Early Prediction for Prediabetes and Type 2 Diabetes Using the Genetic Risk Score and Oxidative Stress Score

Huang, Xiucai; Han, Youngmin; Jang, Kyunghye; Kim, Min‐Joo

doi:10.3390/antiox11061196

Cited by 7 publications

(2 citation statements)

References 60 publications

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“…MOTSc, and GSH/GSSG as well as IL-1β were significant for the transition from control to preDM, agreeing with previous research 77 . For the transition from preDM to T2DM GSH/GSSG, MOTSc, and 8-isoprostane were significant and highlighting the importance of mitochondrial involvement 78 . When the control group was compared to the T2DM group, IL-6 appeared in the model as an inflammatory marker 79 in addition to.…”

Section: Discussionmentioning

confidence: 93%

Comparative Analysis of Biomarkers in Type 2 Diabetes Patients with and without Comorbidities: Insights into the Role of Hypertension and Cardiovascular Disease

Savvopoulos,

Hatzikirou,

Jelinek

2024

Preprint

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Background: Type 2 diabetes mellitus (T2DM) are 90% of diabetes cases, and its prevalence and incidence, including comorbidities, are rising worldwide. Clinically, diabetes and associated comorbidities are identified by biochemical and physical characteristics including glycaemia, glycated hemoglobin (HbA1c), and tests for cardiovascular, eye and kidney disease. Objectives: Diabetes may have a common etiology based on inflammation and oxidative stress that may provide additional information about disease progression and treatment options. Thus, identifying high-risk individuals can delay or prevent diabetes and its complications. Design: In patients with or without hypertension and cardiovascular disease, as part of progression from no diabetes to T2DM, this research studied the changes in biomarkers between control and prediabetes, prediabetes to T2DM, and control to T2DM, and classified patients based on first-attendance data. Control patients and patients with hypertension, cardiovascular, and with both hypertension and cardiovascular diseases are 156, 148, 61, and 216, respectively. Methods: Linear discriminant analysis is used for classification method and feature importance, This study examined the relationship between Humanin and mitochondrial protein (MOTSc), mitochondrial peptides associated with oxidative stress, diabetes progression, and associated complications. Results: MOTSc, reduced glutathione and glutathione disulfide ratio (GSH/GSSG), interleukin-1beta (IL-1beta), and 8-isoprostane were significant (p<0.05) for the transition from prediabetes to T2DM, highlighting the importance of mitochondrial involvement. Complement component 5a (C5a) is a biomarker associated with disease progression and comorbidities, with GSH/GSSG, monocyte chemoattractant protein-1 (MCP-1), and 8-isoprostane being the most important biomarkers. Conclusions: Comorbidities affect the hypothesized biomarkers as diabetes progresses. Mitochondrial oxidative stress indicators, coagulation, and inflammatory markers help assess diabetes disease development and provide appropriate medications. Future studies will examine longitudinal biomarker evolution.

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Section: Discussionmentioning

confidence: 93%

Comparative Analysis of Biomarkers in Type 2 Diabetes Patients with and without Comorbidities: Insights into the Role of Hypertension and Cardiovascular Disease

Savvopoulos,

Hatzikirou,

Jelinek

2024

Preprint

View full text Add to dashboard Cite

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“…Prediabetes, de ned based on glycemic parameters above NGT but below the diabetes threshold, is a high-risk condition for diabetes with an annualized conversion rate of 5-10% 22 . Previous studies have shown that T2DM PRS is associated with prediabetes 23,24 . However, no study showed that T2DM PRS predicts the progression from prediabetes to T2DM.…”

Section: Discussionmentioning

confidence: 96%

The Clinical relevance of Polygenic Risk Scores to Type 2 Diabetes Mellitus in Korean Population

Kim

Lee

Kim

et al. 2023

Preprint

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The potential clinical utility of type 2 diabetes mellitus (T2DM) polygenic risk scores (PRS) is not thoroughly evaluated in the East Asian population. We aimed to assess whether T2DM PRS could have prognostic value and be used as a clinical instrument. We constructed T2DM PRS for Korean individuals using large East Asian Biobank data with samples of 269,487 and evaluated the PRS in a prospective longitudinal study of Korean with 5490 samples with baseline and additional seven follow-ups. Our analysis demonstrated that T2DM PRS could predict not only the progress from non-diabetes to T2DM, but also normal glucose tolerance to prediabetes and prediabetes to T2DM. Moreover, T2DM patients in the top decile PRS group were more likely to be treated with insulin with HR = 1.69 (p-value = 2.31E-02) than the remaining PRS groups. T2DM PRS was significantly high in severe diabetic subgroups with insulin resistance and $\beta$-cell dysfunction (p-value = 0.0012). PRS could modestly improve the prediction accuracy of the Harrel’s C-index by 9.88% (p-value < 0.001) in T2DM prediction models. By utilizing prospective longitudinal study data and extensive clinical risk factors, our analysis provides insights into the clinical utility of the T2DM PRS.

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The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population

Kim,

Lee,

Kim

et al. 2024

Sci Rep

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The clinical utility of a type 2 diabetes mellitus (T2DM) polygenic risk score (PRS) in the East Asian population remains underexplored. We aimed to examine the potential prognostic value of a T2DM PRS and assess its viability as a clinical instrument. We first established a T2DM PRS for 5490 Korean individuals using East Asian Biobank data (269,487 samples). Subsequently, we assessed the predictive capability of this T2DM PRS in a prospective longitudinal study with baseline data and data from seven additional follow-ups. Our analysis showed that the T2DM PRS could predict the transition of glucose tolerance stages from normal glucose tolerance to prediabetes and from prediabetes to T2DM. Moreover, T2DM patients in the top-decile PRS group were more likely to be treated with insulin (hazard ratio = 1.69, p value = 2.31E−02) than were those in the remaining PRS groups. T2DM PRS values were significantly high in the severe diabetes subgroup, characterized by insulin resistance and $$\beta$$ β -cell dysfunction (p value = 0.0012). The prediction models with the T2DM PRS had significantly greater Harrel’s C-indices than did corresponding models without it. By utilizing prospective longitudinal study data and extensive clinical risk factor information, our analysis provides valuable insights into the multifaceted clinical utility of the T2DM PRS.

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Early Prediction for Prediabetes and Type 2 Diabetes Using the Genetic Risk Score and Oxidative Stress Score

Cited by 7 publications

References 60 publications

Comparative Analysis of Biomarkers in Type 2 Diabetes Patients with and without Comorbidities: Insights into the Role of Hypertension and Cardiovascular Disease

Comparative Analysis of Biomarkers in Type 2 Diabetes Patients with and without Comorbidities: Insights into the Role of Hypertension and Cardiovascular Disease

The Clinical relevance of Polygenic Risk Scores to Type 2 Diabetes Mellitus in Korean Population

The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population

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