110 research outputs found

    Is PPARγ a Prospective Player in HIV-1-Associated Bone Disease?

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    Currently infection with the human immunodeficiency virus-1 (HIV-1) is in most instances a chronic disease that can be controlled by effective antiretroviral therapy (ART). However, chronic use of ART has been associated with a number of toxicities; including significant reductions in bone mineral density (BMD) and disorders of the fat metabolism. The peroxisome proliferator-activated receptor gamma (PPARγ) transcription factor is vital for the development and maintenance of mature and developing adipocytes. Alterations in PPARγ expression have been implicated as a factor in the mechanism of HIV-1-associated lipodystrophy. Both reduced BMD and lipodystrophy have been well described as complications of HIV-1 infection and treatment, and a question remains as to their interdependence. Interestingly, both adipocytes and osteoblasts are derived from a common precursor cell type; the mesenchymal stem cell. The possibility that dysregulation of PPARγ (and the subsequent effect on both osteoblastogenesis and adipogenesis) is a contributory factor in the lipid- and bone-abnormalities observed in HIV-1 infection and treatment has also been investigated. This review deals with the hypothesis that dysregulation of PPARγ may underpin the bone abnormalities associated with HIV-1 infection, and treats the current knowledge and prospective developments, in our understanding of PPARγ involvement in HIV-1-associated bone disease

    Antiretroviral Therapy and Dyslipidaemia: Unlocking the Code

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    Mallon discusses a new study that describes associations between apoC-III polymorphisms and triglyceride concentrations in a large population of HIV-infected patients from a variety of ethnic backgrounds

    Pain in people living with HIV and its association with healthcare resource use, well-being and functional status

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    Objective: We describe the prevalence of pain and its associations with healthcare resource utilisation and quality-of-life. Design: The POPPY Study recruited three cohorts: older PLWH (≥50 years, n = 699), younger demographically/lifestyle similar PLWH (<50 years, n = 374) and older demographically/lifestyle similar HIV-negative (≥50 years, n = 304) people from April 2013-February 2016. Methods: Current pain and pain-related healthcare use was collected via a self-reported questionnaire. Logistic regression assessed between-group differences in the prevalence of pain in the past month and current pain after controlling for potential confounders. Associations between current pain and healthcare resource use, reported joint problems, depressive symptoms, quality-of-life and functional status were assessed in PLWH using Mann-Whitney U and Chi-squared tests. Results: Pain in the past month was reported by 473/676 (70.0%) older PLWH, 224/357 (62.7%) younger PLWH and 188/295 (63.7%) older HIV-negative controls (p = 0.03), with current pain reported in 330 (48.8%), 134 (37.5%) and 116 (39.3%), respectively (p = 0.0007). Older PLWH were more likely to experience current pain, even after adjustment for confounders. Of those with pain in the past month, 56/412 (13.6%) had missed days of work or study due to pain, and 520 (59%) had seen a doctor about their pain. PLWH experiencing current painhad more depressive symptoms, poorer quality-of-life on all domains, and greater functional impairment, regardless of age group. Conclusions: Even in the effective ART era, pain remains common in PLWH and has a major impact on quality-of-life and associated healthcare and societal costs. Interventions are required to assist clinicians and PLWH to proactively manage pain

    Defining cognitive impairment in people-living-with-HIV: the POPPY study

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    Background The reported prevalence of cognitive impairment (CI) varies widely in cohorts of people living with HIV (PLWH); this may partly be due to the use of different diagnostic criteria. Agreement between diagnostic criteria of CI, the optimal definition to use, and associations with patient-reported cognitive symptoms have not been fully investigated. Methods Two hundred ninety PLWH aged >50 years and 97 matched negative controls completed a detailed assessment of cognitive function and three questions regarding cognitive symptoms. Age- and education-adjusted test scores (T-scores) determined if subjects met the following definitions of CI: Frascati, global deficit score (GDS) and the multivariate normative comparison (MNC) method. Results PLWH were more likely than controls to meet each definition of CI (ORs were 2.17, 3.12 and 3.64 for Frascati, GDS and MNC, respectively). Agreement of MNC with Frascati and GDS was moderate (Cohen’s k = 0.42 and 0.48, respectively), whereas that between Frascati and GDS was good (k = 0.74). A significant association was found between all the three criteria and reporting of memory loss but not with attention and reasoning problems. The 41 (14 %) PLWH meeting all the three criteria had the lowest median global T-score (36.9) and highest rate of symptom reporting (42 %). Conclusions Different CI criteria show fair diagnostic agreement, likely reflecting their ability to exclude CI in the same group of individuals. Given the lower overall cognitive performance and higher rates of symptom reporting in those meeting all three criteria of CI, further work assessing this as a definition of CI in PLWH is justified

    Individuals with obesity who survive SARS‐CoV‐2 infection have preserved antigen‐specific T cell frequencies

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    Objective: Obesity is a major risk factor for severe disease in COVID-19, with increased hospitalization, intensive care unit admission, and mortality. This increased impact of COVID-19 in people with obesity (PWO) is likely driven, in part, by the well-described obesity-induced immune dysregulation. Obesity has also been associated with impaired immune memory in many settings, including weakened responses to hepatitis B, tetanus, rabies, and influenza vaccination. Recently, it was reported that PWO who have COVID-19 have reduced IgG antibody titers with defective neutralizing capabilities. However, it remains unknown whether PWO generate durable T cell immunity to SARS-CoV-2. Methods: This study investigated SARS-CoV-2-specific T cell responses in a cohort of 40 patients (n = 20 PWO and n = 20 matched control individuals) who had recovered from COVID-19. T cell (CD4+, CD8+) cytokine responses (IFNγ, TNFα) to SARS-CoV-2 peptide pools (spike, membrane) were determined using multicolor flow cytometry. Results: Circulating T cells specific for SARS-CoV-2 were readily detected in the total cohort. PWO displayed comparable levels of SARS-CoV-2 spike- and membrane-specific T cells, with both T cell subsets responding. Conclusions: These data indicate that PWO who survive COVID-19 generate robust and durable SARS-CoV-2-specific T cell immunity that is equivalent to that seen in those without obesity

    Defining cognitive impairment in people-living-with-HIV: the POPPY study

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    Background The reported prevalence of cognitive impairment (CI) varies widely in cohorts of people living with HIV (PLWH); this may partly be due to the use of different diagnostic criteria. Agreement between diagnostic criteria of CI, the optimal definition to use, and associations with patient-reported cognitive symptoms have not been fully investigated. Methods Two hundred ninety PLWH aged >50 years and 97 matched negative controls completed a detailed assessment of cognitive function and three questions regarding cognitive symptoms. Age- and education-adjusted test scores (T-scores) determined if subjects met the following definitions of CI: Frascati, global deficit score (GDS) and the multivariate normative comparison (MNC) method. Results PLWH were more likely than controls to meet each definition of CI (ORs were 2.17, 3.12 and 3.64 for Frascati, GDS and MNC, respectively). Agreement of MNC with Frascati and GDS was moderate (Cohen’s k = 0.42 and 0.48, respectively), whereas that between Frascati and GDS was good (k = 0.74). A significant association was found between all the three criteria and reporting of memory loss but not with attention and reasoning problems. The 41 (14 %) PLWH meeting all the three criteria had the lowest median global T-score (36.9) and highest rate of symptom reporting (42 %). Conclusions Different CI criteria show fair diagnostic agreement, likely reflecting their ability to exclude CI in the same group of individuals. Given the lower overall cognitive performance and higher rates of symptom reporting in those meeting all three criteria of CI, further work assessing this as a definition of CI in PLWH is justified

    Changes in multimorbidity burden over a 3–5 year period among people with HIV

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    Introduction: As people living with HIV age, the increasing burden of multimorbidity poses a significant health challenge. The aims of this study were to identify common patterns of multimorbidity and examine changes in their burden, as well as their associations with risk factors, over a 3–5 year period in people with HIV, enrolled in the Pharmacokinetic and clinical Observations in PeoPle over fiftY (POPPY) study.Methods: Common multimorbidity patterns were identified in POPPY participants with HIV using principal component analysis, based on Somers’ D statistic. Multimorbidity burden scores were calculated for each participant/pattern at study entry/follow-up and were standardised relative to the mean in the sample at baseline (scores &gt;0 thus reflect a greater number of comorbidities relative to the mean). Two multivariable linear regression models were fitted to examine the associations between risk factors and burden z-scores at baseline and change in z-scores over a 3–5 year period.Results: Five patterns were identified among the 1073 POPPY participants with HIV {median age [interquartile range (IQR)], 52 (47–59) years; 85% male and 84% white}: Cardiovascular diseases (CVDs), Sexually transmitted diseases (STDs), Neurometabolic, Cancer and Mental-gastro-joint. The multivariable linear regression showed that older age, behavioural factors (i.e., body mass index (BMI), history of injection drug use, current recreational drug use and sex between men), and HIV-specific factors (i.e., duration since HIV diagnosis and a prior AIDS diagnosis) were associated with higher multimorbidity burden at baseline. However, only three of the factors (age, BMI and duration since HIV diagnosis) were significantly associated with an increase in burden across specific patterns over time.Discussion: Key modifiable and non-modifiable factors contributing to an increase in burden of multimorbidity were identified. Our findings may inform the development of more targeted interventions and guidelines to effectively prevent and manage the rising burden of multimorbidity in people with HIV

    Sleep health and cognitive function among people with and without HIV: the use of different machine learning approaches

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    Study objectives We investigated associations between actigraphy-assessed sleep measures and cognitive function in people with and without HIV using different analytical approaches to better understand these associations and highlight differences in results obtained by these approaches. Methods Cognitive and 7-day/night actigraphy data were collected from people with HIV (PWH) and lifestyle-similar HIV-negative individuals from HIV and sexual health clinics in UK/Ireland. A global cognitive T-score was obtained averaging the standardized individual cognitive test scores accounting for socio-demographics. Average and standard deviation (SD) of eleven sleep measures over 7-days/nights were obtained. Rank regression, partial least-squares (PLS) regression, random forest, sleep dimension construct, and latent class analysis (LCA) were applied to evaluate associations between global T-scores and sleep measures. Results In 344 PWH (median age 57 years, 86% males), average sleep duration, efficiency and wake after sleep onset were not associated with global T-scores according to rank regression (p=0.51, p=0.09, p=0.16, respectively). In contrast, global T-scores associated with average and SD of length of nocturnal awakenings, SD of maintenance efficiency and average out-of-bed time when analyzed by PLS regression and random forest. No associations were found when using sleep dimensions or LCA. Overall, findings observed in PWH were similar to those seen in HIV-negative individuals (median age 61 years, 67% males). Conclusions Using multivariable analytical approaches, measures of sleep continuity, timing and regularity were associated with cognitive performance in PWH, supporting the utility of newer methods of incorporating multiple standard and novel measures of sleep-wake patterns in assessment of health and functioning
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