ObjectiveTo investigate the mechanism of action of modified Shaofu Zhuyutang in antagonizing cellular pyroptosis and fibrosis in ectopic endometrial tissues of endometriosis through the Toll-like receptor 4/nuclear factor-κB/NOD-like receptor protein 3 （TRL4/NF-κB/NLPR3） signaling pathway. MethodsSeventy-two SPF-grade female SD rats were randomly divided into a sham-operated group （n = 12） and a modeling group （n = 60）. The rats in the sham-operated group underwent a caesarean section， while the rats in the modeling group were used to establish an endometriosis model through the auto-transplantation method. After successful modeling， the animals were randomly divided into the model group， progesterone group （0.25 mg·kg^-1）， and modified Shaofu Zhuyutang low-， medium-， and high-dose groups （7.5， 15， 30 g·kg^-1）， with 12 animals in each group. After 4 weeks of drug administration， voluntary activity and heat pain latency were observed. The rats were sacrificed for tissue collection， and Masson staining were used to observe histopathological changes in the endometrial tissues. Enzyme-linked immunosorbent assay （ELISA） was used to measure serum levels of interleukin-18 （IL-18）， interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， and transforming growth factor-β （TGF-β）. Immunohistochemistry （IHC） was used to detect the protein expression area of tumor necrosis factor-related factor 6 （TRAF6） and NLPR3 in the endometrial tissues. Immunofluorescence （IF） was used to detect the relative fluorescence intensity of Caspase-1 and gasdermin D （GSDMD） in the endometrial tissues. Western blot was employed to measure the relative expression of TRL4， myeloid differentiation factor 88 （MyD88）， TRAF6， NF-κB p65， phosphorylated NF-κB p65 （p-NF-κB p65）， and NLPR3 proteins in endometrial tissues. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of TRL4， MyD88， TRAF6， NF-κB， and NLPR3 in the endometrial tissues. ResultsCompared with the sham-operated group， rats in the model group showed reduced voluntary activity and shorter heat pain latency. Serum levels of IL-18， IL-1β， TNF-α， and TGF-β were elevated. The relative expression areas of TRAF6 and NLPR3 proteins were increased， and the relative fluorescence intensity of Caspase-1 and GSDMD was enhanced. The relative expression of TRL4， MyD88， TRAF6， NF-κB p65， p-NF-κB p65， and NLPR3 proteins， along with the expression of TRL4， MyD88， TRAF6， NF-κB， and NLPR3 mRNA， were significantly increased （P<0.01）. Compared with the model group， rats in the progesterone group and the modified Shaofu Zhuyutang medium- and high-dose groups exhibited improved voluntary activity， longer heat pain latency， the fibrosis of endometrial tissue is alleviated. Serum levels of IL-18， IL-1β， TNF-α， and TGF-β were decreased. The relative expression areas of TRAF6 and NLPR3 proteins decreased， and the relative fluorescence intensity of Caspase-1 and GSDMD weakened. The relative expression of TRL4， MyD88， TRAF6， p-NF-κB p65， NLPR3 proteins， and TRL4， MyD88， TRAF6， NF-κB， and NLPR3 mRNA expression were reduced （P<0.05， P<0.01）. ConclusionModified Shaofu Zhuyutang may play a therapeutic role in endometriosis by interfering with key proteins in the TRL4/NF-κB/NLPR3 signaling pathway， reducing NLRP3 inflammasome-induced cellular pyroptosis， antagonizing the fibrosis process in ectopic endometrial tissues， improving the inflammatory microenvironment in the pelvic cavity， and alleviating pain.

Objective: To analyze the expression of sigma factor in drug resistance gene mutations of Mycobacterium tuberculosis (MTB), so as to provide a reference for the drug resistance mechanism of tuberculosis. Methods: Clinical sputum specimens of outpatients at Tianjin Center for Tuberculosis from 2018 to 2022 were collected. A total of 899 MTB-positive strains were obtained by culture, and 492 phenotypically sensitive strains and 407 phenotypically resistant strains were identified by an in vitro phenotypic drug susceptibility test. Thirty drug-sensitive strains of MTB were randomly selected, and 98 drug-resistant strains with specific resistance phenotypes were chosen; all were subjected to melting curve analysis for detection of drug-resistance gene mutations. The strains were divided into sensitive strains without gene mutation, isoniazid-resistant strains with inhA mutation or katG mutation, rifampicin-resistant strains with rpoB mutation, and multigene mutation-resistant strains with inhA+rpoB mutation or katG+rpoB mutation. The mRNA relative expression of sigma factor was detected by fluorescence quantitative PCR, and the ratio of sigma factor mRNA relative expression between the experimental strain and the standard strain >2 was used to screen for highly expressed sigma factor. The differences in sigma factor mRNA relative expression and high expression rate between drug-resistant gene mutant strains and sensitive strains were analyzed. Results: Thirty sensitive strains and 90 drug-resistant strains were included. Among them, there were 16 strains with inhA mutation, 22 strains with katG mutation, 13 strains with rpoB mutation, 15 strains with inhA+rpoB mutation, and 24 strains with katG+rpoB mutation. Compared to the sigma factors of the sensitive strains, the mRNA expression levels of sigG and sigI in inhA-mutated strains, sigF, sigG, sigH, sigI, sigJ, and sigL in katG-mutated strains, and sigF, sigG, sigH, sigJ, and sigL in rpoB-mutated, inhA+rpoB-mutated, and katG+rpoB-mutated strains were significantly higher (all P<0.05). Additionally, the high-expression rates of sigI in inhA-mutated strains, sigF, sigG, sigI, sigJ, and sigL in katG-mutated and inhA+rpoB-mutated strains, and sigF, sigG, sigH, sigJ, and sigL in rpoB-mutated and katG+rpoB-mutated strains were also higher (all P<0.05). Conclusion Compared to sensitive MTB strains, sigI showed higher relative expression of mRNA and high-expression rate in inhA-mutated strains, and sigF, sigG, sigJ, and sigL had higher mRNA relative expression and high-expression rates in katG-mutated, rpoB-mutated, and multi-drug-resistant strains.

Forensic microbiology,a pivotal discipline within forensic science,focuses on microorganisms as the primary subject of study and applies life science technologies to analyze microbial evidence in criminal and civil investigations.Tissue source inference plays a crucial role in forensic investigations,facilitating case assessment and crime scene reconstruction.The application of microbiome analysis in tissue source inference benefits from the tissue specificity and spatiotemporal stability of human microbial communities.This article provides a systematic review of recent advances in tissue source inference based on microbiome analysis,covering technological development,research trends,and practical applications.Finally,the challenges confronted in practice in forensic microbiology and the future prospects for its development are summarized.

This study aims to elucidate the successful extubation process of a premature infant encountering difficulties due to an intracavicular knot at the proximal part of peripherally inserted central catheter (PICC). The reason for the difficulty in removing the catheter was determined by X-ray to be the knot at the proximal end of the PICC through the periphery. With the cooperation of a nurse specializing in static therapy and an interventional physician, the catheter was successfully removed based on the improved modified Sedinger technique .

This study aims to elucidate the successful extubation process of a premature infant encountering difficulties due to an intracavicular knot at the proximal part of peripherally inserted central catheter (PICC). The reason for the difficulty in removing the catheter was determined by X-ray to be the knot at the proximal end of the PICC through the periphery. With the cooperation of a nurse specializing in static therapy and an interventional physician, the catheter was successfully removed based on the improved modified Sedinger technique .

Objective　To investigate whether the expression regulation of regulatory gene Sigma factors (sigA-sigM) is related to isoniazid resistance phenotype in isoniazid-resistant Mycobacterium tuberculosis (MTB) caused by katG mutations, and to provide reference for the study of the molecular mechanism of isoniazid resistance. Methods　A total of 90 strains were collected from the patients undergoing first-line treatment at the Tianjin Tuberculosis Control Center during drug resistance testing from 2020 to 2022, of which 30 strains were sensitive strains without katG mutation, and 65 strains were isoniazid-resistant strains caused by katG mutation, including 11 strains resistant only to isoniazid, 24 strains resistant to both isoniazid and streptomycin, and 30 strains multidrug-resistant to isoniazid, streptomycin, and rifampicin. After the strains were collected on the isoniazid drug-containing medium, the RNA of the strains was extracted, and the relative expression levels of Sigma factors were detected by reverse transcription-polymerase chain reaction(RT-PCR). The expression differences of Sigma factors in different isoniazid drug-resistant phenotypes were analyzed by the Mann-Whitney U test. Results The gene expression levels of sigA, sigC, sigF, sigG, sigH, sigI, sigJ, sigK, sigL in isoniazid mono-resistant group were significantly higher than those in pan-isoniazid-sensitive group (Z=4.368, 5.701, 6.865, 4.021, 5.126, 2.670, 5.983, 4.701, 5.490, P all<0.001). The gene expression levels of sigA, sigC, sigF, sigG, sigH, sigI, sigJ, sigK, sigL in poly-resistance group were significantly higher than those in pan-sensitivity group (Z=-5.017, -4.670, -4.667, -5.456, -4.083, -5.393, -4.712, -6.971, -8.206, -5.211, P all<0.001). In multidrug-resistant (MDR) group, the gene expression levels of sigC, sigD, sigE, sigF, sigG, sigH, sigI, sigJ, sigK, sigL were significantly higher than those in pan-isoniazid-sensitive group (Z=-5.537, -4.003, -5.216, -7.328, -7.730, -5.658, -4.440, -6.036, -4.862, -4.312, P all<0.001). The expression levels of sigB, sigF, sigG showed statistically significant differences in gene expression between the isoniazid mono-resistant, isoniazid poly-resistant, and isoniazid multidrug-resistant groups (Z=10.139, 7.735, 14.532, P all<0.001). The expression rates of sigF, sigG, sigI, sigJ, and sigL in the isoniazid-resistant group were significantly higher than those in isoniazid sensitive group (χ2=17.410. 45.673. 57.661. 42.896. 26.363, P all<0.001). Conclusions sigF, sigG, sigI, sigJ, and sigL are associated with isoniazid resistance due to katG mutations.

Purpose/Significance The paper systematically reviews the application and research progress of large language models(LLMs)in the medical field,analyzes the key challenges and opportunities,and provides references for related research.Method/Process The systematic literature review method is adopted to comprehensively review the relevant literature published in recent years,fo-cusing on the latest progress of medical LLMs.The application results,research status and challenges of LLMs in medical natural lan-guage processing(NLP)tasks are analyzed.Result/Conclusion The application of LLMs in the medical field has a broad prospect,and the future research should focus on the technical progress and the improvement of ethical norms.On the one hand,the pace of technologi-cal innovation should be accelerated,and on the other hand,strict compliance with ethical standards should be ensured to jointly promote the sustainable development of LLMs technology in the medical field.

Objective To analyze the diagnosis status of negative etiological pulmonary tuberculosis test re-sults in Wuhan,and to provide scientific basis for improving the diagnosis strategy of etiological negative pul-monary tuberculosis.Methods From January 1 to February 28,2019,a total of 241 patients with negative eti-ological tuberculosis who were registered,reported and treated in 1 municipal and 2 district-level designated hospitals were selected.The medical record data,chest imaging examination and laboratory examination re-sults of the selected patients were reviewed and extracted,and the quality of etiological examination and ima-ging examination of patients with negative etiological pulmonary tuberculosis were analyzed.Results Among the 241 patients,88.8％(214/241)of the patients met the diagnostic criteria for negative etiological pulmona-ry tuberculosis,and 96.3％(232/241)of the patients had chest imaging examinations that were consistent with the original diagnostic results.Patients received sputum smear examination,sputum culture,and molecu-lar biology test accounted for 97.9％(236/241),73.9％(178/241)and 65.6％(158/241),respectively.Patients received anti-tuberculosis antibody test,tuberculin skin test,y-interferon release and diagnostic anti-infection treatment accounted for 54.8％(132/241),46.5％(112/241),26.1％(63/241),and 53.1％(128/241),respec-tively.The sputum culture detection rate of urban area was higher than those of central and remote urban are-as,the rate of central urban area was higher than that of remote urban areas,and the molecular biology detec-tion rate of urban area was higher than those of central and remote urban area,with statistical significance(P＜0.001).The detection rate of anti-tuberculosis antibody of urban area was lower than that of central ur-ban area,and the differences were statistically significant(P＜0.001).The rate of diagnostic anti-infective therapy of central urban area was higher than that of urban area and the remote urban area,and the rate in ur-ban area was higher than that of remote urban area,and the differences were statistically significant(P＜0.001).Conclusion It is necessary to further standardize the diagnosis of negative etiological pulmonany tu-berculosis of designated tuberculosis hospitals.The proportion of diagnostic anti-infection treatment and auxil-iary examination at the municipal level needs to be increased,and the frequency and items of laboratory etio-logical examination at the district level need to be increased.

BACKGROUND:Hydrogel microparticles,due to their porous and injectable properties,have demonstrated unique advantages in biomedical fields,such as the delivery of cells and bioactive factors/drugs,the construction of tissue repair scaffolds.They have broad application prospects. OBJECTIVE:To review the latest research progress and discuss the key problems and challenges in the research of bone tissue engineering based on hydrogel microparticles. METHODS:The relevant articles in PubMed and CNKI were searched by computer.The English key words were"hydrogels,microparticles,microspheres,microcarriers,bone,bone defect,bone repair,bone healing,bone tissue engineering"while the Chinese key words were"hydrogels,microparticles,microspheres,bone tissue engineering,bone defect,bone repair,bone regeneration".The retrieval period was from 2002 to 2022,and 127 articles were finally included for review. RESULTS AND CONCLUSION:(1)At present,various hydrogel microparticles have been developed for use in bone tissue engineering strategies,for example,hydrogel microparticles carrying cells or bioactive factors/drugs,hydrogel microparticles as biological scaffolds,stimulus-responsive hydrogel microparticles,biomineralized hydrogel microparticles,hydrogel microparticles combined with other biological materials.(2)Bone tissue engineering repair strategies based on hydrogel microparticles mainly regulate bone repair by promoting stem cell recruitment and osteogenic differentiation,regulating the local inflammatory microenvironment and promoting angiogenesis at the site of injury.However,the present studies did not deeply explore the effect of bone tissue engineering based on hydrogel microparticles on the recruitment and differentiation of endogenous stem cells and the regulation of the inflammatory microenvironment by the physical and chemical properties of hydrogel microparticles.The long-term in vivo adverse reactions of hydrogel microparticles have not been explored yet,and it is difficult to mass-produce them,thus future research needs to strengthen the mechanism exploration and technical route,so as to provide a reasonable reference for the development of hydrogel microparticles that can be used for clinical transformation.

Abstract: Objective　To understand the characteristics of mutations associated with resistance among 72 multidrug-resistant tuberculosis (MDR-TB) strains using whole genome sequencing (WGS) and to evaluate the performance of WGS for predicting MDR-TB drug resistance. Methods　The clinical strains isolated from patients who visited the outpatient department of Tianjin Center for Tuberculosis Control from January to September in 2020 were collected. Identification tests using p-nitrobenzoic acid (PNB) medium were performed. Drug susceptibility tests (proportion method) on L-J medium were performed. After excluding duplicate strains, 72 MDR-TB strains were selected for WGS. Data were analyzed by using online databases and the phenotypic drug susceptibility test results were compared with resistance profiles predicted by WGS. Results　All of 72 MDR-TB strains belonged to linage 2, and there was no significant difference in rate of pre-extensive drug-resistant tuberculosis (pre-XDR-TB) between modern type and ancestral type (χ2=0.287, P=0.592). A total of 81 mutation types were found from resistance-related genes for 12 anti-tuberculosis drugs, and the common mutation types in different drug-resistant strains were: streptomycin (SM): rpsL Lys43Arg; isoniazid (INH): katG Ser315Thr; rifampicin (RIF): rpoB Ser450Leu; ethambutol (EMB): embB Met306Val; ofloxacin (OFX), levofloxacin (LFX), moxifloxacin (MFX): gyrA Asp94Gly; kanamycin (KAM), capreomycin (CAP), amikacin (AMK): rrs 1401a>g; para-aminosalicylic acid (PAS): folC Ile43Thr. Nine mutation types were found in 9 prothionamide (PTO)-resistant strains, one type for each strain. The sensitivity and specificity of WGS for predicting resistance to different drugs were SM: 98.15% and 88.89%, INH: 90.28% and -, RIF: 98.62% and -, EMB: 79.49% and75.76%, OFX: 97.30% and 85.71%, KAM: 85.71% and 98.46%, PAS: 27.27% and 95.08%, PTO: 81.82% and 60.66%, CAP: 60.00% and 98.51%, LFX: 97.22% and 83.33%, MFX: 97.30% and 85.71%, AMK:100.00% and 100.00%, respectively. Conclusion　WGS is a rapid and promising method which has high consistency with the phenotypic drug sensitivity test. Therefore, it has good application prospects in predicting drug resistance in MDR-TB.