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J. M. Guzmán-Flores

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Open access Aug 2026

Computational Study of Terpenes from Schinus molle L. Fruit Essential Oil as Potential Modulators of Osteoarthritis-Related Inflammatory Pathways: A Network Pharmacology and Molecular Docking Study

This study investigated the effects of terpene compounds from Schinus molle fruit essential oil (EO) against osteoarthritis (OA) using integrated network pharmacology, molecular docking, and molecular dynamics. The EO, obtained by steam distillation (yield: 6.95%), was characterized by GC-MS, detecting 55 peaks (98.61% of the total), of which 49 were identified and dominated mainly by monoterpene hydrocarbons (73.93%), with α-phellandrene (20.35%), camphene (11.36%), and Z-β-ocimene (8.69%) as the major constituents. Additionally, seven compounds with favorable ADME profiles and low predicted toxicity were selected for the target prediction. Overlap analysis between compound targets and osteoarthritis-related genes (Os-teoDIP) revealed 171 common genes that triggered inflammatory pathways, including PI3K-Akt, HIF-1, and NOD-like receptor signaling. Protein–protein interaction network analysis identified 11 hub genes, including TLR4, HSP90AA1, PTGS2, and MAPK1. Molecular docking revealed that γ-cadinene exhibited the best binding affinities, particularly against HSP90AA1 (−6.38 kcal/mol) and TLR4 (−5.87 kcal/mol). A 200 ns molecular dynamics simulation confirmed the stability of the γ-cadinene–TLR4 complex through persistent hydrophobic contacts with residues F379, C391, F409, I310, and F377, with contact occupancy of up to 0.95. The receptor backbone RMSD plateaued between 2.5 and 3.5 Å after equilibration, and the ligand remained in the binding pocket throughout the trajectory. These findings suggest that the terpenes of S. molle EO, particularly γ-cadinene, may modulate the inflammatory pathways related to OA. However, it is necessary to complement experimental validation in vitro and in vivo.

O. Herrera-Calderón, J. M. Guzmán-Flores, J. Calva et al. · 0 citations
Review Open access Aug 2026

Mitochondrial-Centered Biological Networks in Metabolic Disease: Toward Precision Mitochondrial Medicine

Obesity and type 2 diabetes (T2D) are multifactorial metabolic disorders characterized by progressive dysfunction of multiple organs and biological systems. Although mitochondrial dysfunction is a hallmark of disease progression, the mechanisms linking metabolic stress to coordinated tissue dysfunction remain incompletely understood. Comparative proteomic studies have consistently identified coordinated remodeling of oxidative phosphorylation, fatty acid oxidation, tricarboxylic acid cycle activity, redox regulation, mitochondrial proteostasis, and adaptive signaling across metabolically affected organs, revealing conserved organizational principles underlying mitochondrial adaptation. However, these findings have largely been interpreted within reductionist, pathway-centered frameworks. Here, we integrate evidence from comparative proteomics, mitochondrial biology, bioenergetics, redox biology, signaling, and systems biology to propose the concept of mitochondrial-centered biological networks (MCBNs), in which mitochondria function as dynamic regulatory hubs coordinating interconnected processes that collectively determine metabolic adaptation and tissue resilience. Building on this framework, we introduce the Mitochondrial Homeostasis Hypothesis, which proposes that preservation or restoration of mitochondrial homeostasis depends on coordinated regulation of MCBNs and constitutes a fundamental systems-level mechanism underlying resistance to obesity, T2D, and hypercaloric diet-induced metabolic dysfunction. Curcumin represents a well-studied network-modulating intervention that coordinately influences mitochondrial bioenergetics, metabolic flexibility, redox homeostasis, proteostasis, inflammatory signaling, and adaptive stress responses, supporting the concept that mitochondrial homeostasis is preserved through coordinated network regulation rather than isolated modulation of individual molecular pathways. Finally, we discuss how emerging technologies, including functional proteomics, redox proteomics, spatial and single-cell proteomics, acetylomics, integrated multi-omics, and artificial intelligence-assisted network analysis, provide unprecedented opportunities to quantitatively characterize MCBNs, validate the proposed hypothesis, identify network-based biomarkers, and accelerate the development of network-guided precision mitochondrial medicine.

V. Pérez-Vázquez, J. M. Guzmán-Flores, Katya Vargas-Ortiz et al. · 0 citations