Evidence map›Paper›PMID 41377121›Full record

ArticleComputational and structural biotechnology journal2025

Low-calorie diet intervention ameliorates gut microbiota dysbiosis and metabolic changes in obese patients with type 2 diabetes under standard care.

Mongkontida Umphonsathien, Pornsawan Prutanopajai, Thanya Cheibchalard, Naraporn Somboonna

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

4 authors.

Mongkontida UmphonsathienDivision of Endocrinology and Metabolism, Department of Medicine Police General Hospital, Bangkok 10330, Thailand.
Pornsawan PrutanopajaiDepartment of Executive and Research Office, BDMS Wellness Clinic, Bangkok 10330, Thailand.
Thanya CheibchalardDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.
Naraporn SomboonnaDepartment of Microbiology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dietary interventions can modulate the gut bacteria community (microbiota) and offer a complementary strategy for improving metabolic control in type 2 diabetes (T2D). This pilot study evaluated clinical clinical outcomes and gut microbiota changes following a structured low-calorie diet (LCD) intervention in obese T2D individuals under standard care. Methods: Twenty obese T2D patients were randomized into an intervention group (n = 15) (6-week 1000-1200 kcal/day of glycemic and metabolic control LCD), or a matched control group (n = 5). Clinical parameters and fecal microbiota profiles were assessed at baseline, week 6, and week 12. Results: The intervention group showed clinical trends toward improved glycemic and metabolic parameters, including reductions in fasting plasma glucose (FPG), hemoglobin A1c (HbA1c), and lipid levels (i.e., cholesterol) ( Conclusion: A structured LCD combined with standard care led to metabolic improvement and remodeling of gut microbiota trend in obese Thai individuals with T2D. The findings support the dietary interventions to beneficially modulate the gut microbiome and metabolic health, while highlighting the need for larger studies and functional validation.

Indexed as

BacteriaFecesGut microbiotaLow-calorie dietMicrobiomeObesityType 2 diabetes

Identifiers

PMID41377121
PMCPMC12686632

What Socratic holds

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LicenceCC BY
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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 Socratic graph.