Evidence map›Paper›PMID 37667081›Full record

ReviewNature reviews. Nephrology2024

Interorgan communication networks in the kidney-lung axis.

Yohei Komaru, Yun Zhu Bai, Daniel Kreisel, Andreas Herrlich

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  4. Inter-Organ Communication in Pulmonary Fibrosis: Systemic Modifiers of a Lung-Centered Disease.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 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

4 authors at 1 institution in 1 country.

Yohei KomaruDepartment of Medicine, Division of Nephrology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.ORCID 0000-0002-7970-5518
Yun Zhu BaiDepartment of Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Daniel KreiselDepartment of Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Andreas HerrlichDepartment of Medicine, Division of Nephrology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA. aherrlich@wustl.edu.ORCID 0000-0002-9308-2767
Washington University in St. Louis · US

Funding

Remote injury responses after AKII01BX005322 · VA · ST. LOUIS VA MEDICAL CENTER · PI HERRLICH, ANDREAS · 2021 to 2024
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BLRD VA I01 BX005322
6 · The paper itself

Abstract

The homeostasis and health of an organism depend on the coordinated interaction of specialized organs, which is regulated by interorgan communication networks of circulating soluble molecules and neuronal connections. Many diseases that seemingly affect one primary organ are really multiorgan diseases, with substantial secondary remote organ complications that underlie a large part of their morbidity and mortality. Acute kidney injury (AKI) frequently occurs in critically ill patients with multiorgan failure and is associated with high mortality, particularly when it occurs together with respiratory failure. Inflammatory lung lesions in patients with kidney failure that could be distinguished from pulmonary oedema due to volume overload were first reported in the 1930s, but have been largely overlooked in clinical settings. A series of studies over the past two decades have elucidated acute and chronic kidney-lung and lung-kidney interorgan communication networks involving various circulating inflammatory cytokines and chemokines, metabolites, uraemic toxins, immune cells and neuro-immune pathways. Further investigations are warranted to understand these clinical entities of high morbidity and mortality, and to develop effective treatments.

Indexed as

Acute Kidney InjuryRespiratory InsufficiencyCritical IllnessCytokinesHumansKidneyLungCytokines

Identifiers

PMID37667081
OpenAlexW4386421901

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.