ObjectiveTo explore the mechanism of action of Wendantang on ApoE^-/- hyperlipidemic mice using non-targeted metabolomics technology. MethodsMale C57BL/6J mice served as the normal control group （n=6）， and they were fed with regular chow， while male ApoE^-/- mice constituted the high-fat group （n=30）， and they were fed with a 60% high-fat diet. After 11 weeks of model establishment， the mice in the high-fat group were randomly divided into the model group， simvastatin group （3.3 mg·kg^-1）， and high-dose， medium-dose， and low-dose groups of Wendantang （26， 13， 6.5 g·kg^-1， respectively， in terms of crude drug amount）， with six mice in each group. The normal control group and the model group were gavaged with an equivalent volume of normal saline， and all groups continued to be fed their respective diets， receiving daily medication for 10 weeks with weekly body weight measurements. Serum levels of total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， free fatty acids （NEFA）， blood glucose （GLU）， alanine aminotransferase （ALT）， and aspartate aminotransferase （AST） were detected in the mice. Pathological changes in liver tissue were observed using hematoxylin-eosin （HE） staining， and ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry （UPLC-Q-TOF-MS/MS） was employed for metabolomic analysis of mouse liver tissue. ResultsCompared to the normal control group， the model group exhibited significantly increased body weight， blood lipid levels， and liver function （P<0.05， P<0.01）， with disordered liver tissue structure， swollen hepatocytes， and accompanying vacuolar fatty degeneration and inflammatory cell infiltration. Compared to the model group， the simvastatin group and Wendantang groups showed significantly reduced body weight， TG， NEFA， GLU， ALT， and AST levels （P<0.05， P<0.01）， with a significant increase in HDL-C levels （P<0.05， P<0.01）， demonstrating a dose-dependent effect. The lesion of the liver tissue section was obviously improved after administration， tending towards a normal liver tissue morphology. Analysis of liver metabolites revealed 86 differential metabolites between the normal control group and the model group， with the high-dose group of Wendantang able to regulate 56 of these metabolites. Twenty-two differential metabolites associated with hyperlipidemia were identified， mainly including chenodeoxycholic acid， hyocholic acid， taurine， glycocholic acid， dihydroceramide， hydroxy sphingomyelin C14∶1， arachidonic acid， and linoleic acid， enriching 22 metabolic pathways， with 4 being the most significant （P<0.05）， namely primary bile acid biosynthesis， sphingolipid metabolism， unsaturated fatty acid biosynthesis， and linoleic acid metabolism pathways. ConclusionWendantang can improve blood lipid levels and liver function in ApoE^-/- hyperlipidemic mice， which may be related to the regulation of primary bile acid biosynthesis， sphingolipid metabolism， unsaturated fatty acid biosynthesis， and linoleic acid metabolism pathways.

Objective:To construct the impact factor model of primary traditional Chinese medicine (TCM) health management service quality, and put forward corresponding policy suggestions.Methods:In this cross-sectional study, the typical sampling and random sampling method were used to select 39 insiders of primary TCM health management service from 15 communities in Zhejiang Province from August to October in 2022. Interviews on service projects, implementation effects and impact factors were conducted, the three-level coding of interview record was carried out using the grounded theory research method, a model of impact factor for health management service quality of basic TCM was constructed, and the corresponding policy recommendations were put forward.Results:Based on the open coding of 39 original interview data, a total of 516 reference points were obtained, and 53 initial concepts related to the topic were formed and summarized into 17 first-level categories. Through the summary of main axis coding, 6 main categories of “policy environment”，“health literacy”，“community orientation”，“capacity building”，“health preference” and “conflict of interest” were extracted. The logical correlation between the six main categories were analyzed with selective coding, an impact factor model was constructed in accordance with the story line of factors affecting service quality. The story line of this model was as follows: first, the policy environment was the external guarantee of community TCM service quality; second, as the demand-side of the services, the health literacy and requirement of residents was the regulatory factor for service quality; in addition, the community played the role of the supply-side of the services, the service ability construction was the key factor, and the community functions and target orientation was the internal driving factor, meanwhile, the internal/external conflicts of interest had a negative constraint on the service quality.Conclusions:The guarantee intensity of external policy environment is limited, the service demand side pays insufficient attention, and the service supply side functions are absent at the present stage. It is necessary to improve the external policy environment, deepen the connection between supply and demand sides in the field of TCM health service, promote the capacity building of TCM service at the grass-roots level, balance the interests of relevant departments of TCM service, in order to improve the quality of TCM health management service at the grass-roots level.

As a practical carrier for promoting the tiered diagnosis and treatment model, the medical consor-tium is of great significance for balancing medical resources and boosting medical service efficiency. The construction of medical consortiums not only improves the accessibility of high-quality medical resources for patients, but also enhances the diagnostic and treatment level of member units. Meanwhile, it provides space for the leading hospital to adjust the structure of diseases and improve the level of discipline construction. As the core of medical insurance payment reform, DRG, through indicators such as the case mix index(CMI) and the number of diagnosis related group (DRG), provides objective and quantified data support for case management and disease structure optimization, thus effectively guiding the rational allocation of medical resources and the adjustmentof diseases and surgical types within the medical consortium. Comprehensive use of DRG evaluation indicators can construct a multidimensional medical consortium construction evaluation system, provides a clear direction for medical consortium cooperation, thereby promoting the overall healthy and sustainable development of medical consortiums and achieving a win-win situation for all parties involved. This paper, based on the "1+5+1" medical consortium cooperation model centered around Peking Union Medical College Hospital, utilizes DRG indicators to analyze the benefits for patients, member hospitals, and the leading hospital during the medical consortium construction process, with the hope of providing reference for the construction of a medical consortium evaluation system.

Objective:To study the immunotherapeutic effect of chimeric hepatitis B core protein virus-like particles in subcutaneous lung adenocarcinoma mouse model, lays the foundation for the progression of tumor nano-therapeutic technology development.Methods:The plasmid was constructed by inserting a B-cell epitope of the human epidermal growth factor receptor-2 (HER-2) at hepatitis B core protein′s major immunodominant region (MIR). The recombinant virus nanoparticle, denoted as HBc-HER2, was obtained by E. coli expression system, followed by a series of purification steps. The immune response to this recombinant protein nanoparticle was assessed by measuring levels of anti-HER-2 antibody levels and characterizing antibody isotypes in a subcutaneous tumor mice model of lung adenocarcinoma. While tumor therapeutic efficacy was evaluated by measuring tumor size changes with an electronic caliper and MRI photography of subcutaneous tumor in mice.Results:A high-purity HBc-HER2 recombinant protein was obtained and could assemble into nanoparticle. Animal studies had demonstrated the robust immunogenicity of this vaccine in inducing high levels of HER-2 specific antibodies, yielding positive therapeutic outcomes against tumors.Conclusions:The engineered HBc-HER2 demonstrated notable tumor therapy efficacy in a subcutaneous lung adenocarcinoma mouse model, offering a foundation for tumor therapeutic nanotechnology vaccine research.

Objective To analyze the research status,hotspots and trends of TCM in the treatment of attention deficit hyperactivity disorder(ADHD).Methods The literature on the treatment of ADHD by TCM were was retrieved from CNKI,VIP,Wanfang Data,and CBM from the establishment of the databases to 7th,Sep.2023.NoteExpress 3.9 was used to manage and remove weight;Excel 2019 was used to draw a line trend chart for the number of published literature.CiteSpace 6.1R.6 software was used to perform co-occurrence and clustering analysis on authors,institutions and keywords,and a visual graph was drawn.Results A total of 1215 articles were included after screening.800 authors were involved,forming research teams with Han Xinmin,Wang Junhong,Ma Rong and Li Yirui as the cores respectively;Nanjing University of Chinese Medicine,Guangzhou University of Chinese Medicine,Beijing University of Chinese Medicine and so on published more papers.High-frequency keywords included clinical efficacy,acupuncture and moxibustion treatment,clinical experience,Chinese materia medica and so on;research frontiers included clinical efficacy,acupuncture and moxibustion treatment,clinical experience,data mining and attention.Conclusion The main research on the treatment of ADHD by TCM includes clinical efficacy,clinical experience,animal experiments and data mining,and relatively stable research teams have been formed,but there is less cooperation between teams and institutions.

Objective This project aimed to study the Miao medicine helleborus thibetanus franchon,including investigating its anti-inflammatory activity in collagen-induced arthritis CIA rats and its mechanism of VEGF/VEGFR2/P38 MAPK pathway regulation.Methods Sixty female Wistar rats were randomly divided into six groups:normal;model;positive drug;and low,medium,high dose groups,with 10 rats in each group.Bovine type Ⅱ collagen solution was injected into the tail of rats to construct the rheumatoid arthritis model,and the positive drug group was given MTX2.0 mg/(kg·d)by gavage once every other day.The three groups of helleborus thibetanus franchon low,medium,and high dose were gavaged with helleborus thibetanus franchon ethanol extract at 0.25,0.5 and 1 g/(kg·d)once a day.The normal and model groups were given an equivalent volume of NaCl solution,with continuous administration lasting for 28 days.During treatment,the general condition of the rats was observed,body weight changes recorded,and foot thickness measured.After treatment and euthanasia,the rats'hind limbs were removed for Micro-CT to detect bone destruction;hematoxylin and eosin staining for pathological investigattion of the synovial membrane;immunohistochemistry to observe neovascularization in the synovium;quantitative reverse-transcription PCR to detect mRNA levels of VEGF-A,VEGFR2,TNF-α in the synovial tissue;and Western Blot to detect the expression of VEGF,VEGFR2,p-P38,p-AKT.The analyses were used to explore the potential mechanisms of action of the Miao medicine helleborus thibetanus franchon in treating rheumatoid arthritis.Results Compared with the normal group,the model group showed significant weight loss(P＜0.01),increased foot swelling(P＜0.01),visible proliferative synovial tissue with inflammatory cell infiltration,erosive lesions on bone surfaces,increased neovascularization in the synovium,and significant bone destruction in Micro-CT,with reduced bone percentage,trabecular thickness,and bone density.The levels of VEGF-A,VEGFR2,TNF-α mRNA and VEGF-A,VEGFR2,p-P38,p-AKT proteins were significantly elevated(P＜0.01).Compared with the model group,the helleborus thibetanus franchon ethanol extract-treated groups showed improvements in these conditions in a dose-dependent manner,with the high-dose group receiving the best effect.There was a significant increase in the rats'body weight(P＜0.05);reduction in foot swelling(P＜0.05);amelioration of synovial and erosive bone lesions;reduction in neovascularization in the synovium;and significantly lower levels of VEGF-A,VEGFR2,and TNF-α mRNA,and VEGF-A,VEGFR2,p-P38,and p-AKT protein(P＜0.01).Conclusions The Miao medicine plant helleborus thibetanus franchon may alleviate joint inflammatory damage in CIA rats by modulating the VEGF/VEGFR2 signaling pathway,thereby exerting therapeutic effects on rheumatoid arthritis.

Abstract: Objective　To explore the epidemiological and clinical characteristics of non-tuberculous mycobacterial(NTM) pulmonary disease in Hainan in recent years, and to provide data support for the prevention and treatment of NTM pulmonary disease. Methods　Medical records of patients diagnosed with NTM pulmonary disease who treated at the Second Affiliated Hospital of Hainan Medical University (Hainan Provincial Tuberculosis Hospital) from January 2018 to December 2022 were collected. The demographics, regional distribution, temporal distribution, distribution of mycobacterial species, clinical symptoms, and radiological imaging changes of these patients were analyzed. Results　A total of 225 confirmed cases of NMT pulmonary disease were collected in this study, with 133(59.1%) female patients outnumbering 92(40.9%) male patients. The disease predominantly affected people over 50 years old, with 192 cases (85.3%), and the major onset age range was 61-<81 years old, with a median age of 63 and an average age of 62. Farmers comprised the majority of the patients, with 112 cases (49.8%). More patients were from the western region (90 cases, 40.0%) than from the central region (76 cases, 33.8%), followed by the eastern region (59 cases, 26.2%). A total of 10 strains were detected from 225 samples, with the most common strains being Mycobacterium intracellulare (92 cases, 40.9%), Mycobacterium chelonae/abscessus(80 cases, 35.6%), and Mycobacterium avium (15 cases, 6.7%), followed by Mycobacterium kansasii (5 cases, 2.2%), Mycobacterium fortuitum (4 cases, 1.8%), and Mycobacterium parascrofulaceum (3 cases, 1.3%). There were 10 cases (4.5%) of mixed infections, including Mycobacterium avium and Mycobacterium intracellulare (8 cases, 3.6%), Mycobacterium intracellulare and Mycobacterium chelonae/abscessus (1 case, 0.4%), and Mycobacterium fortuitum and Mycobacterium chelonae/abscessus (1 case, 0.4%). The primary clinical manifestations of NTM pulmonary disease included cough and sputum (219 cases, 97.3%), hemoptysis (92 cases, 40.9%), fever (61 cases, 27.1%), dyspnea (57 cases, 25.3%), night sweats (52 cases, 23.1%), weight loss (50 cases, 22.2%), and thoracodynia (35 cases, 15.6%). There was no significant difference in symptoms between male and female patients. Pleural thickening (188 cases, 83.6%) and bronchiectasis (151 cases, 67.1%) were the most common imaging changes in NTM pulmonary disease, followed by cavities (93 cases, 41.3%), emphysema (41 cases, 18.2%), and lung damage (28 cases, 12.4%). Male patients were more likely to have lung damage and emphysema, while female patients were more likely to have bronchiectasis. Conclusions　The distribution of NTM species is diverse in Hainan area, with Mycobacterium intracellulare, Mycobacterium chelonae/abscessus, and Mycobacterium avium are dominant species. NTM pulmonary disease and pulmonary tuberculosis have similar clinical features, which requires attention for differentiation in clinical practice.

BACKGROUND: Extreme temperature events, including extreme cold, are becoming more frequent worldwide, which might be harmful to pregnant women and cause adverse birth outcomes. We aimed to investigate the association between exposure to low ambient temperature in pregnant women and adverse birth outcomes, such as preterm birth, low birth weight, and stillbirth, and to summarize the evidence herein. METHODS: Relevant studies were searched in PubMed, Cochrane, and Embase electronic databases until November 2021. Studies involving low ambient temperature, preterm birth, birth weight, and stillbirth were included. The guidelines of the Preferred Reporting Items for Systematic Reviews and Meta-analyses were followed to conduct this study risk of bias and methods for data synthesis. RESULTS: A total of 34 studies were included. First, pregnant women exposed to low ambient temperature had an increased risk of preterm birth (risk ratio [RR] 1.08; 95% confidence interval [CI] 1.04-1.13). Subgroup analyses revealed that exposure during late pregnancy was more likely to induce preterm birth. In addition, only pregnant women exposed to <1st percentile of the mean temperature suffered increased risk of preterm birth. Moreover, pregnant women living in medium or hot areas were more prone to have preterm births than those in cold areas when exposed to low ambient temperatures. Asians and Blacks were more susceptible to low ambient temperatures than Caucasians. Second, pregnant women exposed to low ambient temperature had an increased risk of low birth weight (RR 1.07; 95% CI 1.03-1.12). Third, pregnant women had an increased risk of stillbirth while exposed to low ambient temperature during the entire pregnancy (RR 4.63; 95% CI 3.99-5.38). CONCLUSIONS: Exposure to low ambient temperature during pregnancy increases the risk of adverse birth outcomes. Pregnant women should avoid exposure to extremely low ambient temperature (<1st percentile of the mean temperature), especially in their late pregnancy. This study could provide clues for preventing adverse outcomes from meteorological factors. REGISTRATION No. CRD42021259776 at PROSPERO ( https://www.crd.york.ac.uk/PROSPERO/ ).
Pregnancy ; Infant, Newborn ; Female ; Humans ; Pregnancy Outcome ; Premature Birth/epidemiology* ; Stillbirth/epidemiology* ; Temperature ; Pregnancy Complications

Objective To explore the feasibility of individual identification based on the 2D-3D face image superimposition in Han individuals.Methods The 2D video surveillance images(including front,left and right side)and high-precision 3D face models of 10 Han individuals were collected,and Autodesk 3ds Max 2018 software was used to perform perspective matching on the 3D face models,and superimposed them on the 2D images,and the mean values of the distances between corresponding 11 feature points in the 2D-3D face images were calculated.The superimposition of 2D-3D face images from the same individual was defined as the matching group,and the superimposition of 2D-3D face images from different individuals was defined as the non-matching group.Results In general,the average distance ranges of the corresponding feature points between the matching group and the non-matching group did not overlap(P<0.05).Conclusion The non-overlapping mean range preliminarily indicates that the individual identification method based on the overlay comparison of 2D-3D face images described in this paper is feasible for Han individuals.

Objective:To assess the effectiveness of a model created using clinical features and preoperative chest CT imaging features in predicting the chronic obstructive pulmonary disease (COPD) among patients diagnosed with lung cancer.Methods:A retrospective analysis was conducted on clinical (age, gender, smoking history, smoking index, etc.) and imaging (lesion size, location, density, lobulation sign, etc.) data from 444 lung cancer patients confirmed by pathology at the Second Affiliated Hospital of Naval Medical University between June 2014 and March 2021. These patients were randomly divided into a training set (310 patients) and an internal test set (134 patients) using a 7∶3 ratio through the random function in Python. Based on the results of pulmonary function tests, the patients were further categorized into two groups: lung cancer combined with COPD and lung cancer non-COPD. Initially, univariate analysis was performed to identify statistically significant differences in clinical characteristics between the two groups. The variables showing significance were then included in the logistic regression analysis to determine the independent factors predicting lung cancer combined with COPD, thereby constructing the clinical model. The image features underwent a filtering process using the minimum absolute value convergence and selection operator. The reliability of these features was assessed through leave-P groups-out cross-validation repeated five times. Subsequently, a radiological model was developed. Finally, a combined model was established by combining the radiological signature with the clinical features. Receiver operating characteristic (ROC) curves and decision curve analysis (DCA) curves were plotted to evaluate the predictive capability and clinical applicability of the model. The area under the curve (AUC) for each model in predicting lung cancer combined with COPD was compared using the DeLong test.Results:In the training set, there were 182 cases in the lung cancer combined with COPD group and 128 cases in the lung cancer non-COPD group. The combined model demonstrated an AUC of 0.89 for predicting lung cancer combined with COPD, while the clinical model achieved an AUC of 0.82 and the radiological model had an AUC of 0.85. In the test set, there were 78 cases in the lung cancer combined with COPD group and 56 cases in the lung cancer non-COPD group. The combined model yielded an AUC of 0.85 for predicting lung cancer combined with COPD, compared to 0.77 for the clinical model and 0.83 for the radiological model. The difference in AUC between the radiological model and the clinical model was not statistically significant ( Z=1.40, P=0.163). However, there were statistically significant differences in the AUC values between the combined model and the clinical model ( Z=-4.01, P=0.010), as well as between the combined model and the radiological model ( Z=-2.57, P<0.001). DCA showed the maximum net benifit of the combined model. Conclusion:The developed synthetic diagnostic combined model, incorporating both radiological signature and clinical features, demonstrates the ability to predict COPD in patients with lung cancer.