian, Y. Jiang, Z. Jiang, Z. Song, C. Zhao, Association of the apolipoprotein B/apolipoprotein A-I ratio and low-density lipoprotein cholesterol with insulin resistance in a Chinese population with abdominal obesity. Acta Diabetol. 49, 465–472 (2012)CrossRef
14.
go back to reference J. Sierra-Johnson, A. Romero-Corral, V.K. Somers, F. Lopez-Jimenez, G. Walldius, A. Hamsten, M.L. Hellénius, R.M. Fisher, ApoB/apoA-I ratio: an independent predictor of insulin resistance in US non-diabetic subjects. Eur. Heart J. 28, 2637–2643 (2007)CrossRef J. Sierra-Johnson, A. Romero-Corral, V.K. Somers, F. Lopez-Jimenez, G. Walldius, A. Hamsten, M.L. Hellénius, R.M. Fisher, ApoB/apoA-I ratio: an independent predictor of insulin resistance in US non-diabetic subjects. Eur. Heart J. 28, 2637–2643 (2007)CrossRef
15.
go back to reference S. Zheng, T. Han, H. Xu, H. Zhou, X. Ren, P. Wu, J. Zheng, L. Wang, M. Zhang, Y. Jiang, Y. Chen, H. Qiu, W. Liu, Y. Hu, Associations of apolipoprotein B/apolipoprotein A-I ratio with pre-diabetes and diabetes risks: a cross-sectional study in Chinese adults. BMJ Open 7, e014038 (2017)CrossRef S. Zheng, T. Han, H. Xu, H. Zhou, X. Ren, P. Wu, J. Zheng, L. Wang, M. Zhang, Y. Jiang, Y. Chen, H. Qiu, W. Liu, Y. Hu, Associations of apolipoprotein B/apolipoprotein A-I ratio with pre-diabetes and diabetes risks: a cross-sectional study in Chinese adults. BMJ Open 7, e014038 (2017)CrossRef
16.
go back to reference Y. Mao, Y. Xu, L. Lu, The nonlinear association between apolipoprotein B to apolipoprotein A1 ratio and type 2 diabetes. Medicine 96, e5834 (2017)CrossRef Y. Mao, Y. Xu, L. Lu, The nonlinear association between apolipoprotein B to apolipoprotein A1 ratio and type 2 diabetes. Medicine 96, e5834 (2017)CrossRef
17.
go back to reference S. Wu, S. An, W. Li, A.H. Lichtenstein, J. Gao, P.M. Kris-Etherton, Y. Wu, C. Jin, S. Huang, F.B. Hu, X. Gao, Association of trajectory of cardiovascular health score and incident cardiovascular disease. JAMA Netw. Open 2, e194758 (2019)CrossRef S. Wu, S. An, W. Li, A.H. Lichtenstein, J. Gao, P.M. Kris-Etherton, Y. Wu, C. Jin, S. Huang, F.B. Hu, X. Gao, Association of trajectory of cardiovascular health score and incident cardiovascular disease. JAMA Netw. Open 2, e194758 (2019)CrossRef
18.
go back to reference D.S. Nagin, Group-based trajectory modeling: an overview. Ann. Nutr. Metab. 65, 205–210 (2014)CrossRef D.S. Nagin, Group-based trajectory modeling: an overview. Ann. Nutr. Metab. 65, 205–210 (2014)CrossRef
19.
go back to reference D.S. Nagin, B.L. Jones, V.L. Passos, R.E. Tremblay, Group-based multi-trajectory modeling. Stat. Methods Med. Res. 27, 2015–2023 (2018)CrossRef D.S. Nagin, B.L. Jones, V.L. Passos, R.E. Tremblay, Group-based multi-trajectory modeling. Stat. Methods Med. Res. 27, 2015–2023 (2018)CrossRef
20.
go back to reference J. Elmer, B.L. Jones, D.S. Nagin, Using the Beta distribution in group-based trajectory models. BMC Med. Res. Methodol. 18, 152 (2018)CrossRef J. Elmer, B.L. Jones, D.S. Nagin, Using the Beta distribution in group-based trajectory models. BMC Med. Res. Methodol. 18, 152 (2018)CrossRef
21.
go back to reference L. Gao, Y. Zhang, X. Wang, H. Dong, Association of apolipoproteins A1 and B with type 2 diabetes and fasting blood glucose: a cross-sectional study. BMC Endocr. Disord. 21, 59 (2021)CrossRef L. Gao, Y. Zhang, X. Wang, H. Dong, Association of apolipoproteins A1 and B with type 2 diabetes and fasting blood glucose: a cross-sectional study. BMC Endocr. Disord. 21, 59 (2021)CrossRef
22.
go back to reference M.H. Seo, J.C. Bae, S.E. Park, E.J. Rhee, C.Y. Park, K.W. Oh, S.W. Park, S.W. Kim, W.Y. Lee, Association of lipid and lipoprotein profiles with future development of type 2 diabetes in nondiabetic Korean subjects: a 4-year retrospective, longitudinal study. J. Clin. Endocrinol. Metab 96, E2050–E2054 (2011)CrossRef M.H. Seo, J.C. Bae, S.E. Park, E.J. Rhee, C.Y. Park, K.W. Oh, S.W. Park, S.W. Kim, W.Y. Lee, Association of lipid and lipoprotein profiles with future development of type 2 diabetes in nondiabetic Korean subjects: a 4-year retrospective, longitudinal study. J. Clin. Endocrinol. Metab 96, E2050–E2054 (2011)CrossRef
23.
go back to reference Y.C. Chou, S.L. You, C.H. Bai, Y.C. Liao, C.Y. Wei, C.A. Sun, Utility of apolipoprotein measurements in predicting incident type 2 diabetes: a Chinese cohort study. J. Formos. Med. Assoc. 119, 51–58 (2020)CrossRef Y.C. Chou, S.L. You, C.H. Bai, Y.C. Liao, C.Y. Wei, C.A. Sun, Utility of apolipoprotein measurements in predicting incident type 2 diabetes: a Chinese cohort study. J. Formos. Med. Assoc. 119, 51–58 (2020)CrossRef
24.
go back to reference M.Y. Donath, S.E. Shoelson, Type 2 diabetes as an inflammatory disease. Nat. Rev. Immunol. 11, 98–107 (2011)CrossRef M.Y. Donath, S.E. Shoelson, Type 2 diabetes as an inflammatory disease. Nat. Rev. Immunol. 11, 98–107 (2011)CrossRef
25.
go back to reference T. Reinehr, C.L. Roth, Inflammation markers in type 2 diabetes and the metabolic syndrome in the pediatric population. Curr. Diab. Rep. 18, 131 (2018)CrossRef T. Reinehr, C.L. Roth, Inflammation markers in type 2 diabetes and the metabolic syndrome in the pediatric population. Curr. Diab. Rep. 18, 131 (2018)CrossRef
26.
go back to reference K.C. Sung, S. Ryu, J.W. Sung, Y.B. Kim, Y.S. Won, D.S. Cho, S.H. Kim, A. Liu, Inflammation in the prediction of type 2 diabetes and hypertension in healthy adults. Arch. Med. Res. 48, 535–545 (2017)CrossRef K.C. Sung, S. Ryu, J.W. Sung, Y.B. Kim, Y.S. Won, D.S. Cho, S.H. Kim, A. Liu, Inflammation in the prediction of type 2 diabetes and hypertension in healthy adults. Arch. Med. Res. 48, 535–545 (2017)CrossRef
27.
go back to reference K. Rehman, M. Akash, A. Liaqat, S. Kamal, M.I. Qadir, A. Rasul, Role of interleukin-6 in development of insulin resistance and type 2 diabetes mellitus. Crit. Rev. Eukaryot. Gene Expr. 27, 229–236 (2017)CrossRef K. Rehman, M. Akash, A. Liaqat, S. Kamal, M.I. Qadir, A. Rasul, Role of interleukin-6 in development of insulin resistance and type 2 diabetes mellitus. Crit. Rev. Eukaryot. Gene Expr. 27, 229–236 (2017)CrossRef
28.
go back to reference M. Akash, K. Rehman, A. Liaqat, Tumor necrosis factor-alpha: role in development of insulin resistance and pathogenesis of type 2 diabetes mellitus. J. Cell. Biochem. 119, 105–110 (2018)CrossRef M. Akash, K. Rehman, A. Liaqat, Tumor necrosis factor-alpha: role in development of insulin resistance and pathogenesis of type 2 diabetes mellitus. J. Cell. Biochem. 119, 105–110 (2018)CrossRef
29.
go back to reference S. Kashima, K. Inoue, M. Matsumoto, K. Akimoto, White blood cell count and C-reactive protein independently predicted incident diabetes: yuport medical checkup center study. Endocr. Res. 44, 127–137 (2019)CrossRef S. Kashima, K. Inoue, M. Matsumoto, K. Akimoto, White blood cell count and C-reactive protein independently predicted incident diabetes: yuport medical checkup center study. Endocr. Res. 44, 127–137 (2019)CrossRef
30.
go back to reference Y. Xu, Z. Zhao, X. Li, Y. Bi, M. Xu, G. Ning, Relationships between C-reactive protein, white blood cell count, and insulin resistance in a Chinese population. Endocrine 39, 175–181 (2011)CrossRef Y. Xu, Z. Zhao, X. Li, Y. Bi, M. Xu, G. Ning, Relationships between C-reactive protein, white blood cell count, and insulin resistance in a Chinese population. Endocrine 39, 175–181 (2011)CrossRef
31.
go back to reference G. Twig, A. Afek, A. Shamiss, E. Derazne, D. Tzur, B. Gordon, A. Tirosh, White blood cells count and incidence of type 2 diabetes in young men. Diabetes Care 36, 276–282 (2013)CrossRef G. Twig, A. Afek, A. Shamiss, E. Derazne, D. Tzur, B. Gordon, A. Tirosh, White blood cells count and incidence of type 2 diabetes in young men. Diabetes Care 36, 276–282 (2013)CrossRef
32.
go back to reference A.D. Mooradian, Dyslipidemia in type 2 diabetes mellitus. Nat. Clin. Pract. Endocrinol. Metab. 5, 150–159 (2009)PubMed A.D. Mooradian, Dyslipidemia in type 2 diabetes mellitus. Nat. Clin. Pract. Endocrinol. Metab. 5, 150–159 (2009)PubMed
33.
go back to reference N. Esser, S. Legrand-Poels, J. Piette, A.J. Scheen, N. Paquot, Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes. Diabetes Res. Clin. Pract. 105, 141–150 (2014)CrossRef N. Esser, S. Legrand-Poels, J. Piette, A.J. Scheen, N. Paquot, Inflammation as a link between obesity, metabolic syndrome and type 2 diabetes. Diabetes Res. Clin. Pract. 105, 141–150 (2014)CrossRef
34.
go back to reference Z.Z. Wen, D.F. Geng, J.G. Luo, J.F. Wang, Combined use of high-sensitivity C-reactive protein and apolipoprotein B/apolipoprotein A-1 ratio prior to elective coronary angiography and oral glucose tolerance tests. Clin. Biochem. 44, 1284–1291 (2011)CrossRef Z.Z. Wen, D.F. Geng, J.G. Luo, J.F. Wang, Combined use of high-sensitivity C-reactive protein and apolipoprotein B/apolipoprotein A-1 ratio prior to elective coronary angiography and oral glucose tolerance tests. Clin. Biochem. 44, 1284–1291 (2011)CrossRef
35.
go back to reference A.M. Fritzen, J. Domingo-Espín, A.M. Lundsgaard, M. Kleinert, I. Israelsen, C.S. Carl, T.S. Nicolaisen, R. Kjøbsted, J.F. Jeppesen, J. Wojtaszewski, J.O. Lagerstedt, B. Kiens, ApoA-1 improves glucose tolerance by increasing glucose uptake into heart and skeletal muscle independently of AMPKα(2). Mol. Metab. 35, 100949 (2020)CrossRef A.M. Fritzen, J. Domingo-Espín, A.M. Lundsgaard, M. Kleinert, I. Israelsen, C.S. Carl, T.S. Nicolaisen, R. Kjøbsted, J.F. Jeppesen, J. Wojtaszewski, J.O. Lagerstedt, B. Kiens, ApoA-1 improves glucose tolerance by increasing glucose uptake into heart and skeletal muscle independently of AMPKα(2). Mol. Metab. 35, 100949 (2020)CrossRef
36.
go back to reference Worldwide trends in diabetes since 1980, a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet 387, 1513–1530 (2016)CrossRef Worldwide trends in diabetes since 1980, a pooled analysis of 751 population-based studies with 4.4 million participants. Lancet 387, 1513–1530 (2016)CrossRef
37.
go back to reference P.Z. Zimmet, D.J. Magliano, W.H. Herman, J.E. Shaw, Diabetes: a 21st century challenge. Lancet Diabetes Endocrinol. 2, 56–64 (2014)CrossRef P.Z. Zimmet, D.J. Magliano, W.H. Herman, J.E. Shaw, Diabetes: a 21st century challenge. Lancet Diabetes Endocrinol. 2, 56–64 (2014)CrossRef
38.
go back to reference T. Kondo, M. Kishi, T. Fushimi, S. Ugajin, T. Kaga, Vinegar intake reduces body weight, body fat mass, and serum triglyceride levels in obese Japanese subjects. Biosci. Biotechnol. Biochem. 73, 1837–1843 (2009)CrossRef T. Kondo, M. Kishi, T. Fushimi, S. Ugajin, T. Kaga, Vinegar intake reduces body weight, body fat mass, and serum triglyceride levels in obese Japanese subjects. Biosci. Biotechnol. Biochem. 73, 1837–1843 (2009)CrossRef
39.
go back to reference J. Wiltink, M. Michal, P.S. Wild, I. Zwiener, M. Blettner, T. Münzel, A. Schulz, Y. Kirschner, M.E. Beutel, Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR). BMC Psychiatry 13, 223 (2013)CrossRef J. Wiltink, M. Michal, P.S. Wild, I. Zwiener, M. Blettner, T. Münzel, A. Schulz, Y. Kirschner, M.E. Beutel, Associations between depression and different measures of obesity (BMI, WC, WHtR, WHR). BMC Psychiatry 13, 223 (2013)CrossRef
Metadata
Title
Relationship between the ApoB/ApoA-I ratio trajectory and risk of type 2 diabetes in China: a retrospective cohort study
Authors
Tengfei Yang
Bo Zhao
Dongmei Pei
Publication date
01-04-2022
Publisher
Springer US
Keyword
Type 2 Diabetes
Published in
Endocrine / Issue 1/2022
Print ISSN: 1355-008X
Electronic ISSN: 1559-0100
DOI
https://doi.org/10.1007/s12020-021-02961-1

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