Impact of sarcosine on diabetic retinopathy: Findings based on weighted gene co‐expression network analysis and machine learning techniques
Main finding · DR per IQR elevation of sarcosineResult — go to the resultAdjusted odds ratio 0.33 95% CI 0.19–0.58Authors' conclusion
Serum sarcosine was inversely related to DR, especially in T2D patients with insufficient HDL-C. This study provides insights on a possible novel target for DR precision prevention and control, as well as a better understanding of the DR mechanism.
Study context
- Population
- T2D patients with and without diabetic retinopathy (DR) matched by age, gender, BMI and HbA1c69 matched pairs
- Participants
- 69 vs 69
- Comparison
- Serum sarcosine levels in T2D with vs without DR
- DRn = 69
- No DRn = 69reference
- Outcome
- Association between serum sarcosine and DR
Methodological detailspropensity score matching, WGCNA, machine learning
- Propensity score matching
- WGCNA
- Machine learning
Main finding
DR per IQR elevation of sarcosine
Adjusted odds ratio
0.33
95% CI 0.19–0.58
Per IQR elevation of sarcosine
aOR 0.33 (95% CI 0.19–0.58)
Per IQR elevation of sarcosine, as printed
As reported in the abstract
Observational data: associations, not effects.
Further findings
| Outcome | Estimate | |
|---|---|---|
| DR by sarcosine tertileSecond tertilevs First tertileDecreased by 54% | aOR 0.46 (95% CI 0.18–1.17) | |
| DR by sarcosine tertileThird tertilevs First tertileDecreased by 78% | aOR 0.22 (95% CI 0.08–0.59) | |
| DR, joint effect of sarcosine and HDL-CHigher sarcosine and lower HDL-Cvs Lower sarcosine and lower HDL-CLowest odds of DR | OR 0.13 (95% CI 0.04–0.43) | |
| 0.050.21520Ratio (log scale) |
Original publication
Impact of sarcosine on diabetic retinopathy: Findings based on weighted gene co‐expression network analysis and machine learning techniques. Diabetes Obes Metab. Published 22 August 2023. doi:10.
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