Dietary Insulin Index (DII) and Dietary Insulin load (DIL) and Caveolin gene variant interaction on cardiometabolic risk factors among overweight and obese women: a cross-sectional study.
Cardiovascular disease
Caveolin
Dietary insulin index (DII)
Dietary insulin load (DIL)
Journal
European journal of medical research
ISSN: 2047-783X
Titre abrégé: Eur J Med Res
Pays: England
ID NLM: 9517857
Informations de publication
Date de publication:
24 Jan 2024
24 Jan 2024
Historique:
received:
25
03
2023
accepted:
03
01
2024
medline:
25
1
2024
pubmed:
25
1
2024
entrez:
24
1
2024
Statut:
epublish
Résumé
Studies have shown that Caveolin gene polymorphisms (CAV-1) are involved in chronic diseases, such as metabolic syndrome. Moreover, the dietary insulin index (DII) and dietary insulin load (DIL) have been shown to potentially elicit favorable effects on cardiovascular disease (CVD) risk. Therefore, this study sought to investigate the effect of DII DIL and CAV-1 interaction on CVD risk factors. This cross-sectional study consisted of 333 overweight and obese women aged 18-48 years. Dietary intakes, DII, and DIL were evaluated using the 147-item food frequency questionnaire (FFQ). Serum profiles were measured by standard protocols. The CAV-1 rs 3,807,992 and anthropometric data were measured by the PCR-RFLP method and bioelectrical impedance analysis (BIA), respectively. Participants were also divided into three groups based on DII, DIL score, and rs3807992 genotype. This comparative cross-sectional study was conducted on 333 women classified as overweight or obese. Participants with A allele for the caveolin genotype and higher DII score showed significant interactions with high-density lipoprotein (HDL) (P for AA = 0.006 and P for AG = 0.019) and CRI-I (P for AA < 0.001 and P for AG = 0.024). In participants with AA genotype and greater DII score, interactions were observed in weight, systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol, CRI-II, fat-free mass (FFM), and skeletal muscle mass (SMM) (P < 0.079). Those with higher DIL scores and AA genotype had higher weight (P = 0.033), FFM (P = 0.022), and SMM (P = 0.024). In addition, DIL interactions for waist/hip ratio (WHR), waist circumference (WC), triglyceride (TG), CRI-I, and body fat mass (BFM) among individuals with AA genotype, while an HDL interaction was observed in individuals with AG and AA (P < 0.066). The findings of the present study indicate that people who carry the caveolin rs3807992 (A) allele and have greater DII and DIL scores are at higher risk for several cardiovascular disease and metabolic syndrome biomarkers. These results highlight that diet, gene variants, and their interaction, should be considered in the risk evaluation of developing CVD.
Sections du résumé
BACKGROUND AND OBJECTIVE
OBJECTIVE
Studies have shown that Caveolin gene polymorphisms (CAV-1) are involved in chronic diseases, such as metabolic syndrome. Moreover, the dietary insulin index (DII) and dietary insulin load (DIL) have been shown to potentially elicit favorable effects on cardiovascular disease (CVD) risk. Therefore, this study sought to investigate the effect of DII DIL and CAV-1 interaction on CVD risk factors.
METHODS
METHODS
This cross-sectional study consisted of 333 overweight and obese women aged 18-48 years. Dietary intakes, DII, and DIL were evaluated using the 147-item food frequency questionnaire (FFQ). Serum profiles were measured by standard protocols. The CAV-1 rs 3,807,992 and anthropometric data were measured by the PCR-RFLP method and bioelectrical impedance analysis (BIA), respectively. Participants were also divided into three groups based on DII, DIL score, and rs3807992 genotype.
RESULTS
RESULTS
This comparative cross-sectional study was conducted on 333 women classified as overweight or obese. Participants with A allele for the caveolin genotype and higher DII score showed significant interactions with high-density lipoprotein (HDL) (P for AA = 0.006 and P for AG = 0.019) and CRI-I (P for AA < 0.001 and P for AG = 0.024). In participants with AA genotype and greater DII score, interactions were observed in weight, systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol, CRI-II, fat-free mass (FFM), and skeletal muscle mass (SMM) (P < 0.079). Those with higher DIL scores and AA genotype had higher weight (P = 0.033), FFM (P = 0.022), and SMM (P = 0.024). In addition, DIL interactions for waist/hip ratio (WHR), waist circumference (WC), triglyceride (TG), CRI-I, and body fat mass (BFM) among individuals with AA genotype, while an HDL interaction was observed in individuals with AG and AA (P < 0.066).
CONCLUSION
CONCLUSIONS
The findings of the present study indicate that people who carry the caveolin rs3807992 (A) allele and have greater DII and DIL scores are at higher risk for several cardiovascular disease and metabolic syndrome biomarkers. These results highlight that diet, gene variants, and their interaction, should be considered in the risk evaluation of developing CVD.
Identifiants
pubmed: 38268038
doi: 10.1186/s40001-024-01638-5
pii: 10.1186/s40001-024-01638-5
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
74Informations de copyright
© 2024. The Author(s).
Références
Mauvais-Jarvis F. Sex differences in metabolic homeostasis, diabetes, and obesity. Biol Sex Differ. 2015;6:14. https://doi.org/10.1186/s13293-015-0033-y .
doi: 10.1186/s13293-015-0033-y
pubmed: 26339468
pmcid: 4559072
Blüher M. Obesity: global epidemiology and pathogenesis. Nat Rev Endocrinol. 2019;15:288–98. https://doi.org/10.1038/s41574-019-0176-8 .
doi: 10.1038/s41574-019-0176-8
pubmed: 30814686
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet (London, England). 2014;384:766–81. https://doi.org/10.1016/s0140-6736(14)60460-8 .
doi: 10.1016/s0140-6736(14)60460-8
pubmed: 24880830
Stefan N, Häring HU, Hu FB, Schulze MB. Metabolically healthy obesity: epidemiology, mechanisms, and clinical implications. Lancet Diabetes Endocrinol. 2013;1:152–62. https://doi.org/10.1016/s2213-8587(13)70062-7 .
doi: 10.1016/s2213-8587(13)70062-7
pubmed: 24622321
Lee SC, Hairi NN, Moy FM. Metabolic syndrome among non-obese adults in the teaching profession in Melaka, Malaysia. J Epidemiol. 2017;27:130–4. https://doi.org/10.1016/j.je.2016.10.006 .
doi: 10.1016/j.je.2016.10.006
pubmed: 28142038
Jakubiak GK, Osadnik K, Lejawa M, Kasperczyk S, Osadnik T, Pawlas N. Oxidative stress in association with metabolic health and obesity in young adults. Oxid Med Cell Longev. 2021;2021:9987352. https://doi.org/10.1155/2021/9987352 .
doi: 10.1155/2021/9987352
pubmed: 34257828
pmcid: 8257366
Dubois-Deruy E, Peugnet V, Turkieh A, Pinet F. Oxidative stress in cardiovascular diseases. Antioxidants (Basel, Switzerland). 2020. https://doi.org/10.3390/antiox9090864 .
doi: 10.3390/antiox9090864
pubmed: 32937950
Hayes JD, Dinkova-Kostova AT, Tew KD. Oxidative stress in cancer. Cancer Cell. 2020;38:167–97. https://doi.org/10.1016/j.ccell.2020.06.001 .
doi: 10.1016/j.ccell.2020.06.001
pubmed: 32649885
pmcid: 7439808
Gasmi A, Noor S, Menzel A, Doşa A, Pivina L, Bjørklund G. Obesity and insulin resistance: associations with chronic inflammation, genetic and epigenetic factors. Curr Med Chem. 2021;28:800–26. https://doi.org/10.2174/0929867327666200824112056 .
doi: 10.2174/0929867327666200824112056
pubmed: 32838708
Tan BL, Norhaizan ME. Effect of high-fat diets on oxidative stress, cellular inflammatory response and cognitive function. Nutrients. 2019. https://doi.org/10.3390/nu11112579 .
doi: 10.3390/nu11112579
pubmed: 31731808
pmcid: 6893462
Napoleão A, Fernandes L, Miranda C, Marum AP. Effects of calorie restriction on health span and insulin resistance: classic calorie restriction diet vs. ketosis-inducing diet. Nutrients. 2021. https://doi.org/10.3390/nu13041302 .
doi: 10.3390/nu13041302
pubmed: 33920973
pmcid: 8071299
Tettamanzi F, Bagnardi V, Louca P, Nogal A, Monti GS, Mambrini SP, Lucchetti E, Maestrini S, Mazza S, Rodriguez-Mateos A, et al. A high protein diet is more effective in improving insulin resistance and glycemic variability compared to a mediterranean diet-a cross-over controlled inpatient dietary study. Nutrients. 2021. https://doi.org/10.3390/nu13124380 .
doi: 10.3390/nu13124380
pubmed: 34959931
pmcid: 8707429
Liu S, Willett WC, Stampfer MJ, Hu FB, Franz M, Sampson L, Hennekens CH, Manson JE. A prospective study of dietary glycemic load, carbohydrate intake, and risk of coronary heart disease in US women. Am J Clin Nutr. 2000;71:1455–61. https://doi.org/10.1093/ajcn/71.6.1455 .
doi: 10.1093/ajcn/71.6.1455
pubmed: 10837285
Anjom-Shoae J, Keshteli AH, Sadeghi O, Pouraram H, Afshar H, Esmaillzadeh A, Adibi P. Association between dietary insulin index and load with obesity in adults. Eur J Nutr. 2020;59:1563–75. https://doi.org/10.1007/s00394-019-02012-6 .
doi: 10.1007/s00394-019-02012-6
pubmed: 31147833
Mirmiran P, Esfandiari S, Bahadoran Z, Tohidi M, Azizi F. Dietary insulin load and insulin index are associated with the risk of insulin resistance: a prospective approach in tehran lipid and glucose study. J Diabetes Metab Disord. 2015;15:23. https://doi.org/10.1186/s40200-016-0247-5 .
doi: 10.1186/s40200-016-0247-5
pubmed: 27446819
Sadeghi O, Hasani H, Mozaffari-Khosravi H, Maleki V, Lotfi MH, Mirzaei M. Dietary insulin index and dietary insulin load in relation to metabolic syndrome: the Shahedieh cohort study. J Acad Nutr Diet. 2020;120:1672-1686.e1674. https://doi.org/10.1016/j.jand.2020.03.008 .
doi: 10.1016/j.jand.2020.03.008
pubmed: 32414656
Moghaddam E, Vogt JA, Wolever TM. The effects of fat and protein on glycemic responses in nondiabetic humans vary with waist circumference, fasting plasma insulin, and dietary fiber intake. J Nutr. 2006;136:2506–11. https://doi.org/10.1093/jn/136.10.2506 .
doi: 10.1093/jn/136.10.2506
pubmed: 16988118
Nuttall FQ, Gannon MC. Plasma glucose and insulin response to macronutrients in nondiabetic and NIDDM subjects. Diabetes Care. 1991;14:824–38. https://doi.org/10.2337/diacare.14.9.824 .
doi: 10.2337/diacare.14.9.824
pubmed: 1959475
Ranganath L, Norris F, Morgan L, Wright J, Marks V. The effect of circulating non-esterified fatty acids on the entero-insular axis. Eur J Clin Invest. 1999;29:27–32. https://doi.org/10.1046/j.1365-2362.1999.00426.x .
doi: 10.1046/j.1365-2362.1999.00426.x
pubmed: 10092985
Holt SH, Miller JC, Petocz P. An insulin index of foods: the insulin demand generated by 1000-kJ portions of common foods. Am J Clin Nutr. 1997;66:1264–76. https://doi.org/10.1093/ajcn/66.5.1264 .
doi: 10.1093/ajcn/66.5.1264
pubmed: 9356547
Bao J, de Jong V, Atkinson F, Petocz P, Brand-Miller JC. Food insulin index: physiologic basis for predicting insulin demand evoked by composite meals. Am J Clin Nutr. 2009;90:986–92. https://doi.org/10.3945/ajcn.2009.27720 .
doi: 10.3945/ajcn.2009.27720
pubmed: 19710196
Anjom-Shoae J, Shayanfar M, Mohammad-Shirazi M, Sadeghi O, Sharifi G, Siassi F, Esmaillzadeh A. Dietary insulin index and insulin load in relation to glioma: findings from a case-control study. Nutr Neurosci. 2021;24:354–62. https://doi.org/10.1080/1028415x.2019.1631594 .
doi: 10.1080/1028415x.2019.1631594
pubmed: 31240996
Mozaffari H, Namazi N, Larijani B, Surkan PJ, Azadbakht L. Associations between dietary insulin load with cardiovascular risk factors and inflammatory parameters in elderly men: a cross-sectional study. Br J Nutr. 2019;121:773–81. https://doi.org/10.1017/s0007114518003872 .
doi: 10.1017/s0007114518003872
pubmed: 30670105
Bao Y, Nimptsch K, Wolpin BM, Michaud DS, Brand-Miller JC, Willett WC, Giovannucci E, Fuchs CS. Dietary insulin load, dietary insulin index, and risk of pancreatic cancer. Am J Clin Nutr. 2011;94:862–8. https://doi.org/10.3945/ajcn.110.011205 .
doi: 10.3945/ajcn.110.011205
pubmed: 21775564
pmcid: 3155930
Caferoglu Z, Hatipoglu N, Gokmen Ozel H. Does food insulin index in the context of mixed meals affect postprandial metabolic responses and appetite in obese adolescents with insulin resistance? A randomised cross-over trial. Br J Nutr. 2019;122:942–50. https://doi.org/10.1017/s0007114519001351 .
doi: 10.1017/s0007114519001351
pubmed: 31182181
Bastiani M, Parton RG. Caveolae at a glance. J Cell Sci. 2010;123:3831–6. https://doi.org/10.1242/jcs.070102 .
doi: 10.1242/jcs.070102
pubmed: 21048159
Thorn H, Stenkula KG, Karlsson M, Ortegren U, Nystrom FH, Gustavsson J, Stralfors P. Cell surface orifices of caveolae and localization of caveolin to the necks of caveolae in adipocytes. Mol Biol Cell. 2003;14:3967–76. https://doi.org/10.1091/mbc.e03-01-0050 .
doi: 10.1091/mbc.e03-01-0050
pubmed: 14517311
pmcid: 206992
Shvets E, Ludwig A, Nichols BJ. News from the caves: update on the structure and function of caveolae. Curr Opin Cell Biol. 2014;29:99–106. https://doi.org/10.1016/j.ceb.2014.04.011 .
doi: 10.1016/j.ceb.2014.04.011
pubmed: 24908346
Parton RG, Simons K. The multiple faces of caveolae. Nat Rev Mol Cell Biol. 2007;8:185–94. https://doi.org/10.1038/nrm2122 .
doi: 10.1038/nrm2122
pubmed: 17318224
Catalán V, Gómez-Ambrosi J, Rodríguez A, Silva C, Rotellar F, Gil MJ, Cienfuegos JA, Salvador J, Frühbeck G. Expression of caveolin-1 in human adipose tissue is upregulated in obesity and obesity-associated type 2 diabetes mellitus and related to inflammation. Clin Endocrinol. 2008;68:213–9. https://doi.org/10.1111/j.1365-2265.2007.03021.x .
doi: 10.1111/j.1365-2265.2007.03021.x
Abaj F, Saeedy SAG, Mirzaei K. Are caveolin-1 minor alleles more likely to be risk alleles in insulin resistance mechanisms in metabolic diseases? BMC Res Notes. 2021;14:185. https://doi.org/10.1186/s13104-021-05597-6 .
doi: 10.1186/s13104-021-05597-6
pubmed: 34001235
pmcid: 8130340
Abaj F, Saeedy SAG, Mirzaei K. Mediation role of body fat distribution (FD) on the relationship between CAV1 rs3807992 polymorphism and metabolic syndrome in overweight and obese women. BMC Med Genomics. 2021;14:202. https://doi.org/10.1186/s12920-021-01050-6 .
doi: 10.1186/s12920-021-01050-6
pubmed: 34384444
pmcid: 8359537
Méndez-Giménez L, Rodríguez A, Balaguer I, Frühbeck G. Role of aquaglyceroporins and caveolins in energy and metabolic homeostasis. Mol Cell Endocrinol. 2014;397:78–92. https://doi.org/10.1016/j.mce.2014.06.017 .
doi: 10.1016/j.mce.2014.06.017
pubmed: 25008241
Gómez-Ruiz A, de Miguel C, Campión J, Martínez JA, Milagro FI. Time-dependent regulation of muscle caveolin activation and insulin signalling in response to high-fat diet. FEBS Lett. 2009;583:3259–64. https://doi.org/10.1016/j.febslet.2009.09.016 .
doi: 10.1016/j.febslet.2009.09.016
pubmed: 19751730
Tan Z, Zhou LJ, Mu PW, Liu SP, Chen SJ, Fu XD, Wang TH. Caveolin-3 is involved in the protection of resveratrol against high-fat-diet-induced insulin resistance by promoting GLUT4 translocation to the plasma membrane in skeletal muscle of ovariectomized rats. J Nutr Biochem. 2012;23:1716–24. https://doi.org/10.1016/j.jnutbio.2011.12.003 .
doi: 10.1016/j.jnutbio.2011.12.003
pubmed: 22569348
Lillo Urzúa P, Núñez Murillo O, Castro-Sepúlveda M, Torres-Quintana MA, Lladser Caldera Á, Quest AF, Espinoza Robles C, Llanos Vidal P, Wehinger S. Loss of caveolin-1 is associated with a decrease in beta cell death in mice on a high fat diet. Int J Mol Sci. 2020. https://doi.org/10.3390/ijms21155225 .
doi: 10.3390/ijms21155225
pubmed: 32718046
pmcid: 7432291
Razani B, Combs TP, Wang XB, Frank PG, Park DS, Russell RG, Li M, Tang B, Jelicks LA, Scherer PE, et al. Caveolin-1-deficient mice are lean, resistant to diet-induced obesity, and show hypertriglyceridemia with adipocyte abnormalities. J Biol Chem. 2002;277:8635–47. https://doi.org/10.1074/jbc.M110970200 .
doi: 10.1074/jbc.M110970200
pubmed: 11739396
Cohen AW, Razani B, Wang XB, Combs TP, Williams TM, Scherer PE, Lisanti MP. Caveolin-1-deficient mice show insulin resistance and defective insulin receptor protein expression in adipose tissue. Am J Physiol Cell Physiol. 2003;285:C222-235. https://doi.org/10.1152/ajpcell.00006.2003 .
doi: 10.1152/ajpcell.00006.2003
pubmed: 12660144
Madden AM, Smith S. Body composition and morphological assessment of nutritional status in adults: a review of anthropometric variables. J Hum Nutr Diet. 2016;29:7–25. https://doi.org/10.1111/jhn.12278 .
doi: 10.1111/jhn.12278
pubmed: 25420774
Cai G, Shi G, Xue S, Lu W. The atherogenic index of plasma is a strong and independent predictor for coronary artery disease in the Chinese Han population. Medicine. 2017;96: e8058. https://doi.org/10.1097/md.0000000000008058 .
doi: 10.1097/md.0000000000008058
pubmed: 28906400
pmcid: 5604669
Price DD, McGrath PA, Rafii A, Buckingham B. The validation of visual analogue scales as ratio scale measures for chronic and experimental pain. Pain. 1983;17:45–56. https://doi.org/10.1016/0304-3959(83)90126-4 .
doi: 10.1016/0304-3959(83)90126-4
pubmed: 6226917
Mirmiran P, Esfahani FH, Mehrabi Y, Hedayati M, Azizi F. Reliability and relative validity of an FFQ for nutrients in the Tehran lipid and glucose study. Public Health Nutr. 2010;13:654–62. https://doi.org/10.1017/s1368980009991698 .
doi: 10.1017/s1368980009991698
pubmed: 19807937
Ghaffarpour M, Houshiar-Rad A, Kianfar H. The manual for household measures, cooking yields factors and edible portion of foods. Tehran Nashre Olume Keshavarzy. 1999;7:42–58.
Bell K. Clinical application of the food insulin index to diabetes mellitus. 2014.
Abaj F, Mirzaei K. Caveolin-1 genetic polymorphism interacts with PUFA to modulate metabolic syndrome risk. Br J Nutr. 2021. https://doi.org/10.1017/s0007114521002221 .
doi: 10.1017/s0007114521002221
pubmed: 34605382
Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35:1381–95. https://doi.org/10.1249/01.mss.0000078924.61453.fb .
doi: 10.1249/01.mss.0000078924.61453.fb
pubmed: 12900694
Karlsson T, Rask-Andersen M, Pan G, Höglund J, Wadelius C, Ek WE, Johansson Å. Contribution of genetics to visceral adiposity and its relation to cardiovascular and metabolic disease. Nat Med. 2019;25(9):1390–5.
doi: 10.1038/s41591-019-0563-7
pubmed: 31501611
Drewnowski A, Henderson SA, Cockroft JE. Genetic sensitivity to 6-n-propylthiouracil has no influence on dietary patterns, body mass indexes, or plasma lipid profiles of women. J Am Diet Assoc. 2007;107(8):1340–8.
doi: 10.1016/j.jada.2007.05.013
pubmed: 17659901
Bakhtiyari M, Kazemian E, Kabir K, Hadaegh F, Aghajanian S, Mardi P, Ghahfarokhi NT, Ghanbari A, Mansournia MA, Azizi F. Contribution of obesity and cardiometabolic risk factors in developing cardiovascular disease: a population-based cohort study. Sci Rep. 2022;12(1):1544.
doi: 10.1038/s41598-022-05536-w
pubmed: 35091663
pmcid: 8799723
Willett WC, Howe GR, Kushi LH. Adjustment for total energy intake in epidemiologic studies. Am J Clin Nutr. 1997;65(4 Suppl):1220S-1228S.
doi: 10.1093/ajcn/65.4.1220S
pubmed: 9094926
Park SK, Larson JL. The relationship between physical activity and metabolic syndrome in people with chronic obstructive pulmonary disease. J Cardiovasc Nurs. 2014;29(6):499–507.
doi: 10.1097/JCN.0000000000000096
pubmed: 24165700
pmcid: 4032377
Sung KC, Lee MY, Kim YH, Huh JH, Kim JY, Wild SH, Byrne CD. Obesity and incidence of diabetes: effect of absence of metabolic syndrome, insulin resistance, inflammation and fatty liver. Atherosclerosis. 2018;275:50–7. https://doi.org/10.1016/j.atherosclerosis.2018.05.042 .
doi: 10.1016/j.atherosclerosis.2018.05.042
pubmed: 29860108
Bell KJ, Petocz P, Colagiuri S, Brand-Miller JC. Algorithms to improve the prediction of postprandial insulinaemia in response to common foods. Nutrients. 2016;8:210. https://doi.org/10.3390/nu8040210 .
doi: 10.3390/nu8040210
pubmed: 27070641
pmcid: 4848679
Nimptsch K, Brand-Miller JC, Franz M, Sampson L, Willett WC, Giovannucci E. Dietary insulin index and insulin load in relation to biomarkers of glycemic control, plasma lipids, and inflammation markers. Am J Clin Nutr. 2011;94:182–90. https://doi.org/10.3945/ajcn.110.009555 .
doi: 10.3945/ajcn.110.009555
pubmed: 21543531
pmcid: 3127522
Obarzanek E, Velletri PA, Cutler JA. Dietary protein and blood pressure. JAMA. 1996;275:1598–603. https://doi.org/10.1001/jama.1996.03530440078040 .
doi: 10.1001/jama.1996.03530440078040
pubmed: 8622252
He J, Gu D, Wu X, Duan X, Whelton P. Soybean protein supplementation and blood pressure: a randomized, controlled clinical trialop 159. J Hypertens. 2004;22:S169.
doi: 10.1097/00004872-200402001-00722
Burke V, Hodgson JM, Beilin LJ, Giangiulioi N, Rogers P, Puddey IB. Dietary protein and soluble fiber reduce ambulatory blood pressure in treated hypertensives. Hypertension (Dallas, Tex : 1979). 2001;38:821–6. https://doi.org/10.1161/hy1001.092614 .
doi: 10.1161/hy1001.092614
pubmed: 11641293
Appel LJ. The effects of protein intake on blood pressure and cardiovascular disease. Curr Opin Lipidol. 2003;14:55–9. https://doi.org/10.1097/00041433-200302000-00010 .
doi: 10.1097/00041433-200302000-00010
pubmed: 12544662
Xu H, Barnes GT, Yang Q, Tan G, Yang D, Chou CJ, Sole J, Nichols A, Ross JS, Tartaglia LA, et al. Chronic inflammation in fat plays a crucial role in the development of obesity-related insulin resistance. J Clin Investig. 2003;112:1821–30. https://doi.org/10.1172/jci19451 .
doi: 10.1172/jci19451
pubmed: 14679177
pmcid: 296998
Kahn SE, Hull RL, Utzschneider KM. Mechanisms linking obesity to insulin resistance and type 2 diabetes. Nature. 2006;444:840–6. https://doi.org/10.1038/nature05482 .
doi: 10.1038/nature05482
pubmed: 17167471
Tay J, Thompson CH, Luscombe-Marsh ND, Wycherley TP, Noakes M, Buckley JD, Wittert GA, Yancy WS Jr, Brinkworth GD. Effects of an energy-restricted low-carbohydrate, high unsaturated fat/low saturated fat diet versus a high-carbohydrate, low-fat diet in type 2 diabetes: A 2-year randomized clinical trial. Diabetes Obes Metab. 2018;20:858–71. https://doi.org/10.1111/dom.13164 .
doi: 10.1111/dom.13164
pubmed: 29178536
Lovejoy JC, Sainsbury A. Sex differences in obesity and the regulation of energy homeostasis. Obes Rev. 2009;10:154–67. https://doi.org/10.1111/j.1467-789X.2008.00529.x .
doi: 10.1111/j.1467-789X.2008.00529.x
pubmed: 19021872
Clegg DJ, Brown LM, Zigman JM, Kemp CJ, Strader AD, Benoit SC, Woods SC, Mangiaracina M, Geary N. Estradiol-dependent decrease in the orexigenic potency of ghrelin in female rats. Diabetes. 2007;56:1051–8. https://doi.org/10.2337/db06-0015 .
doi: 10.2337/db06-0015
pubmed: 17251274
Derakhshanian H, Javanbakht MH, Zarei M, Djalali E, Djalali M. Vitamin D increases IGF-I and insulin levels in experimental diabetic rats. Growth Horm IGF Res. 2017;36:57–9. https://doi.org/10.1016/j.ghir.2017.09.002 .
doi: 10.1016/j.ghir.2017.09.002
pubmed: 28961553
Orwoll E, Riddle M, Prince M. Effects of vitamin D on insulin and glucagon secretion in non-insulin-dependent diabetes mellitus. Am J Clin Nutr. 1994;59:1083–7. https://doi.org/10.1093/ajcn/59.5.1083 .
doi: 10.1093/ajcn/59.5.1083
pubmed: 8172095
Vatandost S, Jahani M, Afshari A, Amiri MR, Heidarimoghadam R, Mohammadi Y. Prevalence of vitamin D deficiency in Iran: a systematic review and meta-analysis. Nutr Health. 2018;24:269–78. https://doi.org/10.1177/0260106018802968 .
doi: 10.1177/0260106018802968
pubmed: 30296903
Abaj F, Koohdani F, Rafiee M, Alvandi E, Yekaninejad MS, Mirzaei K. Interactions between Caveolin-1 (rs3807992) polymorphism and major dietary patterns on cardio-metabolic risk factors among obese and overweight women. BMC Endocr Disord. 2021;21:138. https://doi.org/10.1186/s12902-021-00800-y .
doi: 10.1186/s12902-021-00800-y
pubmed: 34210318
pmcid: 8247154
Mora-García G, Gómez-Camargo D, Alario Á, Gómez-Alegría C. A common variation in the caveolin 1 gene is associated with high serum triglycerides and metabolic syndrome in an admixed Latin American population. Metab Syndr Relat Disord. 2018;16:453–63. https://doi.org/10.1089/met.2018.0004 .
doi: 10.1089/met.2018.0004
pubmed: 29762069
pmcid: 6211369
Chen S, Wang X, Wang J, Zhao Y, Wang D, Tan C, Fa J, Zhang R, Wang F, Xu C, et al. Genomic variant in CAV1 increases susceptibility to coronary artery disease and myocardial infarction. Atherosclerosis. 2016;246:148–56. https://doi.org/10.1016/j.atherosclerosis.2016.01.008 .
doi: 10.1016/j.atherosclerosis.2016.01.008
pubmed: 26775120
pmcid: 4764411
Baudrand R, Gupta N, Garza AE, Vaidya A, Leopold JA, Hopkins PN, Jeunemaitre X, Ferri C, Romero JR, Williams J, et al. Caveolin 1 modulates aldosterone-mediated pathways of glucose and lipid homeostasis. J Am Heart Assoc. 2016. https://doi.org/10.1161/jaha.116.003845 .
doi: 10.1161/jaha.116.003845
pubmed: 27680666
pmcid: 5121487
Ramírez CM, Zhang X, Bandyopadhyay C, Rotllan N, Sugiyama MG, Aryal B, Liu X, He S, Kraehling JR, Ulrich V, et al. Caveolin-1 regulates atherogenesis by attenuating low-density lipoprotein transcytosis and vascular inflammation independently of endothelial nitric oxide synthase activation. Circulation. 2019;140:225–39. https://doi.org/10.1161/circulationaha.118.038571 .
doi: 10.1161/circulationaha.118.038571
pubmed: 31154825
pmcid: 6778687
Pol A, Martin S, Fernandez MA, Ferguson C, Carozzi A, Luetterforst R, Enrich C, Parton RG. Dynamic and regulated association of caveolin with lipid bodies: modulation of lipid body motility and function by a dominant negative mutant. Mol Biol Cell. 2004;15:99–110. https://doi.org/10.1091/mbc.e03-06-0368 .
doi: 10.1091/mbc.e03-06-0368
pubmed: 14528016
pmcid: 307531
Majkova Z, Toborek M, Hennig B. The role of caveolae in endothelial cell dysfunction with a focus on nutrition and environmental toxicants. J Cell Mol Med. 2010;14:2359–70. https://doi.org/10.1111/j.1582-4934.2010.01064.x .
doi: 10.1111/j.1582-4934.2010.01064.x
pubmed: 20406324
pmcid: 2965309
Haddad D, Al Madhoun A, Nizam R, Al-Mulla F. Role of caveolin-1 in diabetes and its complications. Oxid Med Cell Longev. 2020;2020:9761539. https://doi.org/10.1155/2020/9761539 .
doi: 10.1155/2020/9761539
pubmed: 32082483
pmcid: 7007939
Matveev S, Uittenbogaard A, van Der Westhuyzen D, Smart EJ. Caveolin-1 negatively regulates SR-BI mediated selective uptake of high-density lipoprotein-derived cholesteryl ester. Eur J Biochem. 2001;268:5609–16. https://doi.org/10.1046/j.1432-1033.2001.02496.x .
doi: 10.1046/j.1432-1033.2001.02496.x
pubmed: 11683884
Oberleithner H, Kusche-Vihrog K, Schillers H. Endothelial cells as vascular salt sensors. Kidney Int. 2010;77:490–4. https://doi.org/10.1038/ki.2009.490 .
doi: 10.1038/ki.2009.490
pubmed: 20054292
Pojoga LH, Yao TM, Opsasnick LA, Garza AE, Reslan OM, Adler GK, Williams GH, Khalil RA. Dissociation of hyperglycemia from altered vascular contraction and relaxation mechanisms in caveolin-1 null mice. J Pharmacol Exp Ther. 2014;348:260–70. https://doi.org/10.1124/jpet.113.209189 .
doi: 10.1124/jpet.113.209189
pubmed: 24281385
pmcid: 3912545
Frank PG, Lee H, Park DS, Tandon NN, Scherer PE, Lisanti MP. Genetic ablation of caveolin-1 confers protection against atherosclerosis. Arterioscler Thromb Vasc Biol. 2004;24:98–105. https://doi.org/10.1161/01.atv.0000101182.89118.e5 .
doi: 10.1161/01.atv.0000101182.89118.e5
pubmed: 14563650
Nevins AK, Thurmond DC. Caveolin-1 functions as a novel Cdc42 guanine nucleotide dissociation inhibitor in pancreatic beta-cells. J Biol Chem. 2006;281:18961–72. https://doi.org/10.1074/jbc.M603604200 .
doi: 10.1074/jbc.M603604200
pubmed: 16714282
Gustavsson J, Parpal S, Karlsson M, Ramsing C, Thorn H, Borg M, Lindroth M, Peterson KH, Magnusson KE, Strâlfors P. Localization of the insulin receptor in caveolae of adipocyte plasma membrane. FASEB J. 1999;13:1961–71.
doi: 10.1096/fasebj.13.14.1961
pubmed: 10544179
Cohen AW, Combs TP, Scherer PE, Lisanti MP. Role of caveolin and caveolae in insulin signaling and diabetes. Am J Physiol Endocrinol Metab. 2003;285:E1151-1160. https://doi.org/10.1152/ajpendo.00324.2003 .
doi: 10.1152/ajpendo.00324.2003
pubmed: 14607781
Kim CA, Delépine M, Boutet E, El Mourabit H, Le Lay S, Meier M, Nemani M, Bridel E, Leite CC, Bertola DR, et al. Association of a homozygous nonsense caveolin-1 mutation with Berardinelli-Seip congenital lipodystrophy. J Clin Endocrinol Metab. 2008;93:1129–34. https://doi.org/10.1210/jc.2007-1328 .
doi: 10.1210/jc.2007-1328
pubmed: 18211975
Pojoga LH, Underwood PC, Goodarzi MO, Williams JS, Adler GK, Jeunemaitre X, Hopkins PN, Raby BA, Lasky-Su J, Sun B, et al. Variants of the caveolin-1 gene: a translational investigation linking insulin resistance and hypertension. J Clin Endocrinol Metab. 2011;96:E1288-1292. https://doi.org/10.1210/jc.2010-2738 .
doi: 10.1210/jc.2010-2738
pubmed: 21613355
pmcid: 3146791
Xiang AH, Azen SP, Raffel LJ, Tan S, Cheng LS, Diaz J, Toscano E, Henderson PC, Hodis HN, Hsueh WA, et al. Evidence for joint genetic control of insulin sensitivity and systolic blood pressure in hispanic families with a hypertensive proband. Circulation. 2001;103:78–83. https://doi.org/10.1161/01.cir.103.1.78 .
doi: 10.1161/01.cir.103.1.78
pubmed: 11136689
Hunt SC, Ellison RC, Atwood LD, Pankow JS, Province MA, Leppert MF. Genome scans for blood pressure and hypertension: the National Heart, Lung, and Blood Institute Family Heart Study. Hypertension. 2002;40:1–6. https://doi.org/10.1161/01.hyp.0000022660.28915.b1 .
doi: 10.1161/01.hyp.0000022660.28915.b1
pubmed: 12105129
Williams TM, Lisanti MP. The Caveolin genes: from cell biology to medicine. Ann Med. 2004;36:584–95. https://doi.org/10.1080/078538904100 .
doi: 10.1080/078538904100
pubmed: 15768830