Evidence map›Paper›PMID 19711178›Full record

ArticleInflammation2009

Evaluation of anti-colitic effect of lactic acid bacteria in mice by cDNA microarray analysis.

Hoyong Lee, Young-Tae Ahn, Jung-Hee Lee, Chul-Sung Huh, Dong-Hyun Kim

Abstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in Inflammation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.9field-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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. The Potential of the Probiotic IsolateFood science & nutrition · 2025
    Article
  4. Comparing the therapeutic potentials ofFrontiers in microbiology · 2023
    Article
  5. Review
  6. Article
  7. Article
  8. 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

5 authors at 2 institutions in 1 country.

Hoyong LeeR & D Center, Korea Yakult Co., Ltd., Yongin, Kyunggi-do 446-901, South Korea.
Young-Tae Ahn
Jung-Hee Lee
Chul-Sung Huh
Dong-Hyun Kim
Korea Yakult (South Korea) · KRKyung Hee University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the anti-colitic effect of lactic acid bacteria by cDNA microarray analysis, a lactic acid bacteria mixture (LM) consisting of Lactobacillus brevis HY7401, L. suntoryeus HY7801 and Bifidobacterium longum HY8004 was orally administered to dextran sulfate (DSS)-induced colitic mice and the expression profile of numerous genes was assessed. DSS treatment caused colitic outcomes such as inflammation and colon shortening. DSS also up-regulated the expression of inflammation-related genes: pro-inflammatory and chemotactic cytokines, including IL-1beta, TNF-alpha, IL-6, CCL2, CCL4, CCL7, CCL24, CXCL1, CXCL2, CXCL5, CXCL9 and CXCL10, and their receptors CCR3 and CCR7, and other colitis-related genes such as COX-2, PAP, MMP family, S100a8, S100a9 and DEFA1. LM treatment inhibited the mRNA expression of inflammation-related and tissue remodeling genes induced by DSS as well as the colitic symptoms. LM inhibition for the DSS-induced expression of the representative inflammatory markers, IL-1beta, TNF-alpha and COX-2, was supported by quantitative real-time polymerase chain reaction analysis. These findings suggest that LM ameliorates DSS-induced colitis by regulating inflammatory-related cytokines as well as tissue remodeling genes.

Indexed as

AnimalsBifidobacteriumColitisDextran SulfateGene Expression ProfilingLevilactobacillus brevisMaleMiceMice, Inbred ICROligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionRNA, MessengerDextran SulfateRNA, Messenger

Identifiers

PMID19711178
OpenAlexW2043538544

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.