Microglia are the central nervous system's resident myeloid-derived immune cells, which play a major role in the innate and acquired immunological responses of brain. In the maintenance of brain tissue function under both healthy and pathological conditions, microglia take a protective or damaging role, depending on cell phenotypes and functions. The traditional microglia classification of pro- or anti-inflammatory phenotypes refers to the profile of macrophages, hence the term “brain macrophages:has been drawn. More microglia phenotypes are being discovered as new technologies and research methods are developed, and the newly discovered microglia phenotypes are often disease-, brain region-, and function-specific, providing an important foundation for studying the pathological processes underlying the development of specific diseases and developing appropriate interventions. Here, we provide a retrospective review of recent advances in the study of phenotype and function of microglia, and analyze the microglial cell lineage composition and its heterogeneous function.

Objective To explore the independent risk factors that affect the overall survival(OS)of elderly patients with hepatocellular carcinoma(HCC,≥60 years old)and build a nomogram prediction model.Methods Clinical data of all elderly patients with HCC from the SEER database from 2005 to 2020 were downloaded from SEER database.In accordance with the inclusion and exclusion criteria,the screened patients were randomly assigned to a training group(70%)and a validation group(30%).The independent risk factors of elderly patients with HCC were determined by univariate and multivariate Cox regression analyses and further validated by Kaplan-Meier survival analysis.On the basis of the determined variables,nomograms were developed and verified to predict the OS of elderly patients with HCC at 6,12,and 24 months.The consistency index(C index),calibration curve,receiver's operating characteristic(ROC)curve,and area under curve(AUC)were used to evaluate the prediction efficiency and discrimination ability of the prediction model,and decision curve analysis(DCA)was used to evaluate the potential clinical application value of the nomogram.Results A total of 1134 elderly patients with HCC were included,with 793 in the training group and 341 in the validation group.Seven variables,including age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy,were identified as independent prognostic factors of this population.The constructed nomogram shows excellent prediction performance,with C indices of 0.745 in the training group and 0.704 in the validation group.The AUC values of the training group at 6,12,and 24 months were 0.785,0.788,and 0.798,respectively,and those of the validation group were 0.780,0.725,and 0.607,respectively.The calibration curve shows good consistency from the predicted survival probability to the actual probability.The ROC curve and DCA show that the nomogram proposed in this study has good prediction ability.Conclusion Age,clinical grade,clinical stage,M stage,tumor size classification,and radiotherapy are important influencing factors for the survival of elderly patients with HCC.The prediction model of prognosis nomogram constructed in this study has good predictive value,and it can be used to predict the OS of elderly patients with HCC,which could be helpful for individualized survival assessment and clinical management of these patients.

Objective To investigate the environmental contamination related to first patient with carbapenem-re-sistant Acinetobacter baumannii(CRAB)infection and the infection status of relevant patients in a newly established intensive care unit(ICU)of a hospital in Tibetan area,and analyze the transmission risk.Methods From the ad-mission in ICU of a patients who was first detected CRAB on November 15,2021 to the 60th day of hospitalization,all patients who stayed in ICU for＞48 hours were performed active screening on CRAB.On the 30th day and 60th day of the admission to the ICU of the first CRAB-infected patient,environment specimens were taken respectively 2 hours after high-frequency diagnostic and therapeutic activities but before disinfection,and after disinfection but before medical activities.CRAB was cultured with chromogenic culture medium.Results Among the 13 patients who were actively screened,1 case was CRAB positive,he was transferred from the ICU of a tertiary hospital to the ICU of this hospital on November 19th.On the 40th day of admission to the ICU,he had fever,increased frequency for sputum suction,and CRAB was detected.The drug sensitivity spectrum was similar to that of the first case,and he also stayed in the adjacent bed of the first case.64 environmental specimens were taken,and 9 were positive for CRAB,with a positive rate of 14.06％,8 sampling points such as the washbasin,door handle and bed rail were positive for CRAB after high-frequency diagnostic and therapeutic activities.After routine disinfection,CRAB was detected from the sink of the washbasin.Conclusion For the prevention and control of CRAB in the basic-level ICU in ethnic areas,it is feasible to conduct risk assessment on admitted patients and adopt bundled prevention and con-trol measures for high-risk patients upon admission.Attention should be paid to the contaminated areas(such as washbasin,door handle,and bed rail)as well as the effectiveness of disinfection of sink of washbasin.

Microglia are the central nervous system's resident myeloid-derived immune cells,which play a major role in the in-nate and acquired immunological responses of brain.In the ma-intenance of brain tissue function under both healthy and patho-logical conditions,microglia take a protective or damaging role,depending on cell phenotypes and functions.The traditional mi-croglia classification of pro-or anti-inflammatory phenotypes re-fers to the profile of macrophages,hence the term"brain macro-phages:has been drawn.More microglia phenotypes are being discovered as new technologies and research methods are devel-oped,and the newly discovered microglia phenotypes are often disease-,brain region-,and function-specific,providing an important foundation for studying the pathological processes un-derlying the development of specific diseases and developing ap-propriate interventions.Here,we provide a retrospective review of recent advances in the study of phenotype and function of mi-croglia,and analyze the microglial cell lineage composition and its heterogeneous function.

Hepatocellular carcinoma （HCC） is a common tumor in the digestive tract， the formation mechanism of which remains to be fully elucidated. Although surgery， radiation， chemotherapy， targeted therapy， and immunotherapy have achieved significant results in the treatment of HCC， these methods are accompanied by a considerable number of adverse reactions and complications. In recent years， Chinese medicine has shown remarkable efficacy in the treatment of HCC， and both basic experiments and clinical studies have confirmed the effectiveness of Chinese medicine， which exerts therapeutic effects via multiple components and multiple targets. However， the pathogenesis of HCC is exceptionally complex and not fully understood， which means that studies remain to be carried out regarding the specific mechanism of Chinese medicine in preventing and treating HCC. Network pharmacology and molecular biology can be employed to decipher the mechanism of Chinese medicine in the treatment of diseases. Studies have shown that Chinese medicine can regulate various pathways such as the mitogen-activated protein kinase （MAPK）， phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt）， Hedgehog， Wnt/β-catenin， nuclear factor-κB （NF-κB）， Janus kinase 2/signal transducer and activator of transcription 3 （JAK2/STAT3）， and transforming growth factor-β （TGF-β）/Smad signaling pathways. Chinese medicine can exhibit its anti-HCC effects by inducing cell apoptosis， inhibiting cell proliferation and migration， and blocking the cell cycle via the above pathways. However， the specific mechanisms remain to be systematically studied. This study comprehensively reviews the regulatory effects of Chinese medicine on HCC-related signaling pathways to reveal the molecular mechanisms of Chinese medicine in the treatment of HCC. This view holds the promise of providing new targets， new perspectives， and new therapies for HCC treatment and advancing the modernization and development of Chinese medicine.

AIM: To investigate the structural changes in anterior segment of cataract patients after phacoemulsification combined with intraocular lens(Phaco+IOL)implantation, and to analyze theirs correlation.METHODS: Retrospective case study. A total of 44 cases(88 eyes)of cataract patients who underwent Phaco+IOL surgery at ophthalmology department of the Peking University Third Hospital from January 2018 to December 2022 and consented to pre- and postoperative ultrasound biomicroscopy(UBM)were included. Patients' sex, age, axial length, corneal curvature, and IOL parameters were collected. UBM was utilized to measure various anterior segment parameters pre- and post-surgery, including anterior chamber depth(ACD), scleral ciliary process angle(SCPA), iris-lens contact distance(ILCD), maximum ciliary body thickness(CBTmax), and ciliary body thickness at 0 mm from the scleral spur(CBT0). The posterior chamber area(PCA)was calculated using Image J software.RESULTS: Significant increases in ACD 3.50(2.89, 3.68)mm, CBTmax 1.199±0.233 mm, CBT0 1.11(0.964, 1.23)mm, and PCA 1.21(0.926, 1.57)mm2 were identified postoperatively compared with preoperative values(all P<0.001). The postoperative ILCD was significantly reduced to 0.00(0.00, 0.794)mm(P<0.001). There was no significant change in the postoperative SCPA 37.9°(33.4°, 46.6°; P=0.908). The increase in PCA varied significantly between genders(P=0.045), with males showing a greater mean postoperative increase(0.679 mm2)than females(0.304 mm2). Age significantly correlated with postoperative SCPA, CBTmax, and CBT0(P=0.002, 0.004, 0.009, respectively).CONCLUSION: Phaco+IOL surgery resulted in an enlargement of the PCA, significant increases in ACD, CBTmax, and CBT0, and a reduction in ILCD. The post-surgery increase of PCA was influenced by multiple factors, with age, preoperative ACD and SCPA being positively correlated, and preoperative CBT0 being negatively correlated. No significant differences were observed in the impact of different IOL brands on the structural changes of the anterior segment.

The purpose of this study was to enrich the genomic information and provide a basis for further development and utilization of Polygonatum kingianum. The fresh rhizome of P. kingianum was used as the experimental material, and the full-length transcriptome was sequenced by PacBio Sequel platform. The final measured polymerase reads were 1 120 485, with a total of 77.73 GB of data. In NR database, 41 864 homologous sequence alignments were aligned to 5 species; 40 506 were annotated in the KOG database and classified into 26 categories based on their functionality; 69 060 GO annotated 32 functional groups divided into 3 categories: cellular components, molecular functions, and biological processes; 45 779 annotations were added to 145 metabolic pathways in the KEGG database. Among them, there are 127 identified transcripts related to polysaccharide synthesis in the glycolysis/gluconeogenesis metabolic pathway, 144 in the starch and sucrose metabolic pathway, 85 in the amino acid sugar and nucleotide sugar metabolic pathway, and 69 in the fructose and mannose metabolic pathway. In addition, 1 781 transcription factors were detected, distributed in 37 transcription factor families; 180 293 SSR loci were detected, among which single base repeats accounted for the most, accounting for 30.48% of all base repeats, and at least five base repeats, accounting for only 0.14% of single base repeats. The results of this study provide important data supporting for enriching the genomic information of P. kingianum and exploring its effective biosynthetic pathway.

Pulmonary fibrosis is a chronic and progressive lung disease that poses a threat to human health. Current treatment options are limited, highlighting the urgent need for more effective therapeutic strategies. Tetrandrine (TET), a bis-benzylisoquinoline alkaloid extracted from Stephania tetrandra, has been known for its anti-inflammatory and anti-fibrotic effects, but its specific mechanisms remain unclear. This study investigated the anti-fibrotic effects of TET in a chronic model of pulmonary fibrosis, aiming to delineate the molecular mechanisms underlying TET-mediated inhibition of fibroblast activation. The results showed that TET significantly alleviated the pathological changes in a murine model of multiple bleomycin-induced pulmonary fibrosis and effectively inhibited TGF-β1-induced fibroblast activation. Mechanistically, TET predominantly inhibited the TGF-β/SMAD signaling pathway and diminished intracellular reactive oxygen species (ROS) levels. Utilizing CRISPR-Cas9 library screening, we identified that angiotensin II type 1 receptor associated protein (AGTRAP) and membrane palmitoylated protein 6 (MPP6) played important roles in TET's suppressive impact of ROS levels, with the knockout of two genes attenuating TET's antifibrotic activity. All animal treatment procedures were approved according to the Committee on the Ethics of Animal Experiments of the Institute of Medicinal Biotechnology, Chinese Academy of Medical Sciences (IMB-20230406D507). This research not only elucidates the pharmacological mechanism of TET but also provides a novel therapeutic avenue for the treatment of pulmonary fibrosis.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.