Evidence map›Paper›PMID 35726350›Full record

ArticleHepatology communications2022

Spatial transcriptomics identifies enriched gene expression and cell types in human liver fibrosis.

Brian K Chung, Jonas Øgaard, Henrik Mikael Reims, Tom H Karlsen, Espen Melum

Open access · goldAbstract read
In one paragraph

Article in Hepatology communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 68 citations in OpenAlex.

  1. Review
  2. SNX3 exacerbates hepatic fibrosis by amplifying TGF-Acta pharmaceutica Sinica. B · 2026
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  4. The circadian clock controls hepatic stellate cell activation via a BMAL1/CK1ε/REV-ERBα/transgelin signaling pathway.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  15. Towards a reference cell atlas of liver diversity over the human lifespan.Nature reviews. Gastroenterology & hepatology · 2026
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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

5 authors at 1 institution in 1 country.

Brian K ChungNorwegian PSC Research Center, Oslo University Hospital, Rikshospitalet, Oslo, Norway.ORCID 0000-0002-9523-7515
Jonas ØgaardNorwegian PSC Research Center, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Henrik Mikael ReimsDepartment of Pathology, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Tom H KarlsenNorwegian PSC Research Center, Oslo University Hospital, Rikshospitalet, Oslo, Norway.
Espen MelumNorwegian PSC Research Center, Oslo University Hospital, Rikshospitalet, Oslo, Norway.ORCID 0000-0001-6903-6878
Oslo University Hospital · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver fibrosis and cirrhosis have limited therapeutic options and represent a serious unmet patient need. Recent use of single-cell RNA sequencing (scRNAseq) has identified enriched cell types infiltrating cirrhotic livers but without defining the microanatomical location of these lineages thoroughly. To assess whether fibrotic liver regions specifically harbor enriched cell types, we explored whether whole-tissue spatial transcriptomics combined with scRNAseq and gene deconvolution analysis could be used to localize cell types in cirrhotic explants of patients with end-stage liver disease (total n = 8; primary sclerosing cholangitis, n = 4; primary biliary cholangitis, n = 2, alcohol-related liver disease, n = 2). Spatial transcriptomics clearly identified tissue areas of distinct gene expression that strongly correlated with the total area (Spearman r = 0.97, p = 0.0004) and precise location (parenchyma, 87.9% mean congruency; range, 73.1%-97.1%; fibrosis, 68.5% mean congruency; range, 41.0%-91.7%) of liver regions classified as parenchymal or fibrotic by conventional histology. Deconvolution and enumeration of parenchymal and fibrotic gene content as measured by spatial transcriptomics into distinct cell states revealed significantly higher frequencies of ACTA2+ FABP4+ and COL3A1+ mesenchymal cells, IL17RA+ S100A8+ and FCER1G+ tissue monocytes, VCAM1+ SDC3+ Kupffer cells, CCL4+ CCL5+ KLRB1+ and GZMA+ IL17RA+ T cells and HLA-DR+, CD37+ CXCR4+ and IGHM+ IGHG+ B cells in fibrotic liver regions compared with parenchymal areas of cirrhotic explants. Conclusion: Our findings indicate that spatial transcriptomes of parenchymal and fibrotic liver regions express unique gene content within cirrhotic liver and demonstrate proof of concept that spatial transcriptomes combined with additional RNA sequencing methodologies can refine the localization of gene content and cell lineages in the search for antifibrotic targets.

Indexed as

Liver DiseasesTranscriptomeFibrosisHumansLiver Cirrhosis

Identifiers

PMID35726350
PMCPMC9426406
OpenAlexW4283211525

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.