Downloading appetite? Investigating the role of parasocial relationship with favorite social media food influencer in followers' disordered eating behaviors.

PURPOSE: Although a number of investigations have been carried out on the marketing outcomes of parasocial relationships (PSR) with food influencers on social media, little attention has been paid to the potential contribution of these one-sided emotional bonds to followers' eating attitudes and habits. Drawing on the Parasocial Theory, the role of parasocial attachment with food influencers was investigated in predicting eating disorders, food addiction, and grazing. To increase the accuracy of PSR measurement, a brief self-report scale was developed to gauge social media users' feelings of mutual awareness, attention, and adjustment with their favorite food influencer at a distance through social media. METHODS: Participants were a convenience sample of 405 Iranian social media users (231women; Mage = 28.16, SDage = 9.40), who followed a favorite food influencer on social media. RESULTS: The 8-item Parasocial Relationship with Favorite Food Influencer Scale (PSRFFIS) revealed a unidimensional structure with excellent content and construct validity and internal consistency. Regarding gender differences, men showed stronger parasocial attachment to their favorite food influencers. Adjusting age, gender, and subjective social status as control variables, PSR with favorite food influencers partially contributed to the explanation of eating disorder symptom severity, food addiction, and grazing. CONCLUSION: These findings show that PSR with favorite food influencers appears to be associated with followers' craving for food, which, in turn, may contribute to maladaptive eating habits. This highlights media-related factors, such as PSR with food influencers, as potential drivers of dysfunctional eating habits in the digital age, particularly in countries like Iran where disordered eating is prevalent. LEVEL OF EVIDENCE: Level V-based on cross-sectional data (correlational study; scale development).

Natural products as glycolytic inhibitors for cervical cancer treatment: A comprehensive review.

Cervical cancer, a prevalent gynaecological malignancy, presents challenges in late-stage treatment efficacy. Aerobic glycolysis, a prominent metabolic trait in cervical cancer, emerges as a promising target for novel drug discovery. Natural products, originating from traditional medicine, represent a significant therapeutic avenue and primary source for new drug development. This review explores the regulatory mechanisms of glycolysis in cervical cancer and summarises natural compounds that inhibit aerobic glycolysis as a therapeutic strategy. The glycolytic phenotype in cervical cancer is regulated by classical molecules such as HIF-1, HPV virulence factors and specificity protein 1, which facilitate the Warburg effect in cervical cancer. Various natural products, such as artemisinin, shikonin and kaempferol, exert inhibitory effects by downregulating key glycolytic enzymes through signalling pathways such as PI3K/AKT/HIF-1α and JAK2/STAT3. Despite challenges related to drug metabolism and toxicity, these natural compounds provide novel insights and promising avenues for cervical cancer treatment.

Dynamic changes and formation of key contributing odorants with amino acids and reducing sugars as precursors in shiitake mushrooms during hot air drying.

The dynamic variations in key contributing odorants, amino acids and reducing sugars in shiitake mushrooms during hot-air drying were determined by gas chromatography-mass spectrometry (GC-MS), high performance liquid chromatography-tandem mass (HPLC-MS/MS) and ion chromatography (IC). The potential precursors were explored by the partial least squares-discriminant analysis and Pearson correlation analysis, and Met, Cys, and ribose were considered as the possible precursors of dimethyl trisulfide and lenthionine. The verification experiments in the absence and presence of shiitake mushroom matrix further confirmed that Met and its interaction with ribose both contributed to generating dimethyl trisulfide. The polynomial nonlinear fitting curve could better represent the dose-effect relationships of Met and Met-ribose to produce dimethyl trisulfide with R2 of 0.9579 and 0.9957. Conversely, ribose, Cys or Cys-ribose were verified to be unable to form the key contributing odorants. Collectively, the results provided a method to reveal precursors and generation pathway of odorants.