The metabolic profiles of HIV-infected and non-infected women in Mangaung, South Africa

Hattingh, Zorada; Walsh, Colum P.; Veldman, Frederick Johannes; Bester, C.J.

doi:10.1080/16070658.2009.11734213

Cited by 18 publications

(14 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…[4][5] A lower BMI was reported in most of the HIV-infected women in this study than in their HIV-uninfected counterparts, and the diff erence was statistically signifi cant in the younger women who fell in the low physical activity category, as well as in the younger HIV-infected and older HIV-uninfected women who fell in the normal to high physical activity category. This indicates the eff ect of HIV infection on their anthropometric indices, even 27 However, the results of this study indicate that HIV-infected women tend to have a higher energy intake than their HIV-uninfected counterparts, possibly to compensate for their weight loss.…”

Section: Discussioncontrasting

confidence: 46%

Assessment of the physical activity, body mass index and energy intake of HIV-uninfected and HIV-infected women in Mangaung, Free State province

Hattingh

Roux

Nel

et al. 2014

South African Family Practice

Self Cite

View full text Add to dashboard Cite

Section: Discussioncontrasting

confidence: 46%

Assessment of the physical activity, body mass index and energy intake of HIV-uninfected and HIV-infected women in Mangaung, Free State province

Hattingh

Roux

Nel

et al. 2014

South African Family Practice

Self Cite

View full text Add to dashboard Cite

“…Study results from SSA have been mixed. Mercier and Ngatchou found that there was a higher prevalence of GMDs among adults who were HIV-infected, ART-naïve compared to HIV-negative controls [ 25 , 26 ], but 3 additional studies from SSA showed no difference in average glucose measurements or GMDs between HIV-infected, ART-naïve adults and HIV-negative controls [ 4 , 27 , 28 ]. Of note, all of these studies used fasting glucose alone; since OGTT was not performed in these others studies, IGT could not be diagnosed leading to an underestimation of the total burden of GMD.…”

Section: Discussionmentioning

confidence: 99%

Glucose Metabolism Disorders, HIV and Antiretroviral Therapy among Tanzanian Adults

et al. 2015

View full text Add to dashboard Cite

IntroductionMillions of HIV-infected Africans are living longer due to long-term antiretroviral therapy (ART), yet little is known about glucose metabolism disorders in this group. We aimed to compare the prevalence of glucose metabolism disorders among HIV-infected adults on long-term ART to ART-naïve adults and HIV-negative controls, hypothesizing that the odds of glucose metabolism disorders would be 2-fold greater even after adjusting for possible confounders.MethodsIn this cross-sectional study conducted between October 2012 and April 2013, consecutive adults (>18 years) attending an HIV clinic in Tanzania were enrolled in 3 groups: 153 HIV-negative controls, 151 HIV-infected, ART-naïve, and 150 HIV-infected on ART for ≥ 2 years. The primary outcome was the prevalence of glucose metabolism disorders as determined by oral glucose tolerance testing. We compared glucose metabolism disorder prevalence between each HIV group vs. the control group by Fisher’s exact test and used multivariable logistic regression to determine factors associated with glucose metabolism disorders.ResultsHIV-infected adults on ART had a higher prevalence of glucose metabolism disorders (49/150 (32.7%) vs.11/153 (7.2%), p<0.001) and frank diabetes mellitus (27/150 (18.0%) vs. 8/153 (5.2%), p = 0.001) than HIV-negative adults, which remained highly significant even after adjusting for age, gender, adiposity and socioeconomic status (OR = 5.72 (2.78–11.77), p<0.001). Glucose metabolism disorders were significantly associated with higher CD4+ T-cell counts. Awareness of diabetes mellitus was <25%.ConclusionsHIV-infected adults on long-term ART had 5-fold greater odds of glucose metabolism disorders than HIV-negative controls but were rarely aware of their diagnosis. Intensive glucose metabolism disorder screening and education are needed in HIV clinics in sub-Saharan Africa. Further research should determine how glucose metabolism disorders might be related to immune reconstitution.

show abstract

“…Detections such as these provide metabolic information linked to patient health and could serve as a guide for the implementation of corrective therapy prior to the development of clinical symptoms. Key metabolic defects caused by HIV also include its ability to induce malnutrition, 18 disrupt the functioning of the mitochondria, 19,20 induce changes in body composition, fat distribution, changes in lipid, carbohydrate and protein metabolism. 14,16 Changes in body composition are largely attributed to an increase in the catabolic state of the host.…”

Section: Hiv-and Haart-associated Metabolic Changes (As Detected By Cmentioning

confidence: 99%

Metabonomic analysis of HIV-infected biofluids

2013

View full text Add to dashboard Cite

Monitoring the progression of HIV infection to full-blown acquired immune deficiency syndrome (AIDS) and assessing responses to treatment will benefit greatly from the identification of novel biological markers especially since existing clinical indicators of disease are not infallible. Nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS) are powerful methodologies used in metabonomic analyses for an approximation of HIV-induced changes to the phenotype of an infected individual. Although early in its application to HIV/AIDS, (biofluid) metabonomics has already identified metabolic pathways influenced by both HIV and/or its treatment. To date, biofluid NMR and MS data show that the virus and highly active antiretroviral treatment (HAART) mainly influence carbohydrate and lipid metabolism, suggesting that infected individuals are susceptible to very specific metabolic complications. A number of well-defined biofluid metabonomic studies clearly distinguished HIV negative, positive and treatment experienced patient profiles from one another. While many of the virus or treatment affected metabolites have been identified, the metabonomics measurements were mostly qualitative. The identities of the molecules were not always validated neither were the statistical models used to distinguish between groups. Assigning particular metabolic changes to specific drug regimens using metabonomics also remains to be done. Studies exist where identified metabolites have been linked to various disease states suggesting great potential for the use of metabonomics in disease prognostics. This review therefore examines the field of metabonomics in the context of HIV/AIDS, comments on metabolites routinely detected as being affected by the pathogen or treatment, explains what existing data suggest and makes recommendations on future research.

show abstract

The metabolic profiles of HIV-infected and non-infected women in Mangaung, South Africa

Cited by 18 publications

References 18 publications

Assessment of the physical activity, body mass index and energy intake of HIV-uninfected and HIV-infected women in Mangaung, Free State province

Assessment of the physical activity, body mass index and energy intake of HIV-uninfected and HIV-infected women in Mangaung, Free State province

Glucose Metabolism Disorders, HIV and Antiretroviral Therapy among Tanzanian Adults

Metabonomic analysis of HIV-infected biofluids

Contact Info

Product

Resources

About