Purpose/Significance By summarizing the construction experience of the immunology database and analysis portal(ImmPort),the study aims to provide insights and references for the development of a large-scale immunology database in China.Method/Process It comprehensively analyzes the architecture of ImmPort and the functionalities of its various modules,and delineates the data flow for data collection,organization,sharing,and analysis within the database.Finally,it summarizes the practical achieve-ments of the ImmPort platform.Result/Conclusion In the process of constructing the immunology database,our country should prioritize the standardization of data organization and modeling.Standardized terminology should be actively adopted to provide semantic support,and data sharing should be carried out in the management of classification and grading,while developing a supporting tool system to en-sure the safe and effective sharing and utilization of immunology data.

Objective:Elderly patients with sarcopenia and cognitive impairment are prone to experiencing more severe adverse events.This study aimed to analyze body composition and gait characteristics in this population, as well as to identify sensitive gait indicators of sarcopenia in individuals with cognitive impairment.Methods:A total of 200 elderly individuals from 3 different nursing homes in Suzhou were recruited for this study.The participants' overall cognitive function was assessed using the Beijing version of the Montreal Cognitive Assessment(MoCA-BJ), body composition was evaluated through bioelectrical impedance analysis, and gait was assessed using a wearable gait analysis system.Gait predictors of sarcopenia with cognitive impairment were then identified and used to construct predictive models.Results:The study encompassed 83 participants, divided into three groups: 35 in the control group(cognitively normal, without sarcopenia), 24 in the sarcopenia with mild cognitive impairment(MCI)group, and 24 in the sarcopenia with dementia group.When compared to the control group, individuals in the sarcopenia with MCI group exhibited lower Skeletal Muscle Mass Index[(5.6±0.8)kg/m 2vs.(7.4±0.8)kg/m 2], Total Protein[(6.7±1.1)kg vs.(8.9±1.5)kg], and Arm Muscle Circumference[(21.4±1.7)cm vs.(24.1±2.3)cm](all P<0.05).Similarly, in comparison to the control group, those in the sarcopenia with dementia group displayed a shorter stride length[(0.45±0.17)m vs.(0.65±0.22)m], slower gait speed[(0.38±0.13)m/s vs.(0.55±0.18)m/s], smaller turn velocity[(89.8±23.4)degrees/s vs.(116.8±26.3)degrees/s], and longer turn duration[(3.2±0.5)s vs.(2.8±0.3)s](all P<0.05).Notably, turn duration was identified as having predictive value for sarcopenia with MCI[Area under the curve(AUC)=0.673, sensitivity 70.8%, specificity 68.6%], while a model incorporating age and turn velocity demonstrated strong predictive power for sarcopenia with dementia(AUC=0.87, sensitivity 83.3%, specificity 85.7%). Conclusions:Compared to the control group, the group with both sarcopenia and cognitive impairment exhibited lower levels of muscle strength, nutritional status, and gait performance.This study also introduced the concept that gait indicators associated with turns could be a significant predictor of sarcopenia in individuals with cognitive impairment.Furthermore, the use of wearable devices for gait assessment may offer a novel approach to identifying these at-risk individuals.

Objective:To explore the medication regularity of Traditional Chinese Medicine (TCM) for diabetic lower extremity arterial disease (DLEAD) based on data mining.Methods:Search for the clinical literature of treating DLEAD in recent 20 years from China Academic Journal Database (Wanfang Data), China National Knowledge Resources Database (CNKI), China Biomedical Literature Service System (SinoMed) and Chinese Science and Technology Journal Database (Chongqing VIP) dated. The frequency analysis, cluster analysis and association analysis for TCM were carried out respectively through Excel 2019, SPSS 25 and SPSS Modeler 18.Results:There are altogher 175 papers mentioning 201 prescriptions and 186 herbs, among which the top 5 herbs that are used frequently are Astragali Radix, Angelicae Sinensis Radix, Chuanxiong Rhizoma, Achyranthis Bidentatae Radix, Carthami Flos. The taste are mainly sweet and the nature is warm, with liver meridian as the most important maridian. The herbs for activating blood circulation and removing blood stasis are frequently used, followed by Qi tonic and blood tonic herbs. Association Rule Analysis suggested that Astragali Radix, Angelicae Sinensis Radix, Chuanxiong Rhizoma are the herbs that are frequently combined together. Conclusions:The medication for treating DLEAD mainly focuses on promoting blood circulation and removing blood stasis and tonifing Qi and blood. At the same time, the treatment should focus on dispelling wind and dispersing cold, warming yang and unblocking collaterals, resolving phlegm and removing dampness, nourishing yin and clearing heat based on different syndromes. Astragali Radix, Angelicae Sinensis Radix, Chuanxiong Rhizoma were the core herbs. It can be combined with Achyranthis Bidentatae Radix, Pheretma, Paeoniae Radix Rubra, Salviae miltiorrhizae Radix et Rhizoma, Peach Kernel, Carthami Flos to improve the curative effect.