Based on the pharmacogenomics theory, this study developed a software system for interpretation of drug gene loci and guidance on clinical safe medication with the purpose of providing clinical guidance on the safety and effectiveness of drug use through accurate and efficient detection and interpretation of drug gene loci. The system infrastructure was built on a service-oriented architecture (SOA) design and Docker container virtualization approach to achieve a rapid and automatic interpretation of genetic results and best available drugs. The front end was established on HTML5 and JavaScript to realize visualization of analysis results and user interaction. The system was tested and validated to show robust performance which is reliable in clinical use. It will show high impact on the development of pharmacogenomics and clinical practice of patients with personalized medicine.
Objective To systematically review the current situation of health economics evaluation of gastric cancer screening. Methods The PubMed, EMbase, The Cochrane Library, Web of Science, CNKI, WanFang Data and VIP databases were electronically searched to collect the health economics evaluation studies on gastric cancer screening from January 1st, 1975 to September 30th, 2021. Two reviewers independently screened the literature, extracted data and assessed the risk of bias of the included studies. Then, qualitative analysis was performed. Results A total of 44 studies were included. Most of the targeted populations of the study were high-risk groups in areas with a high incidence of gastric cancer. Screening methods such as endoscopy and Helicobacter pylori infection detection were mainly evaluated in those studies. According to the results, about 47% of the studies evaluated a single screening method. A total of 35 studies showed that they established models, however, only a few calibrated the models. Conclusion Most studies of gastric cancer screening reviews neither calibrate the results nor consider the effect of smoking on the progression of gastric cancer. Those evaluated screening programs are limited.
ObjectiveTo systematically review the economic evaluation research of anti-novel coronavirus infection drugs at home and abroad, so as to promote clinical rational drug use. MethodsThe PubMed, Cochrane Library, EMbase, Web of Science, INAHTA, SinoMed, WanFang Data, and CNKI databases were systematically searched from January 1, 2020 to March 25, 2023, to collect economic evaluation studies related to anti-novel coronavirus infection drugs. ResultsA total of 22 articles were included, among which 11 studies were conducted from the perspective of health system, and most of the studies performed cost estimation on direct medical costs. The overall compliance rate of the included studies ranged from 42% to 70%, with deficiencies in model setting, incomplete uncertainty analysis, and lack of stakeholder participation. The results showed that immunotherapy drugs (Dexamethasone, Tocilizumab), neutralizing antibody (REGEN-COV antibody), small molecule drugs (Baricitinib, Nirmatrelvir/Ritonavir, Molnupiravir, Favipiravir) and statin were cost-effective. There was some variation in the results of the economic evaluation of Remdesivir. ConclusionAt present, there are few studies on the economic evaluation of drug interventions in COVID-19. Existing studies have pointed out that most drug interventions are cost-effective. It is suggested that more standardized pharmacoeconomic evaluation studies based on the actual situation of China epidemic should be carried out in the future.
ObjectiveTo detect the metabolites of the serum and joint fluid from rabbits’ osteoarthritis model with 1H nuclear magnetic resonance spectroscopy (NMR) technique, study the metabolic differences and connections of serum, synovial and cartilage of rabbits after the articular cavity injection of sodium hyaluronate, and explore osteoarthritis and metabolic mechanism in the process of treating sodium hyaluronate using sodium hyaluronate, thus provide new ideas and basis of the specific mechanisms in the treatment of osteoarthritis via sodium hyaluronate.MethodsWe selected 30 healthy New Zealand white rabbits, 6 months old, and randomly divided them into three groups as follows: blank control group, model phosphate buffer saline (PBS) liquid injection group and model injection of sodium hyaluronate group, with 10 rabbits in each group. Ten weeks after surgery, all experimental animals were put to death and observed in correlation studies regarding general condition, imaging examination, and histological examination. Metabolites 1H NMR detection and data preprocessing were performed in the serum and joint fluid samples.ResultsThe results considering general condition, general sample observation, imaging examination and histology indicated advantages in sodium hyaluronate group over PBS group. Metabolomics analysis showed statistically significant changes of metabolites in the serum and joint fluid compared with the PBS group and the blank control group (P<0.05). According to the relevant ways of differences metabolites retrieval, analysis found that the effect of sodium hyaluronate on osteoarthritis might be related to protein biosynthesis, amino acid circulation, the metabolic process of pyruvic acid, gluconeogenesis and other metabolic pathways.ConclusionsBased on the research of 1H-NMR metabolomics, the results suggest that the effect of sodium hyaluronate on osteoarthritis is mainly related with the activation of protein metabolism, abnormal lipid and energy metabolic pathways. This study provides new ideas and basis on the concrete mechanism in the treatment of knee osteoarthritis using sodium hyaluronate.
ObjectiveTo analyze the protein expression changes in the retina of non-arteritic anterior ischemic optic neuropathy (NAION) in rats.MethodsThe rat NAION (rNAION) model was established by Rose Bengal and laser. Twenty Sprague-Dawley rats were randomly divided into 4 groups, the normal control group, the laser control group, the RB injection control group, and the rNAION model group, with 5 rats in each group. The right eye was used as the experimental eye. The retina was dissected at the third day after modeling. Enzyme digestion method was used for sample preparation and data collection was performed in a non-dependent collection mode. The data were quantitatively analyzed by SWATH quantitative mass spectrometry, searching for differential proteins and performing function and pathway analysis.ResultsCompared with the other three control groups, a total of 184 differential proteins were detected in the rNAION group (expression fold greater than 1.5 times and P＜0.05), including 99 up-regulated proteins and 85 down-regulated proteins. The expressions of glial fibrillary acidic protein, guanine nucleotide binding protein 4, laminin 1, 14-3-3γ protein YWHAG were increased. Whereas the expressions of Leucine-rich glioma-inactivated protein 1, secretory carrier-associated membrane protein 5, and Clathrin coat assembly protein AP180 were decreased. The differential proteins are mainly involved in biological processes such as nerve growth, energy metabolism, vesicle-mediated transport, the regulation of synaptic plasticity, apoptosis and inflammation. Pathway enrichment analysis showed that PI3K-Akt signaling pathway and complement and thrombin reaction pathway was related to the disease.ConclusionThe protein expressions of energy metabolism, nerve growth, synaptic vesicle transport and PI3K-Akt signaling pathway can regulate the neuronal regeneration and apoptosis in NAION.
Objective To systematically evaluate the pharmacoeconomic vaule of chemotherapy combined with rituximab for patients with non-Hodgkin’s lymphomas (NHL). Methods A systematic literature search of cost-effectiveness studies on rituximab treating NHL published from 1998 to 2012 was carried out in following databases: PubMed, ScienceDirect, Health Technology Assessment (HTA) and Cochrane Database of Systematic Reviews (CDSR). And the references of included studies were also retrieved manually. The studies were screened according to the pre-designed inclusion and exclusion criteria, and the incremental cost- effectiveness ratio (ICER) in comparison between chemotherapy plus rituximab and chemotherapy alone was systematically evaluated according to the literature evaluation index system. Results The average ICER of Rituximab treating NHL was 16 318/QALY, 17 688/QALY, and 22 461/QALY in the UK, Mainland Europe, and US, respectively. All the reported ICERs in the included studies were below the implemented country-specific thresholds. Conclusion Based on present foreign literature, the integrated therapy of chemotherapy and rituximab for NHL is supposed to be a better cost-effective therapy with ICER below the implemented country-specific thresholds.
Objective To review the progress of artificial intelligence (AI) and radiomics in the study of abdominal aortic aneurysm (AAA). Method The literatures related to AI, radiomics and AAA research in recent years were collected and summarized in detail. Results AI and radiomics influenced AAA research and clinical decisions in terms of feature extraction, risk prediction, patient management, simulation of stent-graft deployment, and data mining. Conclusion The application of AI and radiomics provides new ideas for AAA research and clinical decisions, and is expected to suggest personalized treatment and follow-up protocols to guide clinical practice, aiming to achieve precision medicine of AAA.
ObjectiveTo summarize the application of radiomics in colorectal cancer.MethodsRelevant literatures about the therapeutic decision-making, therapeutic, and prognostic evaluation of colorectal cancer using radiomics were collected to make an review.ResultsRadiomics is of great value in preoperative stages, therapeutic, and prognostic evaluation in colorectal cancer.ConclusionRadiomics is an important part of precision medical imaging for colorectal cancer.
Diabetic kidney disease, as a common complication of diabetes, is one of the main causes of end-stage renal disease. Because of the rapid progress of its course and the limited means of treatment, it is of great clinical significance to seek biomarkers from early diagnosis for the treatment of diabetic kidney disease. At present, there are limited methods for early diagnosis of diabetic kidney disease. As a widely used research method, metabonomics can detect metabolites in diseases and provide biomarkers for disease diagnosis and prognosis. This article summarizes the changes of amino acids, lipids, organic acids and other metabolites in blood or urine of patients with diabetic kidney disease.
As an important auxiliary means of pharmacoeconomics evaluation, budget impact analysis can effectively measure the affordability of medical insurance fund, and plays a significant role in the process of medical insurance access negotiation, adjustment of medical insurance reimbursement directory and establishment of payment price. The quality of budget impact analysis data has a great impact on the analysis results and the scientific decision-making. When the existing data cannot meet the requirements of the paper, relevant software is needed to carry out Delphi method to ensure the data accuracy. Infopoll is a powerful, easy-to-use application that designs consultation questionnaires by providing multiple question choices and multiple forms of answer settings, as well as detailed statistical charts for results analysis. This paper introduces how to obtain the data of budget impact analysis based on Delphi method using Infopoll software, and analyzes the main results in detail.