This study aims to explore the pharmacodynamic material basis of Jinbei Oral Liquid(JBOL) against idiopathic pulmonary fibrosis(IPF) based on serum pharmacochemistry and network pharmacology. The ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UHPLC-Q-TOF-MS/MS) technology was employed to analyze and identify the components absorbed into rat blood after oral administration of JBOL. Combined with network pharmacology, the study explored the pharmacodynamic material basis and potential mechanism of JBOL against IPF through protein-protein interaction(PPI) network construction, "component-target-pathway" analysis, Gene Ontology(GO) functional enrichment, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis. First, a total of 114 compounds were rapidly identified in JBOL extract according to the exact relative molecular mass, fragment ions, and other information of the compounds with the use of reference substances and a self-built compound database. Second, on this basis, 70 prototype components in blood were recognized by comparing blank serum with drug-containing serum samples, including 28 flavonoids, 25 organic acids, 4 saponins, 4 alkaloids, and 9 others. Finally, using these components absorbed into blood as candidates, the study obtained 212 potential targets of JBOL against IPF. The anti-IPF mechanism might involve the action of active ingredients such as glycyrrhetinic acid, cryptotanshinone, salvianolic acid B, and forsythoside A on core targets like AKT1, TNF, and ALB and thereby the regulation of multiple signaling pathways including PI3K/AKT, HIF-1, and TNF. In conclusion, JBOL exerts the anti-IPF effect through multiple components, targets, and pathways. The results would provide a reference for further study on pharmacodynamic material basis and pharmacological mechanism of JBOL.
Drugs, Chinese Herbal/pharmacokinetics* ; Animals ; Tandem Mass Spectrometry ; Network Pharmacology ; Rats ; Chromatography, High Pressure Liquid ; Rats, Sprague-Dawley ; Male ; Idiopathic Pulmonary Fibrosis/metabolism* ; Humans ; Administration, Oral ; Protein Interaction Maps/drug effects* ; Signal Transduction/drug effects*

Genetic transformation is a fundamental tool in molecular biology research of medicinal plants. Tailoring transgenic technologies to each distinct medicinal plant would necessitate a substantial investment of time and effort. Here, we present a simple hairy root transformation method that does not require sterile conditions, utilizing Agrobacterium rhizogenes strain K599 and the visible RUBY reporter system. Transgenic hairy roots were obtained for six tested medicinal plant species, roots or rhizomes of which have recognized medicinal value, spanning four botanical families and six genera (Platycodon grandiflorus, Atractylodes macrocephala, Scutellaria baicalensis, Codonopsis pilosula, Astragalus membranaceus, and Glycyrrhiza uralensis). Furthermore, two previously identified Glycyrrhiza uralensis UGTs that convert liquiritigenin into liquiritin in heterologous systems were studied in planta using the method. Our results indicate that overexpression of GuUGT1 but not GuUGT10 and Cas9-mediated knockout of GuUGT1 profoundly influenced the accumulation of liquiritin and isoliquiritin in licorice roots. Therefore, the method described here represents a simple, rapid and widely applicable hairy root transformation method that enables fast gene functional study in medicinal plants.

OBJECTIVE: In Pakistan, traditional medicines are an important component of the medical system, with numerous varieties and great demands. However, due to the scattered resources and the lack of systematic collection and collation, adulteration of traditional Pakistani medicine (TPM) is common, which severely affects the safety of their medicinal use and the import and export trades. Therefore, it is urgent to systematically organize and unify the management of TPM and establish a set of standards and operable methods for the identification of TPM. METHODS: We collected and organized the information on 128 TPMs with regard to their medicinal parts, efficacy, usage, and genetic material, based on Pakistan Hamdard Pharmacopoeia of Eastern Medicine: Pharmaceutical Codex. The genetic information of TPM is summarized from national center for biotechnology information (NCBI) and global pharmacopoeia genome database (GPGD). Furthermore, we utilized bioinformatics technology to supplement the chloroplast genome (cp-genome) data of 12 TPMs. To build the web server, we used the Linux + Apache + MySQL + PHP (LAMP) system and constructed the webpage on a PHP: Hypertext Preprocessor (PHP) model view controller (MVC) framework. RESULTS: We constructed a new genomic database, the traditional Pakistani medicine genomic database (TPMGD). This database comprises five entries, namely homepage, medicinal species, species identification, basic local alignment search tool (BLAST), and download. Currently, TPMGD contains basic profiles of 128 TPMs and genetic information of 102 TPMs, including 140 cytochrome c oxidase subunit I (COI) sequences and 119 mitochondrial genome sequences from Bombyx mori, 1 396 internal transcribed spacer 2 (ITS2) sequences and 1 074 intergenic region (psbA-trnH) sequences specific to 92 and 83 plant species, respectively. Additionally, TPMGD includes 199 cp-genome sequences of 82 TPMs. CONCLUSION TPMGD is a multifunctional database that integrates species description, functional information inquiry, genetic information storage, molecular identification of TPM, etc. The database not only provides convenience for TPM information queries but also establishes the scientific basis for the medication safety, species identification, and resource protection of TPM.

OBJECTIVE: Pneumoconiosis, a lung disease caused by irreversible fibrosis, represents a significant public health burden. This study investigates the causal relationships between gut microbiota, gene methylation, gene expression, protein levels, and pneumoconiosis using a multi-omics approach and Mendelian randomization (MR). METHODS: We analyzed gut microbiota data from MiBioGen and Esteban et al. to assess their potential causal effects on pneumoconiosis subtypes (asbestosis, silicosis, and inorganic pneumoconiosis) using conventional and summary-data-based MR (SMR). Gene methylation and expression data from Genotype-Tissue Expression and eQTLGen, along with protein level data from deCODE and UK Biobank Pharma Proteomics Project, were examined in relation to pneumoconiosis data from FinnGen. To validate our findings, we assessed self-measured gut flora from a pneumoconiosis cohort and performed fine mapping, drug prediction, molecular docking, and Phenome-Wide Association Studies to explore relevant phenotypes of key genes. RESULTS: Three core gut microorganisms were identified: Romboutsia ( OR = 0.249) as a protective factor against silicosis, Pasteurellaceae ( OR = 3.207) and Haemophilus parainfluenzae ( OR = 2.343) as risk factors for inorganic pneumoconiosis. Additionally, mapping and quantitative trait loci analyses revealed that the genes VIM, STX8, and MIF were significantly associated with pneumoconiosis risk. CONCLUSIONS This multi-omics study highlights the associations between gut microbiota and key genes ( VIM, STX8, MIF) with pneumoconiosis, offering insights into potential therapeutic targets and personalized treatment strategies.
Humans ; Male ; East Asian People/genetics* ; Europe ; Gastrointestinal Microbiome ; Lung ; Macrophage Migration-Inhibitory Factors/metabolism* ; Mendelian Randomization Analysis ; Multiomics ; Pneumoconiosis/microbiology* ; Intramolecular Oxidoreductases

Vascular cognitive impairment(VCI)is a group of syndromes ranging from mild cognitive impairment to dementia caused by cerebrovascular disease,due to the lack of sensitivity and specific biomarkers,it is difficult to identify and diagnose early.Abnormal connectivity is observed in brain regions of patients with vascular cognitive disorders,locates mainly in the default mode network(DMN),and changes in their abnormal functional connectivity correlated with the degree of patients' cognitive impairment.Resting-state functional magnetic resonance imaging(rs-fMRI)is a commonly used method to detect the internal activity of the brain at resting state.The use of various rs-fMRI to study abnormal changes in the DMN in patients with VCI is useful to further investigate the pathogenesis of VCI and provide an objective basis for imaging.This article mainly reviews the application of rs-fMRI in the DMN in patients with VCI,bringing new perspectives for the correct diagnosis and assessment of VCI.

Aim To explore the correlation between residual lipoprotein cholesterol(RLP-C)and the occurrence and severity of peripheral arterial disease(PAD)in patients with type 2 diabetes mellitus(T2DM).Meth-ods 392 T2DM patients with complete data who attended the Department of Endocrinology and the Department of Cardio-vascular Medicine of People's Hospital of Henan University of Traditional Chinese Medicine from May 2022 to December 2022 were selected and classified into PAD group(n=203)and non-PAD group(n=189).General clinical data were collected between the groups,the difference of RLP-C level was compared between the two groups,the correlation between RLP-C and PAD was examined by using univariate and multivariate Logistic regression analysis,and ROC curve was plotted to analyze the predictive value of RLP-C for PAD.Results Compared with non-PAD group,RLP-C level was significantly higher in PAD group(P＜0.001);RLP-C was positively correlated with the severity of PAD(r=0.443,P＜0.001);Multifactorial Logistic regression analysis revealed that RLP-C was a major risk factor for the development of PAD in T2DM(P＜0.001);The area under the curve(AUC)of RLP-C level prediction for T2DM combined with PAD was 0.860(95％CI:0.824～0.896,P＜0.001);The optimal RLP-C threshold for predicting the development of PAD was 0.67 mmol/L.Conclusion RLP-C level was positively associated with the occurrence and severity of PAD in patients with T2DM,and RLP-C was an independent risk factor for the development of PAD.In addition,RLP-C＞0.67 mmol/L increased the risk of PAD in T2DM patients.

Objective To analyze the correlation between triglyceride glucose index (TyG) combined with different obesity indexes and new-onset ischemic stroke (IS) in 10 years in prediabetes population in Luzhou,Sichuan through cohort study. Methods A total of 2551 residents who participated in the epidemiological survey in Luzhou in 2011 and were diagnosed as having prediabetes were enrolled. According to the quartiles of baseline TyG-waist circumference (WC),TyG-waist to height ratio (WtHR),TyG-body mass index (BMI),and TyG-waist to hip ratio (WHR),they were divided into the 1st,2nd,3rd,and 4th quartiles groups (Q1,Q2,Q3,and Q4 groups). The incidence of new-onset IS in each group in 10 years was analyzed. The relationships between TyG-WC,TyG-WtHR,TyG-WHR and new-onset IS were analyzed by multivariate logistic regression. Results Among the 2551 prediabetes subjects enrolled in the study,123 died of various causes during the 10 years of non-intervention follow-up,with a mortality of 4.8％;142 had new-onset IS,with an incidence of 5.6％;and 224 had new-onset diabetes mellitus,including 22 also had new-onset IS,accounting for 9.8％. The quartile grouping analyses of TyG-WC and TyG-WtHR showed that the incidence of new-onset IS in prediabetes subjects over 10 years was Q4 group>Q3 group>Q2 group>Q1 group,with significant differences (P<0.05). The quartile grouping analysis of TyG-BMI showed that there was no significant difference in the incidence of new-onset IS (P>0.05). The quartile grouping analysis of TyG-WHR showed that the incidence of new-onset IS was Q3 group>Q4 group>Q2 group>Q1 group,with significant difference (P<0.05). Multivariate logistic regression analysis showed that TyG-WtHR was associated with new-onset IS in prediabetes subjects,either without adjusting any variable or after adjusting multiple factors. Conclusion TyG-WtHR is a risk factor of IS in prediabetes individuals. Enhancing management of prediabetes patients with high TyG-WtHR may reduce the risk of IS.

Objective To investigate the correlation of human epididymis protein 4(HE4)with proteinuria in patients with type 2 diabetes mellitus(T2DM).Methods A total of 147 T2DM patients from January 2020 to July 2023 in Jiujiang NO.l People's Hospital were enrolled in observation group.According to the severity of proteinuria,observation group was divided into three groups:Normal albuminuria group(101 cases),microalbuminuria group(25 cases),and massive albuminuria group(21 cases).50 healthy examinees with gender and age matching during the same period were selected as control group.HE4 levels and clinical indicators in each group were compared and analyzed.Correlation between HE4 and proteinuria was analyzed by using univariate and multivariate linear regression.Results The correlation network diagram reveals that HE4 functions was a pivotal node linking serum albumin,urinary microalbumin,urinary microalbumin-to-creatinine ratio(UACR),and renal function biomarkers.Compared to control group,HE4 levels significantly elevated in observation group(P＜0.01).Both univariate and multivariate linear regression analysis demonstrate a positive correlation between HE4 and UACR.Logistic regression analysis shew that after adjusting for confounding factors including age,gender,estimated glomerular filtration rate(eGFR),albumin(ALB),blood urea nitrogen(BUN),serum creatinine(SCr),uric acid(UA),lactate dehydrogenase(LDH)etc.elevated HE4 levels was a risk factor for proteinuria(OR=1.110,95％CI:1.005-1.226).Conclusion Elevated HE4 levels in patients with T2DM is positivly correlated with UACR.Increase its level increases the risk of proteinuria in T2DM patients.

The distribution of Ixodes and Ana plasma carried by Ixodes ticks in Anhui Province was clarified as reference for prevention and control of anaplasmosis.In total,630 hard ticks were collected from Jinzhai County,Hanshan County,Jing-de County and Chaohu City in Anhui Province from April to August 2023.Ticks were identified by morphological analysis and 16S rRNA sequencing.Nested PCR with Anaplasma species-specific primers were used to detect 16S rRNA of Anaplasma spe-cies carried by ticks.A phylogenetic tree was constructed using MEGA11.0 software.Of the identified ticks,18.8％(18/96)were Rhipicephalus microplus and 81.2％(78/96)were Haemaphysalis longicorni in Jinzhai County of Anhui Province,all were H.longicorni in Hanshan County and Chaohu City,while the main species in Jingde County was R.microplus.The posi-tive rate of Anaplasma carried by H.longicornis was 30.9％(102/330),which included A.bovis at 1.8％(6/330),A.phagocytophilum at 21.8％(72/330)and uncultured Anaplasma species at 7.3％(24/330).R.microplus was positively cor-related to A.bovis(13.6％,18/132).The uncultured Anaplasma species was mainly detected in host-free ticks.A.phagocy-tophilum was detected in 24.4％of parasitic ticks and 15.8％of host-free ticks.The positive rates of host-free and parasitic ticks were 19.9％and 17.8％,respectively.These results show that H.longicornis and R.microplus were the dominant ticks in several counties of Anhui Province.H.longicornis and R.microplus as well as free and parasitic ticks all carried Anaplas-ma.

Objective To investigate the acupoint selection rules of obesity complicated with type 2 diabetes mellitus(T2DM)through R language data mining technology.Methods CNKI,Wanfang,VIP,CBM,PubMed,Embase,Cochrane Library,web of science and other major databases were searched by computer.From the establishment of the database to January 2024,the clinical research literature on acupuncture and moxibustion for the treatment of obesity with T2DM was included.Microsoft Excel 2021 was used to establish a database of acupoint prescriptions.R 4.3.2 and Rstudio software were used to analyze the frequency,meridian tropism,specific acupoints,correlation analysis,association rules and cluster analysis of acupoints.Results A total of 81 articles were included,and 117 prescriptions were extracted.It involves 82 acupoints,and the total frequency of acupoint usage is 1 072 times.The top five acupoints with the highest frequency were Zusanli(ST36),Zhongwan(RN12),Weiwanxiashu(EX-B3),Pishu(BL20),Tianshu(ST25).The meridian selection is mainly based on the stomach meridian of foot yangming,ren meridian,foot taiyang bladder meridian and foot taiyin spleen meridian.The five-shu points are the specific points with the highest frequency of use.Correlation analysis showed that there were three groups of strongly related acupoint groups.The core acupoints were obtained by association rule analysis.Cluster analysis and machine voting were performed on acupoints with frequency ≥ 10 by function,and a total of four cluster acupoint groups were obtained.Conclusion Through R language data analysis,the principle of acupoint selection for acupuncture and moxibustion in the treatment of obesity complicated with T2DM is mainly based on abdominal local acupoints,combined with visceral syndrome differentiation and empirical point selection,which provides effective treatment ideas for acupuncture and moxibustion in the treatment of obesity complicated with T2DM.