Evidence map›Paper›PMID 40433407›Full record

ArticleFrontiers in endocrinology2025

Complex networks interactions between bioactive compounds and adipose tissue vis-à-vis insulin resistance.

María Barrera-Esparza, Elizabeth Carreón-Torres, Angélica Saraí Jiménez-Osorio, Julieta Angel-García, Octavio Jiménez-Garza, Olga Rocío Flores-Chávez, Geu S Mendoza-Catalán, Diego Estrada-Luna

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

8 authors.

María Barrera-EsparzaCoordinación de Unidades de Segundo Nivel, Oficina Central, Servicios de Salud del Instituto Mexicano del Seguro Social para el Bienestar (IMSS-BIENESTAR), Mexico City, Mexico.
Elizabeth Carreón-TorresDepartment of Molecular Biology, Instituto Nacional de Cardiologiía "Ignacio Chaívez", Mexico City, Mexico.
Angélica Saraí Jiménez-OsorioDepartament of Nursing, Instituto de Ciencias de la Salud, Universidad Autoínoma del Estado Hidalgo (UAEH), Hidalgo, Mexico.
Julieta Angel-GarcíaDepartament of Nursing, Instituto de Ciencias de la Salud, Universidad Autoínoma del Estado Hidalgo (UAEH), Hidalgo, Mexico.
Octavio Jiménez-GarzaDepartament of Nursing, Instituto de Ciencias de la Salud, Universidad Autoínoma del Estado Hidalgo (UAEH), Hidalgo, Mexico.
Olga Rocío Flores-ChávezDepartament of Nursing, Instituto de Ciencias de la Salud, Universidad Autoínoma del Estado Hidalgo (UAEH), Hidalgo, Mexico.
Geu S Mendoza-CatalánDepartament of Nursing, Instituto de Ciencias de la Salud, Universidad Autoínoma del Estado Hidalgo (UAEH), Hidalgo, Mexico.
Diego Estrada-LunaDepartament of Nursing, Instituto de Ciencias de la Salud, Universidad Autoínoma del Estado Hidalgo (UAEH), Hidalgo, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatty acids disorders may lead to insulin resistance, resulting in long-term oxidative stress and inflammatory processes, both mediated by adipose tissue. Either in normal condition or obesogenic status, adipose cells components play an important role in several physiological and metabolic conditions. It has been shown that bioactive compounds can influence the development of obesity and its pathological complications such as insulin resistance. In this study, we performed a network between bioactive compounds and adipose tissue vis-a-vis insulin resistance. We constructed a regulatory network of 62 adipocyte cell components that incorporates current evidence of cellular and molecular interactions involved in healthy and obesity states. The network incorporated information about inflammation pathways and inhibition of insulin signaling; insulin signaling and GLUT 4 translocation; triglycerides production; ATP production; M2 macrophages recruitment; adipogenesis and lipolysis as well as mitochondrial biogenesis. Our mathematical model showed a discernment between the impact of various bioactive substances on the transitions from health to obesity and vice versa. We found that anthocyanins, punicalagin, oleanolic acid, and NRG4 proved to be critical nodes in the transition from obesity to the healthy state, due to their switch-on potential to up-regulate the complex network resulting in a beneficial transition.

Indexed as

AdipocytesAdipose TissueInsulin ResistanceObesityAnimalsHumansSignal Transductionadipose tissuebioactive compoundscomplex networksinflammationinsulin resistanceoxidative stress

Identifiers

PMID40433407
PMCPMC12106009

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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.