Intergenerational influences on diabetes in a developing population: The Guangzhou Biobank Cohort Study

Kavikondala, S; Jiang, Chao Qiang; Zhang, W.S.; Cheng, Kar Keung; Lam, Tai Hing; Leung, Gabriel M.; Schooling, CM

doi:10.1002/ajhb.21206

Cited by 5 publications

(4 citation statements)

References 40 publications

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“…A number of studies have found, as we did, that greater parental occupational status and education is associated with a decreased risk of adult-onset MetS,14,15,16) as well as DM and obesity 9,10,11). However, in the Pitt County cohort study, no significant association between childhood SES and adult-onset MetS was reported 17).…”

Section: Discussionsupporting

confidence: 43%

“…Recent studies have reported that low SES increases the risk of cardio-metabolic diseases, including diabetes mellitus (DM), cardiovascular disease, and MetS 6,7). Furthermore, significant associations between childhood and adult SES and cardio-metabolic pathologic conditions have been described 8,9,10,11). Although the precise mechanisms remain unknown, it is widely believed that the remodeling of neuro-endocrine and hormonal signaling pathways is involved 12,13).…”

Section: Introductionmentioning

confidence: 99%

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The Relationship between Metabolic Syndrome and Childhood Maternal Education Level, Job Status Findings from the Korean National Health and Nutrition Examination, 2007-2009

et al. 2014

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BackgroundChildhood socioeconomic status (SES) is known to affect cardio-metabolic disease risk. However, the relationship between childhood SES and metabolic syndrome (MetS) remains uncertain. Therefore, we investigated the relationship between childhood SES, as measured by maternal education and occupational status and adult-onset MetS in the Korean population.MethodsWe examined the association between childhood SES, as measured by maternal education level and occupational status during an individual's childhood, and MetS in Korean adults aged 20 to 79 years who participated in the 2007-2009 Korean National Health Examination and Nutrition Survey. The components of MetS, including waist circumference, fasting glucose, lipid profiles, and blood pressure, were measured. Adjusted odds ratios (ORs) for MetS were calculated using multiple logistic regression models.ResultsSignificant differences in the association between maternal education level, occupational status, and MetS were found between males and females. In females, the adjusted MetS OR for the highest maternal education quartile relative to the lowest quartile was 0.46 (0.21-0.99). Similarly, in females, the adjusted OR for individuals whose mothers worked when they were children relative to those whose mothers did not work was 1.23 (1.04-1.44). In males, no significant associations between maternal education, maternal occupational status, and MetS were found.ConclusionWe found independent, positive associations between maternal education and occupational status and MetS in Korean females. These findings suggest that public health education targeting MetS prevention should be considered, especially among children with less opportunity for maternal support.

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Section: Discussionsupporting

confidence: 43%

Section: Introductionmentioning

confidence: 99%

The Relationship between Metabolic Syndrome and Childhood Maternal Education Level, Job Status Findings from the Korean National Health and Nutrition Examination, 2007-2009

et al. 2014

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“…This may be of particular relevance in Asia, and similar settings, where poor living conditions over recent generations may preclude the achievement of genetic growth potential in height (Hui et al,2008) and build. As such, this hypothesis may partly explain why populations who have experienced rapid and recent economic transition are particularly vulnerable to diabetes (Schooling et al,2011) and is consistent with the observation that poor maternal childhood conditions were associated with diabetes in a Chinese population (Kavikondala et al,2011). A research program using animal models supplemented by observations of adolescents would provide a more thorough test in a short timescale.…”

Section: Discussionsupporting

confidence: 71%

A stable G‐quartet binds to a huntingtin protein fragment containing expanded polyglutamine tracks

Yerkes

Vesenka

Kmiec

2009

J of Neuroscience Research

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Huntington's disease (HD) is a progressive neurodegenerative disorder that is inherited in an autosomal dominant fashion. The disease is the result of an expanded CAG repeat in exon 1 of the HD gene, which encodes an elongated polyglutamine tract in the mutant form of the protein, huntingtin. Disease pathogenesis is linked to intracellular aggregates that form because of the tendency of the mutant protein to misfold. The role of huntingtin aggregates in disease pathology is unclear; it has been proposed that the aggregates themselves are toxic because of their ability to sequester intracellular proteins and disrupt normal cellular function. In addition, the mechanistic steps that lead to aggregate formation appear to be central to HD pathology. We have previously reported that guanosine-rich oligonucleotides with the ability to fold into a G-quartet are effective inhibitors of the aggregation process of a huntingtin protein fragment with an elongated polyglutamine tract, Htn 1-171(Q58). The most active molecule is composed of 20 guanosine residues, which adopt a G-wire conformation. Here we establish that G20 inhibits protein aggregation as judged by native gel electrophoresis, an agarose gel electrophoresis for resolving aggregates (AGERA) assay, and an immunoblotting assay. We also visualize the G20-Htn1-171(Q58) protein complex by using a streptavidin-biotin pull-down assay as well as atomic force microscopy (AFM). The G20 molecule also interacts with Htn1-171(Q23), a fusion protein that contains 23 glutamine residues instead of 58 (Q58), but in a more degenerate and nonspecific fashion. Taken together, our data support the notion that G20 exhibits some selectivity in binding to specific protein species that assemble along the aggregation pathway.

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“…Two studies had a highly selected study population. One selected the sample from an association for elders to represent the total older population of the study area [50], and a second study included participants who were willing to cooperate with the research team, without using any sampling techniques [52]. Fourteen studies did not report sex or age distribution, which is a limitation since both sex and age are important risk factors for type 2 diabetes [4].…”

Section: Resultsmentioning

confidence: 99%

Socioeconomic status and prevalence of type 2 diabetes in mainland China, Hong Kong and Taiwan: a systematic review

Wu¹,

Meng²,

Wild³

et al. 2017

Journal of Global Health

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BackgroundChina is estimated to have had the largest number of people with diabetes in the world in 2015, with extrapolation of existing data suggesting that this situation will continue until at least 2030. Type 2 diabetes has been reported to be more prevalent among people with low socioeconomic status (SES) in high–income countries, whereas the opposite pattern has been found in studies from low– and middle–income countries. We conducted a systematic review to describe the cross–sectional association between SES and prevalence of type 2 diabetes in Chinese in mainland China, Hong Kong and Taiwan.MethodsWe conducted a systematic literature search in Medline, Embase and Global Health electronic databases for English language studies reporting prevalence or odds ratio for type 2 diabetes in a Chinese population for different SES groups measured by education, income and occupation. We appraised the quality of included studies using a modified Newcastle–Ottawa Scale. Heterogeneity of studies precluded meta–analyses, therefore we summarized study results using a narrative synthesis.ResultsThirty–three studies met the inclusion criteria and were included in the systematic review. The association between education, income and occupation and type 2 diabetes was reported by 27, 19 and 12 studies, respectively. Most, but not all, studies reported an inverse association between education and type 2 diabetes, with odds ratios (OR) and 95% confidence interval (CI) ranging from 0.39 (CI not reported) to 1.52 (95% CI 0.91 – 2.54) for the highest compared to the lowest education level. The association between income and type 2 diabetes was inconsistent between studies. Only a small number of studies identified a significant association between occupation and type 2 diabetes. Retired people and people working in white collar jobs were reported to have a higher risk of type 2 diabetes than other occupational groups even after adjusting for age.ConclusionsThis first systematic review of the association between individual SES and prevalence of type 2 diabetes in China found that low education is probably associated with an increased prevalence of type 2 diabetes, while the association between income and occupation and type 2 diabetes is unclear.

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Intergenerational influences on diabetes in a developing population: The Guangzhou Biobank Cohort Study

Cited by 5 publications

References 40 publications

The Relationship between Metabolic Syndrome and Childhood Maternal Education Level, Job Status Findings from the Korean National Health and Nutrition Examination, 2007-2009

The Relationship between Metabolic Syndrome and Childhood Maternal Education Level, Job Status Findings from the Korean National Health and Nutrition Examination, 2007-2009

A stable G‐quartet binds to a huntingtin protein fragment containing expanded polyglutamine tracks

Socioeconomic status and prevalence of type 2 diabetes in mainland China, Hong Kong and Taiwan: a systematic review

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