To standardize the clinical application of oral Chinese patent medicines （CPMs）， and address the safety issues arising from their dosage form characteristics， irrational clinical use， and the lack of targeted pharmacovigilance systems， the China Association of Chinese Medicine organized the formulation and release of Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines， aiming to inform the safe clinical use of oral CPMs and related pharmacovigilance work. According to the principles of GB/T1.1—2020 and the Drug Administration Law of the People's Republic of China （2019 revision）， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， led a drafting group comprising 18 institutions. After multiple rounds of expert interviews， literature retrieval， evidence screening， and extensive solicitation of opinions， the Guidelines were registered internationally. Systematic standardization focused on safety monitoring， risk identification， assessment， control， and other aspects. The Guidelines clarified the characteristics of oral CPMs in terms of safety monitoring， known risks， and potential risks， compared to non-oral CPMs. Then， risk control measures were proposed， including medication in special populations and irrational medication. As a special guideline for pharmacovigilance in the clinical application of oral CPMs， the Guidelines systematically construct a technical system in line with the characteristics of traditional Chinese medicine （TCM）， which is essential for improving the clinical safety management of oral CPMs and provides an important reference for medical institutions， pharmaceutical manufacturers， and regulatory authorities.

To standardize the clinical application of oral Chinese patent medicines （CPMs）， and address the safety issues arising from their dosage form characteristics， irrational clinical use， and the lack of targeted pharmacovigilance systems， the China Association of Chinese Medicine organized the formulation and release of Pharmacovigilance Guidelines for Clinical Application of Oral Chinese Patent Medicines， aiming to inform the safe clinical use of oral CPMs and related pharmacovigilance work. According to the principles of GB/T1.1—2020 and the Drug Administration Law of the People's Republic of China （2019 revision）， the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， led a drafting group comprising 18 institutions. After multiple rounds of expert interviews， literature retrieval， evidence screening， and extensive solicitation of opinions， the Guidelines were registered internationally. Systematic standardization focused on safety monitoring， risk identification， assessment， control， and other aspects. The Guidelines clarified the characteristics of oral CPMs in terms of safety monitoring， known risks， and potential risks， compared to non-oral CPMs. Then， risk control measures were proposed， including medication in special populations and irrational medication. As a special guideline for pharmacovigilance in the clinical application of oral CPMs， the Guidelines systematically construct a technical system in line with the characteristics of traditional Chinese medicine （TCM）， which is essential for improving the clinical safety management of oral CPMs and provides an important reference for medical institutions， pharmaceutical manufacturers， and regulatory authorities.

ObjectiveTo construct and validate a predictive model for hepatic encephalopathy （HE） in patients with end-stage liver disease （ESLD） by combining key indicators such as cytokines and Model for End-Stage Liver Disease （MELD） score， and to provide evidence-based support for the early identification of high-risk populations and the optimization of intervention strategies in clinical practice. MethodsA retrospective analysis was performed for 2 167 patients with ESLD who were admitted to The Third People’s Hospital of Kunming from January 2022 to December 2024， the patients were divided into a training set with 1 517 patients and a validation set with 650 patients at a ratio of 7∶3 using the stratified random sampling method. A univariate analysis and a least absolute shrinkage and selection operator （LASSO） regression analysis were performed for the training set to identify potential influencing variables， and then a binary Logistic regression model was constructed to investigate the independent influencing factors for HE in ESLD patients. A nomogram prediction model was established based on this regression model， and the Hosmer-Lemeshow goodness-of-fit test was performed. The receiver operating characteristic （ROC） curve， calibration curves， decision curve analysis， and clinical impact curve were used to comprehensively evaluate the degree of fit， accuracy， consistency， and clinical practicability of the predictive model derived from the training set. The Mann-Whitney U test was used for comparison of non-normally distributed quantitative data between two groups. The chi-square test or Fisher exact test was used for comparison of categorical data between two groups. ResultsThe univariate analysis showed that there were significant differences between the study group and the control group in age， sex， blood ammonia， lymphocytes， hemoglobin， platelet count， prothrombin time， fibrinogen， international normalized ratio， total bilirubin， aspartate aminotransferase， total protein， albumin， prealbumin， alkaline phosphatase， cholinesterase， total bile acid， triglyceride， total cholesterol， high-density lipoprotein， low-density lipoprotein， blood glucose， CD3⁺ T cells， CD4⁺ T cells， CD8⁺ T cells， high-sensitivity C-reactive protein， carcinoembryonic antigen， triiodothyronine， thyroxine， free triiodothyronine， free thyroxine， interleukin-1β， interleukin-5， interleukin-6， interleukin-8， interleukin-12p70， interleukin-17， interferon-γ， and MELD score （all P<0.05）. The LASSO regression analysis identified nine variables of age， blood ammonia， albumin， prealbumin， cholinesterase， total cholesterol， thyroxine， interleukin-17， and MELD score， and the binary Logistic regression analysis showed that blood ammonia， interleukin-17， and MELD score were independent risk factors for HE in ESLD patients， while age and thyroxine were independent protective factors （all P<0.05）. A nomogram model was constructed based on these five variables. The Hosmer-Lemeshow goodness-of-fit test in the training set showed a good degree of fit （P=0.207）， with a McFadden’s pseudo-R² of 0.184， suggesting that the model had acceptable explanatory power； the Hosmer-Lemeshow goodness-of-fit test in the internal validation set further confirmed the calibration stability of the model （P=0.067）， suggesting that the model had a good degree of fit in independent data. The model had an area under the ROC curve of 0.784 in the validation set， with a sensitivity of 0.710 and a specificity of 0.752. The mean absolute error of the calibration curve was 0.067， and decision curve analysis and clinical impact curve showed that the nomogram model had positive net benefit and good clinical practicability. ConclusionThe nomogram model constructed based on age， blood ammonia， thyroxine， interleukin-17， and MELD score for predicting HE in patients with ESLD has a good degree of fit， high accuracy and consistency， and excellent clinical practicability.

BACKGROUND:Type 2 diabetes mellitus impairs renal function,and studies have shown that exercise interventions can protect the kidneys.Irisin can protect renal function in diabetic nephropathy patients by restoring autophagy through inhibition of the phosphoinositide 3-kinase(PI3K)/protein kinase B(Akt)/mammalian target of rapamycin(mTOR)signaling pathway. OBJECTIVE:To explore whether exercise can restore autophagy and ameliorate renal injury by inhibiting over-activation of the renal PI3K/Akt/mTOR signaling pathway,as well as to analyze the differences in the effects of different modalities of exercise. METHODS:Six-week-old Sprague-Dawley rats were randomly divided into a blank control group(normal rats)and a diabetic group,and then the diabetic group was randomly divided into a diabetic model group,a moderate-intensity continuous exercise group,and a high-intensity intermittent exercise group after successful modeling using high-fat,high-sugar feeding plus intraperitoneal administration of low-dose 1%streptozotocin(30 mg/kg).The two exercise groups were subjected to 8 weeks of exercise intervention with different exercise intensities.The fasting blood glucose concentration was detected by glucose oxidase method,glycated hemoglobin levels was measured using a kit,serum insulin concentration was detected by Elisa method,and insulin resistance index was calculated.Gene expression of PI3K,AKT,mTOR,Beclin-1,podocin,and nephrin was detected by RT-PCR.Protein expression of mTOR and autophagy marker proteins LC3-1,LC3-2,and Beclin-1 was detected by western blot RESULTS AND CONCLUSION:Fasting blood glucose and glycosylated hemoglobin levels were highly significantly increased,insulin resistance levels were significantly increased,and insulin levels were significantly decreased in type 2 diabetic rats.Both exercises resulted in highly significant decreases in fasting blood glucose and glycosylated hemoglobin levels,significant decreases in insulin resistance levels and significant increases in insulin levels in type 2 diabetic rats.Insulin levels were significantly higher in the high-intensity intermittent exercise group compared with the moderate-intensity continuous exercise group.The expression of podocin and nephrind genes was significantly reduced in type 2 diabetic rats and two different forms of exercise significantly the gene expression.There was a further trend toward an increase in gene expression of podocyte-associated proteins in the moderate-intensity continuous exercise group compared with the high-intensity intermittent exercise group,but there was no significant difference.The mRNA and protein expression of PI3K,AKT and mTORC1 in kidney tissues of type 2 diabetic rats were significantly increased,and the expression of autophagy marker proteins Beclin-1 and LC3-2 and LC3-2/LC3-1 were significantly decreased.Both different forms of exercise significantly decreased the mRNA and protein expression of PI3K,AKT,and mTORC1,and significantly increased the autophagy marker proteins Beclin-1,LC3-2,and LC3-2/LC3-1 in renal tissues.Compared with the moderate-intensity continuous exercise group,there was a trend toward further decreases in mRNA expression of PI3K,AKT,and mTORC1 and protein expression of mTOR,and a trend toward further elevation of Beclin-1,LC3-2,and LC3-2/LC3-1 in the high-intensity intermittent exercise group,but only Beclin-1 showed a significant difference between groups.In summary,renal podocyte injury in type 2 diabetes mellitus with suppressed autophagy is closely related to aberrant activation of the PI3K/AKT/mTORC1 signaling pathway.Both moderate-intensity continuous exercise and high-intensity intermittent exercise can protect the diabetic kidney,reduce podocyte damage,and restore renal podocyte autophagy,which may be achieved by inhibiting the excessive activation of the PI3K/AKT/mTOR signaling pathway.High-intensity intermittent exercise shows a trend toward more favorable restoration of autophagy compared with moderate-intensity continuous exercise,but with a slight decrease in podocyte protein expression.

ObjectiveTo investigate the value of noninvasive imaging detection （FibroScan）， two serological models of gamma-glutamyl transpeptidase-to-platelet ratio （GPR） score and S index， and two inflammatory factors of interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） in predicting liver fibrosis in patients with HBeAg-positive chronic hepatitis B （CHB）， as well as the consistency of liver biopsy in pathological staging， and to provide early warning for early intervention of CHB. MethodsA retrospective analysis was performed for 131 HBeAg-positive CHB patients who underwent liver biopsy in The Third People’s Hospital of Kunming from January 2019 to December 2023. The results of liver biopsy were collected from all patients， and related examinations were performed before liver biopsy， including total bilirubin， alanine aminotransferase， platelet count， gamma-glutamyl transpeptidase， albumin， IL-6， TNF-α， liver stiffness measurement （LSM）， and abdominal ultrasound. An analysis of variance was used for comparison of normally distributed continuous data between groups， and the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between groups； the chi-square test was used for comparison of categorical data between groups. A Kappa analysis was used to investigate the consistency between LSM noninvasive histological staging and pathological staging based on liver biopsy， and the Spearman analysis was used to investigate the correlation between each variable and FibroScan in the diagnosis of liver fibrosis stage. The Logistic regression analysis was used to construct joint predictive factors. The receiver operating characteristic （ROC） curve was used to evaluate the value of each indicator alone and the joint predictive model in the diagnosis of liver fibrosis， and the Delong test was used for comparison of the area under the ROC curve （AUC）. ResultsIn the consistency check， inflammation degree based on liver biopsy had a Kappa value of 0.807 （P<0.001）， and liver fibrosis degree based on liver biopsy had a Kappa value of 0.827 （P<0.001）， suggesting that FibroScan noninvasive histological staging and liver biopsy showed good consistency in assessing inflammation degree and liver fibrosis stage. Age was positively correlated with LSM， GPR score， S index， IL-6， and TNF-α （all P<0.05）， and GPR score， S index， IL-6， and TNF-α were positively correlated with LSM （all P<0.05）. GPR score， S index， IL-6， and TNF-α were all independent risk factors for diagnosing significant liver fibrosis （≥S2） and progressive liver fibrosis （≥S3） （all P<0.05）. As for each indicator alone， GPR score had the highest value in the diagnosis of significant liver fibrosis （≥S2）， followed by S index， IL-6， and TNF-α， while S index had the highest value in the diagnosis of progressive liver fibrosis （≥S3）， followed by GPR score， TNF-α， and IL-6. The joint model had a higher predictive value than each indicator alone （all P<0.05）. ConclusionThere is a good consistency between FibroScan noninvasive histological staging and pathological staging based on liver biopsy. GPR score， S index， IL-6， and TNF-α are independent risk factors for evaluating different degree of liver fibrosis in CHB， and the combined prediction model established by them can better diagnose liver fibrosis.

Objective:To investigate the role and mechanism of leucine-rich α-2-glycoprotein 1 (LRG1) in the fibrosis of human pterygium fibroblasts (HPFs).Methods:A total of 30 nasal primary pterygium tissues from patients who underwent pterygium excision surgery and 30 nasal normal conjunctival tissues from patients who underwent strabismus correction surgery were collected from the First Affiliated Hospital of Harbin Medical University between January 2022 and March 2023, serving as the pterygium group and normal control group, respectively.LRG1 protein expression in both groups was detected by immunofluorescence staining.The mRNA and protein levels of LRG1 and transforming growth factor-β1 (TGF-β1) were evaluated by quantitative real-time PCR (qRT-PCR) and Western blot.Primary HPFs were cultured from excised pterygium tissues using tissue block adhesion method, and cell morphology was observed.Vmentin and cytokeratin were identified by immunofluorescence staining.HPFs were divided into recombinant human LRG1 (rhLRG1) group and blank control group treated with or without 10 μg/ml rhLRG1 for 24 hours, respectively, and cell migration was evaluated via scratch assay.Additionally, HPFs were divided into blank control group, LRG1 overexpression group and LRG1 knockdown group.HPFs in LRG1 overexpression group and LRG1 knockdown group were transfected with LRG1 overexpression plasmids and small interfering RNA for 24 hours, respectively.TGF-β1 mRNA level was evaluated by qRT-PCR and expression of TGF-β1, fibronectin (FN), type Ⅲ collagen (COL3), and α-smooth muscle actin (α-SMA) proteins were evaluated by Western blot.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of the First Affiliated Hospital of Harbin Medical University (No.2022IIT026).Written informed consent was obtained from each subject.Results:HPFs were successfully isolated, exhibiting spindle-shaped morphology with whorled arrangement, positive identification for vimentin, and negative immunofluorescence staining for cytokeratin.The migration rate of the rhLRG1 group was (83.01±2.56)%, significantly higher than (50.32±4.97)% of the blank control group ( t=9.59, P<0.001).Immunofluorescence staining results showed that compared with normal conjunctival tissue, LRG1 protein was significantly higher expressed in pterygium tissue and was widely distributed in fibrous connective tissue and epithelial layer.Both mRNA and protein levels of LRG1 and TGF-β1 were significantly higher in the pterygium group than in the normal control group (mRNA: t=10.18, 6.15, both P<0.05.protein: t=6.83, 8.79, both P<0.05).In the LRG1 overexpression group, mRNA level of TGF-β1, and protein levels of FN, COL3 and α-SMA were significantly increased compared with the blank control and LRG1 knockdown groups (all P<0.05). Conclusions:LRG1 promotes fibrosis and enhances the migration ability in HPFs, and its mechanism may be associated with the upregulation of the TGF-β1 signaling pathway.

Objective:To investigate the role and mechanism of leucine-rich α-2-glycoprotein 1 (LRG1) in the fibrosis of human pterygium fibroblasts (HPFs).Methods:A total of 30 nasal primary pterygium tissues from patients who underwent pterygium excision surgery and 30 nasal normal conjunctival tissues from patients who underwent strabismus correction surgery were collected from the First Affiliated Hospital of Harbin Medical University between January 2022 and March 2023, serving as the pterygium group and normal control group, respectively.LRG1 protein expression in both groups was detected by immunofluorescence staining.The mRNA and protein levels of LRG1 and transforming growth factor-β1 (TGF-β1) were evaluated by quantitative real-time PCR (qRT-PCR) and Western blot.Primary HPFs were cultured from excised pterygium tissues using tissue block adhesion method, and cell morphology was observed.Vmentin and cytokeratin were identified by immunofluorescence staining.HPFs were divided into recombinant human LRG1 (rhLRG1) group and blank control group treated with or without 10 μg/ml rhLRG1 for 24 hours, respectively, and cell migration was evaluated via scratch assay.Additionally, HPFs were divided into blank control group, LRG1 overexpression group and LRG1 knockdown group.HPFs in LRG1 overexpression group and LRG1 knockdown group were transfected with LRG1 overexpression plasmids and small interfering RNA for 24 hours, respectively.TGF-β1 mRNA level was evaluated by qRT-PCR and expression of TGF-β1, fibronectin (FN), type Ⅲ collagen (COL3), and α-smooth muscle actin (α-SMA) proteins were evaluated by Western blot.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of the First Affiliated Hospital of Harbin Medical University (No.2022IIT026).Written informed consent was obtained from each subject.Results:HPFs were successfully isolated, exhibiting spindle-shaped morphology with whorled arrangement, positive identification for vimentin, and negative immunofluorescence staining for cytokeratin.The migration rate of the rhLRG1 group was (83.01±2.56)%, significantly higher than (50.32±4.97)% of the blank control group ( t=9.59, P<0.001).Immunofluorescence staining results showed that compared with normal conjunctival tissue, LRG1 protein was significantly higher expressed in pterygium tissue and was widely distributed in fibrous connective tissue and epithelial layer.Both mRNA and protein levels of LRG1 and TGF-β1 were significantly higher in the pterygium group than in the normal control group (mRNA: t=10.18, 6.15, both P<0.05.protein: t=6.83, 8.79, both P<0.05).In the LRG1 overexpression group, mRNA level of TGF-β1, and protein levels of FN, COL3 and α-SMA were significantly increased compared with the blank control and LRG1 knockdown groups (all P<0.05). Conclusions:LRG1 promotes fibrosis and enhances the migration ability in HPFs, and its mechanism may be associated with the upregulation of the TGF-β1 signaling pathway.

Pulpitis is an inflammatory response of dental pulp tissue triggered by external stimuli such as bacterial infection, mechanical trauma, and iatrogenic injury. Accurate diagnosis of pulpitis is essential for the success of minimally invasive endodontic treatments. However, the current diagnostic framework lacks objective indicators capable of precisely assessing the severity of pulp inflammation. Recent studies have revealed that biomarkers such as matrix metalloproteinases, cytokines, chemokines, non-coding RNAs, growth factors, and signaling molecules are closely associated with the degree of pulp inflammation. These findings suggested that biomarker-based molecular diagnostics held significant promise for advancing precision and minimally invasive approaches in endodontics. This review systematically discusses the current research progress, challenges, and future directions of biomarkers in the diagnosis and treatment of pulpitis.

Objective:To investigate gait alterations in patients with rheumatoid arthritis (RA) complicated with knee joint damage and to explore the potential of using gait analysis to evaluate the effectiveness of precision medical or surgical treatments in RA patients, serving as a reference for future gait-related research.Methods:A total of 45 patients with cumulative knee joint RA and 45 healthy control subjects were recruited from May 2021 to May 2022. Gait analysis and scale scoring were performed to compare gait changes between the two groups. Statistical tests including t-test, Mann-Whitney U, and Pearson Chi-square were used to assess group differences. Results:Compared with the control group, the objective gait indexes of the knee involvement in patients with rheumatoid arthritis were double support time [(523±127)ms and (333±45)ms, t=-9.48, P<0.001], total support time [(904±137) ms and (678±101)ms, t=-8.90, P<0.001], step length [(635±81) ms and (548±56) ms, t=-5.91, P<0.001], walking cycle [(1 273±169) ms and (1 075±104) ms, t=-4.76, P<0.001], the proportion of single support cycle (0.298±0.037 and 0.334±0.015, t=6.06, P<0.001), the proportion of double support cycle (0.408±0.069 and 0.309±0.021, t=-7.90, P<0.001), total support period ratio (0.709±0.035 and 0.628±0.041, t=-10.01, P<0.001), step length [(40±5)cm and (52±4)cm, t=9.02, P<0.001], step length [(77±11)cm and (104±8)cm, t=12.71, P<0.001] and the pace [(0.708±0.168) m/s and (1.050±0.192) m/s, t=8.98, P<0.001] were significantly different. Conclusion:Gait analysis can be utilized for the quantitative evaluation of patients with rheumatoid arthritis (RA), complicated with knee darnage, enabling objective quantification of assessment indicators and offering novel ideas and methodologies for diagnosing and treating of patients with RA.

Osteoporosis is a systemic disease characterized by imbalanced bone metabolism and destruction of bone microstructure, with reduced bone density, decreased bone quality, and significantly increased risk of fracture as its hallmarks. At present, osteoporosis is primarily diagnosed through bone density measurement. However, this method has low sensitivity and is challenging for the early diagnosis of osteoporosis. We analyzed osteoporosis-related metabolomics studies based on blood, urine, and fecal samples, as well as the application of multi-omics approaches in elucidating its pathogenesis. Evidence suggests that metabolomics can detect metabolic alterations prior to measurable changes in bone mineral density, offering promising avenues for early osteoporosis detection. Blood-based metabolomics studies indicate that amino acid metabolism dysregulation is a key feature of osteoporosis. Specifically, glycine, glutamine, lysine, and hydroxyproline exhibit negative correlations with bone mineral density, whereas tryptophan, branched-chain amino acids, and arginine show positive associations. Lipid metabolism disturbances are characterized by increased levels of phosphatidylcholine, phosphatidylethanolamine, and triglycerides, alongside decreased levels of sphingomyelin and carnitine. Fecal metabolomics studies highlight the significance of the "gut-bone axis" in osteoporosis, where gut microbiota dysbiosis influences bone metabolism through modulation of arginine and proline metabolism and aminoacyl-tRNA biosynthesis pathways. Multi-omics approaches integrate metabolomics, genomics, proteomics, and other omics data to provide a more comprehensive understanding of osteoporosis' molecular mechanisms, enabling the identification of key biomarkers and therapeutic targets. Metabolomics holds considerable potential for early diagnosis, while multi-omics integration offers novel insights into the complex pathophysiological mechanisms underlying osteoporosis. As detection technologies and analytical methods continue to advance, omics-based strategies are expected to play a pivotal role in the development of precision medicine for osteoporosis.