1.Systemic lupus erythematosus related thrombotic microangiopathy: A retrospective study based on Chinese SLE Treatment and Research Group (CSTAR) registry.
Yupei ZHANG ; Nan JIANG ; Zhen CHEN ; Xinwang DUAN ; Xiaofei SHI ; Hongbin LI ; Zhenyu JIANG ; Yuhua WANG ; Yanhong WANG ; Jiuliang ZHAO ; Qian WANG ; Xinping TIAN ; Mengtao LI ; Xiaofeng ZENG
Chinese Medical Journal 2025;138(5):613-615
2.Cross-session motor imagery-electroencephalography decoding with Riemannian spatial filtering and domain adaptation.
Lincong PAN ; Xinwei SUN ; Kun WANG ; Yupei CAO ; Minpeng XU ; Dong MING
Journal of Biomedical Engineering 2025;42(2):272-279
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*
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Brain-Computer Interfaces
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Humans
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Imagination/physiology*
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Signal Processing, Computer-Assisted
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Movement/physiology*
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Signal-To-Noise Ratio
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Deep Learning
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Algorithms
3.Analysis of 237 cases of thyroid related adverse drug reaction induced by lithium carbonate
Fang WANG ; Li ZHAO ; Yuru YAN ; Yupei HAO ; Yongli LIU
China Modern Doctor 2025;63(18):50-53,67
Objective To investigate the regularity and characteristics of lithium carbonate-induced thyroid adverse drug reaction(ADR),to provide reference for clinical rational drug use.Methods The case reports of thyroid ADR caused by lithium carbonate in National Center for ADR Monitoring,China were retrieved,and the gender and age of patients,medication reasons,combined medication,dosage and clinical manifestations of thyroid ADR were retrospectively analyzed.Results A total of 237 cases of thyroid ADR caused by lithium carbonate were reported,the ratio of male to female was 1∶1.7,the frequency was higher in the age group of 20 to 29 years,and the proportion of drug use within the range of instruction dosage was 97.8%.According to the statistics of drugs used in combination,the most drugs were for mental disorders,and the time of ADR occurrence was mostly 10 to 30 days after taking the drug.The main clinical manifestations of thyroid ADR were hypothyroidism,goiter and hyperthyroidism.Conclusion Lithium carbonate-induced thyroid ADR mostly occurred at the therapeutic dose,which was related to the patient's gender,age,combined medication and other factors.Clinicians and pharmacists should master the rules and characteristics of thyroid ADR caused by lithium carbonate,timely detect and treat ADR,to provide guarantee for the safety of patients' medication.
4.Predicting Intensive Care Unit Mortality in Patients With Heart Failure Combined With Acute Kidney Injury Using an Interpretable Machine Learning Model:A Retrospective Cohort Study
Xinyao LUO ; Dingyuan WAN ; Ke WANG ; Yupei LI ; Ruoxi LIAO ; Baihai SU
Journal of Sichuan University (Medical Sciences) 2025;56(1):183-190
Objective Heart failure(HF)complicated by acute kidney injury(AKI)significantly impacts patient outcomes,and it is crucial to make early predictions of short-term mortality.This study is focused on developing an interpretable machine learning model to enhance early prediction accuracy in such clinical scenarios.Methods This retrospective cohort study utilized data from the Medical Information Mart for Intensive Care Ⅳ(MIMIC-Ⅳ,version 2.0)database.Data from the first 24 hours after admission to the ICU were extracted and divided into a training set(70%)and a validation set(30%).We utilized the SHapley Additive exPlanation(SHAP)method to interpret the workings of an extreme gradient boosting(XGBoost)model and identify key prognostic factors.The XGBoost model's predictive ability was evaluated against three other machine learning models using the area under the curve(AUC)metric,and its interpretation was enhanced using the SHAP method.Results The study included 8 028 patients with HF complicated by AKI.The XGBoost model outperformed the other models,achieving an AUC of 0.93(95%confidence interval[CI]:0.78-0.94;accuracy=0.89),while neural network model showed the worst performance(AUC=0.79,95%CI:0.77-0.82;accuracy=0.82).Decision curve analysis showed the superior net benefit of the XGBoost model within the 9%to 60%threshold probabilities.SHAP analysis was performed to identify the top 20 predictors,with age(mean SHAP value 1.29)and Glasgow Coma Scale score(mean SHAP value 1.24)emerging as significant factors.Conclusions Our interpretable model offers an enhanced ability to predict mortality risk in HF patients with AKI in ICUs.This model can be used to assist in formulating effective treatment plans and optimizing resource allocation.
5.Clinical phenotype and genetic analysis of a child with CAKUTHED syndrome due to variant of PBX1 gene.
Jiao TANG ; Chuan ZHANG ; Ruiqiong YANG ; Xinyuan TIAN ; Bingbo ZHOU ; Yupei WANG ; Ling HUI
Chinese Journal of Medical Genetics 2025;42(12):1471-1476
UNLABELLED:
OBJECTIVE:To explore the clinical characteristics and genetic etiology of a child with CAKUTHED syndrome.
METHODS:
A child who was admitted to the neonatal department of Gansu Provincial Maternal and Child Health Care Hospital due to "neonatal asphyxia" in May 2021 was selected as the study subject. Genomic DNA was extracted from peripheral venous blood samples from the child and his parents, and whole exome sequencing (WES) was carried out. Sanger sequencing was used to verify the candidate variant of the PBX1 gene. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), the pathogenicity of candidate variants was rated. This study was approved by the Medical Ethics Committee of the Hospital [Ethics No.: 2021GSFY (65)].
RESULTS:
The proband, a male neonate, manifested renal dysplasia, congenital heart disease, pulmonary dysplasia, mediastinal hernia, cryptorchidism, and clavicle dysplasia. WES revealed that he had harbored a heterozygous c.863G>A (p.Arg288Gln) missense variant in exon 6 of PBX1 gene, which resulted substitution of Arginine at position 288 by Glutamine, for which both parents were of the wild type. The variant was unreported previously and rated as pathogenic (PS2+PM1+PM2_Supporting+PP2+PP3) based on the ACMG guidelines.
CONCLUSION
The c.863G>A variant of the PBX1 gene probably underlay the pathogenesis in the proband. Above finding has enriched the mutational spectrum of the PBX1 gene.
Humans
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Male
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Pre-B-Cell Leukemia Transcription Factor 1/genetics*
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Phenotype
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Infant, Newborn
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Exome Sequencing
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Mutation, Missense
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Heart Defects, Congenital/genetics*
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Abnormalities, Multiple/genetics*
6.Phase II study of radiotherapy combined with anlotinib in the treatment of inoperable non-small cell lung cancer
Haiyuan LI ; Yupei YUAN ; Tao ZHANG ; Lei DENG ; Wenyang LIU ; Wenqing WANG ; Xin WANG ; Jima LYU ; Zongmei ZHOU ; Qinfu FENG ; Zefen XIAO ; Nan BI ; Jianyang WANG
Chinese Journal of Radiation Oncology 2025;34(4):334-339
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.
7.Systemic inflammatory score predicts survival of patient with unresectable stage Ⅲ non-small cell lung cancer treated by definitive chemoradiotherapy combined with consolidation immunotherapy
Shihong LUO ; Yupei YUAN ; Yu WANG ; Yin YANG ; Tao ZHANG ; Lei DENG ; Wenyang LIU ; Wenqing WANG ; Xin WANG ; Jima LYU ; Zongmei ZHOU ; Jianyang WANG ; Nan BI
Chinese Journal of Radiation Oncology 2025;34(10):993-1000
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.
8.The bidirectional selection and shared adaptation mechanisms of tumor organ-specific metastasis
Xing WANG ; Ruiling XIAO ; Jialu BAI ; Decheng JIANG ; Feihan ZHOU ; Xiyuan LUO ; Yuemeng TANG ; Yupei ZHAO
China Oncology 2025;35(5):485-495
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.
9.Pulmonary abscess caused by Slackia exigua:a case report and literature review
Yupei XIANG ; Bing FAN ; Jinling LI ; Xiaohong LI ; Jianhong WANG
Chinese Journal of Infection and Chemotherapy 2025;25(5):530-534
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.
10.Clinical manifestation and genetics analysis of hereditary spastic paraplegia families
Chuan ZHANG ; Ling HUI ; Bingbo ZHOU ; Lei ZHENG ; Yupei WANG ; Xinyuan TIAN ; Panpan MA ; Shengju HAO ; Zhenqiang DA
Chinese Journal of Nervous and Mental Diseases 2025;51(3):129-134
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.

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