Evidence map›Paper›PMID 36467725›Full record

ArticleFrontiers in cellular and infection microbiology2022

Antibiotic ampicillin induces immune tolerance in renal transplantation by regulating the proportion of intestinal flora in mice.

Xiaoqiang Wu, Guanghui Cao, Zhiwei Wang, Xuan Wu, Xiangyong Tian, Yue Gu, Fengmin Shao, Tianzhong Yan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Kidney transplantation and gut microbiota.Clinical kidney journal · 2024
    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

8 authors at 2 institutions in 1 country.

Xiaoqiang WuDepartment of Urology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital (Zhengzhou University People's Hospital), Zhengzhou, Henan, China.
Guanghui CaoDepartment of Urology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital (Zhengzhou University People's Hospital), Zhengzhou, Henan, China.
Zhiwei WangDepartment of Urology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital (Zhengzhou University People's Hospital), Zhengzhou, Henan, China.
Xuan WuDepartment of Urology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital (Zhengzhou University People's Hospital), Zhengzhou, Henan, China.
Xiangyong TianDepartment of Urology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital (Zhengzhou University People's Hospital), Zhengzhou, Henan, China.
Yue GuDepartment of Nephrology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital (Zhengzhou University People's Hospital), Zhengzhou, Henan, China.
Fengmin ShaoDepartment of Nephrology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital (Zhengzhou University People's Hospital), Zhengzhou, Henan, China.
Tianzhong YanDepartment of Urology, Henan Provincial Clinical Research Center for Kidney Disease, Henan Provincial People's Hospital (Zhengzhou University People's Hospital), Zhengzhou, Henan, China.
Henan Provincial People's Hospital · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: There are significant differences in the composition of intestinal flora in renal transplant recipients before and after an operation, which has a great impact on the prognosis of renal transplantation. The purpose of this project is to study the effect of intestinal flora imbalance on renal transplantation. Methods: The animal model of renal transplantation was established after intestinal flora imbalance (mice pretreated with compound antibiotics), or the animal model of renal transplantation was established after being pretreated with single antibiotics. HE, PAS, and Masson staining was used to detecting the histopathological changes of transplanted renal. The expression of inflammatory factors and infiltration of inflammatory cells of renal tissue were respectively been detected by ELISA kit and flow cytometry. Results: Antibiotic pretreatment restored weight loss, and decreased serum creatinine level in mice after renal transplantation. The tissue staining, ELISA assay, and flow cytometry data showed that antibiotic pretreatment alleviated injury of the renal allograft, inhibited the inflammatory factors levels, and reduced inflammatory cell infiltration in mice after renal transplantation. Furthermore, single antibiotic, especially ampicillin pretreatment can also play the same role as compound antibiotics, such as restoring weight loss, decreasing serum creatinine level, alleviating renal allograft injury, inhibiting inflammatory factors levels, and reducing inflammatory cell infiltration in mice after renal transplantation. Conclusions: Antibiotic ampicillin may inhibit inflammatory cell infiltration after renal transplantation by regulating the proportion of intestinal flora in mice, to reduce renal injury and play a role in renal protection.

Indexed as

Gastrointestinal MicrobiomeKidney TransplantationAmpicillinAnimalsAnti-Bacterial AgentsCreatinineDisease Models, AnimalImmune ToleranceMiceWeight LossAmpicillinAnti-Bacterial AgentsCreatinine16S rDNA gene sequencingantibioticintestinal florarenal injuryrenal transplant

Identifiers

PMID36467725
PMCPMC9715600
OpenAlexW4309271158

What OpenQuestion holds

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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 OpenQuestion graph.