Predictive Value of Serum miRNA-126a and miRNA-130b Levels in Cognitive Impairment among Patients with Diabetes Mellitus Complicated with Acute Stroke

Lingli LIU; Ruoxuan WEI; Wei CHEN; Caixia KONG; Zhihong LIU

doi:10.12259/j.issn.2095-610X.S20251011

Volume 46 Issue 10

Oct. 2025

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Lingli LIU, Ruoxuan WEI, Wei CHEN, Caixia KONG, Zhihong LIU. Predictive Value of Serum miRNA-126a and miRNA-130b Levels in Cognitive Impairment among Patients with Diabetes Mellitus Complicated with Acute Stroke[J]. Journal of Kunming Medical University, 2025, 46(10): 91-96. doi: 10.12259/j.issn.2095-610X.S20251011

Citation:

Lingli LIU, Ruoxuan WEI, Wei CHEN, Caixia KONG, Zhihong LIU. Predictive Value of Serum miRNA-126a and miRNA-130b Levels in Cognitive Impairment among Patients with Diabetes Mellitus Complicated with Acute Stroke[J]. Journal of Kunming Medical University, 2025, 46(10): 91-96. doi: 10.12259/j.issn.2095-610X.S20251011

Citation:

Lingli LIU, Ruoxuan WEI, Wei CHEN, Caixia KONG, Zhihong LIU. Predictive Value of Serum miRNA-126a and miRNA-130b Levels in Cognitive Impairment among Patients with Diabetes Mellitus Complicated with Acute Stroke[J]. Journal of Kunming Medical University, 2025, 46(10): 91-96. doi: 10.12259/j.issn.2095-610X.S20251011

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Predictive Value of Serum miRNA-126a and miRNA-130b Levels in Cognitive Impairment among Patients with Diabetes Mellitus Complicated with Acute Stroke

doi: 10.12259/j.issn.2095-610X.S20251011

1.
Endocrinology Department ，Wuhan First Hospital，Wuhan Hubei 430000
2.
School of Traditional Chinese Medicine，Xinjiang Medical University，Urumqi Xinjiang 830000，China

Received Date: 2025-03-10
Publish Date: 2025-10-28

Abstract

Abstract

Objective To explore the relationship between serum miRNA-126a, miRNA-130b levels and cognitive impairment （CI） in patients with diabetes mellitus （DM） complicated with acute stroke （AS）. Methods A retrospective analysis was conducted on 70 DM patients with AS admitted to Wuhan First Hospital from January 2019 to December 2021. Patients were divided into CI group （41 cases） and non-CI group （29 cases） based on the occurrence of CI. Real-time fluorescence quantitative PCR was used to detect the relative expression levels of miRNA-126a and miRNA-130b in peripheral blood. Results Compared with non-CI group, the CI group showed increased albumin （P < 0.05） and decreased levels of miRNA-126a and miRNA-130b （P < 0.05）. Logistic regression analysis showed that albumin （OR = 19.045, 95%CI = 2.001～181.230）, miRNA-126a（OR = 200.603, 95%CI = 15.663～2569.162）, miRNA-130b （OR = 11.770, 95%CI = 1.966～70.474） were related factors affecting CI occurrence in DM patients with AS. ROC curve analysis showed that peripheral blood miRNA-126a had the highest AUC （0.958） for diagnosing CI in DM patients with AS, with a sensitivity of 97.6% and specificity of 89.7%. The AUC for miRNA-130b （0.669） was lower, with a sensitivity of 73.2% and specificity of 62.1%. Conclusion Decreased expression of peripheral blood miRNA-126a has good diagnostic value for CI in DM patients with AS.
- Diabetes,
- Acute stroke,
- Peripheral blood,
- Cognitive impairment,
- microRNAs

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References(19)

References

[1]	Mosenzon O, Cheng A Y Y, Rabinstein A A, et al. Diabetes and stroke: What are the connections?[J]. J Stroke, 2023, 25(1): 26-38. doi: 10.5853/jos.2022.02306
[2]	Lee K P, Chen J S, Wang C Y. Association between diabetes mellitus and post-stroke cognitive impairment[J]. J Diabetes Investig, 2023, 14(1): 6-11. doi: 10.1111/jdi.13914
[3]	Xue B, Qu Y, Zhang X, et al. miRNA-126a-3p participates in hippocampal memory via Alzheimer’s disease-related proteins[J]. Cerebral Cortex, 2022, 32(21): 4763-4781. doi: 10.1093/cercor/bhab515
[4]	Venkat P, Cui C, Chopp M, et al. MiR-126 mediates brain endothelial cell exosome treatment–induced neurorestorative effects after stroke in type 2 diabetes mellitus mice[J]. Stroke, 2019, 50(10): 2865-2874. doi: 10.1161/STROKEAHA.119.025371
[5]	Qi Z, Liu R, Ju H, et al. microRNA-130b-3p attenuates septic cardiomyopathy by regulating the AMPK/mTOR signaling pathways and directly targeting ACSL4 against ferroptosis[J]. Int J Biol Sci, 2023, 19(13): 4223-4241. doi: 10.7150/ijbs.82287
[6]	Aldous E K, Toor S M, Parray A, et al. Identification of novel circulating miRNAs in patients with acute ischemic stroke[J]. Int J Mol Sci, 2022, 23(6): 3387. doi: 10.3390/ijms23063387
[7]	汪凯, 董强, 郁金泰, 等. 卒中后认知障碍管理专家共识2021[J]. 中国卒中杂志, 2021, 16(4): 376-389. doi: 10.3969/j.issn.1673-5765.2021.04.011
[8]	Maida C D, Daidone M, Pacinella G, et al. Diabetes and ischemic stroke: An old and new relationship an overview of the close interaction between these diseases[J]. Int J Mol Sci, 2022, 23(4): 2397. doi: 10.3390/ijms23042397
[9]	Saceleanu V M, Toader C, Ples H, et al. Integrative approaches in acute ischemic stroke: From symptom recognition to future innovations[J]. Biomedicines, 2023, 11(10): 2617. doi: 10.3390/biomedicines11102617
[10]	Mierzejewski B, Ciemerych M A, Streminska W, et al. miRNA-126a plays important role in myoblast and endothelial cell interaction[J]. Sci Rep, 2023, 13(1): 15046. doi: 10.1038/s41598-023-41626-z
[11]	Yu P, Venkat P, Chopp M, et al. Role of microRNA-126 in vascular cognitive impairment in mice[J]. J Cereb Blood Flow Metab, 2019, 39(12): 2497-2511. doi: 10.1177/0271678X18800593
[12]	Kaundal R K, Datusalia A K, Sharma S S. Posttranscriptional regulation of Nrf2 through miRNAs and their role in Alzheimer's disease[J]. Pharmacol Res, 2022, 175: 106018. doi: 10.1016/j.phrs.2021.106018
[13]	Karuga F F, Jaromirska J, Malicki M, et al. The role of microRNAs in pathophysiology and diagnostics of metabolic complications in obstructive sleep apnea patients[J]. Front Mol Neurosci, 2023, 16: 1208886. doi: 10.3389/fnmol.2023.1208886
[14]	Wu J J, Weng S C, Liang C K, et al. Effects of kidney function, serum albumin and hemoglobin on dementia severity in the oldest old people with newly diagnosed Alzheimer’ s disease in a residential aged care facility: A cross-sectional study[J]. BMC Geriatr, 2020, 20(1): 391. doi: 10.1186/s12877-020-01789-0
[15]	Shen J, Amari N, Zack R, et al. Plasma MIA, CRP, and albumin predict cognitive decline in Parkinson's disease[J]. Ann Neurol, 2022, 92(2): 255-269. doi: 10.1002/ana.26410
[16]	Dimache A M, Șalaru D L, Sascău R, et al. The role of high triglycerides level in predicting cognitive impairment: A review of current evidence[J]. Nutrients, 2021, 13(6): 2118. doi: 10.3390/nu13062118
[17]	Antal B, McMahon L P, Sultan S F, et al. Type 2 diabetes mellitus accelerates brain aging and cognitive decline: Complementary findings from UK Biobank and meta-analyses[J]. eLife, 2022, 11: e73138. doi: 10.7554/eLife.73138
[18]	Chow Y Y, Verdonschot M, McEvoy C T, et al. Associations between depression and cognition, mild cognitive impairment and dementia in persons with diabetes mellitus: A systematic review and meta-analysis[J]. Diabetes Res Clin Pract, 2022, 185: 109227. doi: 10.1016/j.diabres.2022.109227
[19]	Sluiman A J, McLachlan S, Forster R B, et al. Higher baseline inflammatory marker levels predict greater cognitive decline in older people with type 2 diabetes: Year 10 follow-up of the edinburgh type 2 diabetes study[J]. Diabetologia, 2022, 65(3): 467-476. doi: 10.1007/s00125-021-05634-w

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