Objective:This study aims to develop a rapid identification technique for various genotypes of extended-spectrum β-lactamase (ESBL) producing Escherichia coli using matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) in conjunction with machine learning algorithms. Methods:A total of 158 Escherichia coli strains were isolated from the clinical laboratory of the First Hospital of Jilin University from August 2018 to December 2022. Polymerase chain reaction (PCR) was employed to detect the CTX-M-1, CTX-M-8, CTX-M-9, and SHV genes. Mass spectral data of the bacterial strains were acquired by MALDI-TOF MS with a cooperative matrix of (E)-propyl α-cyano-4-hydroxycinnamate (CHCA-C3). Models based on random forest (RF), logistic regression (LR), and support vector machine (SVM) algorithms were constructed. The performance of the constructed models was evaluated using metrics including accuracy, sensitivity, specificity, and the area under the receiver operating characteristic curve (AUC). Mass spectral peaks exhibiting sensitivity and specificity exceeding 80% in the models were designated as characteristic peaks. To validate the efficacy of the cooperative matrix of CHCA-C3, clinical isolates of ESBL-producing Escherichia coli were analyzed by MALDI-TOF MS using the conventional CHCA matrix for comparative purposes. Results:Among the 158 strains of Escherichia coli, 91 strains produced ESBL, all of which were CTX-M genotype. The AUC values for the respective models were as follows: CTX-M-1 genotype exhibited AUC values of 0.98 for LR, 1.00 for RF, and 0.73 for SVM; CTX-M-9 genotype exhibited AUC values of 0.93 for LR, 0.99 for RF, and 0.76 for SVM; for CTX-M-8, all models achieved an AUC of 1.00, indicating excellent classification performance with respect to accuracy, specificity, and sensitivity. The characteristic mass spectral peaks associated with each genotype included: CTX-M-1 genotype at m/z 6 390; CTX-M-8 genotype at m/z 5 224, m/z 5 393, and m/z 9 021; CTX-M-9 genotype at m/z 5 161 and m/z 5 273. In the MALDI-TOF MS analysis conducted with the conventional CHCA matrix, the characteristic peak at m/z 9 021 for CTX-M-8 was the only one detected, with the characteristic peaks for CTX-M-1 and CTX-M-9 remaining undetected. Conclusion:The application of cooperative matrix of CHCA-C3 in conjunction with MALDI-TOF MS and machine learning algorithms facilitates the rapid and precise identification of extended-spectrum β-lactamase (ESBL)-producing Escherichia coli. This approach offers a feasible solution for evidence-based clinical therapy and the control of healthcare-associated infections.

To summarise the clinical experience of treating perimenopausal syndrome with self-prescribed Gengnian Formula （更年方）. It is believed that the key mechanism of perimenopausal syndrome is the imbalance of heart and liver， and it is common to see the syndrome of blazing of heart-liver fire， so the treatment should be based on calmness of qi and blood. It is advocated that using the method of clearing the heart and pacifying liver， prescribing Gengnian Formula as the basic formula， and modifying according to the symptoms， so as to regulate heart and liver and balance yin and yang.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective:To investigate the role of telomere length in the causal effects of immune-mediated diseases on liver fibrosis.Methods:Genome-wide association study (GWAS) data were extracted from open GWAS (https: //gwas.mrcieu.ac.uk) for a two-sample Mendelian randomization (MR) analysis. Five immune-mediated autoimmune diseases (rheumatoid arthritis, systemic lupus erythematosus, primary biliary cirrhosis, primary biliary cholangitis, and Crohn′s disease) individually and collectively were included as exposure factors, telomere length as a mediator, and liver fibrosis as the outcome. The Wald ratio and inverse variance weighted (IVW) methods were performed to assess causal effects. The MR-Egger intercept test was adopted to evaluate the level of horizontal pleiotropy. Multivariable MR was employed to quantify the proportion of the effect of immune-mediated diseases on liver fibrosis mediated by telomere length. And sensitivity analyses were performed to assess the robustness of the results.Results:The results of IVW analysis revealed that the overall category of immune-mediated diseases, rheumatoid arthritis, systemic lupus erythematosus, primary biliary cirrhosis, primary biliary cholangitis, and Crohn′s disease were causally related to the high risk of liver fibrosis, and the OR were 1.63 (95% confidence intervals (95% CI): 1.33 to 2.10), 1.28 (95% CI: 1.14 to 1.43), 1.34 (95% CI: 1.02 to 1.74), 1.36 (95% CI: 1.27 to 1.47), 1.37 (95% CI: 1.23 to 1.52), and 1.52 (95% CI: 1.15 to 2.01), respectively ( P<0.001, <0.001, =0.032, <0.001, <0.001, =0.003). Horizontal pleiotropy was detected in the association between Crohn′s disease and liver fibrosis (MR-Egger intercept test, P=0.025).The results of multivariable MR indicated that telomere length acted as a mediating factor in the causal relationship between liver fibrosis and the overall category of immune-mediated diseases, rheumatoid arthritis, systemic lupus erythematosus, primary biliary cholangitis ( OR=2.24, 95% CI: 1.41 to 3.56; OR=1.78, 95% CI: 1.03 to 3.06; OR=2.11, 95% CI: 1.31 to 3.40; OR=2.01, 95% CI: 1.06 to 3.80; P<0.001, =0.038, =0.002, =0.032, respectively ). Conclusion:The causal effects of the overall category of immune-mediated diseases, rheumatoid arthritis, systemic lupus erythematosus, and primary biliary cholangitis on liver fibrosis are mediated by telomere length.

Radiopharmaceuticals operate by combining radionuclides with carriers. The radiation energy emitted by radionuclides is utilized to selectively irradiate diseased tissues while minimizing damage to healthy tissues. In comparison to external beam radiation therapy, radionuclide drugs demonstrate research potential due to their biological targeting capabilities and reduced normal tissue toxicity. This article reviews the applications and research progress of radiopharmaceuticals in cancer treatment. Several key radionuclides are examined, including ²²³Ra, ⁹⁰Y, Lutetium-177 (¹⁷⁷Lu), ²¹²Pb, and Actinium-225 (²²⁵Ac). It also explores the current development trends of radiopharmaceuticals, encompassing the introduction of novel radionuclides, advancements in imaging technologies, integrated diagnosis and treatment approaches, and equipment-medication combinations. We review the progress in the development of new treatments, such as neutron capture therapy, proton therapy, and heavy ion therapy. Furthermore, we examine the challenges and breakthroughs associated with the clinical translation of radiopharmaceuticals and provide recommendations for the research and development of novel radionuclide drugs.
Humans ; Radiopharmaceuticals/therapeutic use* ; Neoplasms/radiotherapy* ; Radioisotopes/therapeutic use* ; Animals

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Objectives:To investigate the expression of signal-induced proliferation-associated 1 (SIPA1) in colorectal cancer tissues and its relationship with patient prognosis. To explore the effects of SIPA1 on proliferation and migration abilities, as well as the possible molecular mechanisms.Methods:Using The Cancer Genome Atlas (TCGA) database to analyze the differential expression of SIPA1 and conduct survival analysis. Then, plotting receiver operating characteristic curve (ROC) and prognosis calibration curve analysis to assess the predictive capability and accuracy of SIPA1 for patient prognosis. Subsequently, verifying the expression levels of SIPA1 in tumor tissues and adjacent normal tissues using immunohistochemistry (IHC) and western blot (WB) assays(from March 1, 2023, to May 1, 2024, pathological specimens of five colorectal cancer patients were selected from the tissue bank of affiliated hospital of Nantong University. tissue microarrays were constructed using both cancerous tissues and adjacent normal tissues), and exploring the correlation between SIPA1 and clinical pathological parameters. Next, establishing SIPA1 stable knockdown cell lines in colorectal cancer cell lines DLD1 and HCT116, and assessing the biological behavior changes of tumor cells after SIPA1 knockdown through cell proliferation, invasion, and migration experiments. Validating the impact of SIPA1 on colorectal cancer cell proliferation in vivo through subcutaneous xenograft experiments in nude mice. Exploring the potential pro-tumor mechanisms of SIPA1 through pathway enrichment analysis, and confirming these using WB experiments. The proliferation, invasion and migration of tumor cells were detected after adding PI3K activator. Lastly, conducting correlation analysis between SIPA1 and immune checkpoint, as well as the association with immune cells in the tumor microenvironment. Results:Differential analysis showed that mRNA expression of SIPA1 in colorectal cancer tissues was significantly higher than that in adjacent normal tissues ( P＜0.05). Prognostic analysis indicated that patients with high expression of SIPA1 had poor overall survival ( P＜0.001), and the expression level of SIPA1was correlated with lymph node invasion ( P＜0.001) and N stage ( P＜0.05). ROC curve and prognosis calibration curve suggest that SIPA1 can effectively predict five-year survival rate of patients (AUC=0.7), and the predictive performance of the model is relatively accurate ( P＜0.001). WB experiments showed a significant increase in the expression level of SIPA1 protein in colorectal cancer specimens ( P＜0.001). Immunohistochemistry results indicated higher staining scores of SIPA1 in tumor tissues. In vitro experiments demonstrated that SIPA1 knockdown significantly inhibited the proliferation, invasion, and migration capabilities of colorectal cancer cells. In DLD1 and HCT116 cells, the SIPA1-knockdown group exhibited significantly lower absorbance compared to the control group (0.89±0.01 vs. 1.57±0.02 and 0.72±0.01 vs. 1.31±0.03, respectively, both P＜0.001). The SIPA1-knockdown group also demonstrated a reduced number of migrated cells relative to the control group (197.93±16.64 vs. 518.48±29.15 and 171.83±12.49 vs. 446.00±21.81, respectively, both P＜0.001). Furthermore, the cell wound-healing rate was significantly lower in the SIPA1-knockdown group than that in the control group [(0.32±0.01)% vs. (0.61±0.01)% and (0.28±0.01)% vs. (0.75±0.01)%, respectively, both P＜0.001]. In vivo animal experiments suggested that SIPA1 knockdown could inhibit tumor growth [(460.35±57.47) mm3 vs (1 177.55±208.24)mm3, (0.76±0.11)g vs (1.43±0.08)g, P＜0.05]. Pathway enrichment analysis revealed significant enrichment of the receptor tyrosine kinase signaling pathway, and SIPA1 knockdown could inhibit the activation of the phosphatidylinositide 3-kinases (PI3K)/protein kinase B (PKB)/glycogen synthase kinase-3β (GSK3β) signaling pathway. The PI3K activator reversed the inhibitory effect of SIPA1 silencing on tumor cell proliferation, invasion and migration. Correlation analysis indicated that high expression of SIPA1 was associated with immune checkpoints and various immunosuppressive cells (all P＜0.05). Conclusions:SIPA1 is highly expressed in colorectal cancer and associated with poor prognosis. SIPA1 may affect the proliferation and migration abilities of tumor cells by regulating the PI3K/AKT/GSK3β signaling pathway.

BACKGROUND:Bile acid metabolism plays a crucial role in the development and progression of Crohn's disease.There is no research on changes in bile acid metabolism and key target genes following treatment with biological agents.OBJECTIVE:To investigate the expression characteristics of bile acid metabolism-related genes in patients with Crohn's disease,identify key genes associated with response to biological agents.METHODS:Transcriptome data were obtained through the GEO database to analyze differentially expressed genes between inflammation-control groups and inflammation-treatment groups.GO,KEGG,and GSEA enrichment analyses were used to evaluate the effects of biological agent therapy on bile acid metabolism.Protein-protein interaction network and WGCNA algorithm were employed to analyze differentially expressed genes,identifying modules closely related to biological agent treatment response,which led to the determination of UGT2A3 as a key gene in bile acid metabolism.In the inflammation group of the GSE186582 dataset,samples were divided into high and low expression groups based on UGT2A3 levels to study its relationship with immune infiltration and explore the interaction between UGT2A3 and the immune microenvironment.Clinical characteristics and intestinal manifestations were compared between high and low expression groups,and correlations between UGT2A3 and clinical indicators(C-reactive protein,erythrocyte sedimentation rate,Crohn's disease activity index,and Crohn's disease endoscopic activity score)were investigated.The competing endogenous RNA regulatory network of UGT2A3 was constructed,and its upstream miRNA was functionally enriched to explore the molecular mechanism of UGT2A3 in bile acid metabolism.Single-cell analysis and clustering were performed using high-throughput sequencing data of GSE134809 to observe the expression of UGT2A3 in different samples and cell populations.Colon tissue samples from untreated and biologic-treated Crohn's disease patients and healthy colon tissue samples from patients with intestinal polyps were collected,and UGT2A3 expression was detected by immunohistochemistry,qRT-PCR,and western blot assay.Fresh feces from Crohn's disease patients and healthy controls were collected to detect bile acid levels,and the relationship between UGT2A3 and fecal bile acid levels was analyzed.RESULTS AND CONCLUSION:A total of 11 bile acid metabolism-related genes were screened,showing significant changes in gene expression after biological agent therapy.GO and KEGG enrichment analyses revealed that intestinal nutrient absorption and metabolic processes normalized after treatment,while leukocyte chemotaxis and inflammatory response pathway activity decreased.GSEA analysis revealed significant enrichment of bile acid metabolism-related pathways after treatment.Protein-protein interaction network construction and WGCNA analysis identified UGT2A3 as a key gene closely associated with treatment response.UGT2A3 expression was significantly decreased in inflamed tissues of Crohn's disease patients and returned to normal levels after biological agent therapy.This result was confirmed in clinical specimens.UGT2A3 expression levels showed significant negative correlations with C-reactive protein,erythrocyte sedimentation rate,Crohn's Disease Activity Index,and Crohn's Disease Endoscopic Index of Severity.Receiver Operating Characteristic curve analysis demonstrated that UGT2A3 has good diagnostic value(Area Under Curve AUC=0.801 0)and effectively reflects treatment outcomes.Immune infiltration analysis showed significantly increased infiltration of various immune cells in samples with low UGT2A3 expression,and its expression levels negatively correlated with immune scores,microenvironment scores,and stromal scores.Compared with the low UGT2A3 expression group,patients with high expression showed less fecal occult blood and penetrating inflammation,with milder intestinal strictures and general condition severity.Fecal bile acid analysis revealed that UGT2A3 expression strongly negatively correlated with primary bile acid content and strongly positively correlated with secondary bile acid content.

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

BACKGROUND:Bile acid metabolism plays a crucial role in the development and progression of Crohn's disease.There is no research on changes in bile acid metabolism and key target genes following treatment with biological agents.OBJECTIVE:To investigate the expression characteristics of bile acid metabolism-related genes in patients with Crohn's disease,identify key genes associated with response to biological agents.METHODS:Transcriptome data were obtained through the GEO database to analyze differentially expressed genes between inflammation-control groups and inflammation-treatment groups.GO,KEGG,and GSEA enrichment analyses were used to evaluate the effects of biological agent therapy on bile acid metabolism.Protein-protein interaction network and WGCNA algorithm were employed to analyze differentially expressed genes,identifying modules closely related to biological agent treatment response,which led to the determination of UGT2A3 as a key gene in bile acid metabolism.In the inflammation group of the GSE186582 dataset,samples were divided into high and low expression groups based on UGT2A3 levels to study its relationship with immune infiltration and explore the interaction between UGT2A3 and the immune microenvironment.Clinical characteristics and intestinal manifestations were compared between high and low expression groups,and correlations between UGT2A3 and clinical indicators(C-reactive protein,erythrocyte sedimentation rate,Crohn's disease activity index,and Crohn's disease endoscopic activity score)were investigated.The competing endogenous RNA regulatory network of UGT2A3 was constructed,and its upstream miRNA was functionally enriched to explore the molecular mechanism of UGT2A3 in bile acid metabolism.Single-cell analysis and clustering were performed using high-throughput sequencing data of GSE134809 to observe the expression of UGT2A3 in different samples and cell populations.Colon tissue samples from untreated and biologic-treated Crohn's disease patients and healthy colon tissue samples from patients with intestinal polyps were collected,and UGT2A3 expression was detected by immunohistochemistry,qRT-PCR,and western blot assay.Fresh feces from Crohn's disease patients and healthy controls were collected to detect bile acid levels,and the relationship between UGT2A3 and fecal bile acid levels was analyzed.RESULTS AND CONCLUSION:A total of 11 bile acid metabolism-related genes were screened,showing significant changes in gene expression after biological agent therapy.GO and KEGG enrichment analyses revealed that intestinal nutrient absorption and metabolic processes normalized after treatment,while leukocyte chemotaxis and inflammatory response pathway activity decreased.GSEA analysis revealed significant enrichment of bile acid metabolism-related pathways after treatment.Protein-protein interaction network construction and WGCNA analysis identified UGT2A3 as a key gene closely associated with treatment response.UGT2A3 expression was significantly decreased in inflamed tissues of Crohn's disease patients and returned to normal levels after biological agent therapy.This result was confirmed in clinical specimens.UGT2A3 expression levels showed significant negative correlations with C-reactive protein,erythrocyte sedimentation rate,Crohn's Disease Activity Index,and Crohn's Disease Endoscopic Index of Severity.Receiver Operating Characteristic curve analysis demonstrated that UGT2A3 has good diagnostic value(Area Under Curve AUC=0.801 0)and effectively reflects treatment outcomes.Immune infiltration analysis showed significantly increased infiltration of various immune cells in samples with low UGT2A3 expression,and its expression levels negatively correlated with immune scores,microenvironment scores,and stromal scores.Compared with the low UGT2A3 expression group,patients with high expression showed less fecal occult blood and penetrating inflammation,with milder intestinal strictures and general condition severity.Fecal bile acid analysis revealed that UGT2A3 expression strongly negatively correlated with primary bile acid content and strongly positively correlated with secondary bile acid content.