Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Humans ; Anniversaries and Special Events ; Hypersensitivity

The application of new-generation information technologies such as big data, the internet of things(IoT), and cloud computing in the traditional Chinese medicine(TCM)manufacturing industry is gradually deepening, driving the intelligent transformation and upgrading of the TCM industry. At the current stage, there are challenges in understanding the extraction process and its mechanisms in TCM. Online detection technology faces difficulties in making breakthroughs, and data throughout the entire production process is scattered, lacking valuable mining and utilization, which significantly hinders the intelligent upgrading of the TCM industry. Applying data-driven technologies in the process of TCM extraction can enhance the understanding of the extraction process, achieve precise control, and effectively improve the quality of TCM products. This article analyzed the technological bottlenecks in the production process of TCM extraction, summarized commonly used data-driven algorithms in the research and production control of extraction processes, and reviewed the progress in the application of data-driven technologies in the following five aspects: mechanism analysis of the extraction process, process development and optimization, online detection, process control, and production management. This article is expected to provide references for optimizing the extraction process and intelligent production of TCM.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Quality Control ; Big Data ; Algorithms

Many efforts have been made to understand excitotoxicity and develop neuroprotectants for the therapy of ischemic stroke. The narrow treatment time window is still to be solved. Given that the ischemic core expanded over days, treatment with an extended time window is anticipated. Bestrophin 1 (BEST1) belongs to a bestrophin family of calcium-activated chloride channels. We revealed an increase in neuronal BEST1 expression and function within the peri-infarct from 8 to 48 h after ischemic stroke in mice. Interfering the protein expression or inhibiting the channel function of BEST1 by genetic manipulation displayed neuroprotective effects and improved motor functional deficits. Using electrophysiological recordings, we demonstrated that extrasynaptic glutamate release through BEST1 channel resulted in delayed excitotoxicity. Finally, we confirmed the therapeutic efficacy of pharmacological inhibition of BEST1 during 6-72 h post-ischemia in rodents. This delayed treatment prevented the expansion of infarct volume and the exacerbation of neurological functions. Our study identifies the glutamate-releasing BEST1 channel as a potential therapeutic target against ischemic stroke with a wide time window.

As intelligent production of traditional Chinese medicine （TCM） has been inevitable， informatization and automation of the production process have become the precondition for realizing intelligent manufacturing of TCM， of which the accumulation of critical material attribute and the critical quality attribute are the basis. The study of material properties is of great significance to achieve the quality control of the final product in the process， but there is a lack of systematic induction and summary of the research on the attribute of TCM pills. Therefore， the authors analyzed and summarized the attributes of raw materials， excipients and intermediates in the pill unit process according to the classification of powder properties， rheological properties and texture properties. What’s more， the impact of material attributes on the quality of the final product was summarized. Besides， this review summarized the attribute characterization techniques involved in the pill process and provided some suggestions for the characterization of product quality attributes. Finally， based on the concept of quality by design （QbD）， the authors proposed that the study of material attribute should be combined with process analytical technology （PAT）， and the focus of drug quality control should be moved forward to guide equipment upgrading， so as to realize intelligent continuous manufacturing of TCM pills.

Objective: To explore the safety and effectiveness of stereotactic body radiation therapy (SBRT) for oligometastases from colorectal cancer (CRC). Methods: This is a prospective, single-arm phase Ⅱ trial. Patients who had histologically proven CRC, 1 to 5 detectable liver or lung metastatic lesions with maximum diameter of any metastases ≤5 cm were eligible. SBRT was delivered to all lesions. The primary endpoint was 3-year local control (LC). The secondary endpoints were treatment-related acute toxicities of grade 3 and above, 1-year and 3-year overall survival (OS) and progression free survival (PFS). Survival analysis was performed using the Kaplan-Meier method and Log rank test. Results: Petients from 2016 to 2019 who were treated in Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. Forty-eight patients with 60 lesions were enrolled, including 37 liver lesions and 23 lung lesions. Forty-six patients had 1 or 2 lesions, with median diameter of 1.3 cm, the median biologically effective dose (BED(10)) was 100.0 Gy. The median follow-up was 19.5 months for all lesions. Twenty-five lesions developed local failure, the median local progression free survival was 15 months. The 1-year LC, OS and PFS was 70.2% (95% CI, 63.7%~76.7%), 89.0% (95% CI, 84.3%~93.7%) and 40.4% (95%CI, 33.0%~47.8%). The univariate analysis revealed that planning target volume (PTV) and total dose were independent prognostic factors of LC (P<0.05). For liver and lung lesions, the 1-year LC, OS and PFS was 58.7% and 89.4% (P=0.015), 89.3% and 86.5% (P=0.732), 30.5% and 65.6% (P=0.024), respectively. No patients developed acute toxicity of grade 3 and above. Conclusion: SBRT is safe and effective treatment method for oligometastases from CRC under precise respiratory motion management and robust quality assurance.
Colorectal Neoplasms ; Humans ; Liver/pathology* ; Lung/pathology* ; Prospective Studies ; Radiosurgery/methods*

ObjectiveTo investigate whether L-theanine exerts anti-pruritic effect on mice with imiquimod （IMQ）-induced psoriasis and its related mechanisms. MethodsWe established the psoriasis model by applying the IMQ ointment topically on mice back skin and oral （10 mg/kg∙d） or topical pretreatment （50， 125， 250 mmol/L， twice one day） of L-theanine was used as the treatment. Spontaneous behavior， such as scratching， was used to detect the therapeutic effect. Immunofluorescence （IF）， Western Blot （WB） and primary dorsal root ganglion （DRG） neuronal culture were used to investigate the mechanisms. ResultsOral administration of L-theanine had no apparent effect on IMQ-induced pruritus， but topical delivery in the lesional skin significantly improved the spontaneous behavior such as licking or biting and flinching in a dose-dependent manner. IF and WB results showed that L-theanine not only inhibited the overexpression of TNF-α in model mouse skin， but also prevented the abnormal growth of β3-tubulin⁺ nerve fibers and the upregulation of transient receptor potential vanilloid 1 （TRPV1）， an itch-related molecule. Moreover， the results from the experiments with primary cultured DRG neurons further confirmed that L-theanine directly reduced IMQ-induced abnormal outgrowth of CGRP⁺， β3-tubulin⁺ neurites in a concentration dependent manner. ConclusionsTopical application of L-theanine can relieve pruritus or discomfort in IMQ-induced psoriasis mouse model by inhibiting abnormal growth of skin nerve fiber endings. Therefore， L-theanine could be a potential treatment for chronic itch in psoriasis.

A questionnaire survey of 1 000 clinicians having experience in treating uncomplicated lower urinary tract infections from different levels of hospitals was conducted to mainly evaluate the applicability and effectiveness of clinical application of clinical practice guideline on traditional Chinese medicine therapy alone or combined with antibiotics for uncomplicated lower urinary tract infection(hereinafter referred to as Guideline). The research was conducted with the three-level quality control strictly throughout the process, and the data was real and reliable. The survey's results showed that: most clinicians considered that the Guideline had good clinical applicability. The availability and price of the recommended medicine were moderate. Traditional Chinese medicine had obvious features and advantages in treating lower urinary tract infection for it could reduce the usage of antibiotics and shorten the course of antibiotic application. In the recommendation section, clinicians proposed increasing medication guidance, updating the Guideline timely, as well as increasing treating methods and techniques, strengthen propaganda and promotion, and improve the use of evidence-based methods. In the evaluation of effectiveness, the majority of clinicians agreed that the definition in both traditional Chinese medicine (TCM) and Western medicine and differential diagnosis in the Guideline were accurately described and the basic principle of treatment as well as the treating method of TCM were recommended appropriately. The TCM formulas and Chinese patent medicine had good effect. Some clinicians suggested refining the syndrome differentiation of stranguria. Some clinicians considered that the formulas and herbs recommended in Guideline didn't have obvious effect and some had doubts about the manipulation of fumigation and washing in the part of other methods recommended in Guideline. Moreover, specification and procedure of manipulation of fumigation and washing using herbs and the acupuncture included in characteristic TCM therapy treating uncomplicated lower urinary tract infection remained to be developed.
Acupuncture Therapy ; Anti-Bacterial Agents ; Diagnosis, Differential ; Drugs, Chinese Herbal ; Humans ; Medicine, Chinese Traditional ; Urinary Tract Infections

Antihypertensive Agents ; therapeutic use ; Blood Pressure ; physiology ; China ; Consensus ; Humans ; Hypertension ; diagnosis ; drug therapy ; epidemiology