OBJECTIVE: In Pakistan, traditional medicines are an important component of the medical system, with numerous varieties and great demands. However, due to the scattered resources and the lack of systematic collection and collation, adulteration of traditional Pakistani medicine (TPM) is common, which severely affects the safety of their medicinal use and the import and export trades. Therefore, it is urgent to systematically organize and unify the management of TPM and establish a set of standards and operable methods for the identification of TPM. METHODS: We collected and organized the information on 128 TPMs with regard to their medicinal parts, efficacy, usage, and genetic material, based on Pakistan Hamdard Pharmacopoeia of Eastern Medicine: Pharmaceutical Codex. The genetic information of TPM is summarized from national center for biotechnology information (NCBI) and global pharmacopoeia genome database (GPGD). Furthermore, we utilized bioinformatics technology to supplement the chloroplast genome (cp-genome) data of 12 TPMs. To build the web server, we used the Linux + Apache + MySQL + PHP (LAMP) system and constructed the webpage on a PHP: Hypertext Preprocessor (PHP) model view controller (MVC) framework. RESULTS: We constructed a new genomic database, the traditional Pakistani medicine genomic database (TPMGD). This database comprises five entries, namely homepage, medicinal species, species identification, basic local alignment search tool (BLAST), and download. Currently, TPMGD contains basic profiles of 128 TPMs and genetic information of 102 TPMs, including 140 cytochrome c oxidase subunit I (COI) sequences and 119 mitochondrial genome sequences from Bombyx mori, 1 396 internal transcribed spacer 2 (ITS2) sequences and 1 074 intergenic region (psbA-trnH) sequences specific to 92 and 83 plant species, respectively. Additionally, TPMGD includes 199 cp-genome sequences of 82 TPMs. CONCLUSION TPMGD is a multifunctional database that integrates species description, functional information inquiry, genetic information storage, molecular identification of TPM, etc. The database not only provides convenience for TPM information queries but also establishes the scientific basis for the medication safety, species identification, and resource protection of TPM.

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.

Objective:To explore the effects of dexmedetomidine (DEX) on postoperative pain, oxidative stress and adverse reactions in patients undergoing radical mastectomy.Methods:A total of 90 patients with breast cancer who received radical surgical treatment in our hospital from Jun. 2022 to Jun. 2023 were prospectively included as research objects and randomly divided into 3 groups with 30 patients in each group. DEX group was applied before, during and after surgery, respectively. The levels of pain visual analogue scale (VAS), Richmonation sedation score (RASS), superoxide dismu-tase (SOD) and malondialdehyde (MDA) were recorded.Results:The recovery time and extubation time in preoperative and intraoperative DEX group were significantly lower than those in postoperative DEX group, and the awakening time and extubation time in preoperative DEX group were significantly lower than those in intraoperative DEX group ( F value was 48.62 and 53.98, respectively, P<0.001). At 1 h, 6 h and 12 h after surgery, the VAS and RASS scores of patients in the preoperative and intraoperative DEX group were significantly lower than those in the postoperative DEX group, compared with those in the intraoperative DEX group. The VAS and RASS scores in the DEX group were significantly decreased ( F value: 62.34, 55.24, 69.26, 36.82, 24.20, 39.97, P<0.001). At 24h after surgery, there was no significant difference in VAS and RASS scores among the three groups ( F value was 0.45 and 0.81, respectively, P value was 0.613 and 0.418). Immediately after surgery, 24 h after surgery, 72 h after surgery, the SOD level of DEX group was significantly higher than that of DEX group before and during surgery ( F value was 29.37, 33.24, 10.35, P<0.001). MDA levels were significantly lower than those in postoperative DEX group ( F value was 30.52, 41.27, 8.26, P<0.001). There was no significant difference in the incidence of postoperative adverse reactions among all groups ( P>0.05) . Conclusion:Preoperative and intraoperative application of DEX can reduce postoperative pain and oxidative stress in breast cancer patients, help patients recover quickly after surgery, and preoperative application is superior to intraoperative application.

Objective Developing a new type of full-face respiratory protective mask for nuclear facility sites to enhance the sound transmission function and improve the facial adaptability. Methods Combined with feedback from on-site practical needs, this study utilized finite element simulation and ergonomic design methods to investigate the voice transmission units of full-face masks and the facial features of workers at key nuclear facilities. Based on the research results, a new full-face respiratory protection mask structure was designed. Results The optimized structure of passive thin film voice transmission unit significantly enhanced voice transmission efficiency, reducing average voice transmission loss by approximately 70% compared to the control group using thin plate units of equivalent thickness. The existing facial feature test panels insufficiently cover and unevenly classify the facial features of workers at key nuclear facilities. In this study, a specialized test panel based on measurement data achieved a total coverage of 98.5% with high distribution uniformity within each class, providing effective guidance for redesigning full-face mask structural parameters. In comparison to foreign products currently utilized in nuclear facilities, the newly designed full-face mask structure exhibited excellent tightness and structural safety and reliability, and can be cleaned, decontaminated, and reused. Conclusion The results of this study provide significant guidance for improving and optimizing full-face respiratory protection mask used at nuclear facilities, as well as promoting domestic production of high-quality full-face respiratory protection masks.

Randomized controlled trial (RCT) are considered the "gold standard" for evaluating the causal effects of interventions on outcome measures. However, due to high research costs and ethical constraints, conducting RCT in clinical practice, especially in the surgical field, faces numerous challenges such as difficulties in subject recruitment, implementation of blinding, and standardization of interventions. In such cases, using real-world data to perform causal inference under the framework of target trial emulation (TTE), based on the principles of RCT design, helps to identify and reduce biases arising from design flaws in traditional observational studies, such as immortal time bias, confounding, selection bias, or collider bias. This approach can produce high-quality evidence comparable to that of RCT, thereby enhancing the clinical guidance value of real-world data studies. However, TTE has limitations, such as the inability to completely eliminate confounding, high quality requirements for source data, and the current lack of reporting standards. Therefore, researchers should be fully aware of these limitations to avoid making incorrect causal inferences. This article intends to provide an overview of the TTE framework, implementation points, application scope, application cases, and advantages and disadvantages of the framework.

Objective To investigate the protective effect of Toll-like receptor (TLR)2/TLR9 agonists,Pam2 CSK4(Pam)and CpG ODN (CpG)on mice infected with Acinetobacter baumannii (Ab)in the lungs.Methods Female C57 mice (6～8 weeks old)were randomly divided into PBS,Pam,CpG and Pam+CpG groups.In 24 h after intranasal immunization with different doses of the corresponding agonists,the mice were given a lethal dose of Ab infection in the lungs,and the survival rates of the mice were observed.A sublethal dose lung infection model of Ab was then established,and the bacterial colonization in the blood,lungs,liver,kidneys and spleen was measured respectively in the mice after infection.HE staining was used to observe the pathological damages in the lungs and kidneys.The protective effect of the agonists in the immunized mice against Ab was examined at 1,3 and 7 d after immunization to explore the protective time window.Pam+CpG was used to stimulate A549 cells and RAW264.7 cells to investigate the killing or phagocytic effects on Ab.Results Compared to PBS,Pam+CpG treatment significantly improved the survival rate of the mice after a lethal dose of Ab lung infection (P<0.05,P<0.01 ),reduced bacterial colonization in the blood (P<0.01 ),lungs (P<0.01 ),liver (P<0.01 ),kidneys (P<0.01 )and spleen (P<0.01 )in the mice after sublethal challenge,and alleviated pathological damage caused by infection. Immunization at 1 or 3 d before infection significantly improved the survival rate (P<0.05 ),and the protective effect was the best in 3 d after immunization.Furthermore,compared to single PBS,Pam and CpG immunization,Pam+CpG significantly promoted the killing and phagocytic effects of A549 epithelial cells and RAW264.7 cells,respectively,against Ab (P<0.01 ).Conclusion Combined application of TLR2/TLR9 agonists exerts a significant protective effect on both lethal and sublethal infections of Ab,which might be by its promoting the killing or phagocytic effect of lung epithelial cells and macrophages against Ab.

Objective To construct lipid nanoparticles(lipopeptide-lipid nanoparticle,LP-LNP)with novel lipopeptides as adjuvants,and initially explore their synergistic effect on mRNA vaccines.Methods Two novel lipopeptides,SS-10 and SQ18,were designed and synthesized.Microfluidic technology was used to encapsulate lipopeptides in different proportions,as well as mRNAs encoding enhanced green fluorescent protein(eGFP),firefly luciferase(F-luc),and ovalbumin(OVA)into lipid nanoparticles to construct an mRNA delivery system with novel lipopeptides as adjuvants(LP-LNP).The particle size and polydispersity coefficient of LP-LNP were measured using dynamic light scattering.The activation effect on Toll-like receptors 2(TLR2)was detected using HEK-BlueTM mTLR2 reporter cells to screen the optimal lipopeptide ratio.The preferred LP-LNP-eGFP-mRNA was transfected into HEK293T cells,and the expression of eGFP was observed under a fluorescence microscope.In vivo imaging was used to investigate the expression level of LP-LNP-F-luc-mRNA in mice.Flow cytometry was used to evaluate the ability of LP-LNP-OVA-mRNA to induce the maturation of dendritic cells(DCs)in draining lymph nodes and cross-presentation of antigens after immunization.Results Lipopeptides SQ18 and SS-10 were incorporated into LNP at 0.50％and 0.75％molar ratios,respectively,to obtain LP-LNP with uniform particle size,high encapsulation efficiency,and good in vitro safety.The ability of this formulation to activate TLR2 was significantly stronger than the positive control Pam2CSK4(P＜0.01).The preferred LP-LNP obtained effective in vitro transfection,and LP-LNP prepared with SQ18 at 0.50％molar ratio had significantly better in vivo transfection efficiency than traditional LNP(P＜0.01),and significantly promoted the maturation of DCs in draining lymph nodes and cross-presentation of antigens(P＜0.05).Conclusion LP-LNP with novel lipopeptides as adjuvants can enhance the delivery capacity of mRNA and further improve the immune effect of mRNA vaccines.

Objective To prepare a high performance electrochemical immunosensor for detecting Brucella abortus(B.abortus).Methods Prussian blue(PB),multi walled carbon nanotubes(MWCNTs)and gold nanoparticles(GNPs)(PB-MWCNTs-GNPs)nanocomposites were prepared,and appropriate antibody was used to construct the immunosensor for detecting B.abortus samples.The optimal conditions were clarified by examining the key factors in sensor construction,and then the performance of the sensor was evaluated.Results The optimal construction conditions were determined as follows:the ratio of MWCNTs-PB was 1∶5,the drying temperature was 37 ℃,the pH value of buffer system was 7.5,and the incubation time of antibody and sample was 1 h and 30 min,respectively.B.abortus exhibited a good linear relationship,when ranging from 10 to 1 × 105 CFU/mL.The sensor had good anti-interference ability,repeatability,stability and high accuracy.Conclusion Our prepared PB-MWCNTs GNPs nanomaterials modified electrochemical immunosensor for detecting B.abortus is easy to prepare,has good performance,and can provide reference for the early clinical diagnosis of brucellosis.

Objective:To develop and evaluate a nomogram prediction model for poor outcome in patients with minor acute ischemic stroke (MIS) at 90 days after onset.Methods:Patients with MIS admitted to the Second People's Hospital of Hefei from January 2022 to June 2023 were retrospectively enrolled. At 90 days after onset, the modified Rankin Scale was used for outcome evaluation. <2 points were defined as good outcome and ≥2 points were defined as poor outcome. Multivariate logistic regression analysis was used to identify independent risk factors for poor outcome, and a nomogram prediction model was developed based on these factors. Results:A total of 177 patients with MIS were included, of which 61 (34.46%) had poor outcome. Multivariate logistic regression analysis showed that hypertension (odds ratio [ OR] 3.484, 95% confidence interval [ CI] 1.378-8.810; P=0.008), diabetes ( OR 2.936, 95% CI 1.301-6.625; P=0.009), National Institutes of Health Stroke Scale (NIHSS) score at admission ( OR 2.936, 95% CI 1.027-1.709; P=0.031) and systolic blood pressure at admission ( OR 1.083, 95% CI 1.053-1.115; P<0.001) were the independent risk factors for poor outcome. The established nomogram prediction model had a C-index of 0.828 and the area under the curve was 0.841 (95% CI 0.778-0.891). The calibration curve fitted well with the ideal curve. The clinical decision curve showed that the model had stronger clinical applicability. Conclusions:Hypertension, diabetes, NIHSS score and systolic blood pressure at admission are independent risk factors for poor outcome of patients with MIS. The nomogram based on the above factors has higher discriminative power and clinical value for predicting poor outcome in patients with MIS.