The thought of the way of heaven is the core philosophy of the Book of Changes， aiming to achieve the “pursuing good fortune and avoiding disaster” of human affairs or “seeking benefits and avoiding harm” in technology. The embedded value orientations， such as “continuous life”， “utmost sincerity”， and “correct desire”， provide ethical considerations for “seeking benefits and avoiding harm” in human gene editing technology. Among them， the thought of “continuous life” affirms the potential value of gene editing technology for human reproduction， diagnosis and treatment， or prevention of diseases and disabilities from two aspects of human reproduction and individual body and mind， while adopting a cautious attitude towards the risks of technology. The thought of “utmost sincerity” advocates that gene editing should be studied and applied following objective laws. The thought of “correct desire” puts forward the norm of human desire in human gene editing. In terms of the issue of offspring autonomy， the thought of the way of heaven provides some ethical support for parents to implement gene editing for their offspring for the sake of the offspring’s physical and mental development. In conclusion， the application of the thought of the way of heaven in the Book of Changes hopes that human gene editing technology will benefit mankind and provide it with broader prospects and a better future.

Alzheimer's disease (AD) is the leading cause of dementia, and no effective treatment has been developed for it thus far. Recently, the use of natural compounds in the treatment of neurodegenerative diseases has garnered significant attention owing to their minimal adverse reactions. Accordingly, the potential therapeutic effect of pterostilbene (PTS) on AD has been demonstrated in multiple in vivo and in vitro experiments. In this study, we systematically reviewed and summarized the results of these studies investigating the use of PTS for treating AD. Analysis of the literature revealed that PTS may play a role in AD treatment through various mechanisms, including anti-oxidative damage, anti-neuroinflammation, anti-apoptosis, cholinesterase activity inhibition, attenuation of β-amyloid deposition, and tau protein hyperphosphorylation. Moreover, PTS interferes with the progression of AD by regulating the activities of peroxisome proliferator-activated receptor alpha (PPAR-α), monoamine oxidase B (MAO-B), silent information regulator sirtuin 1 (SIRT1), and phosphodiesterase 4A (PDE4A). Furthermore, to further elucidate the potential therapeutic mechanisms of PTS in AD, we employed network pharmacology and molecular docking technology to perform molecular docking of related proteins, and the obtained binding energies ranged from -2.83 to -5.14 kJ/mol, indicating that these proteins exhibit good binding ability with PTS. Network pharmacology analysis revealed multiple potential mechanisms of action for PTS in AD. In summary, by systematically collating and summarizing the relevant studies on the role of PTS in treatment of AD, it is anticipated that this will serve as a reference for the precise targeted prevention and treatment of AD, either using PTS or other developed drug interventions.

Screening carbonyl reductases with the ability to catalyze the reduction of complex carbonyl compounds is of great significance for the biosynthesis of R-tolvaptan(R-TVP). In this study, the target carbonyl reductase in the crude enzyme extract of rabbit liver was separated, purified, and identified by ammonium sulfate precipitation, gel-filtration chromatography, ion exchange chromatography, affinity chromatography, and protein mass spectrometry. With the rabbit liver genome as the template, the gene encoding the carbonyl reductase rlsr5 was amplified by PCR and the recombinant strain was successfully constructed. After RLSR5 was purified by affinity chromatography, its enzymatic properties were characterized. The results indicated that the gene sequence of rlsr5 was 972 bp, encoding a protein with a molecular weight of 40 kDa. RLSR5 was a dimeric protein, and each monomer was composed of a (α/β)₈-barrel structure. RLSR5 could asymmetrically reduce 7-chloro-1-[2-methyl-4-[(2- methylbenzoyl)amino]benzoyl]-5-oxo-2,3,4,5-tetrahydro-1H-1-benzazepine (prochiral ketone, PK) to synthesize R-TVP. The specific activity of the enzyme was 36.64 U/mg, and the optical purity of the product was 99%. This enzyme showcased the optimal performance at pH 6.0 and 30 °C. It was independent of metal ions, with the activity enhanced by Mn²⁺. This study lays a foundation for the biosynthesis of tolvaptan of optical grade.
Animals ; Rabbits ; Alcohol Oxidoreductases/biosynthesis* ; Recombinant Proteins/metabolism* ; Escherichia coli/metabolism* ; Liver/enzymology*

Objective To analyze dynamic contrast-enhanced MRI (DCE-MRI) radiomic features using machine learning algorithms, and to develop and validate a predictive model for HER-2 status in breast cancer. Methods The DCE-MRI images of 272 treatment-naive female patients with breast cancer between 2020 and 2022 were included in this study. Regions of interest (ROIs) were manually segmented using 3d-Slicer software, and radiomic features were extracted. All patients were randomly divided into training sets or validation sets at a ratio of 4∶1. The least absolute shrinkage and selection operator (LASSO) algorithm was used for feature screening on the training set, followed by the development of predictive models using six machine learning algorithms. Internal cross-validation was performed to compare the performance differences between the models. The best-performing model was selected, trained on the training set, and evaluated on the validation set. Evaluation metrics included area under the curve (AUC), sensitivity, specificity, precision, and recall rate. Results The clinical data of patients in the training set and validation set showed no significant differences. Five features were identified by the LASSO algorithm. With these features, six machine learning models were developed on the training set, and their predictive performance was internally cross-validated using the bagging method. XGBoost model had the highest mean AUC (0.696), followed by RF model (0.690); XGBoost model had the highest mean precision (0.756), followed by LR and RF models. Therefore, XGBoost was the optimal model. An HER-2 predictive model was built using the XGBoost algorithm on the training set and applied to the validation set. The AUC, precision, sensitivity, and specificity of the predictive model on the validation set were calculated, and ROC curves, precision-recall curves, calibration curves, and decision-making curves were plotted. Conclusion This study constructed and evaluated different DCE-MRI radiomics-based machine learning models for predicting HER-2 status in breast cancer. Among them, XGBoost algorithm performed the best and has the potential to become a new non-invasive method for preoperative prediction of HER-2 status, providing reliable evidence for personalized clinical diagnosis and treatment.

The relevant data reported by laboratories carrying out serological prenatal screening in Jiangsu Province from 2021 to 2022 were retrospectively analyzed, and the provincial inter-ventricular quality assessment was realized by comparing the internal quality control data of laboratories. The quality control analysis platform of prenatal screening in Jiangsu Province was used to collect the determination methods, quality control data results of three concentrations, instrument platform, reagents and other relevant information of maternal serological screening quality control in early and middle pregnancy in each laboratory from 2021 to 2022. Firstly, the test results of each laboratory were statistically analyzed, and the precision of each laboratory was evaluated by the variation coefficient of indoor quality control. Secondly, the consistency was evaluated by comparing laboratories with different experimental platforms. The results showed that the passing rate of PAPP-A(pregnancy-associated plasma protein-A) precision test in 2021 and 2022 was 87.5% (7/8) and 92.3% (12/13), respectively. The accuracy pass rate of the Free β-hCG (free beta-human chorionic gonadotrophin)(early pregnancy) test in 2021 and 2022 was 97.5% (39/40) and 95.5% (42/44), and the accuracy pass rate of the AFP(alpha-fetal protein) test in 2021 and 2022 was 100% (40/40) and 90.9% (40/44), respectively. The accuracy pass rate of Free β-hCG (middle pregnancy) test in 2021 and 2022 was 100% (40/40) and 95.5% (42/44), respectively. The consistency of each index was 100%. In conclusion, the relevant data reported by laboratories carrying out serological prenatal screening in Jiangsu Province has a high consistency, and for a small number of laboratories with poor stability, it is necessary to make periodic evaluation and rectification according to the data analysis results, so as to improve the quality control management of maternal serological prenatal screening.

The relevant data reported by laboratories carrying out serological prenatal screening in Jiangsu Province from 2021 to 2022 were retrospectively analyzed, and the provincial inter-ventricular quality assessment was realized by comparing the internal quality control data of laboratories. The quality control analysis platform of prenatal screening in Jiangsu Province was used to collect the determination methods, quality control data results of three concentrations, instrument platform, reagents and other relevant information of maternal serological screening quality control in early and middle pregnancy in each laboratory from 2021 to 2022. Firstly, the test results of each laboratory were statistically analyzed, and the precision of each laboratory was evaluated by the variation coefficient of indoor quality control. Secondly, the consistency was evaluated by comparing laboratories with different experimental platforms. The results showed that the passing rate of PAPP-A(pregnancy-associated plasma protein-A) precision test in 2021 and 2022 was 87.5% (7/8) and 92.3% (12/13), respectively. The accuracy pass rate of the Free β-hCG (free beta-human chorionic gonadotrophin)(early pregnancy) test in 2021 and 2022 was 97.5% (39/40) and 95.5% (42/44), and the accuracy pass rate of the AFP(alpha-fetal protein) test in 2021 and 2022 was 100% (40/40) and 90.9% (40/44), respectively. The accuracy pass rate of Free β-hCG (middle pregnancy) test in 2021 and 2022 was 100% (40/40) and 95.5% (42/44), respectively. The consistency of each index was 100%. In conclusion, the relevant data reported by laboratories carrying out serological prenatal screening in Jiangsu Province has a high consistency, and for a small number of laboratories with poor stability, it is necessary to make periodic evaluation and rectification according to the data analysis results, so as to improve the quality control management of maternal serological prenatal screening.

To promote the development of extracellular vesicles of herbal medicine especially the establishment of standardization, led by the National Expert Committee on Research and Application of Chinese Herbal Vesicles, research experts in the field of herbal medicine and extracellular vesicles were invited nationwide with the support of the Expert Committee on Research and Application of Chinese Herbal Vesicles, Professional Committee on Extracellular Vesicle Research and Application, Chinese Society of Research Hospitals and the Guangdong Engineering Research Center of Chinese Herbal Vesicles. Based on the collation of relevant literature, we have adopted the Delphi method, the consensus meeting method combined with the nominal group method to form a discussion draft of "Consensus statement on research and application of Chinese herbal medicine derived extracellular vesicles-like particles (2023)". The first draft was discussed in online and offline meetings on October 12, 14, November 2, 2022 and April and May 2023 on the current status of research, nomenclature, isolation methods, quality standards and research applications of extracellular vesicles of Chinese herbal medicines, and 13 consensus opinions were finally formed. At the Third Academic Conference on Research and Application of Chinese Herbal Vesicles, held on May 26, 2023, Kewei Zhao, convenor of the consensus, presented and read the consensus to the experts of the Expert Committee on Research and Application of Chinese Herbal Vesicles. The consensus highlights the characteristics and advantages of Chinese medicine, inherits the essence, and keeps the righteousness and innovation, aiming to provide a reference for colleagues engaged in research and application of Chinese herbal vesicles at home and abroad, decode the mystery behind Chinese herbal vesicles together, establish a safe, effective and controllable accurate Chinese herbal vesicle prevention and treatment system, and build a bridge for Chinese medicine to the world.

Goiter is a kind of non-inflammatory and non-neoplastic hyperplasia and enlargement. Many studies have shown that substances such as thiocyanates and isothiocyanates can prevent the development of a variety of tumors. However, some studies have also found that such substances can lead to goiter. In this article, relevant information on common goitrogen in food are collected to explore their mechanism of action, laying a foundation for guiding residents to maintain a healthy and balanced diet.

Objectives:To analyze the risk factors related to infection after posterior lumbar interbody fusion(PLIF)by random forest algorithm and develop a prediction model,providing a certain reference for clinical prevention of surgical site infection(SSI)after PLIF.Methods:A retrospective study was conducted on the masked data of patients hospitalized for PLIF in the spinal surgery department of some third-level grade A hospitals in Beijing municipality and Hebei Province from June 2019 to June 2021 provided by Beijing Zhongwei Cloud Medical Data Analysis and Application Technology Research Institute through data processing and analysis.The classification data were analyzed and compared between SSI group and non-SSI group to obtain variables that significantly impacted the postoperative infection.SPSS Modeler 20 system was used as the tool for model development,and random forest algorithm was applied to analyze,obtaining the patient characteristics of postoperative infection,namely the infection model.Results:A total of 8,764 patients were included in study,and 373 patients were diagnosed with SSI,with an incidence rate of 4.4％(95％CI:2.2％to 6.5％).After statistical analysis,six variables,including obesity,ASA Ⅲ and above,prolonged operative time,chronic heart disease,diabetes and renal dysfunction,were independently associated with SSI.Classification with a random forest model yielded a high accuracy of 90.6％.The characteristics of patients prone to infection after PLIF(two models of infection)was:[(BMI=1)and(SD=1)and(ASA=1)and(RI=1)]or[(BMI=0)and(SD=1)and(DM=1)and(RI=1)].Conclusions:The random forest algorithm applied in this study could obtain an average accuracy of 90.6％,and two infection models were obtained as:(1)Patients with obesity,renal insufficiency,ASA grade Ⅲ or above,and operative time≥3h;(2)Patients who are not obese,but with diabetes,renal insufficiency,and the operative time ≥3h.

Objective:To examine the impact of berberine on polycystic ovary syndrome (PCOS) in mice, and to investigate the effects of berberine on the intestinal flora and the intestinal flora on PCOS.Methods:A mouse model of PCOS was established by administering dehydroepiandrosterone in combination with high fat diet, and the mouse model was given a berberine treatment. The study consisted of a blank control group (C group), a PCOS model group (M group) and a berberine treatment group (T group). During the experiment, the mice were closely monitored through timed body weight measurements and estrous cycle monitoring; intraperitoneal glucose tolerance test and insulin tolerance test were done. Upon completion of the pharmacological intervention, the wet weights of liver, ovary and fat deposits of mice were assessed and subjected to HE staining to confirm the success of PCOS modeling and the efficacy of berberine. Additionally, fecal samples were analyzed for intestinal flora through 16S rRNA analysis.Results:The PCOS model was established successfully, berberine alleviated the disturbance of estrous cycle in mice, and significantly alleviated fat accumulation and metabolic abnormalities of glucose in mice. The cross-sectional area of fat pad cells in T group was (2 858±146) μm2, which was significantly lower than that in M group [(9 518±347) μm2], and the difference was statistically significant ( P<0.001). The blood glucose levels in T group were significantly lower than those in M group ( P<0.05). The composition and structure of intestinal flora in mice of M group with PCOS (compared with C group) and in mice of T group after berberine intervention (compared with M group) were significantly altered. However, alpha diversity did not change significantly among three groups ( P>0.05). Conclusion:Berberine could alleviate PCOS by intervening in the alterations of gut microbiota.