1.Construction of undergraduate rehabilitation engineering curriculum system based on World Health Organization rehabilitation competency framework
Yongli WEI ; Junhang DING ; Ping ZHOU ; Xiaoman YANG ; Zhen WANG ; Fujie YU ; Fangfang DUAN ; Enjing GUAN
Chinese Journal of Rehabilitation Theory and Practice 2026;32(6):731-738
ObjectiveTo address the shortage of high-caliber multidisciplinary professionals in China's rehabilitation engineering field and the prominent issue of "separation between medicine and engineering" in existing curricula, this study introduces the World Health Organization rehabilitation competency framework (RCF) to construct a systematic curriculum system for rehabilitation engineering. MethodsGuided by the four core competency domains of RCF (practice, professionalism, learning and development, management and leadership) and their associated supporting knowledge, the rehabilitation engineering curriculum was restructured into a modular framework, piloted and validated within the Biomedical Engineering (Intelligent Robotics) program at University of Health and Rehabilitation Sciences. ResultsA four-tiered curriculum system comprising General Education-Disciplinary Platform-Professional Core-Diverse Electives with a total of 160 credits was established, achieving precise mapping between competency objectives and course content. The students in the pilot cohort demonstrated outstanding academic performance (50% ranked in the top ten of their major), they also gained a deeper understanding and mastery of interdisciplinary knowledge integrating medicine and engineering. ConclusionThe RCF-based curriculum system effectively promotes the organic integration of medical and engineering knowledge, providing an internationally aligned competency-oriented paradigm for rehabilitation engineering talent cultivation, which holds significant value for broader application.
2.Analysis of scalp fungal communities in severe alopecia areata patients by ITS sequencing
Chunlan ZHANG ; Yilong LEI ; Ruixuan CHENG ; Dawei DUAN ; Xin DU ; Wenming ZHOU ; Dandan ZANG ; Feng WANG
Acta Universitatis Medicinalis Anhui 2026;61(3):576-582
ObjectiveTo compare the differences in fungal community composition between lesional and non-lesional scalp areas in patients suffering from severe alopecia areata (AA), and compare these with healthy scalp areas in control subjects. Additionally, to preliminarily explore the changes in scalp fungal communities in severe AA patients and their potential underlying immunological mechanisms. MethodsA total of 20 severe AA patients and 18 healthy controls were enrolled. Skin swab samples were collected from lesional and non-lesional scalp areas of severe AA patients, as well as from the normal scalp of healthy controls. The fungal internal transcribed spacer (ITS) region was amplified and analyzed using high-throughput sequencing. ResultsThe lesional scalp areas of severe AA patients exhibited higher α-diversity and species richness in fungal communities. Notably, the relative abundance of Ascomycota, along with genera such as Mycosphaerella, Aspergillus, Penicillium, and Wallemia, significantly increased in the bald regions. In contrast, Acremonium and Schizophyllum were more predominant in the non-lesional areas of severe AA patients. ConclusionDistinct region-specific differences in scalp fungal microbiota in severe AA patients suggests that fungal dysbiosis may play a potential role in the pathogenesis of alopecia areata. These findings provide new insights into the disease characteristics of severe AA from the perspective of scalp microecology.
3.Three-dimensional displacement and risk factors of midshaft clavicle fractures treated with titanium elastic intramedullary nailing
Junwei ZHANG ; Lingling CHEN ; Zhenyuan MA ; Weizhi NIE ; Chaohui LI ; Haitao WANG ; Laibao DUAN ; Jinyong HOU ; Hongzheng BI
Chinese Journal of Tissue Engineering Research 2026;30(2):269-277
BACKGROUND:Titanium elastic intramedullary nailing for the treatment of significantly displaced midshaft clavicle fractures has the characteristics of minimally invasive and elastic fixation.The displacement of the fracture is closely related to the later function.However,there are few studies on the three-dimensional displacement analysis of the fracture ends before surgery and after intramedullary fixation such as titanium elastic intramedullary nailing.OBJECTIVE:To explore the three-dimensional displacement of fracture ends after midshaft clavicle fracture and fixation with titanium elastic intramedullary nails,and to analyze the risk factors.METHODS:A total of 91 patients with midshaft clavicle fracture(fracture end shortening ≥15 mm)admitted to Wendeng Orthopedic Hospital of Shandong Province from April 2019 to April 2024 were selected,including 57 males and 34 females,aged(51.73±10.21)years old.All patients received closed reduction and internal fixation with titanium elastic intramedullary nail.CT scans of the affected clavicle were performed before and on the first day after surgery.The CT data were imported into Mimics software for modeling.The length of the clavicle,lateral displacement of the fracture end,and rotation of the distal end of the fracture along the X,Y,and Z axes were measured and recorded before and after surgery.Pearson correlation coefficient was used for correlation analysis of various parameters,and generalized linear regression was used to evaluate risk factors.RESULTS AND CONCLUSION:(1)Preoperatively,the variable that increased the risk of lateral displacement was the number of comminuted bone fragments,the variable that increased the risk of shortening displacement was male patients,and the variable that increased the risk of Z-axis rotation was the left limb.Shortening displacement was significantly positively correlated with lateral displacement(r=0.715,P<0.001);shortening displacement was significantly positively correlated with X-axis rotation displacement and Y-axis rotation displacement(r=0.265,P=0.028;r=0.303,P=0.011);lateral displacement was significantly positively correlated with Y-axis rotation and Z-axis rotation(r=0.258,P=0.032;r=0.250,P=0.038);X-axis rotation was significantly positively correlated with Y-axis rotation(r=0.382,P=0.001),and Z-axis rotation was significantly positively correlated with Y-axis rotation(r=0.280,P=0.020).(2)Postoperatively:The number of scapula fractures and comminuted bone fragments were variables that increased the risk of postoperative shortening and lateral displacement:Preoperative X-,Y-,and Z-axis rotation displacements were risk variables that increased postoperative X-,Y-,and Z-axis rotation displacements,respectively.Postoperative lateral displacement was significantly positively correlated with postoperative shortening and displacement(r=0.584,P=0.000),and postoperative lateral displacement was also significantly positively correlated with postoperative Y axis rotation and Z axis rotation(r=0.360,P=0.002;r=0.250,P=0.038).Postoperative Y axis rotation was significantly positively correlated with postoperative Z axis rotation(r=0.248,P=0.040).(3)The results showed that the three-dimensional displacement of the clavicle end before and after surgery was affected by many factors,especially the number of comminuted bone fragments,scapula fractures,gender,and original rotation displacement.At the same time,there were complex correlations between various displacements,especially the correlation between shortening displacement and lateral displacement was the strongest.
4.Primary Cilium-mediated Mechano-metabolic Coupling: Cross-system Homeostatic Regulation of The Nervous, Bone, Vascular, and Renal Systems
Liang-Chen DUAN ; Hao-Liang HU ; Shu-Zhi WANG ; Jia-Long YAN ; Lin-Xi CHEN
Progress in Biochemistry and Biophysics 2026;53(3):577-592
Primary cilia—those solitary, microtubule-based projections extending from the surface of most eukaryotic cells—are increasingly recognized not merely as cellular appendages, but as sophisticated signaling hubs. By compartmentalizing specific receptors (e.g., GPCRs) and effectors within a microdomain guarded by the transition zone, these organelles function effectively as high-gain sensors capable of integrating mechanical stimuli with metabolic cues. In this review, we examine the pivotal role of primary cilia across the nervous, bone-vascular, and renal landscapes, arguing for a unified “mechano-metabolic coupling” framework. Here, conserved ciliary modules are not static; rather, they are differentially deployed to uphold systemic homeostasis. Within the central nervous system, we position primary cilia as upstream integrators. We highlight how hypothalamic neuronal cilia concentrate metabolic receptors, such as the melanocortin 4 receptor (MC4R), to interpret energy status. Moreover, the recent identification of serotonergic “axon-cilium synapses” points to a direct mode of neurotransmission, wherein 5-HT6 receptors drive nuclear signaling and chromatin accessibility to rapidly modulate gene expression. Through these mechanisms, central cilia modulate sympathetic tone and neuroendocrine output, effectively establishing the mechanical and metabolic “boundary conditions” under which peripheral organs operate. Dysfunction in these central hubs is linked to obesity and neurodevelopmental disorders, including Bardet-Biedl syndrome. In peripheral tissues, cilia serve as versatile mechanotransducers that convert physical forces into biochemical responses. Regarding the bone-vascular system, we discuss the translation of mechanical loads and fluid shear stress into structural remodeling. In osteoblasts, specifically, ciliary integrity is intrinsically linked to cholesterol and glucose metabolism, fine-tuning the balance between Hedgehog and Wnt/β-catenin signaling to govern osteogenesis and bone repair. A similar dynamic exists in the vasculature, where endothelial cilia sense shear stress to modulate KLF4 expression and endothelial-to-mesenchymal transition—processes critical for valvulogenesis and vascular remodeling. Meanwhile, in the kidney, tubular cilia act as terminal effectors within a “shear-cilia-metabolism” axis. Here, fluid shear stress engages ciliary signaling to trigger AMPK-mediated lipophagy and mitochondrial biogenesis, thereby securing the ATP supply required for solute transport. Notably, dysregulation of this axis leads to metabolic reprogramming and aberrant proliferation, acting as a hallmark driver of cystogenesis in polycystic kidney disease (PKD). Crucially, this review attempts to dissect the often-conflated logic of cross-system integration by distinguishing 3 non-equivalent pathways: direct communication via ciliary extracellular vesicles, though this remains largely hypothetical in long-range signaling; “physiology-mediated cascades”, where ciliary dysfunction in a single organ—such as the kidney—precipitates systemic pathology through hemodynamic and metabolic shifts (e.g., altered blood pressure, fluid volume, or uremic toxins); and “parallel molecular defects”, where shared genetic mutations in ubiquitous components like the IFT machinery cause simultaneous, independent failures across multiple organ systems. Building on these distinctions, we propose a nested-loop model that links central set-points with peripheral feedback via physiological variables. Furthermore, we construct a “causality-to-translation” roadmap that pinpoints structural repair (e.g., targeting IFT assembly) and metabolic rescue (e.g., AMPK activation or autophagy induction) as promising therapeutic avenues. Ultimately, this framework provides a theoretical basis for deciphering the shared pathological mechanisms of multisystem ciliopathies, offering a strategic guide for the development of targeted interventions that go beyond symptomatic treatment.
5.Standards for the Application of Hemodynamic Monitoring Technology in Critical Care
Hua ZHAO ; Hongmin ZHANG ; Xin DING ; Huan CHEN ; Jun DUAN ; Wei DU ; Bo TANG ; Yuankai ZHOU ; Dongkai LI ; Xinchen WANG ; Cui WANG ; Gaosheng ZHOU ; Xiaoting WANG
Medical Journal of Peking Union Medical College Hospital 2026;17(1):73-85
With the rapid advancement of hemodynamic indices and monitoring technologies, their classification methods and application processes have become increasingly complex. Currently, no unified standard hasbeen established, making it difficult to fully meet the clinical requirements for hemodynamic management. To assist in hemodynamic monitoring assessment and therapeutic decision-making in critically ill patients, the Critical Hemodynamic Therapy Collaborative Group, in conjunction with the Critical Ultrasound Study Group, has jointly developed the Standard for the Application of Hemodynamic Monitoring Techniques in Critical Care. The first part of this standard systematically categorizes hemodynamic indicators into flow indicators, pressure and its derivative indicators, and tissue perfusion indicators, while elaborating on the clinical application of each. The second part establishes a standardized clinical implementation pathway for hemodynamic monitoring. It proposes a tiered monitoring strategy-comprising basic, advanced, indication-specific, and special scenario monitoring-tailored to different clinical settings. It emphasizes the central role of critical care ultrasound across all levels of monitoring and establishes hemodynamic assessment standards for organs such as the brain, kidneys, and gastrointestinal tract. This standard aims to provide a unified framework for clinical practice, teaching, training, and research in critical care medicine, thereby promoting standardized development within the discipline.
6.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
7.Preliminary study on an improved method for constructing internal quality control framework of ELISA
Youbin DUAN ; Rui WANG ; Le CHANG ; Changwen QIU ; Zhiqiang LI ; Gengrui CHEN ; Jingjuan YANG ; Qing HE ; Lunan WANG
Chinese Journal of Blood Transfusion 2026;39(1):103-108
Objective: To propose an improved method for constructing the internal quality control (IQC) framework for ELISA assays and validate its efficacy by statistically analyzing IQC data from nine blood center laboratories. Methods: 1) IQC data was collected from nine blood centers and analyzed using a domestic HBsAg ELISA detection kit as an example. 2) Differences between IQC values across batches within Blood Center 1 were assessed. 3) Statistical analyses were performed on batch usage, number of batches used, days of use, number of QC points, batch-specific means, and coefficients of variation (CV) across all nine centers. 4) Using the improved construction method for IQC framework, provisional and permanent frames were established for batches within Blood Center 1 and Blood Center 9, followed by outlier determination. Results: 1) Statistically significant differences were observed in IQC data between batches within Blood Center 1 (P<0.01). It is recommended that both the control material/reagents and the control chart framework be replaced simultaneously. 2) There were substantial differences among 9 blood centers regarding the control material/reagent lot numbers used, the number of QC runs per batch, and the QC values for identical lots. Therefore, individual laboratories should establish their own IQC chart frameworks. 3) The improved IQC framework construction method for ELISA assays is as follows: provisional frames are established via frame-shifting, using the pre-experimental mean and cumulative coefficient of variation (CV) from the preceding batch. For batches used >20 days with >20 QC points, permanent frames are constructed by aggregating in-control data accumulated over ≥20 days with ≥20 points to calculate cumulative mean and standard deviation. The provisional and permanent frames constructed by this method identified all 26 extreme outliers across Blood Centers 1 and 9 as out-of-control. Among the 218 general outliers, 10 were classified as normal by the provisional frames, while the remainder were designated as warnings or out-of-control. This method effectively monitors assay stability. Conclusion: Based on the statistical analysis of IQC practices across blood centers of varying scales, combined with the inherent characteristics of ELISA assays and the batch-to-batch instability of reagents/QC materials, it is recommended to reconstruct QC charts upon lot changes. The proposed method—utilizing frame-shifting for provisional frames and establishing permanent frames based on cumulative data—is applicable to blood center laboratories of differing sizes and effectively monitors the stability of the ELISA assay process.
8.Effect of Simiaowan on Promoting Ileal Uric Acid Excretion by Modulating Gut Microbiota to Improve Intestinal Barrier Function and Upregulate ABCG2 Expression in Rats
Yuan ZHANG ; Zhongyou ZHANG ; Huilin FENG ; Lian DUAN ; Lingchun WANG ; Hao DAI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(1):101-112
ObjectiveTo investigate the effects of Simiaowan on intestinal barrier function and adenosine triphosphate (ATP) binding cassette transporter G2 (ABCG2) expression in hyperuricemic (HUA) rats, and elucidate its therapeutic mechanisms. MethodsForty male Sprague Dawley (SD) rats were randomized into a normal group, a model group, low-dose (282.6 mg·kg-1) and high-dose (565.2 mg·kg-1) Simiaowan groups, and a Benzbromarone (4.7 mg·kg-1) group. The HUA model was established via intraperitoneal injection of potassium oxonate (ip) combined with oral gavage of hypoxanthine (ig) for 14 days. Following modeling, treatments were administered for 14 days. Samples were collected and weighed 4 h after final dosing. Blood uric acid and hepatic function were analyzed. Histopathological changes were evaluated by hematoxylin-eosin (HE) staining, and Chiu's scoring was conducted. Enzyme-linked immunosorbent assay (ELISA) quantified tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6), interleukin-1β (IL-1β), lipopolysaccharide (LPS), diamine oxidase (DAO), and D-lactic acid (D-LA) levels. Real-time polymerase chain reaction (Real-time PCR), Western blot, and immunohistochemistry assessed the expression of Claudin-1, Occludin, occludens-1 (ZO-1), and ABCG2 mRNAs and proteins. 16S rDNA amplicon sequencing characterized ileal microbiota. ResultsCompared with the normal group, the model group exhibited epithelial shedding in the ileal villus, structural disruption, infiltration of extensive inflammatory cells, and significantly elevated Chiu's scores (P<0.01). The DAO, TNF-α, IL-6, IL-1β, LPS, and D-LA levels in the ileum were markedly increased (P<0.01), while mRNA and protein expressions of Claudin 1, Occludin, ZO-1, and ABCG2, as well as positive staining area and proportion, were significantly reduced (P<0.01). Compared with the model group, the Simiaowan groups at all doses showed improved epithelial damage in the ileal villus, significantly lowered Chiu's scores (P<0.01), significantly reduced DAO, TNF-α, IL-6, IL-1β, LPS, and D-LA levels in the ileum (P<0.01), and upregulated mRNA and protein expressions of Claudin 1, Occludin, ZO-1, and ABCG2, as well as positive staining area and proportion (P<0.01). The 16S rDNA results showed that in the model group, the α-diversity index of the ileal microbiota was increased, and species diversity and richness were enhanced, with microbiota dysfunction observed. The community structure of the gut microbiota was significantly different from that of the normal microbiota. The abundance of probiotics was decreased, and the abundance of pathogenic bacteria was increased, with butyrate-producing bacteria showing a low abundance. In contrast, Simiaowan at all doses reduced species diversity and richness, regulated microbiota dysfunction, and promoted the shift of the structure of the gut microbiota community towards a normal one. This increased the abundance of beneficial bacteria, decreased the abundance of harmful bacteria, and restored the abundance of butyrate-producing bacteria. ConclusionSimiaowan enhances ileal uric acid excretion and further alleviates HUA by modulating the gut microbiota composition to improve the intestinal barrier and upregulate the expression of the urate transporter ABCG2 in HUA rats.
9.Necrotizing sialometaplasia of the palate: a case report and literature review
BU Xiangwen ; YE Chuanjin ; CHU Zhijuan ; DUAN Ning ; WANG Xiang ; WANG Wenmei ; PENG Qiao
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(3):273-280
Objective:
To enhance the recognition of necrotizing sialometaplasia (NS) by elucidating its clinical, pathological characteristics and key diagnostic points, providing a basis for the diagnosis and treatment of the disease.
Methods:
This study has been reviewed and approved by the Medical Ethics Committee, and informed consent has been obtained from patients. Review the data of a patient with NS occurring at the junction of the right soft and hard palate, and comprehensively analyze its diagnostic process based on its clinical manifestations, imaging, and histopathological examination results. And review the relevant literature on the disease.
Results:
This study describes a 24-year-old male patient with a documented betel nut habit (2 pieces/day for >6 months), who presented with a bone-deep, irregular crateriform ulcer (3 mm × 6 mm × 5 mm) localized to the right hard-soft palate junction. Spiral CT showed a local soft tissue defect with no apparent underlying bone destruction. Histopathology demonstrated chronic inflammation of the mucosal and minor salivary gland tissues, with no evidence of malignancy. A final diagnosis of NS was established. The ulcer healed completely three weeks after initiation of local anti-inflammatory therapy. A literature review indicates that NS is a rare, benign salivary gland disorder, typically occurring at the hard-soft palate junction in middle-aged men (40-60 years). Its etiology remains unclear, but it is widely attributed to salivary lobe infarction following mechanical trauma-induced ischemia. Due to its clinical resemblance to malignancy, it is often misdiagnosed. Treatment entails local anti-inflammatory measures and meticulous wound care aimed at promoting mucosal healing.
Conclusion
NS is a self-limiting, benign condition that poses a significant diagnostic challenge due to its close clinical simulation of malignancy. Thus, accurate diagnosis requires a combined assessment of clinical presentation, radiological features, and pathological findings. Treatment is predicated based on a conservative strategy with an emphasis on symptomatic management.
10.Correlation of daytime outdoor light exposure and moderate to vigorous physical activities with sleep quality among primary school students
WANG Ziyi, DUAN Zhihong, MAIHELIYAKEZI Tuersunniyazi, PENG Hui, ZHU Yanhong, SHI Huijing
Chinese Journal of School Health 2026;47(3):351-354
Objective:
To analyze the independent and interaction effects of daytime outdoor light exposure and moderate to vigorous physical activity (MVPA) duration on sleep quality of primary school students, so as to provide scientific evidence for interventions on children s sleep health.
Methods:
From April to June 2024, a total of 444 students from grades 3 and 4 in 2 primary schools in Jiading District, Shanghai were selected using stratified random cluster sampling method for continuous 7 day monitoring. Wearable devices "Clouclip" were used to monitor daytime outdoor activity time (represented by time with light intensity ≥ 1 000 lx ), and accelerometers were used to monitor MVPA time and sleep quality related indicators. Multiple linear regression was used to analyze the associations of daytime outdoor activity and MVPA with sleep quality.
Results:
Both daytime outdoor light exposure and MVPA duration(longer actual sleep duration per night,longer time in bed,fewer awakening and shorter post sleep awakening shic) were independently associated with multiple sleep indicators( β =0.52, 0.46, -0.83, -2.19, all P <0.05), with no significant interaction between the associations ( P >0.05). After controlling for MVPA, more daytime outdoor light exposure was significantly and independently associated with longer actual sleep time ( β =0.50, 95% CI =0.21-0.79, P <0.05). After controlling for light exposure, longer MVPA duration was independently associated with shorter post-sleep awakening duration ( β=-4.15, 95% CI = -6.33 to -1.96, P <0.05).
Conclusion
Increased daytime outdoor activity and MVPA are both associated with better sleep quality in primary school students.


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