This study aimed at comparing the precise powder decoction pieces and market raw TCM slices of P.cacumen over the decocting quality.ITS2 sequence was adopted as a DNA barcode to identify P.cacumen.The chemical composition of the medicinal materials was characterized by HPLC fingerprints for the evaluation of the similarity of precise powder decoction pieces and market TCM slices.The concentrations of quercitrin were determined using UPLC,and the characteristic common peaks were identified.In addition,the extraction efficiency between the market TCM slices and the precise powder decoction pieces was also compared by standard decoction method.It was found that P.cacumen was accurately identified by ITS2 sequences.HPLC fingerprints showed that the extraction efficiency and similarity of the precise powder decoction pieces increased compared with the market TCM slices.However,the extraction yield rate of the precise powder decoction pieces was improved by 20％ increased in accordance with the standard decoction method,while the contents of the index component,quercitrin,presented rare increase and the decocting rates of the other chemical components little change in the study.In conclusion,it was indicated that precise powder decoction pieces improved the extraction efficiency and uniformity in comparison with TCM slices.

This study aimed at evaluating the quality of the precise powder decoction pieces (PPDP) of L.japonicae Flos (LJF) compared with the traditional commercial slices with chemical fingerprint methods and DNA molecular identification technology.Different specifications of PPDP were prepared,their dry extract contents were in contrast with that of commercial slices.The three batches of commercial slices were collected,and the content uniformity,fingerprint and similarity evaluation before and after the mixing and pulverization were studied by HPLC-DAD and DNA sequence alignment.As a result,the paste rate of PPDP was slightly higher than that of the traditional commercial slices.The dissolution of chlorogenic acid of PPDP was higher than that of the traditional commercial slices.RSD of inter-assay dissolutions of chlorogenic acid of commercial slices was 11.93％,which was reduced to 8.29％ after mixing and preparing into PPDP.The fingerprint showed that the slimilarity of the fringerprint of the mixed and powdered LJF was elevated with 7 common peaks.All the common peaks were increased at different levels.In conclusion,compared with traditional commercial slices of LJF,PPDP apparently improved the dissolution rate and the quality uniformity,indicating that the boiled powder of CRP obviously presented vantages in clinic.

Objective:To investigate the influencing factors of hospitalization for pregnant women with influenza A.Methods:From December 2018 to February 2019, 261 pregnant women with influenza A were admitted to Beijing Ditan Hospital, Capital Medical University. The clinical data of age, gestational period, underlying diseases, time from onset to treatment, white blood cell count and lymphocyte count of these patients were collected. Data of out-patients were compared with those of inpatients. Chi-square test and multivariate logistic regression were used to analyze the influencing factors of hospitalization in pregnant women with influenza A.Results:Among the 261 cases of pregnancy with influenza A, 36 cases (13.79%) were hospitalized, of which 10 (27.78%) were hospitalized due to severe influenza complications, the other 26 cases (72.22%) were hospitalized due to pregnancy related adverse events. The proportions of hospitalized patients with age ≥30 years old, gestational period ≥28 weeks, combined with underlying diseases and lymphocyte count <1×10 9/L were 75.00%(27/36), 83.33%(30/36), 16.67%(6/36) and 50.00%(18/36), respectively, which were significantly higher than those of out-patients (47.11%(106/225), 35.56%(80/225), 0.89%(2/225) and 13.22%(16/121), respectively; χ2=9.66, 29.05, 26.00 and 22.12, respectively, all P<0.05). The proportions of inpatients and out-patients with white blood cell count ≥4×10 9/L were 97.22%(35/36) and 97.52%(118/121), respectively, and there was no significant difference ( χ2=0.01, P=0.921). Multivariate logistic regression analysis showed that age ≥30 years (odds ratio ( OR)=5.181, 95% confidence interval ( CI) 1.628-16.489, P=0.005), gestational period ≥28 weeks ( OR=11.054, 95% CI 3.233-37.796, P<0.01), lymphocyte count <1×10 9/L ( OR=6.864, 95% CI 2.237-20.729, P=0.001), and time from onset to treatment <24 h ( OR=0.076, 95% CI 0.012-0.468, P=0.005) were the influencing factors for hospitalization of pregnant women with influenza A. Conclusion:Age ≥30 years old, gestational period ≥28 weeks, lymphocyte count <1×10 9/L and time from onset to treatment <24 h are the influencing factors for hospitalization of pregnant women with influenza A.

Objective To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation(PIRFT)arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.Methods We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance(MR)images of the L5/S1 segments into 7 key structures:L5,S1,Ilium,Disc,N5,Dura mater,and Skin,based on which a needle insertion path planning environment was modeled.Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion,and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to enhance individual case adaptability.By leveraging the proposed skin entry point sampling sub-algorithm and Kambin's triangle projection area sub-algorithm in conjunction with the analytic hierarchy process,and employing various technologies such as ray tracing,CPU multi-threading,and GPU parallel computing,a puncture path was calculated that not only met clinical hard constraints but also optimized the overall soft constraints.Results A surgical team conducted a subjective evaluation of the 21 needle puncture paths planned by the algorithm,and all the paths met the clinical requirements,with 95.24%of them rated excellent or good.Compared with the physician's planning results,the plans generated by the algorithm showed inferior DIlium,DS1,and Depth(P<0.05)but much better DDura,DL5,DN5,and AKambin(P<0.05).In the 21 cases,the planning time of the algorithm averaged 7.97±3.73 s,much shorter than that by the physicians(typically beyond 10 min).Conclusion The multi-constraint optimal puncture path planning algorithm offers an efficient automated solution for PIRFT of the L5/S1 segments with great potentials for clinical application.

Objective To minimize variations in treatment outcomes of L5/S1 percutaneous intervertebral radiofrequency thermocoagulation(PIRFT)arising from physician proficiency and achieve precise quantitative risk assessment of the puncture paths.Methods We used a self-developed deep neural network DWT-UNet for automatic segmentation of the magnetic resonance(MR)images of the L5/S1 segments into 7 key structures:L5,S1,Ilium,Disc,N5,Dura mater,and Skin,based on which a needle insertion path planning environment was modeled.Six hard constraints and 6 soft constraints were proposed based on clinical criteria for needle insertion,and the physician's experience was quantified into weights using the analytic hierarchy process and incorporated into the risk function for needle insertion paths to enhance individual case adaptability.By leveraging the proposed skin entry point sampling sub-algorithm and Kambin's triangle projection area sub-algorithm in conjunction with the analytic hierarchy process,and employing various technologies such as ray tracing,CPU multi-threading,and GPU parallel computing,a puncture path was calculated that not only met clinical hard constraints but also optimized the overall soft constraints.Results A surgical team conducted a subjective evaluation of the 21 needle puncture paths planned by the algorithm,and all the paths met the clinical requirements,with 95.24%of them rated excellent or good.Compared with the physician's planning results,the plans generated by the algorithm showed inferior DIlium,DS1,and Depth(P<0.05)but much better DDura,DL5,DN5,and AKambin(P<0.05).In the 21 cases,the planning time of the algorithm averaged 7.97±3.73 s,much shorter than that by the physicians(typically beyond 10 min).Conclusion The multi-constraint optimal puncture path planning algorithm offers an efficient automated solution for PIRFT of the L5/S1 segments with great potentials for clinical application.

The many-banded krait, Bungarus multicinctus, has been recorded as the animal resource of JinQianBaiHuaShe in the Chinese Pharmacopoeia. Characterization of its venoms classified chief phyla of modern animal neurotoxins. However, the evolutionary origin and diversification of its neurotoxins as well as biosynthesis of its active compounds remain largely unknown due to the lack of its high-quality genome. Here, we present the 1.58 Gbp genome of B. multicinctus assembled into 18 chromosomes with contig/scaffold N50 of 7.53 Mbp/149.8 Mbp. Major bungarotoxin-coding genes were clustered within genome by family and found to be associated with ancient local duplications. The truncation of glycosylphosphatidylinositol anchor in the 3'-terminal of a LY6E paralog released modern three-finger toxins (3FTxs) from membrane tethering before the Colubroidea divergence. Subsequent expansion and mutations diversified and recruited these 3FTxs. After the cobra/krait divergence, the modern unit-B of β-bungarotoxin emerged with an extra cysteine residue. A subsequent point substitution in unit-A enabled the β-bungarotoxin covalent linkage. The B. multicinctus gene expression, chromatin topological organization, and histone modification characteristics were featured by transcriptome, proteome, chromatin conformation capture sequencing, and ChIP-seq. The results highlighted that venom production was under a sophisticated regulation. Our findings provide new insights into snake neurotoxin research, meanwhile will facilitate antivenom development, toxin-driven drug discovery and the quality control of JinQianBaiHuaShe.