OBJECTIVE To evaluate the clinical efficacy of Chaihu anxin capsules in the treatment of mild-to-moderate depression， analyze the influencing factors of its efficacy, construct a nomogram prediction model.METHODS Patients with mild-to-moderate depression treated at The First Hospital of Hebei Medical University from May 1， 2023 to March 10， 2025 were retrospectively included and categorized into Chaihu anxin capsules group and milnacipran group according to treatment regimen. Propensity score matching （PSM） was used to balance baseline characteristics， and treatment efficacy was compared after 8 weeks， including 24 Hamilton Depression Scale （HAMD-24） scores and changes， Hamilton Anxiety Scale （HAMA） scores and changes， and treatment response rate after 8 weeks of treatment. Patients receiving Chaihu anxin capsules were further classified as responders or non-responders based on the occurrence of treatment response. Univariate and multivariate Logistic regression analyses were conducted to identify the influencing factors of treatment response， and a nomogram model was constructed to predict the probability of treatment response， its predictive performance was evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis.RESULTS A total of 297 patients were included before PSM， including 196 patients in the Chaihu anxin capsules group and 101 patients in the milnacipran group. After PSM， each group included 44 patients. After PSM， the HAMD-24 scores and HAMA scores at 8 weeks after treatment in the Chaihu anxin capsules group， as well as the HAMD-24 scores in the milnacipran group， were significantly lower than their respective baseline values （ P ＜0.05）； the change in HAMA score in the Chaihu anxin capsules group was significantly greater than that in the milnacipran group （ P ＝0.04）. Multivariable Logistic regression identified age， total bilirubin， and baseline HAMD-24 score as independent predictors of treatment response （ P ＜0.05）. The area under the ROC curve of the constructed nomogram prediction model was 0.72 （95% confidence interval： 0.637-0.799）， and the corrected Brier score was 0.143 （95% confidence interval： 0.112-0.176）； compared with the “all intervention” and “all non intervention” strategies， applying this nomogram prediction model could achieve higher net benefits within the threshold probability range of 8% to 37%.CONCLUSIONS The efficacy of Chaihu anxin capsules in improving mild-to-moderate depression is comparable to that of milnacipran， and it has certain advantages in improving anxiety symptoms； age， total bilirubin， and baseline HAMD-24 score are independent influencing factors for the treatment response of Chaihu anxin capsules. The nomogram prediction model constructed based on these factors has good discrimination， calibration， and clinical applicability.

Objective To analyze the clinical manifestations and genetic etiology of three families with hereditary spastic paraplegia(HSP).Methods Gene analysis was performed on patients of the three HSP families from the Gansu Provincial Maternity and Child-care Hospital.Results The proband of family 1 was autosomal recessive spastic paraplegia type 35 caused by homozygous variant c.159_176delGGCGGGCCAGGACATCAG(p.Arg53_Ser59delinsSer)in FA2H.The proband in family 2 was autosomal recessive spastic paraplegia type 47 caused by homozygous variant c.1399G>T(p.Glu467Ter)in AP4B1,and the proband in family 3 was autosomal recessive spastic paraplegia type 11 caused by homozygous variation c.7023C>G(p.Tyr2341Ter)in SPG11.Among them,the variant c.1399G>T(p.Glu467Ter)of AP4B1 is a novel variant,that has not been reported before,according to the ACMG guidelines,the pathogenicity of this variant is pathogenic.Conclusion This study has expanded the variant spectrum of AP4B1 which provides basic data to improve clinical understanding and diagnostic capabilities of HSP patients.

Motor imagery (MI) is a mental process that can be recognized by electroencephalography (EEG) without actual movement. It has significant research value and application potential in the field of brain-computer interface (BCI) technology. To address the challenges posed by the non-stationary nature and low signal-to-noise ratio of MI-EEG signals, this study proposed a Riemannian spatial filtering and domain adaptation (RSFDA) method for improving the accuracy and efficiency of cross-session MI-BCI classification tasks. The approach addressed the issue of inconsistent data distribution between source and target domains through a multi-module collaborative framework, which enhanced the generalization capability of cross-session MI-EEG classification models. Comparative experiments were conducted on three public datasets to evaluate RSFDA against eight existing methods in terms of classification accuracy and computational efficiency. The experimental results demonstrated that RSFDA achieved an average classification accuracy of 79.37%, outperforming the state-of-the-art deep learning method Tensor-CSPNet (76.46%) by 2.91% ( P < 0.01). Furthermore, the proposed method showed significantly lower computational costs, requiring only approximately 3 minutes of average training time compared to Tensor-CSPNet's 25 minutes, representing a reduction of 22 minutes. These findings indicate that the RSFDA method demonstrates superior performance in cross-session MI-EEG classification tasks by effectively balancing accuracy and efficiency. However, its applicability in complex transfer learning scenarios remains to be further investigated.
Electroencephalography/methods* ; Brain-Computer Interfaces ; Humans ; Imagination/physiology* ; Signal Processing, Computer-Assisted ; Movement/physiology* ; Signal-To-Noise Ratio ; Deep Learning ; Algorithms

Objective:To analyze the safety and short-term efficacy of thoracic radiotherapy combined with anlotinib in the treatment of inoperable non-small cell lung cancer (NSCLC).Methods:A prospective study was conducted on patients with unresectable locally advanced NSCLC who were intolerant to concurrent chemoradiotherapy and treated at the Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, from October 2020 to September 2023. Anlotinib was administered orally concurrently with radiotherapy (days 1-14, 21 days per cycle, for 3 cycles). Adverse effects and short-term tumor recurrence were observed from the beginning of radiotherapy to the 3-month post-radiotherapy. Kaplan-Meier method was used to calculate progression-free survival (PFS) and overall survival (OS) rates from the date of initial treatment (induction therapy), and intergroup comparisons were performed using the log-rank test.Results:The median age was 62 years (range:42-76 years), with a male predominance ( n=36, 88%) of the included 41 patients. The incidence of grade 3-4 acute hematologic adverse events was 20% (8 cases); the incidence of grade 3 hemoptysis was 2% (1 case), with no grade 4 hemoptysis; the incidence of grade 3-4 radiation pneumonitis was 10% (4 cases). No grade 5 adverse events were observed in the entire cohort. With a median follow-up of 19.7 months (range: 7.1-50.1 months), 19 patients (46%) experienced recurrence, including 4 patients (10%) with local recurrence, 6 patients (15%) with regional lymph node recurrence, and 11 patients (27%) with distant metastases. The 1-year PFS rate was 78.3%. 8 patients (20%) died, including 3 patients died from COVID-19 infection during the follow-up period, 1 patient who died from hypostatic pneumonia due to prolonged bed rest after cerebral infarction, and 4 patients died from tumor-related causes. The 1-year OS rate was 78.0%. Conclusions:Thoracic radiotherapy combined with anlotinib demonstrates good safety, manageable adverse events, and favorable short-term efficacy in NSCNC patients intolerant to concurrent chemoradiotherapy.

Objective:To analyze the prognostic value of systemic inflammatory score (SIS) in patients with unresectable stage Ⅲ non-small cell lung cancer (NSCLC) treated by definitive chemoradiotherapy (dCRT) combined with or without consolidation immunotherapy with immune checkpoint inhibitor (ICI).Methods:The medical record data of 229 patients who received dCRT from January 2014 to December 2017 and 183 patients who received dCRT combined with any form of ICI (induction, concurrent, consolidation or combination) from August 2018 to August 2022 in the Cancer Hospital, Chinese Academy of Medical Sciences were retrospectively analyzed. Upon admission, 1 and 3 months after treatment (efficacy evaluation) and upon tumor recurrence, peripheral blood count was collected, and neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and SIS were calculated, respectively. The SIS before, 1 and 3 months after treatment was defined as SIS 0, SIS 1 and SIS 3, respectively. Overall survival (OS) was considered as the primary endpoint. All patients were divided into dCRT group and dCRT+ICI group according to whether received immunotherapy, and then divided into different subgroups based on the cutoff value of SIS determined by X-Tile software. The prognostic value of SIS was evaluated by Kaplan-Meier survival analysis. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the predictive efficiency. The predictive value of SIS was compared with inflammatory indexes (NLR, PLR) and independent prognostic factors. Results:In the dCRT group, the optimal cutoff value of SIS 0 was 590×10 9 and 530×10 9 in the dCRT+ICIs group. Univariate and multivariate analyses indicated that SIS 0 was an independent predictive factor of OS, progression - free survival (PFS), local - recurrence free survival (LRFS) and distant metastasis free survival (DMFS) in the dCRT group, but not associated with DMFS in the dCRT+ICI group. In the dCRT group, SIS 1>970×10 9 (optimal cutoff value) predicted poor OS ( HR=2.512, 95% CI=1.622-3.198, P<0.001), PFS ( HR=1.726, 95% CI=1.187-2.509, P=0.004), and DMFS ( HR=1.625, 95% CI=1.029-2.564, P=0.037). In the dCRT+ICI group, SIS 3>1570×10 9 (optimal cutoff value) indicated poor OS ( HR=5.107, 95% CI=1.731-15.069, P=0.003). In both groups, the AUC of SIS was higher than NLR, PLR and other traditional clinicopathological predictive indexes except T stage. Conclusions:SIS before treatment can be considered as an independent, dependable and easily acquired prognostic marker in patients with unresectable stage Ⅲ NSCLC treated by dCRT or dCRT+ICI. In the dCRT+ICI group, the optimal time point of post-radiotherapy SIS (3 months after treatment) is postponed than that (1 month after treatment) in the dCRT group.

Metastasis is a pivotal and intricate process in the progression of malignant tumors,strongly correlating with poor prognosis.Approximately 90%of cancer-related mortality is attributed to metastasis,with the five-year survival rate for patients with metastatic solid tumors ranging from 5%to 30%.Consequently,a comprehensive understanding of the underlying biological mechanisms driving metastasis is essential for unraveling its core processes and developing novel therapeutic strategies.The metastatic cascade involves tumor cells navigating numerous biological barriers,including detachment from the primary tumor,invasion of blood vessels or lymphatics,survival in circulation,extravasation into distant organs and subsequent adaptation to the microenvironment.To surmount these challenges,tumor cells undergo phenotypic changes,genetic mutations and dysregulating signaling pathways.Additionally,microenvironmental factors(such as angiogenesis,matrix remodeling and immune evasion)play a critical role,orchestrating the initiation and growth of metastatic lesions in an interdependent manner.Organ-specific metastasis,a distinct subset of metastasis,involves dynamic bidirectional interactions between tumor cells and the microenvironment of target organs.These interactions determine the selectivity of metastatic spread and drive the adaptive evolution of both the tumor and the organ,which encompasses multiple layers of cellular interactions,including cell-cell and cell-matrix signaling.Tumor cell mutations,the release of specific signaling molecules,the capacity to withstand circulatory pressures,and signaling exchanges with target organs collectively govern the selective nature of organ-specific metastasis.Furthermore,factors intrinsic to the target organ-such as its regenerative potential,metabolic profile,immune surveillance mechanisms and matrix stiffness-further facilitate the adaptive remodeling of metastatic cells within these environments.Thus,the bidirectional selection and adaptation between tumor cells and target organs form a dynamic,complex system that reshapes our understanding of metastatic tumor development.While current research emphasizes shared biological features in metastasis,the successful formation of metastatic tumors depends not only on these common mechanisms but also on the unique characteristics governing organ-specific metastasis.The interplay between generalizable and organ-specific mechanisms profoundly influences the metastatic outcome.This review aimed to consolidate our current knowledge of these shared and distinct processes,analyze the evolving understanding of the bidirectional selection between tumor cells and target organs,and assess the current status of metastatic risk prediction models for patients without metastasis.Furthermore,the paper discussed the challenges and opportunities in managing advanced-stage metastatic tumors,offering new insights and potential clinical strategies to improve prognosis and treatment outcomes.

Objective To analyze the clinical manifestations and genetic etiology of three families with hereditary spastic paraplegia(HSP).Methods Gene analysis was performed on patients of the three HSP families from the Gansu Provincial Maternity and Child-care Hospital.Results The proband of family 1 was autosomal recessive spastic paraplegia type 35 caused by homozygous variant c.159_176delGGCGGGCCAGGACATCAG(p.Arg53_Ser59delinsSer)in FA2H.The proband in family 2 was autosomal recessive spastic paraplegia type 47 caused by homozygous variant c.1399G>T(p.Glu467Ter)in AP4B1,and the proband in family 3 was autosomal recessive spastic paraplegia type 11 caused by homozygous variation c.7023C>G(p.Tyr2341Ter)in SPG11.Among them,the variant c.1399G>T(p.Glu467Ter)of AP4B1 is a novel variant,that has not been reported before,according to the ACMG guidelines,the pathogenicity of this variant is pathogenic.Conclusion This study has expanded the variant spectrum of AP4B1 which provides basic data to improve clinical understanding and diagnostic capabilities of HSP patients.

Metastasis is a pivotal and intricate process in the progression of malignant tumors,strongly correlating with poor prognosis.Approximately 90%of cancer-related mortality is attributed to metastasis,with the five-year survival rate for patients with metastatic solid tumors ranging from 5%to 30%.Consequently,a comprehensive understanding of the underlying biological mechanisms driving metastasis is essential for unraveling its core processes and developing novel therapeutic strategies.The metastatic cascade involves tumor cells navigating numerous biological barriers,including detachment from the primary tumor,invasion of blood vessels or lymphatics,survival in circulation,extravasation into distant organs and subsequent adaptation to the microenvironment.To surmount these challenges,tumor cells undergo phenotypic changes,genetic mutations and dysregulating signaling pathways.Additionally,microenvironmental factors(such as angiogenesis,matrix remodeling and immune evasion)play a critical role,orchestrating the initiation and growth of metastatic lesions in an interdependent manner.Organ-specific metastasis,a distinct subset of metastasis,involves dynamic bidirectional interactions between tumor cells and the microenvironment of target organs.These interactions determine the selectivity of metastatic spread and drive the adaptive evolution of both the tumor and the organ,which encompasses multiple layers of cellular interactions,including cell-cell and cell-matrix signaling.Tumor cell mutations,the release of specific signaling molecules,the capacity to withstand circulatory pressures,and signaling exchanges with target organs collectively govern the selective nature of organ-specific metastasis.Furthermore,factors intrinsic to the target organ-such as its regenerative potential,metabolic profile,immune surveillance mechanisms and matrix stiffness-further facilitate the adaptive remodeling of metastatic cells within these environments.Thus,the bidirectional selection and adaptation between tumor cells and target organs form a dynamic,complex system that reshapes our understanding of metastatic tumor development.While current research emphasizes shared biological features in metastasis,the successful formation of metastatic tumors depends not only on these common mechanisms but also on the unique characteristics governing organ-specific metastasis.The interplay between generalizable and organ-specific mechanisms profoundly influences the metastatic outcome.This review aimed to consolidate our current knowledge of these shared and distinct processes,analyze the evolving understanding of the bidirectional selection between tumor cells and target organs,and assess the current status of metastatic risk prediction models for patients without metastasis.Furthermore,the paper discussed the challenges and opportunities in managing advanced-stage metastatic tumors,offering new insights and potential clinical strategies to improve prognosis and treatment outcomes.

Objective To review the clinical characteristics of Slackia exigua infections for improving the diagnosis and treatment.Methods We reviewed the clinical characteristics of a case of pulmonary abscess caused by Slackia exigua.The infection cases caused by Slackia exigua were searched and retrieved from PubMed,CNKI,and Wanfang databases,for the articles published during the period from January 1,2011 to December 31,2023.Results Among the 15 cases of Slackia exigua infection,84.6％(11/13)had underlying diseases.Hypertension was the most common underlying disease,reported in 54.5％(6/11)of patients.Fever was present in 73.3％(11/15)of patients.Oral diseases and abscess caused by Slackia exigua were found in 63.6％(7/11)and 60.0％(9/15)of patients,respectively.Mixed infection was identified in 33.3％(5/15)of patients.The bacterium was susceptible to penicillin,ampicillin-sulbactam,ceftriaxone,levofloxacin and clindamycin,but mostly(2/3)resistant to metronidazole.Conclusions Slackia exigua infection often originates from oral aspiration and can cause abscess.Beta-lactam antibiotics are preferred for treatment of Slackia exigua infections.More data are required to confirm whether metronidazole is effective.