Eight butyl-phthalides, senkyunolide K(1), senkyunolide N(2), butylphthalide(3), senkyunolide I(4), senkyunolide H(5),(Z)-butylidenephthalide(6),(Z)-ligustilide(7), and 3-butylidene-7-hydroxyphthalide(8) were isolated from the aerial part of Ligusticum sinense by column chromatography on silica gel column, ODS, Sephadex LH-20 and semi-preparative HPLC. Their structures were elucidated on the basis of spectroscopic and chemical data, especially NMR and MS. Compound 1 was a new butyl-phthalide and compounds 2-8 were isolated from the aerial part of L. sinense for the first time. Furthermore, the inhibitory activities of compounds 1-8 against the nitric oxide(NO) production induced by lipopolysaccharide(LPS) in mouse RAW264.7 macrophages in vitro were evaluated. The results showed that compounds 1-8 exerted inhibitory activities on NO production with IC_(50) of 19.34-42.16 μmol·L~(-1).
Animals ; Mice ; Nitric Oxide/biosynthesis* ; Ligusticum/chemistry* ; Benzofurans/isolation & purification* ; Drugs, Chinese Herbal/isolation & purification* ; Macrophages/immunology* ; RAW 264.7 Cells ; Molecular Structure

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

This study was conducted retrospectively on a cohort of 68 patients with steroid 5 α-reductase 2 (SRD5A2) deficiency and 46,XY disorders of sex development (DSD). Whole-exon sequencing revealed 28 variants of SRD5A2 , and further analysis identified seven novel mutants. The preponderance of variants was observed in exon 1 and exon 4, specifically within the nicotinamide adenine dinucleotide phosphate (NADPH)-binding region. Among the entire cohort, 53 patients underwent initial surgery at Sichuan Provincial People's Hospital (Chengdu, China). The external genitalia scores (EGS) of these participants varied from 2.0 to 11.0, with a mean of 6.8 (standard deviation [s.d.]: 2.5). Thirty patients consented to hormone testing. Their average testosterone-to-dihydrotestosterone (T/DHT) ratio was 49.3 (s.d.: 23.4). Genetic testing identified four patients with EGS scores between 6 and 9 as having this syndrome; and their T/DHT ratios were below the diagnostic threshold. Furthermore, assessments conducted using the crystal structure of human SRD5A2 have provided insights into the potential pathogenic mechanisms of these novel variants. These mechanisms include interference with NADPH binding (c.356G>C, c.365A>G, c.492C>G, and c.662T>G) and destabilization of the protein structure (c.727C>T). The c.446-1G>T and c.380delG variants were verified to result in large alterations in the transcripts. Seven novel variations were identified, and the variant database for the SRD5A2 gene was expanded. These findings contribute to the progress of diagnostic and therapeutic approaches for individuals with SRD5A2 deficiency.
Humans ; 3-Oxo-5-alpha-Steroid 4-Dehydrogenase/genetics* ; Disorder of Sex Development, 46,XY/blood* ; Male ; Membrane Proteins/genetics* ; Child, Preschool ; Child ; Retrospective Studies ; Adolescent ; Female ; Mutation ; Testosterone/blood* ; Infant ; Dihydrotestosterone/blood*

OBJECTIVE: To detect and analyze the expression and clinical significance of long non-coding RNA tyrosine kinase non-catalytic region adaptor protein 1-antisense RNA1 (NCK1-AS1) in patients with acute myeloid leukemia (AML). METHODS: 89 AML patients and 23 healthy controls were included from the People's Hospital Affiliated to Jiangsu University. Real-time quantitative polymerase chain reaction (RT-qPCR) was used to detect the expression levels of NCK1-AS1 and NCK1 in bone marrow samples. The relationship between the expression of NCK1-AS1 and the clinical characteristics of patients were analyzed, as well as the correlation between NCK1-AS1 and NCK1. RESULTS: The expression level of NCK1-AS1 in all AML, non-M3 AML and cytogenetically normal AML (CN-AML) patients was significantly higher than that in the control group (P < 0.01, P < 0.05, P < 0.01, respectively). In non-M3 AML, patients with high NCK1-AS1 expression had a significantly lower hemoglobin level than those with low NCK1-AS1 expression (P =0.036), furthermore, NCK1-AS1 ^high patients had shorter overall survival than NCK1-AS1^low patients (P =0.0378). Multivariate analysis showed that NCK1-AS1 expression was an independent adverse factor in patients with non-M3 AML ( HR =2.392, 95% CI :1.089-5.255, P =0.030). In addition, NCK1 expression was also significantly upregulated in all AML, non-M3 AML and CN-AML patients compared with controls (P < 0.01, P < 0.01, P < 0.001, respectively). There was a certain correlation between NCK1-AS1 and NCK1 expression (r =0.37, P =0.0058). CONCLUSION High expression of NCK1-AS1 in AML indicates poor prognosis of AML patients.
Humans ; Leukemia, Myeloid, Acute/genetics* ; RNA, Long Noncoding/genetics* ; Oncogene Proteins/genetics* ; Adaptor Proteins, Signal Transducing/genetics* ; Prognosis ; Male ; Female ; Middle Aged ; Adult ; Case-Control Studies ; Clinical Relevance

Objective:To investigate the effects of mild SARS-CoV-2 infection on hematological parameters of adult blood donors and the suitability of apheresis platelet donation,the changes of the hematological parameters in blood donors with mild infection of the SARS-CoV-2 Omicron variant strain were evaluated.Methods:Seventy-two blood donors with mild COVID-19 symptoms who donated consecutive apheresis platelets for 3 times from December 2022 to January 2023,42 cases among which were included in the infection-positive group,and 30 cases in the suspected infection group.Forty-two donors un-vaccinated against SARS-CoV-2,un-infected,and donated three consecutive apheresis platelets from October to November 2022 were included in the control group.The changes of blood routine testing in the positive group and the suspected infection group were retrospectively compared before(Time1)and after(Time2 and Time3)the onset of symptoms,three consecutive times(Time1,Time2,Time3)in the control group by repeated measures analysis of variance.The Bayesian discriminant method was used to establish a discriminant equation to determine whether the recent infection of SARS-CoV-2 occurred or not.Results:Simple effect of the number times of tests in the positive and suspected infection groups was significant(Finfection-positive group=6.98,P＜0.001,partial η2=0.79,Fsuspected infection group=4.31,P＜0.001,partial η2=0.70).The positive group and the suspected infection group had lower RBC,HCT,and HGB,and higher PLT and PCT at Time2 compared to Time1 and Time3(P＜0.05).The positive group and the suspected infection group showes RDW-CV and RDW-SD at Time3 higher than Time1 and Time2(P＜0.001).The simple effect of the number times of tests in the control group was not significant(F=0.96,P=0.55,partial η2=0.34).The difference of the whole blood count parameters in the control group for three times was not statistically significant(P＞0.05).We established a discriminant equation to determine whether the recent infection of SARS-CoV-2 occurred or not.The equation had an eigenvalue of 0.22,a canonical correlation of 0.43(x2=27.81,P＜0.001),and an analysis accuracy of 72.9％.Conclusion:The hematological indicators of RBC,HCT,HGB,PLT,PCT,RDW-CV and RDW-SD in blood donors who had infected with mild COVID-19 showed dynamic changes.The discriminant equation for whether they are infected recently with COVID-19 has a high accuracy rate.

AIM To study the effects and possible mechanism of Fuke Qianjin Formula and its modifications on sequelae of pelvic inflammatory disease(PID)in rats.METHODS The SD rats were randomly divided into the normal group,the sham operation group,the model group,Kangfuyan group(FYK,0.756 g/kg),Fuke Qianjin Formula group(FKQ,2.7 g/kg),Yijun Formula group(YJ,2.7 g/kg),Kangyan Formula group(KY,2.7 g/kg)and Buyi Formula group(BY,2.7 g/kg).After 28 days of corresponding administration by gavage,the rats were put to death to procure their uterus,spleen,thymus and liver for the calculation of the organs indices levels;the observation of the general morphology of uterus and oviduct and histopathological examination of uterus and oviduct;the measurement of.the serum levels of IL-1β,IL-18 and IL-6 by ELISA;the detection of the uterine expressions of TGF-β1,caspase-1,NLRP3,IL-18 and CTGF by Western blot;and the detection of the expressions of CD4+and CD8+in spleen lymphocytes by flow cytometry.RESULTS Compared with the model group,FKQ and YJ group,KY group and BY group displayed decreased indices levels of the uterus,spleen and thymus(P＜0.01);FKQ group and KY group displayed reduced uterine swelling,increased endometrial glands,and reduced inflammatory exudation(P＜0.01),and lower serum levels of IL-1β,IL-18 and IL-6(P＜0.01);FKQ group,KYgroup and BY group displayed decreased protein expressions of TGF-β1 and CTGF(P＜0.05,P＜0.01);FKQ group and KY group displayed decreased protein expressions of NLRP3,caspase-1 and IL-18(P＜0.05,P＜0.01);and FKQ group and BY group displayed increased CD4+/CD8+ratio(P＜0.01).CONCLUSION Being protective to sequelae of PID rat models,Fuke Qianjin Formula and its modifications may contribute their anti-inflammatory efficacy by inhibiting the activation of NLRP3 body to hinder the activation of caspase-1,reduce the secretion and release of pro-inflammatory factor IL-18,and thus inhibit pyroptosis.

Based on the interaction between supramolecule of traditional Chinese medicine and enterobacteria, the material basis of Rhei Radix et Rhizoma and Coptidis Rhizoma was explored. Scanning electron microscopy (SEM) and dynamic light scattering (DLS) were used to characterize the morphological differences of Rhubarb single decoction, Coptis single decoction and Rhubarb and Coptis co-decoction. An in vitro antibacterial model (E. coli, E. faecium and B. subtilis) was established to evaluate the damage effect of the combination of Rhei Radix et Rhizoma and Coptidis Rhizoma on enterobacteria. Ultra high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used to analyze the changes of chemical components of single decoctions and co-decoctions. The co-decoction of Rhei Radix et Rhizoma and Coptidis Rhizoma was turbid after decocting. The spherical particles of 300-400 nm were observed under SEM, and the co-decoction was more uniform and stable than that of single decoction. The interaction between supramolecules formed after the combination of Rhei Radix et Rhizoma and Coptidis Rhizoma and enterobacteria was significantly different from that of single decoction. In the process of interaction between supramolecules and enterobacteria, the spherical state was maintained, and the medicinal ingredients in Coptidis Rhizoma or Rhei Radix et Rhizoma were blocked, which could effectively alleviate the damage to enterobacteria. This study provided a reference for subsequent studies on the regulation of intestinal flora homeostasis by the combination of Rhei Radix et Rhizoma and Coptidis Rhizoma.

The effect of different concentrations of glycyrrhizic acid (GA) and Zn²⁺ on the self-assembly of metal complexes was investigated by forming metal complexes, and the properties and assembly mechanisms of the formed carrier-free supramolecular hydrogel were characterised. Scanning electron microscopy (SEM) and zeta potential were used to characterise the microscopic morphology and stability of the GA-Zn complex hydrogel, which had spherical-like particles of about 1 μm with good stability; the rheometer was used to detect its materialistic properties, which showed excellent stability, self-healing property and reversibility; through in vitro bacterial inhibition, it was found that the GA-Zn carrier-free supramolecular hydrogel has enhanced bacterial inhibition function after assembly. The hydrogel was also found to possess both anti-inflammatory and antioxidant efficacy when evaluated using LPS and H₂O₂ induced RAW 264.7 cell damage models, respectively. The above results suggest that GA-Zn hydrogel not only has good materialistic properties, but also possesses good antibacterial, anti-inflammatory and antioxidant activities, which has the value of clinical research as a carrier-free multi-functional antimicrobial dressing, and the present study provides a reference for the discovery of novel biomedical materials from active molecules of natural traditional Chinese medicine.

The current production of Chinese herbal decoction pieces faces several issues including strong subjectivity,unstable quality,low production efficiency,and a lack of intelligent systems.In order to expedite the intelligent transformation and upgrading of Chinese medicine processing,this paper delves deeply into the problems and challenges encountered in establishing a digital and intel-ligent production model for Chinese herbal pieces.Addressing the slow progress in fundamental research on traditional Chinese medi-cine processing mechanisms,the absence of online digital quality characterization techniques,the low level of production equipment in-telligence,and the lack of evaluation standards for high-quality decoction pieces,this paper proposes a"New Quality Productive Forces"formation approach driven by technological innovation.Through interdisciplinary integration methods,the paper explores the mechanisms of Chinese medicine processing in depth,clarifies the correlation between the processing procedures and the"medicinal properties-quality"relationship,and employs bionic sensing and artificial intelligence to achieve a holistic quality characterization of decoction pieces.Additionally,the use of cloud-edge collaborative big data systems is proposed to enhance intelligent upgrades of the production lines.The paper also aims to establish a high-quality decoction piece evaluation system integrating"physical-chemical-bio-logical"multimodal data fusion.This approach aims to steer the Chinese medicine processing towards becoming more efficient,precise,and sustainable,thereby promoting high-quality sustainable development of the Chinese herbal decoction industry and providing both theoretical and practical support for the modernization of traditional Chinese medicine.

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.