ObjectiveThis study aims to investigate the effects of Linggui Zhugantang （LGZGT） on ventricular remodeling （VR） in mice with myocardial infarction （MI） and its impact on the Ras homologgene A （RhoA）/Rho-associated coiled-coil forming protein kinase （ROCK） signaling pathway. MethodsThe MI model of mice was established by ligating the left anterior descending coronary artery （LAD）. They were divided into the sham-operated group， the model group， the low-dose， medium-dose， and high-dose groups of LGZGT （2.34， 4.68， 9.36 g·kg^-1）， and the captopril group （3.25 mg·kg^-1）， with 10 mice in each group. After four weeks of continuous drug administration by gavage， the level of cardiac function in each group of mice was examined using small animal Doppler ultrasound. Hematoxylin-eosin （HE） staining and Masson staining was used to assess the morphological changes of myocardial tissue and calculate the rate of collagen fiber deposition in mouse myocardial tissue. Wheat germ agglutinin （WGA） staining was employed to compare the cross-sectional area of cardiomyocytes in each group of mice. The expression levels of α-smooth muscle actin （α-SMA）， matrix metalloproteinase-2 （MMP-2）， type Ⅰcollagen （Col Ⅰ）， Col Ⅲ， tissue inhibitor of metalloproteinase 1（TIMP1）， B-cell lymphoma-2 （Bcl-2）-associated X protein （Bax）， Bcl-2， Caspase-3， and cleaved Caspase-3 were detected by Western blot. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to evaluate the mRNA levels of the pathway-related genes RhoA， ROCK1， and ROCK2. The protein expression levels of RhoA， ROCK1， and ROCK2 were tested by Western blot. ResultsThe level of cardiac function was markedly declined in the model group compared to the sham-operated group（P<0.01）. Myocardial tissue morphology changed significantly. The cross-sectional area of cardiomyocytes was significantly enlarged. The expression of α-SMA， MMP-2， Col Ⅰ， and Col Ⅲ was significantly upregulated（P<0.01）， and TIMP1 protein expression was significantly reduced（P<0.01）. The expressions of apoptosis-related proteins Bax were significantly up-regulated（P<0.01）， while the expression of Bcl-2 protein was significantly decreased（P<0.01）. The mRNA expression of RhoA， ROCK1， and ROCK2 were significantly upregulated （P<0.01）. Compared to the model group， the low-dose， medium-dose， and high-dose groups of LGZGT and the captopril group significantly reversed the experimental results of the model group in a dose-dependent manner （P<0.05， P<0.01）. ConclusionLGZGT significantly attenuated myocardial fibrosis， myocardial hypertrophy， and cardiomyocyte apoptosis after MI in mice and effectively reversed VR， the mechanism of which may be related to the modulation of the RhoA/ROCK signaling pathway.

ObjectiveThis study aims to investigate the effects of Linggui Zhugantang （LGZGT） on ventricular remodeling （VR） in mice with myocardial infarction （MI） and its impact on the Ras homologgene A （RhoA）/Rho-associated coiled-coil forming protein kinase （ROCK） signaling pathway. MethodsThe MI model of mice was established by ligating the left anterior descending coronary artery （LAD）. They were divided into the sham-operated group， the model group， the low-dose， medium-dose， and high-dose groups of LGZGT （2.34， 4.68， 9.36 g·kg^-1）， and the captopril group （3.25 mg·kg^-1）， with 10 mice in each group. After four weeks of continuous drug administration by gavage， the level of cardiac function in each group of mice was examined using small animal Doppler ultrasound. Hematoxylin-eosin （HE） staining and Masson staining was used to assess the morphological changes of myocardial tissue and calculate the rate of collagen fiber deposition in mouse myocardial tissue. Wheat germ agglutinin （WGA） staining was employed to compare the cross-sectional area of cardiomyocytes in each group of mice. The expression levels of α-smooth muscle actin （α-SMA）， matrix metalloproteinase-2 （MMP-2）， type Ⅰcollagen （Col Ⅰ）， Col Ⅲ， tissue inhibitor of metalloproteinase 1（TIMP1）， B-cell lymphoma-2 （Bcl-2）-associated X protein （Bax）， Bcl-2， Caspase-3， and cleaved Caspase-3 were detected by Western blot. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to evaluate the mRNA levels of the pathway-related genes RhoA， ROCK1， and ROCK2. The protein expression levels of RhoA， ROCK1， and ROCK2 were tested by Western blot. ResultsThe level of cardiac function was markedly declined in the model group compared to the sham-operated group（P<0.01）. Myocardial tissue morphology changed significantly. The cross-sectional area of cardiomyocytes was significantly enlarged. The expression of α-SMA， MMP-2， Col Ⅰ， and Col Ⅲ was significantly upregulated（P<0.01）， and TIMP1 protein expression was significantly reduced（P<0.01）. The expressions of apoptosis-related proteins Bax were significantly up-regulated（P<0.01）， while the expression of Bcl-2 protein was significantly decreased（P<0.01）. The mRNA expression of RhoA， ROCK1， and ROCK2 were significantly upregulated （P<0.01）. Compared to the model group， the low-dose， medium-dose， and high-dose groups of LGZGT and the captopril group significantly reversed the experimental results of the model group in a dose-dependent manner （P<0.05， P<0.01）. ConclusionLGZGT significantly attenuated myocardial fibrosis， myocardial hypertrophy， and cardiomyocyte apoptosis after MI in mice and effectively reversed VR， the mechanism of which may be related to the modulation of the RhoA/ROCK signaling pathway.

ObjectiveTo investigate the mechanism of Shenkang injection in delaying diabetic kidney disease by regulating endoplasmic reticulum stress and attenuating podocyte apoptosis through the Glucose regulated protein 78 （ GRP78 ） / transcription factor C / EBP homologous protein （ CHOP ） signaling pathway （GRP78/CHOP） signaling pathway. MethodsFor the animal experiment， 10 12-week-old db/m mice were selected as a normal group， and 30 12-week-old db/db mice were randomly divided into a model group， a Shenkang injection group （15.6 mL·kg^-1）， and a dapagliflozin group （1.6 mg·kg^-1）. To observe the general condition of mice， fasting blood glucose， urinary albumin/urine creatinine （ACR）， and 24 h urine protein quantification were detected in each group before drug administration. After 12 weeks of drug treatment， mice were tested for fasting blood glucose， total cholesterol （TC）， triglyceride （TG）， low-density cholesterol （LDL）， ACR， 24 h urine protein quantification， blood creatinine （SCr）， and blood urea （UREA）. Hematoxylin-eosin （HE） staining， periodic acid-Schiff （PAS） staining， and transmission electron microscopy were used to observe the pathologic morphology in renal tissue. Immunohistochemistry was used to detect the expressions of nephroprotective marker protein （Nephrin）， glucose-regulated protein 78 （GRP78）， CCAAT/enhancer-binding protein homologous protein （CHOP）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax） in renal tissue. Western blot was used to detect the expressions of GRP78， CHOP， Bcl-2， Bax， and Nephrin proteins， and Real-time polymerase chain reaction （Real-time PCR） was employed to detect the expressions of Nephrin， GRP78， CHOP， Bcl-2， and Bax mRNAs in renal tissue. ResultsBefore drug administration， compared with those in the normal group， the body mass of db/db mice was significantly increased， and blood glucose， 24 h urine protein quantification， and ACR were significantly elevated in the Shenkang injection group and Dapagliflozin group （P<0.01）. After 12 weeks of administration， compared with those in the model group， the general state of mice in the Shenkang injection group was significantly improved， and the body mass was decreased. The blood glucose was significantly reduced （P<0.01）， and blood lipids TC， TG， and LDL were significantly decreased （P<0.05， P<0.01）. The 24 h urine protein quantification and ACR were significantly decreased （P<0.05）， and SCr and UREA were significantly reduced （P<0.01）. Compared with those of the model group， the pathologic results of the Shenkang injection group showed that proliferation of mesangial cells， reduction of inflammatory cell infiltration， and alleviation of renal tubular vacuolization and podocyte damage were observed in renal tissue of mice. Electron microscopy showed that fusion of the pedicle protruding and thickening of the basement membrane were reduced. Immunohistochemistry results showed that the expressions of GRP78， CHOP， and Bax proteins were significantly reduced （P<0.01）， and the expressions of Nephrin and Bcl-2 proteins were significantly increased （P<0.01） in renal tissue of the Shenkang injection group. Western blot results showed that the expressions of Nephrin and Bcl-2 in the Shenkang injection group were significantly increased （P<0.05， P<0.01）， and the expressions of GRP78， CHOP， and Bax proteins were significantly decreased （P<0.05， P<0.01）. Real-time PCR results showed that the expressions of GRP78， CHOP， and Bax mRNAs were down regulated in the Shenkang injection group （P<0.01）， and the expressions of Nephrin and Bcl-2 mRNAs were up regulated （P<0.01）. ConclusionShenkang injection inhibits endoplasmic reticulum stress response and podocyte apoptosis by regulating the GRP78/CHOP signaling pathway， which in turn ensures the integrity of glomerular filtration barrier， reduces the occurrence of proteinuria， improves renal function， and thus delays the progression of diabetic kidney disease.

ObjectiveTo investigate the mechanism of Shenkang injection in delaying diabetic kidney disease by regulating endoplasmic reticulum stress and attenuating podocyte apoptosis through the Glucose regulated protein 78 （ GRP78 ） / transcription factor C / EBP homologous protein （ CHOP ） signaling pathway （GRP78/CHOP） signaling pathway. MethodsFor the animal experiment， 10 12-week-old db/m mice were selected as a normal group， and 30 12-week-old db/db mice were randomly divided into a model group， a Shenkang injection group （15.6 mL·kg^-1）， and a dapagliflozin group （1.6 mg·kg^-1）. To observe the general condition of mice， fasting blood glucose， urinary albumin/urine creatinine （ACR）， and 24 h urine protein quantification were detected in each group before drug administration. After 12 weeks of drug treatment， mice were tested for fasting blood glucose， total cholesterol （TC）， triglyceride （TG）， low-density cholesterol （LDL）， ACR， 24 h urine protein quantification， blood creatinine （SCr）， and blood urea （UREA）. Hematoxylin-eosin （HE） staining， periodic acid-Schiff （PAS） staining， and transmission electron microscopy were used to observe the pathologic morphology in renal tissue. Immunohistochemistry was used to detect the expressions of nephroprotective marker protein （Nephrin）， glucose-regulated protein 78 （GRP78）， CCAAT/enhancer-binding protein homologous protein （CHOP）， B-cell lymphoma-2 （Bcl-2）， and Bcl-2-associated X protein （Bax） in renal tissue. Western blot was used to detect the expressions of GRP78， CHOP， Bcl-2， Bax， and Nephrin proteins， and Real-time polymerase chain reaction （Real-time PCR） was employed to detect the expressions of Nephrin， GRP78， CHOP， Bcl-2， and Bax mRNAs in renal tissue. ResultsBefore drug administration， compared with those in the normal group， the body mass of db/db mice was significantly increased， and blood glucose， 24 h urine protein quantification， and ACR were significantly elevated in the Shenkang injection group and Dapagliflozin group （P<0.01）. After 12 weeks of administration， compared with those in the model group， the general state of mice in the Shenkang injection group was significantly improved， and the body mass was decreased. The blood glucose was significantly reduced （P<0.01）， and blood lipids TC， TG， and LDL were significantly decreased （P<0.05， P<0.01）. The 24 h urine protein quantification and ACR were significantly decreased （P<0.05）， and SCr and UREA were significantly reduced （P<0.01）. Compared with those of the model group， the pathologic results of the Shenkang injection group showed that proliferation of mesangial cells， reduction of inflammatory cell infiltration， and alleviation of renal tubular vacuolization and podocyte damage were observed in renal tissue of mice. Electron microscopy showed that fusion of the pedicle protruding and thickening of the basement membrane were reduced. Immunohistochemistry results showed that the expressions of GRP78， CHOP， and Bax proteins were significantly reduced （P<0.01）， and the expressions of Nephrin and Bcl-2 proteins were significantly increased （P<0.01） in renal tissue of the Shenkang injection group. Western blot results showed that the expressions of Nephrin and Bcl-2 in the Shenkang injection group were significantly increased （P<0.05， P<0.01）， and the expressions of GRP78， CHOP， and Bax proteins were significantly decreased （P<0.05， P<0.01）. Real-time PCR results showed that the expressions of GRP78， CHOP， and Bax mRNAs were down regulated in the Shenkang injection group （P<0.01）， and the expressions of Nephrin and Bcl-2 mRNAs were up regulated （P<0.01）. ConclusionShenkang injection inhibits endoplasmic reticulum stress response and podocyte apoptosis by regulating the GRP78/CHOP signaling pathway， which in turn ensures the integrity of glomerular filtration barrier， reduces the occurrence of proteinuria， improves renal function， and thus delays the progression of diabetic kidney disease.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.

BACKGROUND:At present,osteoarthritis has become a major disease affecting the quality of life of the elderly,and the therapeutic effect is poor,often focusing on preventing the disease process,and the pathogenesis of osteoarthritis is still not fully understood.Bioinformatics analysis was carried out to explore the main pathogenesis of osteoarthritis and related mechanisms of gene coding regulation. OBJECTIVE:To screen core differential genes with a major role in osteoarthritis by gene expression profiling. METHODS:Datasets were downloaded from the Gene Expression Omnibus(GEO):GSE114007,GSE117999,and GSE129147.Differential genes in the GSE114007 and GSE117999 data collections were screened using R software,performing differential genes to weighted gene co-expression network analysis.The module genes most relevant to osteoarthritis were selected to perform protein interaction analysis.Candidate core genes were selected using the cytocape software.The candidate core genes were subsequently subjected to least absolute shrinkage and selection operator regression and COX analysis to identify the core genes with a key role in osteoarthritis.The accuracy of the core genes was validated using an external dataset,GSE129147. RESULTS AND CONCLUSION:(1)A total of 477 differential genes were identified,265 differential genes associated with osteoarthritis were obtained by weighted gene co-expression network analysis,and 8 candidate core genes were identified.The least absolute shrinkage and selection operator regression analysis finally yielded a differential gene ASPM with core value that was externally validated.(2)It is concluded that abnormal gene ASPM expression screened by bioinformatics plays a key central role in osteoarthritis.