Evidence map›Paper›PMID 37688493›Full record

ArticleBiomolecules & biomedicine2024

The usefulness of the genetic panel in the classification and refinement of diagnostic accuracy of Mexican patients with Marfan syndrome and other connective tissue disorders.

Giovanny Fuentevilla-Álvarez, María Elena Soto, Yazmín Estela Torres-Paz, Sergio Enrique Meza-Toledo, Gilberto Vargas-Alarcón, Nadia González-Moyotl, Israel Pérez-Torres, Linaloe Manzano-Pech, Ana Maria Mejia, Claudia Huesca-Gómez and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Biomolecules & biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Analysis ofInternational journal of molecular sciences · 2025
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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

11 authors at 4 institutions in 2 countries.

Giovanny Fuentevilla-ÁlvarezDepartment of Physiology, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico; Department of Biochemistry, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional (IPN), México City, Mexico.
María Elena SotoDepartment of Immunology, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico; Cardiovascular Line in American British Cowdray (ABC) Medical Center, México City, Mexico; Research Direction, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico.
Yazmín Estela Torres-PazDepartment of Physiology, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico.
Sergio Enrique Meza-ToledoDepartment of Biochemistry, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional (IPN), México City, Mexico.
Gilberto Vargas-AlarcónResearch Direction, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico.
Nadia González-MoyotlDepartment of Physiology, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico.
Israel Pérez-TorresDepartment of Cardiovascular Biomedicine, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico.
Linaloe Manzano-PechDepartment of Cardiovascular Biomedicine, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico.
Ana Maria MejiaDepartment of Blood Bank, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico.
Claudia Huesca-GómezDepartment of Physiology, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico.
Ricardo GamboaDepartment of Physiology, Instituto Nacional de Cardiología Ignacio Chávez, México City, Mexico.
Instituto Nacional de Cardiología · MXCentro Médico ABC · MXInstituto Nacional de Cardiologia · BRInstituto Politécnico Nacional · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marfan syndrome (MFS) is a multisystem genetic disorder with over 3000 mutations described in the fibrillin 1 (FBN1) gene. Like MFS, other connective tissue disorders also require a deeper understanding of the phenotype-genotype relationship due to the complexity of the clinical presentation, where diagnostic criteria often overlap. Our objective was to identify mutations in patients with connective tissue disorders using a genetic multipanel and to analyze the genotype-phenotype associations in a cohort of Mexican patients. We recruited 136 patients with MFS and related syndromes from the National Institute of Cardiology. Mutations were identified using next-generation sequencing (NGS). To examine the correlation between mutation severity and severe cardiovascular conditions, we focused on patients who had undergone Bentall-de Bono surgery or aortic valve repair. The genetic data obtained allowed us to reclassify the initial clinical diagnosis across various types of connective tissue disorders. The transforming growth factor beta receptor 2 (TGFBR2) rs79375991 mutation was found in 10 out of 16 (63%) Loeys-Dietz patients. We observed a high prevalence (65%) of more severe mutations, such as frameshift indels and stop codons, among patients requiring invasive treatments like aortic valve-sparing surgery, Bentall and de Bono procedures, or aortic valve replacement due to severe cardiovascular injury. Although our study did not achieve precise phenotype-genotype correlations, it underscores the importance of a multigenetic panel evaluation. This could pave the way for a more comprehensive diagnostic approach and inform medical and surgical treatment decision-making.

Indexed as

Cardiovascular DiseasesConnective Tissue DiseasesMarfan SyndromeConnective TissueFibrillin-1HumansProtein Serine-Threonine KinasesReceptors, Transforming Growth Factor betaFibrillin-1Protein Serine-Threonine KinasesReceptors, Transforming Growth Factor beta

Identifiers

PMID37688493
PMCPMC10950338
OpenAlexW4386553918

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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.