Evidence map›Paper›PMID 35993024›Full record

ArticleOxidative medicine and cellular longevity2022

Characterization and Proteomic Analyses of Proinflammatory Cytokines in a Mouse Model of Liver Transplant Rejection.

Shi-Peng Li, Xin-Qiang Li, Xiao-Jie Chen, Jin-Ming Zhang, Guang-Peng Zhou, Liu-Xin Zhou, Hai-Ming Zhang, Li-Ying Sun, Zhi-Jun Zhu

Open access · hybridAbstract read
In one paragraph

Article in Oxidative medicine and cellular longevity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.6field-weighted citation impact, top 36% 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, 8 citations in OpenAlex.

  1. Article
  2. LDLRJournal of clinical and translational hepatology · 2026
    Article
  3. Diagnostic and predictive biomarkers of acute rejection after liver transplantation.International journal of surgery (London, England) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  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

9 authors at 2 institutions in 1 country.

Shi-Peng LiLiver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Xin-Qiang LiOrgan Transplantation Center, Affiliated Hospital of Qingdao University, Qingdao 266000, China.
Xiao-Jie ChenLiver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Jin-Ming ZhangLiver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Guang-Peng ZhouLiver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.ORCID https://orcid.org/0000-0002-3063-4528
Liu-Xin ZhouLiver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Hai-Ming ZhangLiver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Li-Ying SunLiver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.
Zhi-Jun ZhuLiver Transplantation Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.ORCID https://orcid.org/0000-0001-7031-2083
Capital Medical University · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver transplantation (LT) is an effective strategy for the treatment of end-stage liver disease, but immune rejection remains a significant detriment to the survival and prognosis of these LT patients. While immune rejection is closely related to cytokines, the cytokines investigated within previous studies have been limited and have not included a systematic analysis of proinflammatory cytokines. In the present study, we used a protein chip system and proteomics to detect and analyze serum proinflammatory cytokines and differentially expressed proteins in liver tissue in a mouse model of liver transplantation. In addition, bioinformatics analysis was employed to analyze the proinflammatory cytokines and differential changes in proteins in response to this procedure. With these analyses, we found that serum contents of GC-CSF, CXCL-1, MCP-5, and CXCL-2 were significantly increased after liver transplantation, while IL-5, IL-10, and IL-17 were significantly decreased. Results from Gene Ontology (GO) and KEGG pathway analyses revealed that the cytokine-cytokine receptor, Th1/Th2 cell differentiation, and JAK-STAT signaling pathway were enriched in a network associated with the activation of immune response. Results from our proteomic analysis of liver tissue samples revealed that 470 proteins are increased and 50 decreased, including Anxa1, Anxa2, Acsl4, Sirpa, S100a8, and S100a9. KEGG pathway analysis indicated that the neutrophil extracellular trap formation, NOD-like receptor signaling pathway, and leukocyte transendothelial migration were all associated with liver transplant rejection in these mice. Bioinformatics analysis results demonstrated that CXCL-1/CXCL-2 and S100a8/S100a9 were the genes most closely related to the functions of neutrophils and the mononuclear phagocyte system. These findings provide new insights into some of the critical factors associated with liver transplant rejection and thus offer new targets for the treatment and prevention of this condition.

Indexed as

CytokinesLiver TransplantationAnimalsDisease Models, AnimalMiceProteomicsSignal TransductionCytokines

Identifiers

PMID35993024
PMCPMC9391131
OpenAlexW4290879692

What OpenQuestion 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 OpenQuestion graph.