This study was aimed at exploring the interaction between the nucleoprotein(NP)of influenza A virus(IAV)and TRIM25.The physicochemical properties and protein structure of IAV NP protein were analyzed through bioinformatics methods.The interaction between IAV NP and TRIM25 proteins was simulated with molecular docking techniques,and the in-teraction sites were predicted.With the cDNA of the A/Puerto Rico/8/1934(H1N1)PR8 strain as the template,the NP pro-tein was cloned into the eukaryotic expression vector pCMV-C-Flag through PCR amplification,the eukaryotic expression re-combinant plasmid pCMV-Flag-NP was constructed,and the expression was further verified.The protein expression levels of pCMV-Flag-NP and pCMV-HA-TRIM25 were detected at various time periods.The interaction between NP protein and TRIM25 protein was verified by co-immunoprecipitation.The co-localization of NP protein and TRIM25 protein in cells was ob-served with laser confocal microscopy.Bioinformatics analysis revealed that the NP protein consists of 498 amino acids and 20 amino acids,and is an unstable hydrophilic protein.The NP protein has multiple phosphorylation sites,as well as N-glycosyla-tion and O-glycosylation sites,but no transmembrane domain or signal peptide domain.Additionally,the NP protein's second-ary structure consists of a high proportion of alpha-helices and random coils.The molecular docking prediction results indicated that IAV NP interacts with TRIM25 protein and has multiple potential interaction sites,including the 233rd alanine,234th ala-nine,236th lysine,and 440th alanine of the NP protein.After successfully constructing and expressing the IAV NP protein,we verified the interaction between IAV NP and TRIM25 protein by immunoprecipitation and laser confocal microscopy obser-vations.Our results together suggested that the structure of the IAV NP protein is closely related to its function,and its im-portance to the virus is clear.In addition,the interaction between IAV NP and TRIM25 protein may be associated with TRIM25's anti-influenza virus mechanism.Further in-depth research may provide new ideas for anti-influenza virus strategies.

This study was aimed at exploring the interaction between the nucleoprotein(NP)of influenza A virus(IAV)and TRIM25.The physicochemical properties and protein structure of IAV NP protein were analyzed through bioinformatics methods.The interaction between IAV NP and TRIM25 proteins was simulated with molecular docking techniques,and the in-teraction sites were predicted.With the cDNA of the A/Puerto Rico/8/1934(H1N1)PR8 strain as the template,the NP pro-tein was cloned into the eukaryotic expression vector pCMV-C-Flag through PCR amplification,the eukaryotic expression re-combinant plasmid pCMV-Flag-NP was constructed,and the expression was further verified.The protein expression levels of pCMV-Flag-NP and pCMV-HA-TRIM25 were detected at various time periods.The interaction between NP protein and TRIM25 protein was verified by co-immunoprecipitation.The co-localization of NP protein and TRIM25 protein in cells was ob-served with laser confocal microscopy.Bioinformatics analysis revealed that the NP protein consists of 498 amino acids and 20 amino acids,and is an unstable hydrophilic protein.The NP protein has multiple phosphorylation sites,as well as N-glycosyla-tion and O-glycosylation sites,but no transmembrane domain or signal peptide domain.Additionally,the NP protein's second-ary structure consists of a high proportion of alpha-helices and random coils.The molecular docking prediction results indicated that IAV NP interacts with TRIM25 protein and has multiple potential interaction sites,including the 233rd alanine,234th ala-nine,236th lysine,and 440th alanine of the NP protein.After successfully constructing and expressing the IAV NP protein,we verified the interaction between IAV NP and TRIM25 protein by immunoprecipitation and laser confocal microscopy obser-vations.Our results together suggested that the structure of the IAV NP protein is closely related to its function,and its im-portance to the virus is clear.In addition,the interaction between IAV NP and TRIM25 protein may be associated with TRIM25's anti-influenza virus mechanism.Further in-depth research may provide new ideas for anti-influenza virus strategies.

Objective:To investigate the protective effect of achyranthes bidentata(AB)on sperm quality in mice with sper-matogenic disorder through the glycolytic metabolic pathway and its action mechanism.Methods:We equally randomized 40 Kun-ming mice into a normal control,a model control,a low-dose AB(3.5 g/kg)and a high-dose AB group(7.0 g/kg),and established the model of spermatogenic disorder in the latter three groups of mice by intraperitoneal injection of doxorubicin(30 mg/kg).Two days after modeling,we collected the testis and kidney tissues and blood samples from the mice for observation of the pathological changes in the testis tissue by HE staining,detection of perm motility with the sperm quality analyzer,examination of the apoptosis of testis cells by flow cytometry,measurement of the levels of testosterone(T),malondialdehyde(MDA),superoxide dismutase(SOD)and cata-lase(CAT)in the serum and testis tissue by ELISA,and determination of expressions of the key enzymes of glycolysis hexokinase Ⅱ(HK2),pyruvate kinase M2(PKM2),platelet phosphofructokinase(PFKP),lactate dehydrogenase A(LDHA)and the meiosis pro-teins REC8 and SCP3 by Western blot,and the mRNA expressions of glycolytic phosphofructokinase 1(PFK1),phosphoglycerate ki-nase 1(PGK1),tumor necrosis factor-α(TNF-α)and interleukin-1 β(IL-1β)by fluorescence quantitative PCR(FQ-PCR).Results:Compared with the model controls,the mice in the AB groups showed significant increases in the testis coefficient,kidney in-dex,sperm concentration,sperm motility,spermatogonia,primary spermatocytes,spermatids,sperm count and the serum T level(P＜0.05 orP＜0.01),but dramatic decreases in the apoptosis of testis cells and percentage of morphologically abnormal sperm(P＜0.01).Achyranthes bidentata also significantly elevated the levels of SOD and CAT,and down-regulated the mRNA expressions of MDA,TNF-α and IL-1β(P＜0.05 or P＜0.01),and up-regulated the protein expressions of HK2,PKM2,PFKP,LDHA,REC8 and SCP3,and expressions of the glycolysis key genes Pfk1 and Pgk1(P＜0.05 orP＜0.01).Conclusion:Achyranthes bidentata ameliorates doxorubicin-induced spermatogenic disorder in mice by regulating the glycolytic pathway and reducing oxidative stress and the expressions of inflammatory factors.

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.

Osteoporotic vertebral compression fractures(OVCFs)are common orthopedic conditions that can lead to spinal pain and deformity,which greatly affects the quality of life of patients.Currently,there are various treatment methods for OVCFs,but there is still a lack of standards for optimal treatment modalities.Therefore,this article introduces the current treatment methods and character-istics of epidemiology for OVCFs,in order to improve the awareness of this disease among clinicians and provide a reference for select-ing more appropriate treatment regimens.Conservative treatment measures,such as bracing and analgesia,are the basic treatment mea-sures for OVCFs,and anti-osteoporosis drugs play a crucial role in management.Minimally invasive procedures,including percutane-ous vertebroplasty and percutaneous balloon kyphoplasty,remain the primary surgical interventions,and traditional open surgeries are also an important part of treatment,such as anterior spinal fusion,combined anterior and posterior spinal fusion,posterior spinal fusion with three-column osteotomy,and posterior spinal fusion with vertebroplasty.Furthermore,surgeons should focus on the accumulation of related surgical techniques and skills during surgery to effectively address the challenges and complications associated with surgical interventions.Finally,scientific and appropriate treatment methods should be selected for patients,in order to improve long-term treat-ment outcomes and increase the degree of satisfaction among pa-tients.

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.

Severe open tibiofibular fractures account for approximately 28.1% of all open fractures. Among them, Gustilo-Anderson type IIIB/C fractures present significant clinical challenges due to associated bone and soft tissue defects, high infection rates, and risk of amputation. Inadequate preoperative assessment may lead to suboptimal emergency surgical planning or intraoperative complications. Historically, external fixation was often preferred, but this approach has been associated with limitations such as restricted joint mobility, delayed bone union, joint stiffness, and disuse osteoporosis, resulting in poor functional recovery. With advancements of debridement techniques, standardization of antibiotic use, and popularization of early soft tissue coverage, early internal fixation has gained broader acceptance. Nevertheless, controversies persist regarding the choice of fixation method, timing of definitive fixation, use of reamed versus unreamed intramedullary nailing, and necessity of fibular fixation. To standardize the diagnosis and early management of severe open tibiofibular fractures, reduce complication rates, and improve functional recovery, the Society of Microsurgery of the Chinese Medical Association organized a panel of domestic experts to develop the Evidence-based guideline for the diagnosis and early fixation of severe open tibiofibular fractures ( version 2025), using evidence-based methodology. The guidelines provided 12 recommendations covering diagnostic and early fixation strategies of severe open tibiofibular fractures, aiming to provide clinicians with scientifically grounded and standardized guidance.

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.