The relationship between leptin-to-adiponectin ratio and HOMA-IR and metabolic syndrome in five African-origin populations.
Journal
International journal of obesity (2005)
ISSN: 1476-5497
Titre abrégé: Int J Obes (Lond)
Pays: England
ID NLM: 101256108
Informations de publication
Date de publication:
17 Oct 2024
17 Oct 2024
Historique:
received:
25
07
2023
accepted:
10
10
2024
revised:
29
07
2024
medline:
18
10
2024
pubmed:
18
10
2024
entrez:
17
10
2024
Statut:
aheadofprint
Résumé
This cross-sectional study aims to assess the associations between serum leptin, adiponectin, leptin-to-adiponectin ratio (L/A ratio), and metabolic syndrome (MS) and HOMA-IR in five African-origin populations: Ghana, South Africa, Jamaica, Seychelles, and US. Clinical measures included serum glucose, insulin, adipokines, blood pressure and anthropometric measures. MS was determined using the Harmonized criteria. The final sample included 2087 adults. After adjusting for age, sex, and fat mass, L/A ratio, unlike HOMA-IR, was significantly associated with MS across all sites (p < 0.001). Within sites, L/A ratio was only associated with MS and HOMA-IR in the US (p < 0.001) and South Africa (p < 0.01), respectively. Leptin was associated with MS in South Africa only (p < 0.05) but was significantly associated with HOMA-IR across all five sites and within the US (p < 0.05). Similarly, adiponectin was associated with HOMA-IR in South Africa (p < 0.05) and with MS across all five sites (p < 0.001) and within each site separately, except Ghana. Our study suggests that individuals of the African diaspora in different geographical locations may differ in the determinants of MS. Future studies should investigate the determinants for the disparate relationships between MS, IS and adipokines across different African-origin populations.
Identifiants
pubmed: 39420085
doi: 10.1038/s41366-024-01655-8
pii: 10.1038/s41366-024-01655-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s).
Références
Xu H, Li X, Adams H, Kubena K, Guo S. Etiology of metabolic syndrome and dietary intervention. Int J Mol Sci. 2019;20. https://doi.org/10.3390/ijms20010128 .
Lidofsky SD. Nonalcoholic fatty liver disease: diagnosis and relation to metabolic syndrome and approach to treatment. Curr Diab Rep. 2008;8:25–30. https://doi.org/10.1007/s11892-008-0006-1
doi: 10.1007/s11892-008-0006-1
pubmed: 18366995
Esposito K, Chiodini P, Colao A, Lenzi A, Giugliano D. Metabolic syndrome and risk of cancer: a systematic review and meta-analysis. Diabetes Care. 2012;35:2402–11. https://doi.org/10.2337/dc12-0336
doi: 10.2337/dc12-0336
pubmed: 23093685
pmcid: 3476894
Alberti KGMM, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation. Int Circulation 2009;120:1640–5. https://doi.org/10.1161/CIRCULATIONAHA.109.192644
doi: 10.1161/CIRCULATIONAHA.109.192644
Olufadi R, Byrne CD. Clinical and laboratory diagnosis of the metabolic syndrome. J Clin Pathol. 2008;61:697–706. https://doi.org/10.1136/jcp.2007.048363
doi: 10.1136/jcp.2007.048363
pubmed: 18505888
Hernandez-Baixauli J, Quesada-Vázquez S, Mariné-Casadó R, Gil Cardoso K, Caimari A, Del Bas JM, et al. Detection of early disease risk factors associated with metabolic syndrome: a new era with the nmr metabolomics assessment. Nutrients. 2020;12. https://doi.org/10.3390/nu12030806 .
Türkoglu C, Duman BS, Günay D, Cagatay P, Ozcan R, Büyükdevrim AS. Effect of abdominal obesity on insulin resistance and the components of the metabolic syndrome: evidence supporting obesity as the central feature. Obes Surg. 2003;13:699–705. https://doi.org/10.1381/09608920
doi: 10.1381/09608920
pubmed: 14627463
Ion RM, Sibianu M, Hutanu A, Beresescu FG, Sala DT, Flavius M, et al. A Comprehensive Summary of the Current Understanding of the Relationship between Severe Obesity, Metabolic Syndrome, and Inflammatory Status. J Clin Med. 2023;12. https://doi.org/10.3390/jcm12113818 .
Lancha A, Frühbeck G, Gómez-Ambrosi J. Peripheral signalling involved in energy homeostasis control. Nutr Res Rev. 2012;25:223–48. https://doi.org/10.1017/S0954422412000145
doi: 10.1017/S0954422412000145
pubmed: 23174510
Frühbeck G, Catalán V, Rodríguez A, Ramírez B, Becerril S, Salvador J, et al. Involvement of the leptin-adiponectin axis in inflammation and oxidative stress in the metabolic syndrome. Sci Rep. 2017;7:6619 https://doi.org/10.1038/s41598-017-06997-0
doi: 10.1038/s41598-017-06997-0
pubmed: 28747790
pmcid: 5529549
Rossi IA, Bochud M, Bovet P, Paccaud F, Waeber G, Vollenweider P, et al. Sex difference and the role of leptin in the association between high-sensitivity C-reactive protein and adiposity in two different populations. Eur J Epidemiol. 2012;27:379–84. https://doi.org/10.1007/s10654-012-9671-0
doi: 10.1007/s10654-012-9671-0
pubmed: 22392590
Unamuno X, Izaguirre M, Gómez-Ambrosi J, Rodríguez A, Ramírez B, Becerril S, et al. Increase of the adiponectin/leptin ratio in patients with obesity and type 2 diabetes after Roux-en-Y gastric bypass. Nutrients. 2019;11. https://doi.org/10.3390/nu11092069 .
Moreira SMBP, Bachi ALL, Jirjos EI, Malheiros CA, Vencio S, Alves VLS, et al. Roux-en-Y gastric bypass improves adiponectin to leptin ratio and inflammatory profile in severely obese women with and without metabolic syndrome: a randomized controlled trial. Nutrients. 2023;15. https://doi.org/10.3390/nu15153312 .
López-Jaramillo P, Gómez-Arbeláez D, López-López J, López-López C, Martínez-Ortega J, Gómez-Rodríguez A, et al. The role of leptin/adiponectin ratio in metabolic syndrome and diabetes. 2014;18:37-45. https://doi.org/10.1515/hmbci-2013-0053 .
Scheid MP, Sweeney G. The role of adiponectin signaling in metabolic syndrome and cancer. Rev Endocr Metab Disord. 2014;15:157–67. https://doi.org/10.1007/s11154-013-9265-5
doi: 10.1007/s11154-013-9265-5
pubmed: 24019064
Frühbeck G, Catalán V, Rodríguez A, Gómez-Ambrosi J. Adiponectin-leptin ratio: a promising index to estimate adipose tissue dysfunction. Relation with obesity-associated cardiometabolic risk. Adipocyte. 2018;7:57–62. https://doi.org/10.1080/21623945.2017.1402151
doi: 10.1080/21623945.2017.1402151
pubmed: 29205099
Frühbeck G, Catalán V, Rodríguez A, Ramírez B, Becerril S, Salvador J, et al. Adiponectin-leptin ratio is a functional biomarker of adipose tissue inflammation. Nutrients. 2019;11. https://doi.org/10.3390/nu11020454 .
Vega GL, Grundy SM. Metabolic risk susceptibility in men is partially related to adiponectin/leptin ratio. J Obes. 2013;2013:409679 https://doi.org/10.1155/2013/409679
doi: 10.1155/2013/409679
pubmed: 23533722
pmcid: 3606776
Ayina CNA, Endomba FTA, Mandengue SH, Noubiap JJN, Ngoa LSE, Boudou P, et al. Association of the leptin-to-adiponectin ratio with metabolic syndrome in a sub-Saharan African population. Diabetol Metab Syndr. 2017;9:66 https://doi.org/10.1186/s13098-017-0265-6
doi: 10.1186/s13098-017-0265-6
pubmed: 28878827
pmcid: 5584041
Dalal S, Beunza JJ, Volmink J, Adebamowo C, Bajunirwe F, Njelekela M, et al. Non-communicable diseases in sub-Saharan Africa: what we know now. Int J Epidemiol. 2011;40:885–901. https://doi.org/10.1093/ije/dyr050
doi: 10.1093/ije/dyr050
pubmed: 21527446
Okafor CI. The metabolic syndrome in Africa: current trends. Indian J Endocrinol Metab. 2012;16:56–66. https://doi.org/10.4103/2230-8210.91191
doi: 10.4103/2230-8210.91191
pubmed: 22276253
pmcid: 3263198
Jaspers Faijer-Westerink H, Kengne AP, Meeks KAC, Agyemang C. Prevalence of metabolic syndrome in sub-Saharan Africa: a systematic review and meta-analysis. Nutr Metab Cardiovascular Dis. 2020;30:547–65. https://doi.org/10.1016/j.numecd.2019.12.012
doi: 10.1016/j.numecd.2019.12.012
Scuteri A, Laurent S, Cucca F, Cockcroft J, Cunha PG, Mañas LR, et al. Metabolic syndrome across Europe: different clusters of risk factors. Eur J Prev Cardiol. 2015;22:486–91. https://doi.org/10.1177/2047487314525529
doi: 10.1177/2047487314525529
pubmed: 24647805
Schuster DP, Gaillard T, Osei K. The cardiometabolic syndrome in persons of the African diaspora: challenges and opportunities. J Cardiometab Syndr. 2007;2:260–6. https://doi.org/10.1111/j.1559-4564.2007.07484.x
doi: 10.1111/j.1559-4564.2007.07484.x
pubmed: 18059209
Bovet P, Faeh D, Gabriel A, Tappy L. The prediction of insulin resistance with serum triglyceride and high-density lipoprotein cholesterol levels in an East African population. Arch Intern Med. 2006;166:1236–7. https://doi.org/10.1001/archinte.166.11.1236-b
doi: 10.1001/archinte.166.11.1236-b
pubmed: 16772257
Bamaiyi AJ, Norton GR, Norman G, Majane OH, Sareli P, Woodiwiss AJ. Limited contribution of insulin resistance and metabolic parameters to obesity-associated increases in ambulatory blood pressure in a black African community. Int J Cardiol Hypertens. 2019;2:100010 https://doi.org/10.1016/j.ijchy
doi: 10.1016/j.ijchy
pubmed: 33447743
pmcid: 7803016
Saad MF, Lillioja S, Nyomba BL, Castillo C, Ferraro R, De Gregorio M, et al. Racial differences in the relation between blood pressure and insulin resistance. N. Engl J Med. 1991;324:733–9. https://doi.org/10.1056/NEJM199103143241105
doi: 10.1056/NEJM199103143241105
pubmed: 1997839
Keil JE, Sutherland SE, Knapp RG, Lackland DT, Gazes PC, Tyroler HA. Mortality rates and risk factors for coronary disease in black as compared with white men and women. N. Engl J Med. 1993;329:73–8. https://doi.org/10.1056/NEJM199307083290201
doi: 10.1056/NEJM199307083290201
pubmed: 8510705
Allister-Price C, Craig CM, Spielman D, Cushman SS, McLaughlin TL. Metabolic markers, regional adiposity, and adipose cell size: relationship to insulin resistance in African-American as compared with Caucasian women. Int J Obes (Lond). 2019;43:1164–73. https://doi.org/10.1038/s41366-018-0191-1
doi: 10.1038/s41366-018-0191-1
pubmed: 30127463
Awede B, Adovoekpe D, Adehan G, MacFarlane NG, Azonbakin S, Dossou E, et al. Adiponectin, in contrast to leptin, is not associated with body mass index, waist circumference and HOMA-IR in subjects of a west-African population. Physiol Rep. 2018;6:e13718 https://doi.org/10.14814/phy2.13718
doi: 10.14814/phy2.13718
pubmed: 29890036
pmcid: 5995307
United Nations Development Programme. Human development report 2010: The real wealth of nations - Pathways to human development. 2010;(20th Anniversary edition).
Luke A, Bovet P, Forrester TE, Lambert EV, Plange-Rhule J, Schoeller DA, et al. Protocol for the modeling the epidemiologic transition study: a longitudinal observational study of energy balance and change in body weight, diabetes and cardiovascular disease risk. BMC Public Health. 2011;11:927 https://doi.org/10.1186/1471-2458-11-927
doi: 10.1186/1471-2458-11-927
pubmed: 22168992
pmcid: 3297543
Luke A, Bovet P, Plange-Rhule J, Forrester TE, Lambert EV, Schoeller DA, et al. A mixed ecologic-cohort comparison of physical activity & weight among young adults from five populations of African origin. BMC Public Health. 2014;14:397 https://doi.org/10.1186/1471-2458-14-397
doi: 10.1186/1471-2458-14-397
pubmed: 24758286
pmcid: 4031970
Dugas LR, Forrester TE, Plange-Rhule J, Bovet P, Lambert EV, Durazo-Arvizu RA, et al. Cardiovascular risk status of Afro-origin populations across the spectrum of economic development: findings from the Modeling the Epidemiologic Transition Study. BMC Public Health. 2017;17:438 https://doi.org/10.1186/s12889-017-4318-4
doi: 10.1186/s12889-017-4318-4
pubmed: 28499375
pmcid: 5429531
Luke A, Bovet P, Forrester TE, Lambert EV, Plange-Rhule J, Dugas LR, et al. Prediction of fat-free mass using bioelectrical impedance analysis in young adults from five populations of African origin. Eur J Clin Nutr. 2013;67:956–60. https://doi.org/10.1038/ejcn.2013.123
doi: 10.1038/ejcn.2013.123
pubmed: 23881006
pmcid: 3766444
Atiase Y, Farni K, Plange-Rhule J, Luke A, Bovet P, Forrester TG, et al. A comparison of indices of glucose metabolism in five black populations: data from modeling the epidemiologic transition study (METS). BMC Public Health. 2015;15:895. https://doi.org/10.1186/s12889-015-2233-0
Cooper RS, Forrester TE, Plange-Rhule J, Bovet P, Lambert EV, Dugas LR, et al. Elevated hypertension risk for African-origin populations in biracial societies: modeling the Epidemiologic Transition Study. J Hypertens. 2015;33:471–3. https://doi.org/10.1097/HJH.0000000000000429
doi: 10.1097/HJH.0000000000000429
Park YW, Zhu S, Palaniappan L, Heshka S, Carnethon MR, Heymsfield SB. The metabolic syndrome: prevalence and associated risk factor findings in the US population from the Third National Health and Nutrition Examination Survey, 1988-1994. Arch Intern Med. 2003;163:427–36. https://doi.org/10.1001/archinte.163.4.427
doi: 10.1001/archinte.163.4.427
pubmed: 12588201
pmcid: 3146257
Ervin RB. Prevalence of metabolic syndrome among adults 20 years of age and over, by sex, age, race and ethnicity, and body mass index: United States, 2003-2006. Natl Health Stat Report. 2009;1-7.
Sumner AE, Cowie CC. Ethnic differences in the ability of triglyceride levels to identify insulin resistance. Atherosclerosis 2008;196:696–703. https://doi.org/10.1016/j.atherosclerosis.2006.12.018
doi: 10.1016/j.atherosclerosis.2006.12.018
pubmed: 17254586
Ferdinand KC. Cardiovascular risk reduction in African Americans: current concepts and controversies. Glob Cardiol Sci Pr. 2016;2016:e201602 https://doi.org/10.21542/gcsp.2016.2
doi: 10.21542/gcsp.2016.2
Yu SSK, Castillo DC, Courville AB, Sumner AE. The triglyceride paradox in people of African descent. Metab Syndr Relat Disord. 2012;10:77–82. https://doi.org/10.1089/met.2011.0108
doi: 10.1089/met.2011.0108
pubmed: 22224930
pmcid: 3311911
Kaduka LU, Kombe Y, Kenya E, Kuria E, Bore JK, Bukania ZN, et al. Prevalence of Metabolic Syndrome Among an Urban Population in Kenya. Diabetes Care. 2012;35:887–93. https://doi.org/10.2337/dc11-0537
doi: 10.2337/dc11-0537
pubmed: 22374643
pmcid: 3308294
Shen J, Goyal A, Sperling L. The emerging epidemic of obesity, diabetes, and the metabolic syndrome in China. Cardiol Res Pr. 2012;2012:1–5
doi: 10.1155/2012/178675
Lao XQ, Ma WJ, Sobko T, Zhang YH, Xu YJ, Xu XJ, et al. Dramatic escalation in metabolic syndrome and cardiovascular risk in a Chinese population experiencing rapid economic development. BMC Public Health. 2014;14:1–7.
doi: 10.1186/1471-2458-14-983
He Y, Wu W, Wu S, Zheng HM, Li P, Sheng HF, et al. Linking gut microbiota, metabolic syndrome and economic status based on a population-level analysis. Microbiome. 2018;6:172 https://doi.org/10.1186/s40168-018-0557-6
doi: 10.1186/s40168-018-0557-6
pubmed: 30249275
pmcid: 6154942
Kelliny C, William J, Riesen W, Paccaud F, Bovet P. Metabolic syndrome according to different definitions in a rapidly developing country of the African region. Cardiovasc Diabetol. 2008;7:1–11. https://doi.org/10.1186/1475-2840-7-27
doi: 10.1186/1475-2840-7-27
Bovet P, Romain S, Shamlaye C, Mendis S, Darioli R, Riesen W, et al. Divergent fifteen-year trends in traditional and cardiometabolic risk factors of cardiovascular diseases in the Seychelles. Cardiovasc Diabetol. 2009;8:34 https://doi.org/10.1186/1475-2840-8-34
doi: 10.1186/1475-2840-8-34
pubmed: 19558646
pmcid: 2719584