Chemotherapy-induced peripheral neurotoxicity (CIPN) is a severe dose-limiting adverse event of chemotherapy. Presently, the mechanism underlying the induction of CIPN remains unclear, and no effective treatment is available. In this study, through metabolomics analyses, we found that nab-paclitaxel therapy markedly increased serum serotonin [5-hydroxtryptamine (5-HT)] levels in both cancer patients and mice compared to the respective controls. Furthermore, nab-paclitaxel-treated enterochromaffin (EC) cells showed increased 5-HT synthesis, and serotonin-treated Schwann cells showed damage, as indicated by the activation of CREB3L3/MMP3/FAS signaling. Venlafaxine, an inhibitor of serotonin and norepinephrine reuptake, was found to protect against nerve injury by suppressing the activation of CREB3L3/MMP3/FAS signaling in Schwann cells. Remarkably, venlafaxine was found to significantly alleviate nab-paclitaxel-induced CIPN in patients without affecting the clinical efficacy of chemotherapy. In summary, our study reveals that EC cell-derived 5-HT plays a critical role in nab-paclitaxel-related neurotoxic lesions, and venlafaxine co-administration represents a novel approach to treating chronic cumulative neurotoxicity commonly reported in nab-paclitaxel-based chemotherapy.
Paclitaxel/toxicity* ; Animals ; Albumins/adverse effects* ; Serotonin/metabolism* ; Mice ; Humans ; Male ; Female ; Venlafaxine Hydrochloride/therapeutic use* ; Neurotoxicity Syndromes/metabolism* ; Middle Aged ; Schwann Cells/metabolism* ; Peripheral Nervous System Diseases/drug therapy* ; Antineoplastic Agents

Objective:To construct a VP8-mRNA vaccine using human rotavirus spike protein VP8 domain as the immunogen and analyze its immunogenicity in mice.Methods:The VP8-mRNA sequence was designed, optimized, and synthesized. The VP8 gene of rotavirus G1P[8] type was used to construct the plasmid pUC57-VP8-Kan-SapⅠ, which was then sequenced. The plasmid confirmed by sequencing was subjected to large-scale amplification and extraction, followed by linearization, in vitro transcription, and capping. The purified capped products were encapsulated with lipid nanoparticles using a microfluidic control apparatus. The encapsulated VP8-mRNA vaccine was administered intramuscularly to mice at 10, 15, and 20 μg. Serum samples were collected for antibody detection by ELISA. Cellular immune responses were detected by flow cytometry and ELISPOT. Statistical analysis was performed using one-way or two-way analysis of variance and Tukey-Kramer test. Results:The encapsulated VP8-mRNA vaccine was rounded and spherical, with a particle size of about 100 nm, a polymer dispersion index of 0.088, and an encapsulation rate of 92.3%. Two doses of VP8-mRNA vaccine immunization could induce a good immune response in mice. The level of IgG antibody induced after immunization in the 15 μg group was comparable to that of the 20 μg group, and there was no statistical difference ( P>0.05), but the antibody levels in the two groups were significantly higher than that in the 10 μg group ( P<0.000 1). VP8-mRNA vaccine could induce neutralizing antibodies against rotavirus G1 and G9 types. The highest level of neutralizing antibodies against rotavirus type G1 was observed in the 15 μg group, which was significantly higher than that in the 10 μg group ( P<0.05). All immunization groups exhibited good neutralizing ability against rotavirus G9 type. The results of ELISPOT showed that lymphocytes from mice in each vaccine group were able to secrete IFN-γ when stimulated with VP8 peptide. Flow cytometry showed that the proportions of CD8 + T cell subsets in the vaccine groups were higher than that in the control group. Conclusion:The VP8-mRNA vaccine has good immunogenicity in mice and can induce good humoral and T-cell immune responses.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

Objective To compare the predictive effectiveness of the Glasgow coma scale(GCS),GCS-pupils scale(GCS-P),Glasgow-Pittsburgh coma scale(GPCS),full outline of unresponsiveness scale(FOUR),and coma recovery scale-revised(CRS-R)in forecasting the prognosis of severe stroke patients.Methods A prospective,consecutive cohort of severe stroke patients admitted to the Department of Neurology,First Medical Center of Chinese PLA General Hospital from September 2021 to April 2024 was enrolled.Demographic and clinical data were collected,including age,sex,length of hospital stay,diagnosis(severe ischemic stroke,severe cerebral hemorrhage,aneurysmal subarachnoid hemorrhage),medical history(hypertension,diabetes,coronary artery disease),smoking and drinking habits,vital signs upon admission(temperature,pulse,respiration,blood pressure),neurological examination findings(including speech and brainstem reflexes)at admission,head imaging results(CT,MRI)within 24 h of admission to assess the presence of brain herniation,and whether intubation occurred within 24 h of admission.Patients underwent GCS,GCS-P,GPCS,FOUR,and CRS-R scoring within 8h of admission.Telephone follow-up was conducted at 6 months post-stroke to assess outcomes using the modified Rankin scale(mRS),with mRS scores of 0-2 classified as the good prognosis group and 3-6 as the poor prognosis group.The receiver operating characteristic(ROC)curve was used to assess the prognostic prediction value of the five scales for poor outcomes at 6 months.The area under the ROC curve(AUC)was calculated,and pairwise comparisons of AUC were performed using the Delong test.Results A total of 179 severe stroke patients were enrolled,including 116 males and 63 females.The group consisted of 132 patients with severe ischemic stroke,30 with severe intracerebral hemorrhage,and 17 with aneurysmal subarachnoid hemorrhage.At 6months,126patients had a poor prognosis and 53 had a good prognosis.(1)There were statistically significant differences in age,temperature,pulse,history of coronary artery disease,smoking and drinking habits,presence of speech impairment,abnormal brainstem reflexes,brain herniation,intubation within 24 h of admission,and GCS,GCS-P,GPCS,FOUR,and CRS-R scores between the poor and good prognosis groups(all P＜0.05).(2)ROC analysis revealed that the AUC(95％CI)for predicting poor outcomes at 6 months in severe stroke patients for GCS,GCS-P,GPCS,FOUR,and CRS-R were 0.808(0.742-0.863),0.815(0.750-0.869),0.828(0.765-0.880),0.841(0.780-0.892),and 0.831(0.768-0.883),respectively.Sensitivities were 76.98％,78.57％,82.54％,84.13％,and 82.54％,and specificities were 73.58％,73.58％,67.92％,71.70％,and 73.58％,respectively.The FOUR had the highest AUC,with an optimal cutoff value of 13.(3)Pairwise comparisons of AUC showed a statistically significant difference between the FOUR and GCS(the difference value of AUC is 0.034,95％CI 0.004-0.064,Z=2.194,P=0.028),but no significant differences were observed between other scales(all P＞0.05).Conclusion Compared to GCS,GCS-P,GPCS,and CRS-R,FOUR may provide more valuable prognostic information for severe stroke patients.

Objective To compare the predictive effectiveness of the Glasgow coma scale(GCS),GCS-pupils scale(GCS-P),Glasgow-Pittsburgh coma scale(GPCS),full outline of unresponsiveness scale(FOUR),and coma recovery scale-revised(CRS-R)in forecasting the prognosis of severe stroke patients.Methods A prospective,consecutive cohort of severe stroke patients admitted to the Department of Neurology,First Medical Center of Chinese PLA General Hospital from September 2021 to April 2024 was enrolled.Demographic and clinical data were collected,including age,sex,length of hospital stay,diagnosis(severe ischemic stroke,severe cerebral hemorrhage,aneurysmal subarachnoid hemorrhage),medical history(hypertension,diabetes,coronary artery disease),smoking and drinking habits,vital signs upon admission(temperature,pulse,respiration,blood pressure),neurological examination findings(including speech and brainstem reflexes)at admission,head imaging results(CT,MRI)within 24 h of admission to assess the presence of brain herniation,and whether intubation occurred within 24 h of admission.Patients underwent GCS,GCS-P,GPCS,FOUR,and CRS-R scoring within 8h of admission.Telephone follow-up was conducted at 6 months post-stroke to assess outcomes using the modified Rankin scale(mRS),with mRS scores of 0-2 classified as the good prognosis group and 3-6 as the poor prognosis group.The receiver operating characteristic(ROC)curve was used to assess the prognostic prediction value of the five scales for poor outcomes at 6 months.The area under the ROC curve(AUC)was calculated,and pairwise comparisons of AUC were performed using the Delong test.Results A total of 179 severe stroke patients were enrolled,including 116 males and 63 females.The group consisted of 132 patients with severe ischemic stroke,30 with severe intracerebral hemorrhage,and 17 with aneurysmal subarachnoid hemorrhage.At 6months,126patients had a poor prognosis and 53 had a good prognosis.(1)There were statistically significant differences in age,temperature,pulse,history of coronary artery disease,smoking and drinking habits,presence of speech impairment,abnormal brainstem reflexes,brain herniation,intubation within 24 h of admission,and GCS,GCS-P,GPCS,FOUR,and CRS-R scores between the poor and good prognosis groups(all P＜0.05).(2)ROC analysis revealed that the AUC(95％CI)for predicting poor outcomes at 6 months in severe stroke patients for GCS,GCS-P,GPCS,FOUR,and CRS-R were 0.808(0.742-0.863),0.815(0.750-0.869),0.828(0.765-0.880),0.841(0.780-0.892),and 0.831(0.768-0.883),respectively.Sensitivities were 76.98％,78.57％,82.54％,84.13％,and 82.54％,and specificities were 73.58％,73.58％,67.92％,71.70％,and 73.58％,respectively.The FOUR had the highest AUC,with an optimal cutoff value of 13.(3)Pairwise comparisons of AUC showed a statistically significant difference between the FOUR and GCS(the difference value of AUC is 0.034,95％CI 0.004-0.064,Z=2.194,P=0.028),but no significant differences were observed between other scales(all P＞0.05).Conclusion Compared to GCS,GCS-P,GPCS,and CRS-R,FOUR may provide more valuable prognostic information for severe stroke patients.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

Objective:To construct a VP8-mRNA vaccine using human rotavirus spike protein VP8 domain as the immunogen and analyze its immunogenicity in mice.Methods:The VP8-mRNA sequence was designed, optimized, and synthesized. The VP8 gene of rotavirus G1P[8] type was used to construct the plasmid pUC57-VP8-Kan-SapⅠ, which was then sequenced. The plasmid confirmed by sequencing was subjected to large-scale amplification and extraction, followed by linearization, in vitro transcription, and capping. The purified capped products were encapsulated with lipid nanoparticles using a microfluidic control apparatus. The encapsulated VP8-mRNA vaccine was administered intramuscularly to mice at 10, 15, and 20 μg. Serum samples were collected for antibody detection by ELISA. Cellular immune responses were detected by flow cytometry and ELISPOT. Statistical analysis was performed using one-way or two-way analysis of variance and Tukey-Kramer test. Results:The encapsulated VP8-mRNA vaccine was rounded and spherical, with a particle size of about 100 nm, a polymer dispersion index of 0.088, and an encapsulation rate of 92.3%. Two doses of VP8-mRNA vaccine immunization could induce a good immune response in mice. The level of IgG antibody induced after immunization in the 15 μg group was comparable to that of the 20 μg group, and there was no statistical difference ( P>0.05), but the antibody levels in the two groups were significantly higher than that in the 10 μg group ( P<0.000 1). VP8-mRNA vaccine could induce neutralizing antibodies against rotavirus G1 and G9 types. The highest level of neutralizing antibodies against rotavirus type G1 was observed in the 15 μg group, which was significantly higher than that in the 10 μg group ( P<0.05). All immunization groups exhibited good neutralizing ability against rotavirus G9 type. The results of ELISPOT showed that lymphocytes from mice in each vaccine group were able to secrete IFN-γ when stimulated with VP8 peptide. Flow cytometry showed that the proportions of CD8 + T cell subsets in the vaccine groups were higher than that in the control group. Conclusion:The VP8-mRNA vaccine has good immunogenicity in mice and can induce good humoral and T-cell immune responses.

Objective:To develop an artificial intelligence（AI）-based sequential ultrasound-magnetic resonance imaging（US-MRI）diagnostic strategy to optimize the imaging workflow for ovarian masses.Methods:A total of 1 120 patients with pathologically confirmed ovarian masses who underwent both preoperative pelvic ultrasound and MRI between January 2021 and December 2023 at Women's Hospital，Zhejiang University School of Medicine were retrospectively included. Patients were randomly divided into the training（ n=672）and internal test set（ n=448）at a ratio of 6∶4. An external test set（ n=128）was established at the Forth Affiliated Hospital of School of Medicine. Deep learning was used for automated segmentation of MRI lesions，followed by radiomic feature extraction and machine learning classification to construct both a US-MRI multimodal model and sequential US-MRI strategy. Diagnostic performance and potential healthcare cost-saving effects were evaluated across strategies. Results:In the internal test set（ n=448），the AI-based sequential US-MRI strategy achieved a F1 score of 0.863 and a diagnostic accuracy of 82.14%，with no significant difference compared to the US-MRI multi-modal model（ P>0.05）. The sequential strategy identified 82 cases（18.30%，82/448）of patients as low-risk true negatives during initial ultrasound screening，suggesting a potential to reduce the need for MRI examinations in future clinical practice. In the external test set（ n=128），the strategy achieved an F1 score of 0.800 and a confirmed diagnosis rate of 85.94%，with a theoretical reduction of 26.56%（34 cases）in MRI utilization while maintaining a diagnostic accuracy rate higher than that of the multi-modal model（82.18%）. Conclusions:The AI-based US-MRI sequential diagnostic strategy demonstrates favorable diagnostic accuracy while offering the potential to optimize MRI utilization. This approach may enhance the efficiency of imaging resource allocation and reduce healthcare burden in the management of ovarian masses.

Oral squamous cell carcinoma(OSCC)is a malignant lesion originating from the oral mucosal squamous epithelium,account-ing for over 80％of oral and maxillofacial malignancies.Key etiological factors include tobacco,alcohol abuse,and betel quid chewing.In China,its incidence has shown an overall upward trend,posing a significant threat to public health.OSCC exhibits high local invasive-ness,making early diagnosis critical for improving prognosis.Its clinical management requires close multidisciplinary collaboration among oral and maxillofacial surgery,head and neck surgery,radiation oncology,medical oncology,reconstructive surgery,radiology,patholo-gy,and nutritional support teams.Given the increasing disease burden of OSCC and rapid development of multidisciplinary collaborative models,an expert panel has formulated this integrated management consensus based on evidence-based medicine and extensive deliber-ation.Centered on the'Prevention-Screening-Diagnosis-Treatment-Rehabilitation'framework,the consensus provides comprehensive guidance for the entire disease course of OSCC patients,aiming to standardize clinical practice.

AIM:To investigate whether Xibining Ⅱ(XBN Ⅱ)attenuates cartilage damage in rats with knee osteoarthritis(KOA)by modulating glycolysis via the AMP-activated protein kinase(AMPK)/peroxisome proliferator-acti-vated receptor γ coactivator 1α(PGC1α)signaling pathway.METHODS:Thirty-two SD rats were randomly divided into sham group,KOA group,XBN Ⅱ group and metformin(AMPK activator)group,with 8 rats in each group.The rats in KOA group were subjected to the anterior cruciate ligament transection procedure to establish the KOA model.Starting from the 14th day after modeling,the rats in XBN Ⅱ group received a daily dose of XBN Ⅱ via gavage once a day,and those in metformin group were administered metformin via intraperitoneal injection once a day for 4 weeks.Subsequently,the histopathological changes of the cartilage were examined by HE and safranin O-fast green staining with matching Mankin and OARSI scores.The protein levels of phosphorylated AMPK(p-AMPK)and PGC1α in cartilage were quanti-fied through immunohistochemistry.In addition,RT-qPCR and Western blot were conducted to measure the mRNA and protein expression levels of glycolysis-related factors,including glucose transporter 1,hexokinase 2 and lactate dehydroge-nase A,biomarkers related to cartilage synthesis and catabolism,such as collagen type Ⅱ,aggrecan,matrix metallopro-teinase 13 and a disintegrin and metalloproteinase with thrombospondin motifs 5,and AMPK/PGC1α signaling pathway-re-lated indicators.RESULTS:Lactate levels in cartilage and serum were higher in KOA group compared with sham group(P<0.05).Similarly,the cartilage in KOA group exhibited significant surface abrasion and structural damage,with faint-stained matrix and significantly higher Mankin and OARSI scores compared with sham group(P<0.05).Further analysis revealed significant decreases in the mRNA and protein expression levels of factors related to cartilage anabolism and AMPK/PGC1α signaling pathway in KOA group compared with sham group(P<0.05).In contrast,there were marked in-creases in the mRNA and protein expression levels of factors related to cartilage catabolism and glycolysis(P<0.05).No-tably,XBN Ⅱ and metformin treatments significantly improved the cartilage morphology,reduced Mankin and OARSI scores,and reversed the changes in mRNA and protein levels of the aforementioned indexes(P<0.05).CONCLU-SION:Treatment with XBN Ⅱ can alleviate cartilage damage in KOA rats by inhibiting glycolysis,through a mechanism involving activation of the AMPK/PGC1α signaling pathway.