Objective To systematically analyze the spatiotemporal distribution characteristics and epidemiological trends of tracheal, bronchus, and lung cancer (TBL) disease burden attributed to air pollution globally and in China and the United States from 1990 to 2021, and to assess the patterns of disease burden changes from 2022 to 2031 based on predictive models, providing a scientific basis for formulating targeted TBL prevention and control strategies. Methods Based on the Global Burden of Disease (GBD) 2021 database, we analyzed the disease burden data of TBL attributed to air pollution globally and in China and the United States from 1990 to 2021. R Studio 4.3.2 software was used to analyze the corresponding trends and the Bayesian age-period-cohort (BAPC) prediction model was used to predict the status of the disease burden of TBL attributed to air pollution in the world and in China and the United States from 2022 to 2031. Results In 2021, China had the highest number of deaths and disability-adjusted life years attributed to air pollution (211 400 patients and 4.8947 million person-years), followed by the United States (6 000 patients and 124 300 person-years). The age-standardized mortality rate (ASMR) and age-standardized disability-adjusted life years rate (ASDR) of TBL due to air pollution in the world and in China and the United States showed a decreasing trend. From 1990 to 2021, the ASMR and ASDR of TBL in China due to air pollution were much higher than those in the United States and the global average. In terms of gender, from 1990 to 2021, the disease burden of male patients with TBL attributed to air pollution was much higher than that of female patients. The BAPC prediction model showed that from 2022 to 2031, the ASMR and ASDR of TBL attributed to air pollution showed an upward trend globally, while they showed a downward trend in China and the United States. Conclusion Over the past 30 years, the air pollution-related TBL disease burden in the world and in China and the United States has continued to decline, but China's disease burden is still significantly higher than the global average. The disease burden in men far exceeds that in women, with men and the population aged ≥50 years being high-risk groups. In the future, the global disease trend may reverse and rise, while China and the United States are expected to continuously decline. However, precise prevention and control for high-risk groups remains a key challenge.

ObjectiveTo investigate whether the expression of Piezo1 in bulbar conjunctival fibroblasts contributes to the development of conjunctivochalasis （CCH）. MethodsPrimary bulbar conjunctival fibroblasts were obtained from CCH patients and normal control （NC） group by tissue block applanation. The cells were then purified and subjected to fibroblast identification. Immunohistochemical analysis was performed to assess Piezo1 expression in the bulbar conjunctival tissue of the NC and CCH groups. Immunofluorescence was used to detect the expression of Piezo1 in bulbar conjunctival fibroblasts in the CCH and NC groups， as well as the expression of matrix metalloproteinase-9（MMP-9） after the intervention of the Piezo1 agonist， Yoda1. qRT-PCR was used to detect the expression of mRNA of Piezo1 and MMP-9 in the CCH and NC groups， as well as the expression of mRNA of MMP-9 after the intervention of Yoda1. In addition， confocal microscopy was used to detect Ca²⁺influx in bulbar conjunctival fibroblasts in the NC group after Yoda1 intervention. Membrane clamp was used to detect the current amplitude of NC bulbar conjunctival fibroblasts after Yoda1 intervention to verify the functional expression of Piezo1. ResultsPrimary bulbar conjunctival fibroblasts were successfully cultured. Immunohistochemical analysis revealed elevated Piezo1 protein expression in the CCH group （P<0.01）. qRT-PCR analysis showed that Piezo1 mRNA expression was higher in the CCH group than in the NC group （P<0.01）， as was MMP-9 mRNA expression （P<0.01）. Furthermore， MMP-9 mRNA expression was higher in the CCH+Yoda1 group than in the CCH group （P<0.01）. Immunofluorescence staining for Piezo1 revealed enhanced fluorescence on the cell membranes of the CCH group compared with the NC group （P<0.05）， and the fluorescence of MMP-9 was enhanced by the addition of Yoda1 stimulation compared with that of the CCH group （P<0.05）. Confocal microscopy of NC group bulbar conjunctival fibroblasts after the addition of Yoda1 showed enhanced fluorescence of Piezo1 （P<0.05）. The addition of Yoda1 activated enhanced current amplitude， showed by membrane clamp detection of NC group bulbar conjunctival fibroblasts （P<0.000 1）. ConclusionMechanical damage produced by conjunctival tissues in conjunctivochalasis upregulates Piezo1 expression， and Piezo1 activation may amplify the mechanical damage caused by CCH.

Objective To analyze the disease burden and its changing trends of tracheal, bronchus, and lung cancer (TBL) attributable to high fasting plasma glucose (HFPG) in China from 1990 to 2021, and to provide key strategic evidence for the prevention and treatment of TBL. Methods Data related to TBL attributable to HFPG in China from 1990 to 2021 were collected from the Global Burden of Disease Study 2021 database, including mortality rate, disability-adjusted life years (DALYs), age-standardized rates, and other indicators. The Joinpoint regression model was applied to analyze the temporal trends of these indicators. Furthermore, the grey prediction model GM (1, 1) was used to forecast the disease burden of TBL attributable to HFPG in China from 2022 to 2031. Results From 1990 to 2021, the overall disease burden of TBL attributable to HFPG in China showed an upward trend. The total number of deaths, DALYs, crude mortality rate, age-standardized mortality rate, crude DALYs rate, and age-standardized DALYs rate increased from 4700, 121300 person-years, 0.40/100000, 0.61/100000, 10.31/100000, and 14.10/100000 in 1990 to 17400, 386500 person-years, 1.22/100000, 0.82/100000, 27.16/100000, and 17.72/100000 in 2021, with growth rates of 270.21%, 218.63%, 205.00%, 34.43%, 163.43%, and 25.67%, respectively. The increase rates among females were higher than those among males. Analysis using the Joinpoint regression model indicated that both the age-standardized mortality rate and age-standardized DALYs rate exhibited a significant upward trend, with average annual percentage changes (AAPC) of 1.01% and 0.82%, respectively, during 1990-2021 (P<0.05). The disease burden across different age and gender groups generally increased from 1990 to 2021. Mortality and DALYs rates for both males and females rose with advancing age, with elderly individuals and males constituting the primary affected populations. The GM (1, 1) grey prediction model projected continued increases in mortality rate, age-standardized mortality rate, DALYs rate, and age-standardized DALYs rate of TBL attributable to HFPG in China from 2022 to 2031, reaching 1.64/100000, 1.06/100000, 36.45/100000, and 21.81/100000, respectively, by 2031. Conclusion The disease burden of TBL attributable to HFPG remains substantial in China from 1990 to 2021, with males and elderly populations bearing the highest burden. However, the growth rate of disease burden is faster among females compared to males. It is predicted that the disease burden will continue to rise over the next decade, necessitating enhanced focus on early diagnosis and treatment for women and older adults.

Objective To analyze the virus subtypes, molecular evolutional and molecular transmission network features of the first confirmed mpox case in Huai’an City, Jiangsu Province, so as to provide insights into understanding of the transmission and evolution dynamics of mpox virus and formulation of the mpox control strategy in the city. Methods Genomic DNA was extracted from swabs of the first confirmed mpox case’s skin lesions in Huai’an City, and the amplicon sequencing library was constructed using the hypersensitive mpox virus whole-genome capture kit. High-throughput sequencing was performed using the GridION X5 nanopore sequencer on the Nanopore sequencing platform, and single nucleotide polymorphism (SNP) analysis of mpox virus genome sequences was performed following sequence assembly. In addition, phylogenetic analysis, genetic genealogy and molecular traceability analysis were performed. Results The virus whole genome sequence of the first confirmed mpox case was successfully obtained by high-throughput sequencing, with a full length of 197 182 bp, and was named hMpxV/China/JS-HA01/2023, which belonged to the clade IIb (West African clade) lineage B.1.3. Compared with the mpox virus reference sequence MPXV-M5312_HM12_Rivers-001 (GenBank accession number: NC_063383), the genome sequence of the Huai’an virus isolate carried 86 SNPs, including 40 SNPs in the coding region as non-synonymous mutations and 73 SNPs as nucleotide mutations caused by APOBEC3 (APOBEC3). Of the 97 mpox virus gene sequences, 79 sequences were included in the molecular network (81.44%), and the threshold of the genetic distance accessed to the network was 0.35/10⁵. There were two large molecular transmission clusters and one scattered cluster in the molecular transmission network of the mpox virus, andthehMpxV/China/JS-HA01/2023 sequence was located in the large cluster. The 97 gene sequences formed 92 haplotypes, including three shared haplotypes Hap_4, Hap_6 and Hap_38, and an exclusive haplotype Hap_1 of hMpxV/China/JS-HA01/2023 generated from mutation of the exclusive haplotype Hap_43, while the exclusive haplotype Hap_43 was generated from mutation of the shared haplotype Hap_38. Conclusions The whole genome sequence of the mpox virus isolated from the first confirmed mpox case in Huai’an City has been successfully obtained, and the molecular evolutionary and molecular transmission network characteristics of the virus have been preliminarily understood.

Objective: To investigate the sleep quality in patients with burning mouth syndrome (BMS) and its influencing factors, providing a basis for developing sleep intervention measures to reduce the impact of BMS symptoms. Methods: This study was reviewed and approved by the Medical Ethics Committee, and informed consent was obtained from patients. A total of 150 patients with BMS and 150 healthy volunteers were enrolled as subjects in this study. The Pittsburgh sleep quality index (PSQI) was used to assess the sleep quality of patients with BMS. Visual analog scale (VAS) was used to assess the degree of oral mucosal pain, generalized anxiety disorder 7-item scale (GAD-7) was used to assess the frequency of anxiety symptoms, and the patient health questionnaire depression questionnaire (PHQ-9) was used to assess the frequency of depression symptoms. Univariate analysis was performed to identify potential influencing factors affecting sleep quality in patients with BMS, and multiple linear regression analysis was employed to determine independent risk factors. Results: The PSQI score for patients with BMS was 7.61 ± 4.29, which was significantly higher than that of healthy controls (P = 0.016). In the PSQI subscale analysis, patients with BMS exhibited increased sleep latency, decreased sleep duration, and lower sleep efficiency compared to healthy controls (P<0.05). Patients with BMS and comorbid sleep difficulties had significantly higher scores on GAD-7 and PHQ-9 compared to the patients with BMS without sleep difficulties (P<0.001), but there was no significant difference in pain VAS scores between the two (P = 0.068). Multiple linear regression analysis revealed that longer disease duration (>6 months), the presence of systemic concomitant symptoms (such as headache and mental stress), and higher depression scores were identified as independent risk factors affecting sleep quality in patients with BMS. Conclusion For patients with BMS, long course of illness, presence of headaches, high mental stress, and depressive symptoms may be independent factors affecting their sleep quality.

BACKGROUND:Psoralen has a strong anti-osteoporotic activity and may have a restorative effect on chemotherapy-induced osteoporosis. OBJECTIVE:To explore the restorative effect of psoralen on the osteogenic differentiation of bone marrow mesenchymal stem cells in mice inhibited by cyclophosphamide and its mechanism. METHODS:C57BL/6 mouse bone marrow mesenchymal stem cells were isolated and cultured.Effect of psoralen on viability of bone marrow mesenchymal stem cells was detected by MTT assay.Osteogenic induction combined with alkaline phosphatase staining was used to determine the optimal dose of psoralen to restore the osteogenic differentiation of bone marrow mesenchymal stem cells inhibited by cyclophosphamide.The mRNA expression levels of Runx2,alkaline phosphatase,Osteocalcin,osteoprotegerin,and Wnt/β-catenin signaling pathway-related genes Wnt1,Wnt4,Wnt10b,β-catenin,and c-MYC were measured by RT-qPCR at different time points under the intervention with psoralen.The protein expression of osteogenic specific transcription factor Runx2 and Wnt/β-catenin signaling pathway related genes Active β-catenin,DKK1,c-MYC,and Cyclin D1 was determined by western blot assay at different time points under the intervention with psoralen. RESULTS AND CONCLUSION:(1)There was no significant effect of different concentrations of psoralen on the viability of bone marrow mesenchymal stem cells.The best recovery of the inhibition of osteogenic differentiation of bone marrow mesenchymal stem cells caused by cyclophosphamide was under the intervention of psoralen at a concentration of 200 μmol/L.(2)Psoralen reversed the reduction in osteogenic differentiation marker genes Runx2,alkaline phosphatase,Osteocalcin and osteoprotegerin mRNA expression and Runx2 protein expression in bone marrow mesenchymal stem cells caused by cyclophosphamide conditioned medium.(3)Psoralen reversed the decrease in Wnt/β-catenin pathway-related genes Wnt4,β-catenin,c-MYC mRNA and Active β-catenin,c-MYC,and Cyclin D1 protein expression and the increase in DKK1 protein expression in bone marrow mesenchymal stem cells caused by cyclophosphamide conditioned medium.(4)The results showed that cyclophosphamide inhibited osteogenic differentiation of bone marrow mesenchymal stem cells in mice,and psoralen had a restorative effect on it.The best intervention effect was achieved at a concentration of 200 μmol/L psoralen,and this protective effect might be related to the activation of Wnt4/β-catenin signaling pathway by psoralen.

Objective To integrate and analyze the disease burden of esophageal cancer caused by alcohol consumption in China from 1990 to 2019, along with the differences between genders, and predict the trends in disease burden changes from 2020 to 2029 to improve prevention and treatment strategies. Methods The disease burden of esophageal cancer caused by alcohol consumption in China from 1990 to 2019 was extracted and integrated from the 2019 Global Burden of Disease (GBD) database, and the corresponding trend was analyzed using the Joinpoint regression model with Joinpoint 4.9.1.0 software. The gray prediction model [GM (1, 1) ] was used to forecast the disease burden of alcohol-related esophageal cancer in China from 2020 to 2029. Results In 2019, the leading causes of esophageal cancer in China were tobacco, alcohol, high body mass index, and insufficient fruit and vegetable intake, accounting for the first to fifth positions in esophageal cancer deaths. From a gender perspective, in 2019, the death number and standardized mortality rate for males were 18.97 times and 20.00 times higher than for females, respectively. The disability-adjusted life years (DALYs) and standardized DALYs rate for males were 33.08 times and 24.78 times higher than those for females, respectively, indicating a heavier disease burden of alcohol-related esophageal cancer among Chinese males. From 1990 to 2019, the average annual percentage change (AAPC) in deaths and DALYs due to alcohol-related esophageal cancer in China was 2.08% and 1.63%, respectively, showing a continuous upward trend with statistical significance (P<0.05). The AAPC values for standardized mortality rate and standardized DALYs rate from 1990 to 2019 were –0.92% and –1.23%, respectively, showing a continuous downward trend with statistical significance (P<0.05). The population aged ≥55 years was the main group bearing the disease burden among all age groups from 1990 to 2019. The gray prediction model predicted that by 2029, the overall standardized mortality rate and standardized DALYs rate would decrease to 2.94/100 000and 67.94/100 000, with a greater decline in females than in males. Conclusion Over the past 30 years, the disease burden of alcohol-related esophageal cancer in China has slightly decreased. However, the reduction in disease burden is still lower compared to the overall decline in esophageal cancer burden, and the disease burden for males is significantly higher than for females. Focusing on prevention and treatment for males and the elderly population remains a major issue in addressing alcohol-related esophageal cancer in China.

Piezo1, a mechanosensitive nonselective cation channel characterized by multiple transmembrane domains, plays a critical role intransducing mechanical stimuli at the cellular membrane and participates in various physiological and pathological processes. Recent studies have established a significant association between Piezo1 and the occurrence and development of multiple ophthalmic disorders. Substantial evidence demonstrates that Piezo1 contributes to ocular disease progression by regulating fundamental cellular processes including proliferation, differentiation, apoptosis, and inflammatory responses, with particular relevance to glaucoma, corneal diseases, retinal disorders, and dry eye syndrome. Piezo1 has made rapid progress in ophthalmology, and has been established as an important mechanosensor in the eye, widely involved in intraocular pressure regulation, retinal function maintenance, corneal homeostasis and repair, and ocular development, and its dysfunction is closely related to the pathological mechanisms of many important blinding eye diseases. Consequently, Piezo1 is not only a key molecule for understanding ocular mechanobiology, but also represents a highly promising therapeutic target. Its study offers new perspectives for the development of novel therapeutic strategies against ocular diseases. This review systematically summarizes current research advances regarding Piezo1 channels in ophthalmology, analyzes their mechanistic involvement in disease processes, and evaluates their potential therapeutic value, thereby offering innovative perspectives for the clinical management of ocular diseases.

Objective To utilize single-cell and peripheral blood transcriptomic data from 3D brain organoids,combined with machine learning,to analyze the role of mitochondrial autophagy genes in schizophrenia(SCZ).Methods By integrating two machine learning algorithms,we identified differentially expressed mitochondrial autophagy-related genes between schizophrenia patients and healthy controls using peripheral blood RNA sequencing data.The relationship between mitophagy gene,immune cells and inflammatory factors was further explored.Comprehensive single-cell analysis was used to explore the signaling pathways and specific transcription factors based on mitophagy genes.Results Using machine learning,seven key mitophagy genes expressed in schizophrenia patients were identified.Based on Mitoscore analysis,at the single-cell level,neurons with high mitochondrial autophagy activity(Mitohigh_Neuron)formed new interactions with endothelial cells via the SPP1 signaling pathway.Conclusion This study identified two subtypes of mitophagy and seven key mitophagy genes in schizophrenia,providing new insights into the pathogenesis of the disease.

Delirium is a common cause and complication of hospitalization in the elderly and is associated with higher risk of future dementia and progression of existing dementia, of which 70% is Alzheimer's disease (AD). AD and delirium, which are known to be aggravated by one another, represent significant societal challenges, especially in light of the absence of effective treatments. The intricate biological mechanisms have led to numerous clinical trial setbacks and likely contribute to the limited efficacy of existing therapeutics. Artificial intelligence (AI) presents a promising avenue for overcoming these hurdles by deploying algorithms to uncover hidden patterns across diverse data types. This review explores the pivotal role of AI in revolutionizing drug discovery for AD and delirium from target identification to the development of small molecule and protein-based therapies. Recent advances in deep learning, particularly in accurate protein structure prediction, are facilitating novel approaches to drug design and expediting the discovery pipeline for biological and small molecule therapeutics. This review concludes with an appraisal of current achievements and limitations, and touches on prospects for the use of AI in advancing drug discovery in AD and delirium, emphasizing its transformative potential in addressing these two and possibly other neurodegenerative conditions.