Evidence map›Paper›PMID 33116722›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Assessment of Cell-Free Long Non-Coding RNA-H19 and miRNA-29a, miRNA-29b Expression and Severity of Diabetes.

Mohammed Alfaifi, Amit Kumar Verma, Mohammad Yahya Alshahrani, Prakash C Joshi, Ali G Alkhathami, Irfan Ahmad, Abdulrahim Refdan Hakami, Mirza Masroor Ali Beg

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Mohammed Alfaifi *Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Amit Kumar Verma *Department of Zoology and Environmental Sciences, GKV, Haridwar, India.
Mohammad Yahya AlshahraniDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Prakash C JoshiDepartment of Zoology and Environmental Sciences, GKV, Haridwar, India.ORCID 0000-0001-6762-8327
Ali G AlkhathamiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Irfan AhmadDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Abdulrahim Refdan HakamiDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Mirza Masroor Ali BegDepartment of Medical Elementology and Toxicology, Jamia Hamdard, New Delhi, India.ORCID 0000-0002-4519-721X
King Khalid University · SAGurukul Kangri Vishwavidyalaya · INJamia Hamdard · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes mellitus [T2DM] has been one of the common diseases and is characterized by increased blood glucose levels and suggested that cell-free non-coding RNAs and microRNAs (miRNAs) have been demonstrated to serve as important diagnostic/prognostic biomarkers in diabetes. MATERIALS/

methodsThe present study included clinically confirmed newly diagnosed 200 cases of T2DM and 200 healthy subjects, and all the parameters were taken care in diagnosis. Blood samples collected in plain vials were used for cell-free total RNA extraction and after that 100ng of total RNA was used to synthesize the cDNA for cell-free lncRNA H19, miRNA-29a, and miRNA-29b expression using quantitative real-time PCR method. Serum Biochemical parameters were analyzed after collection of the sample to observe the changes among T2DM cases and healthy controls.

resultsIt was observed that type 2 diabetic patients had decreased [0.59 fold] lncRNA H19 expression while increased miRNA-29a [5.62 fold] and miRNA-29b [5.58 fold] expression. Decreased expression of lncRNA H19 was observed to be associated with gender [p=0.004], hypertension [p<0.0001], weight loss [p=0.02] and fatigue [p=0.02]. Increased miRNA29a expression was linked with hypertension [p<0.0001], alcoholism [p=0.04], and smoking [p<0.0001] as well as miRNA-29b expression was associated with hypertension [p=0.0001], weight loss [p=0.002], smoking [p=0.0002], alcoholism [p<0.0001]. Low [≤1 fold] and high [>1 fold] expression of lncRNA H19 expression was linked with miRNA-29a [p=0.005] and miRNA-29b [p<0.0001] expression. lncRNA H19 expression showed negative correlation with miRNA-29a expression [r= -27, p<0.0001] and miRNA-29b [r= -47, p<0.0001].

conclusionThe present study concluded that lower lncRNA H19 expression, and increased miRNA-29b, a miRNA-29b expression associated with the severity of T2DM patients. Decreased lncRNA H19 expression, and increased miRNA-29b, miRNA-29b expression observed to be interrelated with clinicopathological findings of T2DM patients could involve in pathogenesis disease.

Indexed as

cell-free systemdiabetesgene expressionlncRNAmicroRNA

Identifiers

PMID33116722
PMCPMC7569053
OpenAlexW3093352392

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.