Evidence map›Paper›PMID 41479027›Full record

ReviewResults and problems in cell differentiation2026

The Myeloid-T Lymphocyte Axis in Chronic Lung Allograft Rejection: Emerging Insights into the Immune Circuitry Driving Fibrosis.

Sajad Moshkelgosha, Sumiha Ramendra, Ke Fan Bei, Stephen Juvet

Abstract readReview
PubMed Publisher
In one paragraph

Review in Results and problems in cell differentiation, 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

4 authors.

Sajad Moshkelgosha *Latner Thoracic Research Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Sumiha Ramendra *Latner Thoracic Research Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Ke Fan BeiLatner Thoracic Research Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada.
Stephen JuvetLatner Thoracic Research Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto, ON, Canada. stephen.juvet@uhn.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While lung transplantation is a life-saving treatment option for patients with end-stage lung diseases, its long-term outcome is hampered by exceedingly high rates of chronic rejection, manifesting as chronic lung allograft dysfunction (CLAD). It has long been recognized that exposure of the lung to the external environment via the airways, coupled with its rich immune microenvironment, makes the lung uniquely susceptible to heightened alloimmunity. Extensive immunosuppressive drugs do not provide effective control of the process of chronic rejection, and so, in recent years, investigators have turned their attention toward the identification of underlying cellular mechanisms that are either inherently resistant to or evolve to escape these medications. In this review, we explore recent advances in identifying the cellular mediators of chronic lung allograft rejection, with a focus on the myeloid-T cell immune axis, which will require targeted therapeutic approaches in the future to prevent irreversible allograft fibrosis.

Indexed as

Graft RejectionLung TransplantationMyeloid CellsT-LymphocytesAllograftsAnimalsChronic DiseaseFibrosisHumansChronic lung allograft dysfunctionInnate immunityLung transplantationMyeloid cellsTertiary lymphoid organsTissue resident memory T cells

Identifiers

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.