Dear Editor,
I read with great interest the article by Luo et al., ‘Associations between peripheral blood mitochondrial genomic variants and gestational diabetes mellitus and postpartum abnormal glucose metabolism’ 1 . The authors are to be commended for exploring the relatively underinvestigated role of mitochondrial genomic variation in gestational diabetes mellitus (GDM). Their large sample size and combined analysis of genetic variants and copy number are clear strengths.
However, addressing certain methodological considerations could further strengthen the robustness of the study findings. First, the case–control design, as an observational study, restricts causal inference. The associations observed between mtDNA variants and GDM may reflect secondary effects of pregnancy‐related metabolic stress rather than primary causes 2 .
Second, the study was limited to a single Chinese cohort. Because mitochondrial haplogroup distribution differs across ethnic groups, the generalizability of the findings to other populations may be limited 3 .
Furthermore, the analysis focused largely on the mtDNA D‐loop, without a comprehensive evaluation of heteroplasmy or coding region variants. Heteroplasmy, in particular, can significantly influence mitochondrial function, and overlooking it may provide an incomplete picture 4 .
In conclusion, Luo et al. have made an important contribution linking mitochondrial variation to GDM, and their findings open promising avenues for future research. Future studies incorporating longitudinal follow‐up, multi‐ethnic cohorts, and full mitochondrial genome sequencing with functional validation would be valuable to advance understanding in this field.
FUNDING
None.
DISCLOSURE
The authors declare no conflict of interest.
Approval of the research protocol: None.
Informed consent: None.
Registry and registration no. of the study/trial: None.
Animal studies: None.
ACKNOWLEDGMENTS
None.
DATA AVAILABILITY STATEMENT
Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.
REFERENCES
- 1. Luo S, Zhang Y, Zhang R, et al. Associations between peripheral blood mitochondrial genomic variants and gestational diabetes mellitus and postpartum abnormal glucose metabolism. J Diabetes Investig 2025; 16: 12–23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Vandenbroucke JP, Pearce N. Case–control studies: basic concepts. Int J Epidemiol 2012; 41: 1480–1489. [DOI] [PubMed] [Google Scholar]
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- 4. Parakatselaki ME, Ladoukakis ED. mtDNA heteroplasmy: Origin, detection, significance, and evolutionary consequences. Life (Basel) 2021; 11: 633. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
Data sharing is not applicable to this article as no datasets were generated or analyzed during the current study.