Evidence map›Paper›PMID 40252144›Full record

ArticleMolecular diversity2026

Computer-aided ligand identification of capsaicinoids and their potential functions in metabolic diseases.

Ana Alondra Sobrevilla-Navarro, Omar Ramos-Lopez, Bertha Landeros-Sánchez, María Guadalupe Sánchez-Parada, Ana Elizabeth González-Santiago

Abstract read
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In one paragraph

Article in Molecular diversity, 2026. 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

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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. 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

5 authors.

Ana Alondra Sobrevilla-NavarroFacultad de Medicina y Psicología, Universidad Autónoma de Baja California, 22390, Tijuana, México.
Omar Ramos-LopezFacultad de Medicina y Psicología, Universidad Autónoma de Baja California, 22390, Tijuana, México.
Bertha Landeros-SánchezFacultad de Ciencias Químicas E Ingeniería, Universidad Autónoma de Baja California, 22390, Tijuana, México.
María Guadalupe Sánchez-ParadaDepartamento de Ciencias Biomédicas, Centro Universitario de Tonalá, Universidad de Guadalajara, 45425, Guadalajara, México.
Ana Elizabeth González-SantiagoDepartamento de Ciencias Biomédicas, Centro Universitario de Tonalá, Universidad de Guadalajara, 45425, Guadalajara, México. ana.gonzalez@academicos.udg.mx.

Funding

"CONVOCATORIA ESPECIAL DE APOYO A NECESIDADES REGIONALES 2022" Project code: 304/2/N/65/7,"Estancias Posdoctorales por México 2022, Modalidad Estancia Posdoctoral Académica Inicial 2022" CVU: 297809
6 · The paper itself

Abstract

Obesity, diabetes, and cardiovascular diseases are major health concerns worldwide. In recent times, research has focused on identifying food-derived molecules and their relationship with metabolic diseases. A study was conducted to establish a process for characterizing the biological targets of capsaicinoids found in chili peppers. Capsaicinoids are a group of compounds including Capsaicin, Dihydrocapsaicin, Nordihydrocapsaicin, Homodihydrocapsaicin, Homocapsaicin, and Nonivamide. The study aimed to use bioinformatics tools to analyze these compounds and their effect on metabolic targets. To achieve this, a search was conducted for SMILES sequences of chili pepper capsaicinoids. The 2D and 3D similarity analyses were performed with compounds known to be experimentally active on their protein targets. These ligands were then analyzed, and predictions were made about enriched biological terms and bio-pathways. A protein-protein interaction analysis was performed on metabolic targets. Additionally, pharmacokinetics and CYP450 interaction prediction were analyzed using capsaicinoids. The molecular activity of the identified ligands for the six capsaicinoids were classified as G-protein-coupled receptors, proteases, membrane receptors, oxidoreductases, erasers, electrochemical transporters, cytochrome P450s, and hydrolases. There are several signaling pathways modulated by capsaicinoids, including insulin signaling, insulin resistance, AGE-RAGE signaling in diabetic complications, endocrine resistance, lipid metabolism, and atherosclerosis. The study found that capsaicin interacts more strongly with pathways that are important in metabolic diseases, such as obesity, cancer, diabetes mellitus, and their complications. These findings could be useful in developing strategies to mitigate the impact of metabolic diseases.

Indexed as

CapsaicinMetabolic DiseasesCapsicumComputational BiologyHumansLigandsCapsaicinLigandsBioinformaticsCapsaicinCapsaicinoidsMetabolic diseasesObesity

Identifiers

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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.