HIV/AIDS Research and Treatment · Vol. 3, No. 1 · 2016 · pp. e1–e2 · e-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, Glen N. Gaulton

Department of Pediatrics, University of California, San Diego, San Diego, CA 92121, USAUnited States
Department of Pathology and Laboratory Medicine, Center for Global Health, University of Pennsylvania, Philadelphia, PA 19104, USAUnited States

DOI: https://doi.org/10.17140/hartoj-3-e008 · Published 2016-08-09 · Licence: https://creativecommons.org/licenses/by/4.0 · © 2016 The Author(s)

Abstract

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.

HIV/AIDS RESEARCH AND TREATMENT ISSN 2377-8377 http://dx.doi.org/10.17140/HARTOJ-3-e008 Open Journal Editorial It’s Time to Examine the Impact of *Corresponding author Glen N. Gaulton, PhD Genetic Susceptibility on the Incidence of Department of Pathology and Laboratory Medicine Diabetes among HIV-Infected Individuals Center for Global Health University of Pennsylvania Philadelphia, PA 19104, USA 1 2* Kyle J. Gaulton, PhD ; Glen N. Gaulton, PhD E-mail: gaulton@mail.med.upenn.edu 1Department of Pediatrics, University of California, San Diego, San Diego, CA 92121, USA Volume 3 : Issue 1 2 Department of Pathology and Laboratory Medicine, Center for Global Health, University of Article Ref. #: 1000HARTO3e008 Pennsylvania, Philadelphia, PA 19104, USA Article History th The remarkable advances in application of anti-retroviral therapy (ART) to treat HIV- Received: August 6 , 2016 th infection has had a profound impact on the HIV epidemic as well as improved the quality and Accepted: August 8 , 2016 th longevity of life for those who receive such treatment. Nonetheless, as individuals receiving Published: August 9 , 2016 ART live longer, they may develop chronic non-communicable disease at an increased in- cidence and/or severity when compared to non-infected and/or untreated individuals. Prime Citation examples of this include cardiovascular and neurological disease, as well as metabolic syn- Gaulton KJ, Gaulton GN. It’s drome and diabetes mellitus. Whether these growing disease burdens are identical in origin and time to examine the impact of outcome to disease in uninfected individuals, and whether ART impacts disease incidence and genetic susceptibility on the In- cidence of diabetes among HIV- severity in addition to limiting HIV infection is often poorly distinguished. The data on type 2 infected individuals. HIV/AIDS Res diabetes mellitus (T2DM) provides a welcome case in point for this discussion. Treat Open J. 2016; 3(1): e1-e2.

doi: 10.17140/HARTOJ-3-e008 There is now a wealth of data documenting the increased incidence of T2DM in HIV- infected subjects under ART. While the range of this increase varies by study population, loca- tion, 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 1,2 and treatment.1,2 Related studies have more recently tied these effects to an increase in the 3,4 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 de- bate,7 there is ample evidence that various protease inhibitors used for ART cause insulin resis- tance 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 fam- ily 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 pre- disposition 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 exam- ple, T2DM variants affect the activity of the melatonin receptor gene that functions in circadian Copyright regulation of glucose homeostasis.10 Many T2DM genetic factors—such as TCF7L2—cause ©2016 Gaulton GN. This is an defects in insulin secretion and alter pancreatic islet function, other factors—such as PPARG open access article distributed un- and FTO—contribute to insulin resistance, and additional factors influence BMI and dyslipid- der the Creative Commons Attribu- 12 emia. Collectively these genes have profoundly informed the underlying causes of T2DM. tion 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction One key insight from these studies is that genetic factors for T2DM do not typically in any medium, provided the origi- 9,10 alter the protein product of a gene, and instead predominantly lie in non-coding sequences. nal work is properly cited.

Detailed maps of the epigenome in disease-relevant tissues such as pancreatic islets, adipose, HIV/AIDS RESEARCH AND TREATMENT ISSN 2377-8377 http://dx.doi.org/10.17140/HARTOJ-3-e008 Open Journal 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 expres- sion. 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 pro- vide 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.

References

  1. BrownTTColeSRLiX. 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.165.10.117910.1001/archinte.165.10.1179 https://doi.org/10.1001/archinte.165.10.1179
  2. CapeauJBouteloupVKatlamaC. Ten-year diabetes incidence in 1046 HIV-infected patients started on a combination antiretroviral treatment. AIDS. 2012; 26: 303-314. doi: 10.1097/QAD.0b013e32834e877610.1097/qad.0b013e32834e8776 https://doi.org/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 https://doi.org/10.1080/15284336.2016.1207297
  4. SobieszczykMEWernerLMlisanaK. Metabolic syndrome after HIV acquisition in South African women. J Acquir Immune Defic Syndr. 2016. doi: 10.1097/QAI.000000000000112310.1097/qai.0000000000001123 https://doi.org/10.1097/qai.0000000000001123
  5. DimalaCAAtashiliJMbuagbawJCWilfredAMonekossoGL. 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.015556010.1371/journal.pone.0155560 https://doi.org/10.1371/journal.pone.0155560
  6. MoreiraRCPachecoAGPaulaA. 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.2015.026510.1089/aid.2015.0265 https://doi.org/10.1089/aid.2015.0265
  7. BrarIShuterJThomasA. 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.0b013e318031d7e310.1097/qai.0b013e318031d7e3 https://doi.org/10.1097/qai.0b013e318031d7e3
  8. NoorMALoJCMulliganK. Metabolic effects of indinavir in healthy HIV-seronegative men. AIDS. 2001; 15(7): F11-F18. Web site. http://journals.lww.com/aidsonline/pages/articleviewer.aspx?year=2001&issue=05040&article=00001&type=abstra ct. Accessed August 5, 2016
  9. FuchsburgerCFlannickJTeslovichTM. The genetic architecture of type 2 diabetes. Nature. 2016; 536(7614): 41-47. doi: 10.1038/nature1864210.1038/nature18642 https://doi.org/10.1038/nature18642
  10. GaultonKJFerreiraTLeeY. 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.343710.1038/ng.3437 https://doi.org/10.1038/ng.3437
  11. VoightBFScottLJSteinthorsdottirV. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis. Nat Genet. 2010; 42: 579-589. doi: 10.1038/ng.60910.1038/ng.609 https://doi.org/10.1038/ng.609
  12. LockeAEKahaliBBerndtSI. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015; 518(7538): 197-206. doi: 10.1038/nature1417710.1038/nature14177 https://doi.org/10.1038/nature14177