Peripheral nerve injury (PNI) encompasses damage to nerves located outside the central nervous system, adversely affecting both motor and sensory functions. Although peripheral nerves possess an intrinsic capacity for self-repair, severe injuries frequently result in significant tissue loss and erroneous axonal junctions, thereby impeding complete recovery and potentially causing neuropathic pain. Various therapeutic strategies, including surgical interventions, biomaterials, and pharmacological agents, have been developed to enhance nerve repair processes. While preclinical studies in animal models have demonstrated the efficacy of certain pharmacological agents in promoting nerve regeneration and mitigating inflammation, only a limited number of these agents have been translated into clinical practice to expedite nerve regeneration. Chinese herb medicine (CHM) possesses a longstanding history in the treatment of various ailments and demonstrates potential efficacy in addressing PNI through its distinctive, cost-effective, and multifaceted methodologies. This review critically examines the advancements in the application of CHM for PNI treatment and nerve regeneration. In particular, we have summarized the most commonly employed and rigorously investigated CHM prescriptions, individual herbs, and natural products, elucidating their respective functions and underlying mechanisms in the context of PNI treatment. Furthermore, we have deliberated on the prospective development of CHM in both clinical practice and fundamental research.
Drugs, Chinese Herbal/pharmacology* ; Humans ; Peripheral Nerve Injuries/drug therapy* ; Animals ; Nerve Regeneration/drug effects* ; Medicine, Chinese Traditional

To address the challenges faced by current brain midline segmentation techniques, such as insufficient accuracy and poor segmentation continuity, this paper proposes a deep learning network model based on a two-stage framework. On the first stage of the model, prior knowledge of the feature consistency of adjacent brain midline slices under normal and pathological conditions is utilized. Associated midline slices are selected through slice similarity analysis, and a novel feature weighting strategy is adopted to collaboratively fuse the overall change characteristics and spatial information of these associated slices, thereby enhancing the feature representation of the brain midline in the intracranial region. On the second stage, the optimal path search strategy for the brain midline is employed based on the network output probability map, which effectively addresses the problem of discontinuous midline segmentation. The method proposed in this paper achieved satisfactory results on the CQ500 dataset provided by the Center for Advanced Research in Imaging, Neurosciences and Genomics, New Delhi, India. The Dice similarity coefficient (DSC), Hausdorff distance (HD), average symmetric surface distance (ASSD), and normalized surface Dice (NSD) were 67.38 ± 10.49, 24.22 ± 24.84, 1.33 ± 1.83, and 0.82 ± 0.09, respectively. The experimental results demonstrate that the proposed method can fully utilize the prior knowledge of medical images to effectively achieve accurate segmentation of the brain midline, providing valuable assistance for subsequent identification of the brain midline by clinicians.
Humans ; Brain/diagnostic imaging* ; Deep Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Magnetic Resonance Imaging/methods* ; Neural Networks, Computer

Respiratory viral infections pose serious threats to human health,particularly highlighted by recent pandemics caused by influenza viruses and coronaviruses.Natural products,characterized by their structural diversity and unique biological activities,offer promising resources for antiviral drug development.This review systematically summarizes the biological features,infection mechanisms,and antiviral targets of five major respiratory viruses—namely influenza virus,coronavirus,respiratory syncytial virus,human rhinovirus,and human metapneumovirus.It highlights recent progress in the discovery of antiviral natural products,including their chemical structures,mechanisms of action,and in vitro/in vivo activities.Many of these compounds not only inhibit viral entry and replication but also modulate host immune responses,exhibiting broad-spectrum,low-toxicity,and high-efficiency potential.This work aims to provide theoretical references and lead compound resources for future antiviral drug discovery and mechanistic re-search.

Respiratory viral infections pose serious threats to human health,particularly highlighted by recent pandemics caused by influenza viruses and coronaviruses.Natural products,characterized by their structural diversity and unique biological activities,offer promising resources for antiviral drug development.This review systematically summarizes the biological features,infection mechanisms,and antiviral targets of five major respiratory viruses—namely influenza virus,coronavirus,respiratory syncytial virus,human rhinovirus,and human metapneumovirus.It highlights recent progress in the discovery of antiviral natural products,including their chemical structures,mechanisms of action,and in vitro/in vivo activities.Many of these compounds not only inhibit viral entry and replication but also modulate host immune responses,exhibiting broad-spectrum,low-toxicity,and high-efficiency potential.This work aims to provide theoretical references and lead compound resources for future antiviral drug discovery and mechanistic re-search.

Objective:To investigate the risk factors for 1-year survival rate in patients with spinal metastasis secondary to lung cancer.Methods:The data of 343 patients with spinal metastases secondary to lung cancer from January 2011 to December 2018 were retrospectively studied. There were 188 males (54.8%) and 155 females (45.2%) with an average age of 59.47±10.21 years old (range 23-91 years). The patients were divided into operation group (150 cases, 43.7%) and non operation group (193 cases, 56.3%). The demographics, types of primary tumor, non spinal metastasis, visceral metastasis, spinal metastasis and segments, pathological fractures of vertebra, Frankel classification, physical function status (Karnofsky performance scale, KPS), visual analogue score (VAS), the spinal instability neoplastic score (SINS) were recorded and analyzed. The impact of different treatments on the survival prognosis of patients with spinal metastasis was evaluated. The independent factors affecting survival in those patients were analyzed by Cox proportional hazards regression model.Results:The peak incidence of spinal metastases was found in the age group of 46-60 years (43.7%, 150/343). 38.5% (132/343) of the patients had pathological fractures of the involved vertebral body. 58.3% (200/343) of the patients had extraspinal bone metastasis. 36.2% (124/343) of the patients had visceral metastasis. Among the primary tumors, adenocarcinoma was the most common tpye (61.5%, 211/343), followed by large cell lung cancer (12.5%, 43/343), small cell lung cancer (6.4%, 22/343), squamous cell cancer (6.1%, 21/343) and mixed cell lung cancer (5.3%, 18/343). The type of lung cancer cells in about 8.2 (28/343) patients was unknown. Among the surgical patients, 21 patients underwent minimally invasive surgery (14.0%), 28 patients underwent simple decompression surgery (18.7%), 76 patients underwent separation surgery (50.7%), and 25 patients underwent radical surgery (16.6%). 59.3% (89/150) of the patients had a better neurological function than before surgery. The average survival time of all patients was 9.88 months with the median survival time of 8 (5,14) months. The survival rates were 62.1% (213/343), 30.0% (103/343), and 3.8% (13/343) at 6, 12, and 24 months, respectively. The average survival time of patients in the operation group was 10.24 months with the median survival time of 9 (5, 15) months, and the average survival time of patients in the non operation group was 9.41 months with the median survival time of 7 (5, 13) months with no significant difference between the groups (χ 2=0.300, P=0.584). Multivariate Cox proportional hazard regression model analysis showed that radiotherapy [ HR=1.913, 95% CI(1.471, 2.488), P<0.001], chemotherapy [ HR=1.313, 95% CI(1.040, 1.658), P=0.022], targeted drug therapy [ HR=1.683, 95% CI(1.221, 2.319), P=0.001], KPS [ HR=1.593, 95% CI(1.140, 2.225), P=0.006] and pathological type (non-small cell lung cancer) were independent factors affecting the 1-year survival rate of patients with spinal metastasis secondary to lung cancer [ HR=0.322, 95% CI(0.225, 0.460), P<0.001] with significant difference. Conclusion:Surgical treatment can improve both the neurological function and general status of patients with spinal metastasis. Treatments of radiotherapy, chemotherapy, and targeted drug therapy can significantly improve 1-year survival rate, while a KPS less than 50 points and a primary lung cancer other than adenocarcinoma were independent risk factors reducing 1-year survival rate.

Objective:To investigate and verify a novel acute graft versus host disease (aGVHD) prevention protocol in the context of haploidentical hematopoietic stem cell transplantation (haplo-HSCT) .Methods:Patients who underwent haplo-HSCT in our center between January 2022 and December 2022 were included. All patients received reduced doses of cyclophosphamide, Rabbit anti-human tymoglobulin, ruxolitinib, methotrexate, cyclosporine, and MMF to prevent aGVHD. The transplantation outcomes, complications, and survival rate of all patients were investigated.Results:A total of 52 patients with haplo-HSCT were enrolled, 29 (55.8%) male and 23 (44.2%) female, with a median age of 28 (5-59) years. There were 25 cases of acute myeloid leukemia, 17 cases of acute lymphocyte leukemia, 6 cases of myelodysplastic syndrome, 2 cases of chronic myeloid leukemia and 2 cases of myeloproliferative neoplasms. 98.1% of patients had successful engraftment. The incidence of Ⅱ-Ⅳ aGVHD and Ⅲ-Ⅳ aGVHD was 19.2% (95% CI 8.2% -30.3% ) and 7.7% (95% CI 0.2% -15.2% ), respectively. No patients experienced severe gastrointestinal mucositis. The Epstein-Barr virus and CMV reactivation rates were 40.4% and 21.3%, respectively. 9.6% of patients relapsed during followup, with 1-year overall survival, progression-free survival, and non-relapse mortality rates of 86.5% (95% CI 76.9% -96.1% ), 78.8% (95% CI 67.4% -90.3% ) and 11.5% (95% CI 2.6% –20.5% ), respectively. Conclusion:Ruxolitinib combined with a low dose of PTCY is a safe and effective first-line aGVHD prevention strategy.

Cancer genomics has led to the discovery of numerous oncogenes and tumor suppressor genes that play critical roles in cancer development and progression.Oncogenes promote cell growth and proliferation,whereas tumor suppressor genes inhibit cell growth and division.The dysregulation of these genes can lead to the development of cancer.Recent studies have focused on non-coding RNAs(ncRNAs),including circular RNA(circRNA),long non-coding RNA(lncRNA),and microRNA(miRNA),as therapeutic targets for cancer.In this article,we discuss the oncogenes and tumor suppressor genes of ncRNAs associated with different types of cancer and their potential as therapeutic targets.Here,we highlight the mechanisms of action of these genes and their clinical applications in cancer treatment.Understanding the molecular mechanisms underlying cancer development and identifying specific therapeutic targets are essential steps towards the development of effective cancer treatments.

OBJECTIVE To distinguish Anoectochilus roxburghii and relative species by near infrared(NIR) spectroscopy combined with chemometrics, and to establish a prediction model for rapid determine polysaccharides contents in Anoectochilus roxburghii. METHODS The NIR spectroscopy of Anoectochilus roxburghii, Anoectochilus formosanus Hayata and Ludisia discolor were collected. The prepossessing of original spectrum was optimization through accuracy of classification in the NIR model, and six supervised pattern recognition algorithms such as decision tree, K-nearest neighbor algorithm, random forest, partial least squares regression discriminant analysis, linear discriminant analysis and support vector machine(SVM) were applied to identify effect of the classification effect, optimum algorithm and then establish qualitative model. The content of polysaccharides in 76 batches of Anoectochilus roxburghii samples were examined by ultraviolet visible spectrophotometry combined with phenol sulfuric acid method. In order to select optimization algorithm, six quantitative stoichiometry algorithms consisted of SVM, extreme learning machines, decision trees, random forests, principal component regression and partial least squares regression(PLS) were used to connect polysaccharide content and the NIR spectroscopy in Anoectochilus roxburghii respectively. The best method for determining the content of Anoectochilus roxburghii polysaccharides was further optimized by spectra pretreatment, band selection and number of band variables based on successive projection algorithm(SPA). RESULTS The NIR discriminant analysis model was established by SVM with SNV+SG+2ndD, and the classification accuracy was best. The prediction performance was evaluated based on the radial basis kernel function algorithm combined with confusion matrix and ROC curve, and the model performance was good. In addition, the quantitative analysis model was constructed by continuous projection-partial least squares by the prepossessing of SNV+SG+2ndD and the optimal band of 7 000-4 000 cm-1 with 97 of variables number. The accuracy was 0.992, which was the highest. The root mean square error calibration set, correlation coefficient of calibration set, and the root mean square error in validation set, correlation coefficient of validation set were 0.625, 0.993, 0.767, 0.992, separately. The prediction deviation was 8.467, and relative deviation of prediction set was less than 10%. CONCLUSION The established NIR-SVM qualitative model and SPA-PLS quantitative model are accurate and reliable, which are enable to identify Anoectochilus roxburghii and determine polysaccharide content nondestructively. It is a new and promising method for rapid evaluation of Anoectochilus roxburghii quality.

Humans ; Fasciitis/pathology* ; Fibroma/pathology* ; Gene Rearrangement ; Proto-Oncogene Proteins/genetics* ; Ubiquitin Thiolesterase

Objective:To explore the risk factors for death within 1 year after hip fracture surgery in the elderly.Methods:A case control study was made on the clinical data of 551 elderly patients with hip fracture treated in Second Affiliated Hospital of Soochow University from January 2019 to December 2020, including 182 males and 369 females; aged 65-100 years [80(73,86)years]. Joint replacement, cannulated screw fixation or proximal femoral nail fixation were performed. The patients were divided into survival group ( n=494) and death group ( n=57) based on the death within 1 year after surgery recorded at postoperative telephone follow-up. The gender, age, hypertension, diabetes, cardiovascular diseases, chronic respiratory diseases, neurological diseases, chronic renal failure, anemia on admission, fracture types, American anesthesiologist Association (ASA) classification, operative methods, preoperative waiting time, duration of operation and perioperative blood transfusion were recorded in two groups. Univariate Cox regression was used to analyze the correlation between the above indexes and death within 1 year after surgery. All indexes with P<0.2 in the univariate analysis were included in multivariate Cox regression analysis to clarify the independent risk factors for death within 1 year after surgery. Results:Univariate Cox regression analysis showed that death within 1 year after surgery correlated with gender, age chronic respiratory diseases, chronic renal failure and anemia on admission (all P<0.01), but not with hypertension, diabetes, cardiovascular diseases, neurological diseases, fracture types, ASA classification, operative methods, preoperative waiting time, duration of operation or perioperative blood transfusion (all P>0.05). Multivariate Cox regression analysis showed that male ( HR=2.08, 95% CI 1.20, 3.61, P<0.01), age ≥ 80 years ( HR=2.22, 95% CI 1.15, 4.28, P<0.05), chronic respiratory diseases ( HR=2.54, 95% CI 1.19, 5.40, P<0.05), chronic renal failure ( HR=4.57, 95% CI 1.27, 16.44, P<0.05), anemia on admission ( HR=2.82, 95% CI 1.38, 5.76, P<0.01) were significantly associated with death within 1 year after surgery. Conclusion:Male age≥ 80 years, chronic respiratory disease, chronic renal failure and anemia on admission are independent risk factors for death within 1 year after hip fracture surgery in the elderly.