BACKGROUND:Micro-robots have the characteristics of small size,flexibility,and strong targeting,and can complete complex tasks in a single or clustered manner in a narrow environment.With the continuous optimization of materials,preparation processes,and driving approaches,they have shown increasingly important application value in the field of biomedicine. OBJECTIVE:To analyze the application of field-driven micro-robots in medical field and to look forward to their application prospect. METHODS:Using"microrobots,nanorobots,drivers,biomedical,medical"as Chinese keywords and"microrobots,micro-robots,nanorobots,micromachine,microswimmer,medical"as English keywords,WanFang Data and PubMed databases were searched,respectively.The search time range was from January 2010 to January 2024,and a small number of long-term articles were included.Through reading the titles and preliminarily screening the abstracts,the repetitive studies,low-quality journals,and irrelevant literature were excluded.After reading the entire text,66 papers were finally included for review. RESULTS AND CONCLUSION:Field-driven medical micro-robots mainly include magnetic,optical,thermal,ultrasonic,and multi-mixed factor-driven robots.Field-driven robots have been used in intestinal diagnosis,drug targeting therapy,and stem cell therapy.Medical micro-robots are currently only used in a small number of clinical applications,but most of which are still in the theoretical and experimental stages.Medical micro-robots will face many challenges in future,such as large-scale preparation,precise control of micro-robots,recycling or degradation in vivo,whether the materials used will cause adverse reactions to the human body,and the related minimally invasive medical procedures.

Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5％were gram-positive and 70.5％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)was 28.3％,76.7％and 77.9％,respectively.Overall,94.0％of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8％of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed 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 94.2％in the isolates from children and 95.7％in the isolates from adults.The resistance rate to carbapenems was lower than 13.1％in most Enterobacterales species except for Klebsiella,21.7％-23.1％of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1％to 13.3％.The prevalence of meropenem-resistant strains decreased from 23.5％in 2019 to 18.0％in 2022 in Pseudomonas aeruginosa,and decreased from 79.0％in 2019 to 72.5％in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.

Objective The aim of this study was to explore the natural history of Alzheimer's disease(AD)based on the multi-state Markov model and to provide methodological reference for the chronic diseases.Methods Based on the American public database ADNI,we constructed a three states Markov model to estimate the transition intensity,transition probability,influencing factors and sojourn time of different states.Survival curves and goodness of fit was obtained.Results Gender,age,FAQ,MMSE,CDRSB,ADAS13 and TMT-B-Time were important influencing factors in the natural history of AD.The mean sojourn time of NC and MCI was 7.502 and 11.621 years,respectively.Model fit can be accepted.Conclusion Multi-state Markov model has a good application value for the outcome prediction of multi-state chronic diseases such as AD.

Objective The shared random-effect model(SREM)was applied to study the reversion of mild cognitive impairment(MCI)to normal cognition(NC),to compare the predictive performance of different longitudinal cognitive markers for the reversion,and to evaluate the covariate effects of predictors.Methods The SREM model consisted of two sub-models:the longitudinal sub-model adopted linear mixed model to describe different longitudinal cognitive markers trajectories;and the survival sub-model used proportional risk model to fit the survival process.Goodness of fit was based on the log-likelihood value,and information criterion.AUC(area under the curve)was used to evaluate the predictive performance of different longitudinal cognitive markers,including MMSE,CDRSB,FAQ,ADAS11,ADAS13 and ADASQ4.Results There were 72(8.54%)of 843 patients with MCI reversed to NC at the end of follow-up.The log-likelihood value of the SREM model based on spline-PH-GH parameter distribution was the largest,and AIC and BIC were the smallest;the SREM model based on CDRSB score as longitudinal cognitive marker had the best fitting performance,with high AUC values at different times ranging from 0.797 to 0.852,and the lowest prediction error,ranging from 0.0427 to 0.0429.Age,gender,education level,marital status and APOEε4 gene affected the cognitive function and daily activity function.Six different longitudinal cognitive markers influenced the reversion.Conclusion CDR score was the best predictor of cognitive function and the reversion in MCI patients.Cognitive function and daily activity function can be used as dynamic monitoring indicators of MCI reversion.

Objective:To build an ideological and political education index system for undergraduate surgical nursing courses based on Taylor model, so as to provide references for the construction of ideological and political education in undergraduate surgical nursing.Methods:Through literature analysis, a preliminary index system for ideological and political education in undergraduate surgical nursing courses was constructed. From November 2021 to January 2022, 12 experts were selected for two rounds of correspondence. Indexes at all levels were screened, modified and improved, an ideological and political education index system for undergraduate surgical nursing courses was established.Results:The effective recovery rate of the two rounds of expert correspondence questionnaire was 100%, and the expert authority coefficient was 0.87. Kendall harmony coefficient of 2 rounds of correspondence was 0.193 and 0.411 ( P < 0.01), respectively. Finally, the ideological and political education index system for undergraduate surgical nursing courses included 4 first-level indexes (educational objectives, educational contents, educational methods, educational evaluation), 9 second-level indexes and 40 third-level indexes. Conclusions:The ideological and political education index system for undergraduate surgical nursing courses has good scientificity and reliability, providing references for construction of ideological and political education in undergraduate surgical nursing.

Objective The joint latent class model(JLCM)was applied to study the reversion of mild cognitive impairment(MCI)to normal cognition(NC),providing a methodology reference for the longitudinal study of chronic diseases.Methods The JLCM model consisted of three sub-models:the latent class sub-model adopted multi-class logistic regression to estimate the latent classes;the longitudinal process sub-model adopted linear mixed model to describe the longitudinal cognitive measurement;and the survival process sub-model adopted proportional risk model to fit the cognitive process.Goodness of fit was based on information criterion,posterior classification,comparison between predicted value and observed value and conditional independence assumption.Results The MCI population was divided into two latent classes based on the JLCM model,including 783(92.88%)and 60(7.12%),respectively.The latent class sub-model showed that gender,marital status,APOE4 and FAQ had statistical significance for the determination of latent classes.The longitudinal process sub-model showed male(β=-0.685,95%CI:-1.144,-0.226),being single(β=0.743,95%CI:0.200,1.286),not carrying APOE4(β=-1.201,95%CI:-1.636,-0.766)and without functional impairment(β=-1.868,95%CI:-2.095,-1.641)had higher MMSE scores.The survival process sub-model showed that high education level(HR=1.264,95%CI:1.134,1.395),being single(HR=1.593,95%CI:1.286,1.899)and not carrying APOE4(HR=0.453,95%CI:0.043,0.862)were protective factors for reversion to NC in MCI patients.Conclusion JLCM model has good application value in the study of chronic diseases such as cognitive impairment.

OBJECTIVE To analyze the dose-adjusted concentrations of Posaconazole oral suspension in patients undergoing hematopoietic stem cell transplantation （HSCT） and their influential factors. METHODS Data were collected from hospitalized HSCT patients admitted to the First Affiliated Hospital of Shandong First Medical University （Shandong Provincial Qianfoshan Hospital） from January 2021 to April whtwhm@yeah.net 2023 who took Posaconazole oral suspension for the prevention of invasive fungal disease （IFD） and received blood concentration of posaconazole. The rate of concentration attainment and clinical failure rate of posaconazole for the prevention of IFD were evaluated， and one-way and multiple linear regression analyses were performed for the influential factors of dose-adjusted concentrations （C0/D） of posaconazole. RESULTS A total of 44 patients were enrolled； the mean C0 of posaconazole in patients was （0.99±0.94） µg/mL， and 20 patients had a C0≥0.7 μg/mL， with a concentration attainment rate of 45.45% for the prevention of IFD； 13 cases were clinical failures， with a clinical failure rate of 29.55%. Of 24 patients who did not achieve C0/D of posaconazole for IFD prophylaxis， one patient was a clinical failure despite timely dose adjustment of posaconazole in seven patients； seven of the thirteen patients who did not undergo dose adjustment were clinical failures； and the remaining four patients were switched to other antifungal agents. The results of univariate analysis showed that gender， body mass index （BMI）， renal function， combined use of sodium phenytoin， omeprazole and metoclopramide had a significant effect on the C0/D of posaconazole （P＜0.05）； the results of multivariate linear regression analysis showed that gender， BMI and combined use of sodium phenytoin were the independent factors affecting the C0/D of posaconazole （P＜0.05）. CONCLUSIONS Significant individual differences are reflected in the blood concentration of Posaconazole oral suspension； gender， BMI and combined use of sodium phenytoin are independent factors affecting the C0/D of posaconazole.

Tuberculosis (TB) is one of the deadly diseases caused by Mycobacterium tuberculosis (Mtb), which presents a significant public health challenge. Treatment of TB relies on the combination of several anti-TB drugs to create shorter and safer regimens. Therefore, new anti-TB agents working by different mechanisms are urgently needed. FtsZ, a tubulin-like protein with GTPase activity, forms a dynamic Z-ring in cell division. Most of FtsZ inhibitors are designed to inhibit GTPase activity. In Mtb, the function of Z-ring is modulated by SepF, a FtsZ binding protein. The FtsZ/SepF interaction is essential for FtsZ bundling and localization at the site of division. Here, we established a yeast two-hybrid based screening system to identify inhibitors of FtsZ/SepF interaction in M. tuberculosis. Using this system, we found compound T0349 showing strong anti-Mtb activity but with low toxicity to other bacteria strains and mice. Moreover, we have demonstrated that T0349 binds specifically to SepF to block FtsZ/SepF interaction by GST pull-down, fluorescence polarization (FP), surface plasmon resonance (SPR) and CRISPRi knockdown assays. Furthermore, T0349 can inhibit bacterial cell division by inducing filamentation and abnormal septum. Our data demonstrated that FtsZ/SepF interaction is a promising anti-TB drug target for identifying agents with novel mechanisms.

[This corrects the article DOI: 10.1016/j.apsb.2023.01.022.].

Purpose To investigate and summarize the clinicopathological features,immunophenotype,diagnosis and differential diagnosis of anaplastic thyroid carcinoma(ATC).Methods The clinicopathological features and follow-up data of 15 patients with ATC were reviewed and retrospectively ana-lyzed,and the histological features,immunophenotypic,and molecular features were observed.Results There were 8 males and 7 females with a mean age of 63.5 years.The largest tumor diameter was 45.9 mm(range,20-73 mm).Macroscopically,the tumors appeared nodular or lobulated,mostly firm to hard,with a cut surface of gray-white or gray-yellow in color,and were accompanied by hemorrhage,necrosis,and cystic changes.Mi-croscopically,the tumor exhibited diverse structures and cellular morphology mainly composed of epithelioid,spindle,multinu-cleated giant cells,rarely rhabdoid morphology(2 cases)and heterologous osteosarcomtoid differentiation(1 case).Two cases showed squamous cell carcinoma morphology as well.Among them,there were pure ATC in 11 cases while three cases had mixed papillary thyroid carcinoma components and one case had coexisting high-grade differentiated thyroid carcinoma compo-nent.Cervical lymph node metastasis was present in 6 cases.CK(AE1/AE3)expression was observed in 80%of the cases while PAX8 expression was seen in53.3%.Varying degrees of BRAF(VE1)expression were found in 42.9%whereas weak focal TTF-1 expression occurred only in two cases;and all cases did not express TG.Overall,genetic testing was performed in 8 cases(53.3%).The TP53 gene was the most frequently muta-ted gene(5/8,62.5%),followed by the RAS(3/8,37.5%)and BRAF(3/8,37.5%)genes,while the TERT combined with PIK3CA gene was mutated in only one case.Moreover,multiple gene mutations occurred simultaneously in five cases.Of the total fourteen patients who underwent follow-up,the mean and median survival times were 13.9 and 5.0 months,respec-tively.The disease-specific mortality rate reached 78.6%.Conclusion ATC is extremely rare,displaying unique histolog-ical characteristics,often accompanied by various gene muta-tions.It has a poor prognosis;therefore,establishing a defini-tive pathological diagnosis provides valuable evidence for predic-ting patient outcomes and guiding clinical management.