OBJECTIVE To provide reference for optimizing or formulating unified evaluation methods for evidence and recommendation in expert consensus on off-label use of drugs. METHODS Retrieved from CNKI， Wanfang data， VIP， CBM， PubMed and Web of Science， Chinese expert consensuses on off-label use of drugs involving evaluation methods for evidence and recommendations were collected from the inception to August 1， 2024. After screening the literature and extracting relevant data， descriptive statistical analysis was conducted. RESULTS & CONCLUSIONS Among the 32 articles included， 14 articles （43.8%） used Micromedex’s Thomson grading system， only 7 articles （21.9%） considered economic factors when forming recommendations， 10 articles （31.3%） reported the conflicts of interest； only 2 articles （6.3%） involved experts in the field of evidence-based medicine methodology. There were differences in the sources of evidence， factors considered in forming recommendations， and the grading standards for evidence and recommendations among different expert consensus evidence evaluation methods. There were also differences in evidence levels and recommendation strength of the same drug off-label use in different expert consensus. It is recommended that in future consensus-building processes， greater attention should be paid to potential conflicts of interest among participants， collaboration with methodological experts should be enhanced， and efforts should be expedited to establish unified standards for evaluating evidence and recommendation methodologies.

Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective To summarize the results and clinical experience of transcatheter valve-in-valve implantation using domestic self-expanding valve in patients with aortic degenerated bio-prosthesis. Methods From January 2019 to April 2023, the patients who underwent transcatheter valve-in-valve surgery in the Department of Cardiac Surgery of Tianjin Chest Hospital due to surgical bio-prosthesis failure were included. Characteristics of valves, perioperative complications, and hemodynamic manifestations during the early postoperative and follow-up period were analyzed. Results A total of 24 patients were enrolled, including 14 males and 10 females with an average age of 68.17±7.72 years, and the average interval between the two operations was 10.48±4.09 years. All patients were successfully discharged without complications such as coronary artery obstruction and pacemaker implantation, and the average transvalvular pressure gradient was 16.39±6.52 mm Hg before discharge. During the median follow-up time of 16 months, the left ventricular diastolic inner diameter and ejection fraction were continuously improved. Conclusion Transcatheter valve-in-valve using domestic self-expanding valves is safe and feasible to treat aortic bioprosthetic valve failure. Sound patient selection and surgical strategies are critical to achieve good hemodynamics.

This experiment aims to study the taste-masking effects of different kinds of corrigent used individually and in combination on ibuprofen oral solution, in order to optimize the taste-masking formulation. Firstly, a wide range of corrigent and the mass fractions were extensively screened using electronic tongue technology. Subsequently, a combination of sensory evaluation, analytic hierarchy process (AHP)-fuzzy mathematics evaluation, and Box-Behnken experimental design were employed to comprehensively assess the taste-masking effects of different combinations of corrigent on ibuprofen oral solution, optimize the taste-masking formulation, and validate the results. The study received ethical approval from the Review Committee of the Beijing University of Chinese Medicine (ethical code: 2024BZYLL0102). The results showed that corrigent fractions and types were screened separately through single-factor experiments. Subsequently, a Box-Behnken response surface design combined with AHP and fuzzy mathematics evaluation was used to fit a functional model: Z = 688.310 11 - 3 023.722 22X₁ - 11.477 00X₂ + 62.721 67X₃ + 14.600 00X₁X₂ - 179.666 67X₁X₃ - 3.152 00X₂X₃ + 4 031.111 11X₁² + 0.525 28X₂² + 9.772 00X₃². This model is stable and reliable, determining the optimal taste-masking formulation to be 3.9 g·L^-1 of stevioside, 100 g L^-1 of xylitol, and 30 g L^-1 of methyl-β-cyclodextrin. The comprehensive score of the verification test is 88.14, with a relative RSD of 0.39%, indicating the feasibility of this model. This study achieved the improvement of the taste of ibuprofen oral solution through a combination of objective and subjective methods. Three types of corrigent were identified for enhancing drug taste, leading to the selection of the optimal taste-masking formulation for ibuprofen oral solution. This significantly enhanced the taste of the original formulation, improved patient compliance, and offered a new approach to mitigating the undesirable taste of formulations.

Three new compounds, including a naphthoquinone, a reduced naphthoquinone derivative naphthalenone, and a tricarboxylic acid, along with five known naphthalenone derivatives were isolated from ethyl acetate extract of rice fermentation products of the fungus Pleosporales sp. by multiple column chromatographic methods, including Sephadex LH-20 gel column chromatography, silica gel column chromatography, reversed-phase HPLC, and chiral chromatography. Their structures were elucidated by MS, NMR, and specific rotation spectroscopic analyses as well as ECD calculations. Three novel compounds were named as pleospathone A (1), pleospathone B (2), and pleosporalic acid A (3). Five known compounds were separately identified as (3S,4R)-3,4,8-trihydroxy-6-methyl-3,4-dihydronaphthalen-1(2H)-one (4), (4R)-3,4-dihydro-4,6,8-trihydroxy-1(2H)-naphthalenone (5), (-)-scytalone (6), (3S,4S)-3,4-dihydro-3,4,6,8-tetrahydroxy-1(2H)-naphthalenone (7), and cis-4-hydroxyscytalone (8). Compounds 4-8 were isolated from the Pleosporales fungi for the first time. Compound 1 shows inhibitory activities against human cervical carcinoma cell line HeLa and murine leukemia cell line P388 with the IC₅₀ values of 78.93 and 98.80 μmol·L^-1, respectively.

Objective: To examine the causal relationships between obesity, peripheral blood lipid indicators and non-small cell lung cancer (NSCLC) using Mendelian randomization (MR) method, so as to provide the basis for developing NSCLC prevention and control strategies. Methods: Genetic variation data of three obesity evaluation indicators, including body mass index (BMI), body fat ratio (BFR) and waist-to-hip ratio (WHR), and seven peripheral blood lipid indicators, including triglyceride (TG), total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C), apolipoprotein A1 (ApoA1), apolipoprotein B (ApoB) and lipoprotein a [LP (a)] were collected through genome-wide association studies (GWAS) and related public databases. Potential causal relationships between obesity, peripheral blood lipid indicators and NSCLC were analyzed using inverse-variance weighted (IVW) method and multivariable MR analysis upon a random effect model. Heterogeneity and horizontal pleiotropy of instrumental variables were evaluated using Cochran's Q test and MR-Egger regression. Results: There was statistically association between BMI with NSCLC (OR=1.256, 95%CI: 1.087-1.451); there were no statistically associations between BFR, WHR, seven peripheral blood lipid indicators and NSCLC (all P>0.005). There was heterogeneity in the association between BMI, BFR, WHR, TG, HDL-C and NSCLC (all P<0.05); no horizontal pleiotropy of instrumental variables was found (all P>0.05). There was no statistically association between BMI and NSCLC after adjusting BFR (OR=1.367, 95%CI: 0.878-2.128); there was still statistically association between BMI and NSCLC after adjusting WHR and peripheral blood lipid indicators (both P<0.05). Conclusions The increase of BMI is associated with the increased risk of NSCLC incidence. BFR may be a potential influencing factor for the association between BMI and NSCLC.

Objective:To investigate the tumor suppressing effect of Shenqi Yiliu decoction combined with cisplatin via ERK-mediated C-Myc/PD-L1 phase-coordinated pathway on H22 hepatocellular carcinoma tumor-bearing mice and its mechanism.Meth-ods:In 60 SPF-grade male Kunming mice,10 mice were taken as blank group by random number table method,and the other 50 mice were replicated as H22 hepatocellular carcinoma tumor-bearing mouse model.After successful replication of the model,the model mice were randomly divided into model group,cisplatin group[2.5×10-3 g/(kg·3 d)],Shenqi Yiliu decoction low[13.515 g/(kg·d)],me-dium[27.03 g/(kg·d-1)],and high dose[27.030 g/(kg·d)]combined with cisplatin group[2.5×10-3 g/(kg·3 d)],10 mice in each group were treated for 13 d.After 24 h of the last dose,the mice were anesthetized and sacrificed,and the tumor inhibition rate,spleen index and thymus index of each drug group were determined;HE staining was performed to observe the histopathological changes of tumor in mice;ELISA kit was used to detect the contents of EGF and IFN-γ in tumor tissue homogenate;p-ERK1/2,C-Myc and PD-L1 protein expression in tumor tissue were detected by IHC and Western blot;ERK,C-Myc and PD-L1 mRNA expression levels in tumor tissue were detected by RT-PCR.Results:Compared with blank group,the average body mass and spleen index of mice in model group were decreased(P<0.05).Compared with model group,the tumor inhibition effect of each treatment group was obvious,and Shenqi Yiliu decoction combined with cisplatin group inhibited tumor growth in liver cancer mice in a dose-dependent way,im-proved the average body mass,spleen index and thymus index of mice,promoted the necrosis of tumor cells and increased the necrotic area.EGF and IFN-γ contents,P-ERK1/2,C-Myc,PD-L1 protein expressions and ERK,C-Myc,PD-L1 mRNA expression levels were decreased in tumor tissues(P<0.05).Compared with cisplatin group,the therapeutic effect of Shenqi decoction combined with cisplatin in medium and high dose groups was significant,and the difference was statistically significant(P<0.05).Conclusion:Shenqi Yiliu decoction combined with cisplatin effectively inhibited the tumor growth of H22 liver cancer tumor-bearing mice and significantly reduces the expression of C-Myc and PD-L1 proteins in the tumor tissues,which may be through the regulation of ERK signaling path-way-related protein expression to exert tumor suppressive effect.

Objective:To provide a basis for improving the design and implementation of policies for ensuring the supply of pediatric drugs in China.Method:Based on the perspective of pharmaceutical enterprises,reviewed literature and conducts questionnaire surveys to identify the constraints in the development of pediatrict drugs throughout the entire drug lifecycle,and analyzes the constraints'concentration and urgency.Result:The main constraints include:difficulty in conducting clinical trials for children;the current registration and approval rules lack consideration for the specificity of pediatric drugs and specific requirements for application materials;lack of implementation rules and measures in the implementation process of incentive policies for pediatric drug production;The market interest mechanism of pediatric drugs is not yet perfect.Among them,research and development and payment for use are currently relatively concentrated issues.Discussion and suggestions:It is recommended that China fully utilize existing clinical trial data of pediatric and broaden sources,take multiple measures to increase investment in pediatric drug R&D;Develop special guidelines for pediatric drug application and encourage adult drug registration to submit pediatric research plans;Explore the optimization path of pediatrict drug production and supply based on typical cases;Provide more space for pediatric drugs in the rules of drug use and payment.

Objective:Using different machine learning methods to construct and screen the best prediction model for predicting the risk of death within 30 days after surgery in patients with acute type A aortic dissection.Methods:Five hundred and twenty-one patients with acute type A aortic dissection who underwent surgery between 2015 and 2022 were included, after collecting their perioperative date and screening them, 329 patients were retained. two different groups of predictor variables were generated by using Lasso regression and principal component analysis, after that, logistic regression, support vector machine algorithm, random forest algorithm, gradient boosting algorithm, and super learning algorithm were used to develop prediction models for the risk of death within 30 days after surgery. Finally, we compare the models and select the best one. Results:The AUC values for all models rangrd from 0.791-0.959. The model using Lasso regression to determine the predictor variables and built by the super learning algorithm had the best prediction with an AUC value of 0.959. Conclusion:The super learning algorithm better than other algorithms in predicting death within 30 days after acute type A aortic dissection.