This study aims to explore the mechanism of lung and gut protection by Tanreqing Capsules on the mice infected with influenza virus based on "the lung-gut axis". A total of 110 C57BL/6J mice were randomized into control group, model group, oseltamivir group, and low-and high-dose Tanreqing Capsules groups. Ten mice in each group underwent body weight protection experiments, and the remaining 12 mice underwent experiments for mechanism exploration. Mice were infected with influenza virus A/Puerto Rico/08/1934(PR8) via nasal inhalation for the modeling. The lung tissue was collected on day 3 after gavage, and the lung tissue, colon tissue, and feces were collected on day 7 after gavage for subsequent testing. The results showed that Tanreqing Capsules alleviated the body weight reduction and increased the survival rate caused by PR8 infection. Compared with model group, Tanreqing Capsules can alleviate the lung injury by reducing the lung index, alleviating inflammation and edema in the lung tissue, down-regulating viral gene expression at the late stage of infection, reducing the percentage of neutrophils, and increasing the percentage of T cells. Tanreqing Capsules relieved the gut injury by restoring the colon length, increasing intestinal lumen mucin secretion, alleviating intestinal inflammation, and reducing goblet cell destruction. The gut microbiota analysis showed that Tanreqing Capsules increased species diversity compared with model group. At the phylum level, Tanreqing Capsules significantly increased the abundance of Firmicutes and Actinobacteria, while reducing the abundance of Bacteroidota and Proteobacteria to maintain gut microbiota balance. At the genus level, Tanreqing Capsules significantly increased the abundance of unclassified＿f＿Lachnospiraceae while reducing the abundance of Bacteroides, Eubacterium, and Phocaeicola to maintain gut microbiota balance. In conclusion, Tanreqing Capsules can alleviate mouse lung and gut injury caused by influenza virus infection and restore the balance of gut microbiota. Treating influenza from the lung and gut can provide new ideas for clinical practice.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Lung/metabolism* ; Mice, Inbred C57BL ; Capsules ; Orthomyxoviridae Infections/virology* ; Gastrointestinal Microbiome/drug effects* ; Male ; Humans ; Female ; Influenza A virus/physiology* ; Influenza, Human/virology*

The extraction process of traditional Chinese medicine(TCM) is an important part in the production and processing of TCM products. The modeling of this process is of great significance for achieving intelligent production. This paper summarizes the modeling methods for the extraction process of TCM, which mainly include mechanism modeling, empirical formula modeling, data-driven modeling, and mixed modeling. Among them, mechanism modeling and data-driven modeling are widely used. Furthermore, this paper suggests that the future research on the modeling of the extraction process of TCM can be carried out from the following five aspects: in-depth research and development of the extraction process of TCM compound prescriptions, complete description of the whole extraction process of TCM, development of methods for accurate determination of the properties of TCM decoction pieces before extraction, development of adaptive self-optimization technology for models, and construction of models based on a new generation of artificial intelligence methods.
Drugs, Chinese Herbal/chemistry* ; Medicine, Chinese Traditional/methods* ; Models, Theoretical ; Artificial Intelligence ; Humans

Objective　To understand the impact of early and timely treatment and initial antiviral treatment regimen on mortality and attrition of antiretroviral therapy. Methods A retrospective cohort study was conducted using download data on antiretroviral therapy for HIV-infected patients in Liuzhou City, Guangxi Province, from the database of the Basic Information System for AIDS Control and Prevention (BISAC) from 2010 to 2020. The Cox proportional risk regression model was used to analyze the influencing factors of mortality and attrition. Results A total of 15 713 infected patients were included, including 53.4% aged 18-<50 years, 69.4% male, 61.0% farmer, 75.1% CD4 count <350 cells /μL before initial antiviral treatment, the overall mortality rate was 4.30/100 person-years, and the overall attrition was 2.42/100 person-years. The results of Cox regression analysis showed that the influencing factors of mortality were pretreatment CD4 counts of 350-<500 cells/μL(AHR=0.72, 95%CI: 0.63-0.81) and ≥500 cells/μL (AHR= 0.64, 95%CI: 0.55-0.76); duration from diagnosis to initial antiviral treatment 91-180 days (AHR=1.25, 95%CI: 1.08-1.45), 181-365 days (AHR=1.26, 95%CI: 1.08-1.47), and ≥365 days (AHR=1.26, 95%CI: 1.11-1.44); initial antiviral treatment regimens of D4T+3TC+EFV/NVP (AHR=1.47, 95%CI: 1.32-1.63) and AZT/D4T/TDF+3TC+LPV/r (AHR=1.73, 95%CI: 1.50-1.99). Factors affecting attrition were pretreatment CD4 counts of 350-499 cells/μL (AHR=1.32, 95%CI: 1.16-1.50) and ≥500 cells/μL (AHR=1.28, 95%CI: 1.10-1.50); interval from HIV positivity confirmation to initial dosing ≥365 days (AHR=1.21, 95%CI: 1.04-1.40), initial antiviral treatment regimens of TDF+3TC+NVP (AHR=1.32, 95%CI: 1.13-1.55), AZT+3TC+EFV/NVP (AHR=1.43, 95%CI: 1.26-1.62) and AZT/D4T/TDF+3TC+LPV/r (AHR=1.33, 95CI%: 1.06-1.67). Conclusions　Early and timely treatment and the initial antiviral treatment regimen of TDF+3TC+EFV have good efficacy, but attention should be paid to the high risk of attrition of HIV-infected people with high CD4 count before treatment.

Objective To analyze the medication rules of Professor HUANG Feng for the treatment of low back pain using data mining methods.Methods The information of prescriptions for the effective cases of outpatients with low back pain treated by Professor HUANG Feng were collected and screened.Microsoft Excel 2019 was used to analyze the frequency of medication and the distribution of properties,flavors and meridian tropism of the drugs in the included prescription.IBM SPSS Modeler 18.0 was used for association rule analysis,and IBM Statistics 26.0 was used for cluster analysis.Results A total of 239 prescriptions and 75 Chinese medicines were included.There were 23 high-frequency Chinese medicines with the medication frequency being or over 20 times,and the top 10 Chinese medicines were Glycyrrhizae Radix et Rhizoma,vinegar-processed Corydalis Rhizoma,Cibotii Rhizoma,Atractylodis Macrocephalae Rhizoma,Zanthoxyli Radix,salt-processed Achyranthis Bidentatae Radix,Rehmanniae Radix,Dipsaci Radix,Coicis Semen,and Salviae Miltiorrhizae Radix et Rhizoma.The medicines were mainly warm in nature,and were sweet,bitter and pungent in flavor.Most of the drugs had the meridian tropism of liver,stomach and spleen meridians.Among the drug combinations obtained from association rule analysis with the top 20 highest support,vinegar-processed Corydalis Rhizoma,Cibotii Rhizoma,Atractylodis Macrocephalae Rhizoma and Zanthoxyli Radix were the core drugs.Cluster analysis yielded 6 clustering combinations.Conclusion For the treatment of low back pain,Professor HUANG Feng follows the principle of"treatment adapting to the climate,individuality,and environment"and"treating the root cause of the disease",usually adopts the drugs for activating blood,moving qi and relieving pain,nourishing the liver and kidney,and also uses the medicines for replenishing qi and strengthening the spleen.The ideas of HUANG Feng for the treatment of low back pain can be used as a reference for the clinical treatment.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.

In the progression of end-stage liver disease,the incidence of sleep disorders in patients with liver cirrhosis is high.Currently,western medicine treatment has obvious liver and kidney damage and adverse reactions after discontinuation,which affects the therapeutic effect.Cirrhosis and sleep disorders can be separately attributed to the category of"abdominal mass"and"insomnia"in traditional Chinese medicine.The"abdominal mass"is caused by the disorder of liver and spleen qi movement,as well as the obstruction of phlegm-dampness and blood stasis.In the development of"abdominal mass",the liver failed in ensuring free movement of qi,the spleen failed in transportation and transformation,liver yin and liver blood became insufficiency and the imbalance of yin and yang in the zang-fu organs became imbalanced,and then the ethereal soul depart from the housing,which leads to"insomnia"as an outward manifestation.Professor ZHOU Xiao-Zhou focuses on the concept of qi and blood,and points out that the pathogenesis of sleep disorder in cirrhosis is characterized by liver stagnation and spleen deficiency.He proposed that the treatment principle is to regulate the liver and spleen simultaneously,as well as to nourish the heart and calm the mind.Professor ZHOU has developed Ganyinghua Anshen Formula for treating sleep disorders in cirrhosis,which is derived from the modification of Xiangsha Liujunzi Decoction,and is composed of 14 Chinese medicines of vinegar-prepared Cyperi Rhizoma,Amomi Fructus,Coicis Semen,Dioscoreae Rhizoma,bran-fried Atractylodis Macrocephalae Rhizoma,Galli Gigerii Endothelium Corneum,Gardeniae Fructus,Codonopsis Radix,Salviae Miltiorrhizae Radix et Rhizoma,Citri Reticulatae Pericarpium,Sclerotium Poriae Pararadicis,Longan Arillus,Albiziae Cortex,and Glycyrrhizae Radix et Rhizoma Praeparata cum Melle.The formula has achieved remarkable clinical effect.The clinical experience of Professor ZHOU Xiao-Zhou for treating sleep disorders in cirrhosis through regulating the liver and spleen simultaneously will provide a reference for its clinical treatment with traditional Chinese medicine.

The aim of this study was to clarify the genetic diversity and population history of Ixodes persulcatus in some ar-eas of Inner Mongolia in order to provide accurate data for effective vector control programs and reveal the transmission mecha-nism.Samples were collected in 10 areas of Inner Mongolia during the active tick season(April 2021-July 2023)using the flag-dragging and manual sampling methods.The 16S rRNA and COI gene were sequenced to clarify genetic diversity of I.per-sulcatus.The positivity rates for the COI gene and 16S rRNA were 90.00％and 98.33％respectively.Overall,18 and 15 haplotypes were identified for the COI gene and 16S rRNA,respectively,with a total haplotype diversity＞0.762 and total nucleotide diversity＜0.005.The Tajima's values and Fu's Fs were negative for significance.A nucleotide mismatch map was shown as a single peak.The genetic differentiation index FST of the population indicates a small degree of genetic differ-entiation of the population,while analysis of molecular vari-ance indicates that the variation within populations was greater than between populations.Phylogenetic tree and haplotype network plots showed confounding distributions between hap-lotypes.I.persulcatus from the Hinggan League and Hulun-buir regions can adapt to environmental changes and possess abundant genetic diversity.Genetic differentiation is mainly concentrated within the population and no geographical isolation was observed.

In order to understand the prevalence and genetic variation of H9N2 subtype avian influ-enza virus in Shandong,a total 492 tracheal and lung tissue samples collected from chicken farms with respiratory symptoms in partial areas in Shandong were detected by H9 subtype AIV real-time RT-PCR,and the positive samples were inoculated with chicken embryos for two generations.Whole genome sequences of the positive strains by applying Illumina Miaseq platform,and genetic evolution and mutation at positions associating with viral pathogenicity and transmissibility were analyzed.The results showed that there were 72 samples were positive for H9 subtype AIV among the 492 samples,with a positive rate of 14.63％.Thirty-four strains of H9 subtype AIV were ob-tained from the positive samples after passing through chicken embryo,meanwhile,the 34 isolates were all H9N2 subtype AIV by whole genome sequencing analysis.By analyzing the evolutionary tree of HA and NA genes,HA and NA genes of the 34 H9N2 AIV strains belonged to Y280-like branch and F/98-like branch,respectively.Meanwhile,based on above branches,there were obvious time node subbranch,which one was"isolates before 2013",another one was"isolates after 2013".The HA cleavage sites of thirty-four H9N2 strains were all 325PSRSSR↓GLF333,which met the se-quence characteristics of the lowly pathogenic avian influenza virus,and the HA receptor binding site 226 amino acid was leucine,which had the characteristics of blinding to a-2,6 mammalian sialic acid receptors.Among the internal amino acid sites that are key to mammalian adaptation,all strains had an I368V mutation in the PB1 gene that enhanced viral transmissibility in mammals and the PB2 genes of some strains were mutated to enhance the mammalian adaptation of I292 V and A588 V.The above results illustrated that the H9N2 subtype AIV gene segments in Shandong have different degrees of recombination and gene variation,so it is necessary to strengthen the monito-ring of virus variation.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To construct a prediction model for the long-term prognosis of elderly pa-tients heart failure with preserved ejection fraction(HFpEF)based on two-dimensional speckle tracking technology.Methods A total of 312 elderly HFpEF patients admitted in our hospital from January 2017 to December 2018 were prospectively enrolled,and then randomly divided into a training set(218 cases)and a validation set(94 cases)in a ratio of 7∶3.After 5 years of follow-up,they were divided into a death group(n=128)and a survival group(n=184)according to having experienced cardiovascular death events or not.The main clinical characteristics were com-pared between the two groups,and the risk factors for cardiovascular death events were analyzed.A clinical prediction model was constructed based on the relevant risk factors with R4.0.3 statisti-cal software.Results The age,age ≥80 years,atrial fibrillation,chronic obstructive pulmonary disease(COPD),and early strain rate of global systole(GSRs)in the death group were signifi-cantly higher than those in the survival group,with statistical significances[(76.68±8.73)years vs(70.98±7.74)years,P＜0.01;34.4％vs 20.7％,P＜0.01;25.0％vs 11.4％,P＜0.01;26.6％vs 9.2％,P＜0.01;(-0.84±0.24)/s vs(-1.24±0.31)/s,P＜0.01].Multivariate logistic regression analysis showed that age ≥80 years,atrial fibrillation,COPD and GSRs＞-1.035 1/s were inde-pendent risk factors for cardiovascular death events(RR=2.196,95％CI:1.217-3.962,P=0.009;RR=2.242,95％CI:1.136-4.424,P=0.020;RR=3.631,95％CI:1.787-7.377,P=0.000;RR=6.199,95％CI:3.624-10.602,P=0.000).The AUC value of the training set was 0.822(95％CI:0.765-0.879),and that of the validation set was 0.790(95％CI:0.698-0.882).Conclusion Our constructed nomogram prediction model has high predictive value and reliability in predicting cardiovascular death events.