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Record W4387532274 · doi:10.3389/fimmu.2023.1304773

Editorial: Mesenchymal and immune cell crosstalk in fibrotic diseases

2023· editorial· en· W4387532274 on OpenAlexafffund
Kinji Asahina, Subburaj Ilangumaran

Bibliographic record

VenueFrontiers in Immunology · 2023
Typeeditorial
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsUniversité de Sherbrooke
FundersJapan Society for the Promotion of ScienceCanadian Institutes of Health ResearchJapan Agency for Medical Research and Development
KeywordsMesenchymal stem cellCrosstalkImmune systemMedicineImmunologyBiologyCell biologyEngineeringElectronic engineering

Abstract

fetched live from OpenAlex

Fibroblasts, a type of mesenchymal cells, are a source of myofibroblasts and are key players in organ fibrosis. Upon organ injury, tissue-resident fibroblasts are activated to differentiate into myofibroblasts (1). Myofibroblasts express extracellular matrix proteins and participate in progression of fibrosis in the liver, lungs, skin, and other organs. Myofibroblasts produce pro-inflammatory cytokines and chemokines, and induce recruitment of inflammatory immune cells to the fibrotic area. Although fibrosis is recognized as a wound healing process, excessive accumulation of extracellular matrix proteins and myofibroblasts in tissues results in severe fibrosis, which is considered irreversible. Currently, there are no approved drugs for reversal of severe organ fibrosis.In liver fibrosis, hepatic stellate cells are the major source of myofibroblasts (2). Hepatic stellate cells store vitamin A lipids and reside in the space of Disse between hepatocytes and sinusoidal endothelial cells. Following liver injury, damaged hepatocytes release damage-associated molecular patterns and induce activation of hepatic stellate cells. The activated hepatic stellate cells synthesize extracellular matrix proteins, proinflammatory cytokines, and chemokines to induce inflammation. In this special issue,Exosomes derived from hepatocytes or macrophages induce activation of hepatic stellate cells in liver fibrosis. In contrast, exosomes derived from mesenchymal stem cells exert antifibrotic effects on the activated hepatic stellate cells. Exosomes may serve as biomarkers for diagnosis of liver diseases, including fibrosis. Tissue-resident macrophages are derived from myeloid progenitor cells present in the embryonic yolk sac (4). In the liver, resident macrophages, called Kupffer cells, play an important role in protecting the liver from microorganisms that are transported from the intestine through the portal vein. Kupffer cells are immotile cells that communicate with hepatic stellate cells and hepatocytes via soluble factors to control liver homeostasis, response to injury, and regeneration. In addition to Kupffer cells, monocytederived macrophages are recruited to the injured liver tissue to elicit inflammatory responses (5). Hassan et al. have reviewed the roles of resident Kupffer cells and monocyte-derived macrophages in liver injury (6). Both the cell types exhibit distinct phenotypes and contribute toward inflammation, fibrogenesis, and repair during different phases. Activation of tissue repair macrophages or suppression of inflammatory macrophages is an attractive therapeutic strategy for treatment of liver fibrosis. By modulating these cells, resolution of fibrosis and regeneration of the liver can be controlled. SOCS1 is a negative regulator of many signaling pathways activated by cytokines and growth factors. Kandhi et al. experimentally deleted SOCS1 in hepatic stellate cells and observed overactivation of these cells and induction of severe liver fibrosis (7). Deletion of SOCS1 in hepatic stellate cells resulted in recruitment of inflammatory macrophages to the fibrotic liver, indicating the crucial role of hepatic stellate cells in the recruitment of inflammatory macrophages in liver fibrosis.Similar to hepatic stellate cells in the liver, fibroblasts in other organs play an important role in fibrotic reactions. Asthma is a chronic inflammatory lung disease in which lung fibroblasts secrete inflammatory cytokines to induce inflammation. Neutrophils, eosinophils, mast cells, and T cells are major immune cells involved in asthmatic inflammation. Thiam et al. reviewed co-culture systems of lung fibroblasts and immune cells in 2D and 3D (8). These new culture systems may help clarify crosstalk between fibroblasts and immune cells and identify new therapeutics for the treatment of asthma and fibrosis in other organs.In internal organs, tissue fibroblasts originate from mesodermal cells. In the liver, hepatic stellate cells express both mesenchymal and neural cell markers; however, they are derived from the mesoderm during embryonic development (9). In contrast, the origins of dermal fibroblasts in the skin are heterogeneous; they are derived from the mesoderm and neural crest. Knoedler et al. have reviewed the heterogeneous embryonic origins of dermal fibroblasts and their distinct roles in wound healing process in the skin (10).Similar to dermal fibroblasts, mesenchymal populations in other organs, such as the liver, are heterogeneous (11). Further studies are required to understand whether heterogeneous mesenchymal populations play distinct roles in organ fibrosis and inflammation. As evidenced in this special issue, crosstalk between fibroblasts and immune cells, such as macrophages, is an attractive target for suppression of fibrosis. However, macrophages are heterogeneous populations that rapidly change their phenotype depending on their environment and stimuli received from other cells. Further comprehensive studies on the crosstalk between mesenchymal cells and macrophages is necessary to develop therapeutics against organ fibrosis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.024
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0050.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0030.001
Science and technology studies0.0020.002
Scholarly communication0.0050.005
Open science0.0040.001
Research integrity0.0120.012
Insufficient payload (model declined to judge)0.0240.014

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.235
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

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