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.

OBJECTIVE: To evaluate the efficacy and safety of PD-1 inhibitor combined with azacitidine and HAG regimen in the treatment of relapsed/refractory acute myeloid leukemia (R/R AML). METHODS: This study is a prospective, single-arm, phase II clinical trial that included R/R AML patients who met the inclusion criteria and were treated at The First Affiliated Hospital of Soochow University from December 2020 to August 2023. Patients could undergo allogeneic hematopoietic stem cell transplantation (allo-HSCT) after salvage therapy. The efficacy and safety were evaluated. RESULTS: Twenty patients were enrolled, including 14 males and 6 females, with an average age of (50.7±15.3) years. The overall response rate (ORR) after one cycle of the treatment was 75.0% (15/20), and 35.0% (7/20) of the patients achieved complete remission (CR) or complete remission with incomplete hematologic recovery (CRi) after two cycles of the treatment. Eight patients received allo-HSCT. The main adverse events were hematologic toxicities, and no grade 5 adverse events occurred. CONCLUSION The combination of PD-1 inhibitor, azacitidine, and the HAG regimen is a feasible and relatively safe treatment option for R/R AML, thus, to be worth further study.
Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Azacitidine/administration & dosage* ; Male ; Female ; Middle Aged ; Prospective Studies ; Adult ; Hematopoietic Stem Cell Transplantation ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Programmed Cell Death 1 Receptor/antagonists & inhibitors* ; Aged

OBJECTIVE: Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear. METHODS: Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences. RESULTS: Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods. CONCLUSION Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
Animals ; Poxviridae/physiology* ; Ticks/virology* ; Phylogeny ; Transcriptome ; Evolution, Molecular ; Poxviridae Infections/virology* ; Genome, Viral

Objective To investigate the distribution of pathogens and change of homology of Acinetobacter bau-mannii(AB)in intensive care units(ICUs)of partial medical institutions in Shanghai before and after the pandemic of coronavirus disease 2019(COVID-19).Methods Pathogens were isolated and identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF MS),the whole genome of AB was sequenced using Illumina Miseq sequencing platform,and its genetic relationship was explored based on multilocus sequence typing(MLST)and core genome multilocus sequence typing(cgMLST).Results The total detection rate of patho-gens in ICU environment after the pandemic was lower than before the pandemic([6.10％,101/1 656]vs[10.77％,181/1 680];P＜0.05).Before and after the pandemic,the proportion of AB detected on the surface of bedding in the ICU environment remained at the highest level.After the pandemic,the ST types showed a diverse distribution.MLST_Pasteur results showed that 162 strains of AB were divided into 20 ST types,with ST2(80.25％,n=130)being the main type.MLST_Oxford results showed that there were 19 ST types among 162 strains,with ST208(37.04％,n=60)being the main type.The clustering analysis based on cgMLST showed that ST208_Oxford had closer genetic relationship with ST540_Oxford and ST369_Oxford after the pandemic.ST164_Pasteur clone changed from ST234_Oxford before the pandemic to ST1418_Oxford after the pandemic,and 2 new types of ST_Pasteurr and 11 new types of ST_Oxford were discovered.Conclusion The detection rate of pathogens from ICU environment after the pandemic is lower than before the pandemic,and the distribution of ST types is slightly different at the same detection sites before and after the pandemic.ST2_Pasteur/ST208_Oxford is still the dominant epidemic clone before and after the pandemic,but some alleles have changed.cgMLST is more accurate than MLST_Oxford and MLST_Pasteur in homology analysis,evolution,spread,and outbreak analysis.

Zona Incerta ; Prefrontal Cortex ; Fear ; Neural Pathways

Abstract: Objective　To develop a real-time fluorescent quantitative RT-PCR (qRT-PCR) method for qualitative and quantitative Chikungunya virus (CHIKV) analysis. Methods Based on the systematic analysis of the genomic sequences of Chikungunya and its related arboviruses, the specific nucleic acid sequences for Chikungunya virus were screened and identified, and then the primers and TaqMan probe were designed. Meanwhile, the human GAPDH gene was used as an internal reference. The reaction system for qRT-PCR was systematically optimized by L9(34) orthogonal design, and a rapid detection method for Chikungunya by qRT-PCR based on TaqMan probe methods was established. The sensitivity, specificity, reproducibility, and coverage of the established method were analyzed in detail. The standard curve was made, and the absolute quantitative method was established using the cloned nucleic acid fragments as positive samples. Results　A real-time fluorescent quantitative RT-PCR assay was developed for the qualitative and quantitative analysis of Chikungunya virus. The reaction system included Chikungunya virus and reference internal gene specific primers and probe, RT/Taq enzyme mixture, reaction buffer, and negative and positive reference. The established method obtained positive results with the ROSS strain of ECSA subtype, LR2006 strain of IOL branch, 181/25 strain of Asian type and Dongguan 2010 epidemic strains of Chikungunya virus, but there was no cross-reaction with other 18 arboviruses belonging to Flaviviruses, Alphaviruses and Bunyavirus. The minimum detection limit of the established method was 5.80 copies/mL, and a linear relationship was observed between the amount of input plasmid DNA and fluorescence signal value over a range of 5.80×102 copies/mL to 5.80×1010 copies/mL, and the correlation coefficient was 0.999 5. The qRT-PCR amplification efficiency was 91%, and the intra-assay variations and inter-assay variations were 0.01-0.07 and 0.03-0.11, respectively. Conclusions　The TaqMan qRT-PCR method developed in this study can qualitatively and quantitatively detect Chikungunya virus rapidly with specificity and sensitivity, providing a technical method for the prevention and control of this viral disease.