Evidence map›Paper›PMID 41614895›Full record

ReviewCurrent issues in molecular biology2026

Eryptosis in Acute Patients: A Hypothesis on Its Potential Clinical Impact and Current Gaps in Evidence.

Grazia Maria Virzì, Anna Clementi, Monica Zanella, Claudio Ronco

Abstract readReview
In one paragraph

Review in Current issues in molecular biology, 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.

Grazia Maria VirzìDepartment of Nephrology, Dialysis and Transplant, St Bortolo Hospital, 36100 Vicenza, Italy.ORCID 0000-0001-7934-9800
Anna ClementiDepartment of Nephrology and Dialysis, Santa Marta and Santa Venera Hospital, 95024 Acireale, Italy.
Monica ZanellaDepartment of Nephrology, Dialysis and Transplant, St Bortolo Hospital, 36100 Vicenza, Italy.
Claudio RoncoDepartment of Nephrology, Dialysis and Transplant, St Bortolo Hospital, 36100 Vicenza, Italy.ORCID 0000-0002-6697-4065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a life-threatening condition driven by a dysregulated host response to infection and remains a leading cause of mortality and morbidity worldwide. Among the many mechanisms implicated in its pathophysiology, the contribution of eryptosis-programmed red blood cell (RBC) death-has been suggested but remains insufficiently investigated. In this hypothesis paper, we propose that eryptosis may represent an underrecognized driver of sepsis-induced anemia and a potential contributor to subsequent organ dysfunction. This hypothesis is supported only by fragmented, predominantly preclinical evidence, which is currently too limited to allow firm conclusions. In this context, we critically revisit the sparse data linking sepsis, endotoxemia, and eryptosis, and outline a testable framework for understanding their possible interaction. We emphasize the substantial gaps in current knowledge, including the absence of robust clinical studies, the heterogeneity of existing experimental models, and persistent uncertainty regarding causality versus mere association. We also explore the theoretical implications of modulating eryptosis as a potential therapeutic approach. Our aim is to stimulate scientific discussion and promote targeted research efforts that may help determine whether addressing eryptosis could ultimately contribute to mitigating anemia, reducing organ injury, and improving outcomes in critically ill patients affected by sepsis.

Indexed as

AKIendotoxineryptosissepsis

Identifiers

PMID41614895
PMCPMC12840279

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Registered trials

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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.