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.

AIM To evaluate the quality of Beidougen Formula Granules.METHODS Fifteen batches of standard decoctions and three batches of formula granules were prepared,after which paste rate and contents,transfer rates of magnoflorine,daurisoline,dauricine were determined.HPLC specific chromatograms were established,and cluster analysis was adopted in chemical pattern recognition.RESULTS For three batches of formula granules,the paste rates were 15.1%-16.6%,the contents of magnoflorine,daurisoline,dauricine were 18.93-19.39,9.42-9.60,6.79-6.85 mg/g with the transfer rates of 34.42%-35.25%,43.81%-44.65%,27.27%-27.51%from decoction pieces to formula granules,respectively,and there were seven characteristic peaks in the specific chromatograms with the similarities of more than 0.95,which demonstrated good consistence with those of standard decoctions and accorded with related limit requirements.Fifteen batches of standard decoctions were clustered into two types,and the medicinal materials produced from Jilin,Hebei,Shangdong could be used for the preparation of formula granules.CONCLUSION This reasonable and reliable method can provide references for the quality control and clinical application of Beidougen Formula Granules.

AIM To investigate the consistency of chemical constituents between formula granules and standard decoction of Coptidis Rhizoma.METHODS Eighteen batches of standard decoctions were prepared,after which the extraction rate and contents,transfer rates of magnolflorine,jatrorrhizine,columbamine,epiberberine,coptisine,palmatine,berberin were determined,HPLC characteristic chromatograms were established.RESULTS There were 11 common peaks in the characteristic chromatograms of 18 batches of standard decoctions and 24 batches of formula granules with the similarities of 0.861-1.000,which were clusterd into two categories.The formula granules and standard decoction demonstrated approximated extraction rate and contents,transfer rates of index constituents.CONCLUSION The chemical constituents between formula granules and standard decoction of Coptidis Rhizoma display good consistency,which can provide references for the quality control,process research and clinical application of the former.

To identify the active constituents in vitro and blood-absorbed ingredients in vivo from Yin Chen Hao decoction provides scientific evidence for probing its prevention and treatment mechanism on acute liver injury. An ultrahigh performance liquid chromatography quadrupole-time of flight-mass spectrometry (UPLC-QTOF/MS) method was applied for analysis of Yin Chen Hao decoction and the serum samples of mice with con-A induced acute liver injury after preventive oral administration for 14 days (the use of all laboratory animals in this study was approved by the Ethics Committee of the Naval Medical University, 19YF1459400). A total of 90 chemical constituents were identified from Yin Chen Hao decoction, mainly were flavonoids, terpenoids, tannins, quinones. 5 prototype compounds were identified in the serum, including chrysophanol, deoxyrhapontin-8-O-gallate, mussaenosidic acid, herniarin, emodin. The established UPLC-QTOF/MS method could efficiently and sensitively identify the constituents in vitro and blood-absorbed ingredients of Yin Chen Hao decoction, primarily clarify the material basis of its hepatoprotective effect, and provided a scientific basis for the quality marker selection and the pharmacodynamic material basis research on the decoction.

Objective: From a screening-focused perspective, to analyze the 30-year changes in disability adjusted life years (DALYs) caused by colorectal cancer (CRC) in China and in some other selected populations, to inform extent of burden of CRC and future related prevention and control in populations in China. Methods: Based on the data of Global Burden of Disease 2019 (GBD 2019), the DALYs, world standardized DALY rate, and the composition of different subgroups in China were collected. Joinpoint regression model was used to analyze the trend during 1990-2019, and comparison was made with the international data and population screening situation. The trend of DALY burden caused by CRC in China was predicted. Results: In 2019, the DALYs due to CRC in China was 6.395 million person-years, accounting for 26.3% of the global burden and 9.5% of all cancers burden in China; the DALYs in men accounted for 65.2%, in those aged ≥65 years old accounted for 44.8%, in the age group recommended by local screening guidelines (40-75 years) accounted for 73.7%. The years lived with disability accounted for 4.8%. Compared with 1990, the CRC-caused DALYs in China increased by 181.5% in 2019. Factors with the largest increase in the attributable percentage were high Body Mass Index (151.1%), diet high in red meat (86.4%) and diet high in processed meat (78.8%), etc. For DALY rate, it was 245.6/100 000 in 1990 and 320.6/100 000 in 2019, an increase of 30.5%. For reference, Australia (began in 2006), the UK (2006), and Japan (1992), where CRC population-wide screening has been conducted, had decreases in DALY rate of 36.0%, 28.6%, and 17.8%, respectively. The predication of DALYs suggested that without continued expansion of population-based screening, the DALYs in China would reach 7.7 million person-year-9.1 million person-year by 2030, an increase of 19.9%-41.8% compared with 2019. Conclusions: The burden of CRC-caused DALYs in China increased over the past 30 years, and would become more serious because of population aging and the concomitant disability problem. The age range recommended by the current local screening guideline could theoretically include 70% of the population from which the DALYs burden originates, however, the real-world population screening coverage is still limited. The observed decline in CRC-related DALY rate in selected countries was substantially due to the implementation of mass screening, indicating the importance of speedily expanding the population coverage of CRC screening in China.
Aged ; China/epidemiology* ; Colorectal Neoplasms/epidemiology* ; Cost of Illness ; Disability-Adjusted Life Years ; Early Detection of Cancer ; Humans ; Male ; Mass Screening ; Quality-Adjusted Life Years

Objective To explore the semi-supervised learning (SSL) algorithm for long-tail endoscopic image classification with limited annotations. Method We explored semi-supervised long-tail endoscopic image classification in HyperKvasir, the largest gastrointestinal public dataset with 23 diverse classes. Semi-supervised learning algorithm FixMatch was applied based on consistency regularization and pseudo-labeling. After splitting the training dataset and the test dataset at a ratio of 4:1, we sampled 20%, 50%, and 100% labeled training data to test the classification with limited annotations. Results The classification performance was evaluated by micro-average and macro-average evaluation metrics, with the Mathews correlation coefficient (MCC) as the overall evaluation. SSL algorithm improved the classification performance, with MCC increasing from 0.8761 to 0.8850, from 0.8983 to 0.8994, and from 0.9075 to 0.9095 with 20%, 50%, and 100% ratio of labeled training data, respectively. With a 20% ratio of labeled training data, SSL improved both the micro-average and macro-average classification performance; while for the ratio of 50% and 100%, SSL improved the micro-average performance but hurt macro-average performance. Through analyzing the confusion matrix and labeling bias in each class, we found that the pseudo-based SSL algorithm exacerbated the classifier's preference for the head class, resulting in improved performance in the head class and degenerated performance in the tail class. Conclusion SSL can improve the classification performance for semi-supervised long-tail endoscopic image classification, especially when the labeled data is extremely limited, which may benefit the building of assisted diagnosis systems for low-volume hospitals. However, the pseudo-labeling strategy may amplify the effect of class imbalance, which hurts the classification performance for the tail class.
Supervised Machine Learning ; Algorithms

Nonalcoholic fatty liver disease (NAFLD) is characterized by hepatic steatosis and insulin resistance and there are currently no approved drugs for its treatment. Hyperactivation of mTOR complex 1 (mTORC1) and subsequent impairment of the transcription factor EB (TFEB)-mediated autophagy-lysosomal pathway (ALP) are implicated in the development of NAFLD. Accordingly, agents that augment hepatic TFEB transcriptional activity may have therapeutic potential against NAFLD. The objective of this study was to investigate the effects of nuciferine, a major active component from lotus leaf, on NAFLD and its underlying mechanism of action. Here we show that nuciferine activated ALP and alleviated steatosis, insulin resistance in the livers of NAFLD mice and palmitic acid-challenged hepatocytes in a TFEB-dependent manner. Mechanistic investigation revealed that nuciferine interacts with the Ragulator subunit hepatitis B X-interacting protein and impairs the interaction of the Ragulator complex with Rag GTPases, thereby suppressing lysosomal localization and activity of mTORC1, which activates TFEB-mediated ALP and further ameliorates hepatic steatosis and insulin resistance. Our present results indicate that nuciferine may be a potential agent for treating NAFLD and that regulation of the mTORC1-TFEB-ALP axis could represent a novel pharmacological strategy to combat NAFLD.

UPLC-Q-TOF-MS combined with network pharmacology and experimental verification was used to explore the mechanism of acupoint sticking therapy(AST) in the intervention of bronchial asthma(BA). The chemical components of Sinapis Semen, Cory-dalis Rhizoma, Kansui Radix, Asari Radix et Rhizoma, and Zingiberis Rhizoma Recens were retrieved from TCMSP as self-built database. The active components in AST drugs were analyzed by UPLC-Q-TOF-MS, and the targets were screened out in TCMSP and Swiss-TargetPrediction. Targets of BA were collected from GeneCards, and the intersection of active components and targets was obtained by Venny 2.1.0. The potential targets were imported into STRING and DAVID for PPI, GO, and KEGG analyses. The asthma model induced by house dust mite(HDM) was established in mice. The mechanism of AST on asthmatic mice was explored by pulmonary function, Western blot, and flow cytometry. The results indicated that 54 active components were obtained by UPLC-Q-TOF-MS and 162 potential targets were obtained from the intersection. The first 53 targets were selected as key targets. PPI, GO, and KEGG analyses showed that AST presumedly acted on SRC, PIK3 CA, and other targets through active components such as sinoacutine, sinapic acid, dihydrocapsaicin, and 6-gingerol and regulated PI3 K-AKT, ErbB, chemokine, sphingolipid, and other signaling pathways to intervene in the pathological mechanism of BA. AST can improve lung function, down-regulate the expression of PI3 K and p-AKT proteins in lung tissues, enhance the expression of PETN protein, and reduce the level of type Ⅱ innate immune cells(ILC2 s) in lung tissues of asthmatic mice. In conclusion, AST may inhibit ILC2 s by down-regulating the PI3 K-AKT pathway to relieve asthmatic airway inflammation and reduce airway hyperresponsiveness.
Acupuncture Points ; Animals ; Asthma/drug therapy* ; Drugs, Chinese Herbal ; Immunity, Innate ; Lymphocytes ; Mice ; Network Pharmacology

For the past few years, viral diseases such as Coronavirus Disease 2019, Influenza, and Ebola hemorrhagic fever have become more severe and more frequent. For people’s health and the stable operation of the national economy, it is of increasing importance to research the pathogenesis of virus and host immune regulation mechanism, analyze the regulation of gene expression between virus and host, and surveil pathogenic viruses and prevent virus diseases. Transcriptome sequencing is a kind of technology at the RNA level that focuses on the expression characteristics of genes in a specific space-time state, and it is an indispensable tool for analyzing differential gene expression and researching differential splicing of mRNA. With the progress of molecular biology experimental technology and the maturity of bioinformatics analysis platforms, transcriptomics is developing towards the low-cost and low technical threshold, which is gradually transitioning from the research field to the clinical laboratory and changing the traditional cognition of clinical staff in viruses and viral diseases. It has been increasingly used in the research of viral transcription mechanisms, immune interaction between virus and host, tracking disease progression, and antiviral drug development. In order to provide a methodological reference for the research of virus mechanism and prevention and control of virus disease, here, we mainly review meta-transcriptome from three aspects: technical process, common software and application scenarios of virus and virus diseases, and briefly mention the method and applications of other transcriptomes, including a population of cells RNA sequencing (Bulk RNA-seq), Single-cell RNA sequencing (ScRNA-seq), Single-nuclear RNA sequencing (SnRNA-seq), and Spatial Transcriptome (ST).