Evidence map›Paper›PMID 40208860›Full record

ArticlePloS one2025

Novel brain biomarkers of obesity in young adult women based on statistical measurements of white matter tracts.

José Gerardo Suárez-García, María Isabel Antonio-de la Rosa, Nora Coral Soriano-Becerril, Javier M Hernández López, Martín Rodolfo Palomino-Merino, Benito de Celis-Alonso

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Article in PloS one, 2025. 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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1 · What the graph read from it

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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

6 authors.

José Gerardo Suárez-GarcíaFaculty of Physical and Mathematical Sciences, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico.ORCID https://orcid.org/0000-0002-5304-9161
María Isabel Antonio-de la RosaFaculty of Physical and Mathematical Sciences, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico.
Nora Coral Soriano-BecerrilInstituto Mexicano del Seguro Social (IMSS), Puebla, Mexico.
Javier M Hernández LópezFaculty of Physical and Mathematical Sciences, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico.
Martín Rodolfo Palomino-MerinoFaculty of Physical and Mathematical Sciences, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico.
Benito de Celis-AlonsoFaculty of Physical and Mathematical Sciences, Benemérita Universidad Autónoma de Puebla (BUAP), Puebla, Mexico.ORCID https://orcid.org/0000-0003-2124-1084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNovel brain biomarkers of obesity were sought by studying statistical measurements on fractional anisotropy (FA) images of different white matter (WM) tracts from young adult women.

methodsTract measurements were chosen that showed differences between two groups (normal weight and overweight/obese) and that were correlated with BMI. From these measurements, a simple and novel process was applied to select those that would allow the creation of models to quantify and classify the state of obesity of individuals. The biomarkers were created from the tract measurements used in the models.

resultsPositive correlations were found between WM integrity and BMI, mainly in tracts involved in motor functions. From these results, two models were built to quantify and classify obesity status, whose regression coefficients formed the novel proposed obesity associated brain biomarkers.

conclusionA process for the selection of tract measurements was proposed, such models were built to determine the obesity status of subjects individually. From these models, novel brain biomarkers associated with obesity were created. These results generate new knowledge in the field, intended to be used in the future in the clinical environment as a prevention and treatment tool for brain changes associated with obesity. SIGNIFICANCE: After studying young adult women, results opposed some of the previous results reported in literature. These consisted of positive correlations between WM integrity and obesity mainly in tracts involved in motor functions. Novel brain biomarkers of obesity were also proposed, formed by the regression coefficients involved in precise models of quantification and classification of obesity status. All this allows the generation of new knowledge and its probable subsequent clinical application.

Indexed as

BrainObesityWhite MatterAdultAnisotropyBiomarkersBody Mass IndexDiffusion Tensor ImagingFemaleHumansYoung AdultBiomarkers

Identifiers

PMID40208860
PMCPMC11984704

What Socratic holds

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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 Socratic graph.