Evidence mapPaperPMID 40565686Full record

ReviewFoods (Basel, Switzerland)2025

The Impact of Kefir Consumption on Inflammation, Oxidative Stress Status, and Metabolic-Syndrome-Related Parameters in Animal Models: A Systematic Review and Meta-Analysis.

Zahid Naeem Qaisrani, Wai Phyo Lin, Bo Bo Lay, Khin Yadanar Phyo, Myat Mon San, Nurulhusna Awaeloh, Sasithon Aunsorn, Rinrada Pattanayaiying, Susakul Palakawong Na Ayudthaya, Choosit Hongkulsup and 2 more

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Probiotics and Fermented Foods in Human Nutrition.Molecules (Basel, Switzerland) · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. 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

12 authors.

Zahid Naeem QaisraniBiomedical Technology Research Group for Vulnerable Populations and School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0002-3968-9445
Wai Phyo LinBiomedical Technology Research Group for Vulnerable Populations and School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0009-0008-4776-3001
Bo Bo LaySchool of Information Technology, Mae Fah Luang University, Chiang Rai 57100, Thailand.
Khin Yadanar PhyoBiomedical Technology Research Group for Vulnerable Populations and School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0009-0008-4013-8908
Myat Mon SanBiomedical Technology Research Group for Vulnerable Populations and School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.
Nurulhusna AwaelohThai Faculty of Allied Health Science, Nakhon Ratchasima College, Nakhon Ratchasima 30000, Thailand.
Sasithon AunsornBiomedical Technology Research Group for Vulnerable Populations and School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0009-0008-5025-4590
Rinrada PattanayaiyingDepartment of Food Innovation and Professional Chef, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok 10300, Thailand.ORCID 0000-0002-4254-5637
Susakul Palakawong Na AyudthayaThailand Institute of Scientific and Technological Research (TISTR), Pathum Thani 12120, Thailand.ORCID 0000-0001-5761-0094
Choosit HongkulsupDepartment of Food Science and Technology, Faculty of Science and Technology, Suan Sunandha Rajabhat University, Bangkok 10300, Thailand.ORCID 0000-0002-0812-4038
Nirunya BuntinCollege of Innovation and Management, Songkhla Rajabhat University, Songkhla 90000, Thailand.
Sasitorn ChusriBiomedical Technology Research Group for Vulnerable Populations and School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0002-7365-6890

Funding

Government of Thailand C02F660307
6 · The paper itself

Abstract

Metabolic syndrome (MetS) is a complex condition defined by central obesity, insulin resistance, dyslipidemia, and systemic inflammation. Kefir, a fermented beverage rich in probiotics and beneficial compounds, has emerged as a functional food that may offer metabolic advantages. Nevertheless, preclinical results have been variable. This systematic review and meta-analysis aimed to assess the influence of kefir and its derived compositions on parameters associated with MetS, inflammation, and oxidative stress in rodent studies. A comprehensive literature search was conducted in PubMed, Scopus, AMED, and LILACS through June 2024. Eligible studies involving kefir interventions in rodent MetS models were included. Data extraction followed PRISMA guidelines, with the risk of bias assessed using the CAMARADES and SYRCLE tools. Meta-analyses were performed with a random effects model. Thirty-eight studies involving 1462 rodents (mice and rats) were analyzed. Kefir significantly reduced body weight gain in both mice (MD = -3.33; 95% CI: -4.89 to -1.77) and rats (MD = -41.53; 95% CI: -54.33 to -28.72). In mice, triglycerides and LDL-C levels decreased significantly; in rats, kefir lowered total cholesterol and triglycerides. Insulin levels were reduced (MD = -0.69; 95% CI: -1.16 to -0.22), suggesting improved insulin sensitivity. Several studies also reported reductions in TNF-α, IL-1β, and IL-6. Despite promising results, the high heterogeneity and methodological variability emphasize the need for standardized preclinical protocols and clinical validation. These findings support the role of kefir as a functional food for metabolic health promotion.

Indexed as

inflammationkefirmetabolic syndromeoxidative stressprobioticsrodent model

Identifiers

PMID40565686
PMCPMC12192021

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.