This research endeavor seeks to delve into the potential mechanisms by which pharmaceutical and personal care products (PPCPs), recognized as emerging pollutants, could contribute to the human metabolic disorders and then trigger metabolic diseases. Therefore, we have selected lipid and atherosclerosis, Alzheimer's disease, and type Ⅱ diabetes mellitus as representative metabolic diseases, aiming to systematically explore the critical molecular pathways that may be disrupted by PPCPs for the metabolic disease development. By employing advanced network toxicology and molecular docking techniques, we have successfully elucidated the molecular mechanisms that trigger the three diseases. We pinpointed the potential targets associated with the disease by leveraging databases including PubChem, ADEMTlab2.0, SwissADME, and GeneCards. We further employed STRING analysis and Cytoscape software to pinpoint the core targets that were most significantly associated with these metabolic diseases. In addition, enrichment analysis of these core targets was conducted using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways within the David database. To obtain the structural aspects of the target proteins, we also employed AlphaFold 3 for protein structure prediction. Finally, we validated the binding affinity of PPCPs to these target proteins using molecular docking with AutoDock Vina. Our findings suggested that PPCPs could potentially trigger metabolic diseases by modulating the expression of microRNAs, influencing cellular apoptosis and proliferation, and affecting signal transduction pathways. Interestingly, we also found the correlations among lipid and atherosclerosis, Alzheimer's disease, and type Ⅱ diabetes mellitus. Taken together, our study provides innovative insights into both the mechanisms of how environmental pollutants trigger human diseases and revealing the correlations among different diseases, thereby laying a theoretical foundation for disease prevention and treatment.

This study is to explore the anti-inflammatory mechanism of the ethanol extract of Duchesnea indica (Andr) Focke. An inflammatory cellular model was established by addition of lipopolysaccharide (LPS) on RAW264.7 cell line. The cellular secretion of TNF-α, IL-1β, IL-6, NO and IL-10 in supernatant, mRNA expression of TNF-α, COX-2, iNOS and HO-1, protein expression of COX-2 and HO-1, and activation of NF-κB were assayed by ELISA, the Griess method, real-time quantitative PCR, and Western blot and immunocytochemistry method, respectively. The ethanol extract of D. indica not only reduced production of pro-inflammatory cytokines and mediators and blocked NF-κB activation, but also slightly promoted release of the anti-inflammatory mediator HO-1 and suppressed IL-10 secretion. In conclusion, the anti-inflammatory effects of the extract of D. indica are attributed to the suppression of pro-inflammatory cytokines and mediators by blocking NF-κB activation. The extract of D. indica can also slightly promote HO-1 production to reduce inflammation.

Global Climate Models (GCMs) are a primary source of uncertainty in assessing climate change impacts on agricultural production, especially when relying on limited models. Considering China’s vast territory and diverse climates, this study utilized 22 GCMs and selected three representative cotton-producing regions: Aral (northwest inland region), Wangdu (Yellow River basin), and Changde (Yangtze River basin). Using the APSIM model, we simulated climate change effects on cotton yield, water consumption, uncertainties, and climatic factor contributions. Results showed significant variability driven by different GCMs, with uncertainty increasing over time and under radiation forcing. Spatial variations in uncertainty were observed: Wangdu exhibited the highest uncertainties in yield and phenology, while Changde had the greatest uncertainties in ET (evapotranspiration) and irrigation amount. Key factors affecting yield varied regionally—daily maximum temperature and precipitation dominated in Aral; precipitation was a major negative factor in Wangdu; and maximum temperature and solar radiation were critical in Changde. This study provides scientific support for developing climate change adaptation measures tailored to cotton production across different regions.

Glycolate oxidase (GOX) plays an important role in the regulation of photorespiration and photosynthesis in plants. However, as one of the main enzymes to produce the second messenger hydrogen peroxide (H₂O₂), its functions in response to pathogens are still poorly understood. In this study, we carried out genome-wide identification, and 14 GOX genes were identified in Gossypium hirsutum. These GOX genes are located on 10 chromosomes and divided into hydroxyacid-oxidases (HAOX) and GOX groups. After infection with Verticillium dahliae Kleb., six GOX gene expression levels were changed. Moreover, H₂O₂, salicylic acid (SA), and the content and activity of GOX increased in cotton. GhHAOX2- D-silenced plants showed more wilting than control plants after infection with V. dahliae. Additionally, H₂O₂ accumulation and SA content were reduced in GhHAOX2- D-silenced plants. The expression levels of GhPAL, GhPAD4, and GhPR1 and the lignin content of the silenced plants were significantly lower than those of the control plants. These results indicate that GhHAOX2-D is a positive regulator of Verticillium wilt tolerance in cotton and may promote H₂O₂ accumulation via the synergistic effects of GOX genes and SA. Collectively, GOX genes play an important role in cotton resistance to Verticillium wilt.

Vascular Plant One-Zinc finger (VOZ) transcription factors are pivotal regulators of plant growth and stress adaptation, yet their functional roles in Gossypium hirsutum, a key fiber crop, remain poorly characterized. In this study, we systematically identified six VOZ genes in G. hirsutum and conducted a comprehensive analysis of their phylogenetic relationships, genomic distribution, promoter architecture, and expression profiles. Phylogenetic classification placed the GhVOZ proteins into three distinct clades, and chromosomal localization revealed that family expansion was likely driven by segmental duplication events. Promoter analysis uncovered an abundance of stress-related cis-regulatory elements, suggesting a potential role in abiotic stress signaling. Consistent with this, expression profiling demonstrated that GhVOZ1/3, GhVOZ2/4/5, and GhVOZ6 were specifically induced under drought, salt, and cold stress, respectively, with qRT-PCR further confirming their tissue-specific dynamic regulation under salt treatment. Furthermore, the GhVOZ family exhibited stage-specific expression patterns during somatic embryogenesis. GhVOZ1, GhVOZ3, and GhVOZ4 were upregulated at the early induction phase, implicating them in the initiation of cell reprogramming. In contrast, GhVOZ2 and GhVOZ4 showed sustained expression in embryogenic callus at later stages, suggesting a role in maintaining embryogenic competence, whereas GhVOZ5—preferentially expressed in non-embryogenic callus—may act as a repressor of embryogenesis. Synteny analysis further highlighted evolutionary conservation and subgenomic divergence of VOZ genes in G. hirsutum. Collectively, these findings establish GhVOZs as key regulators integrating abiotic stress response and somatic embryogenesis, providing a genetic framework for future functional studies and crop improvement.

Cotton ( Gossypium barbadense L. and Gossypium hirsutum L.), a major economic crop, suffers severe yield losses due to Verticillium wilt caused by Verticillium dahliae Kleb. Although the lectin receptor‐like protein GbMBL1.1A has been identified as a key activator of hypersensitive cell death in cotton resistance to this pathogen, its downstream defense mechanisms remain unknown. Here, we performed comparative transcriptome analyses between the GbMBL1.1A ‐overexpressing (OE) cotton line and its wild‐type (WT) recipient counterpart (WC) under both normal (non‐infected) and V. dahliae infected conditions. A total of 760 differentially expressed genes (DEGs) were identified by comparing GbMBL1.1A ‐OE and WT cotton lines under normal condition. Upon pathogen infection across three timepoints, the counts of 1679 (1063 up, 616 down) and 1648 (633 up, 1015 down) DEGs were identified uniquely from GbMBL1.1A ‐OE or WT cotton line, respectively, relative to their mock controls. Further analysis of these DEGs revealed three aspects of changes due to GbMBL1.1A overexpression: (1) Pre‐infection priming via selective pattern recognition receptor modulation, mitochondrial cell death activation, and reactive oxygen species antioxidant perturbation under normal condition; (2) Significant enhancement of plant defense against pathogen through the remodeling of immune receptor activity, alteration of signal transduction and regulation, and modulation of secondary metabolic processes, with the most significant alteration occurring in lignin and phenylpropanoid metabolism. (3) Dynamic redox homeostasis regulation through metabolite interconversion enzymes during infection process. Collectively, these findings strengthen the theoretical foundation and provide novel candidate targets for developing improved control strategies to enhance cotton resistance against V. dahliae .