Evidence map›Paper›PMID 42939973›Full record

ReviewBiomedicines2026

Dynamic Crosstalk Between TREM2

Xinting Li, Chuchu Yu, Aojie Mao, Yiran Peng, Yiyang Hu, Yu Zhao

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biomedicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Xinting LiKey Laboratory of Liver and Kidney Diseases (Ministry of Education), Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200021, China.
Chuchu YuKey Laboratory of Liver and Kidney Diseases (Ministry of Education), Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200021, China.
Aojie MaoKey Laboratory of Liver and Kidney Diseases (Ministry of Education), Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200021, China.
Yiran PengKey Laboratory of Liver and Kidney Diseases (Ministry of Education), Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200021, China.
Yiyang HuKey Laboratory of Liver and Kidney Diseases (Ministry of Education), Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200021, China.
Yu ZhaoKey Laboratory of Liver and Kidney Diseases (Ministry of Education), Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200021, China.

Funding

National Natural Science Foundation of China 500000
6 · The paper itself

Abstract

Chronic liver disorders, including metabolic/alcoholic steatohepatitis, hepatic fibrosis, and hepatocellular carcinoma, have complex pathogenesis in which triggering receptor expressed on myeloid cells 2 (TREM2) has an important role. In metabolic dysfunction-associated steatotic liver disease (MASLD), TREM2 is detectable in several hepatic non-parenchymal cell types, including Kupffer cells and hepatic stellate cells, but is most highly expressed in recruited monocyte-derived macrophages. TREM2 regulates macrophage lipid handling, inflammatory responses, and phagocytosis. TREM2

Indexed as

hepatic fibrosis (HF)hepatocellular carcinoma (HCC)metabolic dysfunction-associated steatohepatitis (MASH)metabolic dysfunction-associated steatotic liver disease (MASLD)soluble TREM2 (sTREM2)TREM2+ macrophages

Identifiers

PMID42939973
PMCPMC13701225

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.