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ArticleJMIR research protocols2024

Phenotype-Genotype Correlation in Morquio A Syndrome: Protocol for a Meta-Analysis.

Lorena Diaz-Ordoñez, Paola Andrea Duque-Cordoba, Daniel Andrés Nieva-Posso, Wilmar Saldarriaga, Juan David Gutierrez-Medina, Harry Pachajoa

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. 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. 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

6 authors.

Lorena Diaz-OrdoñezDepartment of Basic Medical Sciences, Center for Research on Congenital Anomalies and Rare Diseases (CIACER), Universidad Icesi, Cali, Colombia.ORCID 0000-0002-3140-6332
Paola Andrea Duque-CordobaDepartment of Basic Medical Sciences, Center for Research on Congenital Anomalies and Rare Diseases (CIACER), Universidad Icesi, Cali, Colombia.ORCID 0009-0001-1899-925X
Daniel Andrés Nieva-PossoUROGIV Research Group, School of Medicine, Universidad del Valle, Cali, Colombia.ORCID 0000-0003-1193-0732
Wilmar SaldarriagaSchool of Basic Sciences, Universidad del Valle, Cali, Colombia.ORCID 0000-0001-7815-4390
Juan David Gutierrez-MedinaCentro de Investigaciones Clinicas, Fundación Valle del Lili, Cali, Colombia.ORCID 0000-0003-1876-4079
Harry PachajoaDepartment of Basic Medical Sciences, Center for Research on Congenital Anomalies and Rare Diseases (CIACER), Universidad Icesi, Cali, Colombia.ORCID 0000-0003-2672-0439

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMucopolysaccharidosis type IVA (MPS IVA), also known as Morquio A syndrome, is a rare lysosomal storage disease characterized by autosomal recessive inheritance of mutations in the N-acetylgalactosamine-6-sulfatase (GALNS) gene. This leads to a deficiency of the GALNS enzyme, causing the accumulation of glycosaminoglycans in tissues. Morquio A syndrome primarily affects the skeletal system and joints but can also impact various organs, resulting in symptoms such as hearing and vision loss, respiratory issues, spinal cord compression, heart diseases, and hepatomegaly. The genotype-phenotype relationship is diverse, with studies highlighting variants associated with classic, nonclassic, or intermediate phenotypes. Understanding these genetic factors is crucial for predicting disease prognosis and tailoring effective treatment strategies for individuals with Morquio A syndrome.

objectiveThe aim of this meta-analysis is to comprehend the relationship between the severity of the phenotype and the genotype of patients with MPS IVA, considering factors such as the type of variant and its location in the different domains of the protein.

methodsThis meta-analysis will include articles featuring participants of all genders and age groups who have a molecular diagnosis of MPS IVA and a description of the phenotype. Literature published in English, Spanish, and Portuguese will be considered. Exclusion criteria will encompass studies lacking full-text availability and those involving patients with an MPS IVA diagnosis but without phenotype information. The databases to be searched include PubMed, MEDLINE, ScienceDirect, and Scopus. The screening of literature, paper selection, and data extraction will involve 2 independent reviewers, who will conduct the process blindly. In the event of disagreements between the 2 reviewers at any stage, resolution will be sought through discussion or with the involvement of an additional reviewer. The final selection of manuscripts will be based on consensus. The results of the review will be presented using descriptive statistics, and the information will be organized in either diagrammatic or tabular formats, following the guidelines provided by the Joanna Briggs Institute. Genotype-phenotype relationships will be analyzed using IBM SPSS Statistics, using chi-square tests, Fisher exact tests, and regression analysis to interpret the data.

resultsA literature search conducted in January 2024 produced 760 results. The review is expected to be completed by the end of 2024.

conclusionsThis meta-analysis will gather and analyze information on the phenotype-genotype relationship in patients diagnosed with MPS IVA. The data collection and resulting analyses will make a substantial contribution to understanding the underlying mechanism of the disease, enabling the prediction of the syndrome's progression and severity. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56649.

Indexed as

Genetic Association StudiesMucopolysaccharidosis IVPhenotypeChondroitinsulfatasesGenotypeHumansMeta-Analysis as TopicMutationChondroitinsulfatasesGALNS protein, humanGALNS genegenotypegenotype-phenotype associationslaboratoriesmeta-analysisMorquio A syndromeMucopolysaccharidosis type IVmutationsN-acetylgalactosamine-6-sulfatasepathophysiologyrare diseasesscoping review

Identifiers

PMID39541578
PMCPMC11605256

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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.