Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

Objective To identify novel biomarkers for predicting the risk of latent tuberculosis infection(LTBI)activation using bio-informatics and machine-learning algorithms and to establish a risk model.Methods The GSE112104 and GSE193777 datasets were obtained from the Gene Expression Omnibus.Differential gene expression and weighted gene co-expression network analyses were per-formed to identify ferroptosis-related differentially expressed genes(FRG-DEGs)associated with LTBI activation.Three machine-learning algorithms,least absolute shrinkage and selection operator,support vector machine-recursive feature elimination,and random forest,were used to identify ferroptosis-related hub genes(FRG-hubs).The reliability of these genes was validated using independent validation datasets and reverse transcription polymerase chain reaction(PCR).A risk model was established using R software.Results In the GSE 112104 dataset,296 genes were upregulated and 1 569 genes were downregulated in active tuberculosis compared to those in LTBI.Among the LTBI progressors,506 genes were upregulated and 1 132 genes were downregulated.Weighted correlation network analysis identified five gene modules,with the blue module showing the strongest correlation with LTBI activation(cor=0.62,P=0.000 04),con-taining 1 340 genes.Intersections with 728 ferroptosis-related genes resulted in eight FRG-DEGs.The machine-learning algorithms iden-tified four FRG-hubs:PLA2G6,GLS2,JUN,and AMN,whose expression decreased with LTBI activation.Reverse transcription PCR con-firmed this trend.A risk model based on these genes yielded an area under the curve of 0.98 to 1.00.Conclusion This study successfully identified novel biomarkers for predicting the risk of LTBI activation and developed an accurate predictive risk model.

Objective:To construct a eukaryotic expression vector for bacteriophage D29 LysinB/Holin fusion protein and study its bactericidal efficacy against Mycobacterium tuberculosis ( Mtb) in a cell infection model. Methods:A recombinant plasmid pET32a-LysinB was constructed and induced to express LysinB. The polyclonal antibody against LysinB was prepared after the purification of LysinB. A recombinant plasmid pcDNA3.1(+ )-LysinB/Holin was constructed and transfected into mononuclear macrophages RAW264.7. After the expression of the prepared polyclonal antibody was identified, a cell infection model was established and the bactericidal efficacy of LysinB/Holin fusion protein was measured by acid-fast staining and colony counting.Results:The polyclonal antibody against LysinB was successfully prepared. The recombinant plasmid pcDNA3.1(+ )-LysinB/Holin could effectively express LysinB/Holin fusion protein in eukaryotic cells without inducing significant cytotoxicity. LysinB/Holin fusion protein was effective in killing Mtb in cells. Conclusions:The recombinant plasmid pcDNA3.1(+ )-LysinB/Holin has a better killing effect on intracellular Mtb without inducing obvious cytotoxicity against eukaryotic cells, showing a potential in the treatment of tuberculosis.

Laboratory medicine is an important subject of auxiliary clinical diagnosis, and the postgraduate education of clinical laboratory diagnostics is the key to cultivating high-end laboratory talents. This study analyses the differences in the postgraduate education model of clinical laboratory diagnostics between China and Australia from the four aspects of academic degree system, curriculum setting, teaching methods, and autonomous learning ability training and discusses the postgraduate education reform of laboratory medicine in China. With reference to the advanced experience of countries with a well-developed education system, the education reform in China can improve the comprehensive quality of postgraduate student in laboratory medicine and enhance the medical level of China.

This paper takes the teaching of pathogeny biology and clinical laboratory diagnostics for postgraduates in Shandong Second Medical University as examples. By constructing innovative thinking in scientific research, training research innovation skills, and establishing modular, multi-evaluation systems, a comprehensive training mode for scientific research and innovation ability of medical academic postgraduate students had been proposed, and the implementation and effects of this training mode were thoroughly explored. This mode is expected to bring a positive impact on the training of medical postgraduate students and improve their scientific research and innovation ability, thereby promoting the cultivation of more medical talents with a high degree of scientific research and innovation ability.

Currently, the teaching work for postgraduates mainly centers on specific disciplines, and there is a lack of effective connection between disciplines, which leads to the insufficient ability of postgraduates in effectively integrating and applying the knowledge of various disciplines and restricts the development of innovation ability. This paper proposes a program for the cultivation of innovation ability of postgraduate students in clinical laboratory diagnostics based on multi-disciplinary integration from the three aspects of curriculum setting, multi-disciplinary interactive platform construction, and tutor team construction, aiming at helping postgraduate students to enhance the ability of knowledge integration and application and form a comprehensive disciplinary perspective. Additionally, the paper explores the practical application and effect of the cultivation program, offering novel insights and approaches for talent cultivation in the realm of clinical laboratory diagnostics.

Weifang Medical University has taken the lead in setting up laboratory skills courses to train talents in Shandong Province, and held test skills competitions every year to test the effectiveness of learning. Based on the course of testing skills, medical humanistic literacy has been cultivated, and the basic knowledge and basic operation have been learned; taken the skill contest as the medium, the learning results have been tested and the professional skills have been strengthened. Through the combination of test skill course and test skill competition to cultivate applied test talents adapted to the times, it can meet the needs of all kinds of related posts.

Objective:To evaluate the feasibility and clinical efficiency of robot-assisted laparoscopic radical prostatectomy (RARP) via extraperitoneal PORT-free single incision approach.Methods:The data of 33 patients with prostate cancer underwent the extraperitoneal PORT-free single incision RARP from November 2020 to January 2021 in Sichuan Provincial People's Hospital was retrospectively reviewed. The average age was 66.7 (58-78) years, the median PSA was 20.77 (2.89, 56.44) ng/m, and the mean Gleason score was 7.0 (6.0-9.0). The mean prostate volume was 48.4 (25.0-220.0) ml. Clinical stage: 32 cases was in cT 2a-2cN 0M 0, 1 case in cT 3aN 0M 0. 16 cases had a history of operation. All 33 operations were performed by the same operator. All operations were performed by extraperitoneal PORT-free single-incision approach. The surgical condition, postoperative complication, pathology, and follow-up results were observed. Results:In this study, 33 operations were successfully completed without conversion to open or additional single hole channel instruments. The average operation time was 61.3 (38.0-120.0) min, with the mean intraoperative bleeding volume of 72.2 (45.0-220.0) ml and the mean bladder neck urethral anastomosis time of 11.7 (8.5-15.7) min. The mean postoperative hospital stay was 7.9 (6.0-15.0) d, the mean postoperative indwelling time of urinary catheter was 6.8 (6.0-14.0) d, and the mean postoperative evacuation time was 1.0 (0.5-3.0) d. The average incision length was 5.2 (4.6-5.8) cm. There was no obvious complications. The postoperative pathological stage: 21 cases were in < pT 3a, 12 cases were in ≥ pT 3a, and 6 cases (18.8%) had positive resection margin. 29 cases (88.9%) acquired satisfactory urinary continence after operation, and the frequency of urinary pad use was ≤ 1 tablet/day. Conclusions:The extraperitoneal single-incision RARP surgical channel without PORT is safe and feasible with a satisfying cosmetic effect, which saves costs and requires less specific channel device. Simultaneously, the new approach has strong replicability, short-term tumor control and urinary control effect with rapid postoperative recovery. However, the sample size of this study is relatively small, which needs further research and demonstration

Apoptosis is particularly important for the body to inhibit or eliminate Mycobacterium tuberculosis ( Mtb) infection. A series of mechanisms to regulate macrophage apoptosis are triggered after macrophages are infected by Mtb. In Mtb-infected macrophages, there are differentially expressed microRNAs (miRNAs), which can directly bind to the binding sites in the 3′-untranslated region (3′ UTR) of apoptotic genes to regulate the expression of apoptotic genes and the apoptosis of macrophages through the mitochondrial or death receptor pathway. This paper reviewed the miRNAs associated with the apoptosis of Mtb-infected macrophages and the major mechanisms.

The undergraduate four-year medical laboratory technology major aims to cultivate advanced medical application-oriented talents. The realization of this purpose depends on the construction of an innovative practical teaching curriculum system. This article combines the four modules of basic practice, professional practice, vocational skill practice, and innovative practice to improve the problems existing in the traditional practice teaching system, and proposes a "3+1" three-dimensional practice teaching model in order to adapt to the rapid development of medical laboratory technology.