Evidence map›Paper›PMID 35262976›Full record

ArticleJournal of clinical laboratory analysis2022

Aberrant blood MALT1 and its relevance with multiple organic dysfunctions, T helper cells, inflammation, and mortality risk of sepsis patients.

Yibin Wang, Qinghe Huang, Fuyun He

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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  3. Immune-Related MoleculesInternational journal of molecular sciences · 2024
    Article
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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

3 authors at 1 institution in 1 country.

Yibin WangDepartment of Central Intensive Care Unit, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
Qinghe HuangDepartment of Central Intensive Care Unit, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0002-7676-247X
Fuyun HeDepartment of Central Intensive Care Unit, Zhongshan Hospital Affiliated to Xiamen University, Xiamen, China.
Zhongshan Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMALT1 is linked with multiple organic dysfunctions, inflammatory storm, and T helper (Th) cell differentiation. Herein, the current study aimed to investigate the correlation of peripheral blood mononuclear cell (PBMC) MALT1 with Th1 cells, Th17 cells, and prognosis of sepsis patients.

methodsIn general, 78 sepsis patients and 40 health controls (HCs) were enrolled. MALT1 expression was detected in PBMCs from all subjects by RT-qPCR. Besides, Th1 and Th17 cells were measured in PBMCs from sepsis patients by flow cytometry; interleukin 17A (IL-17A) and interferon gamma (IFN-γ) were determined in serum from sepsis patients by ELISA.

resultsMALT1 expression was higher in sepsis patients than HCs (p < 0.001). MALT1 expression was positively correlated with Th17 cells (r

conclusionPBMC MALT1 is highly expressed in sepsis patients with its overexpression associated with multiple organic dysfunctions, elevated Th17 cells, and increased mortality risk.

Indexed as

Leukocytes, MononuclearSepsisHumansInflammationInterleukin-17Mucosa-Associated Lymphoid Tissue Lymphoma Translocation 1 ProteinTh17 CellsTh1 CellsInterleukin-17MALT1 protein, humanMucosa-Associated Lymphoid Tissue Lymphoma Translocation 1 Proteinmucosa-associated lymphoid tissue lymphoma translocation protein 1multiple organic dysfunctionsprognosissepsisT helper cell

Identifiers

PMID35262976
PMCPMC8993658
OpenAlexW4220964150

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.