Sitagliptin's Effect on MALAT1 in T2DM Patients Experiencing Diastolic Failure of the Left Ventricle

Background: Patients with type 2 diabetes may develop cardiovascular disease (CVD) without experiencing or recognizing the characteristic signs and symptoms.Diastolic dysfunction is present in 40% of individuals diagnosed with diabetes and is associated with inadequate glycemic management.The MALAT1 coding gene is situated on the short arm of human chromosome 11q13.1,and its transcript spans around 8 kilo bites.MALAT1 has substantial involvement in the pathophysiological process.It performs the roles of an innovative biomarker and target of therapy for the diagnosis, treatment, and prognosis of diabetes-related conditions.The expression of MALAT1 is much higher in the heart tissue of rats with diabetes mellitus (DM), and inhibiting MALAT1 improves cardiac function.Objective: To clarify the role of sitagliptin in left ventricular diastolic dysfunction in T2DM and investigate its potential impact on epigenetic modulation (lnRNA MALAT1) and the inflammatory process. Materials and Methods:This study is an observational cross-sectional descriptive study conducted at a single center.Sixty individuals with type 2 diabetes mellitus and left ventricular diastolic dysfunction in total were recruited from AL-Diwaniyah Teaching Hospital and the Department of Pharmacology and Therapeutics, Faculty of Medicine, University of Al-Qadisiyah, Iraq, under the supervision of a specialist cardiologist.The Trizol reagent (Genaid, Korea) was used to extract the total RNA, and the concentration of RNA was subsequently determined.The primer amplification was carried out in accordance with the manufacturer's instructions for the AddScript RT-qPCR Syber master (AddBio, Korea).Results: study results indicate a significant downregulation of MALAT1 in the sitagliptin-treated group (P<0.0001)compared to metformin treatment.This was analyzed by GraphPad Prizm software (version 8.4.3). Conclusion and recommendation:The present study's findings indicate that the expression of MALAT1 is notably increased in the cardiac tissue of individuals with diabetes.Additionally, reducing the expression of MALAT1 is linked to an enhancement in the functioning of the left ventricle, partially due to a decrease in programmed cell death of heart muscle cells.Hence, suppressing MALAT1 could be a promising therapeutic approach for managing cardiac dysfunction associated with diabetes.

Authors

Publication Details

Journal
Annals of the College of Medicine Mosul/Annals of the College of Medecine
Published
2024-12-01
DOI
https://doi.org/10.33899/mmed.2024.151105.1274
Primary Topic
Cardiovascular Function and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sitagliptin's Effect on MALAT1 in T2DM Patients Experiencing Diastolic Failure of the Left Ventricle

Bassim I. Mohammad, Asawer Abdulkadhiam
1 links
Annals of the College of Medicine Mosul/Annals of the College of Medecine
Cardiovascular Function and Risk Factors
article

Sitagliptin's Effect on MALAT1 in T2DM Patients Experiencing Diastolic Failure of the Left Ventricle

Bassim I. Mohammad, Asawer Abdulkadhiam
article en

Abstract

Background: Patients with type 2 diabetes may develop cardiovascular disease (CVD) without experiencing or recognizing the characteristic signs and symptoms.Diastolic dysfunction is present in 40% of individuals diagnosed with diabetes and is associated with inadequate glycemic management.The MALAT1 coding gene is situated on the short arm of human chromosome 11q13.1,and its transcript spans around 8 kilo bites.MALAT1 has substantial involvement in the pathophysiological process.It performs the roles of an innovative biomarker and target of therapy for the diagnosis, treatment, and prognosis of diabetes-related conditions.The expression of MALAT1 is much higher in the heart tissue of rats with diabetes mellitus (DM), and inhibiting MALAT1 improves cardiac function.Objective: To clarify the role of sitagliptin in left ventricular diastolic dysfunction in T2DM and investigate its potential impact on epigenetic modulation (lnRNA MALAT1) and the inflammatory process. Materials and Methods:This study is an observational cross-sectional descriptive study conducted at a single center.Sixty individuals with type 2 diabetes mellitus and left ventricular diastolic dysfunction in total were recruited from AL-Diwaniyah Teaching Hospital and the Department of Pharmacology and Therapeutics, Faculty of Medicine, University of Al-Qadisiyah, Iraq, under the supervision of a specialist cardiologist.The Trizol reagent (Genaid, Korea) was used to extract the total RNA, and the concentration of RNA was subsequently determined.The primer amplification was carried out in accordance with the manufacturer's instructions for the AddScript RT-qPCR Syber master (AddBio, Korea).Results: study results indicate a significant downregulation of MALAT1 in the sitagliptin-treated group (P<0.0001)compared to metformin treatment.This was analyzed by GraphPad Prizm software (version 8.4.3). Conclusion and recommendation:The present study's findings indicate that the expression of MALAT1 is notably increased in the cardiac tissue of individuals with diabetes.Additionally, reducing the expression of MALAT1 is linked to an enhancement in the functioning of the left ventricle, partially due to a decrease in programmed cell death of heart muscle cells.Hence, suppressing MALAT1 could be a promising therapeutic approach for managing cardiac dysfunction associated with diabetes.

Annals of the College of Medicine Mosul/Annals of the College of MedecineVol. 46(2)
Good health and well-being
Openalex Percentile: Top 58%
Cardiovascular Function and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.