Genetic susceptibility, family history of diabetes and healthy lifestyle factors in relation to diabetes: A gene-environment interaction analysis in Chinese adults

Associations of Combined Genetic and Lifestyle Risks with Incident Type 2 Diabetes in the UK Biobank

Background

Type 2 diabetes (T2D) results from a complex interplay between genetic predisposition and lifestyle factors. Both genetic susceptibility and unhealthy lifestyle are known to be associated with elevated T2D risk. However, their combined effects on T2D risk are not well studied. We aimed to determine whether unhealthy modifiable health behaviors were associated with similar increases in the risk of incident T2D among individuals with different levels of genetic risk.

Methods

We performed a genetic risk score (GRS) by lifestyle interaction analysis within 332,251 non-diabetic individuals at baseline from the UK Biobank. Multi-ancestry GRS were calculated by summing the effects of 783 T2D-associated variants and ranked into tertiles. We used baseline self-reported data on smoking, BMI, physical activity level, and diet quality to categorize participants as having a healthy, intermediate, or unhealthy lifestyle. Cox proportional hazards regression models were used to generate adjusted hazards ratios (HR) of T2D risk and associated 95% confidence intervals (CI).

Results

During follow-up (median 13.6 years), 13,128 (4.0%) participants developed T2D. GRS ( P < 0.001) and lifestyle classification ( P < 0.001) were independently associated with increased risk for T2D. Compared with healthy lifestyle, unhealthy lifestyle was associated with increased T2D risk in all genetic risk strata, with adjusted HR ranging from 7.11 (low genetic risk) to 16.33 (high genetic risk).

Conclusions

High genetic risk and unhealthy lifestyle were the most significant contributors to the development of T2D. Individuals at all levels of genetic risk can greatly mitigate their risk for T2D through lifestyle modifications.

Genetic insights and emerging therapeutics in diabetic retinopathy: from molecular pathways to personalized medicine

Diabetic retinopathy (DR) is a major complication of diabetes worldwide, significantly causing vision loss and blindness in working-age adults, and imposing a substantial socioeconomic burden globally. This review examines the crucial role of genetic factors in the development of DR and highlights the shift toward personalized treatment approaches. Advances in genetic research have identified specific genes and variations involved in angiogenesis, inflammation, and oxidative stress that increase DR susceptibility. Understanding these genetic markers enables early identification of at-risk individuals and the creation of personalized treatment plans. Incorporating these genetic insights, healthcare providers can develop early intervention strategies and tailored treatment plans to improve patient outcomes and minimize side effects. This review emphasizes the transformative potential of integrating genetic information into clinical practice, marking a paradigm shift in DR management and advancing toward a more personalized and effective healthcare model.

Association of healthy lifestyle score with control of hypertension among treated and untreated hypertensive patients: a large cross-sectional study

Background

Hypertension stands as the leading single contributor to the worldwide burden of mortality and disability. Limited evidence exists regarding the association between the combined healthy lifestyle score (HLS) and hypertension control in both treated and untreated hypertensive individuals. Therefore, we aimed to investigate the association between HLS and hypertension control among adults with treated and untreated hypertension.

Methods

This cross-sectional study, including 311,994 hypertension patients, was conducted in Guangzhou using data from the National Basic Public Health Services Projects in China. The HLS was defined based on five low-risk lifestyle factors: healthy dietary habits, active physical activity, normal body mass index, never smoking, and no alcohol consumption. Controlled blood pressure was defined as systolic blood pressure <140 mmHg and diastolic blood pressure <90 mmHg. A multivariable logistic regression model was used to assess the association between HLS and hypertension control after adjusting for various confounders.

Results

The HLS demonstrated an inverse association with hypertension control among hypertensive patients. In comparison to the low HLS group (scored 0-2), the adjusted odds ratios (95% confidence intervals) for hypertension were 0.76 (0.74, 0.78), 0.59 (0.57, 0.60), and 0.48 (0.46, 0.49) for the HLS groups scoring 3, 4, and 5, respectively (Ptrend < 0.001). Notably, an interaction was observed between HLS and antihypertensive medication in relation to hypertension control (Pinteraction < 0.001). When comparing the highest HLS (scored 5) with the lowest HLS (scored 0-2), adjusted odds ratios (95% confidence intervals) were 0.50 (0.48, 0.52, Ptrend < 0.001) among individuals who self-reported using antihypertensive medication and 0.41 (0.38, 0.44, Ptrend < 0.001) among those not using such medication. Hypertensive patients adhering to a healthy lifestyle without medication exhibited better blood pressure management than those using medication while following a healthy lifestyle.

Conclusion

HLS was associated with a reduced risk of uncontrolled blood pressure.

Type 2 Diabetes Family History as a Significant Index on the Clinical Heterogeneity Differentiation in Type 1 Diabetes

CONTEXT

Family history of type 2 diabetes (T2D) is an important but neglected parameter; however, its role in identifying the heterogeneity and subtypes of type 1 diabetes (T1D) remains unclear.

OBJECTIVE

We investigated the effect of family history of T2D on the clinical phenotype of T1D patients and evaluated its value in T1D classification.

METHODS

A total of 1410 T1D patients were enrolled in this prospective study. Information on family history of T2D in first-degree relatives (FDRs) was collected by research nurses using a semi-structured questionnaire as previously described. The effect of family history of T2D on clinical characteristics was evaluated in overall and subgroups of T1D patients stratified by islet autoantibodies, onset age, and human leukocyte antigen (HLA) genotype. Cluster analysis was performed to identify family history of T2D-related subgroups.

RESULTS

A total of 10% (141/1410) of patients had at least 1 FDR diagnosed with T2D. A milder phenotype associated with family history of T2D was present in overall T1D patients, including older onset age (P < .001), higher body mass index (P < .001), higher fasting and postprandial C-peptide levels (all P < .01), lower positive rates of all islet autoantibodies, and susceptible HLA genotypes (all P < .05). Clinical heterogeneity associated with family history of T2D in the T1D subgroup stratified by autoimmunity, age of onset, and HLA genotypes was consistent. Using family history of T2D as a cluster variable, T1D patients were divided into 5 clusters, and patients in the T2D family history cluster displayed a milder phenotype than others.

CONCLUSION

Family history of T2D should be considered as an important indicator for precise subclassification of T1D patients based on clinical heterogeneity.

Genetic risk scores: are they important for diabetes management? results from multiple cross-sectional studies

BACKGROUND

Several genetic risk scores (GRS) for type 2 diabetes (T2DM) have been published, but not replicated. We aimed to 1) replicate previous findings on the association between GRS on prevalence of T2DM and 2) assess the association between GRS and T2DM management in a sample of community-dwelling people from Switzerland.

METHODS

Four waves from a prospective study conducted in Lausanne. Seven GRS related to T2DM were selected, and compared between participants with and without T2DM, and between controlled and uncontrolled participants treated for T2DM.

RESULTS

Data from 5426, 4017, 2873 and 2170 participants from the baseline, first, second and third follow-ups, respectively, was used. In all study periods, participants with T2DM scored higher than participants without T2DM in six out of seven GRS. Data from 367, 437, 285 and 207 participants with T2DM was used. In all study periods, approximately half of participants treated for T2DM did not achieve adequate fasting blood glucose or HbA1c levels, and no difference between controlled and uncontrolled participants was found for all seven GRS. Power analyses showed that most GRS needed a sample size above 1000 to consider the difference between controlled and uncontrolled participants as statistically significant at p = 0.05.

CONCLUSION

In this study, we confirmed the association between most published GRS and diabetes. Conversely, no consistent association between GRS and diabetes control was found. Use of GRS to manage patients with T2DM in clinical practice is not justified.

Impact of healthy lifestyle on the risk of type 2 diabetes mellitus in southwest China: A prospective cohort study

AIMS

To explore the influence of nine healthy lifestyle factors on the risk of type 2 diabetes mellitus in adults in Guizhou, China.

METHODS

Data were obtained from a large population-based prospective cohort study in Guizhou Province, China. A total of 7,319 participants aged ≥18 years without diabetes at baseline were included in this study and were followed up from 2016 to 2020. A healthy lifestyle score was calculated based on the number of healthy lifestyle factors.

RESULTS

During an average of 7.1 person-years of follow-up, 764 participants were diagnosed with type 2 diabetes mellitus. Compared with those of participants who scored 0-3 for a healthy lifestyle, the hazard ratios (95% confidence intervals) of those who scored 4, 5, 6, and ≥7 were 0.676 (0.523-0.874), 0.599 (0.464-0.773), 0.512 (0.390-0.673), and 0.393 (0.282-0.550), respectively, showing a gradual downward trend (P for trend <0.01). More importantly, they had lower fasting and 2 h post-load plasma glucose levels and fewer changes in plasma glucose levels during follow-up. If ≥7 healthy lifestyle factors were maintained, 33.8% of incident diabetes cases could have been prevented. Never smoking was the strongest protective factor against type 2 diabetes mellitus.

CONCLUSIONS

A healthy lifestyle can effectively decrease plasma glucose levels and reduce the incidence of type 2 diabetes mellitus in adults in Guizhou, China. In addition, not smoking may be an effective way to prevent type 2 diabetes mellitus.