Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Exercise, as a non-pharmacological intervention, holds a pivotal role in metabolic regulation, neuroplasticity, and immune homeostasis maintenance. However, human exercise studies are constrained by ethical limitations in tissue sampling, especially for key organs such as muscles and the brain. Meanwhile, rodent models like mice exhibit physiological differences in exercise patterns and metabolic rates from human. Despite these challenges, approximately 70% of human and mouse genes are conserved, providing a molecular basis for cross-species comparisons. This paper leverages the GEPREP database, which integrates human and mouse exercise transcriptomic data from multiple platforms, to conduct a comprehensive cross-species analysis of exercise-induced gene expression patterns. We employ a stringent data standardization process, including the conversion of orthologous genes and the filtering of low-expressing genes, to ensure the accuracy and reliability of the analysis. A mixed-effects model is utilized to assess differential gene expression across multiple cohorts, identifying genes that are significantly upregulated or downregulated in response to exercise. The analysis reveals a complex pattern of gene expression, with a significant number of genes showing conserved responses between humans and mice, particularly in acute aerobic exercise, where genes such as ATF3, PPARGC1A, and ANKRD1 are commonly upregulated. These genes are implicated in muscle stress response, metabolic regulation, and muscle adaptation, highlighting the shared molecular pathways activated by exercise across species. However, the study also uncovers substantial species-specific differences in gene expression, especially in chronic aerobic exercise, where the number of divergently regulated genes increases. These differences suggest that while some fundamental biological processes are conserved, the specific regulatory mechanisms and gene expression patterns can vary significantly between humans and mice. Functional enrichment analysis further reveals that conserved genes are involved in muscle development, inflammation regulation, and energy metabolism, while species-specific genes are associated with ion transport, extracellular matrix (ECM) organization, and muscle contraction, indicating the multifaceted impact of exercise on skeletal muscle function. The findings emphasize the importance of considering species-specific differences when interpreting results from animal models and translating them to human health applications. The study highlights the need for a more nuanced understanding of the molecular underpinnings of exercise-induced adaptations and underscores the value of cross-species comparative analyses in uncovering the evolutionary and functional basis of these responses. Future research should focus on integrating multi-omics data and expanding the analysis to include other tissues to provide a more comprehensive view of the systemic effects of exercise. Additionally, the development of species-specific gene editing models and the validation of key genes in exercise physiology will further enhance our understanding of the evolutionary logic behind exercise interventions. This study not only provides valuable insights into the molecular mechanisms of exercise-induced adaptations but also underscores the necessity of validating findings from animal models in human cohorts to ensure the reliability and applicability of translational research in exercise science. By addressing these aspects, the study aims to bridge the gap between basic research and clinical applications, ultimately contributing to the development of personalized exercise prescriptions and interventions that can effectively promote health and prevent diseases.

Heart failure(HF)is the end stage of almost all cardiovascular diseases,including coronary heart disease and structural heart disease.For end-stage HF,medications and cardiac assist devices have limited therapeutic effects,and heart transplantation is associated with donor shortage and immune rejection.Alginate hydrogel has the ability to mechanically support and induce cardiac tissue regeneration and repair.In March 2021,we conducted the world's first transcatheter endocardial alginate-hydrogel implantation in patients with end-stage heart failure,and explored the safety and feasibility of the treatment.Given that patients with heart failure who had undergone cardiac resynchronization therapy defibrillator(CRT-D)were excluded from previous studies,this paper is the first to report a case of transcatheter endocardial alginate-hydrogel implantation in a patient with heart failure who did not respond to CRT-D,with a significant reduction in the number of visits to the doctor and a significant improvement in the quality of life during the post-procedure follow-up,which may expand the indications for the use of this technology.

Objective To evaluate the efficacy of extracorporeal membrane oxygenation(ECMO)in patients with reduced left ventricular ejection fraction(LVEF)undergoing transcatheter aortic valve implantation(TAVR).Methods This was a single-center,retrospective study enrolling a total of 30 patients with reduced LVEF undergoing TAVR from January 2020 to January 2024.Of these,12 patients underwent TAVR with ECMO.Baseline clinical characteristics,preprocedural echocardiographic and computed tomographic(CT)measurements,TAVR procedural details,and follow-up data at 60-day and 6-month were collected.Results Among the 30 patients,there were 20 males with an average age of(67.0±10.4)years,an average STS score of(8.2±1.8)points,and an average LVEF of(21.2±5.3)％.This study included 11 AR patients,all of whom were in the group without ECMO implantation,and the difference between the two groups was statistically significant(P=0.027).During the operation,there were 0 cases of circulatory collapse in the ECMO group,and 5 cases(5/18)of circulatory collapse in the non ECMO group.All 5 patients underwent emergency ECMO placement.There were statistically significant differences(P＜0.05)in the comparison of two groups with circulatory collapse and salvage ECMO implantation.The technical success rate of 30 patients was 76.7％(23/30),and the instrument success rate was 60.0％(18/30).Among them,the technical success rate and instrument success rate of the ECMO group were higher than those of the non ECMO group,but the differences were not statistically significant(both P＞0.05).During a 30 day follow-up,there were 0 all-cause deaths in the ECMO group and 9 all-cause deaths(9/18)in the non ECMO group.Among them,7 cases(7/18)died from cardiovascular causes.The differences in all-cause and cardiovascular cause deaths between the two groups were statistically significant(both P＜0.05).During a 6-month follow-up,one patient with ECMO died due to extensive cerebral infarction.The all-cause mortality rate during the 6-month follow-up was 1/12(8.3％),while the all-cause mortality rate without ECMO was 9/18(5.0％).The difference between the two groups was statistically significant(P=0.024).The incidence of stroke with ECMO was 1/12(8.3％),while without ECMO it was 0.There was no statistically significant difference between the two groups(P=0.978).Conclusions In patients with reduced LVEF undergoing TAVR,periprocedural ECMO support does seem to improve patient outcome.

This study aimed to determine the drug resistance phenotype and genetic characteristics of Listeria monocytogenes ST5 LK100 isolated from a neonate,which provided a basis for the diagnosis and treatment of L.monocyto-genes infection and to enhance the understanding of the genomic characteristics of this strain.A suspected L.monocytogenes strain was isolated from the gastric juice sample of an infected neonate,and identified with a VITEK2 Compact automatic mi-crobial identification instrument and 16S RNA sequencing.Five drug sensitivity tests were conducted on the identified strain with the E-test method.Additionally,the whole genome of the strain was sequenced using a third-generation sequencing plat-form.The antibiotic resistance elements of the strain were identified by BlastN with the CARD antibiotic resistance gene data-base.The multilocus sequence typing(MLST),serotyping,and virulence genes of the strain was determined by Pasteur da-tabase,the virulence gene distribution was analyzed using the virulence analysis website.The prophages of the strain were predicted and annotate by PHASTER online website.The strain(LK100)isolated from the neonate was identified as L.monocytogenes.This strain was sensitive to penicillin,ampicil-lin,meropenem,erythromycin,and trimethoprim-sulfame-thoxazole antibiotics.The MLST type and serotype was ST5 and 1/2b-3b,respectively.The total length of the chromoso-mal genome of LK100 was 3 032 582 bp with a GC content of 37.91％,and it contained a complete circular plasmid with a se-quence length of 52 822 bp.The strain LK100 carried complete InlA protein,LIPI-1 pathogenicity island,SSI-1 stress survival island,and an LGI2 genomic island.The intrinsic antibiotic resistance genes were mainly located on the chromosome.Five prophage sequences were predicted in the LK100 genome.This study identified a strain of ST5 L.monocytogenes LK100 from an infected neonate and characterized its genome and antibiotic sensitivity,laying the foundation for further research on ST5 L.monocytogenes.

Objective　To evaluate the sensitivity and specificity of the GenoType MTBDRplus V2.0 (Mycobacterium tuberculosis and resistance gene detection assay kit using PCR-linear probe hybridization with enzyme chromogenic method, referred to as MTBDRplus 2.0) kit for detection of rifampin and isoniazid resistance, providing the basis for improving the detection of drug-resistant Mycobacterium tuberculosis. Methods From January to December 2022, positive strains of Mycobacterium tuberculosis isolated and cultured from designated tuberculosis treatment hospitals in 32 counties (cities, districts) of Yunnan Province were collected. Resistance in 880 strains of Mycobacterium tuberculosis was detected by MTBDRplus 2.0, and the minimum inhibitory concentration (MIC) method was used for the drug sensitivity test. 　　　Results Using the MIC method as the gold standard, the sensitivity, specificity, positive predictive value, and negative predictive value of MTBDRplus 2.0 in detecting isoniazid resistance were 67.69%, 98.40%, 77.19%, and 97.45%, respectively. The consistency of the linear probe method and MIC method in detecting isoniazid resistance was moderate, with a Kappa value of 0.701 (P<0.001); the sensitivity, specificity, positive predictive value, and negative predictive values of MTBDRplus 2.0 in detecting rifampicin resistance were 87.80%, 99.40%, 87.80%, and 99.40%, respectively. The consistency of rifampicin resistance detection between MTBDRplus 2.0 and MIC method was relatively good, with a Kappa value of 0.872 (P<0.001). Among the 13 strains showing resistance to isoniazid with MTBDRplus 2.0, but sensitivity according to the MIC method, 11 strains (84.62%) had mutations in the inhA gene (C15T). Out of the 5 strains showing resistance to rifampicin with MTBDRplus 2.0, but sensitivity according to the MIC method, 4 strains (80.00%) had other mutations in the rpoB gene. Conclusions MTBDRplus 2.0 shows high sensitivity and specificity in detecting rifampicin resistance, but slightly low sensitivity in detecting isoniazid resistance. The low sensitivity in detecting isoniazid resistance may be due to insufficient target coverage of the detection kit. inhA gene mutations are poorly correlated with isoniazid resistance, and other mutations in the rpoB gene are poorly correlated with rifampicin resistance.