Evidence map›Paper›PMID 39104712›Full record

ArticleNon-coding RNA research2024

Evaluation of circulating plasma miR-9, miR-29a, miR-192, and miR-375 as potential biomarkers for predicting prediabetes and type 2 diabetes in Nepali adult population.

Daya Ram Pokharel, Abhishek Maskey, Ramchandra Kafle, Ashim Batajoo, Prajwal Dahal, Roji Raut, Shailesh Adhikari, Binod Manandhar, Krishna Das Manandhar

Abstract read
In one paragraph

Article in Non-coding RNA research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Observational
  2. Review
  3. The miRNomics of antiretroviral therapy-induced obesity.Functional & integrative genomics · 2025
    Review
  4. Characterizing Circulating microRNA Signatures of Type 2 Diabetes Subtypes.International journal of molecular sciences · 2025
    Article
  5. Article
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

9 authors.

Daya Ram PokharelDepartment of Biochemistry, Manipal College of Medical Sciences, Pokhara-16, Kaski, Nepal.
Abhishek MaskeyDepartment of Medicine, Manipal Teaching Hospital, Pokhara-11, Kaski, Nepal.
Ramchandra KafleDepartment of Medicine, Manipal Teaching Hospital, Pokhara-11, Kaski, Nepal.
Ashim BatajooDepartment of Medicine, Manipal Teaching Hospital, Pokhara-11, Kaski, Nepal.
Prajwal DahalDepartment of Medicine, Manipal Teaching Hospital, Pokhara-11, Kaski, Nepal.
Roji RautCentral Department of Biotechnology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Shailesh AdhikariCentral Department of Biotechnology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.
Binod ManandharDepartment of Mathematical Sciences, Clark Atlanta University, Atlanta, Georgia.
Krishna Das ManandharCentral Department of Biotechnology, Tribhuvan University, Kirtipur, Kathmandu, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating plasma miRNAs have emerged as potential early predictors of glucometabolic disorders. However, their biomarker potential remains unvalidated in populations with diverse genetic backgrounds, races, and ethnicities. This study aims to validate the biomarker potential of plasma miR-9, miR-29a, miR-192, and miR-375 for early detection of prediabetes and type 2 diabetes mellitus (T2DM) in Nepali populations that represent distinct genetic backgrounds, races, and ethnicities. A total of 46 adults, categorized into healthy controls (n = 25), prediabetes (n = 9), and T2DM (n = 12) groups, were enrolled. Baseline sociodemographic, anthropometric, and clinical characteristics were collected. Fold change in plasma expression of all four miRNAs was quantified using RT-qPCR against the

Indexed as

BiomarkersManipal teaching hospitalmiRNAsNepalRT‒qPCRType 2 diabetes

Identifiers

PMID39104712
PMCPMC11298881

What OpenQuestion holds

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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.