Evidence map›Paper›PMID 38948836›Full record

ArticlebioRxiv : the preprint server for biology2024

Top-Down Proteomics Identifies Plasma Proteoform Signatures of Liver Cirrhosis Progression.

Eleonora Forte, Jes M Sanders, Indira Pla, Vijaya Lakshmi Kanchustambham, Michael A R Hollas, Che-Fan Huang, Aniel Sanchez, Katrina N Peterson, Rafael D Melani, Alexander Huang and 5 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

15 authors.

Eleonora ForteProteomics Center of Excellence, Northwestern University, Evanston, IL, 60208, USA.
Jes M SandersNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Indira PlaProteomics Center of Excellence, Northwestern University, Evanston, IL, 60208, USA.
Vijaya Lakshmi KanchustambhamProteomics Center of Excellence, Northwestern University, Evanston, IL, 60208, USA.
Michael A R HollasProteomics Center of Excellence, Northwestern University, Evanston, IL, 60208, USA.
Che-Fan HuangProteomics Center of Excellence, Northwestern University, Evanston, IL, 60208, USA.
Aniel SanchezProteomics Center of Excellence, Northwestern University, Evanston, IL, 60208, USA.
Katrina N PetersonProteomics Center of Excellence, Northwestern University, Evanston, IL, 60208, USA.
Rafael D MelaniProteomics Center of Excellence, Northwestern University, Evanston, IL, 60208, USA.
Alexander HuangNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Praneet PolineniNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Julianna M DollNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Zachary DietchNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Neil L KelleherProteomics Center of Excellence, Northwestern University, Evanston, IL, 60208, USA.ORCID 0000-0002-8815-3372
Daniela P LadnerNorthwestern University Transplant Outcomes Research Collaborative (NUTORC), Comprehensive Transplant Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.

Funding

TR&D 7: Cell Specific ProteomicsP41GM108569 · NIGMS · NORTHWESTERN UNIVERSITY · PI KELLEHER, NEIL L · 2015 to 2024
$13.6M
Transplant Surgery Scientist Training ProgramT32DK077662 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Richard M Green, Daniela P Ladner · 2007 to 2026
$3.8M
NIDDK NIH HHS T32 DK077662NIGMS NIH HHS P41 GM108569
6 · The paper itself

Abstract

Cirrhosis, advanced liver disease, affects 2-5 million Americans. While most patients have compensated cirrhosis and may be fairly asymptomatic, many decompensate and experience life-threatening complications such as gastrointestinal bleeding, confusion (hepatic encephalopathy), and ascites, reducing life expectancy from 12 to less than 2 years. Among patients with compensated cirrhosis, identifying patients at high risk of decompensation is critical to optimize care and reduce morbidity and mortality. Therefore, it is important to preferentially direct them towards specialty care which cannot be provided to all patients with cirrhosis. We used discovery Top-down Proteomics (TDP) to identify differentially expressed proteoforms (DEPs) in the plasma of patients with progressive stages of liver cirrhosis with the ultimate goal to identify candidate biomarkers of disease progression. In this pilot study, we identified 209 DEPs across three stages of cirrhosis (compensated, compensated with portal hypertension, and decompensated), of which 115 derived from proteins enriched in the liver at a transcriptional level and discriminated the three stages of cirrhosis. Enrichment analyses demonstrated DEPs are involved in several metabolic and immunological processes known to be impacted by cirrhosis progression. We have preliminarily defined the plasma proteoform signatures of cirrhosis patients, setting the stage for ongoing discovery and validation of biomarkers for early diagnosis, risk stratification, and disease monitoring.

Identifiers

PMID38948836
PMCPMC11212939

What OpenQuestion holds

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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.