Autosomal dominant tubulointerstitial kidney disease (ADTKD) is a rare autosomal dominant hereditary disorder characterized by hyperuricemia, gout, impaired urinary concentration, and progressive renal failure. It is primarily caused by mutations in uromodulin (UMOD) gene. This study reports a family with ADTKD in which whole-exome sequencing and Sanger sequencing identified a missense mutation in the UMOD gene, c.761A>C (p.H254P), present in both the proband and affected relatives. According to American College of Medical Genetics and Genomics (ACMG) guidelines, this variant is classified as likely pathogenic. The mutation results in an amino acid substitution that may impair UMOD protein folding and intracellular trafficking. UMOD gene mutations are associated with ADTKD, and genetic testing plays a vital role in the early diagnosis and treatment of this condition, highlighting its importance in the diagnosis of rare kidney diseases.
Adult ; Humans ; Male ; Exome Sequencing ; Mutation ; Mutation, Missense ; Nephritis, Interstitial/genetics* ; Pedigree ; Uromodulin/genetics*

Long-term spaceflight exposes astronauts to multiple extreme environmental factors, such as cosmic radiation, microgravity, social isolation, and circadian rhythm disruption, that markedly increase the risk of depressive symptoms, posing a direct threat to mental health and mission safety. However, the underlying biological mechanisms remain complex and incompletely understood. The potential mechanisms of spaceflight-induced depressive symptoms involve multiple domains, including alterations in brain structure and function, dysregulation of neurotransmitters and neurotrophic factors, oxidative stress, neuroinflammation, neuroendocrine system imbalance, and gut microbiota disturbances. Collectively, these changes may constitute the biological foundation of depressive in astronauts during spaceflight. Space-related stressors may increase the risk of depressive symptoms through several pathways: impairing hippocampal neuroplasticity, suppressing dopaminergic and serotonergic system function, reducing neurotrophic factor expression, triggering oxidative stress and inflammatory responses, activating the hypothalamic-pituitary-adrenal axis, and disrupting gut microbiota homeostasis. Future research should integrate advanced technologies such as brain-computer interfaces to develop individualized monitoring and intervention strategies, enabling real-time detection and effective prevention of depressive symptoms to safeguard astronauts' psychological well-being and mission safety.
Space Flight ; Humans ; Astronauts/psychology* ; Depression/physiopathology* ; Gastrointestinal Microbiome ; Weightlessness/adverse effects* ; Oxidative Stress ; Brain/physiopathology* ; Hypothalamo-Hypophyseal System ; Neuronal Plasticity ; Pituitary-Adrenal System

During long-duration manned space missions, the complex and extreme space environment exerts significant impacts on astronauts' physiological, psychological, and cognitive functions, thereby posing direct risks to mission safety and operational efficiency. As a key bridge between the brain and external devices, brain-computer interface (BCI) technology enables precise acquisition and interpretation of neural signals, offering a novel paradigm for human-machine collaboration in manned spaceflight. Non-invasive BCI technology shows broad application prospects across astronaut selection, mission training, in-orbit task execution, and post-mission rehabilitation. During mission preparation, multimodal signal assessment and neurofeedback training based on BCI can effectively enhance cognitive performance and psychological resilience. During mission execution, BCI can provide real-time monitoring of physiological and psychological states and enable intention-based device control, thereby improving operational efficiency and safety. In the post-mission rehabilitation phase, non-invasive BCI combined with neuromodulation may improve emotional and cognitive functions, support motor and cognitive recovery, and contribute to long-term health management. However, the application of BCI in space still faces challenges, including insufficient signal robustness, limited system adaptability, and suboptimal data processing efficiency. Looking forward, integrating multimodal physiological sensors with deep learning algorithms to achieve accurate monitoring and individualized intervention, and combining BCI with virtual reality and robotics to develop intelligent human-machine collaboration models, will provide more efficient support for space missions.
Brain-Computer Interfaces ; Humans ; Space Flight ; Astronauts/psychology* ; Neurofeedback ; Cognition ; Electroencephalography ; Man-Machine Systems

OBJECTIVES: Mobile phone dependence has become increasingly prominent among university students, posing significant risks to their social functioning and mental health. Previous studies suggest that perfectionistic personality traits may be key psychological predictors of mobile phone dependence, but the underlying mechanisms remain unclear. This study aims to identify core symptoms of mobile phone dependence among university students and to examine the pattern of associations between different dimensions of perfectionism and mobile phone dependence. METHODS: A cross-sectional questionnaire survey was conducted among 1404 university students nationwide. The Mobile Phone Involvement Questionnaire (MPIQ) and the Forst Multidimensional Perfectionism Scale (FMPS) were used to assess mobile phone use and perfectionism traits. The EBIC-GLASSO network model was constructed to analyze the network structure linking perfectionism and mobile phone dependence. RESULTS: A total of 56.48% of university students in the sample met the criteria for mobile phone dependence. The total FMPS score was positively correlated with the total MPIQ score (r=0.47, P<0.001). Results of multiple linear regression controlling for demographic variables showed that dimensions of FMPS score significantly predicted MPIQ score (all P<0.05). Network analysis revealed that the central dimension in perfectionism is "organization" (expected influence=2.69) and the core symptom of mobile phone dependence was "I lose track of how much I am using my smartphone" (expected influence= 0.78). Bridge centrality analysis identified "organization" as a key bridging factor linking perfectionism and mobile phone dependence (bridge strength=1.96). Among the symptom-to-symptom connections, "parental expectations" showed the strongest positive association with "arguments have arisen with others because of my mobile phone use" (partial correlation coefficient=0.15), serving as a risk factor. In contrast, "organization" was most strongly negatively associated with the same symptom (partial correlation coefficient=-0.13), serving as a protective factor, suggesting a protective effect. CONCLUSIONS Mobile phone dependence is common among college students and is primarily characterized by a lack of self-control in phone use. Although perfectionism is generally positively associated with mobile phone dependence, its internal dimensions appear to exert a dual effect. Specifically, "parental expectations" and "doubt over actions" may increase the risk of mobile phone dependence, whereas "organization" serves as a protective factor, particularly against interpersonal conflicts related to phone dependency.
Humans ; Perfectionism ; Students/psychology* ; Cell Phone ; Universities ; Cross-Sectional Studies ; Male ; Female ; Surveys and Questionnaires ; China ; Young Adult ; Adult ; Adolescent ; Personality

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Objective To observe the value of singular value decomposition(SVD)combined with block-matching and three-dimensional(BM3D)filtering for improving imaging quality of contrast-enhanced ultrasound(CEUS).Methods Three subject who would undergo liver,kidney and ovarian CEUS examination respectively were prospectively enrolled,and 250 images unaffected by respiratory movements were acquired in each one.SVD filtering was performed alone and combined with BM3D filtering,and contrast-to-tissue ratio(CTR),contrast-to-noise ratio(CNR)and signal-to-noise ratio(SNR)of the obtained CEUS images were calculated and compared.Results Compared with original CEUS images,CTR,CNR and SNR of SVD alone filtered CEUS images improved,which all further improved after combining with BM3D filtering.Conclusion SVD combined with BM3D filtering could significantly suppress the background tissue signals and remove noise,improving imaging quality of CEUS.

Objective To explore the therapeutic effect of Chaizhu Tiaoshen Dingxuan Fang in the treatment of syndrome of stagnation of liver qi and spleen deficiency in vestibular migraine(VM).Methods A total of 72 VM patients admitted to Jilin Academy of Chinese Medicine Sciences from January to October 2024 were selected and divided into treatment group and control group according to the random number table method,with 36 cases in each group.Patients in control group were treated with flunarizine hydrochloride capsules,while patients in treatment group were treated with Chaizhu Tiaoshen Dingxuan Fang.Both groups of patients were treated continuously for 4 weeks.The therapeutic effect scores of TCM syndromes,visual analogue scale(VAS)scores of vertigo,dizziness handicap inventory(DHI)scores and hospital anxiety and depression scale(HADS)scores of two groups of patients were compared.Results After treatment,the therapeutic effect scores of TCM syndromes in both groups were significantly lower than those before treatment in the same group(P＜0.05),and the therapeutic effect scores of TCM syndromes in treatment group were significantly lower than those in control group(P＜0.05).After the treatment,VAS score of vertigo,HADS scores,DHI scores of each dimension and the total score in treatment group were significantly lower than those in before treatment and control group(P＜0.05).Conclusion Chaizhu Tiaoshen Dingxuan Fang can effectively relieve the dizziness symptoms of patients with syndrome of stagnation of liver qi and spleen deficiency in VM,and reduce their anxiety and depression.

Objective:To analyze the value of 18F-FDG PET/CT combined with MRI in the diagnosis and differential diagnosis of ductal carcinoma in situ (DCIS) and early stage invasive ductal carcinoma (IDC). Methods:From September 2019 to December 2023, 12 patients with DCIS (all females; age 36-67 years) and 34 patients with early stage IDC (all females; age 36-73 years) in Qingdao Central Hospital were retrospectively analyzed. The general clinical information, MRI features, and 18F-FDG PET/CT features of patients were analyzed. χ2 test, Fisher exact test, and Mann-Whitney U test were used to analyze the data. The independent predictors of DCIS were analyzed by logistic regression analysis. The value of different indicators in diagnosing DCIS was analyzed using ROC curves analysis, and Delong test was used to assess the differences among AUCs. Results:The differences in tumor metabolic volume (MTV; 18.55(10.90, 76.30) vs 4.00(2.00, 11.45)cm 3) and total lesion glycolysis (TLG; 44.85(25.30, 125.30) vs 9.40(6.68, 22.35)g) of breast lesion, enhancement pattern (non-mass enhancement (NME); 8/12 vs 29.4%(10/34)), lobulation sign (0/12 vs 58.8%(20/34)), and apparent diffusion coefficient (ADC; 1.33 (1.16, 1.63)×10 -3vs 1.08 (0.75, 1.28)×10 -3mm 2/s) between DCIS and early stage IDC groups were statistically significant ( Z values: from -3.91 to -2.56, χ2=5.17, all P<0.05). When differentiating DCIS from early stage IDC, NME (odds ratio ( OR)=36.50, 95% CI: 2.15-618.52, P=0.013), ADC ( OR=7.85, 95% CI: 1.11-55.46, P=0.044), and TLG ( OR=1.06, 95% CI: 1.02-1.11, P=0.007) were independent predictors. The AUC of the three predictors combination was 0.941, which was higher than those of single predictors ( Z values: 2.00-2.80, P values: 0.005-0.046). Conclusion:The combination of 18F-FDG PET/CT and MRI improves the efficacy of differential diagnosis between DCIS and early stage IDC, thereby providing a basis for developing personalized treatment plans for patients.

Objective To explore the quality markers of Puerariae Lobatue Radix;To predict its"efficacy component group"with alcohol detoxification and liver protection effects.Methods Fingerprints of 26 batches of Puerariae Lobatue Radix samples from different origins in China was established.Multivariate statistical analysis was employed to identify quality markers,while network pharmacology and molecular docking were used to predict the potential"efficacy component group".Results UPLC fingerprint analysis calibrated 11 common peaks.Clustering analysis classified 26 batches of samples into 3 categories,and 7 quality markers were ultimately screened through multivariate statistical analysis,including mirificin,puerarin,puerarin-6''-O-xyloside,3'-methoxypuerarin,ononin,genistin and daidzin.Network pharmacology revealed that all 7 markers interacted with targets related to alcohol-associated liver disease,identifying 19 core targets such as TNF,CASP3,BCL2,MMP9,IL2,and 93 signaling pathways involving IL-17 and PI3K-Akt signaling pathways.Molecular docking demonstrated strong binding affinity between the 7 markers and target proteins,with binding energies<-5 kcal/mol.Conclusion The"efficacy component group",main targets and signaling pathways predicted in this study can provide support for the research on the mechanism,material basis and quality control of the alcohol detoxification and liver protection effects of Puerariae Lobatue Radix.

Alzheimer's disease (AD) is the leading neurodegenerative disorder in the nervous system, and there is still a lack of effective therapeutic drugs. Protecting neurons and synapses is crucial in reversing AD progression. Mesenchymal stem cell-derived exosome (MSC-Exo) is rich in various stem cell components such as proteins, RNAs, and DNAs; due to its strong ability in promoting nerve repair and inhibiting neuroinflammation, MSC-Exo is expected to become a potential choice for AD treatment. This article elaborates on the biological characteristics of MSC-Exo and its application and progress in AD treatment, aiming to provide reference for translational medicine research and clinical application of MSC-Exo in AD.