Objective: To construct a Family with sequence similarity 50 member A(FAM50A) gene knockout mouse insulinoma pancreatic β-cell line Beta-TC-6 using CRISPR/Cas9 gene editing technology and to prepare polyclonal antibodies specifically recognizing FAM50A. Methods: Two guide RNAs(sgRNAs) targeting the FAM50A gene were designed,and a recombinant plasmid expressing blue fluorescent protein(BFP) was constructed for gene knockout.The successfully constructed plasmid was transfected into Beta-TC-6 cells,and BFP-positive single cells were isolated for clonal expansion.The expanded monoclonal cell lines were genotyped by Sanger sequencing,and FAM50A protein expression was assessed by Western blot.Purified human recombinant FAM50A protein was used to immunize New Zealand rabbits for the preparation of a polyclonal antibody.The specificity of the prepared antibody was then validated using the successfully established FAM50A knockout cell line. Results: A monoclonal cell line with a successful knockout of the FAM50A gene was identified.Sanger sequencing confirmed base deletions at the target site.Western blot analysis showed a complete absence of FAM50A protein expression in this cell line.The prepared polyclonal antibody successfully recognized endogenous murine FAM50A protein in wild-type Beta-TC-6 cells and in hTERT-RPE1 cells overexpressing human FAM50A-GFP fusion protein,while no signal was detected in the FAM50A knockout cells. Conclusion This study successfully established a FAM50A gene knockout Beta-TC-6 cell model and generated a FAM50A polyclonal antibody,providing powerful tools for future research.

Metformin has been demonstrated to attenuate hyperglycaemia by modulating the gut microbiota. However, the mechanisms through which the microbiome mediates metformin monotherapy failure (MMF) are unclear. Herein, in a prospective clinical cohort study of newly diagnosed type 2 diabetes mellitus (T2DM) patients treated with metformin monotherapy, metagenomic sequencing of faecal samples revealed that Phocaeicola vulgatus abundance was approximately 12 times higher in nonresponders than in responders. P. vulgatus rapidly hydrolysed taurine-conjugated bile acids, leading to ceramide accumulation and reversing the improvements in glucose intolerance conferred by metformin in high-fat diet-fed mice. Interestingly, C22:0 ceramide bound to mitochondrial fission factor to induce mitochondrial fragmentation and impair hepatic oxidative phosphorylation in P. vulgatus-colonized hyperglycaemic mice, which could be exacerbated by metformin. This work suggests that metformin may be unsuitable for P. vulgatus-rich T2DM patients and that clinicians should be aware of metformin toxicity to mitochondria. Suppressing P. vulgatus growth with cefaclor or improving mitochondrial function using adenosylcobalamin may represent simple, safe, effective therapeutic strategies for addressing MMF.

Objective:To analyze the clinical characteristics, RAN-binding protein 2 ( RANBP2) gene variations, and prognosis in Chinese acute necrotizing encephalopathy (ANE) patients. Methods:A retrospective analysis of ANE cases registered in the Peking Union Medical College Hospital Encephalitis Registry System from 2022 to 2024, involving patients from Peking Union Medical College Hospital and other hospitals, was conducted. A descriptive study was performed on the clinical characteristics, treatments and prognosis, cerebrospinal fluid examination results, and imaging findings of these patients based on adjusted ANE diagnostic criteria. Whole-exome sequencing technology was used to detect gene mutations in these patients.Results:A total of 18 ANE cases were included, ranged in age from 2 to 72 [20(5, 43)] years. The male-to-female ratio was 4∶5. All patients were found with precipitating infections including COVID-19, influenza A virus and Mycoplasma pneumoniae infections. All patients presented with fever, with varying degrees of consciousness disturbance observed in 16 cases, and seizures in 10 cases. All patients underwent lumbar puncture, with normal or mildly elevated white cell counts [3(2, 13)×10 6/L] and mildly to moderately elevated protein levels [1.90(0.92, 4.65) g/L]. A total of 6 patients were found with extremely elevated interleukin-6 level [950(164, 2 000) pg/ml] in cerebrospinal fluid. Bilateral symmetric thalamic lesions were typical imaging features of ANE, while involvement of other areas such as cortical and subcortical white matter, brainstem, and cerebellum was also observed. A total of 14 patients performed genetic tests while 4 patients were identified with RANBP2 gene mutations (c.1754C>T in 3 cases, c.1966A>G in 1 case). All patients received immunotherapy, and 7 patients died at discharge while other patients presented with neurological sequelae of varying degrees. Conclusions:ANE is a rare and severe parainfectious encephalopathy that can occur in both children and adults. Clinically, it is characterized by rapidly progressing encephalopathy following systematic infection, with bilateral symmetric thalamic lesions. The detection of RANBP2 gene mutations could help make the diagnosis.

Acute large vessel occlusion stroke(ALVOS)of anterior circulation is associated with severe clinical manifestations and high rates of disability and mortality.Mechanical thrombectomy has emerged as the primary therapeutic intervention.However,post-procedural outcomes remain highly variable,and patients continue to face elevated risks of poor prognosis.Machine learning,a transformative tool in medical research,enables comprehensive analysis of multimodal data to identify specific biomarkers and improve the accuracy of predictions for clinical outcomes and adverse events.This review summarized the latest developments in machine learning applications aim at predicting post-thrombectomy prognosis and risk of adverse event,including futile recanalization,hemorrhagic transformation,and malignant cerebral edema in patients with anterior circulation ALVOS in order to provide a basis for developing personalized treatment plan and improve their clinical prognosis.

Objective:To analyze the clinical characteristics, RAN-binding protein 2 ( RANBP2) gene variations, and prognosis in Chinese acute necrotizing encephalopathy (ANE) patients. Methods:A retrospective analysis of ANE cases registered in the Peking Union Medical College Hospital Encephalitis Registry System from 2022 to 2024, involving patients from Peking Union Medical College Hospital and other hospitals, was conducted. A descriptive study was performed on the clinical characteristics, treatments and prognosis, cerebrospinal fluid examination results, and imaging findings of these patients based on adjusted ANE diagnostic criteria. Whole-exome sequencing technology was used to detect gene mutations in these patients.Results:A total of 18 ANE cases were included, ranged in age from 2 to 72 [20(5, 43)] years. The male-to-female ratio was 4∶5. All patients were found with precipitating infections including COVID-19, influenza A virus and Mycoplasma pneumoniae infections. All patients presented with fever, with varying degrees of consciousness disturbance observed in 16 cases, and seizures in 10 cases. All patients underwent lumbar puncture, with normal or mildly elevated white cell counts [3(2, 13)×10 6/L] and mildly to moderately elevated protein levels [1.90(0.92, 4.65) g/L]. A total of 6 patients were found with extremely elevated interleukin-6 level [950(164, 2 000) pg/ml] in cerebrospinal fluid. Bilateral symmetric thalamic lesions were typical imaging features of ANE, while involvement of other areas such as cortical and subcortical white matter, brainstem, and cerebellum was also observed. A total of 14 patients performed genetic tests while 4 patients were identified with RANBP2 gene mutations (c.1754C>T in 3 cases, c.1966A>G in 1 case). All patients received immunotherapy, and 7 patients died at discharge while other patients presented with neurological sequelae of varying degrees. Conclusions:ANE is a rare and severe parainfectious encephalopathy that can occur in both children and adults. Clinically, it is characterized by rapidly progressing encephalopathy following systematic infection, with bilateral symmetric thalamic lesions. The detection of RANBP2 gene mutations could help make the diagnosis.

Objective:To explore the impact and underlying mechanisms of social support on illness uncertainty among parents of children with autism.Methods:A convenience sample of 312 parents of children with autism was recruited from the outpatient clinic of Peking University Sixth Hospital between September 2023 and January 2024. Data were collected using a general information questionnaire, the Chinese version of the Parent's Perception Uncertainty Scale (PPUS), the Social Support Scale for Families with Children with Autism, the Generalized Anxiety Disorder-7 (GAD-7), and the Questionnaire on Caregiving Issues and Service Needs of Parents of Children with Autism. Independent samples t-tests or one-way ANOVA were used to compare illness uncertainty scores across different characteristics. Pearson correlation analysis examined relationships among illness uncertainty, social support, caregiving issues and service needs, and anxiety. Chain mediation analysis was conducted using the SPSS macro PROCESS v4.1 to test the mediating roles of caregiving issues and service needs and anxiety. Results:The illness uncertainty score of the 307 valid respondents was (82.40±14.09). Mediation analysis indicated a direct effect of social support on illness uncertainty (effect value=-1.040), accounting for 72.27% of the total effect (-1.040/-1.439). A chain-mediated effect through caregiving issues and service needs and anxiety was also observed (effect value=-0.065), accounting for 4.50% of the total effect (-0.065/-1.439) .Conclusions:Parents of children with autism experience a relatively high level of illness uncertainty. Enhancing social support, addressing caregiving issues and service needs, alleviating parental anxiety may reduce their illness uncertainty.

Acute large vessel occlusion stroke(ALVOS)of anterior circulation is associated with severe clinical manifestations and high rates of disability and mortality.Mechanical thrombectomy has emerged as the primary therapeutic intervention.However,post-procedural outcomes remain highly variable,and patients continue to face elevated risks of poor prognosis.Machine learning,a transformative tool in medical research,enables comprehensive analysis of multimodal data to identify specific biomarkers and improve the accuracy of predictions for clinical outcomes and adverse events.This review summarized the latest developments in machine learning applications aim at predicting post-thrombectomy prognosis and risk of adverse event,including futile recanalization,hemorrhagic transformation,and malignant cerebral edema in patients with anterior circulation ALVOS in order to provide a basis for developing personalized treatment plan and improve their clinical prognosis.

Objective:To explore the impact and underlying mechanisms of social support on illness uncertainty among parents of children with autism.Methods:A convenience sample of 312 parents of children with autism was recruited from the outpatient clinic of Peking University Sixth Hospital between September 2023 and January 2024. Data were collected using a general information questionnaire, the Chinese version of the Parent's Perception Uncertainty Scale (PPUS), the Social Support Scale for Families with Children with Autism, the Generalized Anxiety Disorder-7 (GAD-7), and the Questionnaire on Caregiving Issues and Service Needs of Parents of Children with Autism. Independent samples t-tests or one-way ANOVA were used to compare illness uncertainty scores across different characteristics. Pearson correlation analysis examined relationships among illness uncertainty, social support, caregiving issues and service needs, and anxiety. Chain mediation analysis was conducted using the SPSS macro PROCESS v4.1 to test the mediating roles of caregiving issues and service needs and anxiety. Results:The illness uncertainty score of the 307 valid respondents was (82.40±14.09). Mediation analysis indicated a direct effect of social support on illness uncertainty (effect value=-1.040), accounting for 72.27% of the total effect (-1.040/-1.439). A chain-mediated effect through caregiving issues and service needs and anxiety was also observed (effect value=-0.065), accounting for 4.50% of the total effect (-0.065/-1.439) .Conclusions:Parents of children with autism experience a relatively high level of illness uncertainty. Enhancing social support, addressing caregiving issues and service needs, alleviating parental anxiety may reduce their illness uncertainty.

Objective to analyze the Budget Execution Rate of administrative departments in sample hospitals,and to realize the cost control of Budget performance integration with Balanced Score Card(BSC)Financial Dimension Quantitative Assessment.Methods The budget and execution data of 23 administrative departments were collected from January to June in the sample 2023.The budget execution rate was calculated and cleaned,and the data were segmented by histogram.Using the financial dimension 25 to divide by the total number of items in each department's budget to obtain the scoreof each item in each department,and using the interpolation method to calculate the cost scores of each department,then into the performance appraisal.Results(1)Each item score should be multiplied by item coefficient,and then sum up;(2)The total score of self-executing Project+the total score of centralized executing project.(3)Cost score:1 the scores of 8 departments of non-homing items were 5.54～15.76,2 the scores of 15 departments of homing items were 7.68～17.06.Conclusion It adopts the concept of BSC and Hospital Resource Planning as the cost control of administrative departments to make up for the lack of qualitative and quantitative BSC;can focus on monitoring the dispersion of large data;histogram score results of segmentation objective and easy to operate,makes the interpolation calculation more credible.In a word,it provides quantitative ideas and methods in the aspects of different responsibilities and difficult performance evaluation.

Objective To summarize and analyze the clinical phenotypes,hereditary features and treatment and follow-up strategies of different hereditary pheochromocytoma/paragangliomas(PCC/PGL)and related syndromes.Methods Forty-four clinically diagnosed PCC/PGL patients admitted in our hospital from January 2000 to August 2022 were enrolled,and the clinical data of them and their family members were collected.Second-generation sequencing was performed on 43 patients for genetic detection,and Sanger sequencing was applied to verify the mutation of the probands and family members.Results There were 15 patients diagnosed with hereditary PCC/PGL,including 7 cases of von Hippel-Lindau(VHL)syndrome,3 cases of multiple endocrine neoplasia type 2(MEN2),and 5 cases of familial paraganglioma syndrome.Seven VHL syndrome families were diagnosed as VHL2A(c.500G＞A),VHL2B(c.239G＞T and c.444_457del),and VHL2C(c.293A＞G)according to their clinical manifestations.All probands received surgical treatment,and 2 cases of recurrent PCC and the patients with multiple renal cancer also received targeted therapy with sunitinib.Three MEN2 families carried c.1901G＞C,c.1832G＞A,and c.1901G＞A missense mutations,respectively,and were diagnosed with MEN2A clinically.All of them underwent adrenalectomy and thyroidectomy,including one for preventive thyroidectomy.Among the 5 familial paraganglioma syndrome families,4 patients carried SDHB mutations(SDHB:c.343C＞T,c.541-2A＞G,c.575G＞A,c.268C＞T)and 1 patient carried an SDHD mutation(SDHD:c.337_340del).Sporadic retroperitoneal PGL were most common.Conclusion More than 1/3 of PCC/PGL patients carry germline gene mutations,showing obvious genotype-phenotype correlation.Genetic diagnosis technology plays an important guidance role for clinical precision treatment and follow-up,and genetic counseling.