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

Advancements in artificial intelligence (AI) and emerging technologies are rapidly expanding the exploration of chemical space, facilitating innovative drug discovery. However, the transformation of novel compounds into safe and effective drugs remains a lengthy, high-risk, and costly process. Comprehensive early-stage evaluation is essential for reducing costs and improving the success rate of drug development. Despite this need, no comprehensive tool currently supports systematic evaluation and efficient screening. Here, we present druglikeFilter, a deep learning-based framework designed to assess drug-likeness across four critical dimensions: 1) physicochemical rule evaluated by systematic determination, 2) toxicity alert investigated from multiple perspectives, 3) binding affinity measured by dual-path analysis, and 4) compound synthesizability assessed by retro-route prediction. By enabling automated, multidimensional filtering of compound libraries, druglikeFilter not only streamlines the drug development process but also plays a crucial role in advancing research efforts towards viable drug candidates, which can be freely accessed at https://idrblab.org/drugfilter/.

The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence ; Humans ; Delivery of Health Care ; Generative Artificial Intelligence

The regulation of rhizosphere bacterial community structure and metabolism by plants in municipal solid waste landfills is a key to enhancing the biodegradation of chlorobenzene (CB). In this study, we employed biodiversity and metabolomics methods to systematically analyze the mechanisms of different plant species in regulating the rhizosphere bacterial community structure and metabolic features and then improved the methane (CH₄) oxidation and CB degradation capacity. The results showed that the rhizosphere soil of Rumex acetosa exhibited the highest CH₄ oxidation and CB degradation capacity of 0.08 g/(kg·h) and 1.72×10^-6 g/(L·h), respectively, followed by the rhizosphere soil of Amaranthus spinosus L., with the rhizosphere soil of Broussonetia papyrifera showing the weakest activity. Rumex acetosa promoted the colonization of Methylocaldum in the rhizosphere, and the small-molecule organic amine, such as triethylamine and N-methyl-aniline, secreted from the roots of this plant enhanced the tricarboxylic acid cycle and nicotinamide metabolism, thereby increasing microbial activity and improving CH₄ and CB degradation efficiency. Conversely, cinnamic acid and its derivatives secreted by Broussonetia papyrifera acted as autotoxins, inhibiting microbial activity and exacerbating the negative effects of salt stress on key microbes such as methanotrophs. This study probed into the mechanisms of typical plants growing in landfill cover soil in regulating bacterial ecological functions, offering theoretical support and practical guidance for the plant-microbe joint control of landfill gas pollution.
Biodegradation, Environmental ; Rhizosphere ; Soil Microbiology ; Waste Disposal Facilities ; Chlorobenzenes/metabolism* ; Bacteria/metabolism* ; Soil Pollutants/metabolism* ; Methane/metabolism* ; Plant Roots/microbiology* ; Amaranthus/microbiology* ; Soil

Objective By analyzing the means of donor maintenance from the perspective of intensive care medicine,the difference of clinical indicators before and after donor treatment is obtained,summarizing the treatment experience and effect of clinical maintenance of donor donors,and providing more clinical evidence for the maintenance and treatment of organ donation donors.Methods A retrospective analysis was performed on 76 organ donors collected from the Department of Intensive Care Medicine,Army Medical Center,Chinese People's Liberation Army from January 2014 to December 2021,collected donor maintenance treatment,including mechanical ventilation,continuous renal replacement therapy(CRRT)treatment,enteral nutrition and parenteral nutrition,enteral and parenteral nutrition,plasma exchange,at the same time,the paired t test was used to compare the organ function before and after treatment.Results The lung,liver and kidney of 76 donors were evaluated before and after treatment to determine the number of eligible donors.The difference between the number of eligible donors of kidney and liver before and after treatment was statistically significant(P<0.05).There was no significant difference in lung evaluation(P>0.05).Conclusion Timely and effective organ support therapy for organ transplantation donors is beneficial to the recovery of organ function and improve the utilization rate of organ.

AIM:To observe the effect of curcumin on a C57BL/6J mouse liver cancer model induced by N-ni-trosodiethylamine(DEN)combined with carbon tetrachloride(CCl4),and to explore its mechanism.METHODS:Forty young male C57BL/6J mice were intraperitoneally injected with DEN(25 mg/kg)14 d after birth and randomly divided in-to the following 4 groups at the 4th week(10 in each group):model control group and curcumin(100,200 and 400 mg/kg)groups.Ten male mice of the same age were used as normal control group.The mice in model group and curcumin groups were gavaged with 10%CCl4(5 mL/kg)twice a week from the 8th week on.At the same time,the mice in curcumin groups were gavaged with curcumin,and the mice in normal control group were gavaged with the same volume of distilled water once a day for 14 weeks.After administration,the mice were sacrificed,the liver surface was observed,and the number of tumor nodules was compared.The activity of alanine aminotransferase(ALT)and aspartate aminotransferase(AST)in serum was detected by an automatic biochemical instrument.The pathological changes of liver tissues were ob-served by HE staining.The mRNA expression levels of heme oxygenase-1(HO-1)and NAD(P)H-quinone oxidoreductase 1(NQO1)were detected by RT-qPCR,and the protein expression levels of HO-1,NQO1 and Ki67 were detected by Western blot and immunohistochemistry.RESULTS:Compared with normal control group,the body weight of the mice in model group was decreased significantly(P＜0.01),the liver index was increased significantly(P＜0.01),and the se-rum levels of ALT and AST were increased obviously(P＜0.01).There was no significant difference in the mRNA expres-sion levels of HO-1 and NQO1(P＞0.05),the protein levels of HO-1 and NQO1 were increased distinctly(P＜0.05),and the positive expression rate of Ki67 was increased significantly(P＜0.05).After curcumin treatment,the body weight of the mice was significantly increased(P＜0.01),the liver index was not changed(P＞0.05),and the number of tumor nodules in the liver was decreased significantly(P＜0.05 or P＜0.01).The serum level of AST was decreased significantly(P＜0.01),the mRNA and protein expression levels of HO-1 and NQO1 were decreased significantly(P＜0.05),and the posi-tive expression rate of Ki67 was decreased significantly(P＜0.05).CONCLUSION:Curcumin significantly protects against liver cancer in a C57BL/6J mouse model induced by DEN combined with CCl4,and its mechanism may be related to the inhibition of HO-1 and NQO1 expression.

Objective:To analyze the risk factors affecting regional lymph node metastasis in salivary gland mucoepidermoid carcinoma (MEC) and to establish a nomogram model for individually predicting lymph node metastasis in salivary gland MEC.Methods:The clinical data of 2 152 patients with salivary gland MEC from 1975 to 2020 were collected from the Surveillance, Epidemiology, and End Results (SEER) database of the National Cancer Institute. The collected data were divided into training cohort (1 506 cases) and validation cohort (646 cases) according to the ratio of 7∶3. Single-factor regression and multi-factor logistic regression were used to screen factors related to local lymph node metastasis in salivary gland MEC, with constructing of a nomogram. Calibration curve, receiver operating characteristic (ROC) curve, area under the ROC curve (AUC) and decision curve analysis were used to evaluate model performance in the validation cohort and the total cohort. Statistical tests were performed using SPSS (26.0) and R (4.3.0) software.Results:Multivariate logistic regression results showed that M stage [ OR(95% CI):12.360(3.295-46.365), P=0.014], pathological grade Ⅱ、Ⅲ、Ⅳ[ OR(95% CI): 1.956(1.329-2.879), 9.654(6.309-14.772), 9.298(6.072-14.238), P<0.001], T staging T2, T3, T4[ OR(95% CI): 1.706(0.932-3.124), 3.021(1.790-5.096), 3.311(1.925-5.695), P<0.001], and gender [ OR(95% CI):0.759(0.593-0.972), P=0.029] were independent factors affecting local lymph node metastasis in salivary gland MEC. Through verification in the validation cohort and the total cohort, the AUC values were greater than 0.8, and the calibration curve was close to the perfect reference line, proving that the constructed nomogram model had good specificity and sensitivity for predicting local lymph node metastasis in salivary gland MEC. Conclusion:M stage, pathological grade, T stage, and gender are risk factors for predicting regional lymph node metastasis and the established-nomogram has good predictive performance for local lymph node metastasis in salivary gland MEC.

Objective:To elucidate the etiological and epidemiological characteristics and epidemiological patterns of viral acute respiratory infections (ARI) in Shanghai during 2023, with the aim of providing robust laboratory evidence for effective prevention and control strategies against related respiratory diseases and facilitating risk assessment.Methods:Respiratory pathogens were detected in the clinical surveillance specimens submitted by sentinel hospitals through multiplex PCR, as part of the multi-pathogen surveillance of acute respiratory infections in Shanghai during 2023. The obtained detection result were statistically analyzed in conjunction with sample information.Results:The positive detection rate of viral pathogens in 2023 was 21.17% (984/4 648), with rates of 33.53% (504/1 503) observed in ILI cases and 15.62% (480/3 145) in SARI cases. Influenza A virus (FluA) was the predominant virus detected, accounting for 13.7% (637/4 648). Other viruses identified in the surveillance samples included influenza B virus (Flu B), human rhinovirus/enterovirus (HRV/HEV), respiratory syncytial virus (RSV), human metapneumovirus (HMPV), parainfluenza virus (PIV), adenovirus (ADV) and human bocavirus (HBoV). Regarding temporal distribution, HRV/HEV and RSV exhibited the highest detection rates during the second quarter at 2.27% each (28/1 236). PIV had its peak during the third quarter at a rate of 2.49% (35/1 405), and HMPV showed prevalence mainly during the third and fourth quarters, with detection rates of 2.63% (37/1 405) and 2.35% (32/1 360), respectively.Conclusions:In acute respiratory infection surveillance cases in Shanghai in 2023, Flu A emerged as the predominant respiratory pathogen. The detection rate of HMPV ranked second only to Flu A, while other respiratory viruses such as HRV/HEV, RSV, and PIV were detected during different seasons and co-circulated. The prevalence of various respiratory viruses varied among different infected populations and over times.

AIM: To investigate the protective effect of Jianpi Bushen Yishi Formula on dry age-related macular degeneration(dARMD)induced by sodium iodate in mice and its mechanism.METHODS: A total of 27 SPF male C57BL/6 mice were randomly divided into blank, model and traditional Chinese medicine groups, with 9 in each group, the structure and morphology of the retina were observed by Hematoxylin-Ehong(HE)staining, and the intracellular reactive oxygen species(ROS)in the retina were observed by fluorescence staining with dihydroethidium(DHE). In addition, malondialdehyde(MDA)and superoxide dismutase(SOD)expression levels in mouse retina were detected by biochemical kit, and expression levels of silent information regulator type 1(SIRT1)and peroxisome proliferator-activated receptor-γ coactivator 1-α(PGC-1α)protein in mouse retina were detected by Western blot.RESULTS: Retinal structure and morphology of the model group showed a slight or mild decrease in the number of cells in the outer nuclear layer, a localized thinning of the outer nuclear layer, an inconspicuous demarcation between the outer and outer membranes, a slight or mild swelling of retinal pigment epithelial cells, and a slight or mild disturbance in the arrangement of retinal cells; while retinal pigment epithelial cells and photoreceptor layers in the traditional Chinese medicine group were significantly improved. DHE staining fluorescence results showed that the ROS level in the model group was significantly higher than that in the blank group at 14 d after modeling(P<0.01); the ROS level in the traditional Chinese medicine group was significantly lower than that in the model group(P<0.001). ELISA showed that the SOD level of the model group was significantly lower than that of the blank group at 14 d after modeling(P<0.01), and the MDA level was significantly increased(P<0.01)in the model group compared with the blank group; the SOD level was significantly higher(P<0.01), and the MDA level was significantly lower(P<0.01)in the traditional Chinese medicine group compared with the model group. Western blot results showed that the expression of SIRT1 and PGC-1α in the model group was significantly lower compared with that in the blank group(P<0.01), and the expression of SIRT1 and PGC-1α in the traditional Chinese medicine group was significantly higher compared with that in the model group at 7 and 14 d after modeling(P<0.01).CONCLUSION: The Chinese herbal medicine, which strengthens the spleen, tonifies the kidney and benefits the eyesight, can improve the oxidative stress state of the retina induced by sodium iodate in mice and reduce the damage to the retinal tissues, which may exert the anti-oxidative stress effect through the PGC-1α/SIRT1 signaling pathway.

Objective To observe the effects of Postmenstrual Proliferative Prescription(mainly composed of Codonopsis Radix,Atractylodis Macrocephalae Rhizoma,Poria,Rehmanniae Radix Praeparata,Paeoniae Radix Alba,Angelicae Sinensis Radix,Chuanxiong Rhizoma,Cervi Cornu Degelatinatum,Corni Fructus,Cuscutae Semen,and Eucommiae Cortex)through replenishing qi and blood on the ovulation rate and pregnancy rate in patients with ovulatory dysfunction infertility caused by polycystic ovarian syndrome(PCOS)during ovulation-induction treatment,and to explore the therapeutic effects and possible therapeutic mechanism.Methods Sixty patients with ovulatory dysfunction infertility due to PCOS were randomly divided into a treatment group and a control group,with 30 patients in each group.The control group was given Clomifene Citrate Capsules to promote ovulation,and the treatment group was given Postmenstrual Proliferative Prescription on the basis of the ovulation-induction program of the control group starting from the fifth day of menstruation or progesterone withdrawal bleeding.The two groups were treated for one menstrual cycle as a course of treatment.The changes in the serum sex hormones of estradiol(E2),follicle-stimulating hormone(FSH),luteinizing hormone(LH),and progesterone(P)on the 2nd to 5th day of menstruation,as well as the changes in serum growth differentiation factor 9(GDF9)and bone morphogenetic protein 15(BMP15)levels on the 2nd to 5th day of menstruation and on the day of human chorionic gonadotropin(HCG)injection were observed in the two groups.Moreover,the ovulation rate,pregnancy rate and clinical efficacy of the patients in the two groups were analyzed.Results(1)No statistically significant differences in serum levels of sex hormones E2,FSH,LH and P on the 2nd to 5th day of menstruation were shown between the two groups of patients(P＞0.05).(2)On the 2nd to 5th day of menstruation and on the day of HCG injection,there were no significant differences in the serum GDF9 and BMP15 levels between the two groups(P＞0.05).(3)The ovulation rate and pregnancy rate in the treatment group were 93.33%(28/30)and 26.67%(8/30)respectively,which were significantly higher than 70.00%(21/30)and 13.33%(4/30)in the control group.And the differences tested by chi-square test were statistically significant between the two groups(P＜0.05).(4)The total effective rate of the treatment group was 93.33%(28/30),and that of the control group was 70.00%(21/30).The intergroup comparison(tested by rank sum test)showed that the therapeutic efficacy of the treatment group was significantly superior to that of the control group,and the difference was statistically significant(P＜0.05).Conclusion Postmenstrual Proliferative Prescription through replenishing qi and blood can improve the ovulation rate and pregnancy rate during ovulation-induction treatment in the patients with ovulatory dysfunction infertility due to PCOS.It is indicated that Postmenstrual Proliferative Prescription can enhance the quality of the oocytes and the potential of embryo implantation during the ovulation-induction treatment.