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.

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.

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.

This study combined the herbal pair Platycodonis Radix-Curcumae Rhizoma(PR-CR) possessing an inhibitory effect on tumor cell proliferation and metastasis with the active component of traditional Chinese medicine(TCM) silibinin-loaded nanoparticles(NPs) with a regulatory effect on tumor microenvironment based on the joint effect on tumor cells and tumor microenvironment to inhi-bit cell metastasis. The effects of PR-CR on the cellular uptake of NPs and in vitro inhibition against breast cancer proliferation and metastasis were investigated to provide an experimental basis for improving nanoparticle absorption and enhancing therapeutic effects. Silibinin-loaded lipid-polymer nanoparticles(LPNs) were prepared by the nanoprecipitation method and characterized by transmission electron microscopy. The NPs were spherical or quasi-spherical in shape with obvious core-shell structure. The mean particle size was 107.4 nm, Zeta potential was-27.53 mV. The cellular uptake assay was performed by in vitro Caco-2/E12 coculture cell model and confocal laser scanning microscopy(CLSM), and the results indicated that PR-CR could promote the uptake of NPs. Further, in situ intestinal absorption assay by the CLSM vertical scanning approach showed that PR-CR could promote the absorption of NPs in the enterocytes of mice. The inhibitory effect of NPs on the proliferation and migration of 4T1 cells was analyzed using 4T1 breast cancer cells and co-cultured 4T1/WML2 cells, respectively. The results of the CCK8 assay showed that PR-CR-containing NPs could enhance the inhibition against the proliferation of 4T1 breast cancer cells. The wound healing assay indicated that PR-CR-containing NPs enhanced the inhibition against the migration of 4T1 breast cancer cells. This study enriches the research on oral absorption of TCM NPs and also provides a new idea for utilizing the advantages of TCM to inhibit breast cancer metastasis.
Humans ; Mice ; Animals ; Female ; Silybin/therapeutic use* ; Caco-2 Cells ; Polymers/chemistry* ; Nanoparticles/chemistry* ; Cell Line, Tumor ; Breast Neoplasms/pathology* ; Tumor Microenvironment

Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R² of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy ; Child ; Humans ; Female ; Glycated Hemoglobin ; Cohort Studies ; Diabetes Mellitus/diagnosis* ; Sensitivity and Specificity ; ROC Curve

Child ; Humans ; Manometry ; Esophagus/physiology*