1.Expert Consensus on Clinical Application of Qidong Yixin Oral Liquid
Changkuan FU ; Xiaochang MA ; Mingjun ZHU ; Yue DENG ; Hongxu LIU ; Mingxue ZHANG ; Ying CHEN ; Yan ZHOU ; Ling ZHANG ; Jianhua FU ; Wei YANG ; Yu'er HU ; Ming CHEN ; Yanming XIE ; Yuanyuan LI
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(4):147-158
The prescription of Qidong Yixin oral liquid is derived from the experience of national medical master Ren Jixue in treating viral myocarditis (VMC). It has the functions of tonifying Qi, nourishing the heart,calming the mind, and relieving palpitations. It is used to treat VMC and angina pectoris of coronary heart disease caused by deficiency of both Qi and Yin. However,the understanding of its efficacy evidence, advantageous aspects, dosage and administration, and medication safety remains insufficient in clinical practice. Therefore,the development of the Expert Consensus on the Clinical Application of Qidong Yixin Oral Liquid (hereinafter referred to as consensus) was initiated. Consensus strictly followed the process and methods of the expert consensus on the clinical application of Chinese patent medicines of the China Association of Chinese Medicine,successively completing multiple tasks such as the consensus project initiation,determination of clinical problems,evidence search and evaluation,formation of recommendation opinions and consensus suggestions,solicitation of opinions,peer review, submission for review and release, and so on. Consensus formed a total of 10 recommendation opinions and 12 consensus suggestions,clarifying the clinical positioning,efficacy advantages,syndrome differentiation,dosage and administration,combination therapy,timing of medication,adverse reactions,contraindications, and precautions of Qidong Yixin oral liquid,indicating that it has good clinical advantages and safety in the treatment of VMC and angina pectoris of coronary heart disease,providing norms and references for physicians to safely and rationally apply Qidong Yixin oral liquid. Consensus was reviewed and approved for release by the Standardization Office of the China Association of Chinese Medicine on December 23, 2024. Standard number:GSCACM-376-2024.
2.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
3.Status of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023
ZHU Shu, GUO Hua, LI Hongbo, SHI Zhu, WU Shengnan, HUANG Yiyanwen, SUN Yan, LIU Yiya
Chinese Journal of School Health 2026;47(2):178-182
:
To analyze the prevalence of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023, and to explore the related factors, so as to provide evidence for Rural Nutrition Improvement Program optimization.
Methods:
In September 2023, a stratified random cluster sampling strategy was used to select 40 rural compulsory education schools with rural nutrition improvement program in five counties of Guizhou Province. School level questionnaire was employed to collect information of basic characteristics and school meal implementation. A total of 7 826 primary and secondary school students aged 6-16 underwent anthropometry and hemoglobin (Hb) determination; serum ferritin (SF) was additionally measured in a random subsample of 1 795 pupils. Students in Grade 3 and above also completed a questionnaire covering demographic characteristics, dietary behaviours and nutrition knowledge. Group comparisons were conducted by Chi square test or Fisher s exact test, and multivariable Logistic regression models were constructed to identify factors associated with anemia and iron deficiency.
Results:
The overall Hb level was (133.21±12.95)g/L, with an anemia prevalence of 7.17%. The overall SF level was (69.58±59.01)μg/L, with an iron deficiency prevalence of 2.73%. Multivariable analysis showed that stunting ( OR =1.88), school menus without nutrient calculation ( OR =1.61) and absence of menu planning software in the current semester ( OR =2.34) independently increased anemia risk, whereas obesity reduced it ( OR =0.54) (all P <0.05). Girls ( OR =4.16) and Grades 7-9 ( OR =5.93) increased iron deficiency risk (both P <0.05). Compared with rarely eating fresh vegetables, students with consuming <3 kinds per day ( OR =0.08) or exactly 3 kinds per day ( OR =0.06) had lower iron deficiency risks (both P <0.05).
Conclusions
Anemia and iron deficiency are prevalent among primary and secondary school students in Guizhou. Targeted intervention measures should be implemented for key populations to enhance the effectiveness of nutrition improvement program.
4.A new glycoside from Alstonia mairei Lévl.
Li-ke WANG ; Bing-yan LI ; Zhen-zhu ZHAO ; Yan-zhi WANG ; Xiao-kun LI ; Wei-sheng FENG ; Ying-ying SI
Acta Pharmaceutica Sinica 2025;60(1):191-195
Nine compounds were isolated and purified from 90% ethanol extract of
5.Influencing factors for meropenem-related liver injury and their predictive value
Yan HE ; Hongqin KE ; Hongliang LI ; Jianyong ZHU ; Lijun ZHAO ; Huibin YU
Journal of Clinical Hepatology 2025;41(3):506-512
ObjectiveTo analyze the factors influencing meropenem-related liver injury (MRLI) and to explore their clinical predictive value. MethodsA retrospective case-control study was conducted, and the Chinese Hospital Pharmacovigilance System (CHPS) was used to establish a retrieval scheme. A total of 1 625 hospitalized cases using meropenem from January 2018 to December 2022 were collected. Patients were divided into case group (n=62) and control group (n=1 563) based on the presence or absence of liver injury. Clinical data and laboratory indicators from both groups were collected and analyzed. The t-test was used for comparison of normally distributed continuous data between the two groups, while the Mann-Whitney U test was used for comparison of continuous data not conforming to a normal distribution. The chi-square test was used for comparison of categorical data between the two groups. A multivariate Logistic regression analysis was performed to identify the influencing factors for MRLI. A Logistic regression equation was established, and the predictive value of these factors was assessed using the receiver operating characteristic (ROC) curve. ResultsThe results of univariate analysis indicated that the rates of male patients, hypoproteinemia, shock, intensive care unit (ICU) admissions, sepsis, and liver, gallbladder, and cardiovascular diseases, the levels of alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), aspartate aminotransferase (AST), creatinine (CREA), and procalcitonin (PCT), and the number of hospitalization days were significantly higher in the case group than in the control group (P<0.05), and that the platelet levels in the case group were significantly lower than those in the control group (P<0.05). The multivariate Logistic regression analysis showed that male sex (odds ratio [OR]=2.080, 95% confidence interval [CI]: 1.050 — 4.123, P=0.036), admission to the ICU (OR=8.207, 95%CI: 4.094 — 16.453, P<0.001), comorbidity with gallbladder disease (OR=8.240, 95%CI: 3.605 — 18.832, P<0.001), ALP (OR=1.012, 95%CI: 1.004 — 1.019, P=0.004), GGT (OR=1.010, 95%CI: 1.005 — 1.015, P<0.001), and PLT (OR=0.997, 95%CI: 0.994 — 0.999, P=0.020) were the influential factors for MRLI. The areas under the ROC curve of ALP, GGT, and PLT were 0.589, 0.637, and 0.595, respectively, and the AUC of them combined was 0.837. ConclusionMale sex, ICU admission, comorbidity with gallbladder disease, increased ALP, increased GGT, and decreased PLT were influencing factors for MRLI, and a combination of factors has a better predictive value for the occurrence of MRLI.
6.Mechanism of action of bile-gut axis in the development and progression of intrahepatic cholangiocarcinoma
Xue YU ; Tianhao SHEN ; Cheng ZHOU ; Yu LIU ; Wei LI ; Tinghui JIANG ; Yongqiang ZHU ; Yan LIU
Journal of Clinical Hepatology 2025;41(3):588-593
Intrahepatic cholangiocarcinoma is a malignant tumor with an extremely poor prognosis, and its pathogenesis is complex and remains unclear. In recent years, more and more studies have focused on the role of bile-gut axis in the development and progression of intrahepatic cholangiocarcinoma. Bile-gut axis refers to the complex interaction between bile and gut microbiota, including bile salt metabolism, dynamic changes of microbiota, inflammatory response, and immune system regulation. This article elaborates on the potential mechanisms of bile-gut axis in intrahepatic cholangiocarcinoma, especially gut microbiota dysbiosis, abnormal bile salt metabolism, chronic inflammatory response, and immune system interaction, this article aims to provide new perspectives and possible therapeutic targets for future research and promote the early diagnosis and effective treatment of intrahepatic cholangiocarcinoma.
7.Changes and Trends in the microbiological-related standards in the Chinese Pharmacopoeia 2025 Edition
FAN Yiling ; ZHU Ran ; YANG Yan ; JIANG Bo ; SONG Minghui ; WANG Jing ; LI Qiongqiong ; LI Gaomin ; WANG Shujuan ; SHAO Hong ; MA Shihong ; CAO Xiaoyun ; HU Changqin ; MA Shuangcheng, ; YANG Meicheng
Drug Standards of China 2025;26(1):093-098
Objective: To systematically analyze the revisions content and technological development trends of microbiological standards in the Chinese Pharmacopoeia (ChP) 2025 Edition, and explore its novel requirements in risk-based pharmaceutical product lifecycle management.
Methods: A comprehensive review was conducted on 26 microbiological-related standards to summarize the revision directions and scientific implications from perspectives including the revision overview, international harmonization of microbiological standards, risk-based quality management system, and novel tools and methods with Chinese characteristics.
Results: The ChP 2025 edition demonstrates three prominent features in microbiological-related standards: enhanced international harmonization, introduced emerging molecular biological technologies, and established a risk-based microbiological quality control system.
Conclusion: The new edition of the Pharmacopoeia has systematically constructed a microbiological standard system, which significantly improves the scientificity, standardization and applicability of the standards, providing a crucial support for advancing the microbiological quality control in pharmaceutical industries of China.
8.Research on the standardization of “Indications”in package inserts for Chinese patent medicines
Meiwei ZHANG ; Keqian LI ; Keyu YAO ; Yan ZHU
China Pharmacy 2025;36(5):513-518
OBJECTIVE To promote the standardization of the “Indications” section in package inserts for Chinese patent medicines and ensure rational clinical and patient use. METHODS The “Function and Indications” information of package inserts for Chinese patent medicines was retrieved and collected from the 2020 edition of the Chinese Pharmacopoeia (Volume Ⅰ) and various national and regional standards. Identification criteria were established for syndrome, pathogenesis, disease name, and symptom terminology in the “Indications” section. Microsoft Office Access 2021 was utilized to create query tables for manual extraction of terminological elements, followed by the construction of a three-tier classification system for “Indications” descriptions. A standardized template for “Indications” was developed through quantitative analysis. RESULTS & CONCLUSIONS A total of 9 851 valid package inserts for Chinese patent medicines were included. Among these, the majority (7 991) contained symptom terminology, followed by disease names (5 867) and pathogenesis descriptions (5 167). Within disease name terminology, Western medical disease names predominated (4 446), followed by traditional Chinese medicine disease names (2 018). The “Function and Indications” content of 6 962 package inserts complied with existing requirements. Notably, the secondary classifications of “disease name”, as well as the tertiary classification of “disease name+symptoms” and “symptoms”, failed to meet established standards. Two standardized templates for “Indications” were formulated based on pathogenesis and syndrome:“pathogenesis+disease name+symptoms” and “disease name+syndrome+symptoms”. The “Indications”section should provide complete and accurate information, adhere to standardized formatting, and employ appropriate conjunctions and punctuation. For non-prescription patent medicines, package inserts should be categorized into professional and patient versions. These measures will facilitate the standardization of “Indications” descriptions and advance the overall package inserts for Chinese patent medicines documentation.
9.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.
10.Oxylipidomics Combined with Transcriptomics Reveals Mechanism of Jianpi Huogu Prescription in Treating Steroid-induced Osteonecrosis of Femoral Head in Rats
Lili WANG ; Qun LI ; Zhixing HU ; Qianqian YAN ; Liting XU ; Xiaoxiao WANG ; Chunyan ZHU ; Yanqiong ZHANG ; Weiheng CHEN ; Haijun HE ; Chunfang LIU ; Na LIN
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):190-199
ObjectiveTo unveil the mechanism of Jianpi Huogu prescription (JPHGP) in ameliorating the dyslipidemia of steroid-induced osteonecrosis of the femur head (SONFH) by oxylipidomics combined with transcriptomics. MethodsSixty SD rats were assigned into normal, model, low-, medium-, and high-dose (2.5, 5, 10 g·kg-1, respectively) JPHGP, and Jiangushengwan (1.53 g·kg-1) groups. Lipopolysaccharide was injected into the tail vein at a dose of 20 μg·kg-1 on days 1 and 2, and methylprednisolone sodium succinate was injected at a dose of 40 mg·kg-1 into the buttock muscle on days 3 to 5. The normal group received an equal volume of normal saline. Drug administration by gavage began 4 weeks after the last injection, and samples were taken after administration for 8 weeks. Hematoxylin-eosin staining was conducted to reveal the histopathological changes of the femoral head, and the number of adipocytes, the rate of empty bone lacunae, and the trabecular area were calculated. Micro-computed tomography was used for revealing the histological and histomorphometrical changes of the femoral head. Enzyme-linked immunosorbent assay was employed to measure the serum levels of triglyceride (TG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), apolipoprotein A1 (ApoA1), and apolipoprotein B (ApoB). At the same time, the femoral head was collected for oxylipidomic and transcriptomic detection. The differential metabolites and differential genes were enriched and analyzed, and the target genes regulating lipid metabolism were predicted. The predicted target proteins were further verified by molecular docking, immunohistochemistry, and Western blot. ResultsCompared with the normal group, the model group showcased thinning of the femoral head, trabecular fracture, karyopyknosis, subchondral cystic degeneration, increases in the number of adipocytes and the rate of empty bone lacunae (P<0.01), a reduction in the trabecular area (P<0.01), decreases in BMD, Tb.Th, Tb.N, and BV/TV, and increases in Tb.Sp and BS/BV (P<0.01). Compared with the model group, the JPHGP groups showed no obvious thinning of the femoral head or subchondroidal cystic degeneration. The high- and medium-dose JPHGP groups presented declines in the number of adipocytes and the rate of empty bone lacunae, an increase in the trabecular area (P<0.05, P<0.01), rises in BMD, Tb.Th, Tb.N, and BV/TV, and decreases in Tb.Sp and BS/BV (P<0.05, P<0.01). Compared with the normal group, the model group showcased raised serum levels of TG, TC, LDL, and ApoB and lowered serum levels of HDL and ApoA1 (P<0.01). Compared with the model group, the JPHGP groups had lowered serum levels of TG, TC, LDL, and ApoB (P<0.05, P<0.01) and a risen serum level of ApoA1 (P<0.05, P<0.01). Moreover, the serum level of HDL in the high-dose JPHGP group increased (P<0.01). A total of 19 different metabolites of disease set and drug set were screened out by oxylipidomics of the femoral head, and 119 core genes with restored expression were detected by transcriptomics. The enriched pathways were mainly concentrated in inflammation, lipids, apoptosis, and osteoclast differentiation. Molecular docking, immunohistochemistry, and Western blot results showed that compared with the normal group, the model group displayed increased content of 5-lipoxygenase (5-LO) and peroxisome proliferator-activated receptor γ (PPARγ) in the femoral head (P<0.01). Compared with the model group, medium- and high-dose JPHGP reduced the content of 5-LO and PPARγ (P<0.05, P<0.01). ConclusionJPHGP can restore the levels of oxidized lipid metabolites by regulating the 5-LO-PPARγ axis to treat SONFH in rats. Relevant studies provide experimental evidence for the efficacy mechanism of JPHGP in the treatment of SONFH.


Result Analysis
Print
Save
E-mail