The main active compound, 3,4-dihydroxyacetophenone(3,4-DHAP), in the leaves of Ilex pubescens var. glaber, exhibits various pharmacological activities, including vasodilation and heart protection. Currently, natural extraction and chemical synthesis are the primary methods for obtaining 3,4-DHAP, but both approaches have inherent challenges. To address these problems, this study explored the whole-cell bioconversion of 1-(4-hydroxyphenol)-ethanol to 3,4-DHAP using recombinant Escherichia coli, cultivated in a green, cost-effective medium at room temperature and atmospheric pressure. Firstly, this study successfully constructed recombinant E. coli S1, which contained only the HpaBC gene, and recombinant E. coli S3, which contained both the Hped and HpaBC genes. The ability of S1 and S3 to synthesize 3,4-DHAP from their respective substrates was then evaluated through whole-cell bioconversion. Based on these results, the effects of four factors, i.e., substrate concentration, IPTG concentration, induction temperature, and transformation temperature, on the whole-cell bioconversion yield of S3 were investigated using an orthogonal experiment. The results showed that the factors influenced the yield in the following order: transformation temperature > induction temperature > IPTG concentration > substrate concentration. The optimal conditions were found to be a transformation temperature of 35 ℃, IPTG concentration of 0.1 mmol·L~(-1), induction temperature of 25 ℃, and substrate concentration of 10 mmol·L~(-1). Finally, the effect of transformation time on the yield of 3,4-DHAP was further examined under the optimal conditions. The results indicated that as the transformation time increased, the yield of 3,4-DHAP steadily increased. The highest yield of 260 mg·L~(-1) with a productivity of 17% was achieved after 72 hours of transformation. In conclusion, this study successfully achieved the whole-cell bioconversion of 1-(4-hydroxyphenol)-ethanol to 3,4-DHAP using recombinant E. coli for the first time, laying the groundwork for further optimization and development of the biosynthesis of 3,4-DHAP.
Escherichia coli/genetics* ; Acetophenones/chemistry* ; Ethanol/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Biotransformation

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia in the elderly. This study aimed to evaluate urban-rural disparities in its prevalence and management in elderly Chinese. METHODS: Consecutive participants aged ≥ 65 years attending outpatient clinics were enrolled for AF screening using handheld single-lead electrocardiogram (ECG) from April 2017 to December 2022. Each ECG rhythm strip was reviewed from the research team. AF or uninterpretable single-lead ECGs were referred for 12-lead ECG. Primary study outcome comparison was between rural and urban areas for the prevalence of AF. The Student's t-test was used to compare mean values of clinical characteristics between rural and urban participants, while the Pearson's chi-square test was used to compare between-group proportions. Multivariate stepwise logistic regression analysis was performed to estimate the association between AF and various patient characteristics. RESULTS: The 29,166 study participants included 13,253 men (45.4%) and had a mean age of 72.2 years. The 7073 rural participants differed significantly (P ≤ 0.02) from the 22,093 urban participants in several major characteristics, such as older age, greater body mass index, and so on. The overall prevalence of AF was 4.6% (n = 1347). AF was more prevalent in 7073 rural participants than 22,093 urban participants (5.6% vs. 4.3%, P < 0.01), before and after adjustment for age, body mass index, blood pressure, pulse rate, cigarette smoking, alcohol consumption and prior medical history. Multivariate logistic regression analysis identified overweight/obesity (OR = 1.35, 95% CI: 1.17-1.54) in urban areas and cigarette smoking (OR = 1.62, 95% CI: 1.20-2.17) and alcohol consumption (OR = 1.42, 95% CI: 1.04-1.93) in rural areas as specific risk factors for prevalent AF. In patients with known AF in urban areas (n = 781) and rural areas (n = 338), 60.6% and 45.9%, respectively, received AF treatment (P < 0.01), and only 22.4% and 17.2%, respectively, received anticoagulation therapy (P = 0.05). CONCLUSIONS In China, there are urban-rural disparities in AF in the elderly, with a higher prevalence and worse management in rural areas than urban areas. Our study findings provide insight for health policymakers to consider urban-rural disparity in the prevention and treatment of AF.

This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Objective To summarize the epidemiological and clinical features of infectious diseases of the central nervous system(CNS)by a single-center analysis.Methods A retrospective analysis was conducted on the data of 1247 cases of CNS infectious diseases diagnosed and treated in the First Medical Center of PLA General Hospital from 2001 to 2020.Results The data for this group of CNS infectious diseases by disease type in descending order of number of cases were viruses 743(59.6％),Mycobacterium tuberculosis 249(20.0％),other bacteria 150(12.0％),fungi 68(5.5％),parasites 18(1.4％),Treponema pallidum 18(1.4％)and rickettsia 1(0.1％).The number of cases increased by 177 cases(33.1％)in the latter 10 years compared to the previous 10 years(P<0.05).No significant difference in seasonal distribution pattern of data between disease types(P>0.05).Male to female ratio is 1.87︰1,mostly under 60 years of age.Viruses are more likely to infect students,most often at university/college level and above,farmers are overrepresented among bacteria and Mycobacterium tuberculosis,and more infections of Treponema pallidum in workers.CNS infectious diseases are characterized by fever,headache and signs of meningeal irritation,with the adductor nerve being the more commonly involved cranial nerve.Matagenomic next-generation sequencing improves clinical diagnostic capabilities.The median hospital days for CNS infectious diseases are 18.00(11.00,27.00)and median hospital costs are ￥29,500(￥16,000,￥59,200).The mortality rate from CNS infectious diseases is 1.6％.Conclusions The incidence of CNS infectious diseases is increasing last ten years,with complex clinical presentation,severe symptoms and poor prognosis.Early and accurate diagnosis and standardized clinical treatment can significantly reduce the morbidity and mortality rate and ease the burden of disease.

Objective To investigate the clinical efficacy of Bushen Yijing Decoction for the treatment of xerophthalmia of kidney yang deficiency type and to observe its effect on serum Th1/Th17 cytokines.Methods From January 2021 to January 2023,a total of 96 patients with xerophthalmia of kidney yang deficiency type were selected as the study objects.According to the treatment methods,the patients were divided into observation group and control group,with 48 cases in each group.The control group was treated with Sodium Hyaluronate Eye Drops externally,and the observation group was given oral use of Bushen Yijing Decoction together with Sodium Hyaluronate Eye Drops externally.The course of treatment for the two groups covered 21 days.The changes of tear film break-up time(BUT),corneal fluorescein staining(FL)score,SchirmerⅠtest(SIT)value,serum Th1/Th17 cytokines,Ocular Surface Disease Index(OSDI)questionnaire scores,and 25-Item National Eye Institute Visual Function Questionnaire(NEI-VFQ-25)score in the two groups were observed before and after treatment.Moreover,the clinical efficacy and incidence of adverse reactions were compared between the two groups.Results(1)After 21 days of treatment,the total effective rate of the observation group was 95.83%(46/48),and that of the control group was 70.83%(34/48).The intergroup comparison(tested by chi-square test)showed that the clinical efficacy of the observation group was significantly superior to that of the control group(P＜0.01).(2)After treatment,the ocular surface function indicators of BUT and SIT values in the two groups were higher and the FL values were lower than those before treatment(P＜0.05).The increase of BUT and SIT values and the decrease of FL values in the observation group were significantly superior to those in the control group(P＜0.01).(3)After treatment,the levels of serum cytokines of interleukin 17(IL-17),tumor necrosis factor alpha(TNF-α)and interferon gamma(IFN-γ)in the two groups were lower than those before treatment(P＜0.05),and the decrease of serum IL-17,TNF-α and IFN-γ levels in the observation group was significantly superior to that in the control group(P＜0.01).(4)After treatment,the questionnaire scores of OSDI in the two groups were lower and the NEI-VFQ-25 scores were higher than those before treatment(P＜0.05).The decrease of OSDI scores and the increase of NEI-VFQ-25 scores in the observation group were significantly superior to those in the control group(P＜0.01).(5)The incidence of adverse reactions in the observation group was 4.17%(2/48),and that in the control group was 8.33%(4/48).There was no significant difference between the two groups(P＞0.05).Conclusion Bushen Yijing Decoction can enhance the clinical efficacy of xerophthalmia of kidney yang deficiency type,and the decoction is effective on alleviating the eye discomforts,improving the ocular surface function of patients,regulating the levels of Th1/Th17 cytokines,and relieving the inflammatory response without inducing severe adverse reactions while with high safety.

Objective To explore the medication rules of Professor HUANG Li for the treatment of recurrent angina pectoris after percutaneous coronary intervention(PCI)for coronary heart disease by data mining method.Methods The prescriptions for effective cases of recurrent angina pectoris after PCI for coronary heart disease treated by Professor HUANG Li in the outpatient department of China-Japan Friendship Hospital were collected.SPSS Statistics 26.0 software and SPSS Modeler 18.0 software were used for frequency statistics,analysis of the therapeutic actions,properties,flavors and meridian tropism of the prescribed herbs as well as association rule analysis,cluster analysis and factor analysis of the herbs.Results A total of 344 Chinese medicine prescriptions were obtained,involving 209 herbs,with a cumulative frequency of 5 874 times.The top 30 Chinese medicinals were named as the high-frequency Chinese medicines,and the herbs with the frequency over 100 times in descending order were Astragali Radix,Chuanxiong Rhizoma,Puerariae Lobatae Radix,Rhodiolae Crenulatae Radix et Rhizoma,Notoginseng Radix et Rhizoma,Poria,Dalbergiae Odoriferae Lignum,Atractylodis Macrocephalae Rhizoma,Curcumae Rhizoma,Sparganii Rhizoma,Dioscoreae Rhizoma,Citri Reticulatae Pericarpium,Pinelliae Rhizoma Praeparatum,Codonopsis Radix,and Glycyrrhizae Radix et Rhizoma.The high-frequency Chinese medicinals were mostly classified as blood-activating and stasis-resolving drugs and qi-replenishing drugs.The medicinal properties of the drugs were characterized by being warm,mild,or cold,the flavors were predominated by being sweet,pungent or bitter,and the medicinals usually had the meridian tropism of the spleen,lung and liver meridians.A total of 30 association rules were mined out,cluster analysis yielded 5 herbal groups,and factor analysis yielded 11 groups of common factors.Conclusion For the treatment of cardiovascular diseases,Professor HUANG Li follows the theory of qi,blood and water,and especially pays more attention to the ascending and descending of qi movement.For qi deficiency and blood stasis contribute to the basic pathogenesis of recurrent angina pectoris after PCI,the therapy of benefiting qi,activating blood and removing stasis is recommended.Moreover,the simultaneous regulation of five zang-organs and simultaneous use of the cold and warm herbs are performed,and the herbs of benefiting qi and invigorating spleen,resolving phlegm and inducing diuresis,tranquilizing mind,promoting qi and dissipating masses,and activating blood to eliminate stasis are used for adjuvant therapy.

Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.

Objective To observe clinical curative effect of long-acting recombinant human growth hormone(rhGH)and short-acting rhGH,and their influences on growth and development indexes,serum thyroid function indexes and insulin in children with idiopathic short stature(ISS).Methods The children with ISS were randomly divided into long-acting group[subcutaneous injection of polyethylene glycol recombinant human growth hormone(0.2 mg·kg-1·w-1,qw)]and short-acting group[subcutaneous injection of recombinant human growth hormone(0.15 U·kg-1·d-1)at 30 min before sleep every night].All children were treated for 12 months.The growth and development[growth velocity(GV),height standard deviation of points(Ht SDS)],thyroid function,fasting insulin(FINS)and insulin-like growth factor-1(IGF-1)were compared between the two groups.The occurrence of adverse reactions was recorded.Results In the 68 children,there were 4 cases with loss to follow-up and shedding due to personal reasons.Finally,there were 33 cases in long-acting group and 31 cases in short-acting group for statistical analysis.After 6 months of treatment,GV in long-acting group and short-acting group were(4.53±0.56)and(3.97±0.48)cm·year-1,Ht SDS were-2.45±0.23 and-2.66±0.21,IGF-1 levels were(551.62±41.48)and(524.36±37.84)mg·mL-1,respectively.After 12 months of treatment,GV in long-acting group and the short-acting group were(9.44±0.82)and(8.46±0.77)cm·year-1,Ht SDS were-1.68±0.19 and-1.91±0.20,IGF-1 levels were(642.46±36.49)and(593.14±40.12)mg·mL-1,differences were statistically significant(all P＜0.05).There were no significant differences in FT3,FT4,TSH and FINS between the two groups after treatment(all P＞0.05).There was no significant difference in the total incidences of adverse drug reactions between long-acting group and short-acting group[6.06％(2 cases/33 cases)vs 12.90％(4 cases/31 cases),P＞0.05].Conclusion Compared with short-acting rhGH,promotion effect of long-acting rhGH is better on short-term growth and development in ISS children,which can increase level of serum IGF-1 and has no obvious effects on thyroid function,with good safety.

Objective The aim of this study is to investigate the prognostic molecular features to predict the prognosis of gastric cancer(GC)and its relationship with immune cell infiltration based on comprehensive analysis of telomere-related gene(TRG)expression data.Methods The survival and prognostic correlation of GC telomere-related gene were analyzed by combining TCGA and GEO database.Two telomere related gene clusters were identified by unsupervised clustering,a prognostic model was constructed based on Lasso regression and multi-factor cox regression analysis,and a nomogram was constructed combined with clinical traits to predict the survival of patients.Meanwhile,risk difference analysis was performed,ROC curve was used to evaluate the prediction accuracy of the model,and immune cell infiltration analysis was performed on the samples.Results A prognostic model containing 12 genes,including HEYL,SPC25,SRPX2,PDK4,LOXL4,SOX15,SLC39A4,MAGEA3,SHISA2,DEFB1,SLC27A2 and C1QTNF5,was constructed to evaluate the prognosis of GC patients.An integrated risk profile was constructed to predict 1-year,3-year,and 5-year overall survival(OS)of GC patients.The survival rate in the high-risk group was significantly lower than that in the low-risk group(P＜0.05),and the proportion of immune cell subtypes in different risk groups was different.Conclusion This study identifies a TRG-derived molecular subtype in GC and develops a new prognostic scoring model,highlighting the potential value of TRG in GC prognosis and immunotherapy.