ArticleIndian journal of clinical biochemistry : IJCB2024
Osteocalcin, miR-143, and miR-145 Expression in Long-Standing Type 1 Diabetes Mellitus and Their Correlation with HbA1c.
Article in Indian journal of clinical biochemistry : IJCB, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Crosstalk Between Long Non-coding RNA MALAT1, miRNA-181a, and IL-17 in Cirrhotic Patients and Their Possible Correlation SIRT1/NF-Ƙβ Axis.Indian journal of clinical biochemistry : IJCB · 2025Article
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8 authors.
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Abstract
Inadequate management and control of hyperglycemia predisposes diabetic patients to a wide range of complications. Thus, this opens new windows for exploring and scrutinizing novel candidate biomarkers. This study was designed to scrutinize the relationship between HbA1c, osteocalcin, calcium, phosphorus, and expression levels of miR-143 and miR-145 in individuals with T1DM and explore their correlations and diagnostic potential for T1DM. 120 unrelated participants were included (i.e., 90 participants with type 1 diabetes mellitus and 30 healthy controls) and were allocated into two groups. Participants with T1DM were allocated into three subgroups (i.e., below 1 year, 1-8 years, and over 8 years) based on diabetic duration. Participants with T1DM experienced noticeable HbA1c elevation. However, osteocalcin, phosphorus, and calcium profiles notably declined in participants with diabetes compared with those in healthy controls. Moreover, the expression levels of miR-143 and miR-145 decreased in participants with diabetes with a significant difference between participants with diabetes and healthy controls. Additionally, significant alterations in HbA1c, osteocalcin, phosphorus, and calcium profiles and expression levels of miR-143 and miR-145 were observed with increasing diabetic duration (T1DM > 8 years compared with those with a diabetes duration of less than 1 year). This study suggests that miR-143 and miR-145 are prospective biomarkers of diabetes mellitus, which may help predict the progression of complications.
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