In view of the few studies on the influence of Armillaria spp. infection on the content of the chemical components in different parts of Polyporus umbellatus sclerotia, this study determined the biomass of P. umbellatus sclerotia and the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in the separated cavity wall of the sclerotia and the uninfected part of the sclerotia in different harvesting years under the conditions of A. gallica and A. mellea infection respectively. According to the difference of content and dynamic changes of the polysaccharide and the steroid substances, the superior Armillaria sp. was screened to obtain the best harvest years of P. umbellatus. Using HPLC and UV-VIS spectrophotometry methods, the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in P. umbellatus sclerotia infected by the two Armillaria spp. in different years were determined. In addition, the differentially expressed genes related to P. umbellatus polysaccharide synthesis were screened according to the transcriptomic data of different parts of P. umbellatus after A. mellea infection. With the increase of years, the biomass of sclerotia infected by different Armillaria spp. had significant differences, and there were significant differences in the four components of sclerotia. The four components of the separated cavity wall of the sclerotia were significantly higher than those of the uninfected part. The best harvest time was the third year after cultivation. Transcriptomic analysis showed that the infection of Armillaria spp. could significantly promote polysaccharide synthesis, which provided a basis for polysaccharide content determination at the molecular level. The study clarified the influence of different Armillaria spp. infection on the accumulation of chemical components of P. umbellatus sclerotia, laying a foundation for exploring the symbiosis mechanism and provided a scientific clue for screening superior Armillaria sp. and guiding the artificial cultivation of P. umbellatus sclerotia.

Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

A target screening methodology was developed for detection of 63 kinds of chemical hazards substances,including 17 kinds of flame retardants,14 kinds of perfluorinated compounds,15 kinds of phthalate esters,5 kinds of fluorescent whitening agents and 12 kinds of ultraviolet absorbers,in various types of face masks using ultra high performance liquid chromatography-quadrupole-orbitrap high-resolution mass spectrometry based on an in-house database and mass spectral library.And the quantification was achieved using the external standard method.The results showed that the linear correlation coefficient(r)of all compounds was greater than 0.99,the limits of detection(LODs)ranged from 3.3 to 26.7 μg/kg(S/N=3),the limits of quantification(LOQs)ranged from 10.0 to 80.0 μg/kg(S/N=10),the average recoveries(n=6)were 72.3%-102.6%,and the relative standard deviations(RSDs)were 0.8%-9.9%.The validation of the screening results from both the database and mass spectral library was conducted,and benzophenone and dibutyl phthalate were detected from three positive samples.The human health exposure assessment of the inhalation exposure doses based on the relevant exposure models showed that the contents of benzophenone and dibutyl phthalate were within the recommended reference doses.The method represented a valuable technical reference for ensuring the quality and safety of face mask products and protecting consumer health.

Most chemical medicines have polymorphs. The difference of medicine polymorphs in physicochemical properties directly affects the stability, efficacy, and safety of solid medicine products. Polymorphs is incomparably important to pharmaceutical chemistry, manufacturing, and control. Meantime polymorphs is a key factor for the quality of high-end drug and formulations. Polymorph prediction technology can effectively guide screening of trial experiments, and reduce the risk of missing stable crystal form in the traditional experiment. Polymorph prediction technology was firstly based on theoretical calculations such as quantum mechanics and computational chemistry, and then was developed by the key technology of machine learning using the artificial intelligence. Nowadays, the popular trend is to combine the advantages of theoretical calculation and machine learning to jointly predict crystal structure. Recently, predicting medicine polymorphs has still been a challenging problem. It is expected to learn from and integrate existing technologies to predict medicine polymorphs more accurately and efficiently.

Objective:To investigate the prevalence of frailty among elders aged ≥60 years in the Beijing community and analyze the risk factors of frailty.Methods:This is a cross-sectional study. A total of 1936 older persons in Baizhifang Community in Beijing were included between May and September 2023. Their frailty was evaluated by Fried Frailty Phenotype Scale. Mini Nutritional Assessment-Short Form (MNA-SF), Short Physical Performance Battery (SPPB), and Geriatric Depression Scale (GDS) were used to evaluate nutritional status, physical function, and depression, respectively. The prevalence and risk factors of frailty among the elderly in the community were analyzed.Results:A total of 168 individuals met the criteria for frailty, and the prevalence of frailty was 8.7%. Compared to the non-frail group, the frail group was predominantly female (71.4% vs 62.2%; χ 2=5.59, P=0.018), older [(72.1±6.6) vs (69.9±6.0) ages; t=-5.25, P<0.001], unmarried (1.8% vs 0.8%; χ 2=8.60, P=0.014), with lower education levels (10.7% vs 3.5%; χ 2=23.38, P<0.001), poorer self-assessed health (22.6% vs 6.5%; χ 2=69.80, P<0.001), lower MNA-SF scores [(12.2±2.2) vs (13.0±1.4) scores; t=6.29, P<0.001], lower SPPB scores [(8.4±1.9) vs (10.2±1.6) scores; t=14.62, P<0.001], higher GDS scores [(4.0±3.8) vs (1.9±2.1) scores; t=-11.48, P<0.001], and worse vision, hearing, and olfactory functions (48.2% vs 34.1%, 36.9% vs 23.0%, 9.5% vs 3.0%; χ 2=13.37, 16.11, 40.58, all P<0.001). They were also more likely to suffer from hypertension (70.8% vs 56.7%; χ 2=12.52, P<0.001), diabetes (42.3% vs 29.4%; χ 2=12.06, P<0.001), osteoarthritis (46.4% vs 30.3%; χ 2=18.39, P<0.001) and stroke (19.0% vs 13.3%; χ 2=4.28, P=0.039). Logistic regression analysis showed that frailty was independently associated with nutritional status ( OR=0.8, 95% CI: 0.7-0.9, P<0.001), depressive symptoms ( OR=1.1, 95% CI: 1.1-1.2, P<0.001), olfactory function ( OR=2.1, 95% CI: 1.4-3.0, P<0.001; OR=2.9, 95% CI: 1.4-5.9, P=0.003), and physical function ( OR=0.6, 95% CI: 0.6-0.7, P<0.001) after adjusting for covariates. Conclusions:The prevalence of frailty among elderly people in community is relatively high. Frailty in community elders is associated with physical function, psychological function, nutritional status, and olfactory function decline.

Objective:To analyze mobility limitation condition and its relationship with cognitive function in community-dwelling elderly.Methods:In this cross-sectional study, a total of 1 935 older adults aged≥60 years were recruited from May to September 2023 in Beijing Baizhifang Community Health Service Center and its five subordinate health service stations (Baizhifang Hutong health service station, Nancaiyuan community health service station, Youanmen community health service station, Younei West Street health service station and Shuanghuaili community health service station). The Short Physical Performance Battery (SPPB) was used to assess the mobility capacity of the elderly, and the elderly were divided into two groups with SPPB, the elderly with a SPPB≤9 points were grouped into mobility limitation group (645 cases), and the ones with a SPPB≥10 points were considered with normal mobility capacity (1 290 cases). The cognitive function of the older adults was assessed with the mini-mental state examination; and the gender, age, calf circumference, history of chronic disease, frailty status, cognitive function, nutritional status, depression status, hearing and vision condition of the two groups were compared with χ2 test or Mann-Whitney U non-parametric test. Multiple logistic regression analysis was used to analyze the mobility limitation and its relationship with cognitive function in the older adults. Results:Mobility limitation was found in 33.33% (645/1 935) of community-dwelling older adults. The proportions of advanced age, female, hypertension, diabetes, coronary heart disease, stroke, chronic obstructive pulmonary disease, frailty, depression, cognitive impairment, hearing decline, and vision decline in the mobility limitation group were all significantly higher than those in the normal mobility capacity group (31.32% vs 13.41%, 69.92% vs 59.61%, 65.27% vs 54.03%, 33.80% vs 28.60%, 27.91% vs 19.53%, 17.83% vs 11.47%, 10.54% vs 7.36%, 13.18% vs 2.02%, 18.45% vs 6.59%, 14.73% vs 7.75%, 30.54% vs 20.31%, 45.58% vs 30.39%) (all P<0.05). Advanced age ( OR=2.542, 95% CI: 1.977-3.269), female ( OR=1.736, 95% CI: 1.390-2.167), stroke ( OR=1.426, 95% CI: 1.065-1.911), depression ( OR=2.292, 95% CI: 1.656-3.174), cognitive impairment ( OR=1.601, 95% CI: 1.154-2.220), frailty ( OR=5.199, 95% CI: 3.219-8.397) and vision decline ( OR=1.405, 95% CI: 1.124-1.756) were all positively correlated with the mobility limitation in the community-dwelling older adults (all P<0.05). Conclusion:The older adults in the community have a higher risk of mobility limitation, mobility limitation is a positive correlation factor of cognitive impairment.

Objective To explore feasibility of 3D metal printing technology combined with virtual design proximal clavicle anatomical plate.Methods A 52-year-old male healthy volunteer was retrospectively selected to design proximal clavicle anatomical plate system by using Mimics15.01,NX12.0 and other software.STL data were input into 3D printer to print 1∶1 clavicle model and proximal clavicle anatomical plate.The fit of the plate was tested in vitro and the accuracy of screw position was evaluated by imaging.Printing time of model,nail path design and fabrication time of the anatomical plate at proximal clavicle were recorded.Results The 3D metal printing proximal clavicle anatomical plate fitted well to clavicle model,orienta-tion of proximal clavicle locking screw was accurate,and X-ray and CT scan showed the screw position was good.Printing time of model,the time of nail path design,and the time of making anatomical plate of proximal clavicle were 120,15 and 300 min respectively.Conclusion The proximal clavicular anatomical plate system based on 3D metal printing technology could achieve good lamination of proximal clavicular fracture plate and precise screw placement,providing a new and accurate surgical method for the treatment of the proximal clavicular fracture.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*