Based on the new trend of transition from information service to knowledge service currently emerging in the field of information service,the paper presents the construction of a knowledge service system based on clinical data center.It introduces the architecture of the system,analyzes its features,describes its application effect and discusses the issues to be concerned for the further development of the knowledge service system in the future.

AIM:To investigate the effects of progranulin (PGRN) on the proliferation, apoptosis and inflammatory responses in lipopolysaccharide (LPS)-induced human alveolar epithelial A549 cells and HPAEpiC cells.METHODS:The cells were divided into 4 groups:control group (the normal cultured cells), LPS group [the cells were treated with LPS (10 mg/L)], PGRN+LPS group (the cells were transfected with pcDNA3.1-PGRN plasmids and then treated with LPS), and pcDNA3.1+LPS group (the cells were transfected with pcDNA3.1-EGFP plasmids and then treated with LPS).The cell viability was measured by MTT assay, cell proliferation was measured by BrdU incorporation assay, and cell apoptosis was analyzed by flow cytometry.The expression of PGRN at mRNA and protein levels was detected by RT-qPCR and Western blot.The protein levels of caspase-3, Bcl-2, Bax, IL-1β, IL-6, TNF-α, p65 and p-IκB-α were determined by Western blot.RESULTS:Compared with control group, the cell proliferation rate was decreased (P<0.05), and the apoptotic rate was increased (P<0.05) in LPS group.The protein levels of caspase-3 and Bax were significantly up-regulated (P<0.05), and the expression of Bcl-2 was down-regulated (P<0.05).The protein levels of IL-1β, IL-6 and TNF-α were significantly up-regulated (P<0.05), and the protein levels of p65 and p-IκB-α were enhanced (P<0.05).Compared with LPS group, the cell proliferation rate was increased (P<0.05), and the apoptotic rate was decreased (P<0.05) in PGRN+LPS group.The protein levels of caspase-3 and Bax were significantly down-regulated (P<0.05), and the expression of Bcl-2 was up-regulated (P<0.05).The protein levels of IL-1β, IL-6 and TNF-α were significantly down-regulated (P<0.05), and the protein levels of p65 and p-IκB-α were decreased (P<0.05).CONCLUSION:PGRN over-expression may alleviate LPS-induced abnormal proliferation, apoptosis and inflammatory cytokine production in the A549 cells and HPAEpiC cells, which may be associated with the regulation of NF-κB signaling pathway.

Objective To compare the variation of ferulic acid contents in Naomaitong by different extraction processes.Methods With ethanol or water as extracting solvent,the four herbal medicines of Rhizoma Chuanxiong,Radix Ginseng,Radix Puerariae,Radix et Rhizoma Rhei,which consisted of Naomaitong prescription,were decocted together or decocted separately firstly then mixed together were evaluated.With ferulic acid extraction rate as the index,the above extraction processes were evaluated.Results The extraction rate of ferulic acid extracted by alcohol was higher than that by water,but the ferulic acid content showed no obvious difference by decocting together or decocted separately firstly then mixed together.Conclusion It is suggested that proper extraction solvents and extraction methods should be adopted according to the different physicochemical characteristics of chemical contents in herbal medicine during extraction.

OBJECTIVEIt aims to investigate the changes in composition and structure of bacterial communities developing on biological activated carbon (BAC) particles, and the bacterial functions.

METHODA pilot plant had been in service for 180 days, aiming to develop bacterial communities on activated carbon naturally. After 180 days of operation, the bacterial communities were determined by denaturing gradient gel electrophoresis (DGGE) analyses of PCR-amplified 16S rRNA genes. The study on community composition and the phylogenetic relationships of the organisms was complemented by a sequence analysis of cloned PCR products from 16S rRNA genes. Gas chromatography-mass (GC-MS) measurement was used to determine organic chemical composition of inflow and outflow water on the 300th day. TOC and NH(4)(+)-N were also tested in this experiment.

RESULTSIt showed that the stable bacterial structure did not develop on BAC particles until the 9th month during running time of the BAC filter. The communities were finally dominated by Pseudomonas sp., Ba-cillus sp., Nitrospira sp., and an uncultured bacterium. Stable bacterial communities played an important role in removal of NH(4)(+)-N and total organic carbon (TOC). Results from gas chromatography-mass (GC-MS) showed that 36 kinds of chemicals in feed water were eliminated, and concentrations of 5 kinds of chemicals decreased. These chemicals served as nutrients for the dominant bacteria.

CONCLUSIONThe findings from the study suggested that the stability of microbial structure was beneficial for improving NH(4)(+)-N and TOC removal efficiencies. The dominant bacteria had the advantage of biode-grading a wide range of organic chemicals and NH(4)(+)-N.

Ammonia ; chemistry ; Bacteria ; classification ; genetics ; Biofilms ; Carbon ; chemistry ; Filtration ; instrumentation ; methods ; Microscopy, Electron, Scanning ; Pilot Projects ; Waste Disposal, Fluid ; instrumentation ; methods ; Water Microbiology ; Water Purification ; instrumentation ; methods ; Water Supply ; standards

Electronic data capture(EDC) plays an important role in improving the quality of clinical research.The authors introduced the main functions of EDC and the use flow, then from its core function, analyzed the role of EDC in improving the quality of clinical research and scientific research management. Then they proposed the thinking of finding and solving problems from EDC " big data".Their efforts aim at enabling research administrators in extending clinical research management scope and management quality.

The construction of medical knowledge platform is a core value of the intelligent construction of electronic medical records. The hospital-wide knowledge base construction covers a wide range of content, including multiple healthcare scenarios such as medicine, testing, inspection, surgery, blood transfusion and nursing. This article introduced how Jiangsu Province People′s Hospital used knowledge graphs and rule engine to construct a hospital knowledge management platform, realize the integration of knowledge-based knowledge base and a non-knowledge-based knowledge base, and embed clinical diagnosis and treatment rules into the information system for different flexible application scenarios.Finally, a multi-dimensional knowledge base was formed to realize the unified knowledge information integration of various clinical expert knowledge, and to provide integrated display and decision support for all departments, as well as realizing real-time data verification, prompting and control in each link.

Objective:To investigate the feasibility of deep learning radiomics model in the prediction of neoadjuvant chemotherapy (NAC) response in breast cancer based on ultrasound images at an early stage.Methods:Between January 2018 and June 2021, 218 patients with breast cancer who underwent NAC were enrolled in the retrospective study. All patients received a full cycle of NAC before surgery and underwent standard ultrasound examination before NAC and after the second cycles of NAC. Of all the patients, 166 patients came from institution 1 (the First Affiliated Hospital of Nanjing Medical University) were allocated into a primary cohort.Based on the architecture of Resnet 50 convolutional neural, a deep learning prediction model was built.Further validation was performed in an external testing cohort ( n=52) from institution 2 (General Hospital of Eastern Theater Command, PLA). The clinical model was constructed using independent clinical variables. To evaluate the predictive performance, areas under the curve (AUCs) of these models and two radiologists were compared by using the DeLong method. Results:The Resnet 50 model predicted the response of NAC with accuracy. The deep learning model, achieving an AUC of 0.923 (95% CI=0.884-0.962) in the primary cohort and an AUC of 0.896 (95% CI=0.807-0.980) in the test cohort, outperformed the clinical model and also performed better than two radiologists′ prediction (all P<0.05). Furthermore, the two radiologists achieved a better predictive efficacy (AUC 0.832 and 0.808 for radiologists 1 and 2, respectively) when assisted by the DL model (all P<0.01). Conclusions:The deep learning radiomics model is able to predict therapy response in the early-stage of NAC for breast cancer patients, which could guide clinicians and provide benefit for timely treatment strategy adjustment.

ObjectiveTo count and analyze the toxic traditional Chinese medicines and their characteristics in Chinese Materia Medica， so as to provide reference for the development and application of toxic drugs. MethodThe traditional Chinese medicines included in Chinese Materia Medica were screened one by one， and the inclusion criteria were "drug properties"， "usage and dosage" and "major poison， highly poisonous， poisonous， slightly poisonous， slightly poisonous" appearing in ancient books. Standard toxic traditional Chinese medicines were entered into an excel sheet for statistical analysis. ResultA total of 1 408 toxic Chinese medicines were included. The properties and flavors were mainly cold， bitter， pungent and sweet； the main meridians were liver， lung， spleen and stomach； the root， whole grass and leaves were the most used medicinal parts， and there were many toxic drugs. The pre-treatment methods are mainly sun-dried， fresh， fried， calcined， and sunburned； the efficacy categories are mainly heat-clearing drugs， rheumatism drugs， blood-activating and stasis-removing drugs； oral administration methods are mainly decoctions， pills， and powders ， mainly for external application， dipping， and coating； the dosage for oral administration is mostly 9-15 g， 3-9 g， 3-6 g， and an appropriate amount is mainly for external use. ConclusionThere are many toxic Chinese medicines clearly recorded in Chinese Materia Medica， but only 83 kinds of clearly toxic Chinese medicines are included in Chinese Pharmacopoeia， which need to be further strengthened by experimental observation and clinical data verification. The clinical application of toxic traditional Chinese medicine is mainly based on heat toxin blood syndrome and rheumatic arthralgia， which is closely related to its nature， taste and meridian return. Able to move， has the effect of activating Qi and activating blood， "sweet" can replenish energy and slow down， and has the effect of tonic， alleviation and pain relief， and mostly used for the treatment of heat syndrome， blood syndrome and arthralgia syndrome. However， there are certain limitations in the classification and processing conditions of toxic traditional Chinese medicines， which need to be further improved and scientifically verified.

ObjectiveTo collect and analyze the properties and application characteristics of external use of roots and rhizomes of Chinese herbal medicines in the Chinese Materia Medica（《中华本草》） to provide data references for the research on clinical external use of Chinese medicine， in order to provide data reference for clinical external use of traditional Chinese medicine（TCM）. MethodThe Chinese herbal medicines included in the Chinese Materia Medica were systematically screened. The inclusion criterion was the explicit mention of terms like "root", "rhizome", "root bark", "tuber", "tuberous root", etc. under the "Source" in the Chinese Materia Medica. Information on properties, flavors, meridian tropism, medicinal parts, fresh use, toxicity, efficacies and indications, and dosage of roots and rhizomes of Chinese herbal medicines was collected. The information was then entered into an Excel spreadsheet for statistical analysis. ResultThe Chinese Materia Medica records 2 662 roots and rhizomes of Chinese herbal medicines, of which 1 653 are suitable for external use. The predominant properties and flavors are cool, cold, bitter, pungent, and sweet. These Chinese herbal medicines mainly act on the liver, lung, and spleen meridians. The primary medicinal parts used include root, rhizome, and root bark. More than half of the roots and rhizomes of Chinese herbal medicines can be used in their fresh form. The main efficacies include clearing heat, removing toxins, resolving stasis, dispersing accumulation, resolving blood stasis and stopping bleeding, reducing swelling and alleviating pain, dispelling dampness and relieving pain. The main indications are skin sores, traumatic injuries, and rheumatic diseases. Common external application methods include poultice, decoction for washing, and applying powdered form. Most of these Chinese herbal medicines lack specific dosage guidelines for external use, with an emphasis on using an appropriate amount. ConclusionThe Chinese Materia Medica contains a wide range of roots and rhizomes of Chinese herbal medicines suitable for external use, with definite therapeutic effects, providing a broad perspective for the application of Chinese medicine externally. However, there are still problems such as unclear dosages and limited research. Further studies are necessary to better utilize the advantages of the external use of Chinese medicine.

Hepatic ascites is one of the common and difficult complications in the decompensated stage of liver cirrhosis， and its incidence is increasing. In clinical practice， the prognosis of patients with hepatic ascites after surgery is worse， and the disease is recurrent. Traditional Chinese medicine （TCM） has certain advantages in treating hepatic ascites. However， there is no uniform standard for the preparation of animal models of hepatic ascites in accordance with TCM evidence. Therefore， this paper summarized the literature on animal models of hepatic ascites and analyzed the existing animal models of hepatic ascites based on the clinical diagnostic criteria of hepatic ascites in TCM and western medicine. The results show that the commonly used modeling methods for hepatic ascites mainly include the single-factor method， composite factor induction method， surgical method， and immunization method. Most of them are guided by western medicine theories， and their pathogenic mechanisms are mostly consistent with those of western medicine and are different from TCM evidence. Therefore， it is suggested that TCM intervening factors should be imposed in the process of model preparation， so as to prepare an animal model of hepatic ascites that meets the clinical evidence characteristics of TCM and western medicine.