1.Effects of Yangxin Tongmai Formula (养心通脉方) on Methylation Key Genes and the PERK/ATF4/CHOP Signaling Pathway in Myocardial Tissue of Coronary Heart Disease Model Rats with Blood Stasis Syndrome
Chun ZHANG ; Shumeng ZHANG ; Yan MAO ; Xing CHEN ; Huifang KUANG ; Yi YANG ; Lingli CHEN ; Jie LI
Journal of Traditional Chinese Medicine 2026;67(7):784-791
ObjectiveTo investigate the mechanism of Yangxin Tongmai Formula (养心通脉方, YTF) in trea-ting coronary heart disease with blood stasis syndrome based on DNA methylation. MethodsSeventy-two SD rats were randomly divided into a control group (n=12) and a modeling group (n=60). The modeling group was subjected to a high-fat diet, intragastric administration of vitamin D3, and subcutaneous injection of isoprenaline to establish the rat model of coronary heart disease with blood stasis syndrome. Forty-one successfully modeled rats were then randomly allocated into model group, YTF low-, medium-, and high-dose groups, and the atorvastatin calcium group, with 8 rats in each group and 1 rat reserved. The YTF low-, medium-, and high-dose groups received YTF at 6, 12, and 18 g/(kg·d) by gavage, respectively. The atorvastatin calcium group received atorvastatin calcium tablets at 1.8 mg/(kg·d) by gavage. The control group and the model group received 0.9% sodium chloride injection at 4 ml/(kg·d) by gavage. All administrations were performed once daily for 3 weeks. Twenty-four hours after the last administration, serum lipid levels including total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), myocardial enzymes including cardiac troponin T (cTnT), creatine kinase MB (CK-MB), and lactate dehydrogenase (LDH), and inflammatory factors including interleukin-1β (IL-1β) and interleukin-10 (IL-10) were detected by ELISA. Pathological changes in myocardial tissue were observed via HE staining. Whole blood DNA methylation sequencing was used to analyze differential methylation gene expression among the control group, model group, and YTF high-dose group. Western Blotting was used to verify the protein levels of the key genes and downstream signaling pathways. ResultsCompared to the control group, the model group showed increased levels of TC, TG, LDL-C, cTnT, CK-MB, LDH, and IL-1β, along with decreased levels of HDL-C and IL-10 (P<0.05 or P<0.01). Compared to the model group, all treatment groups exhibited decreased levels of TC, LDL-C, CK-MB, and LDH, along with increased IL-10 levels. Among these, the high-dose YTF group demonstrated superior efficacy in reducing cTnT levels compared to the other TCM groups (P<0.05 or P<0.01). HE staining indicated that the YTF high-dose group ameliorated myocardial cell swelling, disordered arrangement, pyknosis, and disappearance of nuclei, thereby reducing myocardial cell damage. Whole blood DNA methylation sequencing identified 240 differentially methylated genes shared by the control group, model group, and YTF high-dose group, including 109 hypermethylated and 131 hypomethylated genes; eif2ak3 was identified as a key differentially methylated gene. Compared to the control group, the model group exhibited increased protein levels of eukaryotic translation initiation factor 2 alpha kinase 3 (eIf2ak3), phosphorylated protein kinase RNA-like endoplasmic reticulum kinase (p-PERK), activating transcription factor 4 (ATF4), C/EBP homologous protein (CHOP), and Bax, along with a decreased level of B-cell lymphoma-2 (Bcl-2) protein (P<0.05 or P<0.01). Compared to the model group, the YTF high-dose group showed decreased protein levels of eIf2ak3, p-PERK, ATF4, CHOP, and Bax, and an increased level of Bcl-2 protein (P<0.05 or P<0.01). ConclusionYTF may regulate key differentially methylated genes such as eIf2ak3 and the PERK/ATF4/CHOP signaling pathway, thereby inhibiting endoplasmic reticulum stress, reducing myocardial cell apoptosis, and exerting therapeutic effects in coronary heart disease blood stasis syndrome.
2.Alternative Polyadenylation in Mammalian
Yu ZHANG ; Hong-Xia CHI ; Wu-Ri-Tu YANG ; Yong-Chun ZUO ; Yong-Qiang XING
Progress in Biochemistry and Biophysics 2025;52(1):32-49
With the rapid development of sequencing technologies, the detection of alternative polyadenylation (APA) in mammals has become more precise. APA precisely regulates gene expression by altering the length and position of the poly(A) tail, and is involved in various biological processes such as disease occurrence and embryonic development. The research on APA in mammals mainly focuses on the following aspects:(1) identifying APA based on transcriptome data and elucidating their characteristics; (2) investigating the relationship between APA and gene expression regulation to reveal its important role in life regulation;(3) exploring the intrinsic connections between APA and disease occurrence, embryonic development, differentiation, and other life processes to provide new perspectives and methods for disease diagnosis and treatment, as well as uncovering embryonic development regulatory mechanisms. In this review, the classification, mechanisms and functions of APA were elaborated in detail and the methods for APA identifying and APA data resources based on various transcriptome data were systematically summarized. Moreover, we epitomized and provided an outlook on research on APA, emphasizing the role of sequencing technologies in driving studies on APA in mammals. In the future, with the further development of sequencing technology, the regulatory mechanisms of APA in mammals will become clearer.
3.Role of autophagy in treatment of paracetamol-induced liver injury
Guojing XING ; Lifei WANG ; Longlong LUO ; Xiaofeng ZHENG ; Chun GAO ; Xiaohui YU ; Jiucong ZHANG
Journal of Clinical Hepatology 2025;41(2):389-394
N-acetyl-p-aminophenol (APAP) is an antipyretic analgesic commonly used in clinical practice, and APAP overdose can cause severe liver injury and even death. In recent years, the incidence rate of APAP-induced liver injury (AILI) tends to increase, and it has become the second most common cause of liver transplantation worldwide. Autophagy is a highly conserved catabolic process that removes unwanted cytosolic proteins and organelles through lysosomal degradation to achieve the metabolic needs of cells themselves and the renewal of organelles. A large number of studies have shown that autophagy plays a key role in the pathophysiology of AILI, involving the mechanisms such as APAP protein conjugates, oxidative stress, JNK activation, mitochondrial dysfunction, inflammatory response and apoptosis. This article elaborates on the biological mechanism of autophagy in AILI, in order to provide a theoretical basis for the treatment of AILI and the development of autophagy regulators.
4.Clinical course, causes of worsening, and outcomes of severe ischemic stroke: A prospective multicenter cohort study.
Simiao WU ; Yanan WANG ; Ruozhen YUAN ; Meng LIU ; Xing HUA ; Linrui HUANG ; Fuqiang GUO ; Dongdong YANG ; Zuoxiao LI ; Bihua WU ; Chun WANG ; Jingfeng DUAN ; Tianjin LING ; Hao ZHANG ; Shihong ZHANG ; Bo WU ; Cairong ZHU ; Craig S ANDERSON ; Ming LIU
Chinese Medical Journal 2025;138(13):1578-1586
BACKGROUND:
Severe stroke has high rates of mortality and morbidity. This study aimed to investigate the clinical course, causes of worsening, and outcomes of severe ischemic stroke.
METHODS:
This prospective, multicenter cohort study enrolled adult patients admitted ≤30 days after ischemic stroke from nine hospitals in China between September 2017 and December 2019. Severe stroke was defined as a score of ≥15 on the National Institutes of Health Stroke Scale (NIHSS). Clinical worsening was defined as an increase of 4 in the NIHSS score from baseline. Unfavorable functional outcome was defined as a modified Rankin scale score ≥3 at 3 months and 1 year after stroke onset, respectively. We performed Logistic regression to explore baseline features and reperfusion therapies associated with clinical worsening and functional outcomes.
RESULTS:
Among 4201 patients enrolled, 854 patients (20.33%) had severe stroke on admission. Of 3347 patients without severe stroke on admission, 142 (4.24%) patients developed severe stroke in hospital. Of 854 patients with severe stroke on admission, 33.95% (290/854) experienced clinical worsening (median time from stroke onset: 43 h, Q1-Q3: 20-88 h), with brain edema (54.83% [159/290]) as the leading cause; 24.59% (210/854) of these patients died by 30 days, and 81.47% (677/831) and 78.44% (633/807) had unfavorable functional outcomes at 3 months and 1 year respectively. Reperfusion reduced the risk of worsening (adjusted odds ratio [OR]: 0.24, 95% confidence interval [CI]: 0.12-0.49, P <0.01), 30-day death (adjusted OR: 0.22, 95% CI: 0.11-0.41, P <0.01), and unfavorable functional outcomes at 3 months (adjusted OR: 0.24, 95% CI: 0.08-0.68, P <0.01) and 1 year (adjusted OR: 0.17, 95% CI: 0.06-0.50, P <0.01).
CONCLUSIONS:
Approximately one-fifth of patients with ischemic stroke had severe neurological deficits on admission. Clinical worsening mainly occurred in the first 3 to 4 days after stroke onset, with brain edema as the leading cause of worsening. Reperfusion reduced the risk of clinical worsening and improved functional outcomes.
REGISTRATION
ClinicalTrials.gov , NCT03222024.
Humans
;
Male
;
Female
;
Prospective Studies
;
Ischemic Stroke/mortality*
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Aged
;
Middle Aged
;
Aged, 80 and over
;
Stroke
;
Brain Ischemia
5.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
6.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
7.Comparison of Logistic Regression and Machine Learning Approaches in Predicting Depressive Symptoms: A National-Based Study
Xing-Xuan DONG ; Jian-Hua LIU ; Tian-Yang ZHANG ; Chen-Wei PAN ; Chun-Hua ZHAO ; Yi-Bo WU ; Dan-Dan CHEN
Psychiatry Investigation 2025;22(3):267-278
Objective:
Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.
Methods:
Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).
Results:
LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.
Conclusion
Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.
8.Heart Yin deficiency and cardiac fibrosis: from pathological mechanisms to therapeutic strategies.
Jia-Hui CHEN ; Si-Jing LI ; Xiao-Jiao ZHANG ; Zi-Ru LI ; Xing-Ling HE ; Xing-Ling CHEN ; Tao-Chun YE ; Zhi-Ying LIU ; Hui-Li LIAO ; Lu LU ; Zhong-Qi YANG ; Shi-Hao NI
China Journal of Chinese Materia Medica 2025;50(7):1987-1993
Cardiac fibrosis(CF) is a cardiac pathological process characterized by excessive deposition of extracellular matrix(ECM). When the heart is damaged by adverse stimuli, cardiac fibroblasts are activated and secrete a large amount of ECM, leading to changes in cardiac fibrosis, myocardial stiffness, and cardiac function declines and accelerating the development of heart failure. There is a close relationship between heart yin deficiency and cardiac fibrosis, which have similar pathogenic mechanisms. Heart Yin deficiency, characterized by insufficient Yin fluids, causes the heart to lose its nourishing function, which acts as the initiating factor for myocardial dystrophy. The deficiency of body fluids leads to stagnation of blood flow, resulting in blood stasis and water retention. Blood stasis and water retention accumulate in the heart, which aligns with the pathological manifestation of excessive deposition of ECM, as a tangible pathogenic factor. This is an inevitable stage of the disease process. The lingering of blood stasis combined with water retention eventually leads to the generation of heat and toxins, triggering inflammatory responses similar to heat toxins, which continuously stimulate the heart and cause the ultimate outcome of CF. Considering the syndrome of heart Yin deficiency, traditional Chinese medicine capable of nourishing Yin, activating blood, and promoting urination can reduce myocardial cell apoptosis, inhibit fibroblast activation, and lower the inflammation level, showing significant advantages in combating CF.
Humans
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Fibrosis/drug therapy*
;
Animals
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Yin Deficiency/metabolism*
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Myocardium/metabolism*
;
Medicine, Chinese Traditional
;
Drugs, Chinese Herbal/therapeutic use*
9.Medicinal properties and compatibility application of aromatic traditional Chinese medicine monomer components based on action of volatile components against viral pneumonia.
Yin-Ming ZHAO ; Lin-Yuan WANG ; Jian-Jun ZHANG ; Chun WANG ; Yi LI ; Xiao-Fang WU ; Qi ZHANG ; Xing-Yu ZHAO ; Lin-Ze LI ; Rui-Lin LYU
China Journal of Chinese Materia Medica 2025;50(8):2013-2021
Aromatic traditional Chinese medicine(TCM) has played an important role against epidemics and viruses, and volatile components are the main components that exert the pharmacological effects of aromatic TCM. By screening the related monomer components in aromatic TCM against epidemic and viruses and analyzing and endowing TCM with medicinal properties based on its clinical application and pharmacological research according to the theoretical thinking of TCM, the key technical issues of compatibility of TCM monomer components were solved from a theoretical perspective, providing new ideas and methods for screening raw materials and formulas for the development of new TCM drugs. Based on the conditions of antiviral activity, clinical application foundation, definite therapeutic effect, and high safety, a gradient screening of aromatic TCM was carried out. Firstly, 30 aromatic TCM were screened from anti-epidemic literature and clinical trial formulas, and seven volatile monomers were further screened from them. Then, four monomer components with significant effects, namely patchouli alcohol, carvacrol, p-cymene, and eucalyptol were screened. By adopting the "four-step method for a systematic study of TCM properties", the four monomer components were endowed with medicinal properties, and compatibility and combination studies were conducted to explore the theoretical basis of monomer formulas and form monomer formulas guided by TCM theory. The screening results of volatile monomers in aromatic TCM against viral pneumonia included patchouli alcohol, carvacrol, p-cymene, and eucalyptol. The medicinal properties and compatibility theory of volatile monomer components in TCM were explored. Patchouli alcohol was the main herb, with a cool and pungent nature. It entered the lung meridian to dispel evil Qi and has the effects of aromatization, detoxification, and epidemic prevention. Carvacrol was a minister drug with a cool and pungent taste. It had the effects of aromatizing, moistening, and dissolving the exterior, as well as strengthening the spleen and stomach. p-Cymene was an adjunctive medicine with a mild and pungent nature. It entered the lungs and kidneys and had the effects of aromatic purification, cough relief, and asthma relief. Eucalyptol was also an adjunctive medicine with a pungent and warm taste. It had the functions of aromatic purification, cough relief, phlegm reduction, and pain relief. The combination of the four medicines had the effects of aromatizing, moistening, detoxifying, and epidemic prevention, as well as relieving cough and asthma and strengthening the spleen and stomach. They were used to treat viral pneumonia caused by upper respiratory tract viral infections, with symptoms such as chest tightness, cough, wheezing, fatigue, nasal congestion, runny nose, nausea, and vomiting. This study has laid a literature and theoretical foundation for further drug efficacy verification experiments, compatibility efficacy experiments, and subsequent product development and clinical applications, and it serves as an innovative practice that combines literature research, theoretical research, experimental research, and clinical practice to develop new products.
Drugs, Chinese Herbal/therapeutic use*
;
Antiviral Agents/pharmacology*
;
Humans
;
Pneumonia, Viral/virology*
;
Medicine, Chinese Traditional
;
Volatile Organic Compounds/pharmacology*
;
Animals
10.Influence of eucalyptol on biological effects of spleen cold and spleen heat syndromes in rats and mechanism of regulating spleen channel with its warm nature based on TRP ion channel.
Xing-Yu ZHAO ; Yi LI ; Xiao-Fang WU ; Qi ZHANG ; Lin-Ze LI ; Yin-Ming ZHAO ; Chun WANG ; Jian-Jun ZHANG ; Lin-Yuan WANG
China Journal of Chinese Materia Medica 2025;50(8):2022-2031
This paper aims to investigate the influence of eucalyptol on the biological effects of spleen cold and spleen heat syndromes in rats and its regulation of transient receptor potential vanilloid 1(TRPV1), transient receptor potential melastatin 8(TRPM8), and uncoupling protein 1(UCP1), so as to explore the cold-heat properties of eucalyptol. Rats were randomly divided into groups as follows: blank group, spleen cold syndrome model group, spleen cold syndrome+Atractylodis Rhizoma group, spleen cold syndrome + low-dose eucalyptol group, and spleen cold syndrome+high-dose eucalyptol group, as well as blank group, spleen heat syndrome model group, spleen heat syndrome+Coptidis Rhizoma group, spleen heat syndrome + low-dose eucalyptol group, and spleen heat syndrome + high-dose eucalyptol group. Spleen cold and spleen heat syndromes were induced by disorders of hunger and satiety combined with bitter cold drugs, as well as a high-fat diet combined with liquor. Except for the blank and model groups, the other groups were administered once a day during the modeling process for 14 consecutive days. The general condition and body weight of rats in each group were observed, and the histopathological morphology of the gastric antrum and small intestine was observed by hematoxylin-eosin(HE) staining. The contents of cyclic adenosine monophosphate(cAMP), cyclic guanosine monophosphate(cGMP), triiodothyronine(T3), thyroxine(T4), Na~+-K~+-ATPase, total cholesterol(TC), triglyceride(TG), gastrin(GAS), motilin(MTL), D-xylose, and other related indices were detected in rats. The expression levels of TRPV1, TRPM8, and UCP1 in small intestine tissue of rats with spleen cold syndrome were detected. The results showed that eucalyptol had a certain degree of improvement in the overall state and body weight of rats with spleen cold syndrome. Compared with the spleen cold syndrome model group, high-dose eucalyptol significantly increased the levels of serum cAMP, cAMP/cGMP, TG, and TC in rats with spleen cold syndrome(P<0.05, P<0.01), decreased the content of cGMP, and significantly elevated the levels of gastrointestinal function-related indicators GAS, MTL, and D-xylose(P<0.05, P<0.01). Low-dose eucalyptol significantly increased the level of cAMP/cGMP in the serum and Na~+-K~+-ATPase levels in hepatic tissue(P<0.05, P<0.01), and significantly increased the levels of GAS and D-xylose(P<0.01). Eucalyptol showed similar effects to Atractylodis Rhizoma with a warm nature on rats with spleen cold syndrome. Compared with the spleen heat syndrome model group, the high-dose and low-dose eucalyptol groups showed a trend of increase in gastrointestinal indicators, with no significant changes in other indicators. In addition, high-dose eucalyptol increased the expression of TRPV1 and UCP1 and decreased the expression of TRPM8 in the small intestine tissue of rats with spleen cold syndrome. Eucalyptol could affect the cyclic nucleotide and material energy metabolism levels of rats with spleen cold syndrome and had a certain improvement effect on their gastrointestinal digestion and absorption function, thereby improving spleen cold syndrome. Eucalyptol had no significant improvement effect on rats with spleen heat syndrome, suggesting that eucalyptol may have a warm nature and regulate spleen meridians. It is speculated that eucalyptol may exhibit its medicinal properties by activating the TRPV1 pathway, promoting the expression of UCP1, and inhibiting the TRPM8 channel.
Animals
;
Rats
;
Spleen/metabolism*
;
Male
;
TRPV Cation Channels/genetics*
;
Rats, Sprague-Dawley
;
Eucalyptol/administration & dosage*
;
TRPM Cation Channels/genetics*
;
Uncoupling Protein 1/genetics*
;
Humans
;
Drugs, Chinese Herbal/administration & dosage*
;
Cold Temperature
;
Cyclic GMP/metabolism*

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