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Multidrug-resistant Escherichia coli (MDR-E. coli) is a global health concern. Lactic acid bacteria (LAB) are important probiotics that have beneficial effects on health, and in recent years, their influences in preventing foodborne pathogens-induced colitis have attracted much attention. Therefore, this study aimed to investigate the oral administration of Lactiplantibacillus plantarum NWAFU-BIO-BS29 as an emerging approach to alleviate MDR-E. coli-induced colitis in BALB/c mice model. To illustrate the mode of action of NWAFU-BIO-BS29 interventions with the gut microbiota and immune responses, the changes on the colonic mucosal barrier, regulatory of the gene expressions of inflammatory cytokines, re-modulating the intestinal microflora, and changes in physiological parameters were studied. The results indicated that daily supplementation of 200 µL fresh bacteria for 7 days had ameliorated the associated colitis and partially prevented the infection. The modes of action by ameliorating the inflammatory response, which destructed villous and then affected the intestinal barrier integrity, reducing the secretion of interleukins (6 and ß) and tumor necrosis factor (TNF-α) in serum by 87.88-89.93%, 30.73-35.98%, and 19.14-22.32%, respectively, enhancing the expressions of some epithelial integrity-related proteins in the mouse mucous layer of mucins 2 and 3, Claudin-1, and Occludin by 130.00-661.85%, 27.64-57.35%, 75.52-162.51%, and 139.36-177.73%, respectively, and 56.09-73.58% for toll-like receptor (TLR4) in colon tissues. Notably, the mouse gut microbiota analysis showed an increase in the relative abundance of beneficial bacteria, including Lactobacillus, Bacteriodales bacterium, Candidatus Saccharimonas, Enterorhabdus, and Bacilli. Furthermore, the probiotic promoted the proliferation of epithelia and goblet cells by increasing short-chain fatty acids (SCFAs) levels by 19.23-31.39%. In conclusion, L. plantarum NWAFU-BIO-BS29 has potential applications and can be considered a safe dietary supplement to ameliorate the colitis inflammation symptoms of MDR-E. coli infection.
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OBJECTIVE: To investigate the clinical significance of bone metabolic indexes for disease assessment and curative effect monitoring in multiple myeloma (MM) bone disease (MBD) patients with different blood separation results. METHODS: A total of 134 newly diagnosed MM patients treated in Cangzhou Hospital of Integrated TCM-WM-Hebei were enrolled and divided into control group [119 cases, serum, colloid and red blood cell (RBC) from top to bottom of sample] and abnormal group (15 cases, serum, mixed layer of RBC and serum, colloid and RBC from top to bottom of sample) according to the results of blood separation. According to the imaging findings, MBD was classified into grade 0-4, grade 0-2 was mild, and grade 3-4 was severe. The MBD grade of patients in the two groups was analyzed. The curative effect of MBD patients after chemotherapy and the changes of blood separation results and bone metabolic indexes before and after treatment were evaluated. The correlation between ß2-microglobulin (MG) and bone metabolic indexes was analyzed by Pearson correlation analysis. RESULTS: In the control group, there were 69 cases of grade 0-2 and 50 cases of grade 3-4, while in the abnormal group, there were 5 cases of grade 0-2 and 10 cases of grade 3-4, the difference was statistically significant (P < 0.05). The serum ß2-MG, ß-CTX levels in abnormal group were both significantly higher than those in control group, while the levels of P1NP and osteocalcin (OC) were significantly lower (all P < 0.001). In the control group, there were 95 patients with ≥ partial response (PR) and the blood separation results were not changed, while 24 patients with
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Osso e Ossos , Mieloma Múltiplo , Humanos , Mieloma Múltiplo/sangue , Osso e Ossos/metabolismo , Doenças Ósseas , Microglobulina beta-2/sangue , Colágeno Tipo I/sangue , Osteocalcina/sangue , Masculino , Pessoa de Meia-IdadeRESUMO
To address the urgent need for agricultural intelligence in the face of increasing agricultural output and a shortage of personnel, this paper proposes a high precision object detection network for automated pear picking tasks. The current object detection method using deep learning does not fully consider the redundant background information of the pear detection scene and the mutual occlusion characteristics of multiple pears, so that the detection accuracy is low and cannot meet the needs of complex automated pear picking detection tasks. The proposed, High-level deformation-perception Network with multi-object search NMS(HDMNet), is based on YOLOv8 and utilizes a high-level Semantic focused attention mechanism module to eliminate irrelevant background information and a deformation-perception feature pyramid network to improve accuracy of long-distance and small scale fruit. A multi-object search non-maximum suppression is also proposed to choose the anchor frame in a combined search method suitable for multiple pears. The experimental results show that the HDMNet parameter amount is as low as 12.9 M, the GFLOPs is 41.1, the mAP is 75.7%, the mAP50 reaches 93.6%, the mAP75 reaches 70.2%, and the FPS reaches 73.0. Compared with other SOTA object detection methods, it has the transcend of real-time detection, low parameter amount, low calculation amount, high precision, and accurate positioning.
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Skeletal muscles serve both in movement and as endocrine organs. Myokines secreted by skeletal muscles activate biological functions within muscles and throughout the body via autocrine, paracrine, and/or endocrine pathways. Skeletal muscle atrophy can influence myokine expression and secretion, while myokines can impact the structure and function of skeletal muscles. Regulating the expression and secretion of myokines through the pharmacological approach is a strategy for alleviating skeletal muscle atrophy. Natural products possess complex structures and chemical properties. Previous studies have demonstrated that various natural products exert beneficial effects on skeletal muscle atrophy. This article reviewed the regulatory effects of natural products on myokines and summarized the research progress on skeletal muscle atrophy associated with myokine regulation. The focus is on how small-molecule natural products affect the regulation of interleukin 6 (IL-6), irisin, myostatin, IGF-1, and FGF-21 expression. We contend that the development of small-molecule natural products targeting the regulation of myokines holds promise in combating skeletal muscle atrophy.
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Produtos Biológicos , Músculo Esquelético , Atrofia Muscular , Atrofia Muscular/metabolismo , Atrofia Muscular/tratamento farmacológico , Atrofia Muscular/patologia , Produtos Biológicos/farmacologia , Produtos Biológicos/uso terapêutico , Humanos , Animais , Músculo Esquelético/metabolismo , Músculo Esquelético/efeitos dos fármacos , Músculo Esquelético/patologia , Miostatina/metabolismo , Fator de Crescimento Insulin-Like I/metabolismo , Interleucina-6/metabolismo , Fatores de Crescimento de Fibroblastos/metabolismo , MiocinasRESUMO
BACKGROUND: Circulating aminotransferases (ALT and AST) have been used as biomarkers for liver injury. The causal relationships between aminotransferases and metabolic syndrome remain ambiguous. METHODS: We conducted bidirectional and multivariable Mendelian randomization (MR) analyses between aminotransferases and traits related to metabolic syndrome using genetic variants obtained from genome-wide association studies (GWASs). MR-PRESSO tests were adopted to remove outliers and eliminate pleiotropy. MR steiger tests were conducted to ensure the correct direction of the causal effects. RESULTS: Both aminotransferases were risk factors for essential hypertension. ALT is a risk factor for type 2 diabetes. The bidirectional causal relationship between ALT and hyperglycemia, serum lipids, and obesity was demonstrated. The effect of fasting glucose on AST was demonstrated, while type 2 diabetes did not affect AST. The effect of HDL-C on ALT and the effect of triglycerides on AST were found in multivariable MR analyses. CONCLUSIONS: Our bidirectional MR analyses suggest that ALT and AST are causally associated with several metabolic syndrome-related traits, especially hypertension and type 2 diabetes. These findings highlight the potential role of aminotransferases as biomarkers and therapeutic targets for metabolic syndrome.
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Alanina Transaminase , Diabetes Mellitus Tipo 2 , Estudo de Associação Genômica Ampla , Análise da Randomização Mendeliana , Síndrome Metabólica , Síndrome Metabólica/genética , Humanos , Alanina Transaminase/sangue , Diabetes Mellitus Tipo 2/genética , Aspartato Aminotransferases/sangue , Fatores de Risco , Hipertensão/genética , Biomarcadores/sangue , Transaminases/genética , Transaminases/sangue , Polimorfismo de Nucleotídeo ÚnicoRESUMO
The acoustic coding metasurfaces (ACMs) have the ability to manipulate complex acoustic behavior by reconstructing the coding sequence. In particular, the design of broadband coding enhances the versatility of ACMs. ACMs offer significant advantages over traditional metasurfaces, including a limited number of units and flexible wave control performance. The unit quantity is determined by 2n, with 1-bit utilizing 2 units, 2-bit using 4 units, and 3-bit employing 8 units. Utilizing multiple bits allows for precise control over the phase of sound waves and enables the realization of more intricate acoustic functions. To address the requirements of broadband multi-bit applications, this paper presents the development of novel 3-bit broadband reflected acoustic coding metasurfaces (BACMs) with eight coding units. These metasurfaces are systematically designed using the bottom-up topology optimization method. A constant phase difference of 45° can be achieved across all eight coding units within a broad frequency range. Additionally, the spiral distribution of phase differences enables the construction of an acoustic vortex metasurface. Moreover, by combining the convolution method, the strategies are outlined for constructing vortex-focusing metasurfaces and vortex beam manipulation metasurfaces. These 3-bit coding metasurfaces possess significant potential in the fields of acoustic particle suspension and acoustic communication.
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Objective:To investigate the expression of Toll-like receptor 4(TLR4)and extracellular signal-regulated protein kinase 1/2(ERK1/2)in decidua tissue of patients with unexplained spontaneous abortion and their correlation.Methods:The expres-sions of TLR4,ERK1/2 and p-ERK1/2 in decidua tissues of 32 patients with unexplained spontaneous abortion(abortion group)and 32 normal pregnancy(control group)were detected by immunohistochemistry and Western blot,respectively.The correlation between TLR4 and p-ERK1/2 in abortion group were analyzed by Pearson hierarchical correlation analysis.Results:In immunohistochemical experiments,the cytoplasm of decidua cells in the two groups is the expression locus of TLR4,ERK1/2 and p-ERK1/2,the expression of the three proteins were different,and the expressions of TLR4 and p-ERK1/2 in abortion group were significantly higher than that in control group(P<0.01).There was no significant difference in ERK1/2 expression between abortion group and control group(P>0.05);In decidua tissue samples of abortion group,the protein level of TLR4 was higher than that of control group(P<0.05);the pro-tein level of p-ERK1/2 was significantly higher than that of control group(P<0.01),and the protein level of ERK1/2 in decidua tissue of abortion group was not statistically different from that of control group(P>0.05).TLR4 was positively correlated with p-ERK1/2 expression in abortion group(r=0.890,P<0.01).Conclusion:Abnormal activation of TLR4/ERK1/2 signaling pathway may be one of the mechanisms of unexplained spontaneous abortion.
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Objective:To construct an explainable artificial intelligence(AI) model of risk characteristics of papillary thyroid carcinoma(PTC), and to explore its value of it combined with clinical features in predicting cervical lymph node metastasis(CLNM) in PTC patients.Methods:From January 2021 to September 2022, 422 patients(422 nodules) with pathologically confirmed PTC underwent thyroidectomy and neck lymph node dissection in the Second Affiliated Hospital of Xi′an Jiaotong University were retrospectively collected, the patients were randomly divided into training set and test set according to the ratio of 7∶3. Ultrasonographic features highly correlated with PTC risk characteristics were extracted by traditional machine learning method, and an intelligent prediction model with optimal probability of risk characteristics was established. Then, a risk model for predicting CLNM of PTC patients was constructed in combination with clinical features. The diagnostic effectiveness of the model was evaluated by drawing a ROC curve and calculating the area under curve (AUC).Results:In the AI explaineable model of PTC risk characteristics in the test set, the intelligent diagnosis model of calcification based on logistic regression classification showed the highest diagnostic efficiency, with an AUC of 0.87 ( P<0.05). Compared with the probability model of risk characteristic of PTC alone, the comprehensive model combined with clinical characteristics showed higher diagnostic efficiency in predicting CLNM of PTC patients, with AUC of 0.97, diagnostic critical value of 0.15, corresponding accuracy, sensitivity and specificity of 92.65%, 92.76% and 92.54%, respectively (all P<0.05). Conclusions:The explaineble risk characteristics of PTC AI model combined with clinical features can effectively predict the cervical lymph node metastasis of PTC, and then provide effective information for clinical decision-making of PTC patients.
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Objective:To conduct a comparative analysis of the radiation damage to zebrafish embryos and the associated biological mechanism after ultra-high dose rate (FLASH) and conventional dose rate irradiation.Methods:Zebrafish embryos at 4 h post-fertilization were exposed to conventional and FLASH irradiation (9 MeV electron beam). The mortality and hatchability of zebrafish after radiation exposure were recorded. Larvae at 96 h post-irradiation underwent morphological scoring, testing of reactive oxygen species (ROS) levels, and analysis of changes in oxidative stress indicators.Results:Electron beam irradiation at doses of 2-12 Gy exerted subtle effects on the mortality and hatchability of zebrafish embryos. However, single high-dose irradiation (≥ 6 Gy) could lead to developmental malformation of larvae, with conventional irradiation showing the most significant effects ( t = 0.87-9.75, P < 0.05). In contrast, after FLASH irradiation (≥ 6 Gy), the ROS levels in zebrafish and its oxidative stress indicators including superoxide dismutase (SOD), catalase (CAT), and malondialdehyde (MDA) were significantly reduced ( t = 0.42-15.19, P < 0.05). There was no statistically significant difference in ROS levels in incubating solutions after conventional and FLASH irradiation ( P > 0.05). Conclusions:Compared to conventional irradiation, FLASH irradiation can reduce radiation damage to zebrafish embryos, and this is in a dose-dependent manner. The two irradiation modes lead to different oxidative stress levels in zebrafish, which might be a significant factor in the reduction of radiation damage with FLASH irradiation.
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Objective:To analysis the laws and regulations related to human genetic resources, this study analyzed the current management status and trends at home and abroad, explored the related issues of human genetic resources data management, and provided reference for further promoting and standardizing the management of human genetic resources data in my country.Methods:This article analyzed the current management status of human genetic resources data from three levels: relevant policies, management frameworks, data platforms and sample databases through literature review and expert consultation and policy research.Results:Countries paid more and more attention to human genetic resources, and the construction of my country′s human genetic resources management system is constantly advancing and improving. In the data era, the management of human genetic resources was facing new problems and challenges, requiring further strengthening the research and management of relevant data.Conclusions:At present, the management of human genetic resource data in my country needs to be strengthened. On the one hand, it is necessary to promote the implementation and coordinated management of specific systems on human genetic resources data. On the other hand, it is necessary to strengthen the effective protection and sharing of human genetic resource data.
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Objective:To explore the ways and methods to improve the ability of hospital ethical review and ensure the quality and efficiency of ethical review.Methods:By consulting the literature and combining the practical experience of the construction of the ethics committee and the ethical review work in the hospital, analyze the present situation of ethical review in our country, and deeply analyze the main problems existing in the work of ethical review in hospitals.Results:The quality and efficiency of ethical review can be effectively improved by implementing centralized management, optimizing work processes, establishing emergency response systems, opening green channels, optimizing the composition of committee members, strengthening ethical training and assessment, establishing emergency response systems, opening green channels, strengthening pre-review communication, establishing emergency response systems, opening green channels, strengthening formal review, increasing publicity, and improving ethical awareness.Conclusions:Clarifing the division of responsibilities and strengthen multi-department interaction can effectively improve the efficiency of ethics review. Optimizing the structure of ethics committee, strengthen the training and assessment of members, can effectively enhance the ability of ethics committee review. Unifing the list of documents, optimizing the work flow and the way of examination can effectively shorten the period of ethical examination. It is suggested that continuous ethical training and assessment should be carried out, that an information-based platform system should be used to achieve dynamic supervision, and that a certification system and assessment mechanism for ethics committees should be established at the national level, to promote the improvement of the ability of ethical review.
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The “hospital-community” hospice care model involves multiple stakeholders,including demander,executor,leader,and fundraiser of medical and health services.The degree of benefit correlation,policy influence,and implementation willingness of various stakeholders were analyzed to provide reference for terminal cancer patients to obtain continuous,convenient,and high-quality hospice care.Health department and medical insurance department are the main driving forces for cross-institutional hospice care,but there are differences in their driving paths.The financial department is an important guarantor of policy implementation,and needs to ensure that its core interests are not lost.Community medical institutions are an important driving factor for policy implementation,but they require policy support and hospital drive. Medical staff in hospitals and communities,have weak willingness to implement policies,which can easily become obstacles to policy implementation in the absence of incentive and compensation mechanisms.Patients and their caregivers are important beneficiaries,but lack of publicity,education,and interactive communication can also lead to rejection and contradiction.Therefore,it is necessary to leverage the collaboration and coordination between policy enforcement departments,innovate the development model of hospitals,lead community medical institutions,and promote interactive communication and decision-making sharing of “doctor-doctor” and “doctor-patient”.
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Plasmodium falciparum malaria, caused by Plasmodium falciparum infection, is an Anopheles mosquito-transmitted infectious diseases, which predominantly occurs in tropical areas of Africa. P. falciparum malaria is characterized by complex and atypical clinical manifestations, and high likelihood of misdiagnosis and missing diagnosis, and may be life-threatening if treated untimely. This case report presents the diagnosis and treatment of a P. falciparum malaria case with acute abdominal pain as the first symptom.
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@#Objective To investigate the risk factors and prevention strategies of postoperative delirium in Stanford B aortic dissection. Methods Clinical data of the patients diagnosed with Stanford B aortic dissection and undergoing endovascular aortic repair from January 2020 to August 2021 in our department were retrospectively collected. Patients were divided into a non-delirium group and a delirium group according to the presence of postoperative delirium. The risk factors for postoperative delirium after Stanford type B aortic dissection and the protective effect of dexmedetomidine on delirium were analyzed. Results A total of 659 patients with Stanford type B aortic dissection were enrolled, including 540 males and 119 females with a median age of 58.00 (41.00, 75.00) years. There were 450 patients in the non-delirium group, and 209 patients in the delirium group. There was no statistical difference in gender, body mass index, hypertension, hyperlipidemia, smoking and drinking history, cholesterol triglyceride level, or creatinine glomerular filtration rate (P>0.05). Age was an independent risk factor for postoperative delirium in Stanford type B aortic dissection (OR=1.392, 95%CI 1.008-1.923, P=0.044). Moreover, whether dexmedetomidine was used or not had no effect on the duration of postoperative delirium (χ2=4.662, P=0.588). Conclusion Age is an independent risk factor for postoperative delirium in patients with Stanford type B aortic dissection. The incidence of postoperative delirium in young patients is lower than that in the patients with middle and elderly age, and it may be of reference value to prevent postoperative delirium. Dexmedetomidine has no significant effect on controlling the duration of postoperative delirium.
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ObjectiveTo investigate the efficacy and safety of cryoablation combined with Camrelizumab monoclonal antibody in the treatment of hepatocellular carcinoma (HCC). MethodsA total of 103 HCC patients who were admitted to our hospital from June 2020 to June 2023 were enrolled and randomly divided into combined treatment group with 53 patients and control group with 50 patients. The patients in the control group received percutaneous argon-helium cryoablation, and those in the combined treatment group received percutaneous argon-helium cryoablation combined with Camrelizumab monoclonal antibody. The two groups were compared in terms of short-term response, changes in T lymphocyte subsets after treatment, changes in liver function and alpha-fetoprotein (AFP) after treatment, and progression-free survival and overall survival during follow-up. The t-test was used for comparison of normally distributed continuous data between groups, and the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to plot survival curves, and the log-rank test was used for comparison of survival time between the two groups. ResultsThe combined treatment group had significantly higher overall response rate and disease control rate than the control group (χ2=4.156 and 4.348, P=0.042 and 0.037). After treatment, the combined treatment group had significant increases in the percentages of CD3+ and CD4+ T lymphocytes and CD4+/CD8+ ratio (P<0.05) and a significant reduction in the percentage of CD8+ T lymphocytes (P<0.05), while the control group had no significant changes in T lymphocyte subsets after treatment (P>0.05), and compared with the control group after treatment, the combined treatment group had significantly higher percentages of CD3+ and CD4+ T lymphocytes and CD4+/CD8+ ratio (all P<0.05) and a significantly lower percentage of CD8+ T lymphocytes (P<0.05). After treatment, both groups had significant reductions in the levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), and AFP (all P<0.05) and a significant increase in the level of albumin (Alb) (P>0.05), and compared with the control group after treatment, the combined treatment group had significantly lower levels of ALT, AST, and AFP (all P<0.05) and a significantly higher level of Alb (P<0.05). There were no significant differences in the incidence rates of grade Ⅲ—Ⅳ (moderate to severe) adverse reactions between the two groups (P>0.05). Compared with the control group, the combined treatment group had significantly better median progression-free survival (21.32 months vs 15.31 months, χ2=4.689, P=0.030) and median overall survival (28.36 months vs 20.75 months, χ2=5.030, P=0.025). ConclusionArgon-helium cryoablation combined with Camrelizumab monoclonal antibody can effectively improve short-term response, enhance immune function, and prolong survival time, with a favorable safety profile.
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OBJECTIVE To establish high performance liquid chromatography (HPLC) fingerprint of Xiaohe syrup and determine the contents of 10 effective ingredients in them. METHODS With 12 batches of Xiaohe syrup as samples, ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was adopted with Athena C18 (250 mm×4.6 mm, 5 μm) as the chromatographic column, acetonitrile-0.1% phosphoric acid aqueous solution as mobile phase for gradient elution. The flow rate was 1.0 mL/min, and the detection wavelength was 210 nm. Similarity Evaluation System for Traditional Chinese Medicine Chromatographic Fingerprint (2012A version) was imported to establish the fingerprint of Xiaohe syrup and evaluate the similarity. The content determination was performed on ACQUITY UPLC BEH C18( 100 mm×2.1 mm, 1.7 μm) chromatographic column, with 0.01% formic acid acetonitrile-0.01% formic acid water as mobile phase for gradient elution at a flow rate of 0.4 mL/min; combined with high-resolution mass spectrometer, positive and negative ions were scanned with an electric spray ion source to determine the content of each main component in 12 batches of Xiaohe syrup. RESULTS A total of 33 common peaks were calibrated in 12 batches of samples, with similarities greater than 0.97; 10 chromatographic peaks were confirmed, namely flavonoid glycosides, paeoniflorin, ferulic acid, naringin, rosmarinic acid, neohesperidin, salvianolic acid B, tetrahydropalmatine, saikosaponin A, and saikosaponin D. The results of content determination showed that the above 10 components had good linear relationships within their respective mass concentration ranges (all R 2>0.999), with contents ranging from 0.35 to 0.64, 3.15 to 5.61, 0.11 to 0.17, 1.68 to 3.17, 1.59 to 1.90, 1.15 to 1.64, 0.78 to 1.48, 0.11 to 0.26, 0.06 to 0.13, and 0.33 to 0.61 mg/mL, respectively. CONCLUSIONS The main components of 12 batches of Xiaohe syrup are similar, but the contents vary; HPLC fingerprint and UPLC-MS/MS content determination method established in this study can be used for comprehensive quality evaluation of Xiaohe syrup.
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Objective:To discuss the effect of royal jelly acid(10-HDA)on the proliferation and migration of the human colon cancer SW620 cells based on the network pharmacology,and to clarify its related molecular mechanism.Methods:The active ingredients such as 10-HDA and their corresponding targets were retrieved by using the keyword"royal jelly"from the Traditiomal Chinese Medicine Systems Pharmacology(TMSCP)Database and the Traditiomal Chinese Medicine Integrated Database(TCMID);the small molecule targets were predicted by the Swiss Target Prediction Database.The GeneCards Database and the Online Mendelian Inheritance in Man(OMIM)Database were used to obtain the targets with the keyword"Colon Cancer";the protein-protein interaction(PPI)network was constructed by using the String Database and Cytoscape 3.8.0 Software to screen the core targets;the Gene Ontology(GO)function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)signaling pathway enrichment analysis were analyzed by Metascape Database;the specific ingredient 10-HDA was screened for the in vitro activity experiments.The human colon cancer SW620 cells with good growth status were divided into control group and different doses(1,5,10,15,and 20 mmol·L-1)of 10-HDA groups.The viabilities of the cells in various groups were detected by MTT method and the survival rates of the cells were calculated.The SW620 cells were divided into control group,low dose(5 mmol·L-1)of 10-HDA group,middle dose(10 mmol·L-1)of 10-HDA group,and high dose(15 mmol·L-1)of 10-HDA group;Hoechst33342 staining method was used to observe the morphology of the cells in various groups;cell scratch test was used to detect the scratch healing rates of the cells in various groups;flow cytometry was used to detect the percentages of the cells at different cell cycles in various groups;biochemical method was used to detect the activities of total antioxidant capacity(T-AOC)and superoxide dismutase(SOD)in the cells in various groups;Western blotting method was used to detect the expression levels of B-cell lymphoma 2(Bcl-2),Bcl-2-associated X protein(Bax),cysteine-containing aspartate proteolytic enzyme-3(Caspase-3),cysteine-containing aspartate proteolytic enzyme-9(Caspase-9),glycogen synthase kinase 3β(GSK3β),β-catenin,and cyclin D1 proteins in the cells in various groups.Results:Six active ingredients of royal jelly were screened out by the TCMSP Database,and 28 core targets of 10-HDA in the treatment of colon cancer were obtained.The GO function enrichment analysis mainly included the signaling pathways such as cell proliferation and apoptosis.The KEGG signaling pathway enrichment analysis included the cell cycle,prostate cancer,cell senescence,and p53 signaling pathways;the GSK3β/β-catenin signaling pathway was closely related to the cell cycle.Compared with control group,the viabilities of the cells in 5,10,15,and 20 mmol·L-110-HDA groups were decreased in a dose-dependent manner(P<0.05 or P<0.01),the numbers of apoptotic cells in different doses of 10-HDA groups were significantly increased,and the scratch healing rates of the cells were significantly decreased(P<0.05 or P<0.01);the percentages of the cells at S phase in middle and high doses of 10-HDA groups were significantly increased(P<0.05 or P<0.01),the activities of T-AOC and SOD in the cells in different doses of 10-HDA groups were significantly decreased(P<0.05 or P<0.01).Compared with control group,the expression level of Bcl-2 protein in the cells in low dose of 10-HDA group was significantly decreased(P<0.01),and the expression level of GSK3β protein was significantly increased(P<0.05);compared with control group,the expression levels of Bax,Caspase-3,Caspase-9,and GSK3β proteins in the cells in middle and high doses of 10-HDA groups were significantly increased(P<0.05 or P<0.01),and the expression levels of Bcl-2,β-catenin,and CyclinD1 proteins were significantly decreased(P<0.01).Conclusion:10-HDA can significantly inhibit the proliferation and migration of the colon cancer cells and promote the apoptosis and oxidation levels of the colon cancer cells,and its mechanism may be related to the activation of the GSK3β/β-catenin signaling pathway.
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Objective To establish an early prediction model for the diagnosis of severe acute pancreatitis based on the improved machine learning models,and to analyze its clinical value.Methods A case-control study was conducted on 352 patients with acute pancreatitis admitted to the Gastroenterology and Hepatobiliary Surgery Departments of the Army Medical Center of PLA and Emergency and Critical Care Medicine Department of No.945 Hospital of Joint Logistics Support Force of PLA from January 2014 to August 2023.According to the severity of the disease,the patients were divided into the severe group(n=88)and the non-severe group(n=264).The RUSBoost model and improved Archimead optimization algorithm was used to analyze 39 routine laboratory biochemical indicators within 48 h after admission to construct an early diagnosis and prediction model for severe acute pancreatitis.The task of feature screening and hyperparameter optimization was completed simultaneously.The ReliefF algorithm feature importance rank and multivariate logistic analysis were used to analyze the value of the selected features.Results In the training set,the area under curve(AUC)of the improved machine learning model was 0.922.In the testing set,the AUC of the improved machine learning model reached 0.888.The 4 key features of predicting severe acute pancreatitis based on the improved Archimedes optimization algorithm were C-reactive protein,blood chlorine,blood magnesium and fibrinogen level,which were consistent with the results of ReliefF algorithm feature importance ranking and multivariate logistic analysis.Conclusion The application of improved machine learning model analyzing the laboratory examination results can help to early predict the occurrence of severe acute pancreatitis.