Evidence map›Paper›PMID 39108162›Full record

ArticleRenal failure2024

Obeticholic acid ameliorates sepsis-induced renal mitochondrial damage by inhibiting the NF-κb signaling pathway.

Danyang Jing, Jingfeng Liu, Da Qin, Jin Lin, Tian Li, Yu Li, Meili Duan

Abstract read
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. NAT10-mediated acCellular & molecular biology letters · 2026
    Article
  2. 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.

Danyang JingDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Jingfeng LiuDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Da QinDepartment of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Jin LinDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Tian LiDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Yu LiDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Meili DuanDepartment of Critical Care Medicine, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI), a common complication of sepsis, might be caused by overactivated inflammation, mitochondrial damage, and oxidative stress. However, the mechanisms underlying sepsis-induced AKI (SAKI) have not been fully elucidated, and there is a lack of effective therapies for AKI. To this end, this study aimed to investigate whether obeticholic acid (OCA) has a renoprotective effect on SAKI and to explore its mechanism of action. Through bioinformatics analysis, our study confirmed that the mitochondria might be a critical target for the treatment of SAKI. Thus, a septic rat model was established by cecal ligation puncture (CLP) surgery. Our results showed an evoked inflammatory response

Indexed as

Acute Kidney InjuryChenodeoxycholic AcidDisease Models, AnimalMitochondriaNF-kappa BNLR Family, Pyrin Domain-Containing 3 ProteinOxidative StressRats, Sprague-DawleySepsisSignal TransductionAnimalsInflammasomesInterleukin-1betaKidneyMaleRatsChenodeoxycholic AcidInflammasomesInterleukin-1betaNF-kappa BNLR Family, Pyrin Domain-Containing 3 ProteinNlrp3 protein, ratobeticholic acidAKIinflammationmitochondriaOCASepsis

Identifiers

PMID39108162
PMCPMC11308967

What OpenQuestion holds

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Registered trials

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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.