HIV/AIDS Research and Treatment

Open journal

ISSN 2377-8377

It’s Time to Examine the Impact of Genetic Susceptibility on the Incidence of Diabetes among HIV-Infected Individuals

Kyle J. Gaulton and Glen N. Gaulton*

Glen N. Gaulton, PhD

Department of Pathology and Laboratory Medicine Center for Global Health University of Pennsylvania Philadelphia, PA 19104, USA; E-mail: gaulton@mail.med.upenn.edu

The remarkable advances in application of anti-retroviral therapy (ART) to treat HIV infection has had a profound impact on the HIV epidemic as well as improved the quality and longevity of life for those who receive such treatment. Nonetheless, as individuals receiving ART live longer, they may develop chronic non-communicable disease at an increased incidence and/or severity when compared to non-infected and/or untreated individuals. Prime examples of this include cardiovascular and neurological disease, as well as metabolic syndrome and diabetes mellitus. Whether these growing disease burdens are identical in origin and outcome to disease in uninfected individuals, and whether ART impacts disease incidence and severity in addition to limiting HIV infection is often poorly distinguished. The data on type 2 diabetes mellitus (T2DM) provides a welcome case in point for this discussion.

There is now a wealth of data documenting the increased incidence of T2DM in HIVinfected subjects under ART. While the range of this increase varies by study population, location, and drug therapy, the most comprehensive studies typically show an increase of 2.25- 4.7 fold in the incidence of T2DM in HIV positive subjects on ART at four years after diagnosis and treatment.1,2 Related studies have more recently tied these effects to an increase in the prevalence of dyslipidemia and metabolic syndrome,3,4 to elevated BMI and hypertension as opposed to the level of HIV or CD4 count,5 and lastly to an increase in the rate of death from the complications of diabetes.6

While the impact of HIV infection on T2DM in the absence of ART remains in debate,7 there is ample evidence that various protease inhibitors used for ART cause insulin resistance independent of increases in visceral adipose tissue or lipid and lipoprotein levels.8 Thus, multiple factors likely bear on the increase in T2DM seen in HIV infected subjects, especially when undergoing ART. Diabetes mellitus is a complex disease, and risk factors such as family history, genetics, obesity, race/ethnicity, age, and dyslipidemia are all poorly understood in HIV-infected individuals. However, remarkable insights into the genetic factors that foster predisposition to T2DM are rapidly emerging.9 These observations illustrate that risk of T2DM is mediated by hundreds of genetic factors, the majority of which commonly occur in the general population.

Although using genetic factors to predict individual risk of T2DM is a challenge, these findings have revealed new genes and processes involved in disease pathogenesis. For example, T2DM variants affect the activity of the melatonin receptor gene that functions in circadian regulation of glucose homeostasis.10 Many T2DM genetic factors—such as TCF7L2—cause defects in insulin secretion and alter pancreatic islet function, other factors—such as PPARG and FTO—contribute to insulin resistance,11 and additional factors influence BMI and dyslipidemia.12 Collectively these genes have profoundly informed the underlying causes of T2DM.

One key insight from these studies is that genetic factors for T2DM do not typically alter the protein product of a gene, and instead predominantly lie in non-coding sequences.9,10 Detailed maps of the epigenome in disease-relevant tissues such as pancreatic islets, adipose, skeletal muscle and liver have helped uncover precise genetic elements affected by T2DM risk variants.9 These data suggest that much of the genetic risk of T2DM is encoded in regulatory elements activated in these tissues that affect tissue-specific gene expression. These genetic elements are thus critical to target in at-risk individuals.

Whether HIV infected subjects display an enhanced disposition and/or altered pattern of origin in T2DM that is linked to these genetic components has not been studied. This warrants immediate investigation as the populations and samples are well defined, and the tools now in place to accomplish this goal in a cost-effective manner. As the relative effect of HIV infection and/or ART on the incidence of T2DM is not absolute, studies of genetic associations and gene expression in these populations might provide clues to help decipher the relative effects of various genetic elements in predisposition to T2DM. Under the best circumstances these results might also provide a means to enhanced monitoring of certain individuals with a predisposition to develop diabetes— the ultimate goal being better preparedness and improved management of long-term health in these patients.

CONFLICTS OF INTEREST

The authors declare that they have no conflicts of interest related to this manuscript.

1. Brown TT, Cole SR, Li X, et al. Antiretroviral therapy and the prevalenceand incidence of diabetes mellitus in the Multicenter AIDS Cohort Study. Arch Intern Med. 2005; 165(10): 1179-1184. doi: 10.1001/archinte.165.10.1179

2. Capeau J, Bouteloup V, Katlama C, et al. Ten-year diabetes incidence in 1046 HIV-infected patients started on a combination antiretroviral treatment. AIDS. 2012; 26: 303-314. doi: 10.1097/QAD.0b013e32834e8776

3. Jin C, Ji S, Xie t, et al. Severe dyslipidemia and immune activation in HIV patients with dysglycemia. HIV Clin Trials. 2016; 13: 1-8. doi: 10.1080/15284336.2016.1207297

4. Sobieszczyk ME, Werner L, Mlisana K, et al. Metabolic syndrome after HIV acquisition in South African women. J Acquir Immune Defic Syndr. 2016. doi: 10.1097/QAI.0000000000001123

5. Dimala CA, Atashili J, Mbuagbaw JC, Wilfred A, Monekosso GL. A comparison of the diabetes risk score in HIV/AIDS patients on highly active antiretroviral therapy (HAART) and HAART-naïve patients at the Limbe regional hospital, Cameroon. PLoS One. 2016; 11(5): e0155560. doi: 10.1371/journal.pone.0155560

6. Moreira RC, Pacheco AG, Paula A, et al. Diabetes mellitus is associated with increased death rates among HIV-infected patients in Rio de Janeiro, Brazil. AIDS Res Hum Retroviruses. 2016. doi: 10.1089/aid.2015.0265

7. Brar I, Shuter J, Thomas A, et al. A comparison of factors associated with prevalent diabetes mellitus among HIV-infected antiretroviral-naive individuals versus individuals in the national health and nutritional examination survey cohort. J Acquir Immune Defic Syndr. 2007; 45(1): 66-71. doi: 10.1097/QAI.0b013e318031d7e3

8. Noor MA, Lo JC, Mulligan K, et al. Metabolic effects of indinavir in healthy HIV-seronegative men. AIDS. 2001; 15(7): F11- F18. Website. http://journals.lww.com/aidsonline/pages/articleviewer.aspx?year=2001&issue=05040&article=00001&type=abstract. Accessed August 5, 2016

9. Fuchsburger C, Flannick J, Teslovich TM, et al. The genetic architecture of type 2 diabetes. Nature. 2016; 536(7614): 41-47. doi: 10.1038/nature18642

10. Gaulton KJ, Ferreira T, Lee Y, et al. Genetic fine-mapping and genomic annotation defines causal mechanisms at type 2 diabetes susceptibility loci. Nat Genet. 2015; 47: 1415-1425. doi: 10.1038/ng.3437

11. Voight BF, Scott LJ, Steinthorsdottir V, et al. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet. 2010; 42: 579-589. doi: 10.1038/ng.609

12. Locke AE, Kahali B, Berndt SI, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015; 518(7538): 197-206. doi: 10.1038/nature14177

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