Evidence map›Paper›PMID 42620818›Full record

ReviewBiophysical reviews2026

Beyond sarcomere genetics: proteomic insights into hypertrophic cardiomyopathy.

Zachery R Gregorich, Zhan Gao, Kalina J Rossler, J Carter Ralphe, Timothy J Kamp, Ying Ge

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Evidence for a role of adverse sarcomere signaling in atrial fibrillation induction.Journal of molecular and cellular cardiology plus · 2026
    Review
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

6 authors.

Zachery R GregorichDepartment of Animal & Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706 USA.
Zhan GaoDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705 USA.
Kalina J RosslerDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705 USA.
J Carter RalpheDepartment of Pediatrics, University of Wisconsin-Madison, Madison, WI 53705 USA.
Timothy J KampDepartment of Medicine, University of Wisconsin-Madison, Madison, WI 53705 USA.
Ying GeDepartment of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, WI 53705 USA.

Funding

Top Down Proteomics Of Myofilaments In Heart FailureR01HL096971 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2011 to 2021
$3.3M
NHLBI NIH HHS R01 HL096971
6 · The paper itself

Abstract

Hypertrophic cardiomyopathy (HCM) has long been viewed as the archetypal monogenic disorder caused by pathogenic variants in the genes encoding components of the sarcomere. However, the fact that only one-third of HCM cases are genotype-positive, as well as other factors such as incomplete disease penetrance and marked phenotypic heterogeneity, challenge this reductionist view. Recent advances in mass spectrometry-based proteomics have provided new opportunities to interrogate human HCM myocardium at unprecedented depth and are reshaping our understanding of HCM pathobiology. In this mini-review, we summarize insights from both top-down and bottom-up proteomics studies showing that HCM is characterized by broad molecular remodeling across multiple cellular compartments, including the sarcomere, sarcoplasmic reticulum, cytoskeleton, mitochondria, and nucleus. Together, these studies support a model in which diverse HCM genotypes converge on shared downstream proteomic phenotypes and highlight proteomics as a powerful approach for defining disease mechanisms, modifiers, and therapeutic targets.

Indexed as

Hypertrophic cardiomyopathyProteomic insightsSarcomere genetics

Identifiers

PMID42620818
PMCPMC13486424

What Socratic 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 Socratic graph.