Evidence map›Paper›PMID 39432214›Full record

ReviewThe Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology2024

Exploring in vivo and in vitro models for heart failure with biomarker insights: a review.

Anil Kumar Prajapati, Gaurang Shah

Abstract readReview
In one paragraph

Review in The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Dressed in Collagen: 2D and 3D Cardiac Fibrosis Models.International journal of molecular sciences · 2025
    Review
  7. Small Extracellular Vesicles from Breast Cancer Cells Induce Cardiotoxicity.International journal of molecular sciences · 2025
    Article
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

2 authors.

Anil Kumar PrajapatiPharmacology Department, L. M. College of Pharmacy, Ahmedabad, Gujarat, 380009, India.
Gaurang ShahPharmacology Department, L. M. College of Pharmacy, Ahmedabad, Gujarat, 380009, India. gaurang.shah@lmcp.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure (HF) is a condition characterized by the heart's inability to meet the body's demands, resulting in various complications. Two primary types of HF exist, namely HF with preserved left ventricular ejection fraction (LVEF) and HF reduced with LVEF. The progression of HF involves compensatory mechanisms such as cardiac hypertrophy, fibrosis, and alterations in gene expression. Pressure overload and volume overload are common etiologies of HF, with pressure overload often stemming from conditions like hypertension, leading to left ventricular hypertrophy and fibrosis. In contrast, volume overload can arise from chronic valvular regurgitant disease, also inducing left ventricular hypertrophy. MAIN BODY: In vitro cell culture techniques serve as vital tools in studying HF pathophysiology, allowing researchers to investigate cellular responses and potential therapeutic targets. Additionally, biomarkers, measurable biological characteristics, play a crucial role in diagnosing and predicting HF. Some notable biomarkers include adrenomedullin, B-type natriuretic peptide, copeptin, galectin-3, interleukin-6, matrix metalloproteinases (MMPs), midregional pro-atrial natriuretic peptide, myostatin, procollagen type I C-terminal propeptide, procollagen type III N-terminal propeptide and tissue inhibitors of metalloproteinases (TIMPs). These biomarkers aid in HF diagnosis, assessing its severity, and monitoring treatment response, contributing to a deeper understanding of the disease and potentially leading to improved management strategies and outcomes.

conclusionsThis review provides comprehensive insights into various in vivo models of HF, commonly utilized cell lines in HF research, and pivotal biomarkers with diagnostic relevance for HF. By synthesizing this information, researchers gain valuable resources to further explore HF pathogenesis, identify novel therapeutic targets, and enhance diagnostic and prognostic approaches.

Indexed as

Cell lineHeart failureIn vitro modelIn vivo model

Identifiers

PMID39432214
PMCPMC11493927

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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.