Circulating Sphingolipids, Insulin, HOMA-IR, and HOMA-B: The Strong Heart Family Study

Rozenn N Lemaitre, Chaoyu Yu, Andrew Hoofnagle, Nair Hari, Paul N Jensen, Amanda M Fretts, Jason G Umans, Barbara V Howard, Colleen M Sitlani, David S Siscovick, Irena B King, Nona Sotoodehnia, Barbara McKnight, Rozenn N Lemaitre, Chaoyu Yu, Andrew Hoofnagle, Nair Hari, Paul N Jensen, Amanda M Fretts, Jason G Umans, Barbara V Howard, Colleen M Sitlani, David S Siscovick, Irena B King, Nona Sotoodehnia, Barbara McKnight

Abstract

Experimental studies suggest ceramides may play a role in insulin resistance. However, the relationships of circulating ceramides and related sphingolipids with plasma insulin have been underexplored in humans. We measured 15 ceramide and sphingomyelin species in fasting baseline samples from the Strong Heart Family Study (SHFS), a prospective cohort of American Indians. We examined sphingolipid associations with both baseline and follow-up measures of plasma insulin, HOMA of insulin resistance (HOMA-IR), and HOMA of β-cell function (HOMA-B) after adjustment for risk factors. Among the 2,086 participants without diabetes, higher levels of plasma ceramides carrying the fatty acids 16:0 (16 carbons, 0 double bond), 18:0, 20:0, or 22:0 were associated with higher plasma insulin and higher HOMA-IR at baseline and at follow-up an average of 5.4 years later. For example, a twofold higher baseline concentration of ceramide 16:0 was associated with 14% higher baseline insulin (P < 0.0001). Associations between sphingomyelin species carrying 18:0, 20:0, 22:0, or 24:0 and insulin were modified by BMI (P < 0.003): higher levels were associated with lower fasting insulin, HOMA-IR, and HOMA-B among those with normal BMI. Our study suggests lowering circulating ceramides might be a target in prediabetes and targeting circulating sphingomyelins should take into account BMI.

Trial registration: ClinicalTrials.gov NCT00005134.

© 2018 by the American Diabetes Association.

Figures

Figure 1
Figure 1
Synthesis of ceramide and other measured sphingolipids. Shown are simplified pathways leading to ceramide, sphingomyelin, glucosyl ceramide, and lactosyl ceramide, the four sphingolipids measured in the study. In the de novo synthesis pathway and the salvage pathway, ceramide is formed by acylation of a fatty acid (FA) to a “sphingoid” backbone, dihydrosphinganine and sphingosine, respectively. There are six ceramide synthases in humans with different fatty acid specificities, resulting in multiple ceramide species carrying different fatty acids. Synthesis of ceramide by the two pathways occurs in the endoplasmic reticulum. Ceramide can also be formed by sphingomyelinases on the plasma membrane. Sphingomyelin is synthesized by sphingomyelin synthase by addition of a choline head group to ceramide transported to the Golgi. Glucosyl ceramide is synthesized by addition of a glucose head group to ceramide, and lactosyl ceramide by further addition of galactose to glucosyl ceramide, also in the Golgi.
Figure 2
Figure 2
Association of plasma ceramides with plasma fasting insulin and change in plasma fasting insulin. Shown is the ratio of insulin geometric means associated with twofold higher ceramide. Within each ceramide, top estimate represents the association with insulin at baseline, middle estimate the association with insulin at follow-up, and bottom estimate the association with change in insulin between baseline and follow-up.
Figure 3
Figure 3
Geometric mean ratio of insulin levels associated with twofold difference in sphingomyelin species as a function of BMI (kg/m2). Each plot shows the ratio of baseline insulin geometric means associated with twofold higher sphingomyelin species as a function of BMI (solid line) and 95% CI (shaded area). A geometric mean ratio of 1.0 indicates no association. Values less than 1 indicate an association with lower insulin, and values above 1 indicate an association with higher insulin. The density plot shows the distribution of BMI values in the cohort.

References

    1. Danaei G, Finucane MM, Lu Y, et al. .; Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group (Blood Glucose) . National, regional, and global trends in fasting plasma glucose and diabetes prevalence since 1980: systematic analysis of health examination surveys and epidemiological studies with 370 country-years and 2.7 million participants. Lancet 2011;378:31–40
    1. Kirtland KA, Cho P, Geiss LS. Diabetes among Asians and native Hawaiians or other Pacific Islanders—United States, 2011-2014. MMWR Morb Mortal Wkly Rep 2015;64:1261–1266
    1. Geiss LS, Wang J, Cheng YJ, et al. . Prevalence and incidence trends for diagnosed diabetes among adults aged 20 to 79 years, United States, 1980-2012. JAMA 2014;312:1218–1226
    1. Pories WJ, Dohm GL. Diabetes: have we got it all wrong? Hyperinsulinism as the culprit: surgery provides the evidence. Diabetes Care 2012;35:2438–2442
    1. Corkey BE. Diabetes: have we got it all wrong? Insulin hypersecretion and food additives: cause of obesity and diabetes? Diabetes Care 2012;35:2432–2437
    1. Weyer C, Hanson RL, Tataranni PA, Bogardus C, Pratley RE. A high fasting plasma insulin concentration predicts type 2 diabetes independent of insulin resistance: evidence for a pathogenic role of relative hyperinsulinemia. Diabetes 2000;49:2094–2101
    1. Franks PW, McCarthy MI. Exposing the exposures responsible for type 2 diabetes and obesity. Science 2016;354:69–73
    1. Chavez JA, Summers SA. A ceramide-centric view of insulin resistance. Cell Metab 2012;15:585–594
    1. Meikle PJ, Summers SA. Sphingolipids and phospholipids in insulin resistance and related metabolic disorders. Nat Rev Endocrinol 2017;13:79–91
    1. Grösch S, Schiffmann S, Geisslinger G. Chain length-specific properties of ceramides. Prog Lipid Res 2012;51:50–62
    1. Lemaitre RN, Fretts AM, Sitlani CM, et al. . Plasma phospholipid very-long-chain saturated fatty acids and incident diabetes in older adults: the Cardiovascular Health Study. Am J Clin Nutr 2015;101:1047–1054
    1. Lee ET, Welty TK, Fabsitz R, et al. . The Strong Heart Study. A study of cardiovascular disease in American Indians: design and methods. Am J Epidemiol 1990;132:1141–1155
    1. North KE, Howard BV, Welty TK, et al. . Genetic and environmental contributions to cardiovascular disease risk in American Indians: the Strong Heart Family Study. Am J Epidemiol 2003;157:303–314
    1. MacLean B, Tomazela DM, Shulman N, et al. . Skyline: an open source document editor for creating and analyzing targeted proteomics experiments. Bioinformatics 2010;26:966–968
    1. Harrison L, Dunn DT, Green H, Copas AJ. Modelling the association between patient characteristics and the change over time in a disease measure using observational cohort data. Stat Med 2009;28:3260–3275
    1. Yanez ND 3rd, Kronmal RA, Shemanski LR, Psaty BM; Cardiovascular Health Study . A regression model for longitudinal change in the presence of measurement error. Ann Epidemiol 2002;12:34–38
    1. Van Buuren S, Groothuis-Oudshoorn K. MICE: multivariate imputation by chained equations in R. J Stat Softw 2011;45:3
    1. Schafer JL. Multiple imputation: a primer. Stat Methods Med Res 1999;8:3–15
    1. Holland WL, Brozinick JT, Wang LP, et al. . Inhibition of ceramide synthesis ameliorates glucocorticoid-, saturated-fat-, and obesity-induced insulin resistance. Cell Metab 2007;5:167–179
    1. Ussher JR, Koves TR, Cadete VJ, et al. . Inhibition of de novo ceramide synthesis reverses diet-induced insulin resistance and enhances whole-body oxygen consumption. Diabetes 2010;59:2453–2464
    1. Boon J, Hoy AJ, Stark R, et al. . Ceramides contained in LDL are elevated in type 2 diabetes and promote inflammation and skeletal muscle insulin resistance. Diabetes 2013;62:401–410
    1. Brozinick JT, Hawkins E, Hoang Bui H, et al. . Plasma sphingolipids are biomarkers of metabolic syndrome in non-human primates maintained on a Western-style diet. Int J Obes 2013;37:1064–1070
    1. Petersen MC, Jurczak MJ. CrossTalk opposing view: intramyocellular ceramide accumulation does not modulate insulin resistance. J Physiol 2016;594:3171–3174
    1. Summers SA, Goodpaster BH. CrossTalk proposal: intramyocellular ceramide accumulation does modulate insulin resistance. J Physiol 2016;594:3167–3170
    1. Bergman BC, Brozinick JT, Strauss A, et al. . Serum sphingolipids: relationships to insulin sensitivity and changes with exercise in humans. Am J Physiol Endocrinol Metab 2015;309:E398–E408
    1. Haus JM, Kashyap SR, Kasumov T, et al. . Plasma ceramides are elevated in obese subjects with type 2 diabetes and correlate with the severity of insulin resistance. Diabetes 2009;58:337–343
    1. Wigger L, Cruciani-Guglielmacci C, Nicolas A, et al. . Plasma dihydroceramides are diabetes susceptibility biomarker candidates in mice and humans. Cell Reports 2017;18:2269–2279
    1. Havulinna AS, Sysi-Aho M, Hilvo M, et al. . Circulating ceramides predict cardiovascular outcomes in the population-based FINRISK 2002 cohort. Arterioscler Thromb Vasc Biol 2016;36:2424–2430
    1. Schmitz-Peiffer C, Craig DL, Biden TJ. Ceramide generation is sufficient to account for the inhibition of the insulin-stimulated PKB pathway in C2C12 skeletal muscle cells pretreated with palmitate. J Biol Chem 1999;274:24202–24210
    1. Forouhi NG, Koulman A, Sharp SJ, et al. . Differences in the prospective association between individual plasma phospholipid saturated fatty acids and incident type 2 diabetes: the EPIC-InterAct case-cohort study. Lancet Diabetes Endocrinol 2014;2:810–818
    1. Zong G, Zhu J, Sun L, et al. . Associations of erythrocyte fatty acids in the de novo lipogenesis pathway with risk of metabolic syndrome in a cohort study of middle-aged and older Chinese. Am J Clin Nutr 2013;98:319–326
    1. Wang L, Folsom AR, Zheng ZJ, Pankow JS, Eckfeldt JH; ARIC Study Investigators . Plasma fatty acid composition and incidence of diabetes in middle-aged adults: the Atherosclerosis Risk in Communities (ARIC) Study. Am J Clin Nutr 2003;78:91–98
    1. Ma W, Wu JH, Wang Q, et al. . Prospective association of fatty acids in the de novo lipogenesis pathway with risk of type 2 diabetes: the Cardiovascular Health Study. Am J Clin Nutr 2015;101:153–163
    1. Boslem E, Weir JM, MacIntosh G, et al. . Alteration of endoplasmic reticulum lipid rafts contributes to lipotoxicity in pancreatic β-cells. J Biol Chem 2013;288:26569–26582
    1. Park M, Kaddai V, Ching J, et al. . A role for ceramides, but not sphingomyelins, as antagonists of insulin signaling and mitochondrial metabolism in C2C12 myotubes. J Biol Chem 2016;291:23978–23988
    1. Li Z, Zhang H, Liu J, et al. . Reducing plasma membrane sphingomyelin increases insulin sensitivity. Mol Cell Biol 2011;31:4205–4218
    1. Mitsutake S, Zama K, Yokota H, et al. . Dynamic modification of sphingomyelin in lipid microdomains controls development of obesity, fatty liver, and type 2 diabetes. J Biol Chem 2011;286:28544–28555
    1. Rauschert S, Uhl O, Koletzko B, et al. . Lipidomics reveals associations of phospholipids with obesity and insulin resistance in young adults. J Clin Endocrinol Metab 2016;101:871–879
    1. Xu F, Tavintharan S, Sum CF, Woon K, Lim SC, Ong CN. Metabolic signature shift in type 2 diabetes mellitus revealed by mass spectrometry-based metabolomics. J Clin Endocrinol Metab 2013;98:E1060–E1065
    1. Hanamatsu H, Ohnishi S, Sakai S, et al. . Altered levels of serum sphingomyelin and ceramide containing distinct acyl chains in young obese adults. Nutr Diabetes 2014;4:e141.
    1. Tulipani S, Palau-Rodriguez M, Miñarro Alonso A, et al. . Biomarkers of morbid obesity and prediabetes by metabolomic profiling of human discordant phenotypes. Clin Chim Acta 2016;463:53–61
    1. Hannun YA, Obeid LM. Many ceramides. J Biol Chem 2011;286:27855–27862
    1. Jennemann R, Gröne HJ. Cell-specific in vivo functions of glycosphingolipids: lessons from genetic deletions of enzymes involved in glycosphingolipid synthesis. Prog Lipid Res 2013;52:231–248
    1. Aerts JM, Ottenhoff R, Powlson AS, et al. . Pharmacological inhibition of glucosylceramide synthase enhances insulin sensitivity. Diabetes 2007;56:1341–1349
    1. Chavez JA, Siddique MM, Wang ST, Ching J, Shayman JA, Summers SA. Ceramides and glucosylceramides are independent antagonists of insulin signaling. J Biol Chem 2014;289:723–734
    1. Hurtado-Roca Y, Bueno H, Fernandez-Ortiz A, et al. . Oxidized LDL is associated with metabolic syndrome traits independently of central obesity and insulin resistance. Diabetes 2017;66:474–482
    1. Neergaard JS, Dragsbæk K, Christiansen C, et al. . Metabolic syndrome, insulin resistance, and cognitive dysfunction: does your metabolic profile affect your brain? Diabetes 2017;66:1957–1963
    1. Abbasi F, Okeke Q, Reaven GM. Evaluation of fasting plasma insulin concentration as an estimate of insulin action in nondiabetic individuals: comparison with the homeostasis model assessment of insulin resistance (HOMA-IR). Acta Diabetol 2014;51:193–197
    1. Ader M, Stefanovski D, Richey JM, et al. . Failure of homeostatic model assessment of insulin resistance to detect marked diet-induced insulin resistance in dogs. Diabetes 2014;63:1914–1919
    1. Reaven GM. What do we learn from measurements of HOMA-IR? Diabetologia 2013;56:1867–1868

Source: PubMed

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