Objective To explore the changes and predictive value of serum interleukin-1(IL-1),interleu-kin-12(IL-12)and interferon α(IFN-α)levels in early pregnancy in hepatitis B pregnant women with abnor-mal liver function.Methods A total of 100 hepatitis B pregnant women with normal liver function in early pregnancy in Shijiazhuang Maternal and Child Health Hospital from January 2022 to May 2022 were selected,and were divided into normal liver function group(52 cases)and abnormal liver function group(48 cases)ac-cording to whether there was abnormal liver function in middle and late pregnancy,and another 50 healthy pregnant women of the same gestational week in the same period in Shijiazhuang Maternal and Child Health Hospital were selected as the control group.The general information,liver function indicators[alanine amin-otransferase(ALT),aspartate aminotransferase(AST),glutamine transferase(GGT)],serum interleukin(IL)-1,IL-12,and interferon α(IFN-α)levels among the three groups were compared.The serum levels of IL-1,IL-12,IFN-α in pregnant women with different degrees of liver dysfunction in the liver dysfunction group were compared,and the relationship between the serum levels of IL-1,IL-12,IFN-α and the degree of liver dysfunction was analyzed,as well as the value of predicting liver dysfunction in pregnant women with hepatitis B in the middle and late pregnancy.Results The serum levels of ALT,AST,GGT,IL-1 and IL-12 in early pregnancy from high to low in three groups were liver dysfunction group,normal liver function group,and control group(P＜0.05),while the level of IFN-α in early pregnancy from low to high in three groups were liver dysfunction group,normal liver function group,and control group(P＜0.05).In the abnormal liver func-tion group,there were 12 cases with abnormal concentration values of 3 enzymes,16 cases with abnormal con-centration values of 2 enzymes,and 20 cases with abnormal concentration values of 1 enzyme.The levels of IL-1 and IL-12 from high to low were pregnant women with 3 abnormal values of enzyme,2 abnormal values of enzyme,and 1 abnormal value of enzyme(P＜0.05).The level of IFN-α from low to high were pregnant women with 3 abnormal values of enzyme,2 abnormal values of enzyme,and 1 abnormal value of enzyme(P＜0.05).The levels of serum IL-1 and IL-12 in the abnormal liver function group were positively correlated with the degree of liver function abnormality(r=0.771,0.793,P＜0.05),while the levels of IFN-α were negatively correlated with the degree of liver function abnormality(r=-0.755,P＜0.05).The area under the curve of serum IL-1,IL-12 and IFN-α in the early pregnancy for predicting abnormal liver function of hep-atitis B pregnant women in the middle and late pregnancy was 0.936(95％CI:0.869-0.976,P＜0.05).Conclusion The levels of serum IL-1,IL-12 and IFN-α in early pregnancy of hepatitis B pregnant women are closely related to the degree of liver dysfunction in the middle and late pregnancy,and the combined detection of the three serum indicators has a high predictive value for predicting the liver dysfunction in the middle and late pregnancy of hepatitis B pregnant women.

Ferulic acid (FA), a natural product of phenylpropanoids containing phenolic hydroxyl groups, has a wide range of pharmacological activities and some therapeutic effect on Alzheimer's disease (AD).Using FA as the raw material, the ferulic acid carbamate aniline derivatives were first synthesized by 4-step esterification reaction, splicing carbamate active functional groups, hydrolysis reaction and amide condensation.These FA derivatives were evaluated for in vitro cholinesterase inhibition activity by the Ellman method.A total of 15 novel FA derivatives were designed and synthesized, and their structures were confirmed by 1H NMR, 13C NMR and ESI-MS.Cholinesterase activity tests showed that compounds 5c, 5f, 5j, 5g, 5m possessed good acetylcholinesterase inhibition activity.Except for 5l, 5m, almost all compounds have inhibition activity on butyrylcholinesterase, which is much higher than that on acetylcholinesterase.In conclusion, compounds 5c, 5f, 5j and 5g can be used as potential anti-AD inhibitors targeting cholinesterase..

The fingerprint of Boenninghausenia albiflora var. albiflora was established by ultra performance liquid chromatography(UPLC), and the content of 12 active components including chlorogenic acid was determined. Multivariate statistical analysis was used to explore the indicator components of B. albiflora var. albiflora and a comprehensive evaluation system was created for the quality of B. albiflora var. albiflora. In this study, 33 batches of B. albiflora var. albiflora with different sources were collected and studied, and the UPLC fingerprint of B. albiflora var. albiflora was developed. There were 37 common peaks, of which 12 components were identified, and the content of these 12 components was measured. In combination of the common peaks and the content of chemical components, multivariate statistical analysis was performed, and the results showed that 6 components [daphnoretin, isoimperatorin, astragalin, imperatorin, neochlorogenic acid, and isoquercitrin(weight coefficient>0.1)] were selected as chemical markers for the quality of B. albiflora var. albiflora. Technique for order of preference by similarity to ideal solution(TOPSIS) analysis and chemometrics revealed that the quality of S32, S28 and S29 were superior, while that of S12, S7 and S16 were inferior. The quality evaluation method of B. albiflora var. albiflora constructed in this study was accurate and reliable, with simpleness and easiness to operate. It is suggested that the 6 above-mentioned active components could be used as indicator components for quality control of B. albiflora var. al-biflora. The samples were harvested during the flowering and fruiting period, which is from the beginning of July to the end of August.
Chromatography, High Pressure Liquid/methods* ; Chromatography, Liquid ; Drugs, Chinese Herbal/chemistry* ; Multivariate Analysis ; Quality Control

Mycobacterium tuberculosis is the causative agent of tuberculosis(TB),which is still the leading cause of mortality from a single infectious disease worldwide.The development of novel anti-TB drugs and vaccines is severely hampered by the complicated and time-consuming genetic manipulation techniques for M.tuberculosis.Here,we harnessed an endogenous type Ⅲ-A CRISPR/Cas10 system of M.tuberculosis for efficient gene editing and RNA interference(RNAi).This simple and easy method only needs to transform a single mini-CRISPR array plasmid,thus avoiding the introduction of exogenous protein and minimizing proteotoxicity.We demonstrated that M.tuberculosis genes can be efficiently and specifically knocked in/out by this system as con-firmed by DNA high-throughput sequencing.This system was further applied to single-and multiple-gene RNAi.Moreover,we successfully performed genome-wide RNAi screening to identify M.tuberculosis genes regulating in vitro and intracellular growth.This system can be extensively used for exploring the functional genomics of M.tuberculosis and facilitate the development of novel anti-TB drugs and vaccines.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

The coronavirus disease 2019 (COVID-19) has caused a global pandemic. All people including children are generally susceptible to COVID-19, but the condition is relatively mild for children. The diagnosis of COVID-19 is largely based on the epidemiological evidence and clinical manifestations, and confirmed by positive detection of virus nucleic acid in respiratory samples. The main symptoms of COVID-19 in children are fever and cough; the total number of white blood cell count is usually normal or decreased; the chest imaging is characterized by interstitial pneumonia, which is similar to other respiratory virus infections and infections. Early identification, early isolation, early diagnosis and early treatment are important for clinical management. The treatment of mild or moderate type of child COVID-19 is mainly symptomatic. For severe and critical ill cases, the oxygen therapy, antiviral drugs, antibacterial drugs, glucocorticoids, mechanical ventilation or even extracorporeal membrane oxygenation (ECMO) may be adopted, and the treatment plan should be adjusted timely through multi-disciplinary cooperation.
Betacoronavirus ; isolation & purification ; Child ; Coronavirus Infections ; diagnosis ; pathology ; therapy ; Humans ; Pandemics ; Pneumonia, Viral ; diagnosis ; diagnostic imaging ; etiology ; pathology ; therapy

Betacoronavirus ; isolation & purification ; Child ; Clinical Laboratory Techniques ; Coronavirus Infections ; diagnosis ; drug therapy ; therapy ; Humans ; Pneumonia, Viral ; diagnosis ; therapy

Objective To explore the value of modified early warning score (MEWS) in clinical status assessment and outcome prediction of heat stroke patients.Methods The clinical data of 46 heat stroke patients were collected.According to the severity,the subjects were divided into mild group and severe group;and alternatively,according to the treatment outcomes,the subjects were also divided into survival group and death group.The MEWS at admission was employed for comparison of the differences in severity and outcome of heat stroke between groups.Receiver operating characteristic curve (ROC curve) was used to evaluate the accuracy of MEWS used at admission in assessing severity and predicting outcome of heat stroke patients.Results The results of MEWS calculated at admission in mild and severe heat stroke patients showed significant difference between them (3.00 ± 1.70 vs.6.85 ± 3.03,P =0.004).The area under the ROC curve (AUC) of MEWS got at admission for the diagnosis of severe heat stroke was 0.864 ± 0.056.The results of MEWS obtained at admission in survived and died heat stroke patients were 5.13 ± 2.96 and 9.25 ± 2.05,respectively (P =0.037).The AUC of MEWS used at admission for predicting the death of heat stroke patients was 0.867 ± 0.061.Conclusions The initial MEWS is useful to accurately assess and predict the outcome of heat stroke patients.Heat stroke patients with higher level of MEWS used at admission than 4.5 could be diagnosed as severe heat stroke,and whereas the value of MEWS got at admission higher than 7.5 could be the indicator of the poor prognosis.

Objective To investigate risk factors of the prognosis of patients with severe fever with thrombocytopenia syndrome (SFTS).Methods From May 2012 to July 2014,17 cases of severe fever with thrombocytopenia syndrome in Renmin Hospital of Wuhan University were treated.Clinical data including history of epidemiology,clinical manifestations,complications,physical examination and laboratory test results on admission and the third day after admission were retrospectively analyzed and compared with the death group and recovery group by application of Spearman correlation analysis.Results Elderly male patients with neuropsychiatric symptoms,or abnormal liver function,or abnormal blood clotting function had higher risk of the poor prognosis.In SFTS patients,AST,ALT was significantly increased,AST 539 U/L (229.73,545.4) U/L (r =0.597,P =0.015) was a risk factor affecting prognosis.Elevated blood ammonia indicated serious liver dysfunction and neurological dysfunction which were manifested as irritability,delirium,and trembling limbs.In SFTS patients,platelets were significantly decreased accompanied with mouth ulcers / bleeding gums,gastrointestinal bleeding.PLT 24.88 × 10 9/L-1 (12.75,35.00) ×10 9/L-1 (r=0.557,P=0.005) or APTT 86.06 s (66.88,114.18) (r=0.798,P=0.001) or D-dimmer 9.79 mg / L (4.09,16.51) mg/L (r =0.597,P =0.015) are risk factors affecting poor prognosis.Conclusions On the third days after admission,AST,WBC,PLT,APTT,Ddimmer are risk factors for prognosis of patients with severe fever with thrombocytopenia syndrome infected by a novel bunyavirus.

OBJECTIVEThe interrelation of yield and agronomic traits of Gentiana rigescens was studied for the germplasm and breeding variety of this species.

METHODTwelve agronomic traits, root diameter, root length, root number, root biomass, stem diameter, plant height, the first branch number, leaf length, leaf width, leaf length/leaf width ratio, calyx length, and calyx number of G. rigescens from 26 wild populations in Yunnan were determined for correlation analysis, multiple stepwise regression analysis and path analysis.

RESULTCorrelation analysis showed that there were significantly positive correlation between the traits of aboveground part and the length, diameter, number, and biomass of the root. Multiple stepwise regression analysis showed that length, width, and number of root, plant height, the first branch number, and the calyx number were the main factors that affected the root biomass. Path analysis showed that the diameter, length, and number of the root, the stem height, and the first branch number had a direct positive effect on the root biomass.

CONCLUSIONThe traits, such as high and strong stem, high number of first branch number and shrubby shape could be selected for the breeding and high yielding of G. rigescens.