[摘 要] 目的：明确线粒体DNA（mtDNA）部分缺失对结肠上皮细胞NCM460的影响。方法：通过溴化乙锭（EB）诱导建立mtDNA部分缺失细胞模型（mtDNA-reduced）及恢复模型（reverted），采用CCK-8、活性氧（ROS）及线粒体膜电位检测评估线粒体功能，通过葡萄糖、乳酸及糖酵解关键酶活性检测评估代谢表型，通过Transwell实验及WB法检测细胞侵袭及上皮-间质转化（EMT），通过polyHEMA包被培养检测失巢凋亡抵抗能力；检测PI3K/Akt/mTOR信号通路及程序性死亡配体1（PD-L1）表达，并通过PI3K抑制剂LY294002验证。结果：GEPIA数据库分析显示mtDNA编码基因在结直肠癌中低表达（P < 0.05）；组织芯片显示COX1蛋白在正常结肠组织高表达，在癌组织中低表达（P < 0.05）。mtDNA-reduced NCM460细胞线粒体功能受损（生长速率下降、ROS生成减少、线粒体膜电位降低，P < 0.05），呈现Warburg效应（葡萄糖摄取增加、乳酸分泌增多、糖酵解关键酶活性增强，P < 0.05），侵袭能力增强（P < 0.05）且发生EMT，并抵抗失巢凋亡（P < 0.05）。该细胞PI3K/Akt/mTOR通路激活且PD-L1表达上调；经LY294002处理后，葡萄糖含量有降低趋势（P > 0.05）、细胞活性下降（P < 0.05），PD-L1表达下调（P < 0.05）。结论：结肠上皮细胞NCM460中mtDNA部分缺失可诱导其恶性转化及免疫逃逸。

Natural product-based drug combinations (NPDCs) present distinctive advantages in treating complex diseases. While high-throughput screening (HTS) and conventional computational methods have partially accelerated synergistic drug combination discovery, their applications remain constrained by experimental data fragmentation, high costs, and extensive combinatorial space. Recent developments in artificial intelligence (AI), encompassing traditional machine learning and deep learning algorithms, have been extensively applied in NPDC identification. Through the integration of multi-source heterogeneous data and autonomous feature extraction, prediction accuracy has markedly improved, offering a robust technical approach for novel NPDC discovery. This review comprehensively examines recent advances in AI-driven NPDC prediction, presents relevant data resources and algorithmic frameworks, and evaluates current limitations and future prospects. AI methodologies are anticipated to substantially expedite NPDC discovery and inform experimental validation.
Artificial Intelligence ; Biological Products/chemistry* ; Humans ; Drug Combinations ; Drug Discovery/methods* ; Machine Learning ; Algorithms

Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans ; Consensus ; Dental Implants ; Mouth Mucosa/surgery* ; Keratins

OBJECTIVE To explore the effect of oral cleaning with traditional Chinese medicine preparations on de-colonization of oropharyngeal bacteria and hospital-acquired pneumonia(HAP)in elderly patients undergoing non-inva-sive mechanical ventilation.METHODS A total of 520 elderly patients who were treated with non-invasive mechani-cal ventilation in Enze Hospital of Enze Medical Center(Group)from Jan.2022 to Dec.2024 were recruited as the research subjects and were randomly divided into the normal saline group and the traditional Chinese medicine(TCM)preparation group,with 260 cases in each group.The two groups were respectively treated with normal saline and TCM preparations for oral cleaning,twice a day in the morning and evening.The dental plaque index score,isolation rate of oropharyngeal pathogens,incidence of HAP and isolation rates of pathogens causing HAP were observed and compared between the two groups.RESULTS There were no significant differences in the dental plaque index score and the isolation rate of oropharyngeal pathogens between the two groups of patients before the first cleaning.However,the dental plaque index score and the isolation rate of oropharyngeal pathogens were low-er in the TCM preparation group than in the normal saline group after the first cleaning and the continuous clean-ing for 5 days(P＜0.05).The incidence of HAP of the TCM preparation group(3.63％)was lower than that of the normal saline group(8.91％)(x2=5.872,P=0.015).The isolation rate of gram-negative bacteria from lower respiratory tract secretions of the patients with HAP was lower in the TCM preparation group than in the normal saline group(P＜0.05);there were no significant differences in the isolation rates of gram-positive bacteria and fungi between the two groups.CONCLUSION As compared with the normal saline for routine oral cleaning of the elderly patients undergoing non-invasive mechanical ventilation,the TCM preparations may facilitate the decoloni-zation of oropharyngeal bacteria and remarkably reduce the incidence of HAP,which may provide a new idea for decolonization of oropharyngeal bacteria and reduction of incidence of HAP.

Objective:To construct a predictive model for mortality in patients with multiple trauma combined with thoracic injuries and evaluate its predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 184 patients with multiple trauma combined with thoracic injuries admitted to the International Zhuang Medicine Hospital Affiliated to Guangxi University of Chinese Medicine from April 2019 to December 2023, including 129 males and 55 females, aged 19-85 years [(46.1±13.7)years]. According to the prognostic outcomes at 3-month follow-up after discharge, the patients were divided into survival group ( n=145) and death group ( n=39). Data were recorded in both groups at admission, including gender, age, and cause of injury, laboratory tests such as systolic blood pressure, oxygen saturation (SaO 2), hemoglobin (Hb), neutrophil-to-lymphocyte ratio (NLR), and lactate, combined injuries such as the number of combined injuries, number of rib fracture, bilateral rib fracture, first-rib fracture, sternum fracture, thoracic vertebral fracture, bilateral pulmonary contusion, bilateral pneumothorax, subarachnoid hemorrhage, subdural hematoma, epidural hematoma, skull fracture, skull base fracture, cervical vertebral fracture, brain herniation, cerebral contusion, lumbar vertebral fracture, pelvic and abdominal cavity hematoma, liver injury, kidney injury, spleen injury, clavicle fracture, scapular fracture, femoral fracture, and pelvic fracture, and injury scores such as shock index (SI), modified shock index (MSI), injury severity score (ISS), revised trauma score (RTS), Glasgow coma score (GCS), and thoracic trauma severity (TTS) score. Univariate binary logistic regression analysis was used to screen for risk factors of death in patients with multiple trauma combined with thoracic injuries. LASSO regression and multivariate logistic regression analysis were employed to identify predictive variables and independent risk factors for mortality in those patients and to construct a regression equation. A nomogram prediction model based on the regression equation was developed using R language. Receiver operating characteristic (ROC) curves were plotted to evaluate the discrimination of the model. The ROC curves were internally validated using the Bootstrap method with 1 000 resamples. The calibration of the model was assessed using the Hosmer-Lemeshow (H-L) goodness-of-fit test. The clinical application value of the model was evaluated using decision curve analysis (DCA) and clinical impact curve (CIC) analysis. Results:There were statistically significant differences between the survival group and the death group in systolic blood pressure, SaO 2, NLR, lactate, number of combined injuries, subarachnoid hemorrhage, subdural hematoma, skull fracture, skull base fracture, brain herniation, liver injury, SI, MSI, ISS, RTS, GCS, and TTS ( P<0.05 or 0.01). The results of the univariate binary logistic regression analysis showed that the above-mentioned related variables except for systolic blood pressure were all significantly associated with death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Five predictive variables, TTS, GCS, brain herniation, ISS, and lactate were obtained in LASSO regression analysis. The results of the multivariate logistic regression analysis showed that GCS ( OR=0.70, 95% CI 0.58, 0.83), brain herniation ( OR=46.18, 95% CI 4.27, 499.26), TTS ( OR=1.71, 95% CI 1.30, 2.24), and lactate ( OR=1.35, 95% CI 1.01, 1.80) were independent risk factors for death in patients with multiple trauma combined with thoracic injuries ( P<0.05 or 0.01). Based on the aforementioned independent risk factors, a regression formula was constructed as follows: P=e x/(1+e x), with the x=-0.36×"GCS"+3.83×"brain herniation"+0.53×"TTS"+0.30×"lactate levels"-11.03. The area under the ROC curve (AUC) of the predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on the equation was 0.97 (95% CI 0.93, 1.00). The AUC was internally validated using the Bootstrap method with 1 000 samples, resulting in an AUC of 0.97 (95% CI 0.91, 1.00). The results of the H-L goodness-of-fit test showed that the bias-corrected calibration curve of the model was in good consistence with the actual curve and both of them were close to the ideal curve. In the evaluation of the clinical application value of the predictive model, the DCA results showed that the predictive model could achieve good clinical net benefit. The CIC results showed that when the threshold probability was greater than 0.7, the model-identified high-risk patients for death highly matched the patients who actually died. Conclusion:The predictive model for mortality in patients with multiple trauma combined with thoracic injuries based on GCS, brain herniation, TTS, and lactate has good predictive performance and clinical application value.

Objective:To formulate the Guidelines for the Construction of Community Health Service Centers in Pudong New Area, Shanghai. Methods:This was a qualitative study. This study was divided into 2 stages. The first stage of the study was conducted from June to August 2023 and involved the heads of the General Affairs Departments of the 47 community health service centers in Pudong New Area. These individuals completed online questionnaires to compile a database on the current status of matching supply and demand resources in community health service centers in Pudong New Area. The second stage of the study run from September 2023 to August 2024. Firstly, the functional modules of China′s community health service centers would be clarified through a literature review. The construction scale and design requirements of similar institutions at home and abroad would be benchmarked, as well as practical experience. The results of Phase 1 research would then be combined to form the " Community Health Service Center Infrastructure Configuration Requirements and Design Suggestions (Draft)". Then, relevant experts were brought together to discuss the draft and form the " Community Health Service Center Infrastructure Configuration Requirements and Design Recommendations (Revised Version)". The experts involved in the discussion specialized in the study of infrastructure resource allocation for medical institutions. Finally, the medical and healthcare system managers, community health service center users, and relevant commissions and bureaus of Pudong New Area were consulted to further revise and finalize the Guidelines for the Construction of Community Health Service Centers in Pudong New Area, Shanghai. Results:The total floor area of community health service centers in Pudong New Area was 57% (31/55), the number of beds per 1 000 people was 14% (8/55), and the total number of beds was 10% (6/60). These figures showed that urgent upgrades and construction in accordance with the new standards were required. The final " Guidelines for the Construction of Community Health Service Centers" of Shanghai Pudong New Area comprised 15 chapters, covering topics from the macro construction scale, site selection and general plan to architectural design, structural design, water supply and sewage treatment, ventilation and air conditioning, electrical systems, informatics, medical gas supply, indoor design, signage, marking and fire protection, etc. The guidelines have been revised to incorporate the functional design of the 5 basic rooms, with a particular focus on the creating humanistic spaces and promoting digitalization. Particular attention was paid to creating humanistic spaces and improving ageing with digital applications. Conclusions:The Guidelines for the Construction of Community Health Service Centers in Pudong New Area of Shanghai have been successfully formulated. These guidelines can be used to guide the subsequent high-quality and standardized development of community health service centers.

Epidural spinal cord stimulation (eSCS) represents an emerging neuromodulation technology that ameliorates motor dysfunction in patients with spinal cord injury, Parkinson's disease, and stroke by activating sensory afferent fibers, enhancing spinal cord neural network integration, optimizing brain-spinal cord information transmission, and inducing neural plasticity. This article reviews the mechanism, electrode implantation, and stimulation parameter of eSCS, and application of eSCS in spinal cord injury, Parkinson's disease, and stroke, aiming to provide valuable insight for its clinical implementation.

Objective: To improve the efficiency and standardization of preoperative anemia diagnosis and treatment by establishing a systematic intelligent management platform for preoperative anemia. Methods: A multidisciplinary collaborative model was adopted to develop a preoperative anemia management system that integrates intelligent early warning, standardized treatment pathways, and quality control. The system utilizes natural language processing technology to automatically capture laboratory data and establish evidence-based medical decision support functions. A pre-post study design was employed to compare changes in preoperative anemia screening rates, preoperative anemia intervention rates, reasonable use of iron supplements, and perioperative red blood cell transfusion rates before and after system implementation. Results: After system implementation, the standardization of anemia diagnosis and treatment significantly improved: 1) Screening effectiveness: The anemia screening rate increased to 50.00% (an increase of 27.24%); 2) Intervention effectiveness: The anemia treatment rate rose to 56.30% (an increase of 14.02%); 3) Treatment standardization: The reasonable use rate of iron supplements increased to 55.33% (an increase of 21.02%); the red blood cell transfusion rate decreased to 18.29% (a decrease of 4.07%), and the amount of red blood cell transfusions was reduced by 291 units. Conclusion: This system achieves full-process management of preoperative anemia through information technology, significantly enhancing the standardization of diagnosis and treatment as well as intervention effectiveness, providing an effective solution for perioperative anemia management.

By systematically combing ancient and modern literature， this paper examined Tribuli Fructus and Astragali Complanati Semen（ACS） used in the famous classical formulas from the aspects of name， origin， production area， harvesting and processing， clinical efficacy， so as to provide a basis for the development of famous classical formulas containing such medicinal materials. The results showed that the names of Tribuli Fructus in the past dynasties were mostly derived from its morphology， and there were nicknames such as Baijili， Cijili and Dujili. The name of ACS in the past dynasties were mostly originated from its production areas， and there were nicknames such as Baijili， Shayuan Jili and Tongjili. Because both of them had the name of Baijili， confusion began to appear in the Song dynasty. In ancient and modern times， the main origin of Tribuli Fructus were Tribulus terrestris， and ancient literature recorded the genuine producing areas of Tribuli Fructus was Dali in Shaanxi and Tianshui in Gansu， but today it is mainly cultivated in Anhui and Shandong. The fruit is the medicinal part， harvested in autumn throughout history. There is no description of the quality of Tribuli Fructus in ancient times， and the plump， firm texture， grayish-white color is the best in modern times. Traditional processing methods for Tribuli Fructus included stir-frying and wine processing， while modern commonly used is purified， fried and salt-processed. The ancient records of Tribuli Fructus were spicy， bitter， and warm in nature， with modern research adding that it is slightly toxic. The main effects of ancient and modern times include treating wind disorders， improving vision， promoting muscle growth， and treating vitiligo. The mainstream base of ACS used throughout history is Astragalus complanatus. Ancient texts indicated ACS primarily originated from Shaanxi province. Today， the finest varieties come from Tongguan and Dali in Shaanxi. The medicinal part is the seed， traditionally harvested in autumn. Modern harvesting occurs in late autumn or early winter， followed by sun-drying. Ancient texts valued seeds with a fragrant aroma as superior， while modern standards prioritize plump， uniform and free of impurities. Traditional processing methods for ACS included frying until blackened and wine-frying， while modern practice commonly employs purification methods. In terms of medicinal properties， the ancient and modern records are sweet and warm in nature. Due to originally classified under Tribuli Fructus， its effects were thus regarded as equivalent to those of Tribuli Fructus， serving as the medicine for treating wind disorders， additional functions included tonifying the kidneys and treating vitiligo. The present record of its efficacy is to tonify the kidney and promote Yang， solidify sperm and reduce urine， nourish the liver and brighten the eye， etc. Based on the textual research results， it is suggested that when developing the famous classical formulas of Tribuli Fructus medicinal materials， we should pay attention to the specific reference object of Baijili， T. terrestris and A. complanatus should be identified and selected， and the processing method should be in accordance with the requirements of the formulas.

Increasing evidence showed that histone deacetylase 6(HDAC6)dysfunction is directly associated with the onset and progression of various diseases,especially cancers,making the development of HDAC6-targeted anti-tumor agents a research hotspot.In this study,artificial intelligence(AI)technology and molecular simulation strategies were fully integrated to construct an efficient and precise drug screening pipeline,which combined Voting strategy based on compound-protein interaction(CPI)prediction models,cascade molecular docking,and molecular dynamic(MD)simulations.The biological potential of the screened compounds was further evaluated through enzymatic and cellular activity assays.Among the identified compounds,Cmpd.18 exhibited more potent HDAC6 enzyme inhibitory activity(IC50=5.41 nM)than that of tubastatin A(TubA)(IC50=15.11 nM),along with a favorable subtype selectivity profile(selectivity index ≈ 117.23 for HDAC1),which was further verified by the Western blot analysis.Additionally,Cmpd.18 induced G2/M phase arrest and promoted apoptosis in HCT-116 cells,exerting desirable antiproliferative activity(IC50=2.59 μM).Furthermore,based on long-term MD simulation trajectory,the key residues facilitating Cmpd.18's binding were identified by decomposition free energy analysis,thereby elucidating its binding mechanism.Moreover,the representative conformation analysis also indicated that Cmpd.18 could stably bind to the active pocket in an effective conformation,thus demonstrating the potential for in-depth research of the 2-(2-phenoxyethyl)pyridazin-3(2H)-one scaffold.