Objective: To explore the relationship of physical activity (PA) and sedentary behavior (SB) with cardiorespiratory fitness (CRF) among middle schoold students in Tibet, so as to provide empirical references for improving the cardiorespiratory fitness and health levels of adolescents in Tibet. Methods: From August to December 2020, 1 225 junior and senior high school students were selected from 2 middle schools in Lhasa, Tibet Autonomous Region, using the stratified cluster random sampling method. Triaxial accelerometers were used to evaluate PA and SB behaviors, and the 20 meter shuttle run was employed to assess CRF among the middle school students. Isochronous substitution modeling was used to analyze the associations of SB, low intensity physical activity (LPA), and moderate vigorous physical activity (MVPA) with CRF, and the saturation threshold effect in the dose response relationship between MVPA and CRF was analyzed through restricted cubic spline and two stage linear regression. Results: After adjusting for covariates such as gender, body mass index and sleep quality score, isotemporal substitution analysis showed that among junior high school students aged 13-15, replacing 30 minutes of SB ( B =1.73) or LPA ( B =2.38) with MVPA were positively associated with CRF (both P <0.05). Among senior high school students aged 16-18, replacing SB ( B =0.99) or LPA ( B =1.38) with MVPA were also positively associated with CRF (both P <0.05). Restricted cubic spline and two piecewise linear regression analyses indicated that only middle school girls aged 13-18 exhibited a saturation threshold effect between MVPA and CRF (logarithmic likelihood ratio test=0.03), with the optimal CRF improvement observed at 60 minutes of MVPA per day ( B=0.13, P ＜ 0.01). Conclusions Reducing SB and LPA while increasing MVPA can improve CRF in Tibetan middle school students. To maximize CRF improvement, middle school girls should engage in at least 60 minutes of MVPA daily.

This study was aimed at exploring the epidemiological characteristics of plague,and the evolutionary relation-ships among the isolated plague strains in the Yunnan border area,to provide clues for further studying epidemic causes and ep-idemiological patterns.Plague epidemic data in the border area during the second epidemic period(1982-2007)were collected and analyzed with descriptive epidemiological methods.Whole genome sequences of 262 strains of Yersinia pestis in the border area were obtained for phylogenetic analysis.Plague outbreaks occurred in 17 counties(cities)among 25 border counties(cit-ies);a total of 552 epidemic foci and 123 human cases were identified.The 1.ORI2,1.ORI3,1.IN3,2.ANT and 2.MED geno-types were identified among Yersinia pestis isolated from the Yunnan border area,among which the 1.ORI2 population was dominant.A total of 258 strains of Yersinia pestis from the 1.OR12 population belonged to four subclusters.The Myanmar and Vietnam clade was embedded within the Yunnan clade in the overall phylogeny.The above results indicated that during the sec-ond period of the epidemic,the intensity of plague epidemics in Yunnan's border areas was high,showing a trend of devel-opment from west to south and east.Our findings indicated a risk of cross-border transmission of plague between Yunnan and neighboring countries;therefore,the surveillance,pre-vention,and control of plague in border areas should be strengthened.

Heterotypic cell-in-cell structures(heCICs)mediate unique non-autonomous cell death,which are widely involved in a variety of important pathological processes,such as tumorigenesis,pro-gression and clinical prognosis.Methylenetetrahydrofolata dehydrogenase 2(MTHFD2),one of the key enzymes of one-carbon metabolism,is highly expressed in a variety of tumor cells.In this study,in order to investigate the effect of MTHFD2 on the formation of heCICs,liver cancer cells and immune cells were first labeled separately by live cell dyes,and the heCIC model was established by using fluorescence mi-croscopy for cell imaging and analysis.After transiently knocking down MTHFD2 in cells by RNAi,we found that the ability of PLC/PRF/5 and Hep3B to form heCICs with immune cells was significantly in-creased(all P＜0.01).MTHFD2 recombinant expression plasmid was constructed by the homologous re-combination method,and MTHFD2 overexpression cell lines were further constructed.Then,the effect of MTHFD2 overexpression on the ability to form heCICs was detected by co-culturing the overexpression cell lines with immune cells.The results showed that the rate of heCIC formation was significantly re-duced after overexpression of MTHFD2(all P＜0.001).In conclusion,this study demonstrated that MTHFD2 is a negative regulator of heCIC formation,providing a research basis for targeting MTHFD2 to promote heCIC formation and enhance the in-cell killing of immune cells.

The research status of the actuation technology of wearable exoskeletons was introduced.Kinds of actuation technologies and actuators were analyzed in terms of advantage,disadvantage and applicable scenario.It's pointed out the actuation technology of wearable exoskeletons should be oriented to high-performance micro-motors,new actuators,actuation modularity and intellectualization.[Chinese Medical Equipment Journal,2024,45(4):104-110]

Tyrosine kinase inhibitors(TKIs)have emerged as the first-line small molecule drugs in many cancer therapies,exerting their effects by impeding aberrant cell growth and proliferation through the mod-ulation of tyrosine kinase-mediated signaling pathways.However,there exists a substantial inter-individual variability in the concentrations of certain TKIs and their metabolites,which may render patients with compromised immune function susceptible to diverse infections despite receiving theo-retically efficacious anticancer treatments,alongside other potential side effects or adverse reactions.Therefore,an urgent need exists for an up-to-date review concerning the biological matrices relevant to bioanalysis and the sampling methods,clinical pharmacokinetics,and therapeutic drug monitoring of different TKIs.This paper provides a comprehensive overview of the advancements in pretreatment methods,such as protein precipitation(PPT),liquid-liquid extraction(LLE),solid-phase extraction(SPE),micro-SPE(p-SPE),magnetic SPE(MSPE),and vortex-assisted dispersive SPE(VA-DSPE)achieved since 2017.It also highlights the latest analysis techniques such as newly developed high performance liquid chromatography(HPLC)and high-resolution mass spectrometry(HRMS)methods,capillary electro-phoresis(CE),gas chromatography(GC),supercritical fluid chromatography(SFC)procedures,surface plasmon resonance(SPR)assays as well as novel nanoprobes-based biosensing techniques.In addition,a comparison is made between the advantages and disadvantages of different approaches while pre-senting critical challenges and prospects in pharmacokinetic studies and therapeutic drug monitoring.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To investigate the clinical characteristics of carbapenem-resistant Pseudomonas aeruginosa (CRPA) infection in children and the risk factors for such infection. Methods A retrospective analysis was conducted among 60 children with CRPA infection (CRPA group) who were hospitalized in Shenzhen Children's Hospital,China Medical University,from January 2018 to September 2023,and 82 children with carbapenem-sensitive Pseudomonas aeruginosa infection during the same period were randomly selected as the control group. A multivariate logistic regression analysis was used to investigate the risk factors for CRPA infection. Results Among the 60 children with CRPA infection,31 (52％) were admitted to the intensive care unit (ICU),and the lower respiratory tract was the main detection site in 32 children (53％). The univariate analysis showed that sex,history of invasive treatment within 1 year,antibiotic use before admission,presence of underlying condition,ICU admission,invasive procedure after admission,antibiotic use for>14 days,and the type of antibiotics used of ≥3 were associated with CRPA infection (P<0.05). The multivariate logistic regression analysis showed that the history of invasive treatment within 1 year (OR=3.228,P<0.05),antibiotic use before admission (OR=4.052,P<0.05),antibiotic use for>14 days (OR=4.961,P<0.05),and the type of antibiotics used of ≥3 (OR=3.687,P<0.05) were independent risk factors for CRPA infection in children. Conclusions CRPA infection in children may be associated with a history of invasive treatment within the past year,antibiotic use before admission,duration of antibiotic use after admission,and the diversity of antibiotic types used.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

BACKGROUND:Semen cuscutae has the effect of tonifying the liver and kidney system and benefiting the essence.The main pathogenesis of osteoarthritis is deficiency of the liver and kidneys.Therefore,it is hypothesized that there is a link between semen cuscutae and osteoarthritis. OBJECTIVE:To explore the potential relationship between osteoarthritis and semen cuscutae and validate the mechanism of semen cuscutae based on the network pharmacology and molecular docking analysis. METHODS:First,the active ingredients and targets of semen cuscutae were screened in TCMSP,and the genes related to osteoarthritis were collected in the disease databases GeneCard's,OMIM and TTD.The intersected genes were taken and then subjected to a series of analyses and screened for hub genes.Through the enrichment analysis of hub genes,the pathway of semen cuscutae acting on osteoarthritis was selected.The role of hub genes was verified by molecular docking.Therefore,the appropriate active ingredients of semen cuscutae were selected for experimental verification. RESULTS AND CONCLUSION:There were 11 active ingredients of semen cuscutae,66 intersection target genes of semen cuscutae and osteoarthritis,and 12 hub genes,including tumor necrosis factor,interleukin 1B,TP53,RAC-alpha serine/threonine protein kinase(AKT1),vascular endothelial growth factor A,matrix metalloproteinase 9,prostaglandin peroxidase 2,cystatinase 3,epidermal growth factor,peroxisome proliferator-activated receptor gamma,interleukin 10,vascular cell adhesion factor 1.After the enrichment analysis of the hub genes,the classical inflammatory pathway,nuclear factor-κB signaling pathway,was selected for subsequent validation of semen cuscutae to alleviate osteoarthritic inflammation.Through the results obtained after molecular docking of each active ingredient and the hub gene of the pathway prostaglandin peroxidase 2,sesamin with the highest affinity was selected for subsequent cell experiments,and the experimental results confirmed that sesamin,the active ingredient of semen cuscutae,could reduce the expression of cyclooxygenase 2 by inhibiting the nuclear factor-κB signaling pathway induced by interleukin-1β.To conclude,sesamin,the active ingredient of semen cuscutae,reduces the expression of cyclooxygenase 2 by inhibiting the nuclear factor-κB signaling pathway induced by interleukin-1β,thereby improving inflammation in osteoarthritis and expanding the therapeutic effect of semen cuscutae in osteoarthritis.

Most chemical medicines have polymorphs. The difference of medicine polymorphs in physicochemical properties directly affects the stability, efficacy, and safety of solid medicine products. Polymorphs is incomparably important to pharmaceutical chemistry, manufacturing, and control. Meantime polymorphs is a key factor for the quality of high-end drug and formulations. Polymorph prediction technology can effectively guide screening of trial experiments, and reduce the risk of missing stable crystal form in the traditional experiment. Polymorph prediction technology was firstly based on theoretical calculations such as quantum mechanics and computational chemistry, and then was developed by the key technology of machine learning using the artificial intelligence. Nowadays, the popular trend is to combine the advantages of theoretical calculation and machine learning to jointly predict crystal structure. Recently, predicting medicine polymorphs has still been a challenging problem. It is expected to learn from and integrate existing technologies to predict medicine polymorphs more accurately and efficiently.