Evidence map›Paper›PMID 34512897›Full record

ArticleWorld journal of diabetes2021

What can we learn from β-cell failure biomarker application in diabetes in childhood? A systematic review.

María F Calderón-Hernández, Nelly F Altamirano-Bustamante, Cristina Revilla-Monsalve, María Belen Mosquera-Andrade, Myriam M Altamirano-Bustamante

Open access · diamondAbstract read
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Article in World journal of diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

María F Calderón-HernándezUnidad de Investigación en Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, IMSS, Mexico 06720, Mexico.
Nelly F Altamirano-BustamanteDepartment of Endocrinology, Instituto Nacional de Pediatría, Mexico 04530, Mexico.
Cristina Revilla-MonsalveUnidad de Investigación en Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, IMSS, Mexico 06720, Mexico.
María Belen Mosquera-AndradeDepartment of Endocrinology, Instituto Nacional de Pediatría, Mexico 04530, Mexico.
Myriam M Altamirano-BustamanteUnidad de Investigación en Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI, IMSS, Mexico 06720, Mexico. myriamab@unam.mx.
Centro Medico Nacional Siglo XXI · MXInstituto Nacional de Pediatria · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of diabetes as a catastrophic disease in childhood is growing in the world. The search for novel biomarkers of β-cell failure has been an elusive task because it requires several clinical and biochemical measurements in order to integrate the risk of metabolic syndrome.

aimTo determine which biomarkers are currently used to identify β-cell failure among children and adolescents with high risk factors for diabetes mellitus.

methodsThis systematic review was carried out using a modified version of the PICO protocol (Participants/Intervention/Comparison/Outcome). Once our research question was established, terms were individually researched on three different databases (PubMed, BIREME and Web of Science). The total articles obtained underwent a selection process from which the 78 most relevant articles were retrieved to undergo further analysis. They were assessed individually according to quality criteria.

resultsFirst, we made the classification of the β-cell-failure biomarkers by the target tissue and the evolution of the disease, separating the biomarkers in relation to the types of diabetes. Second, we demonstrated that most biomarkers currently used as early signs of β-cell failure are those that concern local or systemic inflammation processes and oxidative stress as well as those related to endothelial dysfunction processes. Third, we explored the novelties of diabetes as a protein conformational disease and the novel biomarker called real human islet amyloid polypeptide amyloid oligomers. Finally, we ended with a discussion about the best practice of validation and individual control of using different types of biomarkers in type 1 and type 2 diabetes in order to assess the role they play in the progress of diabetes in childhood.

conclusionThis review makes widely evident that most biomarkers currently used as early signs of β-cell failure are those that concern local or systemic inflammation processes and oxidative stress as well as those related to endothelial dysfunction processes. Landing in the clinical practice we propose that real human islet amyloid polypeptide amyloid oligomers is good for identifying patients with β-cell damage and potentially could substitute many biomarkers.

Indexed as

AdolescentsBiomarkerChildrenDiabetes mellitusMetabolic syndromeβ-cell failure

Identifiers

PMID34512897
PMCPMC8394223
OpenAlexW3190412691

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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.