This study aims to investigate the medication rules of patented traditional Chinese medi-cine(TCM)compound formulas and molecular mechanisms of core drugs for treating sepsis using data mining and network pharmacology approaches.In the present study,we first searched the PubMed database,Web of Science database,and the China National Knowledge Infrastructure(CNKI)since the establishment of the library to April 30,2024 for the relevant literature on the treatment of sepsis by traditional Chinese medicine.The prescriptions were then statistically ana-lyzed for drug frequency and association analysis to obtain the core drugs.Then we screened the ef-fective active ingredients of the core drugs by TCMSP and other database platforms,obtained sep-sis-related genes in GeneCards and other databases,and statistically intersected targets,and predic-ted the mechanism of action of the core TCMs by subjecting the intersected targets to PPI analy-sis,GO function and KEGG pathway enrichment analysis.Finally,the relationship between key tar-gets and herbal components was examined in reverse by molecular docking method.The results showed that 64 compound formulas were obtained,with a total of 150 Chinese medicines,which were mostly sweet in taste,cold in nature,and belonged to the spleen,stomach and intestinal me-ridians.According to the association rules,the core drugs were identified as"mirabilite-peach ker-nel-rheum officinale".There were 79 intersecting targets between the core drugs and sepsis,with core targets such as IL-1β,EGFR and SRC.MAPK,TNF,IL-17 and other signaling pathways are involved to mediate inflammatory responses,apoptosis and other biological processes to exert ther-apeutic effects on sepsis.The molecular docking results indicated that the docking activity of the key targets with the main components of the drug,and sennoside E_qt has the lowest binding ener-gy and the best docking activity with SRC.In conclusion,this study showed that the prescription of Chinese medicine for sepsis is mostly based on tonifying the spleen and clearing heat.The mecha-nism of action of the core drug"mirabilite-peach kernel-rheum officinale"in the treatment of sep-sis is multilevel and multifaceted,which provides a certain theoretical basis for the treatment of sepsis by traditional Chinese medicine.

This study aims to investigate the medication rules of patented traditional Chinese medi-cine(TCM)compound formulas and molecular mechanisms of core drugs for treating sepsis using data mining and network pharmacology approaches.In the present study,we first searched the PubMed database,Web of Science database,and the China National Knowledge Infrastructure(CNKI)since the establishment of the library to April 30,2024 for the relevant literature on the treatment of sepsis by traditional Chinese medicine.The prescriptions were then statistically ana-lyzed for drug frequency and association analysis to obtain the core drugs.Then we screened the ef-fective active ingredients of the core drugs by TCMSP and other database platforms,obtained sep-sis-related genes in GeneCards and other databases,and statistically intersected targets,and predic-ted the mechanism of action of the core TCMs by subjecting the intersected targets to PPI analy-sis,GO function and KEGG pathway enrichment analysis.Finally,the relationship between key tar-gets and herbal components was examined in reverse by molecular docking method.The results showed that 64 compound formulas were obtained,with a total of 150 Chinese medicines,which were mostly sweet in taste,cold in nature,and belonged to the spleen,stomach and intestinal me-ridians.According to the association rules,the core drugs were identified as"mirabilite-peach ker-nel-rheum officinale".There were 79 intersecting targets between the core drugs and sepsis,with core targets such as IL-1β,EGFR and SRC.MAPK,TNF,IL-17 and other signaling pathways are involved to mediate inflammatory responses,apoptosis and other biological processes to exert ther-apeutic effects on sepsis.The molecular docking results indicated that the docking activity of the key targets with the main components of the drug,and sennoside E_qt has the lowest binding ener-gy and the best docking activity with SRC.In conclusion,this study showed that the prescription of Chinese medicine for sepsis is mostly based on tonifying the spleen and clearing heat.The mecha-nism of action of the core drug"mirabilite-peach kernel-rheum officinale"in the treatment of sep-sis is multilevel and multifaceted,which provides a certain theoretical basis for the treatment of sepsis by traditional Chinese medicine.

Objective:To compare the detection method of hepatitis E virus (HEV) in simulated water samples, and to provide a reference for the detection of HEV in water.Methods:HEV fecal suspension was added to tap water or distilled water simulated water samples, and pretreatment was carried out by electropositive filter-organic eluent elution method (Method 1) to compare the extraction effect of the three nucleic acid extraction kits, A, B, and C. The simulated water samples were pre-treated by Method 1, 2 (electropositive filter-direct lysis method), 3 (tangential-flow ultrafiltration membrane-organic eluent elution method), and 4 (tangential-flow ultrafiltration membrane-direct lysis method) for pretreatment, A kit for nucleic acid extraction, Real time RT-PCR method for detection and comparison of the recovery rate; comparison of the recovery rate of different concentrations of HEV in simulated water samples; comparing the inhibitory effects of inhibitors in tap water samples on real time RT-PCR; and detection of HEV in different batches of tap water specimens.Results:Kit A nucleic acid extraction was better; the recoveries of method 1, 2, 3 and 4 were 7.31%, 39.88%, 6.85% and 64.88%, respectively, which showed a statistically significant difference in the recoveries ( F=114.069, P<0.001). The recoveries of method 4 with the addition of high, medium and low concentrations of HEV were 65.26%, 42.76% and 32.79%, respectively. The inhibition of all four pre-treatment method was less than 75%, which meets the requirements of ISO (15216-2∶2019). Twenty tap water specimens were tested for HEV and the result were negative. Conclusions:This study showed that the two membranes better recovered in combination with direct lysis, respectively; Methods 4 had a higher recovery in the detection of HEV in small volumes of distilled or tap water, but it was limited by the volume of water samples, turbidity, and so on. Suitable method can be selected for different water quality and laboratory conditions.

Objective:To optimize and compare method for hepatitis E virus (HEV) nucleic acid detection from pig liver, and provide technical references for HEV detection in animal viscera specimens.Methods:Three methods (PBS homogenization treatment, proteinase K treatment, chloroform extraction method) were used to pretreat and extract viral nucleic acid form pig liver, which was artificially contaminated with HEV fecal suspensions, and HEV RT-qPCR was used to compare the HEV recovery rate and inhibition rate. The optimized HEV method was applied to commercially available pig liver specimens, and HEV genotyping was performed on positive specimens.Results:The HEV recovery rate of PBS homogenization treatment, proteinase K treatment and chloroform extraction method was 9.88%, 0.19% and 17.28%, respectively. The recovery rate of proteinase K treatment was less than 1%, and it was discarded; t-test was performed to compare recovery rates of the other two methods, which showed statistically significant differences ( t=26.801, P<0.001), the chloroform extraction method had a higher recovery rate. The inhibition rates of the three methods were all less than 75%, within the range of the ISO/TS 15216-2∶2019 standard. Among 192 commercially available pig liver specimens, 17 specimens were detected positive for HEV RNA, with a nucleic acid positive rate of 8.85%; five specimens were successfully genotyped for HEV, all of which were genotype 4. Conclusions:The virus recovery effect was good when chloroform extraction method was used for pig liver pretreatment; moreover, this method could detect HEV RNA from commercially available pig livers, which indicate that it can be used for virus detection in food.

Objective:To build the standardized knowledge base for hierarchical prevention care of neonatal hypoglycemia based on the risk prediction model of neonatal hypoglycemia, and to provide a decision-making basis for risk management to achieve predicitive neonatal hypoglycemia.Methods:Based on the best evidence summarized in strategies for the prevention and management of neonatal hypoglycemia published in 2020, evidence on the prevention and management of neonatal hypoglycemia was searched from BMJ Best Practice, UpToDate, Registered Nurses Association of Ontario, CNKI and other domestic and foreign databases and professional association websites. The retrieval period was from September 1, 2019 to August 31, 2022. The quality of newly included literature was evaluated, new evidence was extracted, and the best evidence in the prevention and management strategy of neonatal hypoglycemia published in 2020 was summarized and combined to form the first draft of the knowledge base. Experts in the field of neonatal nursing were invited to revise and discuss each item of the knowledge base, and the final draft of the knowledge base was formed. The final draft of the knowledge base was coded using the 2.5 version of the Clinical care classification system as the standardized language.Results:The risk prediction model of neonatal hypoglycemia was used as a grading tool, the final draft of the knowledge included 1 nursing diagnosis, 6 modules and 18 specific preventive nursing measures.Conclusions:The knowledge base for hierarchical prevention care of neonatal hypoglycemia based on risk prediction model can realize the prospective hierarchical nursing of neonatal hypoglycemia, which is scientific and practical, and is the basis to assist nurses to make clinical decisions.

Objective:The two detection method for the detection of hepatitis A virus (HAV) in strawberries were optimized and compared to select the best detection method for the detection of hepatitis A virus in strawberries.Methods:Different concentrations of HAV were inoculated on the surface of known negative frozen strawberry specimens, the concentration of beef extract powder in alkaline elution-PEG concentration method was optimized, the optimal nucleic acid extraction kit was selected, the optimal lysis buffer volume in direct lysis method was optimized, and the recovered viral load was detected by Real-time fluorescence quantitative RT-PCR. SPSS26.0 was used to statistically analyze the data, and the optimized two method were used for the detection of actual specimens.Results:The concentration of beef extract powder by the optimized alkaline elution-PEG concentration method was selected at 3%, and the viral nucleic acid extraction kit was selected as kit B. Six ml of lysis buffer was selected for the optimized direct lysis method. The recovery rates of HAV virus by alkaline elution-PEG concentration and direct lysis were compared with the HAV addition levels, and the HAV virus recovery rates of the two method were 21.50±1.06% and 5.82±0.01%, respectively, and the result showed that the differences were statistically significant. A total of 60 strawberry specimens from four regions were tested at the same time, and the result were all negative.Conclusions:The optimized alkaline elution-PEG concentration method has higher sensitivity and is more suitable for the detection of HAV in strawberry specimens.

Objective:To establish a digital droplet RT-PCR(dRT-PCR) method for Hepatitis A virus (HAV), and compare it with Real time RT-PCR(RT-qPCR) method, and select the best method for detecting hepatitis A virus in strawberry.Methods:Extract HAV vaccine RNA, optimize the reaction conditions of dRT-PCR and evaluate its specificity; Alkaline elution -PEG concentration method was used to extract nucleic acid from strawberry samples. At the same time, dRT-PCR and RT-qPCR method were used to detect the sensitivity and inhibition rate of HAV vaccine RNA in pure water and strawberry matrix, and the recovery rate of HAV in artificially contaminated strawberry was compared, which was applied to the detection of commercially available samples.Results:The optimal annealing temperature for dRT-PCR reaction was 60 ℃, and the optimal concentrations of primers and probes were 0.4 μmol/L、0.4 μmol/L and 0.2 μmol/L, with good specificity. There is no significant difference in sensitivity between the two method in detecting HAV vaccine RNA in pure water and strawberry matrix. The inhibition rate of dRT-PCR is low. The recovery rates of dRT-PCR and RT-qRCR in the detection of strawberry samples contaminated with HAV at higher concentrations were 12.90±0.006% and 30.12±0.02%, respectively. The recovery rates of lower concentrations of HAV contaminated strawberry samples were 18.27±0.07% and 10.85±0.03%, respectively, and the difference was statistically significant ( P<0.05). When strawberry samples on the market were tested, the result of both method were negative. Conclusions:The sensitivity of dRT-PCR method established in this study is not significantly different from that of RT-qPCR in detecting HAV RNA in different substrates, but dRT-PCR has good tolerance to PCR reaction inhibitors and high recovery rate when detecting low concentration HAV. Both detection method can be used for quantitative detection of hepatitis A virus in strawberry, and can be selected according to the actual situation.

Objective:A comparison of method for the detection of hepatitis E virus (HEV) in oysters was performed to provide a technical reference for the detection of HEV in oysters.Methods:After pre-treatment of oyster digestive gland specimens artificially contaminated with HEV fecal suspensions by the proteinase K digestion with reference to the European Union ISO/TS 15216-2∶2019, HEV RNA was extracted by four nucleic acid extraction method and assayed by Real time RT-PCR to compare the HEV recoveries; artificially contaminated oyster digestive gland specimens were pretreated by proteinase K digestion, proteinase K digestion + PEG precipitation, and proteinase K digestion + PEG precipitation + chloroform extraction, respectively, and HEV RNA was extracted by the optimal nucleic acid extraction method, which was assayed by real time RT-PCR to compare the HEV recoveries and inhibition rates of the three pretreatment method. The optimal HEV assay was applied to commercially available oyster specimens.Results:The HEV recoveries of the four nucleic acid extraction methods were 1.37%, 2.50%, 4.24% and 7.56%, respectively, with statistically significant differences ( F=847.220, P<0.001); The HEV recoveries for each of the three pre-treatment method were 6.02%, 13.65% and 21.17%, respectively, with statistically significant differences ( F=16.800, P<0.001), and the proteinase K digestion + PEG precipitation + chloroform extraction method had the highest recovery; the inhibition rates of the three method were 13.38%, 20.98% and 8.66%, respectively, and the differences were statistically significant ( F=20.205, P<0.001), with the lowest inhibition rate for the proteinase K digestion + PEG precipitation + chloroform extraction method. One HEV RNA positive specimen was detected in 120 commercially available oyster specimens. Conclusions:In the HEV detection of oyster specimens, pre-treatment with proteinase K digestion + PEG precipitation + chloroform extraction can improve the recovery of HEV from oysters and is more suitable for pre-treatment of oyster specimens; different manufacturers′ viral nucleic acid extraction method have different HEV recoveries and should be compared and screened for superiority before carrying out the assay.

The pathophysiology of depressive disorder is complex. However, the understanding of its pathogenesis is still relatively limited in previous studies. In recent years, the neuroimmune mechanism has received extensive attention. The bidirectional communication between the central nervous system and the peripheral immune system has been identified to play an important role in depressive disorder. This article reviews the research progress of neuroimmune response in patients with depressive disorders and animal models of depression to raise considerations for the treatment of depressive disorder.

The pathophysiology of depressive disorder is complex. However, the understanding of its pathogenesis is still relatively limited in previous studies. In recent years, the neuroimmune mechanism has received extensive attention. The bidirectional communication between the central nervous system and the peripheral immune system has been identified to play an important role in depressive disorder. This article reviews the research progress of neuroimmune response in patients with depressive disorders and animal models of depression to raise considerations for the treatment of depressive disorder.