Alzheimer's disease (AD), a progressive dementia, is one of the most common neurodegenerative diseases. Clinical trial results of amyloid-β (Aβ) and tau regulators based on the pretext of straightforward amyloid and tau immunotherapy were disappointing. There are currently no effective strategies for slowing the progression of AD. Herein, we spotlight the dysregulation of lipid metabolism, particularly the elevation of ceramides (Cers), as a critical yet underexplored facet of AD pathogenesis. Our study delineates the role of Cers in promoting microglial pyroptosis, a form of programmed cell death distinct from apoptosis and necroptosis, characterized by cellular swelling, and membrane rupture mediated by the NLRP3 inflammasome pathway. Utilizing both in vivo experiments with amyloid precursor protein (APP)/presenilin 1 (PS1) transgenic mice and in vitro assays with BV-2 microglial cells, we investigate the activation of microglial pyroptosis by Cers and its inhibition by icariin (ICA), a flavonoid with known antioxidant and anti-inflammatory properties. Our findings reveal a significant increase in Cers levels and pyroptosis markers (NOD-like receptor family, pyrin domain containing 3 (NLRP3), apoptosis-associated speck-like protein containing a caspase recruitment domain, caspase-1, gasdermin D (gasdermin D (GSDMD)), and interleukin-18 (IL-18)) in the brains of AD model mice, indicating a direct involvement of Cers in AD pathology through the induction of microglial pyroptosis. Conversely, ICA treatment effectively reduces these pyroptotic markers and Cer levels, thereby attenuating microglial pyroptosis and suggesting a novel therapeutic mechanism of action against AD. This study not only advances our understanding of the pathogenic role of Cers in AD but also introduces ICA as a promising candidate for AD therapy, capable of mitigating neuroinflammation and pyroptosis through the cyclooxygenase-2 (COX-2)-NLRP3 inflammasome-gasdermin D (GSDMD) axis. Our results pave the way for further exploration of Cer metabolism disorders in neurodegenerative diseases and highlight the therapeutic potential of targeting microglial pyroptosis in AD.

Objective To study the economic burden caused by healthcare-associated infection(HAI)in patients with severe acute pancreatitis(SAP),and provide theoretical basis for formulating HAI prevention and control measures.Methods Patients with SAP discharged from a tertiary first-class hospital in Jiangxi Province from July 1,2023 to June 30,2024 were selected as the study subjects.Information including demographic characteristics,clinical data,and hospitalization expense were collected.Patients were divided into a HAI group and a non-HAI group according to HAI occurrence.A propensity score matching(PSM)method was used to conduct a 1∶2 ma-tching,and differences in the length of hospital stay and hospitalization expense between the two groups of patients after PSM were compared.Results A total of 709 patients were included in the analysis,out of which 65 cases ex-perienced HAI,with a HAI incidence of 9.17％.After PSM,all 65 patients in the HAI group were successfully matched.The length of hospital stay,total hospitalization expense,expenses of medication and hygiene product of patients in the HAI group were all higher than those in the non-HAI group,and differences were all statistically sig-nificant(all P＜0.001).Patients who experienced≥2 episodes of HAI had a higher economic burden than those who experienced only once(P＜0.05).HAI of bloodstream,abdomen,digestive system,and respiratory system significantly increased the economic burden of patients(all P＜0.05).Conclusion HAI in SAP patients can extend the length of hospital stay and increase economic burden of patients.Targeted infection prevention and control mea-sures should be formulated to reduce the incidence of HAI and save medical resources.

Objective:To explore the application effects of improved case-based learning (CBL) combined with hierarchical and progressive teaching in the standardized training of nuclear medicine resident physicians.Methods:A total of 43 resident physicians who rotated in the nuclear medicine base of our hospital between 2018 and 2023 were selected as the research subjects and divided into an experimental group ( n=22) and a control group ( n=21) according to the order of enrollment. The control group received the traditional teacher-centered teaching model and was divided into junior and senior subgroups according to the training years. The experimental group received the improved CBL combined with hierarchical and progressive teaching. First, through multidimensional evaluation (theoretical testing + standardized case analysis), the students were scientifically divided into preliminary, intermediate, and advanced levels. Subsequently, progressive teaching objectives were set for different levels, and real clinical cases embedded with hierarchical learning tasks were published. During the teaching process, a dynamic discussion mode combining homogeneous and heterogeneous grouping was adopted, and personalized guidance was provided by the teachers. Finally, dynamic hierarchical adjustment was implemented through process evaluation. After the training, the two groups were compared in terms of exit assessment performance (including professional basic theory and practical skills) and teaching satisfaction. Results:The total score of the exit assessment of the experimental group was higher than that of the control group [(86.90±6.78) vs. (75.09±8.45)], and the difference was statistically significant. In terms of practical skill assessment, the experimental group scored higher than the control group in modules such as imaging symptom description [(22.34±2.56) vs. (19.85±3.12)], localization diagnosis [(23.01±2.11) vs. (20.12±2.98)], qualitative diagnosis [(22.89±2.67 vs. 18.67±3.45)], and differential diagnosis [(21.56±2.89) vs. (17.23±3.78)] ( P<0.01). The teaching satisfaction survey showed that the satisfaction scores of the experimental group were higher than those of the control group in nine domains, including theoretical knowledge mastery, clinical thinking, image interpretation, and learning initiative ( P<0.05). Conclusions:The improved CBL combined with hierarchical and progressive teaching can effectively improve the exit assessment performance, clinical practice skills, and teaching satisfaction of nuclear medicine resident trainees, and is worthy of promotion.

Objective:To explore the independent risk factors for uremic encephalopathy(UE)in maintenance hemodialysis(MHD)patients and provide evidence for early clinical warning and intervention.Methods:A case-control study was conducted,enrolling 67 MHD patients diagnosed with UE(UE group)at Laibin People's Hospital from January 2010 to December 2024,and 67 non-UE patients during the same period(control group).Demographic characteristics,dialysis parameters,laboratory indicators,and infection events were collected.Univariate and multivariate logistic regression analyses were used to identify independent risk factors for UE.Results:The UE group had significantly higher rates of infection(58.2％vs.29.9％),serum creatinine(789 vs.702 μmol/L),and iPTH levels(568 vs.385 pg/mL)compared to the control group(P＜0.05).Multivariate analysis revealed that concurrent infection(OR=3.022,95％CI:1.312-6.958),elevated serum creatinine(OR=1.004,95％CI:1.000-1.008),and elevated iPTH(OR=1.002,95％CI:1.001-1.003)were independent risk factors for UE(P＜0.05).The combined prediction model achieved an AUC of 0.878(95％CI:0.822-0.934),with 82.1％sensitivity and 80.6％specificity.Conclusion:Infection,elevated serum creatinine,and elevated iPTH significantly increase the risk of UE in MHD patients.Clinical management should emphasize infection prevention,toxin clearance optimization,and parathyroid function regulation to reduce UE incidence.

Objective:To establish a TaqMan-MGB probe-based method for detecting the polymorphic loci C677T and A1298C of the MTHFR gene.Methods:Specific primers and TaqMan-MGB probes targeting the C677T and A1298C polymorphic loci of the MTHFR gene were designed and optimized based on the gene sequence information.A real-time quantitative PCR detection system was established.Gradient dilution experiments were conducted to determine the limit of detection,and reproducibility experiments were performed to evaluate detection consistency.Specificity was validated using wild-type and mutant plasmid templates.The method was applied to detect 56 clinical samples,and its accuracy and practicality were assessed through comparison with traditional Sanger sequencing.Results:The TaqMan-MGB probe method demonstrated high specificity for detecting the C677T and A1298C loci,with no cross-reactivity between wild-type and mutant probes,enabling accurate genotype differentiation.Sensitivity experiments revealed detection limits of 1.13 × 103 copies/μL for C677T and 8.39 × 101 copies/μL for A1298C.Reproducibility experiments showed coefficients of variation below 1％,indicating stable and reliable results.Among the 56 clinical samples,the overall detection rate for the C677T locus was 86.99％,and for the A1298C locus,it was 97.92％.The TaqMan-MGB method exhibited good concordance with Sanger sequencing results.Conclusion:The TaqMan-MGB method exhibits high specificity,sensitivity,and excellent reproducibility in detecting the polymorphic loci C677T and A1298C of the MTHFR gene,making it suitable for rapid detection in large-scale clinical samples.This method provides an effective molecular diagnostic tool for the early diagnosis and prevention of folate-related diseases.

Alzheimer's disease(AD),a progressive dementia,is one of the most common neurodegenerative dis-eases.Clinical trial results of amyloid-β(Aβ)and tau regulators based on the pretext of straightforward amyloid and tau immunotherapy were disappointing.There are currently no effective strategies for slowing the progression of AD.Herein,we spotlight the dysregulation of lipid metabolism,particularly the elevation of ceramides(Cers),as a critical yet underexplored facet of AD pathogenesis.Our study delineates the role of Cers in promoting microglial pyroptosis,a form of programmed cell death distinct from apoptosis and necroptosis,characterized by cellular swelling,and membrane rupture mediated by the NLRP3 inflammasome pathway.Utilizing both in vivo experiments with amyloid precursor protein(APP)/presenilin 1(PS1)transgenic mice and in vitro assays with BV-2 microglial cells,we investigate the activation of microglial pyroptosis by Cers and its inhibition by icariin(ICA),a flavonoid with known antioxidant and anti-inflammatory properties.Our findings reveal a significant increase in Cers levels and pyroptosis markers(NOD-like receptor family,pyrin domain containing 3(NLRP3),apoptosis-associated speck-like protein containing a caspase recruitment domain,caspase-1,gasdermin D(GSDMD),and interleukin-18(IL-18))in the brains of AD model mice,indicating a direct involvement of Cers in AD pathology through the induction of microglial pyroptosis.Conversely,ICA treatment effec-tively reduces these pyroptotic markers and Cer levels,thereby attenuating microglial pyroptosis and suggesting a novel therapeutic mechanism of action against AD.This study not only advances our un-derstanding of the pathogenic role of Cers in AD but also introduces ICA as a promising candidate for AD therapy,capable of mitigating neuroinflammation and pyroptosis through the cyclooxygenase-2(COX-2)-NLRP3 inflammasome-gasdermin D(GSDMD)axis.Our results pave the way for further exploration of Cer metabolism disorders in neurodegenerative diseases and highlight the therapeutic potential of tar-geting microglial pyroptosis in AD.

Objective To study the economic burden caused by healthcare-associated infection(HAI)in patients with severe acute pancreatitis(SAP),and provide theoretical basis for formulating HAI prevention and control measures.Methods Patients with SAP discharged from a tertiary first-class hospital in Jiangxi Province from July 1,2023 to June 30,2024 were selected as the study subjects.Information including demographic characteristics,clinical data,and hospitalization expense were collected.Patients were divided into a HAI group and a non-HAI group according to HAI occurrence.A propensity score matching(PSM)method was used to conduct a 1∶2 ma-tching,and differences in the length of hospital stay and hospitalization expense between the two groups of patients after PSM were compared.Results A total of 709 patients were included in the analysis,out of which 65 cases ex-perienced HAI,with a HAI incidence of 9.17％.After PSM,all 65 patients in the HAI group were successfully matched.The length of hospital stay,total hospitalization expense,expenses of medication and hygiene product of patients in the HAI group were all higher than those in the non-HAI group,and differences were all statistically sig-nificant(all P＜0.001).Patients who experienced≥2 episodes of HAI had a higher economic burden than those who experienced only once(P＜0.05).HAI of bloodstream,abdomen,digestive system,and respiratory system significantly increased the economic burden of patients(all P＜0.05).Conclusion HAI in SAP patients can extend the length of hospital stay and increase economic burden of patients.Targeted infection prevention and control mea-sures should be formulated to reduce the incidence of HAI and save medical resources.

Objective:To summarize the applications of machine learning (ML) in sarcopenia research through bibliometric analysis.Methods:Literature on ML applications in sarcopenia research was retrieved on the Web of Science database from its inception to December 2024, along with quality assessment. The CiteSpace software was used to conduct bibliometric analysis of the included literature in terms of publication volume, journals, countries, institutions, authors, co-citations, and keywords.Results:A total of 753 articles were obtained, with 480 being of high quality. There was an overall upward trend in the publication volume from 1999 to 2024. The United States led in total publications (119), with China ranking second (97). At the institutional level, Harvard Medical School led globally (14 publications). Kyung Won Kim had the highest publication count (10), and Alfonso J. Cruz-Jentoft was the most cited author (173 citations). His 2019 paper in Age and Ageing achieved the highest co-citation count. J Cachexia Sarcopenia (with a citation frequency of 208) and Age and Ageing (with a centrality of 0.22) were journals with high impacts in this field. "Body composition" (78 occurrences) was the most frequently occurring keyword apart from the search terms, followed by "computed tomography" (54 occurrences) and "mortality" (47 occurrences). The keyword clustering labels include "prognostic value" (first) and "sarcopenia prediction" (second). Conclusions:Current research hotspots involve applying ML to the diagnosis, risk stratification, prognostic prediction, and health management of sarcopenia. Future trends will focus on its deep integration into comprehensive sarcopenia management and on innovating multimodal data-driven algorithms to improve performance and validation.

Objective:To summarize the applications of machine learning (ML) in sarcopenia research through bibliometric analysis.Methods:Literature on ML applications in sarcopenia research was retrieved on the Web of Science database from its inception to December 2024, along with quality assessment. The CiteSpace software was used to conduct bibliometric analysis of the included literature in terms of publication volume, journals, countries, institutions, authors, co-citations, and keywords.Results:A total of 753 articles were obtained, with 480 being of high quality. There was an overall upward trend in the publication volume from 1999 to 2024. The United States led in total publications (119), with China ranking second (97). At the institutional level, Harvard Medical School led globally (14 publications). Kyung Won Kim had the highest publication count (10), and Alfonso J. Cruz-Jentoft was the most cited author (173 citations). His 2019 paper in Age and Ageing achieved the highest co-citation count. J Cachexia Sarcopenia (with a citation frequency of 208) and Age and Ageing (with a centrality of 0.22) were journals with high impacts in this field. "Body composition" (78 occurrences) was the most frequently occurring keyword apart from the search terms, followed by "computed tomography" (54 occurrences) and "mortality" (47 occurrences). The keyword clustering labels include "prognostic value" (first) and "sarcopenia prediction" (second). Conclusions:Current research hotspots involve applying ML to the diagnosis, risk stratification, prognostic prediction, and health management of sarcopenia. Future trends will focus on its deep integration into comprehensive sarcopenia management and on innovating multimodal data-driven algorithms to improve performance and validation.

Objective:To investigate the expression pattern of pan-TRK protein in colorectal cancers with NTRK gene fusion and mismatch repair deficient (dMMR) and to analyze its molecular pathological characteristics.Methods:A total of 117 dMMR colorectal cancers diagnosed in the Department of Pathology of Henan Provincial People′s Hospital, Zhengzhou, China from 2020 to 2023 were collected. Immunohistochemistry (IHC), fluorescence in situ hybridization (FISH) and DNA/RNA-based next-generation sequencing (NGS) were used to detect pan-TRK protein expression and fusion partner genes in tumors, and to further explore the correlation between pan-TRK staining patterns and partner genes.Results:IHC and FISH were performed successfully in formalin-fixed paraffin-embedded tissues from 117 dMMR colorectal cancer patients. There were 15 (15/117, 12.8%) cases with positive pan-TRK, including 6 cases with strong staining in tumor cell membrane and cytoplasm, 2 cases with weakly granular staining in tumor cytoplasm, 2 cases with moderate dot-like staining in near 5% tumor cell nuclei, 1 case with moderately to strongly granular staining in the cytoplasm and membrane of tumor cells, 1 case with moderately to weakly granular staining in about 60% of the tumor cells, 1 case with strongly staining in about 1% of the tumor cells, 1 case with moderately to strongly staining in about 3% of the tumor cells and 1 case with diffuse, moderate para-nuclear dot-like and weakly perinuclear granular staining. NTRK1 gene disruption was detected in 6 cases (6/117, 5.1%) and consistent with diffusely strong expression of pan-TRK. Based on DNA/RNA NGS, it was further confirmed that the 6 cases with NTRK1 gene disruption all carried TPM3-NTRK1 fusion gene, and all had high microsatellite instability and high tumor mutation burden. No KRAS, NRAS, BRAF V600E or TP53 gene mutations were detected. Four patients carried frame shift mutations in RNF43. Other molecular changes included 3 cases with ROS1 gene mutation, 2 cases with BRAC, ALK, and EGFR gene mutations, 2 cases with ATM gene mutation, and 2 cases with KIT gene mutation. These were missense/frame shift mutations that were associated with no clinical significance. The nine pan-TRK-positive cases without NTRK gene fusion detected with DNA-based NGS were further confirmed with RNA-based NGS, and no NTRK gene fusion was found. The sensitivity and specificity of NTRK gene fusion detected using IHC were 100.0% and 92.5%, respectively. The sensitivity and specificity of diffusely strong membranous/cytoplasmic staining were both 100.0%.Conclusions:Pan-TRK protein has various expression patterns in dMMR colorectal cancer. Its diffusely strong expression is highly suggestive of NTRK1 gene fusion. TPM3-NTRK1 gene fusion is a common form of NTRK gene fusion in dMMR colorectal cancer.