ObjectiveTo investigate the mechanism of action of Kaixinsan in the treatment of Alzheimer's disease （AD） based on network pharmacology， molecular docking， and animal experimental validation. MethodsThe Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform（TCMSP） and the Encyclopedia of Traditional Chinese Medicine（ETCM） databases were used to obtain the active ingredients and targets of Kaixinsan. GeneCards， Online Mendelian Inheritance in Man（OMIM）， TTD， PharmGKB， and DrugBank databases were used to obtain the relevant targets of AD. The intersection （common targets） of the active ingredient targets of Kaixinsan and the relevant targets of AD was taken， and the network interaction analysis of the common targets was carried out in the STRING database to construct a protein-protein interaction（PPI） network. The CytoNCA plugin within Cytoscape was used to screen out the core targets， and the Metascape platform was used to perform gene ontology（GO） functional enrichment analysis and Kyoto encyclopedia of genes and genomes（KEGG） pathway enrichment analysis. The “drug-active ingredient-target” interaction network was constructed with the help of Cytoscape 3.8.2， and AutoDock Vina was used for molecular docking. Scopolamine （SCOP） was utilized for modeling and injected intraperitoneally once daily. Thirty-two male C57/BL6 mice were randomly divided into blank control （CON） group （0.9% NaCl， n=8）， model （SCOP） group （3 mg·kg^-1·d^-1， n=8）， positive control group （3 mg·kg^-1·d^-1 of SCOP+3 mg·kg^-1·d^-1 of Donepezil， n=8）， and Kaixinsan group （3 mg·kg^-1·d^-1 of SCOP+6.5 g·kg^-1·d^-1 of Kaixinsan， n=8）. Mice in each group were administered with 0.9% NaCl， Kaixinsan， or Donepezil by gavage twice a day for 14 days. Morris water maze experiment was used to observe the learning memory ability of mice. Hematoxylin-eosin （HE） staining method was used to observe the pathological changes in the CA1 area of the mouse hippocampus. Enzyme linked immunosorbent assay（ELISA） was used to determine the serum acetylcholine （ACh） and acetylcholinesterase （AChE） contents of mice. Western blot method was used to detect the protein expression levels of signal transducer and activator of transcription 3（STAT3） and nuclear transcription factor（NF）-κB p65 in the hippocampus of mice. ResultsA total of 73 active ingredients of Kaixinsan were obtained， and 578 potential targets （common targets） of Kaixinsan for the treatment of AD were screened out. Key active ingredients included kaempferol， gijugliflozin， etc.. Potential core targets were STAT3， NF-κB p65， et al. GO functional enrichment analysis obtained 3 124 biological functions， 254 cellular building blocks， and 461 molecular functions. KEGG pathway enrichment obtained 248 pathways， mainly involving cancer-related pathways， TRP pathway， cyclic adenosine monophosphate（cAMP） pathway， and NF-κB pathway. Molecular docking showed that the binding of the key active ingredients to the target targets was more stable. Morris water maze experiment indicated that Kaixinsan could improve the learning memory ability of SCOP-induced mice. HE staining and ELISA results showed that Kaixinsan had an ameliorating effect on central nerve injury in mice. Western blot test indicated that Kaixinsan had a down-regulating effect on the levels of NF-κB p65 phosphorylation and STAT3 phosphorylation in the hippocampal tissue of mice in the SCOP model. ConclusionKaixinsan can improve the cognitive impairment function in SCOP model mice and may reduce hippocampal neuronal damage and thus play a therapeutic role in the treatment of AD by regulating NF-κB p65， STAT3， and other targets involved in the NF-κB signaling pathway.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

Objective: To explore the impacts of coal mine dust on lung function in rats, so as to provide the basis for the early prevention and treatment of coal worker's pneumoconiosis. Methods: Seventy-two SPF-grade 8-week-old male Sprague-Dawley rats were randomly divided into the coal dust group, the coal-silica dust group, the silica dust group and the control group. The rats in the first three groups of rats were administered 1 mL corresponding dust suspension into the lungs using non-exposure tracheal instillation, while the rats in the control group were administered 1 mL normal saline. Respiratory rate (f), forced vital capacity (FVC), peak expiratory flow (PEF) and dynamic pulmonary compliance (Cdyn) were measured at 1, 3 and 6 months after dust exposure. Lung tissues were collected to measure reactive oxygen species (ROS) and adenosine triphosphate (ATP) levels using corresponding ELISA kits and ATP assay kits, respectively. The relative mRNA expressions of peroxisome proliferators-activated receptor gamma coactivator 1-alpha (PGC-1α) and mitochondrial transcription factor A (TFAM) were detected using real-time fluorescent quantitative polymerase chain reaction assay. The relative protein expressions of PGC-1α and TFAM were detected using Western blotting. Results: There was no interaction between dust type and exposure duration on f (P>0.05), but there were interactions on FVC, PEF and Cdyn (all P<0.05). Compared with the control group at 6 months after dust exposure, the f of the rats in the silica dust group were increased, while the FVC and PEF of the rats in the coal-silica dust and silica dust groups were decreased, and Cdyn of the rats in the coal dust, coal-silica dust and silica dust groups were decreased (all P<0.05). There were interactions between dust type and exposure duration on ROS and ATP levels, the relative mRNA and protein expressions of PGC-1α and TFAM (all P<0.05). Compared with the control group at 3 and 6 months after dust exposure, the ROS levels in the rats in the coal dust, coal-silica dust and silica dust groups were increased, while the ATP levels, the relative mRNA and protein expressions of PGC-1α and TFAM were decreased (all P<0.05). Conclusion The lung function impairment in rats caused by different types of coal mine dust is related to PGC-1α-mediated mitochondrial biogenesis dysfunction, which leads to increased ROS levels, decreased ATP and TFAM levels.

Objective: To examine the relationship between self-management behaviors and time perspective among patients with comorbid diabetes, so as to provide the evidence for improving self-management behaviors among patients with comorbid diabetes. Methods: The patients with comorbid diabetes who were registered in the chronic disease health management system of Minhang District, Shanghai Municipality in 2021, followed up regularly, and lived in Meilong Town were recruited. Demographic information and family history of diabetes were collected through questionnaire surveys. Time perspective and self-management behaviors were assessed using the Zimbardo Time Perspective Inventory and Diabetes Self-Management Behavior Scale, respectively. The relationship between self-management behaviors and time perspective was analyzed using a multivariable ordinal logistic regression model. Results: A total of 907 patients with comorbid diabetes were enrolled, including 472 males (52.04%) and 435 females (47.96%). There were 652 cases aged 65 years and above, accounting for 71.89%. In terms of the types of time perspective, 280 patients were future-oriented (30.87%), 236 were balanced (26.02%), 162 were sensation-seeking (17.86%), 123 were fatalistic (13.56%), and 106 were negative (11.69%). In terms of the self-management behaviors, 46 patients were good (5.07%), 643 were moderate (70.89%), and 218 were poor (24.04%). Multivariable ordinal logistic regression analysis showed that after adjusting for age, gender, educational level, marital status, occupation status, monthly income, and family history of diabetes, the patients with comorbid diabetes who had a future-oriented time perspective had better self-management behaviors (OR=1.874, 95%CI: 1.204-2.915). Conclusion The self-management behaviors among patients with comorbid diabetes are moderate to poor, and patients with a future-oriented time perspective can better engage in self-management behaviors.

Virus-related lymphoma exhibits a dual nature as both a hematologic malignancy and a viral infectious disease， making it more resistant to treatment and associated with poorer prognosis. This paper analyzes the understanding and therapeutic advantages of traditional Chinese medicine （TCM） in virus-related lymphoma. It proposes a TCM-based approach centered around syndrome differentiation， using standardized measurements of the overall TCM condition， multi-omics research of hematologic tumors， and artificial intelligence technologies to identify the "pre-condition" of virus-related lymphoma. A risk warning model will be established to early identify high-risk populations with viral infections that may develop into malignant lymphoma， thereby establishing a risk warning system for virus-related lymphoma. At the same time， a TCM health management approach will be applied to manage and regulate virus-related lymphoma， interrupting its progression and forming a human-centered， comprehensive， continuous health service model. Based on this， a standardized， integrated clinical prevention and treatment decision-making model for virus-related lymphoma， recognized by both Chinese and western medicine， will be established to provide TCM solutions for primary prevention of major malignant tumors.

Objective: To investigate the distribution of traditional Chinese medicine (TCM) syndromes and syndrome elements in lymphoma, as well as the correlation between TCM syndromes and Western clinical indicators, in order to analyze associations between TCM syndromes and these indicators. Methods: From January 2023 to May 2024, 216 patients with lymphoma who met the inclusion criteria in the Department of Hematology, Third People′s Hospital Affiliated to Fujian University of Traditional Chinese Medicine were enrolled. Four diagnostic methods were applied to perform TCM syndrome differentiation and extract syndrome elements. The correlations between various syndromes and blood test indicators of lactate dehydrogenase (LDH), β2-microglobulin (β2-MG), immunoglobulin G (IgG), immunoglobulin M (IgM), immunoglobulin A (IgA), white blood cell (WBC), hemoglobin (Hb), platelet count (PLT), neutrophil (NEUT), immunohistochemical markers of B-cell lymphoma-6 (BCL6), B-cell lymphoma-2 (BCL2), proto-oncogene MYC, and Ki67 protein expression, Ann Arbor staging, international prognostic index (IPI) score, bone marrow infiltration, concurrent infections during chemotherapy, and post-chemotherapy bone marrow suppression rate were analyzed. Results: Five TCM syndromes, ranked by frequency, were syndromes of yin deficiency with phlegm accumulation(41.67%), qi depression with phlegm obstruction(30.56%), cold-phlegm congelation and stagnation(12.96%), phlegm-blood stasis toxin(12.04%), and lingering pathogen due to deficient vital qi(2.77%). Yin deficiency(50.93%) and phlegm(45.37%) were the more prevalent syndrome elements. The TCM syndromes were correlated with β2-MG, PLT, MYC, BCL2/MYC, Ki67 protein expression, and bone marrow infiltration (P<0.05). No statistically significant differences were observed in Ann Arbor staging or IPI score across the syndromes. Compared to the syndrome of cold-phlegm congelation and stagnation, the syndrome of qi depression with phlegm obstruction exhibited higher levels of NEUT, MYC, BCL2/MYC, and Ki67 protein expression, as well as a higher rate of post-chemotherapy bone marrow suppression (P<0.05); the syndrome of phlegm-blood stasis toxin showed higher MYC and BCL2/MYC protein expression and a higher rate of post-chemotherapy bone marrow suppression rate (P<0.05); the syndrome of yin deficiency with phlegm accumulation demonstrated higher MYC and BCL2/MYC protein expression and bone marrow infiltration rates, whereas PLT level was lower (P<0.05); the syndrome of lingering pathogen due to deficient vital qi had higher MYC, BCL2/MYC, and Ki67 protein expression levels, as well as a higher rate of post-chemotherapy bone marrow suppression rate (P<0.05). Compared to the syndrome of qi depression with phlegm obstruction, the syndrome of phlegm-blood stasis toxin exhibited lower Ki67 protein expression (P<0.05); the syndrome of yin deficiency with phlegm accumulation had higher β2-MG level, bone marrow infiltration rate, and rate of concurrent infections during chemotherapy, whereas PLT and NEUT levels and the rate of post-chemotherapy bone marrow suppression rate were lower (P<0.05). Compared to the syndrome of phlegm-blood stasis toxin, the syndrome of yin deficiency with phlegm accumulation had higher β2-MG level, whereas NEUT and the rate of post-chemotherapy bone marrow suppression were lower(P<0.05); the syndrome of lingering pathogen due to deficient vital qi exhibited a higher Ki67 protein expression (P<0.05). Compared to the syndrome of yin deficiency with phlegm accumulation, the syndrome of lingering pathogen due to deficient vital qi also showed a higher Ki67 protein expression(P<0.05). Conclusion The syndrome of yin deficiency with phlegm accumulation is relatively common in lymphoma. There is a correlation between TCM syndromes and Western medicine clinical indicators. The presence of heat signs in the syndromes may indicate active disease and poor prognosis, while the presence of strong pathogenic factors and weak vital qi in the syndromes may indicate a severer chemotherapy-related bone marrow suppression.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

[Objective] To compare next generation sequencing (NGS) library construction technology between probe hybridization capture and amplicon methods, and analyze the influencing factors of HLA genotyping resolution level and its prospects in clinical applications. [Methods] A total of 207 clinical samples with known typing results and samples from the proficiency testing plan were selected. The conformity rate of HLA genotyping results, allele coverage and typing data analysis indicators were confirmed, and the effects of two library construction methods on the level of HLA genotyping discrimination were compared. [Results] The concordance rate of 207 samples with the feedback results of PT or prior well-characterized HLA genotypes was 100%. Among them, 91 samples were captured using hybridization probe capture method. Compared with the original amplicon method, the hybridization probe capture method can distinguish the alleles of DRB1 and DPB1 that cannot be determined in 13 samples. The allelic imbalance of DRB1, DPA1, and DQB1 loci in 6 samples was resolved. Three samples were found to have missed detection of alleles at the DQA1 and DQB1 loci. [Conclusion] The performance indicators of hybridization probe capture and amplicon performance confirmation meet the requirements of clinical detection of HLA genotyping, which provides an experimental method and basis for clinical application.

BACKGROUND:Osteoporotic vertebral fractures are the most common complication in patients with osteoporosis.As a new imaging technique,spine magnetic resonance imaging(MRI)is much more sensitive than X-ray film in the diagnosis of osteoporotic vertebral fractures.However,total spine MRI is costly and takes a long time to scan.Therefore,there is no consensus on whether all patients with osteoporotic vertebral fractures need to undergo total spine MRI scan and which patients need to undergo total spine MRI. OBJECTIVE:To analyze the distribution characteristics of vertebral fractures and explore their clinical significance by observing the whole spine MRI data of osteoporotic vertebral fractures patients. METHODS:Data of cases and MRI images of all patients diagnosed with fresh osteoporotic vertebral fractures who visited the Department of Orthopedics,Affiliated Hospital of Southwest Medical University from August 2018 to September 2022 were retrospectively analyzed.903 patients were included in the study based on inclusion and exclusion criteria.General information(age,gender,and body mass index),medical history characteristics(duration of illness,history of trauma surgery,percussion pain area,and pain score)were collected.The characteristics of vertebral fractures were analyzed through whole spine magnetic resonance imaging.Firstly,based on the number of vertebral fractures in patients,they were divided into the single vertebral fracture group(484 cases)and the multi-vertebral fracture group(419 cases),and the differences were analyzed between the two groups.Then,based on whether the farthest interval between the fractured vertebrae was greater than or equal to 5,the multi vertebral fracture group was further divided into two subgroups.Among them,Group A(the farthest interval between the fractured vertebrae was less than 5)contained 306 cases;Group B(with the farthest interval between fractured vertebral bodies greater than 5)included 113 cases.The differences were analyzed between two subgroups. RESULTS AND CONCLUSION:(1)Among 903 patients,419 patients(46.4%)had more than two fractured vertebrae.There were 654 patients(72.4%)with thoracolumbar fractures,and 54 patients(6%)with fractures in the thoracic plus lumbar region and the entire thoracic to lumbar region.In group B,96.5%of patients had multiregional percussion pain.(2)Compared with the patients in the single vertebral fracture group and the multi-vertebral fracture group,there were significant differences in bone mineral density,whether the medical history was greater than or equal to 1 month,the history of low energy injury,and the distribution and number of axial percussion pain areas in the spine during physical examination between the two groups(P<0.05).Age,gender,body mass index,whether there was underlying disease,pain visual analog scale score,whether there was a history of elderly thoracolumbar fracture,and whether there was a history of thoracolumbar surgery,and the number of fractured vertebrae had no statistical significance(P>0.05).(3)There were statistically significant differences between the Groups A and B in bone mineral density,the distribution and quantity of percussion pain area,and the history of low energy injury(P<0.05).There were no significant differences in age,gender,history of old fractures,visual analog scale score,body mass index,whether the medical history was longer than or equal to 1 month,history of underlying diseases,and history of thoracolumbar surgery between the two groups(P>0.05).(4)Patients with multiple low-energy trauma history,history of more than 1 month,multiple percussion pain,and the lower bone mineral density should be alert to the occurrence of multiple vertebral fracture and jump fracture.We recommend the whole spinal MRI for these patients.

BACKGROUND:Micro-robots have the characteristics of small size,flexibility,and strong targeting,and can complete complex tasks in a single or clustered manner in a narrow environment.With the continuous optimization of materials,preparation processes,and driving approaches,they have shown increasingly important application value in the field of biomedicine. OBJECTIVE:To analyze the application of field-driven micro-robots in medical field and to look forward to their application prospect. METHODS:Using"microrobots,nanorobots,drivers,biomedical,medical"as Chinese keywords and"microrobots,micro-robots,nanorobots,micromachine,microswimmer,medical"as English keywords,WanFang Data and PubMed databases were searched,respectively.The search time range was from January 2010 to January 2024,and a small number of long-term articles were included.Through reading the titles and preliminarily screening the abstracts,the repetitive studies,low-quality journals,and irrelevant literature were excluded.After reading the entire text,66 papers were finally included for review. RESULTS AND CONCLUSION:Field-driven medical micro-robots mainly include magnetic,optical,thermal,ultrasonic,and multi-mixed factor-driven robots.Field-driven robots have been used in intestinal diagnosis,drug targeting therapy,and stem cell therapy.Medical micro-robots are currently only used in a small number of clinical applications,but most of which are still in the theoretical and experimental stages.Medical micro-robots will face many challenges in future,such as large-scale preparation,precise control of micro-robots,recycling or degradation in vivo,whether the materials used will cause adverse reactions to the human body,and the related minimally invasive medical procedures.