Child ; Humans ; Factor VII Deficiency

Comprehensive characterization of metabolites and metabolic profiles in plasma has considerable sig-nificance in determining the efficacy and safety of traditional Chinese medicine(TCM)in vivo.However,this process is usually hindered by the insufficient characteristic fragments of metabolites,ubiquitous matrix interference,and complicated screening and identification procedures for metabolites.In this study,an effective strategy was established to systematically characterize the metabolites,deduce the metabolic pathways,and describe the metabolic profiles of bufadienolides isolated from Venenum Bufonis in vivo.The strategy was divided into five steps.First,the blank and test plasma samples were injected into an ultra-high performance liquid chromatography/linear trap quadrupole-orbitrap-mass spectrometry(MS)system in the full scan mode continuously five times to screen for valid matrix compounds and metabolites.Second,an extension-mass defect filter model was established to obtain the targeted precursor ions of the list of bufadienolide metabolites,which reduced approximately 39％of the interfering ions.Third,an acquisition model was developed and used to trigger more tandem MS(MS/MS)fragments of precursor ions based on the targeted ion list.The acquisition mode enhanced the acquisition capability by approximately four times than that of the regular data-dependent acquisition mode.Fourth,the acquired data were imported into Compound Discoverer software for identification of metabolites with metabolic network prediction.The main in vivo metabolic pathways of bufadienolides were elucidated.A total of 147 metabolites were characterized,and the main biotransformation reactions of bufadienolides were hydroxylation,dihydroxylation,and isomerization.Finally,the main prototype bufadienolides in plasma at different time points were determined using LC-MS/MS,and the metabolic profiles were clearly identified.This strategy could be widely used to elucidate the metabolic profiles of TCM preparations or Chinese patent medicines in vivo and provide critical data for rational drug use.

Huashi Baidu prescription (HSBDF), recommended in the Guideline for the Diagnosis and Treatment of Novel Coronavirus (2019-nCoV) Pneumonia (On Trials, the Seventh Edition), was clinically used to treat severe corona virus disease 2019 (COVID-19) with cough, blood-stained sputum, inhibited defecation, red tongue etc. symptoms. This study was aimed to elucidate and profile the knowledge on its chemical constituents and the potential anti-inflammatory effect in vitro. In the study, the chemical constituents in extract of HSBDF were characterized by UPLC-Q-TOF/MS in both negative and positive modes, and the pro-inflammatory cytokines were measured by enzyme-linked immunosorbent assays (ELISA) to determine the effects of HSBDF in lipopolysaccharide (LPS)-stimulated RAW264.7 cells. The results showed that a total of 217 chemical constituents were tentativedly characterized in HSBDF. Moreover, HSBDF could alleviate the expression levels of IL-6 and TNF-α in the cell models, indicating that the antiviral effects of HSBDF might be associated with regulation of the inflammatory cytokines production in RAW264.7 cells. We hope that the results could be served as the basic data for further study of HSBDF on anti-COVID-19 effect.
Anti-Inflammatory Agents/therapeutic use* ; Antiviral Agents/therapeutic use* ; COVID-19/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Plant Extracts/therapeutic use* ; SARS-CoV-2/drug effects*

C2H2 transcription factors play an important role in plant growth, development and the regulation of secondary metabolism. This article identifies members of the C2H2 gene family in Cannabis sativa L. at the genome level. Chromosomal location and linkage, evolutionary relationships, and identification of conserved motifs was determined from the C. sativa genome and transcriptome data using bioinformatics tools and on-line websites such as TBtools, MEGA software, NCBI, PlantTFDB, ExPASy, HMMSCAN, MEME, WoLFPSORT and PlantCARE. The results show that C. sativa contains 30 members of the C2H2 gene family (named CsC2H2-1-CsC2H2-30) distributed on 9 chromosomes. The encoded proteins range in length from 138 to 635 amino acids, and the theoretical isoelectric points range from 5.85 to 9.52. Molecular weights range from 15 909.48 to 68 445.53 Da. Transcriptome analysis showed that CsC2H2 was differentially expressed in the female flowers, bracts, leaves, and stems of the Diku variety and female flowers of nine different varieties of C. sativa. Quantitative real-time PCR verified that CsC2H2-1, CsC2H2-5, and CsC2H2-19 were significantly expressed in the female flowers and bracts of the Diku variety. This provides a theoretical basis for in-depth study of the function of the C2H2 gene family and the breeding of high-quality C. sativa varieties.

Objective:To analyze the sequence characteristics，chromosomal location，gene structure，conserved motifs，phylogenetic evolution and differential gene expressions of the Cannabis sativa YABBY transcription factor family，in order to provide a molecular basis for in-depth study of YABBY gene function and theoretical support for the selection and breeding of superior hemp varieties. Method:The bio-informatics method was used to identify and analyze the CsYABBY gene family of the original hemp seed plant. PlantTFDB，ExPASy，MEME，CELLO，PLANTCARE and other online websites and TBtools，MEGA，DNAMAN and other software were used for prediction，visualization and analysis. Result:C. sativa contains 6 YABBY gene members distributed on 5 chromosomes，in which 5 members are localized in the nucleus and 1 in extracellular， they consist of 185-235 amino acids， and the isoelectric point is between 5.05 and 9.34， the molecular weight is between 20 582.45-26 282.7 Da. All of CsYABBY proteins contain two conserved domains， namely Zinc finger domain and YABBY domain. CsYABBY genes have multiple cis-acting elements，and their expressions differ in different tissues and cultivars. Conclusion:The expressions of CsYABBY may be affected by hormones and externally environmental factors. CsYABBY gene expressions are tissue-specific. In addition，YABBY transcription factor family may play an important role in regulating the development of C. sativa female flowers，and subfamilies YAB1 and YAB5 may be involved in the synthesis of cannabinoids.

Objective:To analyze the epidemiological characteristics and co-infections of pathogens in children with pneumonia in autumn and winter of 2019 in Qingdao.Methods:From August to November in 2019, 77 children with pneumonia in three hospitals in Qingdao were selected as the research subjects. Throat swabs were collected, nucleic acid was extracted, and 20 common respiratory pathogens were detected by single tube multiplex PCR.Results:Among the 77 cases, the incidence of pneumonia in boys (53.2%) was slightly higher than that in girls (46.7%). Children aged 1-2 years accounted for 10.3% of the total cases, children aged 3-6 years accounted for 61%, and children aged 7-13 years accounted for 20.7%. Twenty-nine cases (38.10%) had high white blood cells; 16 cases (20.77%) had high neutrophil count; 30 cases (38.96%) had high lymphocyte count; the pathogen detection rate was 77.92% of cases, among whom Mycoplasma pneumoniae (MP) was 59.74%, Bocavirus was 10.39%(8/77), adenovirus was 7.79% (6/77), rhinovirus was 3.89% (3/77), parainfluenza virus type 4 was 3.89% (3/77), Bordetella pertussis was 3.89% (3/77), parainfluenza virus type 2 was 2 2.59% (2/77), coronavirus nl63/hku1 was 2.59% (2/77), coronavirus OC43 was 2.59% (2/77), human metapneumovirus was 1.29% (1/77), Parainfluenza virus type 3 was 1.29%(1/77). The 24 cases of virus infection accounted for 31.16% (24/77). The co-infection with two pathogens accounted for 18.18%.Conclusions:Many kinds of pathogens were detected in children with pneumonia in autumn and winter of 2019, in Qingdao. The prevalence of Mycoplasma pneumoniae infection was the highest. Many common viral infections were found in the cases. A high proportion of co-infection was detected in these pneumonia cases.

LBD(lateral organ boundaries)transcription factors play an important role in the regulation of plant growth, development and secondary metabolism. In order to explore the function of LBD genes in cannabis, the Cannabis sativa genome and transcriptome were used to identify the C. sativa LBD gene family, and analyzed their expression patterns. Our results showed that the cannabis LBD contains 32 members, which were divided into two major categories, seven sub-families. Class Ⅰ was divided into 5 sub-families, named Class Ⅰ_a to Class Ⅰ_e, while Class Ⅱ was divided into 2 sub-families, including Class Ⅱ_a and Class Ⅱ_b. Analysis showed that the number of amino acids encoded LBDs was between 172 and 356, and the isoelectric point was between 4.92 and 9.43. The mole-cular weight of LBD was between 18 862.92 Da and 40 081.33 Da, and most members are located in the nucleus. Chromosome positioning of LBD showed that 32 members were unevenly distributed on 10 chromosomes of C. sativa LBD transcription factor domain, gene structure and motifs are relatively conservative, and the characteristics of different class members are similar. The upstream promoter region of the gene contains a variety of cis-acting elements related to plant hormones and environmental factors, C. sativa LBD genes have different expression patterns in the stems, leaves, and flowers of ZYS varieties(low tetrahydrocannabinol, high cannabidiol). The members of the LBD gene family are mainly expressed in the flowers and stems of ZYS varieties, while members expressed in the leaves very few; Class Ⅱ members CsLBD21 and CsLBD23 are expressed in flowers and stems, and CsLBD8 and CsLBD18 are expressed in flowers, stems and leaves. These genes may participate in the growth and development of cannabis and affect the biosynthesis of cannabinoids. This study laid the foundation for the subsequently functional research of the cannabis LBD gene family.
Cannabis/metabolism* ; Gene Expression Regulation, Plant ; Humans ; Medicine, Chinese Traditional ; Phylogeny ; Plant Proteins/metabolism* ; Seeds/metabolism*

Natural indigo, as one of the oldest dyes, is also a pivotal dye utilized in cotton fabrics today. A diversity of plants rich in indigo compounds belong to traditional Chinese herbal medicines. Indigo compounds have a variety of biological and pharmacological activities, including anticonvulsant, antibacterial, antifungal, antiviral and anticancer activities. A substantial progress in indigo biosynthesis has been made lately. This paper summarizes the value of indigo from the aspects of cultural history, biosynthetic pathways and the medicinal activities of its related derivatives involved in the pathways. In addition, the latest research advancements in indigo biosynthetic pathways is demonstrated in this paper, which would lay the theoretical foundation for the exploration and utilization of natural indigo.
Biosynthetic Pathways ; Coloring Agents ; Indigo Carmine/metabolism* ; Indigofera/metabolism*

Objective:At present, the modified NIH classification commonly used in clinical practice is still insufficient for assessing the risk of postoperative recurrence in some patients with intermediate-high risk gastrointestinal stromal tumors (GIST). Through exploring risk factors for recurrence of intermediate-high risk GIST, this study establishes a predictive model for recurrence with more convenience and more precision in order to guide adjuvant therapy for intermediate-high risk GIST patients.Methods:A retrospective case-control study was carried out. Clinical and pathological data of 432 GIST patients who did not receive preoperative targeted treatment, underwent complete resection in the Union Hospital of Tongji Medical College of Huazhong University of Science and Technology from January 2005 to June 2018, and were diagnosed as intermediate- or high-risk based on modified NIH classification by postopertive pathology, were retrospectively analyzed. Cox regression model was used to idenitify independent risk factors of recurrence, and a recurrence risk scoring model was established. The receiver operating characteristic curve (ROC curve), consistency index (C-index) and calibration curve were used to evaluate the accuracy of the scoring model in predicting the recurrence of moderate-risk and high-risk GIST patients.Results:Among 432 GIST patients, 332 were diagnosed as high-risk and 100 as moderate-risk; 237 were males and 195 females with average age of (57.4±12.4) years. Of 432 patients, 211 cases (48.8%) had fibrinogen (FIB) >3.5 g/L; 85 cases (19.7%) had platelet to lymphocyte ratio (PLR)>272.5; 122 cases (28.2%) had neutrophil to lymphocyte ratio (NLR) > 4.2; 102 cases (23.6%) had systemic inflammatory reaction index (SIRI)> 2.7; 198 cases (45.8%) had tumor long diameter >8 cm and 108 cases (25.0%) had mitotic counts > 8/50 HPF. Cox multivariable analysis showed that FIB (HR=1.789, 95% CI: 1.058-3.027, P=0.030), PLR (HR=1.862, 95% CI: 1.067-3.249, P=0.029), SIRI (HR=1.790, 95% CI: 1.039-3.084, P=0.036), tumor long diameter (HR=1.970, 95% CI: 1.105-2.925, P=0.017) and mitotic counts (HR=2.187, 95% CI:1.211-3.950, P=0.009) were independent risk factors for recurrence in patients with middle-risk and high-risk GIST. These 5 factors were included in the risk scoring model, which was given a weight score of 58 points, 62 points, 58 points, 63 points, and 78 points, respectively. Patients with a total score of ≤ 78 points were classified as moderate-risk recurrence (group I), those of 78 to 136 points as high-risk recurrence (group II) and those of >136 points as very high-risk recurrence (group III). ROC curve showed that the area under the curve (AUC) of the scoring model was 0.730 and the C-index was 0.724 (95% CI:0.687-0.787). The calibration curves and the Kaplan-Meier curves of patients in the three groups revealed that this model had a good predictive accuracy. Conclusions:For intermediate-risk and high-risk GIST patients, the preoperative FIB >3.5 g/L, PLR > 272.5 and SIRI > 2.7 are independent risk factors of recurrence after surgery. The recurrence risk scoring model established by combining tumor long diameter, mitotic counts, FIB, PLR and SIRI can effectively predict the risk of postoperative recurrence and metastasis in moderate-risk and high-risk GIST patients.

Objective:At present, the modified NIH classification commonly used in clinical practice is still insufficient for assessing the risk of postoperative recurrence in some patients with intermediate-high risk gastrointestinal stromal tumors (GIST). Through exploring risk factors for recurrence of intermediate-high risk GIST, this study establishes a predictive model for recurrence with more convenience and more precision in order to guide adjuvant therapy for intermediate-high risk GIST patients.Methods:A retrospective case-control study was carried out. Clinical and pathological data of 432 GIST patients who did not receive preoperative targeted treatment, underwent complete resection in the Union Hospital of Tongji Medical College of Huazhong University of Science and Technology from January 2005 to June 2018, and were diagnosed as intermediate- or high-risk based on modified NIH classification by postopertive pathology, were retrospectively analyzed. Cox regression model was used to idenitify independent risk factors of recurrence, and a recurrence risk scoring model was established. The receiver operating characteristic curve (ROC curve), consistency index (C-index) and calibration curve were used to evaluate the accuracy of the scoring model in predicting the recurrence of moderate-risk and high-risk GIST patients.Results:Among 432 GIST patients, 332 were diagnosed as high-risk and 100 as moderate-risk; 237 were males and 195 females with average age of (57.4±12.4) years. Of 432 patients, 211 cases (48.8%) had fibrinogen (FIB) >3.5 g/L; 85 cases (19.7%) had platelet to lymphocyte ratio (PLR)>272.5; 122 cases (28.2%) had neutrophil to lymphocyte ratio (NLR) > 4.2; 102 cases (23.6%) had systemic inflammatory reaction index (SIRI)> 2.7; 198 cases (45.8%) had tumor long diameter >8 cm and 108 cases (25.0%) had mitotic counts > 8/50 HPF. Cox multivariable analysis showed that FIB (HR=1.789, 95% CI: 1.058-3.027, P=0.030), PLR (HR=1.862, 95% CI: 1.067-3.249, P=0.029), SIRI (HR=1.790, 95% CI: 1.039-3.084, P=0.036), tumor long diameter (HR=1.970, 95% CI: 1.105-2.925, P=0.017) and mitotic counts (HR=2.187, 95% CI:1.211-3.950, P=0.009) were independent risk factors for recurrence in patients with middle-risk and high-risk GIST. These 5 factors were included in the risk scoring model, which was given a weight score of 58 points, 62 points, 58 points, 63 points, and 78 points, respectively. Patients with a total score of ≤ 78 points were classified as moderate-risk recurrence (group I), those of 78 to 136 points as high-risk recurrence (group II) and those of >136 points as very high-risk recurrence (group III). ROC curve showed that the area under the curve (AUC) of the scoring model was 0.730 and the C-index was 0.724 (95% CI:0.687-0.787). The calibration curves and the Kaplan-Meier curves of patients in the three groups revealed that this model had a good predictive accuracy. Conclusions:For intermediate-risk and high-risk GIST patients, the preoperative FIB >3.5 g/L, PLR > 272.5 and SIRI > 2.7 are independent risk factors of recurrence after surgery. The recurrence risk scoring model established by combining tumor long diameter, mitotic counts, FIB, PLR and SIRI can effectively predict the risk of postoperative recurrence and metastasis in moderate-risk and high-risk GIST patients.