Evidence map›Paper›PMID 19533130›Full record

ReviewSeminars in immunopathology2009

Mononuclear cells in liver fibrosis.

Fabio Marra, Sara Aleffi, Sara Galastri, Angela Provenzano

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

44 citing papers in PubMed, 88 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. LOXL2-A New Target in Antifibrogenic Therapy?International journal of molecular sciences · 2019
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Reversal of liver cirrhosis: current evidence and expectations.The Korean journal of internal medicine · 2017
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Fabio MarraDipartimento di Medicina Interna, University of Florence, Viale Morgagni, 85, 50134, Florence, Italy. f.marra@dmi.unifi.it
Sara Aleffi
Sara Galastri
Angela Provenzano
University of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis is a multicellular wound healing process, where myofibroblasts that express extracellular matrix components extensively cross-talk with other cells resident in the liver or recruited from the bloodstream. Macrophages and infiltrating monocytes participate in the development of fibrosis via several mechanisms, including secretion of cytokines and generation of oxidative stress-related products. However, macrophages are also pivotal in the process of fibrosis resolution, where they contribute to matrix degradation. T lymphocytes modulate the fibrogenic process by direct interaction with myofibroblasts and secreting cytokines. In general, Th2 polarized responses promote fibrosis, while Th1 cytokines may be antifibrogenic. NK cells limit the development of fibrosis and favor its resolution, at least in part via killing of fibrogenic cells. The possible role of NKT cells and B cells is emerging in recent studies. Thus, mononuclear cells represent a critical regulatory system during fibrogenesis and may become an appealing target for therapy.

Indexed as

AnimalsB-LymphocytesCytokinesExtracellular MatrixHumansKiller Cells, NaturalLiverLiver CirrhosisMacrophagesNatural Killer T-CellsT-Lymphocyte SubsetsToll-Like ReceptorsCytokinesToll-Like Receptors

Identifiers

PMID19533130
OpenAlexW2095385790

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.