Evidence map›Paper›PMID 39610478›Full record

ArticleJournal of diabetes and metabolic disorders2024

Impact of

Reza Moazzami, Mohammad Yahya Vahidi Mehrjardi, Ali Miri

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Reza MoazzamiHuman Genetics Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Mohammad Yahya Vahidi MehrjardiDiabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Ali MiriHuman Genetics Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: : Metformin, an oral hypoglycemic agent, is generally used as the first-line treatment in type 2 diabetes mellitus (T2DM) patients. The response to metformin varies between patients, and its mechanisms remain incompletely understood. Genetic variations in proteins involved in the pharmacodynamics and pharmacokinetics of metformin, like OCT1 transporter, are suspected to explain this difference. This study investigated the association of the response to metformin in T2DM patients with the presence of rs12208357 (R61C) variant in the Materials and methods: We selected 100 patients who responded and 100 patients who did not respond to metformin monotherapy after 20 weeks according to their HbA1c level change. We investigated the effect of rs12208357 on the structure, function, and stability of OCT1 protein and its interaction with metformin by in silico tools. To determine the genotype of rs12208357 we used the ARMS-PCR technique. Results: The in silico study indicated that rs12208357 probably changes OCT1 stability, function, interaction site, and binding energy to metformin in the extracellular domain. ARMS-PCR also showed the frequency of T and C alleles were significantly different between responders and non-responders ( Conclusion: Based on the in silico study and ARMS-PCR experiment results, the CC genotype has a better response to metformin therapy and the carrier of the T allele (CT and TT genotype) probably has complications in glycemic control by metformin.

Indexed as

Diabetes mellitusGenetic variationGlycemic controlMetforminOrganic cation transporter 1

Identifiers

PMID39610478
PMCPMC11599672

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.