Objective: To investigate the molecular regulatory mechanism of hypoxia-inducible factor-1α (HIF-1α) in mechanical stress-induced inflammatory cytokine expression in human periodontal ligament cells (hPDLCs), providing a theoretical basis and potential therapeutic target for inflammatory control during orthodontic treatment. Methods: This study was approved by the Institutional Ethics Committee. Primary human periodontal ligament cells (hPDLCs) were isolated and cultured in vitro. Self-renewal capacity was confirmed via colony-forming assays, while osteogenic and adipogenic differentiation potential was evaluated via Alizarin Red S staining, alkaline phosphatase (ALP) activity assays, and Oil Red O staining. An in vitro compressive force stimulation model (1.5 g/cm2, 12 h) was established to compare inflammatory cytokine expression of hPDLCs—interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and HIF-1α—between the Control group (no mechanical stimulation) and the Force group (1.5 g/cm2, 12 h) using quantitative real-time PCR (qRT-PCR), Western blot, and immunofluorescence (IF) staining. Mechanically induced HIF-1α-regulated gene expression changes were analyzed through transcriptomic sequencing. To explore pharmacological inhibition, the small-molecule HIF-1α inhibitor LW-6 was applied at varying concentrations (10 μmol/L, 30 μmol/L, 50 μmol/L) to optimize the treatment dose. Subsequently, qRT-PCR, Western blot, and IF staining were conducted to evaluate inflammatory cytokine of hPDLCs and HIF-1α expression in three groups: Control (no force), Force (1.5 g/cm2, 12 h), and Force+LW6 (1.5 g/cm2, 12 h + 30 μmol/L LW-6). Results: Primary hPDLCs demonstrated self-renewal capacity along with osteogenic and adipogenic differentiation potential. Compared to the Control group, the Force group exhibited significantly increased mRNA and protein expression levels of inflammatory cytokines IL-1β, IL-6, and TNF-α, along with enhanced fluorescence intensity of IL-1β and TNF-α. Transcriptomic analysis revealed that mechanical compressive force activated the HIF-1 signaling pathway, which subsequently mediated inflammatory responses and bone remodeling processes in hPDLCs. Furthermore, the mRNA and protein levels of HIF-1α were considerably elevated in the Force group compared to the Control group. Treatment with LW-6 (10, 30, or 50 μmol/L) effectively suppressed HIF-1α expression, with 30 μmol/L LW-6 identified as the optimal concentration for intervention. In subsequent experiments, the Force group showed significant upregulation in mRNA/protein expression of IL-1β, IL-6, and TNF-α compared to the Control group, as well as intensified HIF-1α, IL-1β, and TNF-α fluorescence signals. Conversely, the Force+LW6 group (mechanical force + 30 μmol/L LW-6) exhibited a notable reduction in inflammatory cytokine expression levels and a weakening of HIF-1α, IL-1β, and TNF-α fluorescence signals compared to the Force group. Conclusion HIF-1α potentiates mechanical stress-induced inflammatory responses in hPDLCs and may serve as a promising therapeutic target for mitigating orthodontic-associated periodontal inflammation.

Objective To investigate the acoustic characteristics of speech in Parkinson's disease(PD)pa-tients compared to healthy individuals using smartphone-recorded speech,laying the foundation for future intelligent cloud-based PD detection.Methods A total of 81 PD patients and 63 healthy controls were randomly selected to re-cord their speech using Huawei,Xiao mi,and Apple smartphones through the"Active Health"screening app from the National Key R&D Program.Using the Praat library in Python,parameters such as mean fundamental frequen-cy(Mean F0),minimum fundamental frequency(Min F0),maximum fundamental frequency(Max F0),formants(F1,F2,F3,F4),shimmer,noise-to-harmonics ratio(NHR),and jitter were extracted and compared.Results In PD patients,jitter and shimmer were significantly higher in the/ba/,/bi/,/bu/,and/bo/vowels compared to the control group,while Mean F0 and Max F0 was significantly lower in/bi/and/bo/.Min F0 was significantly higher in/bi/and/bu/for PD patients.No significant differences were found in F1,F2,F3,or F4 between PD pa-tients and controls in/ba/,/bi/,/bo/and/bu/.Conclusion Quantitative analysis of smartphone-recorded speech can detect speech changes in PD patients,providing a solid foundation for the development of a cloud-based PD de-tection system.

Objective To investigate the acoustic characteristics of speech in Parkinson's disease(PD)pa-tients compared to healthy individuals using smartphone-recorded speech,laying the foundation for future intelligent cloud-based PD detection.Methods A total of 81 PD patients and 63 healthy controls were randomly selected to re-cord their speech using Huawei,Xiao mi,and Apple smartphones through the"Active Health"screening app from the National Key R&D Program.Using the Praat library in Python,parameters such as mean fundamental frequen-cy(Mean F0),minimum fundamental frequency(Min F0),maximum fundamental frequency(Max F0),formants(F1,F2,F3,F4),shimmer,noise-to-harmonics ratio(NHR),and jitter were extracted and compared.Results In PD patients,jitter and shimmer were significantly higher in the/ba/,/bi/,/bu/,and/bo/vowels compared to the control group,while Mean F0 and Max F0 was significantly lower in/bi/and/bo/.Min F0 was significantly higher in/bi/and/bu/for PD patients.No significant differences were found in F1,F2,F3,or F4 between PD pa-tients and controls in/ba/,/bi/,/bo/and/bu/.Conclusion Quantitative analysis of smartphone-recorded speech can detect speech changes in PD patients,providing a solid foundation for the development of a cloud-based PD de-tection system.

Objective The purpose d this investigation was to evaluate the effect d influenza vaccination among medical staff. Methods We chose 134 medical staff who worked in out-patient department and the wards and received influenza vaccination as the inoculation group, 135 medical staff who did not receive influenza vaccination as the non-inoculation group. Investigation with questionnaires was carried out in the two groups 3 months after vaccination. Results The incidence rate of influenza-like disease in the observation group and the control group was 11.2% and 18.5% respectively. The protective rate was 39.46%. The average illness process of influenza-like disease in the observation group and the control group was 1.73 days and 2.96 days. The percent of patients with no medication, one kind of drug medication and two kinds of drag medication was 46.7%, 33.3% and 20.0% in the observation group and 32.0%, 8.0% and 60.0% in the control group. Conclusion Influenza vaccination exerted protective effect for medical staff and other people at high risk of emergency.