Evidence map›Paper›PMID 17230601›Full record

ArticleWorld journal of gastroenterology2007

Red wine and green tea reduce H pylori- or VacA-induced gastritis in a mouse model.

Paolo Ruggiero, Giacomo Rossi, Francesco Tombola, Laura Pancotto, Laura Lauretti, Giuseppe Del Giudice, Mario Zoratti

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

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

  1. Pooled it
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  3. Review
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  12. Chilean Rhubarb,Frontiers in pharmacology · 2020
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  16. Oxidative medicine and cellular longevity · 2018
    Article
  17. Review
  18. Article
  19. Review
  20. Nontraditional therapies to treat Helicobacter pylori infection.Journal of microbiology (Seoul, Korea) · 2014
    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

7 authors.

Paolo RuggieroNovartis Vaccines & Diagnostics s.r.l., Research Center, Via Fiorentina 1, Siena I-53100, Italy. paolo.ruggiero@novartis.com
Giacomo Rossi
Francesco Tombola
Laura Pancotto
Laura Lauretti
Giuseppe Del Giudice
Mario Zoratti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo investigate whether red wine and green tea could exert anti-H pylori or anti-VacA activity in vivo in a mouse model of experimental infection.

methodsEthanol-free red wine and green tea concentrates were administered orally as a mixture of the two beverages to H pylori infected mice, or separately to VacA-treated mice. Gastric colonization and gastric inflammation were quantified by microbiological, histopathological, and immunohistochemical analyses.

resultsIn H pylori-infected mice, the red wine and green tea mixture significantly prevented gastritis and limited the localization of bacteria and VacA to the surface of the gastric epithelium. Similarly, both beverages significantly prevented gastric epithelium damage in VacA-treated mice; green tea, but not red wine, also altered the VacA localization in the gastric epithelium.

conclusionRed wine and green tea are able to prevent H pylori-induced gastric epithelium damage, possibly involving VacA inhibition. This observation supports the possible relevance of diet on the pathological outcome of H pylori infection.

Indexed as

Bacterial ProteinsHelicobacter pyloriTeaWineAnimalsCamellia sinensisCytotoxinsGastritisHelicobacter InfectionsMicePlant ExtractsVitisBacterial ProteinsCytotoxinsPlant ExtractsTeaVacA protein, Helicobacter pylori

Identifiers

PMID17230601
PMCPMC4065887

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.