1.Differences in chemical components and quality analysis of Gardenia jasminoides before and after processing with ginger
Lihua TANG ; Yu WU ; Xuedi HUANG ; Xiaolian HU ; Yi TANG ; Zilong CHEN ; Xiaofan XIAO ; Xide YE
China Pharmacy 2026;37(2):168-173
OBJECTIVE To analyze the differences in chemical components of Gardenia jasminoides before and after processing with ginger, and to evaluate the quality differences among different producing areas. METHODS Ultra-high performance liquid chromatography-tandem time-of-flight mass spectrometry was used to analyze the compositional differences of G. jasminoides before and after processing with ginger. The water content, total ash, and ethanol-soluble extract content of ginger- processed G. jasminoides were determined according to the 2020 edition of Chinese Pharmacopoeia. High performance liquid chromatography was adopted to determine the contents of genipin gentiobioside, geniposide, crocin Ⅰ and crocin Ⅱ in ginger- processed G. jasminoides. RESULTS A total of 49 chemical components were identified from raw G. jasminoides and ginger- processed G. jasminoides, including 14 flavonoids, 15 iridoids, 10 organic acids, 2 alkaloids and 8 other compounds. Among them, 42 components were detected in raw G. jasminoides, 28 in ginger-processed G. jasminoides, and 21 components were common to both. After processing with ginger, raw G. jasminoides lost 21 components (including iridoids, flavonoids, alkaloids, and others), while 7 chemical components were added (including coumarins, organic acids, organic acid esters, and flavonoids). For the 15 batches of ginger-processed G. jasminoides, the water content ranged from 5.64% to 7.11%, total ash from 2.92% to 4.87%, and ethanol-soluble extract from 40.61% to 58.02%. The average contents of genipin gentiobioside, geniposide, crocin Ⅰ and crocin Ⅱ were 0.108 7, 0.542 2, 0.565 0, and 0.012 5 mg/g, respectively. CONCLUSIONS After processing with ginger, G. jasminoides loses 21 components, while 7 new components are added. Differences are observed in the water content, total ash, ethanol-soluble extract, and the contents of genipin gentiobioside, geniposide, crocin Ⅰ, and crocin Ⅱ of ginger-processed G. jasminoides from different producing areas. Notably, samples from Fujian exhibit high contents of genipin gentiobioside and ethanol-soluble extract, while samples from Jiangxi have a high content of crocin Ⅰ.
2.Antiviral therapy for chronic hepatitis B with mildly elevated aminotransferase: A rollover study from the TORCH-B trial
Yao-Chun HSU ; Chi-Yi CHEN ; Cheng-Hao TSENG ; Chieh-Chang CHEN ; Teng-Yu LEE ; Ming-Jong BAIR ; Jyh-Jou CHEN ; Yen-Tsung HUANG ; I-Wei CHANG ; Chi-Yang CHANG ; Chun-Ying WU ; Ming-Shiang WU ; Lein-Ray MO ; Jaw-Town LIN
Clinical and Molecular Hepatology 2025;31(1):213-226
Background/Aims:
Treatment indications for patients with chronic hepatitis B (CHB) remain contentious, particularly for patients with mild alanine aminotransferase (ALT) elevation. We aimed to evaluate treatment effects in this patient population.
Methods:
This rollover study extended a placebo-controlled trial that enrolled non-cirrhotic patients with CHB and ALT levels below two times the upper limit of normal. Following 3 years of randomized intervention with either tenofovir disoproxil fumarate (TDF) or placebo, participants were rolled over to open-label TDF for 3 years. Liver biopsies were performed before and after the treatment to evaluate histopathological changes. Virological, biochemical, and serological outcomes were also assessed (NCT02463019).
Results:
Of 146 enrolled patients (median age 47 years, 80.8% male), 123 completed the study with paired biopsies. Overall, the Ishak fibrosis score decreased in 74 (60.2%), remained unchanged in 32 (26.0%), and increased in 17 (13.8%) patients (p<0.0001). The Knodell necroinflammation score decreased in 58 (47.2%), remained unchanged in 29 (23.6%), and increased in 36 (29.3%) patients (p=0.0038). The proportion of patients with an Ishak score ≥ 3 significantly decreased from 26.8% (n=33) to 9.8% (n=12) (p=0.0002). Histological improvements were more pronounced in patients switching from placebo. Virological and biochemical outcomes also improved in placebo switchers and remained stable in patients who continued TDF. However, serum HBsAg levels did not change and no patient cleared HBsAg.
Conclusions
In CHB patients with minimally raised ALT, favorable histopathological, biochemical, and virological outcomes were observed following 3-year TDF treatment, for both treatment-naïve patients and those already on therapy.
3.Unmet Need for Palliative Care in Pediatric Hematology/Oncology Populations
Yi-Lun WANG ; Wan-Ju LEE ; Tsung-Yen CHANG ; Shih-Hsiang CHEN ; Chia-Chi CHIU ; Yi-Wen HSIAO ; Yu-Chuan WEN ; Tang-Her JAING
Clinical Pediatric Hematology-Oncology 2025;32(1):19-22
Background:
Delivering a poor prognosis to patients and their families is critically challenging in pediatric populations. The application of palliative care (PC) provides a bridge between accepting the occurrence of mortality and offering lifelong support.However, little is known about the specifics of PC. This study aims to explore the unmet need for PC in pediatric populations.
Methods:
We retrospectively reviewed the medical records of mortality cases in the Department of Pediatric Hematology and Oncology at Chang Gung Memorial Hospital. Statistical tests, including Chi-square and Student’s t-tests, were applied to determine the differences between early and late intervention groups in terms of the timing of PC introduction.
Results:
During the study period, 41 patients were included. Their median age was 11.8 years (IQR, 7.6-15.9). The majority of the disease statuses were refractory or relapsing (R/R). The incidence of memento application was significantly higher in the early intervention group (47.6% vs. 10%, P=0.0081). Vital signs variations tended to be end-of-life (EoL) indicators in this study.
Conclusion
The early introduction of PC encourages families to accompany their beloved child. EoL signs in the pediatric population include vital sign variations. With the presence of relevant EoL signs, clinical physicians can apply PC earlier to meet the needs.
4.Predictive Modeling of Symptomatic Intracranial Hemorrhage Following Endovascular Thrombectomy: Insights From the Nationwide TREAT-AIS Registry
Jia-Hung CHEN ; I-Chang SU ; Yueh-Hsun LU ; Yi-Chen HSIEH ; Chih-Hao CHEN ; Chun-Jen LIN ; Yu-Wei CHEN ; Kuan-Hung LIN ; Pi-Shan SUNG ; Chih-Wei TANG ; Hai-Jui CHU ; Chuan-Hsiu FU ; Chao-Liang CHOU ; Cheng-Yu WEI ; Shang-Yih YAN ; Po-Lin CHEN ; Hsu-Ling YEH ; Sheng-Feng SUNG ; Hon-Man LIU ; Ching-Huang LIN ; Meng LEE ; Sung-Chun TANG ; I-Hui LEE ; Lung CHAN ; Li-Ming LIEN ; Hung-Yi CHIOU ; Jiunn-Tay LEE ; Jiann-Shing JENG ;
Journal of Stroke 2025;27(1):85-94
Background:
and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking.
Methods:
This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance.
Results:
Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal.
Conclusions
The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.
5.Discriminating Tumor Deposits From Metastatic Lymph Nodes in Rectal Cancer: A Pilot Study Utilizing Dynamic Contrast-Enhanced MRI
Xue-han WU ; Yu-tao QUE ; Xin-yue YANG ; Zi-qiang WEN ; Yu-ru MA ; Zhi-wen ZHANG ; Quan-meng LIU ; Wen-jie FAN ; Li DING ; Yue-jiao LANG ; Yun-zhu WU ; Jian-peng YUAN ; Shen-ping YU ; Yi-yan LIU ; Yan CHEN
Korean Journal of Radiology 2025;26(5):400-410
Objective:
To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer.
Materials and Methods:
A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs.
Results:
All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027).
Conclusion
The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.
6.Differential Analysis of Heart Rate Variability in Repeated Continuous Performance Tests Among Healthy Young Men
Chung-Chih HSU ; Tien-Yu CHEN ; Jia-Yi LI ; Terry B. J. KUO ; Cheryl C. H. YANG
Psychiatry Investigation 2025;22(2):148-155
Objective:
Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC).
Methods:
We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0.
Results:
Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II.
Conclusion
A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.
7.Exploration of the role of PIVAS pharmacists in optimization of parenteral nutrition prescription systems and medication safety monitoring
Xingru DOU ; Di YU ; Ying CHEN ; Xiujuan PAN ; Yi SUN ; Jianguo ZHU
China Pharmacy 2025;36(11):1394-1398
OBJECTIVE To provide references for ensuring the safety of prescription preparation, dispensing, and use of parenteral nutrition solution, as well as for expanding the scope of pharmaceutical services provided by pharmacists in the Pharmacy Intravenous Admixture Services (PIVAS). METHODS Under the guidance of PIVAS pharmacists, the rules for reviewing medical orders of parenteral nutrition in the PIVAS system and the information displayed on the infusion labels of finished parenteral nutrition solutions were refined. The process management of dispensing parenteral nutrition solution was strengthened, and detailed quality control and inspection rules were formulated. Additionally, Clinical Safety Monitoring Form for Finished Parenteral Nutrition Infusions was designed to conduct clinical monitoring and inspections for abnormalities in the finished infusions, infusion operations, and complications that may arise during the use of finished parenteral nutrition infusions. The implementation effects of the aforementioned optimization/inspection measures were evaluated by comparing data on the efficiency of medical order review for parenteral nutrition, the rate of irrational medical orders, the compliance rate of vascular access selection and infusion rate standardization, the rate of dispensing error, as well as the abnormalities occurring during clinical use, before and after the optimization/inspection initiatives were put into place. RESULTS The optimized prescription review system achieved automatic review of medical orders for parenteral nutrition, enhancing the efficiency of order review. The average time taken to review one parenteral nutrition medical order was reduced from approximately 1 minute to 10 seconds. The irrational rate of parenteral nutrition orders decreased by 31.87%. The dispensing error rate of parenteral nutrition decreased by 56.55%. The standard rate of vascular access selection and standard rate of infusion speed were increased by 13.29% and 3.54%, respectively. The PIVAS pharmacists identified and intervened in 5 abnormal cases out of 298 cases examined for use of parenteral nutrition solutions. CONCLUSIONS By optimizing the prescription review system, improving labeling information, and strengthening quality control inspections during both preparation and administration processes, PIVAS pharmacists have enhanced the safety of compounded parenteral nutrition solutions. This initiative has expanded the scope and depth of pharmaceutical care provided by dispensing pharmacists.
8.Comparison of small-sample multi-class machine learning models for plasma concentration prediction of valproic acid
Xi CHEN ; Shen’ao YUAN ; Hailing YUAN ; Jie ZHAO ; Peng CHEN ; Chunyan TIAN ; Yi SU ; Yunsong ZHANG ; Yu ZHANG
China Pharmacy 2025;36(11):1399-1404
OBJECTIVE To construct three-class (insufficient, normal, excessive) and two-class (insufficient, normal) models for predicting plasma concentration of valproic acid (VPA), and compare the performance of these two models, with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 (a total of 695 sets of data). In this study, predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation, and the performance of the models was evaluated using three indexes: accuracy, F1 score, and the area under the working characteristic curve of the subject (AUC). RESULTS XGBoost feature importance scores revealed that in the three-class model, the importance ranking of kidney disease and electrolyte disorders was higher. However, in the two-class model, the importance ranking of these features significantly decreased, suggesting a close association with the excessive blood concentration of VPA. In the three-class model, Random Forest method performed best, with F1 score of 0.704 0 and AUC of 0.519 3 on the test set; while in the two-class model, CatBoost method performed optimally, with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration, but its prediction and model generalization abilities are poor; the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases, but its model performance is stronger.
9.Research progress of nano drug delivery system based on metal-polyphenol network for the diagnosis and treatment of inflammatory diseases
Meng-jie ZHAO ; Xia-li ZHU ; Yi-jing LI ; Zi-ang WANG ; Yun-long ZHAO ; Gao-jian WEI ; Yu CHEN ; Sheng-nan HUANG
Acta Pharmaceutica Sinica 2025;60(2):323-336
Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.
10.Network pharmacology-based mechanism of combined leech and bear bile on hepatobiliary diseases
Chen GAO ; Yu-shi GUO ; Xin-yi GUO ; Ling-zhi ZHANG ; Guo-hua YANG ; Yu-sheng YANG ; Tao MA ; Hua SUN
Acta Pharmaceutica Sinica 2025;60(1):105-116
In order to explore the possible role and molecular mechanism of the combined action of leech and bear bile in liver and gallbladder diseases, this study first used network pharmacology methods to screen the components and targets of leech and bear bile, as well as the related target genes of liver and gallbladder diseases. The selected key genes were subjected to interaction network and GO/KEGG enrichment analysis. Then, using sodium oleate induced HepG2 cell lipid deposition model and

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