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- Iversen, AKN, et al.
(författare)
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Limited protective effect of the CCR5 Delta 32/CCR5 Delta 32 genotype on human immunodeficiency virus infection incidence in a cohort of patients with hemophilia and selection for genotypic X4 virus
- 2003
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Ingår i: Journal of Infectious Diseases. - 1537-6613. ; 187:2, s. 215-225
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Tidskriftsartikel (refereegranskat)abstract
- The relationship among CCR5 genotype, cytomegalovirus infection, and disease progression and death was studied among 159 human immunodeficiency virus (HIV)-infected patients with hemophilia. One patient (0.6%) had the CCR5Delta32/CCR5Delta32 genotype (which occurs in similar to2% of the Scandinavian population) and a rapid disease course. His HIV V3 region contained genotypic features attributable to X4 virus and resembled functionally verified X4 virus and virus from patients treated with a CD4 cell-stimulating drug, tucaresol. Age-related differences in disease progression rate and survival time were seen for CCR5/CCR5 patients. Surprisingly, no protective effect of the CCR5/CCR5Delta32 genotype on disease progression or survival was seen for children but was evident for adults. Age group-related immunologic differences might explain this variation, and transmission route and/or viral phenotype variation within donor virus may be related to the limited protection of the CCR5Delta32/ CCR5Delta32 genotype. Sequence comparisons indicate that X4 virus can be selected in vivo due to either absence of CCR5 receptors or relative increase of CXCR4 receptors.
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| 2. |
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| 3. |
- Brinda, E. M., et al.
(författare)
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Socio-economic inequalities in health and health service use among older adults in India : results from the WHO Study on Global AGEing and adult health survey
- 2016
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Ingår i: Public Health. - : Elsevier BV. - 0033-3506. ; 141, s. 32-41
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Tidskriftsartikel (refereegranskat)abstract
- Objective The objectives of this study were to measure socio-economic inequalities in self-reported health (SRH) and healthcare visits and to identify factors contributing to health inequalities among older people aged 50-plus years. Study design This study is based on a population-based, cross-sectional survey. Methods We accessed data of 7150 older adults from the World Health Organization's Study on Global AGEing and adult health Indian survey. We used multivariate logistic regression to assess the correlates of poor SRH. We estimated the concentration index to measure socio-economic inequalities in SRH and healthcare visits. Regression-based decomposition analysis was employed to explore the correlates contributing to poor SRH inequality. Results About 19% (95% CI: 18%, 20%) reported poor health (n = 1368) and these individuals were significantly less wealthy. In total, 5134 (71.8%) participants made at least one health service visit. Increasing age, female gender, low social caste, rural residence, multimorbidity, absence of pension support, and health insurance were significant correlates of poor SRH. The standardized concentration index of poor SRH –0.122 (95% CI: –0.102; –0.141) and healthcare visits 0.364 (95% CI: 0.324, 0.403) indicated pro-poor and pro-rich inequality, respectively. Economic status (62.3%), pension support (11.5%), health insurance coverage (11.5%), social caste (10.7%) and place of residence (4.1%) were important contributors to inequalities in poor health. Conclusion Socio-economic disparities in health and health care are major concerns in India. Achievement of health equity demand strategies beyond health policies, to include pro-poor, social welfare policies among older Indians.
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| 5. |
- Handberg, A, et al.
(författare)
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Soluble CD36 (sCD36) clusters with markers of insulin resistance, and high sCD36 is associated with increased type 2 diabetes risk
- 2010
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Ingår i: Journal of Clinical Endocrinology and Metabolism. - : The Endocrine Society. - 0021-972X .- 1945-7197. ; 95:4, s. 1939-1946
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Tidskriftsartikel (refereegranskat)abstract
- CONTEXT AND OBJECTIVE:Soluble CD36 (sCD36) may be an early marker of insulin resistance and atherosclerosis. The objective of this prospective study was to evaluate sCD36 as a predictor of type 2 diabetes and to study its relationship with components of the metabolic syndrome (MetSy).DESIGN, SETTING, PARTICIPANTS, AND OUTCOME MEASURES:We conducted a case-referent study nested within a population-based health survey. Baseline variables included sCD36, body mass index, blood pressure, blood lipids, adipokines, inflammatory markers, and beta-cell function. A total of 173 initially nondiabetic cohort members who developed type 2 diabetes during 10 yr of follow-up were matched (1:2) with referents. Exploratory factor analysis was applied to hypothesize affiliation of sCD36 to the MetSy components.RESULTS:Doubling of baseline sCD36 increases the odds ratio for diabetes development by 1.24 in the general study population and by 1.45 in the female population (P < 0.025). Comparing upper sCD36 quartiles with lower, odds ratio for diabetes was 4.6 in women (P = 0.001), 3.15 in men (P = 0.011), and 2.6 in obese individuals (P < 0.025). Multivariate analysis shows that sCD36 does not predict diabetes independent of fasting plasma glucose and insulin. Factor analysis of 15 variables generates a six-factor model explaining 66-69% of total variance, where sCD36, body mass index, insulin, proinsulin, and leptin were assigned to the obesity/insulin resistance cluster.CONCLUSIONS:Upper quartile sCD36 is associated with elevated diabetes risk independent of age, gender, and obesity. Baseline sCD36 does not, however, predict diabetes independent of fasting glucose and insulin. sCD36 clusters with important markers of insulin resistance and MetSy that are key predictors of type 2 diabetes.
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