Integrated analysis of long non‑coding RNA megacluster, microRNA‑132 and microRNA‑133a and their implications for cardiovascular risk and kidney failure progression in diabetic patients

Inefficient control of elevated blood sugar levels can lead to certain health complications such as diabetic nephropathy (DN) and cardiovascular disease (CVD). The identification of effective biomarkers for monitoring diabetes was performed in the present study. The present study aimed to investigate the implications of long non-coding RNA megacluster (lnc-MGC), microRNA (miR)-132 and miR-133a, and their correlation with lactate dehydrogenase (LDH) activity and glycated hemoglobin (HbA1C) levels to identify biomarkers for the early diagnosis of diabetes mellitus, induced DN and CVD. The present study included a total of 200 patients with type 2 diabetes, as well as 40 healthy subjects as controls. The diabetic patients were classified into six groups based on their estimated HbA1c level, glomerular filtration rate and LDH activity, while the healthy controls constituted the seventh group. Diabetic patients exhibited significant increases in parameters related to diabetes as fasting blood sugar, HbA1c levels, cardiac injury and kidney failure. Furthermore, the expression levels of TNF-α were significantly increased in the diabetic groups compared with healthy controls. Diabetic patients with cardiovascular dysfunction showed significantly increased expression levels of miR-132, miR-133a and lnc-MGC, compared with the healthy group. The expression of circulating miR-132 in blood was low in the groups of diabetic patients compared with the healthy controls, and demonstrated a negative correlation with LDH and HbA1C levels. Expression levels of miR-132, miR-133a and lnc-MGC, along with their correlations with LDH and HbA1C levels, could be used to distinguish diabetic patients with reduced CVD from those at early stage diabetes, which indicated their potential as biomarkers for CV complications associated with diabetes mellitus in the future.

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Publication Details

Journal
Experimental and Therapeutic Medicine
Published
2024-12-18
DOI
https://doi.org/10.3892/etm.2024.12785
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.29

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article

Integrated analysis of long non‑coding RNA megacluster, microRNA‑132 and microRNA‑133a and their implications for cardiovascular risk and kidney failure progression in diabetic patients

Abdul Malik, Nabil A. Hasona, Adel Abdel‐Moneim, Ahmed Hosni et al.
1 citations
Experimental and Therapeutic Medicine
Cancer-related molecular mechanisms research
0.29
article

Integrated analysis of long non‑coding RNA megacluster, microRNA‑132 and microRNA‑133a and their implications for cardiovascular risk and kidney failure progression in diabetic patients

Abdul Malik, Nabil A. Hasona, Adel Abdel‐Moneim, Ahmed Hosni, Mohamed Y. Zaky, Gehad AbdElgayed
article en
1 citations

Abstract

Inefficient control of elevated blood sugar levels can lead to certain health complications such as diabetic nephropathy (DN) and cardiovascular disease (CVD). The identification of effective biomarkers for monitoring diabetes was performed in the present study. The present study aimed to investigate the implications of long non-coding RNA megacluster (lnc-MGC), microRNA (miR)-132 and miR-133a, and their correlation with lactate dehydrogenase (LDH) activity and glycated hemoglobin (HbA1C) levels to identify biomarkers for the early diagnosis of diabetes mellitus, induced DN and CVD. The present study included a total of 200 patients with type 2 diabetes, as well as 40 healthy subjects as controls. The diabetic patients were classified into six groups based on their estimated HbA1c level, glomerular filtration rate and LDH activity, while the healthy controls constituted the seventh group. Diabetic patients exhibited significant increases in parameters related to diabetes as fasting blood sugar, HbA1c levels, cardiac injury and kidney failure. Furthermore, the expression levels of TNF-α were significantly increased in the diabetic groups compared with healthy controls. Diabetic patients with cardiovascular dysfunction showed significantly increased expression levels of miR-132, miR-133a and lnc-MGC, compared with the healthy group. The expression of circulating miR-132 in blood was low in the groups of diabetic patients compared with the healthy controls, and demonstrated a negative correlation with LDH and HbA1C levels. Expression levels of miR-132, miR-133a and lnc-MGC, along with their correlations with LDH and HbA1C levels, could be used to distinguish diabetic patients with reduced CVD from those at early stage diabetes, which indicated their potential as biomarkers for CV complications associated with diabetes mellitus in the future.

Experimental and Therapeutic MedicineVol. 29(2)
Beni-Suef University (EG), King Saud University (SA), UPMC Hillman Cancer Center (US), University of Pittsburgh Medical Center (US)
King Saud University
Good health and well-being
Openalex Percentile: Top 37%
Cancer-related molecular mechanisms research
0.29
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