Objective:To retrospectively analyze the results of auditory examination,vestibular function examination and laboratory examination of 63 patients diagnosed as vestibular neuritis.Methods:A total of 63 patients diagnosed with vestibular neuritis hospitalized in the Department of Otolaryngology, Head and Neck Surgery of the Third Affiliated Hospital of Sun Yat-sen University, from October 2012 to December 2022 were recruited. All patients met the diagnostic criteria for the 2022 Bárány association vestibular neuritis. Clinical data and the results of pure tone audiometry, electrocochleogram, video electronystagmogram, caloric test, cervical vestibuloevoked myogenic potential（cVEMP）, ocular vestibuloevoked myogenic potential（oVEMP）, video head impulse test（vHIT） was collected.A total of 63 age-and sex-matched healthy subjects in the physical examination center were randomly selected as the control group. The differences of blood indexs and lipid metabolism indexes between the two groups were compared. Results:In patients with vestibular neuritis, 50 out of 63 patients presented normal threshold in pure tone audiometry, 8 out of 63 patients had bilateral high-frequency sensorineural hearing loss and 5 out of 63 patients had unilateral mild high-frequency sensorineural hearing loss, 56 out of 63 cases completed the electrocochleogram, of which 3 cases had a binaural-SP/AP amplitude ratio≥0.4, 5 cases had monaural amplitude ratio ≥0.4. Fifty-five out of 63 patients completed the caloric test with CP values greater than 30% in all. The ratio of patients completed cVEMP, oVEMP and vHIT were 46 cases, 22 cases and 30 cases, respectively. 17 out of 63 cases completed all the four vestibular function tests. According to these tests, 49 patients could determine the extent of injury，including 27 cases with unilateral superior vestibular nerve injury, 21 cases with unilateral superior and inferior vestibular nerve injury and 1 case with unilateral inferior vestibular nerve injury. There were significant differences in neutrophil value（P<0.001）, lymphocyte value（P<0.005）, neutrophil/lymphocyte ratio（P<0.001） and apolipoprotein A1（P<0.001） between patient group and control group. Inflammatory markers were risk factors for patients with vestibular neuritis. The OR values of neutrophil value and blood neutrophil/lymphocyte ratio were 1.81（1.38-2.37, P<0.001） and 2.11（1.41-3.16, P<0.001）, respectively. Apolipoprotein A1 was a protective factor for patients with vestibular neuritis, and the OR value was 0.004（0.001-0.042, P<0.001）. Conclusion:Electrocochleogram could be used in vestibular neuritis patients with normal pure tone threshold to test whether there is hidden hearing loss in these patients. Neutrophil value, lymphocyte value, neutrophil/lymphocyte ratio and apolipoprotein A1 were correlated with vestibular neuritis. The Neutrophil value and neutrophil/lymphocyte ratio were risk factors for morbidity.
Humans ; Vestibular Neuronitis/physiopathology* ; Retrospective Studies ; Female ; Male ; Audiometry, Pure-Tone ; Hearing Loss, Sensorineural/physiopathology* ; Middle Aged ; Adult ; Vestibular Function Tests ; Vestibular Evoked Myogenic Potentials ; Aged

The activation proteins released by fibroblasts in the tumor microenvironment regulate tumor growth, migration, and treatment response, thereby influencing tumor progression and therapeutic outcomes. Owing to the proliferation and metastasis of tumors, fibroblast activation protein (FAP) is typically highly expressed in the tumor stroma, whereas it is nearly absent in adult normal tissues and benign lesions, making it an attractive target for precision medicine. Radiolabeled agents targeting FAP have the potential for targeted cancer diagnosis and therapy. This comprehensive review aims to describe the evolution of FAPI-based radiopharmaceuticals and their structural optimization. Within its scope, this review summarizes the advances in the use of radiolabeled small molecule inhibitors for tumor imaging and therapy as well as the modification strategies for FAPIs, combined with insights from structure-activity relationships and clinical studies, providing a valuable perspective for radiopharmaceutical clinical development and application.

Objective : To explore the effect of the addition of N-acetylcysteine ( NAC) on the abnormal increase of reactive oxygen species ( ROS) during platelet cold storage，and to clarify its function of preventing the platelets from being recognized and cleared by macrophages and hepatocytes． Methods : Platelets Concentrates were divided into room temperature group ( 22C) ，cold storage group ( 4C) and NAC addition group．In NAC addition group， the platelets were supplemented with 5 mmol / L ( N5) and 25 mmol / L ( N25) NAC．After 5-day storage，the levels of ROS，activation markers and other index of platelets in each group were detected by flow cytometry． Platelet phagocytosis was detected by PMA-activated THP-1 cells or by primary cultured HepG2 cells． Results : After 5 days of storage，ROS increased significantly in 4C group than those in 22C group ( P＜0. 05) ，and after NAC addi- tion，ROS level reduced significantly ( P＜0. 05) ．The expression of CD62P and PS and the exposure of β-GlcNAc on platelets in N5 group significantly decreased compared with those in 4C group ( P＜0. 05) ．The platelet phago- cytosis by THP-1 and HepG2 cells were also significantly lower in N5 group than those in 4C group ( P＜0. 05) ． However，the addition of 5 mmol / L NAC did not significantly affect the count，pH，CD42b expression，β-Gal ex- posure and coagulation function of cold-stored platelet after 5-day storage． Conclusion The addition of NAC to re- frigerated platelets can significantly decrease the level of platelet ROS and effectively reduce their phagocytosis by cells，suggesting that NAC addition may protect refrigerated platelets from being cleared by phagocytosis after trans- fusion．

Objective:To evaluate the safety and efficacy of accelerator-based boron neutron capture therapy (AB-BNCT) in the treatment of recurrent and refractory malignant tumors.Methods:The data of 14 patients admitted to Xiamen Humanity Hospital from September 2022 to April 2023 were prospectively collected, including 7 patients with primary brain malignancies and 7 patients with locally recurrent inoperable head and neck malignancies. All patients received intravenous infusion of boron drug (NBB-001, p-dihydroxyborylphe nylalanine, a patented freeze-dried formulation) at a total nominal dosage of 500 mg/kg (11 patients) or 750 mg/kg (3 patients), and were irradiated with neutrons (operating with NeuPex system). Adverse events after treatment were recorded and assessed. The primary efficacy endpoint was the 90 d objective response rate (ORR), while the secondary endpoints included progression-free survival (PFS) and complete response rate (CRR). Data were compiled and analyzed by SAS 9.4 software. The rate and 95% CI were calculated using Clopper-Pearson method. Results:The median dose delivered to 80% of the target volume (D 80%) was 16.80 GyE (range: 8.93-23.79 GyE). The most common adverse reactions were hyperamylasemia, alopecia, and hyperprolactinemia. Five patients experienced 8 cases of grade 3 or above adverse events, including 1 case of grade 4 acute kidney injury and 7 cases of grade 3 adverse events. All adverse events were recovered after observation or treatment. At 90 d after treatment, the ORR of all patients was 9/14 (64%, 95% CI: 35%-87%), disease control rate (DCR) was 10/14 (71%, 95% CI: 42%-92%), CRR was 2/14 (14%, 95% CI: 2%-42%); and the best overall response during the entire course included an ORR of 10/14 (71% ,95% CI: 42%-92%), DCR of 13/14 (93%, 95% CI: 66%-100%), and CRR of 3/14 (21% ,95% CI: 5%-51%). The 1-year survival rate for head and neck malignancies was 71.4%, and the 2-year survival rate was 42.8%. The 1-year survival rate for recurrent brain malignancies was 42.8%. Conclusion:AB-BNCT demonstrates favorable safety and promising efficacy in treating primary brain malignancies and recurrent/refractory head and neck malignancies, representing a potential therapeutic option.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

To investigate the effect of capsaicin(CAP)on the replication of bovine viral diarrhea vi-rus(BVDV).Bovine nasal turbinate osteoblasts(BT)infected with BVDV served as the research model,and viral gene and protein levels were evaluated using RT-qPCR and Western blot.Moreo-ver,molecular docking,molecular dynamics simulation,and oil red O staining were applied to ana-lyze the mechanism by which CAP inhibits BVDV replication.The results revealed no significant effect of CAP at 6.25,12.5,25,and 50 mg/L on the viability of BT cells.CAP was found to signifi-cantly inhibit BVDV 5′UTR RNA and E2 protein levels,according to the antiviral effect study.Molecular docking and molecular dynamics simulations indicated that CAP could bind with high affinity to the active site of PI3K.Additional mechanistic studies indicated that CAP significantly reduced the activation of the PI3K/AKT signaling pathway triggered by BVDV.Furthermore,CAP notably decreased the mRNA levels of FASN,SREBP-1,and ACC-1,which are crucial fatty acid synthesis enzymes in the downstream PI3K/AKT signaling pathway,as well as the levels of lipid droplets.Interestingly,the addition of exogenous oleic acid greatly diminished the antiviral effec-tiveness of CAP and significantly lowered the mRNA levels of IFN-α and IFN-β.The results reveal for the first time that CAP can inhibit BVDV replication,establishing a foundation for its preven-tion and the development of feed additives.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

To investigate the effect of capsaicin(CAP)on the replication of bovine viral diarrhea vi-rus(BVDV).Bovine nasal turbinate osteoblasts(BT)infected with BVDV served as the research model,and viral gene and protein levels were evaluated using RT-qPCR and Western blot.Moreo-ver,molecular docking,molecular dynamics simulation,and oil red O staining were applied to ana-lyze the mechanism by which CAP inhibits BVDV replication.The results revealed no significant effect of CAP at 6.25,12.5,25,and 50 mg/L on the viability of BT cells.CAP was found to signifi-cantly inhibit BVDV 5′UTR RNA and E2 protein levels,according to the antiviral effect study.Molecular docking and molecular dynamics simulations indicated that CAP could bind with high affinity to the active site of PI3K.Additional mechanistic studies indicated that CAP significantly reduced the activation of the PI3K/AKT signaling pathway triggered by BVDV.Furthermore,CAP notably decreased the mRNA levels of FASN,SREBP-1,and ACC-1,which are crucial fatty acid synthesis enzymes in the downstream PI3K/AKT signaling pathway,as well as the levels of lipid droplets.Interestingly,the addition of exogenous oleic acid greatly diminished the antiviral effec-tiveness of CAP and significantly lowered the mRNA levels of IFN-α and IFN-β.The results reveal for the first time that CAP can inhibit BVDV replication,establishing a foundation for its preven-tion and the development of feed additives.