Background Lead is a typical persistent environmental pollutant that can accumulate in bones for decades. During pregnancy, alterations in calcium metabolism promote the mobilization of bone lead, resulting in secondary exposure; however, the mechanisms by which pregnancy-associated bone lead mobilization affects maternal renal function remain unclear. Objective To investigate the role of mitochondrial dysfunction in pregnancy-related bone lead mobilization-induced renal injury. Methods Newly weaned female Wistar rats were randomly assigned to a control or a lead-exposed group administered either 0.05% sodium acetate or 0.05% lead acetate in drinking water. Following a 4-week lead exposure and a 4-week washout period, the females were co-housed with healthy age-matched males for mating. Rats were sacrificed at early (gestational day 3) and late (gestational day 17) pregnancystages, respectively. Renal histopathology was assessed using hematoxylin and eosin staining staining. Mitochondria-related indicators, including oxidative stress, inflammatory responses, and energy metabolism, were measured. Differential metabolites were identified using serum metabolomics. Results Renal injury in the lead-exposed pregnant rats progressed in a time-dependent manner, characterized by degeneration of proximal tubular epithelial cells, glomerular hyaline changes, and interstitial inflammatory cell infiltration. Repeated measures ANOVA indicated a significant interaction between the treatment factor (lead exposure) and the temporal factor (gestational stage) on renal injury (P<0.001). Further analysis of mitochondrial function-related indicators in late-pregnancy renal tissue revealed that the lead exposure group exhibited significantly increased levels of malondialdehyde (MDA) and reactive oxygen species (ROS) (P<0.05), accompanied by a reduction in superoxide dismutase (SOD) and reduced glutathione (GSH) activities (P<0.05); regarding inflammatory markers, levels of interleukin-18 (IL-18) and interleukin-1β (IL-1β) were elevated (P<0.01), whereas interleukin-33 (IL-33) was decreased in the lead-exposed group (P<0.05); energy metabolism-related indicators, including adenosine triphosphate (ATP) level, Na⁺-K⁺-ATPase and Ca²⁺-Mg²⁺-ATPase activities, and mitochondrial respiratory chain complexes I, III, and V activities, were significantly reduced (P<0.05) in the lead-exposed gorup. The typical differential metabolite N-methylisoleucine, identified through serum metabolomics analysis, was negatively correlated with blood lead levels, kidney injury scores, and IL-1β, while positively correlated with catalase (CAT) activity and Ca²⁺-Mg²⁺-ATPase. Conclusions Mitochondrial dysfunction may play a critical role in renal injury induced by bone lead mobilization during late gestation.

AIM:To analyze the association between mobile phone addiction and high myopia among college students.METHODS:We conducted a cross-sectional questionnaire survey in December 2022 on all students of a university in Shaanxi Province, and the questionnaire included socio-demographic characteristics, mobile phone addiction, high myopia, and lifestyle. Binary Logistic regression model was used to analyze the association between mobile phone addiction and high myopia among college students.RESULTS:A total of 19 952 college students were included. The prevalence of high myopia was 7.31%. The rate of mobile phone addiction was 25.68%, and the mobile phone addiction score was 37.59±13.38. The incidence of high myopia among college students with mobile phone addiction was higher than non-mobile phone addiction(P<0.001). After adjusting for socio-demographic characteristics and lifestyle, the risk of high myopia among college students with mobile phone addiction was 1.274 times(95%CI:1.131-1.434)higher than non-mobile phone addiction. For each point increase of total mobile phone addiction score, withdrawal symptoms score, salience score, social comfort score, and mood changes score, the risk of high myopia among college students increased by 0.9%(95%CI:1.005-1.013), 2.0%(95%CI:1.010-1.030), 2.6%(95%CI:1.010-1.043), 4.8%(95%CI:1.030-1.066), and 3.3%(95%CI:1.014-1.052), respectively.CONCLUSION:Mobile phone addiction is significantly associated with the increased risk of high myopia among college students, and early intervention of mobile phone use may reduce the risk of high myopia among college students.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.

Objective To understand the distribution and drug resistance profiles of common clinical isolates in the intensive care unit(ICU)of a hospital in Xi'an.Methods A retrospective analysis was conducted on the antimicrobial susceptibility test results of clinical bacterial isolates in ICU of the Second Affiliated Hospital of Xi'an Jiaotong University from January 1,2020 to December 31,2022.Results A total of 3 649 clinical isolates were isolated from the ICU,including 1 344(36.8％)strains of Gram-positive bacteria and 2 305(63.2％)strains of Gram-negative bacteria.The most common bacterial species were Klebsiella spp.(14.8％,540/3 649),Enterococcus spp.(14.3％,522/3 649),coagulase-negative Staphylococcus(12.3％,448/3 649),Acinetobacter spp.(12.0％,438/3 649),and Escherichia coli(11.6％,424/3 649).The prevalence of methicillin-resistant Staphylococcus aureus(MRS A),methicillin-resistant Staphylococcus epidermidis(MRSE),and methicillin-resistant coagulase-negative Staphylococcus(MRCNS)was 76.1％,82.4％,and 69.9％,respectively.MRSA,MRSE,and MRCNS strains showed significantly higher antimicrobial resistance rates than MSSA,MSSE,and MSCNS except for trimethoprim-sulfamethoxazole.No Staphylococcus strains were found resistant to vancomycin or linezolid.Enterococcus faecium demonstrated higher antimicrobial resistance rates than Enterococcus faecalis.No Enterococcus isolates were found resistant to vancomycin.Two strains of linezolid-resistant E.faecalis were identified.Klebsiella pneumoniae showed high resistance rates to imipenem and meropenem(38.4％and 40.2％,respectively).Less than 2.0％of the Escherichia coli strains were resistant to imipenem and meropenem,while more than 10.0％of the Enterobacter cloacae were resistant to imipenem and meropenem.About 27.1％and 19.6％of the Pseudomonas aeruginosa strains were resistant to imipenem and meropenem,respectively.Acinetobacter baumannii showed high resistance rates to imipenem and meropenem(86.0％and 86.7％,respectively).Conclusions K.pneumoniae and A.baumannii strains isolated from the intensive care unit showed high resistance rates to carbapenems.Other species of Enterobacterales are still susceptible to carbapenems at a low resistance rate.Linezolid-resistant strain was identified in Enterococcus spp.No cross resistance to vancomycin was found in Enterococcus isolates.Therefore,it is necessary to strengthen the surveillance of antimicrobial resistance and use antibiotics reasonably for controlling hospital infections.

Based on the perspective of medical equipment safety culture,analyze the Global Patient Safety Report 2024 released by the World Health Organization(WHO)on May 30,and extract patient safety elements related to medical devices.Propose to initiate action plan for patient safety related to medical devices and discuss the pathway and measures to further ensure patient safety and strengthen safety management in the clinical use of medical devices,in conjunction with promoting high-quality development of hospitals.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in healthcare facilities in major regions of China in 2023.Methods Clinical isolates collected from 73 hospitals across China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2023 Clinical & Laboratory Standards Institute (CLSI) breakpoints.Results A total of 445199 clinical isolates were collected in 2023,of which 29.0％ were gram-positive and 71.0％ were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species (excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi) (MRSA,MRSE and MRCNS) was 29.6％,81.9％ and 78.5％,respectively.Methicillin-resistant strains showed significantly higher resistance rates to most antimicrobial agents than methicillin-susceptible strains (MSSA,MSSE and MSCNS).Overall,92.9％ of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 91.4％ of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis had significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 93.1％ in the isolates from children and and 95.9％ in the isolates from adults.The resistance rate to carbapenems was lower than 15.0％ for most Enterobacterales species except for Klebsiella,22.5％ and 23.6％ of which were resistant to imipenem and meropenem,respectively .Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.6％ to 10.0％.The resistance rate to imipenem and meropenem was 21.9％ and 17.4％ for Pseudomonas aeruginosa,respectively,and 67.5％ and 68.1％ for Acinetobacter baumannii,respectively.Conclusions Increasing resistance to the commonly used antimicrobial agents is still observed in clinical bacterial isolates.However,the prevalence of important crabapenem-resistant organisms such as crabapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a slightly decreasing trend.This finding suggests that strengthening bacterial resistance surveillance and multidisciplinary linkage are important for preventing the occurrence and development of bacterial resistance.

Objective To propose a human-machine coupling dynamics modeling method based on virtual muscles, so as to quantitatively analyze the characteristics of human-computer interaction force and muscle activation of the musculoskeletal system. Methods First, in the gait experiment of wearing exoskeleton, the human motion capture system and self-developed mechanical monitoring device were used to obtain the wearer’s walking dynamics, electromyography (EMG) signals, exoskeleton drive status and local human-computer interaction information. The human-machine coupling model was established in modeling environment of the bone system, and the gait experiment data and the exoskeleton joint torques were used as driving information of the coupling model to perform inverse mechanical calculations. Finally, by adjusting strength and stiffness parameters of the virtual muscles, the real data of the model was compared with the experimental test result, to quantitatively evaluate effectiveness of the human-machine coupling model of the lower extremity exoskeleton. Results The normal interaction force calculated by inverse dynamics of the coupled model and the activation of lower limb muscles had a good consistency in response curve trend compared with measurement results of the gait experiment, and the interaction force results had a high degree of correlation (r=0.931, P<0.01), the root mean square error was small, and the peak error of lower limb muscle activation was lower than 5%. Conclusions The human-machine coupling model proposed in this study can effectively calculate the interaction force between human and exoskeleton. The establishment of the coupling model provides a theoretical basis for verification and iteration of the exoskeleton structure optimization and control algorithm, as well as performance evaluation on mobility assistance effects of the exoskeleton.

G protein-coupled receptors (GPCRs) are involved in all human physiological systems where they are responsible for transducing extracellular signals into cells. GPCRs signal in response to a diverse array of stimuli including light, hormones, and lipids, where these signals affect downstream cascades to impact both health and disease states. Yet, despite their importance as therapeutic targets, detailed molecular structures of only 30 GPCRs have been determined to date. A key challenge to their structure determination is adequate protein expression. Here we report the quantification of protein expression in an insect cell expression system for all 826 human GPCRs using two different fusion constructs. Expression characteristics are analyzed in aggregate and among each of the five distinct subfamilies. These data can be used to identify trends related to GPCR expression between different fusion constructs and between different GPCR families, and to prioritize lead candidates for future structure determination feasibility.
Animals ; Computational Biology ; Crystallography, X-Ray ; Gene Expression ; Humans ; Plasmids ; genetics ; metabolism ; Protein Domains ; Receptors, Adrenergic, beta-1 ; Receptors, G-Protein-Coupled ; classification ; genetics ; metabolism ; Receptors, Odorant ; metabolism ; Receptors, Purinergic P1 ; genetics ; metabolism ; Sf9 Cells ; Spodoptera

Objective To study the clinical distribution and detection of the efflux pump gene in multiple drug-re?sistant acinetobacter baumannii. Methods The clinical distribution of 96 strains of multiple drug-resistant acinetobacter baumannii was analyzed. K-B method was used to detect 96 strains of multi resistant bauman resisted to 15 kinds of antibiot?ics. PCR amplification was used to detect the efflux pump gene. Results Ninety-six strains of multiple drug-resistant aci?netobacter baumannii mainly distributed in intensive care unit (ICU, 54.2%) and respiratory department (18.8%). The drug resistance rates to quinolone, cephalosporins, amino glucoside, tetracycline were above 70%. The 52 strains of multiple drug-resistant acinetobacter baumannii detected in ICU included 18 strains of adeB (34.62%), 16 strains of adeR (30.77%), 18 strains of adeS (34.62%), 18 strains of adeJ (34.62%), 0 strain of adeE and18 strains of adeM (34.62%). The18 strains of multiple drug-resistant acinetobacter baumannii detected in respiratory department included 9 strains of adeB, 8 strains of adeR, 8 strains of adeS, 8 strains of adeJ, 0 strain of adeE and 8 strains of adeM. Conclusion Efflux pump genes are impor?tant factors for multiple drug-resistant acinetobacter baumannii distributed in ICU and respiratory department.

Objective To expore multi-drug resistant Acinetobacter baumannii efflux pump phenotype and efflux pump gene expression in the resistant isolates. Methods Application of K-B method to detect 96 strains isolated from the First Hospital of Hebei Medical University multi-drug resistant Acinetobacter baumannii′ resistance to 15 kinds of antibacterial drugs, detecting multi-drug resistant Acinetobacter baumannii efflux pump phenotype with broth microdilution method by the addition of carbonyl cyanide chlorobenzene hydrazone ( CCCP) pump inhibitors,using PCR amplification and sequencing to study efflux pump protein gene sequence characteristics . Results The Acinetobacter baumannii resistance rate of 96 strains to quinolones, cephalosporins, aminoglycosides, tetracyclines were 70. 8%-94. 8%.There were 34 positive efflux pump phenotypes in 96 multi-drug resistant Acinetobacter baumannii strains, including 33 adeB strains, 32 adeR strains, 33 adeS strains, 33 adeJ strains,0 adeE strain,33 adeM strains, positive detection rate were 97. 06%, 94. 12%, 97. 06%, 97. 06%, 0, 97. 06%, respectively. By sequence comparison, adeB, adeR and adeS genes sequence homology was 100% in the GenBank. Conclusion Active efflux pump gene perturbation is one of the important factors in multi-drug resistant Acinetobacter baumannii.