AIM To study the chemical constituents from Codonopsis pilosula(Franch.)Nannf in Shanxi and their anti-inflammatory activities.METHODS The 70％ ethanol extract from C.pilosula in Shanxi was isolated and purified by silica gel,ODS and preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their in vitro anti-inflammatory activities were evaluated by RAW264.7 model.RESULTS Sixteen compounds were isolated and identified as ethylsyringin(1),7-O-ethyltangshenoside Ⅱ(2),triandrin(3),trans-isoconiferin(4),methylsyringin(5),9-acetoxy syringin(6),cordifolioidyne B(7),codonopiloenynenoside A(8),codonopilodiynoside F(9),pratialin B(10),lobetyolinin(11),lariciresinol-4-O-β-D-glucoside(12),dihydrodehydrodiconiferyl alcohol 4′-O-β-D-glucoside(13),atractylenolid Ⅲ(14),baimantuoluoamide B(15),benzyl primeveroside(16).Compounds 1-2,5,7-11 and 13-15 had certain anti-inflammatory activities,among which compounds 11,14-15 had higher activities,whose IC50 values were(18.23±4.18),(17.73±3.12),(14.89±2.47)μmol/L,respectively.CONCLUSION Compounds 3,6,13,16 are first isolated from Campanulaceae,2,5,15 are first found from this plant.Compounds 11,14 and 15 have good anti-inflammatory activities.

Triterpenoids widely exist in nature,displaying a variety of pharmacological activities.Determining triterpenoids in different matrices,especially in biological samples holds great significance.High-performance liquid chromatography(HPLC)has become the predominant method for triterpenoids analysis due to its exceptional analytical performance.However,due to the structural similarities among botanical samples,achieving effective separation of each triterpenoid proves challenging,necessitating significant improvements in analytical methods.Additionally,triterpenoids are characterized by a lack of ultraviolet(UV)absorption groups and chromophores,along with low ionization efficiency in mass spectrometry.Consequently,routine HPLC analysis suffers from poor sensitivity.Chemical derivatization emerges as an indispensable technique in HPLC analysis to enhance its performance.Considering the structural characteristics of triterpenoids,various derivatization reagents such as acid chlorides,rho-damines,isocyanates,sulfonic esters,and amines have been employed for the derivatization analysis of triterpenoids.This review comprehensively summarized the research progress made in derivatization strategies for HPLC detection of triterpenoids.Moreover,the limitations and challenges encountered in previous studies are discussed,and future research directions are proposed to develop more effective derivatization methods.

Atherosclerosis(AS)is a chronic inflammatory disease of large and medium-sized arteries that leads to ischemic heart disease,stroke,and peripheral vascular disease.Despite the current treatments,mortality and disability still remain high.Sonodynamic therapy(SDT),a non-invasive and localized methodology,has been developed as a promising new treatment for inhibiting atherosclerotic progression and sta-bilizing plaques.Promising progress has been made through cell and animal assays,as well as clinical trials.For example,the effect of SDT on apoptosis and autophagy of cells in AS,especially macrophages,and the concept of non-lethal SDT has also been proposed.In this review,we summarize the ultrasonic parameters and known sonosensitizers utilized in SDT for AS;we elaborate on SDTs therapeutic effects and mechanisms in terms of macrophages,T lymphocytes,neovascularization,smooth muscle cells,lipid,extracellular matrix and efferocytosis within plaques;additionally,we discuss the safety of SDT.A comprehensive summary of the confirmed effects of SDT on AS is conducted to establish a framework for future researchers.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Eleven compounds were isolated from the ethyl acetate fraction of the 95% aqueous ethanol extract of the roots of Sophora tonkinensis by silica gel, ODS, Sephadex LH-20 column chromatography, and semi-preparative RP-HPLC. Their structures were identified as 7-hydroxy-8-isopentenylchromone (1), furo[2,3-f]-1,3-benzodioxole-7-carboxylic acid (2), 6-[3-(2′,4′-dihydroxyphenyl)acryloyl]-7-hydroxy-2,2-dimethyl-8-(3-methyl-2-butenyl)-2H-benzopyran (3), flemichapparin B (4), tectorigenin (5), genistein (6), 6-hydroxy-1,3-benzodioxole-5-carboxylic acid (7), vanillic acid (8), protocatechuic acid (9), 2,4-dihydroxybenzoic acid (10), and p-hydroxybenzoic acid (11) through extensive spectroscopic data (IR, UV, HR-ESI-MS, and NMR spectra). Among them, compounds 1 and 2 were new compounds. In addition, compound 3 showed significant α-glucosidase and protein tyrosine phosphatase-1B (PTP1B) inhibitory activities with IC₅₀ values of 5.595 and 0.320 μmol·L^-1, respectively.

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.

AIM: To investigate the correlation between the ocular demodex infection and the composition of meibum lipid flora.METHODS: A non-interventional and observational study was performed on recruited 39 patients in our hospital between July 2020 and February 2021. They were divided into control group(n=14), meibomian gland dysfunction(MGD)group(n=14), and demodex group(FM, n=11)according to the presence or absence of demodex infection or MGD. High-throughput sequencing of V3-V4 fragment of 16S rRNA gene was performed on the meibomian ester samples of the three groups of subjects, and bioinformatics analysis was performed on the sequencing data to study the composition and difference of meibum lipid flora in the subjects of ocular demodex.RESULTS: Pseudomonas and Comamonas in FM group were significantly higher than those in control group and MGD group(P<0.05), while Ralstonia in Demodex infection group was significantly lower than that in control group and MGD group(P<0.05). The microbial richness and community diversity of meibum lipid flora of the MGD group and the FM group were significantly higher than those of the control group(P<0.05).CONCLUSION: Ocular demodex infection changed the composition of meibum lipid flora and increased the microbial richness and community diversity of meibum lipid flora.

The development of chemoresistance which results in a poor prognosis often renders current treatments for colorectal cancer(CRC).In this study,we identified reduced microvessel density(MVD)and vascular immaturity resulting from endothelial apoptosis as therapeutic targets for overcoming chemoresistance.We focused on the effect of metformin on MVD,vascular maturity,and endothelial apoptosis of CRCs with a non-angiogenic phenotype,and further investigated its effect in overcoming chemoresistance.In situ transplanted cancer models were established to compare MVD,endothelial apoptosis and vascular maturity,and function in tumors from metformin-and vehicle-treated mice.An in vitro co-culture system was used to observe the effects of metformin on tumor cell-induced endothelial apoptosis.Transcriptome sequencing was performed for genetic screening.Non-angiogenic CRC developed inde-pendently of angiogenesis and was characterized by vascular leakage,immaturity,reduced MVD,and non-hypoxia.This phenomenon had also been observed in human CRC.Furthermore,non-angiogenic CRCs showed a worse response to chemotherapeutic drugs in vivo than in vitro.By suppressing endo-thelial apoptosis,metformin sensitized non-angiogenic CRCs to chemo-drugs via elevation of MVD and improvement of vascular maturity.Further results showed that endothelial apoptosis was induced by tumor cells via activation of caspase signaling,which was abrogated by metformin administration.These findings provide pre-clinical evidence for the involvement of endothelial apoptosis and subsequent vascular immaturity in the chemoresistance of non-angiogenic CRC.By suppressing endothelial apoptosis,metformin restores vascular maturity and function and sensitizes CRC to chemotherapeutic drugs via a vascular mechanism.

Child ; Humans ; Inflammatory Bowel Diseases ; Organic Anion Transporters/genetics*

Allergic diseases affect about 40% of the world's population. Environmental factors are important in the occurrence and development of allergic diseases. Dust mites are one of the most important allergens in the indoor environment. The World Health Organization proposes the "four-in-one, combination of prevention and treatment" treatment principle for allergic diseases, in which environmental control to avoid or reduce allergens is the first choice for treatment. Modern people spend much more time at home (including sleeping) than outdoors, and the control of the home environment is particularly critical. This practice introduces the hypoallergenic home visit program, which including home environment assessment, environmental and behavioral intervention guidance, and common household hypoallergenic supplies and service guidance for the patient's home environment. The real-time semi-quantitative testing of dust mite allergens, qualitative assessments of other indoor allergens, record of patients' household items and lifestyle, and precise, individualized patient prevention and control education will be conducted. The hypoallergenic home visit program improves the doctors' diagnosis and treatment data dimension, and becomes a patient management tool for doctors outside the hospital. It also helps patients continue to scientifically avoid allergens and irritants in the environment, effectively build a hypoallergenic home environment, reduce exposure to allergens in the home environment, and achieve the goal of combining the prevention and treatment of allergic diseases.
Humans ; Hospitals ; Life Style ; Sleep