ArticleNature cardiovascular research2026
Consensus statement on mass spectrometry-based proteomic analysis of cardiac tissue.
Article in Nature cardiovascular research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
15 authors.
Funding
Abstract
Mass spectrometry-based cardiac proteomics provides direct molecular insight into cardiac physiology and disease. While plasma proteomics has advanced biomarker discovery, the analysis of cardiac tissue is essential for mechanistic understanding and therapeutic target identification; however, proteomic investigation of cardiac tissue faces unique challenges, including limited sample availability, regional heterogeneity, variability in collection and processing, and inconsistent reporting practices that hinder reproducibility and data integration. Here, we provide a practical framework for designing and conducting mass spectrometry-based proteomic studies of cardiac tissue and primary cardiac cells. We outline best practices and key considerations for sample handling, experimental design, data acquisition, quality control and statistical analysis. This guideline aims to support cardiac researchers in generating robust and reproducible proteomics datasets that advance our understanding of cardiac biology in both physiological and pathological contexts.
Indexed as
Identifiers
42185694What Socratic holds
Registered trials
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 Socratic graph.