OBJECTIVE Hospital-acquired infections have emerged as an increasingly prominent and hard-to-com-pletely-avoid problem,with their complexity and challenges continuing to intensify.As a major public health con-cern,these hospital-acquired infections pose a serious threat to the safety of individuals within hospitals.Among the various routes of transmission,airborne transmission is one of the most important pathways leading to hospi-tal-acquired infections.A variety pathogenic viruses can attach to infectious respiratory particles produced by hu-man body and spread through these particles.Patients in hospitals,as the primary group releasing respiratory in-fectious particles,have behaviors(such as breathing,coughing,talking,etc.)that are closely related to the trans-mission,dissemination and spread of pathogenic microorganisms.It is generally believed that pathogens re-leased into the air by patients will propagate and spread with air currents,thereby elevating the risk of infection.In order to comprehensively safeguard the safety of healthcare workers and patients,and effectively curb the occur-rence of hospital-acquired infections,it is essential to investigate the impact of pathogen-releasing behaviors on the transmission of pathogenic microorganisms.This paper aims to review the research progress on the impact of pathogen-releasing behaviors of patients on the transmission of respiratory pathogenic microorganisms within healthcare buildings,as well as to provide an outlook for further research directions.

Natural products are an important source for innovative drugs,but unclear molecular targets and mechanisms limit their further development and application.The authors proposed a new method for the target identification of natural products based on proteolysis-targeting chimera(PROTAC)technology and quantitative proteomics,and established the targeted degradomics(TGDO) technology for the identification of weak-affinity tar-gets.This article summarizes the standardized workflow and the application of TGDO for target identification of natural products.

OBJECTIVE Hospital-acquired infections have emerged as an increasingly prominent and hard-to-com-pletely-avoid problem,with their complexity and challenges continuing to intensify.As a major public health con-cern,these hospital-acquired infections pose a serious threat to the safety of individuals within hospitals.Among the various routes of transmission,airborne transmission is one of the most important pathways leading to hospi-tal-acquired infections.A variety pathogenic viruses can attach to infectious respiratory particles produced by hu-man body and spread through these particles.Patients in hospitals,as the primary group releasing respiratory in-fectious particles,have behaviors(such as breathing,coughing,talking,etc.)that are closely related to the trans-mission,dissemination and spread of pathogenic microorganisms.It is generally believed that pathogens re-leased into the air by patients will propagate and spread with air currents,thereby elevating the risk of infection.In order to comprehensively safeguard the safety of healthcare workers and patients,and effectively curb the occur-rence of hospital-acquired infections,it is essential to investigate the impact of pathogen-releasing behaviors on the transmission of pathogenic microorganisms.This paper aims to review the research progress on the impact of pathogen-releasing behaviors of patients on the transmission of respiratory pathogenic microorganisms within healthcare buildings,as well as to provide an outlook for further research directions.

Natural products are an important source for innovative drugs,but unclear molecular targets and mechanisms limit their further development and application.The authors proposed a new method for the target identification of natural products based on proteolysis-targeting chimera(PROTAC)technology and quantitative proteomics,and established the targeted degradomics(TGDO) technology for the identification of weak-affinity tar-gets.This article summarizes the standardized workflow and the application of TGDO for target identification of natural products.

Inflammatory response,immunosuppression,and drug sensitivity have been reported to have a significant correlation with the disulfidptosis levels in cancer patients.However,the value of disulfidpto-sis in colorectal cancer therapy remains unclear.Therefore,we classified the CRC cells into different cell types using single-cell sequencing data and cell-specific markers and analyzed their relationship with the cell disulfidptosis level.We found that the high disulfidptosis regions were concentrated in epithelial-like CRC cells.Further exploration using the disulfidptosis and programmed cell death 1 inhibitor therapy treated differential expression genes indicated that CRC patients with high disulfidptosis levels exhibited a lower risk profile and increased sensitivity to immunotherapy.By using the spatial transcriptomic analy-sis,we found that ubiquinol-cytochrome c reductase core protein 1(UQCRC1),a disulfidptosis-related gene,is highly expressed in epithelial-like CRC cells and co-localized with immune-infiltrated tumor re-gions.Additional bioinformatic analyses and experimental validation further confirmed that UQCRC1 was downregulated in CRC tissues.Overexpression of UQCRC1 suppressed CRC cell proliferation and migra-tion.These findings indicate that UQCRC1 is a potential target for CRC diagnosis and treatment.

Inflammatory response,immunosuppression,and drug sensitivity have been reported to have a significant correlation with the disulfidptosis levels in cancer patients.However,the value of disulfidpto-sis in colorectal cancer therapy remains unclear.Therefore,we classified the CRC cells into different cell types using single-cell sequencing data and cell-specific markers and analyzed their relationship with the cell disulfidptosis level.We found that the high disulfidptosis regions were concentrated in epithelial-like CRC cells.Further exploration using the disulfidptosis and programmed cell death 1 inhibitor therapy treated differential expression genes indicated that CRC patients with high disulfidptosis levels exhibited a lower risk profile and increased sensitivity to immunotherapy.By using the spatial transcriptomic analy-sis,we found that ubiquinol-cytochrome c reductase core protein 1(UQCRC1),a disulfidptosis-related gene,is highly expressed in epithelial-like CRC cells and co-localized with immune-infiltrated tumor re-gions.Additional bioinformatic analyses and experimental validation further confirmed that UQCRC1 was downregulated in CRC tissues.Overexpression of UQCRC1 suppressed CRC cell proliferation and migra-tion.These findings indicate that UQCRC1 is a potential target for CRC diagnosis and treatment.

The cholinergic anti-inflammatory pathway(CAP)is a neuroimmunoregulatory pathway that has attracted much attention in recent years.This pathway releases acetylcholine(ACh)by activating the vagus nerve.The binding of ACh to α7 nicotinic acetylcholine receptor receptors on the surface of macrophages can inhibit the release of proinflammatory factors,so as to effectively regulate the inflammatory response in the body.CAP plays a key role in suppressing excessive inflammatory responses and maintaining immune balance,providing a potential therapeutic pathway for a variety of inflammatory immune diseases.Research progress on the physiological function of CAP and its activation and blocking methods are reviewed in this paper,in order to provide new methods and ideas for treatment of inflammation-related diseases and exploring therapeutic drugs targeting CAP pathway.

OBJECTIVE: This study aimed to evaluate the relationships of white blood cell (WBC) count, platelet (PLT) count, and PLT-to-WBC ratio (PWR) with muscle mass in Chinese older adults. METHODS: This cross-sectional analysis involved 4,033 Chinese older adults aged ≥ 65 years from the Healthy Ageing and Biomarkers Cohort Study. Muscle mass and total skeletal muscle mass index (TSMI) were measured by bioelectric impedance analysis. WBC, PLT, and PWR were measured using standard methods. Multivariate linear regression was used to examine the associations of WBC count, PLT count, and PWR with TSMI. RESULTS: High WBC count, PLT count, and PWR were associated with low TSMI, with coefficients of -0.0091 (95% confidence interval [ CI]: -0.0142 to -0.0041), -0.0119 (95% CI: -0.0170 to -0.0068), and -0.0051 (95% CI: -0.0102 to -0.0001). The associations between the three inflammatory indices and TSMI were linear. Stratified analyses indicated that the relationship between inflammatory markers and TSMI was more evident in male participants and in individuals aged < 80 years than in their counterparts. CONCLUSION Elevated WBC count, PLT count, and PWR correlated with muscle mass loss. This study highlights the importance of regular monitoring of inflammatory markers as a potential strategy for the screening and management of sarcopenia in older adults.
Humans ; Aged ; Male ; Female ; China ; Leukocyte Count ; Cross-Sectional Studies ; Platelet Count ; Aged, 80 and over ; Muscle, Skeletal/anatomy & histology* ; Independent Living ; Blood Platelets ; Leukocytes ; Sarcopenia

OBJECTIVE To explore the early detection of large vestibular aqueduct syndrome(LVAS)in children by applying several audiological indicators.METHODS Ninety-two children with hearing loss(aged 1-70 months)were enrolled and divided into an LVAS group(45 cases)and a control group(47 cases).Eleven audiological indicators were statistically analyzed:lateral of hearing loss,the degree of hearing loss,configuration of hearing loss;ABR air-conduction threshold;ABR air-bone gap;ASSR average threshold;ASSR thresholds at 0.5,1,2,and 4 kHz;and tympanogram type.Indicators showing significant two-group differences were used to construct a visualized multifactorial linear prediction model using the R language.RESULTS Nine indicators demonstrated statistically significant differences between groups(P<0.05):laterality,configuration of hearing loss,ABR air-conduction threshold,ASSR average threshold,ASSR thresholds at all frequencies(0.5,1,2,4 kHz),and tympanogram type.A prediction model was established.When the total model score ranged between 200 and 240 points,the predicted LVAS risk probability was 0.1 to 0.99.The consistency index(C-index)was 0.85,indicating good predictive ability of the model.CONCLUSION The identified nine audiological indicators are valuable for the early detection of LVAS in children.The developed model can estimate LVAS risk.After refinement,this model holds potential to support early clinical diagnosis and intervention.