scholarly journals Serum Amino Acids in Association with Prevalent and Incident Type 2 Diabetes in A Chinese Population

Metabolites ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 14 ◽  
Author(s):  
Yonghai Lu ◽  
Yeli Wang ◽  
Xu Liang ◽  
Li Zou ◽  
Choon Ong ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Amino Acids ◽  
Chinese Population ◽  
Essential Amino Acids ◽  
Health Study ◽  
Isoleucine Leucine ◽  
Baseline Serum ◽  
Incident Type ◽  
Incident Type 2 Diabetes

We aimed to simultaneously examine the associations of both essential and non-essential amino acids with both prevalent and incident type 2 diabetes in a Chinese population. A case-control study was nested within the Singapore Chinese Health Study. Participants included 144 cases with prevalent and 160 cases with incident type 2 diabetes and 304 controls. Cases and controls were individually matched on age, sex, and date of blood collection. Baseline serum levels of 9 essential and 10 non-essential amino acids were measured using liquid chromatography tandem mass spectrometry. We identified that five essential (isoleucine, leucine, lysine, phenylalanine, and valine) and five non-essential (alanine, glutamic acid, glutamine, glycine, and tyrosine) amino acids were associated with the prevalence of type 2 diabetes; four essential (isoleucine, leucine, tryptophan, and valine) and two non-essential (glutamine and tyrosine) amino acids were associated with the incidence of type 2 diabetes. Of these, valine and tyrosine independently led to a significant improvement in risk prediction of incident type 2 diabetes. This study demonstrates that both essential and non-essential amino acids were associated with the risk for prevalent and incident type 2 diabetes, and the findings could aid in diabetes risk assessment in this Chinese population.

scholarly journals Serum Lipids in Association With Type 2 Diabetes Risk and Prevalence in a Chinese Population

2017 ◽  
Vol 103 (2) ◽  
pp. 671-680 ◽  
Author(s):  
Yonghai Lu ◽  
Yeli Wang ◽  
Li Zou ◽  
Xu Liang ◽  
Choon Nam Ong ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chinese Population ◽  
Conditional Logistic Regression ◽  
Diabetes Risk ◽  
Health Study ◽  
Blood Collection ◽  
Nonesterified Fatty Acids ◽  
Incident Type ◽  
Incident Type 2 Diabetes

Abstract Context We previously reported an association between lysophosphatidylinositol (LPI) (16:1) and risk for type 2 diabetes in a Chinese population using an untargeted analysis. Objective To examine the overall associations of LPIs and their related metabolites, such as nonesterified fatty acids (NEFAs) and acylcarnitines, with incident and prevalent type 2 diabetes using a targeted approach. Design and Setting A case-control study was nested within the Singapore Chinese Health Study. Cases and controls were individually matched by age, sex, and date of blood collection. We used both liquid and gas chromatography tandem mass spectrometry to measure serum metabolite levels at baseline, including 8 LPIs, 19 NEFAs, and 34 acylcarnitines. Conditional logistic regression models were used to estimate the associations between metabolites and diabetes risk. Participants Participants included 160 incident and 144 prevalent cases with type 2 diabetes and 304 controls. Main Outcome Measure Incident and prevalent type 2 diabetes. Results On the basis of a false discovery rate <0.1, we identified 37 metabolites associated with prevalent type 2 diabetes, including 7 LPIs, 18 NEFAs, and 12 acylcarnitines, and 11 metabolites associated with incident type 2 diabetes, including 2 LPIs and 9 NEFAs. Two metabolites, LPI (16:1) and dihomo-γ-linolenic acid, showed independent associations with incident type 2 diabetes and significantly enhanced the risk prediction. Conclusions We found several LPIs and NEFAs that were associated with risk for type 2 diabetes and may improve our understanding of the pathogenesis. The findings suggest that lipid profiles could aid in diabetes risk assessment in Chinese populations.

scholarly journals Deciphering the Plasma Proteome of Type 2 Diabetes

2020 ◽  
Author(s):  
Ada Admin ◽  
Mohamed A. Elhadad ◽  
Christian Jonasson ◽  
Cornelia Huth ◽  
Rory Wilson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Growth Hormone Receptor ◽  
Smoking Status ◽  
Underlying Disease ◽  
Sex Hormone Binding Globulin ◽  
Health Study ◽  
Study Cohort ◽  
Incident Type ◽  
Incident Type 2 Diabetes

With an estimated prevalence of 463 million affected, type 2 diabetes represents a major challenge to health care systems worldwide. Analyzing the plasma proteomes of individuals with type 2 diabetes may illuminate hitherto unknown functional mechanisms underlying disease pathology. We assessed the associations between type 2 diabetes and >1000 plasma proteins in the KORA (Cooperative health research in the Region of Augsburg) F4 cohort (n=993, 110 cases), with subsequent replication in the HUNT3 (Third wave of the Nord-Trøndelag Health Study) cohort (n=940, 149 cases). We computed logistic regression models adjusted for age, sex, BMI, smoking status and hypertension. Additionally, we investigated associations with incident type 2 diabetes and performed two-sample bi-directional Mendelian randomization (MR) analysis to prioritize our results. Association analysis of prevalent type 2 diabetes revealed 24 replicated proteins, of which eight are novel. Proteins showing association with incident type 2 diabetes were aminoacylase-1, growth hormone receptor, and insulin-like growth factor binding protein-2. Aminoacylase-1 was associated with both prevalent and incident type 2 diabetes. MR analysis yielded nominally significant causal effects of type 2 diabetes on cathepsin Z and rennin, both known to have roles in the pathophysiological pathways of cardiovascular disease, and of sex hormone-binding globulin on type 2 diabetes. In conclusion, our high-throughput proteomics study replicated previously reported type 2 diabetes-protein associations, and identified new candidate proteins possibly involved in the pathogenesis of type 2 diabetes.

scholarly journals Deciphering the Plasma Proteome of Type 2 Diabetes

2020 ◽  
Author(s):  
Ada Admin ◽  
Mohamed A. Elhadad ◽  
Christian Jonasson ◽  
Cornelia Huth ◽  
Rory Wilson ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Growth Hormone Receptor ◽  
Smoking Status ◽  
Underlying Disease ◽  
Sex Hormone Binding Globulin ◽  
Health Study ◽  
Study Cohort ◽  
Incident Type ◽  
Incident Type 2 Diabetes

With an estimated prevalence of 463 million affected, type 2 diabetes represents a major challenge to health care systems worldwide. Analyzing the plasma proteomes of individuals with type 2 diabetes may illuminate hitherto unknown functional mechanisms underlying disease pathology. We assessed the associations between type 2 diabetes and >1000 plasma proteins in the KORA (Cooperative health research in the Region of Augsburg) F4 cohort (n=993, 110 cases), with subsequent replication in the HUNT3 (Third wave of the Nord-Trøndelag Health Study) cohort (n=940, 149 cases). We computed logistic regression models adjusted for age, sex, BMI, smoking status and hypertension. Additionally, we investigated associations with incident type 2 diabetes and performed two-sample bi-directional Mendelian randomization (MR) analysis to prioritize our results. Association analysis of prevalent type 2 diabetes revealed 24 replicated proteins, of which eight are novel. Proteins showing association with incident type 2 diabetes were aminoacylase-1, growth hormone receptor, and insulin-like growth factor binding protein-2. Aminoacylase-1 was associated with both prevalent and incident type 2 diabetes. MR analysis yielded nominally significant causal effects of type 2 diabetes on cathepsin Z and rennin, both known to have roles in the pathophysiological pathways of cardiovascular disease, and of sex hormone-binding globulin on type 2 diabetes. In conclusion, our high-throughput proteomics study replicated previously reported type 2 diabetes-protein associations, and identified new candidate proteins possibly involved in the pathogenesis of type 2 diabetes.

Abstract MP037: Plasma Organochlorine Concentration and Risk of Diabetes: the Nurses' Health Study

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Hongyu Wu ◽  
Kimberly A Bertrand ◽  
Anna L Choi ◽  
Frank B Hu ◽  
Francine Laden ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Polychlorinated Biphenyl ◽  
Plasma Concentrations ◽  
Diabetes Risk ◽  
Health Study ◽  
Blood Draw ◽  
Incident Type ◽  
Increased Risk ◽  
Incident Type 2 Diabetes

Background: Animal experiments have suggested that exposure to persistent organic pollutants (POPs) may lead to increased risk of type 2 diabetes. Although recent human studies supported this hypothesis, evidence from prospective investigations is sparse. Objective: To examine the associations of plasma POP concentrations with risk of incident type 2 diabetes in a prospective setting among US women. Methods: Study population was comprised of participants from two independent nested case-control studies in the Nurses’ Health Study, in which major polychlorinated biphenyl (PCB 118, 138, 153, and 180), p-p'- dichlorodiphenyldichloroethylene (DDE), dichlorodiphenyltrichloroethane (DDT), and hexachlorobenzene (HCB) were measured. A non-parametric approach was used to derive standardized scores for plasma concentrations of lipid-adjusted POPs within each study to minimize between-study variation of the POP measurements. Risk of incident type 2 diabetes during the follow-up period (1990-2008) across the tertiles of the scores was examined. Results: Of 1,120 participants, we identified 48 incident type 2 diabetes cases. After adjusting for covariates assessed at blood draw in 1990, including smoking status, body mass index, and total fish intake, plasma HCB concentration was positively associated with type 2 diabetes risk: odds ratio (OR) (95% confidence interval [CI]) was 2.77 (1.17, 6.55, P for trend =0.022) comparing the highest vs. lowest tertile. Other POPs were not significantly associated with diabetes: the ORs (95% CI) were 1.10 (0.51, 2.34, P for trend =0.81) for p-p'-DDE, 0.93 (0.44, 1.95, P for trend =0.86) for DDT, and 0.88 (0.39, 1.97, P for trend =0.76) for sum of the 4 major PCBs, comparing the extreme tertiles. Conclusion: The significant association of plasma HCB concentration with diabetes risk supports a role of POP exposure in the etiology of type 2 diabetes. More prospective data are warranted to confirm these findings.

scholarly journals Islet amyloid polypeptide gene variation (IAPP) and the risk of incident type 2 diabetes mellitus: The women's genome health study

2011 ◽  
Vol 412 (9-10) ◽  
pp. 785-787 ◽  
Author(s):  
Robert Y.L. Zee ◽  
Patricia Pulido-Perez ◽  
Ricardo Perez-Fuentes ◽  
Paul M Ridker ◽  
Daniel I. Chasman ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Islet Amyloid Polypeptide ◽  
Health Study ◽  
Islet Amyloid ◽  
Incident Type ◽  
Gene Variation ◽  
Incident Type 2 Diabetes

scholarly journals Dietary Patterns and Incident Type 2 Diabetes in Chinese Men and Women: The Singapore Chinese Health Study

Diabetes Care ◽  
2011 ◽  
Vol 34 (4) ◽  
pp. 880-885 ◽  
Author(s):  
A. O. Odegaard ◽  
W.-P. Koh ◽  
L. M. Butler ◽  
S. Duval ◽  
M. D. Gross ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Dietary Patterns ◽  
Health Study ◽  
Men And Women ◽  
Chinese Men ◽  
Incident Type ◽  
Incident Type 2 Diabetes ◽  
Singapore Chinese

scholarly journals Erythrocyte n-6 polyunsaturated fatty acids, gut microbiota and incident type 2 diabetes: a prospective cohort study

2020 ◽  
Author(s):  
Zelei Miao ◽  
Jie-sheng Lin ◽  
Yingying Mao ◽  
Geng-dong Chen ◽  
Fang-fang Zeng ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Gut Microbiota ◽  
Health Study ◽  
Diabetes Incidence ◽  
Incident Type ◽  
Β Diversity ◽  
Α Diversity ◽  
Incident Type 2 Diabetes

<b>OBJECTIVE </b>To examine the association of erythrocyte n-6 polyunsaturated fatty acid (PUFA) biomarkers with incident type 2 diabetes and explore the potential role of gut microbiota in the association. <p><b>RESEARCH DESIGN AND METHODS </b>We evaluated 2,731 participants without type 2 diabetes recruited between 2008-2013 in the Guangzhou Nutrition and Health Study, China. Type 2 diabetes cases were identified with clinical and biochemical information collected at follow-up visits. Using stool samples collected during the follow-up in the subset (n=1,591), 16S rRNA profiling was conducted. Using multivariable-adjusted Poisson or linear regression, we examined associations of erythrocyte n-6 PUFA biomarkers with incident type 2 diabetes, and diversity and composition of gut microbiota.</p> <p><b>RESULTS </b>Over<b> </b>6.2 years of follow-up, 276 type 2 diabetes cases were identified (risk=0.10). Higher levels of erythrocyte <a>γ-linolenic acid</a> (GLA), but not linoleic or arachidonic acid, were associated with higher type 2 diabetes incidence. Comparing the top to the bottom quartile groups of GLA levels, relative risk was 1.72 (95% confidence intervals: 1.21, 2.44) adjusted for potential confounders. Baseline GLA was inversely associated with gut microbial richness and diversity (α-diversity, both <i>p</i><0.05) during follow-up, and significantly associated with microbiota β-diversity (<i>p</i>=0.002). α-diversity acted as a potential mediator in the association between GLA and type 2 diabetes (<i>p</i><0.05). Seven genera (<i>Butyrivibrio</i>,<i> Blautia</i>,<i> Oscillospira</i>,<i> Odoribacter</i>,<i> S24-7 other</i>, <i>Rikenellaceae other</i>,<i> </i>and <i>Clostridiales other</i>) were enriched in quartile 1 of GLA, and in participants without type 2 diabetes.</p> <p><b>CONCLUSIONS </b>Relative concentrations of erythrocyte GLA were positively associated with incident type 2 diabetes in a Chinese population and also with gut microbial profiles. These results highlight that gut microbiota may play an important role linking n-6 PUFA metabolism and type 2 diabetes etiology.</p>

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