The construction of a training system for visiting physicians in the department of rare diseases in China is an important measure to improve the overall diagnosis and treatment capacity for rare diseases and address the critical challenge of insufficient knowledge and skills among clinicians in practice. This article systematically describes the visiting physician training system established by the Department of Rare Diseases at Peking Union Medical College Hospital. It summarizes the training objectives and positioning, design logic, and learning modules of the system, aiming to provide a reference for the construction of the specialized talent team for rare diseases in China.

Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder primarily caused by pathogenic variants in the TSC1 or TSC2 genes. It is characterized by multisystem hamartomatous lesions and neuropsychiatric manifestations. Here we report a young male patient with TSC involving multiple organs, caused by a heterozygous frameshift mutation in TSC2 (c.2071delC, p.Arg691Alafs^*7). The patient initially presented with classic facial angiofibromas and hypomelanotic macules, and subsequently developed psychiatric and behavioral disturbances with auditory hallucinations. Neuroimaging revealed an intracranial mass lesion, which was confirmed as a subependymal giant cell astrocytoma on postoperative histopathology following surgery performed at an outside institution. After admission, the patient underwent a comprehensive diagnostic workup, and multidisciplinary treatment evaluation revealed extensive multisystem involve-ment, including the nervous system, skin, kidneys, lungs, heart, eyes, pancreas, liver and bones. Combined with relevant literature, this article discusses the molecular mechanisms, clinical phenotypes, and comprehensive management of TSC, in order to provide a reference for the standardized and individualized management of this disease.

Objective To explore the association between dynamic indexes of maternal progesterone in early pregnancy and the average level and growth rate of fetal head circumference(HC)in mid-and late pregnancy.Methods This study adopted a retrospective cohort design and included 255 singleton pregnant women in the maternal and infant cohort of The First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2024.The progesterone levels of their early venous blood were detected and divided into two groups of progesterone trajectories,namely,fluctuating type and increasing type,by morphology.The dynamic indicators of progesterone in early pregnancy were constructed:cumulative dynamic deviation index in the first trimester(CDDI-P1T),gestational age at progesterone peak(GA-PP),and maximal relative progesterone decline in the first trimester(MRD-P1T).The average head circumference level and linear growth rate of the fetuses in the middle and late pregnancy were calculated.Generalized linear regression(GLM)was used to analyze the linear association between progesterone dynamic indicators and head circumference development.The key gestational weeks of progesterone affecting fetal head development were explored by linear regression of gestational weeks.Ordinary least squares(OLS)regression and restricted cubic spline(RCS)plots were used to draw the nonlinear association between progesterone dynamic indicators and head circumference.Results Among the 255 pregnant women included,92.5％of the progesterone trajectories in early pregnancy were fluctuating,and 7.5％were increasing.The growth rates of the increasing progesterone trajectory group were higher in the second and third trimesters than in the fluctuating group,but the differences were not statistically significant(all P＞0.05).GLM analysis showed that for every 1 unit increase in CDDI-P1T,the head circumference in the middle and late pregnancy increased significantly by 1.574 cm and 1.193 cm(Z=3.714,2.885,P＜0.01).The delay of GA-PP was negatively correlated with the head circumference in the middle pregnancy(β=-0.190 cm,95％CI:-0.339--0.041,P=0.010)but positively correlated with the head circumference growth rate in the late pregnancy(β=0.022 cm/week,95％CI:0.003-0.041,P=0.025).A 10％decrease in the decline of CDDI-P1T increased the head circumference in the middle pregnancy by 0.200 cm(95％CI:0.016-0.384,P=0.033),and a 100％decrease in the decline increased the head circumference growth rate in the late pregnancy by 0.201 cm/week(95％CI:0.002-0.399,P=0.048).The analysis of the key time window showed that for every 20 nmol/L increase in progesterone during 9.5-13 weeks of pregnancy,the mid-term head circumference increased by 0.035-0.166 cm(Z=2.452-3.517,allP＜0.05),and the late-term head circumference increased by 0.767 cm during 9-13 weeks of pregnancy(Z=2.452-3.517,all P＜0.05).When progesterone increased during 9.5-10.5 weeks of pregnancy,the growth rate of mid-term head circumference increased by 0.013-0.023 cm/week(Z=2.074-2.243,all P＜0.01).When progesterone increased during 8.5-10.5 weeks of pregnancy,the growth rate of late-term head circumference increased by 0.010-0.026 cm/week(Z=2.061-3.137,all P＜0.05).Conclusion Progesterone dynamic index is a new sensitive tool for evaluating fetal head circumference development.There is a stage-specific window period for progesterone regulation.9.5-13 weeks of pregnancy is the critical period for progesterone to affect head circumference growth,and 9.5-10.5 weeks of pregnancy is the core window for regulating the growth rate of head circumference.Therefore,it is necessary to combine progesterone dynamic index and time window for individualized intervention to promote the transformation of prenatal care from pregnancy maintenance to eugenics intervention.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that seriously affects the health of the elderly, and the early diagnosis is crucial to slow down the progression of the disease. This review systematically examines the integrative applications of multimodal digital technologies in early AD identification, encompassing cognitive assessment, neuroimaging analysis, biomarker detection, and polygenic risk prediction, with the goal of enhancing diagnostic accuracy and operational efficiency. It was found that artificial intelligence-driven digital tools significantly improved screening efficiency by capturing subtle behavioral patterns and physiological signatures. Machine learning algorithms integrated with multimodal neuroimaging data optimize sensitivity in detecting structural brain abnormalities, while combinatorial analysis of digital biomarkers enables high-precision staging of AD pathology. Recent advancements highlight the critical role of digital technologies in facilitating multimodal biomarker integration and streamlining diagnostic workflows. The convergence of these innovative approaches provides a robust framework for early AD screening, offering patients accessible and efficient diagnostic pathways.

Coronavirus disease 2019(COVID-19)is an infectious disease caused by severe acute respiratory syn-drome coronavirus 2(SARS-CoV-2).SARS-CoV-2 has demonstrated neurotropic and neuroinvasive properties.SARS-CoV-2-infection-associated encephalitis is defined as encephalitis occurring within 6 weeks after acute SARS-CoV-2 infection.Recognizing SARS-CoV-2-infection-associated encephalitis remains clinically chal-lenging in the absence of clear etiological evidence,and SARS-CoV-2-infection-associated encephalitis also has u-nique pathophysiological mechanisms.This article reviews the clinical symptoms,cerebrospinal fluid characteris-tics,electroencephalogram,imaging manifestations,treatment and prognosis of patients with SARS-CoV-2-infec-tion-associated encephalitis,as well as the advances in the pathophysiological mechanisms underlying SARS-CoV-2-induced encephalitis,in order to improve the recognition of SARS-CoV-2-infection-associated encephalitis and fa-cilitate timely and effective treatment.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that seriously affects the health of the elderly, and the early diagnosis is crucial to slow down the progression of the disease. This review systematically examines the integrative applications of multimodal digital technologies in early AD identification, encompassing cognitive assessment, neuroimaging analysis, biomarker detection, and polygenic risk prediction, with the goal of enhancing diagnostic accuracy and operational efficiency. It was found that artificial intelligence-driven digital tools significantly improved screening efficiency by capturing subtle behavioral patterns and physiological signatures. Machine learning algorithms integrated with multimodal neuroimaging data optimize sensitivity in detecting structural brain abnormalities, while combinatorial analysis of digital biomarkers enables high-precision staging of AD pathology. Recent advancements highlight the critical role of digital technologies in facilitating multimodal biomarker integration and streamlining diagnostic workflows. The convergence of these innovative approaches provides a robust framework for early AD screening, offering patients accessible and efficient diagnostic pathways.

Objective:To investigate the relation between temporal expression changes of proline-rich transmembrane protein 2 ( PRRT2) gene and clinical progression of PRRT2-related paroxysmal disorders (PRPDs). Methods:A retrospective analysis was performed; 19 patients with PRPDs admitted to Department of Neurology, Second Affiliated Hospital of Guangzhou Medical University from July 2021 to July 2024 were enrolled; their clinical data, including onset age and disease progression, were collected. Using Bgee database, the PRRT2 gene expressions in different age groups were analyzed to explore their relations with clinical progression. Results:Among the 19 patients, 8 were diagnosed as having infantile convulsion with choreoathetosis (ICCA), 1 patient as having infantile convulsion, and 10 as having paroxysmal kinesigenic dyskinesia (PKD). Among patients with ICCA, the disease course was divided into two stages: in infantile period, it manifested as infantile convulsions at the onset, with an onset age of (5.75±1.03) months, ranged 4-7 months; in early childhood, no seizures were noted, enjoying a silent period and lasting for a period ranged 7-15 years; subsequently, the disease relapsed during adolescent, presenting as dyskinesia, with an onset age of (11.75±3.11) years, ranged 8-16 years. Among patients with PKD, onset age was (10.40±3.17) years, ranged 5-17 years. PRRT2 expression peaked before 1 year old, declined to the lowest level at 10 years old, and then gradually increased, reaching a second peak at 17 years old; PRRT2 expression demonstrated bimodal peaks during early childhood and adolescence. Conclusion:PRPDs progression shows a certain consistency with the temporal change of PRRT2 gene expression.

Objective:To investigate the prospective association between lifestyle and the risk for all-cause mortality in middle-aged and elderly residents in China.Methods:The data from China Health and Retirement Longitudinal Study were used. Baseline information about the lifestyle were collected through questionnaire survey and physical measurements, and the mortality data were obtained through surveys conducted at 2-3 year intervals. A total of 5 436 study participants were included. A comprehensive lifestyle including smoking, alcohol consumption, sleep, BMI and physical activity was constructed, and a multivariate-adjusted Cox proportional hazards regression model was used to estimate the association between lifestyle and the risk for all-cause mortality.Results:During the follow-up of average 8.2 years, 695 deaths were recorded. The comprehensive lifestyle score was linearly associated with the risk for all-cause mortality. Compared with the study participants with comprehensive lifestyle score of 0-1, those with score of 2-5 all had lower risk for all-cause mortality, with HRs of 0.78 (95% CI: 0.62-0.98), 0.56 (95% CI: 0.44-0.72), 0.36 (95% CI:0.27-0.48), and 0.33 (95% CI: 0.21-0.52), respectively. The results of Cox proportional hazards regression model analysis of single lifestyle showed that compared with those with unhealthy lifestyles, the HRs of all-cause mortality for study participants who never smoked, had moderate alcohol consumption, had appropriate night sleep, maintained healthy body weight and kept active physical activity were 0.70 (95% CI: 0.57-0.84), 0.76 (95% CI: 0.64-0.90), 0.79 (95% CI: 0.67-0.94), 0.73 (95% CI: 0.62-0.87), and 0.68 (95% CI: 0.58-0.80), respectively. Conclusions:Keeping healthy lifestyles can significantly reduce the risk for all-cause mortality in middle-aged and elderly residents China. The higher the healthy lifestyle level, the lower the risk for all-cause mortality.

Objective:To compare the clinical outcomes of APTT-HTO and Biplanar-high tibial osteotomy (Biplanar-HTO) in treating medial compartment knee osteoarthritis.Methods:A non-randomized controlled trial was conducted. Twenty-eight patients with medial compartment knee osteoarthritis who underwent HTO at the Affiliated Hospital of Guizhou Medical University from August 2021 to January 2022 were enrolled. Based on the patients' surgical preference, they were assigned to either the APTT-HTO group ( n=15) or the Biplanar-HTO group ( n=13), followed up for 12 months postoperatively. Postoperative pain Visual Analog Scale (VAS) scores, Knee Society Score (KSS), changes in patellar height (Caton-Deschamps Index, CDI), and posterior tibial slope (PTS) were compared between the two groups. Results:The APTT-HTO group demonstrated a significantly shorter operative time (64.13±4.85 min) compared to the Biplanar-HTO group (81.54±6.09 min) ( P<0.05). No significant differences were observed in intraoperative correction (APTT-HTO: 12.19°±4.85°; Biplanar-HTO: 11.23°±3.02°) or postoperative drainage volume (APTT-HTO: 47.00±13.79 ml; Biplanar-HTO: 47.00±11.17 ml) ( P>0.05). At 12-month follow-up (APTT-HTO: 13.93±2.05 months; Biplanar-HTO: 14.08±2.14 months; no dropouts), the APTT-HTO group showed no significant changes in PTS (9.32°±2.04° vs. preoperative 8.82°±1.89°) or CDI (0.95±0.11 vs. 0.98±0.11) ( P>0.05), while the Biplanar-HTO group exhibited increased PTS (13.27°±1.99° vs. 8.86°±1.99°) and decreased CDI (0.64±0.10 vs. 0.97±0.16) ( P<0.05). The differences in PTS and CDI between the APTT HTO group and the Biplanar HTO group at 12 months after surgery were statistically significant ( P<0.05). Both groups achieved significant clinical improvements: in APTT-HTO, VAS decreased (preopreation 4.80±1.01 to postopreation 1.06±0.88), KSS knee scores increased (47.67±12.03 to 87.93±4.38), and KSS function scores improved (48.00±4.93 to 67.00±5.91); in Biplanar-HTO, VAS reduced (5.08±1.12 to 1.85±1.14), KSS knee scores rose (46.85±11.48 to 85.85±5.11), and KSS function scores enhanced (46.92±5.60 to 66.92±5.22) ( P<0.05 for all). Complications included soft tissue irritation (2 cases per group), with Biplanar-HTO additionally reporting deep vein thrombosis (1 case), hinge fracture (1 case), and patella baja (3 cases). Conclusions:Both APTT-HTO and Biplanar-HTO effectively treat medial compartment knee osteoarthritis. However, APTT-HTO outperforms Biplanar-HTO in preventing postoperative patella infera and minimizing alterations in PTS.

Objective:To build an experimental curriculum system of Oral Preventive Medicine with the goal of improving the job competence of oral medical students.Methods:By establishing knowledge modules, adjusting the experimental content, integrating teaching methods, and improving the comprehensive assessment system of teaching, the teaching reform is carried out in the experimental teaching of Oral Preventive Medicine for undergraduates from 2016 to 2017 in the Department of Stomatology at Zhuhai Campus of Zunyi Medical University.Results:The experimental curriculum system and teaching evaluation system of Oral Preventive Medicine with the goal of improving the job competence of medical students have been established. Cultivate students' independent learning ability and innovative and practical spirit, guide undergraduates to participate in social services, enhance the sense of social responsibility, and integrate theoretical education, ability training and quality education.Conclusions:Explore the new model of experimental oral medicine teaching, initially build the experimental curriculum system of Oral Preventive Medicine with the goal of job competence, promote the transformation of undergraduate teaching concept, deepen the connotation of teaching, and improve the depth and breadth of the teaching of Oral Preventive Medicine.