1.Regulatory effect of Jiedu Huayu granules on liver injury in mice with acute liver failure and its mechanism
Chengyu YA ; Tingshuai WANG ; Huiping YAN ; Yi WANG ; Qingrui ZHAO ; Shenglan ZENG ; Weiyu CHEN ; Rongzhen ZHANG
Journal of Clinical Hepatology 2026;42(1):143-150
ObjectiveTo investigate the mechanism of action of Jiedu Huayu granules in improving liver injury in mice with acute liver failure (ALF) by observing its effect on a mouse model of ALF after prophylactic administration, and to provide a basis for clinical medication. MethodsA total of 60 specific pathogen-free male C57BL/6J mice were divided into normal group, model group, Jiedu Huayu granules group (JDHY group), and farnesoid X receptor (FXR) agonist (GW4064) group using a random number table, with 15 mice in each group. The model of ALF was induced by a single intraperitoneal injection of D-galactosamine combined with lipopolysaccharide. The mice in the JDHY group were given prophylactic administration of 0.3 g/mL drug solution of Jiedu Huayu granules by gavage for 3 days before modeling, those in the normal group and the model group were given 0.9% NaCl solution by gavage, and those in the GW4064 group were given intraperitoneal injection of GW4064 for 3 consecutive days before modeling. The mice were sacrificed after modeling, and serum and liver tissue samples were collected. A veterinary automatic biochemical analyzer was used to measure the serum levels of total bilirubin (TBil), total bile acids (TBA), gamma-glutamyl transferase (GGT), alanine aminotransferase (ALT), and aspartate aminotransferase (AST) in mice from each group; HE staining was used to observe liver pathological changes; RT-PCR was used to measure the mRNA expression levels of FXR, fibroblast growth factor 15 (FGF15), fibroblast growth factor receptor 4 (FGFR4), small heterodimer partner (SHP), and bile salt export pump (BSEP) in mice, and Western blot was used to measure the protein expression levels of FXR, FGF15, FGFR4, SHP, and BSEP. A one-way analysis of variance was used for comparison between groups, and the Dunett method was used for further comparison between two groups. ResultsCompared with the normal group, the model group had significant increases in the serum levels of TBil, ALT, AST, TBA, and GGT (all P<0.01), and compared with the model group, the JDHY group and the GW4064 group had significant reductions in the serum levels of TBil, ALT, AST, TBA, and GGT (all P <0.01). HE staining showed that compared with the model group, the JDHY group and the GW4064 group had milder pathological injury, a reduction in the area of hepatocyte necrosis, and alleviation of cellular swelling and edema. Compared with the normal group, the model group had significant reductions in the mRNA and protein expression levels of FXR, FGF15, FGFR4, SHP, and BSEP in liver tissue (all P <0.01), and compared with the model group, the JDHY group and the GW4064 group had significant increases in the mRNA and protein expression levels of FXR, FGF15, FGFR4, SHP, and BSEP in liver tissue (all P <0.05). ConclusionJiedu Huayu granules may alleviate liver injury in mice with ALF through the FXR/SHP axis.
2.Parkinsonism in Cerebral Autosomal Dominant Arteriopathy With Subcortical Infarcts and Leukoencephalopathy: Clinical Features and Biomarkers
Chih-Hao CHEN ; Te-Wei WANG ; Yu-Wen CHENG ; Yung-Tsai CHU ; Mei-Fang CHENG ; Ya-Fang CHEN ; Chin-Hsien LIN ; Sung-Chun TANG
Journal of Stroke 2025;27(1):122-127
3.Differentiating Cerebral Amyloid Angiopathy From Alzheimer’s Disease Using Dual Amyloid and Tau Positron Emission Tomography
Hsin-Hsi TSAI ; Marco PASI ; Chia-Ju LIU ; Ya-Chin TSAI ; Ruoh-Fang YEN ; Ya-Fang CHEN ; Jiann-Shing JENG ; Li-Kai TSAI ; Andreas CHARIDIMOU ; Jean-Claude BARON
Journal of Stroke 2025;27(1):65-74
Background:
and Purpose Although amyloid positron emission tomography (PET) might provide a molecular diagnosis for cerebral amyloid angiopathy (CAA), it does not have sufficient specificity for this condition relative to incipient Alzheimer’s disease (AD). To identify a regional amyloid uptake pattern specific to CAA, we attempted to reduce this overlap by selecting “pure CAA” (i.e., fulfilling the criteria for probable CAA but without tau PET AD signature) and “pure AD” (i.e., positive amyloid PET and presence of tau PET AD signature, but without lobar hemorrhagic lesions). We hypothesized that occipital tracer uptake relative to the whole cortex (WC) would be higher in patients with pure CAA and may serve as a specific diagnostic marker.
Methods:
Patients who fulfilled these criteria were identified. In addition to the occipital region of interest (ROI), we assessed the frontal and posterior cingulate cortex (PCC) ROIs that are sensitive to AD. Amyloid PET uptake was expressed as the absolute standardized uptake value ratio (SUVR) and ROI/WC ratio. The diagnostic utility of amyloid PET was assessed using the Youden index cutoff.
Results:
Eighteen patients with AD and 42 patients with CAAs of comparable age were eligible. The occipital/WC was significantly higher in CAA than AD (1.02 [0.97–1.06] vs. 0.95 [0.87–1.01], P=0.001), with an area under curve of 0.762 (95% confidence interval [CI] 0.635–0.889) and a specificity of 72.2% (95% CI 46.5–90.3) at Youden cutoff (0.98). The occipital lobe, frontal lobe, PCC and WC SUVRs were significantly lower in CAA than in AD. The frontal/WC and PCC/WC ratios did not differ significantly between the groups.
Conclusion
Using stringent patient selection to minimize between-condition overlap, this study demonstrated the specificity of higher relative occipital amyloid uptake in CAA than in AD.
4.An animal model of severe acute respiratory distress syndrome for translational research
Kuo‑An CHU ; Chia‑Yu LAI ; Yu‑Hui CHEN ; Fu‑Hsien KUO ; I.‑Yuan CHEN ; You‑Cheng JIANG ; Ya‑Ling LIU ; Tsui‑Ling KO ; Yu‑Show FU
Laboratory Animal Research 2025;41(1):81-92
Background:
Despite the fact that an increasing number of studies have focused on developing therapies for acute lung injury, managing acute respiratory distress syndrome (ARDS) remains a challenge in intensive care medicine.Whether the pathology of animal models with acute lung injury in prior studies differed from clinical symptoms of ARDS, resulting in questionable management for human ARDS. To evaluate precisely the therapeutic effect of trans‑ planted stem cells or medications on acute lung injury, we developed an animal model of severe ARDS with lower lung function, capable of keeping the experimental animals survive with consistent reproducibility. Establishing this animal model could help develop the treatment of ARDS with higher efficiency.
Results:
In this approach, we intratracheally delivered bleomycin (BLM, 5 mg/rat) into rats’ left trachea via a needle connected with polyethylene tube, and simultaneously rotated the rats to the left side by 60 degrees. Within sevendays after the injury, we found that arterial blood oxygen saturation (SpO2 ) significantly decreased to 83.7%, partial pressure of arterial oxygen (PaO2 ) markedly reduced to 65.3 mmHg, partial pressure of arterial carbon dioxide (PaCO2 )amplified to 49.2 mmHg, and the respiratory rate increased over time. Morphologically, the surface of the left lung appeared uneven on Day 1, the alveoli of the left lung disappeared on Day 2, and the left lung shrank on Day 7. A his‑ tological examination revealed that considerable cell infiltration began on Day 1 and lasted until Day 7, with a larger area of cell infiltration. Serum levels of IL-5, IL-6, IFN-γ, MCP-1, MIP-2, G-CSF, and TNF-α substantially rose on Day 7.
Conclusions
This modified approach for BLM-induced lung injury provided a severe, stable, and one-sided (left-lobe) ARDS animal model with consistent reproducibility. The physiological symptoms observed in this severe ARDS animal model are entirely consistent with the characteristics of clinical ARDS. The establishment of this ARDS animal model could help develop treatment for ARDS.
5.Analysis on current situation of position training of clinical pharmacists in medical institutions in China
Dongni ZHENG ; Ya CHEN ; Mi GAN ; Shunlong OU ; Yongdong JIN ; Zhiqiang HU ; Xiaoyi CHEN ; Jinqi LI ; Qian JIANG
China Pharmacy 2025;36(12):1424-1429
OBJECTIVE To summarize the current status of position training for clinical pharmacists in China and provide references for the continuous optimization of such training programs. METHODS SinoMed, CNKI,VIP and Wanfang Data were electronically searched to collect position training of clinical pharmacists studies from the inception until November 5th 2024. After data extraction and quality evaluation, descriptive analysis was performed on the results of the included studies. RESULTS & A total of 68 pieces of relevant literature were included in the study. Among them, 50 studies reported on training content, 49 involved the allocation of teaching resources in the bases, 48 addressed training methods, and 39 focused on training evaluation; only 2 studies mentioned faculty development. There were notable variations in the clinical pharmacist training programs across different bases, particularly in the allocation of teaching resources, such as the composition of the teaching team and the utilization of auxiliary teaching tools. Additionally, differences existed in training approaches, such as those employing a single method versus a blended approach. Conversely, the core training content of each base generally revolved around clinical pharmacy practice, demonstrating a degree of consistency. Moreover, the overall emphasis on teacher training and assessment tended to be obviously insufficient. Each base can focus on enhancing the competence of clinical pharmacists by allocating teaching resources, selecting training methods, improving training content, and using evaluation tools, to further enhance the quality of clinical pharmacist training.
6.Role of insulin-like growth factor-Ⅰ in prognostic evaluation and treatment of liver cirrhosis
Yanping WANG ; Ya ZHENG ; Huifang ZHANG ; Huimin WANG ; Xiaotong MA ; Zhaofeng CHEN
Journal of Clinical Hepatology 2025;41(6):1188-1193
As a key member of the insulin-like growth factor family, insulin-like growth factor-Ⅰ (IGF-Ⅰ) is mainly synthesized in the liver and is widely distributed in the human body, and it is involved in the physiological processes such as cell proliferation, differentiation, metabolism, and apoptosis. Studies have shown that the level of IGF-Ⅰ is negatively correlated with the severity of liver cirrhosis, and IGF-Ⅰ mainly affects the progression of liver cirrhosis by inhibiting liver fibrosis, promoting DNA damage repair, and regulating lipid metabolism. Monitoring of IGF-Ⅰ level is expected to provide an evaluation indicator for improving the prognosis of patients with liver cirrhosis, and stimulating the action pathway of IGF-Ⅰ or regulating its expression level may become a new method for the treatment of liver cirrhosis. This article reviews the research advances in IGF-Ⅰ in liver cirrhosis, in order to provide new ideas for the diagnosis and treatment of liver cirrhosis.
7.Predicting Hepatocellular Carcinoma Using Brightness Change Curves Derived From Contrast-enhanced Ultrasound Images
Ying-Ying CHEN ; Shang-Lin JIANG ; Liang-Hui HUANG ; Ya-Guang ZENG ; Xue-Hua WANG ; Wei ZHENG
Progress in Biochemistry and Biophysics 2025;52(8):2163-2172
ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.
8.Investigation on the mechanisms of Colquhounia Root Tablets in reversing vascular endothelial cell dysfunction of rheumatoid arthritis via modulating NOD2/SMAD3/VEGFA signaling axis
Bing-bing CAI ; Ya-wen CHEN ; Tao LI ; Yuan ZENG ; Yan-qiong ZHANG ; Na LIN ; Xia MAO ; Ya LIN
Acta Pharmaceutica Sinica 2025;60(2):397-407
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation, joint destruction, and functional impairment. Angiogenesis plays a key role in the pathological progression of RA with dysfunction of endothelial cells to promote synovial inflammation, sustain pannus formation, subsequently leading to joint damage. Colquhounia Root Tablets (CRT), a Chinese patent drug, has shown a satisfying clinical efficacy in treating RA, while the underlying mechanism by which CRT inhibits RA-associated angiogenesis remains unclear. In this study, we applied a research approach combining transcriptomic data analysis, bio-network mapping, and
9.Visual feature extraction combining dissolution testing for the study of drug release behavior of gliclazide modified release tablets
Si-yu CHEN ; Ze-ya LI ; Ping LI ; Xin-qing ZHAO ; Tao GONG ; Li DENG ; Zhi-rong ZHANG
Acta Pharmaceutica Sinica 2025;60(1):225-231
Oral solid dosage forms require processes such as disintegration and dissolution to release the drug before it can be absorbed and utilized by the body. In this manuscript, imaging technology was used to continuously visualize and characterize the
10.Influencing factors of chronic dyslipidemia in T2DM patients with diabetes point system management in Qingpu District,Shanghai
Zhouli WU ; Sen WANG ; Jie CHEN ; Zhihua REN ; Kaiyou YE ; Yueqin JIANG ; Ya WU
Journal of Public Health and Preventive Medicine 2025;36(2):56-60
Objective To understand the influencing factors of chronic dyslipidemia in T2DM patients who signed a contract for diabetes point system management in Qingpu District, and to provide a basis for comprehensive intervention and prevention and control of dyslipidemia in T2DM patients and to optimize the management strategy of Qingpu District diabetes point system. Methods Among the T2DM patients who signed the diabetes point system from 2017 to 2023, patients with chronic dyslipidemia and normal blood lipids were selected and included in the case group and the control group, respectively. A case-control study was conducted with 1:1 matching by age and gender to analyze the factors influencing dyslipidemia. Results Multifactorial paired logistic regression analysis showed that overweight/obesity and central obesity and smoking in T2DM patients increased the risk of dyslipidemia by 1.93, 2.27, and 2.16 times, respectively. Long-term use of lipid-lowering drugs, duration of diabetes for 5 years or more, regular physical exercise, knowledge of blood lipid status, and married status could reduce the risk of dyslipidemia in T2DM patients (OR values were 0.547, 0.452, 0.685, 0.386 and 0.354, respectively). Current complications (history of stroke, coronary heart disease, and renal insufficiency) were also associated with dyslipidemia (OR=1.802, 95% CI:1.125-2.888). Conclusion The management of diabetes point system in Qingpu District should strengthen the feedback and interpretation of blood lipid monitoring results, improve patients’ health awareness of blood lipid management, and actively take comprehensive management of lifestyle intervention and drug treatment to effectively control blood lipid and reduce the occurrence of related complications.


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