This study investigated the effects and underlying mechanisms of vanillic acid(VA) against cardiac fibrosis(CF) induced by isoproterenol(ISO) in mice. Male C57BL/6J mice were randomly divided into control group, VA group(100 mg·kg~(-1), ig), ISO group(10 mg·kg~(-1), sc), ISO + VA group(10 mg·kg~(-1), sc + 100 mg·kg~(-1), ig), ISO + dynamin-related protein 1(Drp1) inhibitor(Mdivi-1) group(10 mg·kg~(-1), sc + 50 mg·kg~(-1), ip), and ISO + VA + Mdivi-1 group(10 mg·kg~(-1), sc + 100 mg·kg~(-1), ig + 50 mg·kg~(-1), ip). The treatment groups received the corresponding medications once daily for 14 consecutive days. On the day after the last administration, cardiac functions were evaluated, and serum and cardiac tissue samples were collected. These samples were analyzed for serum aspartate aminotransferase(AST), lactate dehydrogenase(LDH), creatine kinase-MB(CK-MB), cardiac troponin I(cTnI), reactive oxygen species(ROS), interleukin(IL)-1β, IL-4, IL-6, IL-10, IL-18, and tumor necrosis factor-α(TNF-α) levels, as well as cardiac tissue catalase(CAT), glutathione(GSH), malondialdehyde(MDA), myeloperoxidase(MPO), superoxide dismutase(SOD), total antioxidant capacity(T-AOC) activities, and cytochrome C levels in mitochondria and cytoplasm. Hematoxylin-eosin, Masson, uranium acetate and lead citrate staining were used to observe morphological and mitochondrial ultrastructural changes in the cardiac tissues, and myocardial injury area and collagen volume fraction were calculated. Flow cytometry was applied to detect the relative content and M1/M2 polarization of cardiac macrophages. The mRNA expression levels of macrophage polarization markers [CD86, CD206, arginase 1(Arg-1), inducible nitric oxide synthase(iNOS)], CF markers [type Ⅰ collagen(Coll Ⅰ), Coll Ⅲ, α-smooth muscle actin(α-SMA)], and cytokines(IL-1β, IL-4, IL-6, IL-10, IL-18, TNF-α) in cardiac tissues were determined by quantitative real-time PCR. Western blot was used to detect the protein expression levels of Coll Ⅰ, Coll Ⅲ, α-SMA, Drp1, p-Drp1, voltage-dependent anion channel(VDAC), hexokinase 1(HK1), NOD-like receptor protein 3(NLRP3), apoptosis-associated speck-like protein(ASC), caspase-1, cleaved-caspase-1, gasdermin D(GSDMD), cleaved N-terminal gasdermin D(GSDMD-N), IL-1β, IL-18, B-cell lymphoma-2(Bcl-2), B-cell lymphoma-xl(Bcl-xl), Bcl-2-associated death promoter(Bad), Bcl-2-associated X protein(Bax), apoptotic protease activating factor-1(Apaf-1), pro-caspase-3, cleaved-caspase-3, pro-caspase-9, cleaved-caspase-9, poly(ADP-ribose) polymerase-1(PARP-1), and cleaved-PARP-1 in cardiac tissues. The results showed that VA significantly improved cardiac function in mice with CF, reduced myocardial injury area and cardiac index, and decreased serum levels of AST, CK-MB, cTnI, LDH, ROS, IL-1β, IL-6, IL-18, and TNF-α. VA also lowered MDA and MPO levels, mRNA expressions of IL-1β, IL-6, IL-18, and TNF-α, and mRNA and protein expressions of Coll Ⅰ, Coll Ⅲ, and α-SMA in cardiac tissues, and increased serum levels of IL-4 and IL-10, cardiac tissue levels of CAT, GSH, SOD, and T-AOC, and mRNA expressions of IL-4 and IL-10. Additionally, VA ameliorated cardiac pathological damage, inhibited myocardial cell apoptosis, inflammatory infiltration, and collagen fiber deposition, reduced collagen volume fraction, and alleviated mitochondrial damage. VA decreased the ratio of F4/80~+CD86~+ M1 cells and the mRNA expressions of CD86 and iNOS in cardiac tissue, and increased the ratio of F4/80~+CD206~+ M2 cells and the mRNA expressions of CD206 and Arg-1. VA also reduced protein expressions of p-Drp1, VDAC, NLRP3, ASC, caspase-1, cleaved-caspase-1, GSDMD, GSDMD-N, IL-1β, IL-18, Bad, Bax, Apaf-1, cleaved-caspase-3, cleaved-caspase-9, cleaved-PARP-1, and cytoplasmic cytochrome C, and increased the expressions of HK1, Bcl-2, Bcl-xl, pro-caspase-3, pro-caspase-9 proteins, as well as the Bcl-2/Bax and Bcl-xl/Bad ratios and mitochondrial cytochrome C content. These results indicate that VA has a significant ameliorative effect on ISO-induced CF in mice, alleviates ISO-induced oxidative damage and inflammatory response, and its mechanism may be closely related to the inhibition of Drp1/HK1/NLRP3 and mitochondrial apoptosis signaling pathways, suppression of myocardial cell inflammatory infiltration and collagen fiber deposition, reduction of collagen volume fraction and CollⅠ, Coll Ⅲ, and α-SMA expressions, thus mitigating CF.
Animals ; Isoproterenol/adverse effects* ; Male ; Mice ; Signal Transduction/drug effects* ; Vanillic Acid/administration & dosage* ; Dynamins/genetics* ; Mice, Inbred C57BL ; Fibrosis/genetics* ; Apoptosis/drug effects* ; Mitochondria/metabolism* ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Myocardium/metabolism* ; Humans

Colorectal cancer(CRC) is one of the most common malignant tumors worldwide, primarily originating from recurrent inflammatory bowel disease(IBD). Therefore, blocking the inflammation-cancer transformation in the colon has become a focus in the early prevention and treatment of CRC. The inflammation-cancer transformation in the colon involves multiple types of cells and complex pathological processes, including inflammatory responses and tumorigenesis. In this complex pathological process, immune cells(including non-specific and specific immune cells) and non-immune cells(such as tumor cells and fibroblasts) interact with each other, collectively promoting the progression of the disease. In traditional Chinese medicine(TCM), inflammation-cancer transformation in the colon belongs to the categories of dysentery and diarrhea, with the main pathogenesis being cold and heat in complexity. This paper first elaborates on the complex molecular mechanisms involved in the inflammation-cancer transformation process in the colon from the perspectives of inflammation, cancer, and their mutual influences. Subsequently, by comparing the pathogenic characteristics and clinical manifestations between inflammation-cancer transformation and the TCM pathogenesis of cold and heat in complexity, this paper explores the intrinsic connections between the two. Furthermore, based on the correlation between inflammation-cancer transformation in the colon and the TCM pathogenesis, this paper delves into the importance of the interaction between inflammation and cancer. Finally, it summarizes and discusses the clinical and basic research progress in the TCM intervention in the inflammation-cancer transformation process, providing a theoretical basis and treatment strategy for the treatment of CRC with integrated traditional Chinese and Western medicine.
Humans ; Colon/pathology* ; Integrative Medicine ; Animals ; Cold Temperature ; Cell Transformation, Neoplastic/drug effects* ; Medicine, Chinese Traditional ; Hot Temperature ; Inflammation ; Drugs, Chinese Herbal/therapeutic use* ; Colonic Neoplasms/drug therapy*

OBJECTIVE To provide standardized whole-process guidance on drug traceability codes for medical institutions in Sichuan province， ensuring medication safety and compliance with medical insurance supervision requirements. METHODS Based on evidence-based principles and expert consensus， Expert Consensus on Whole-process Management of Drug Traceability Codes in Medical Institutions of Sichuan Province （hereinafter referred to as the Consensus） was formulated through systematic literature review， field investigations， establishment of a multidisciplinary expert committee and multiple rounds of questionnare consultation via the modified Delphi method， and finalized through consensus meetings. RESULTS & CONCLUSIONS The Consensus clarifies key operating procedures for code verification， code assignment and code return， whole-process operational standards for drug warehouse acceptance and storage， drug warehouse outbound delivery and pharmacy acceptance check， drug distribution and dispensing in pharmacy and intravenous admixture center， medication administration in nursing units and examination departments， as well as drug return process. Key recommendations are proposed such as improving the core functions of the drug traceability system， unifying the hospital-wide traceability code database， strengthening the management of traceability codes for backup medications， establishing a management organization and institutional framework， and optimizing the architectural design and data governance requirements of the drug traceability system. The release of the Consensus will provide scientific， standardized and implementable practical guidelines for medical institutions of Sichuan province， helping to improve closed-loop management of the drug traceability system， strengthen medication safety and fulfil medical insurance fund supervision.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.

Objective To explore the regulatory effect of methyltransferase-like 3(METTL3)on m6A methylation of Sigma-1 receptor(Sigma-1R)mRNA and mitophagy in cerebral microvascular endothelial cells of sepsis mice.Methods Twelve adult male C57BL/6J mice were randomly divided into the Sham group(without cecal ligation or puncture)and the sepsis group(received cecal ligation and puncture),with 6 mice in each group.m6A methylation levels,and relative expression of METTL3 and Sigma-1R mRNA and protein in cerebral micro-vascular tissues were detected by m6A Dot blot,RT-qPCR,and Western blot,respectively.The bEnd.3 cells were cultured in vitro and divided into the control group(normal culture),model group[lipopolysaccharide(LPS)-induced in vitro sepsis],si-NC group(LPS treat-ment combined with si-NC transfection),and si-METTL3 group(LPS treatment combined with si-METTL3 transfection).m6A Dot blot was used to detect m6A methylation levels of cells in each group;RT-qPCR was used to detect the mRNA expression of METTL3 and Sigma-1R;and Western blot was used to detect the expression of METTL3,Sigma-1R,and autophagy-related proteins of Bnip3,LC3B,and Beclin1.m6A chromatin immunoprecipitation-qPCR was used to detect m6A methylation level of Sigma-1R of cells in each group.JC-1 probe was used to detect the mitochondrial membrane potential,and the ATP assay kit was used to detect the mitochondrial ATP content.Results Compared with the Sham group,the sepsis group showed increased m6A methylation level and METTL3 expression(P<0.05),and decreased Sigma-1R expression in cerebral microvascular tissues(P<0.05).Compared with the control group,m6A methylation level,METTL3 expression and m6A methylation level of Sigma-1R mRNA increased,the expression of Sigma-1R,the normal rate and increase rate of mitochondrial membrane potential,and the ATP content decreased,and the protein expression of Bnip3,LC3B and Beclin1 downregulated in the model group and the si-NC group,with statistically significant differences(P<0.05).Compared with the si-NC group,m6A methylation level,METTL3 expression and m6A methylation level of Sigma-1R mRNA decreased,the expression of Sigma-1R,the normal rate and increase rate of mitochondrial membrane potential elevated,the ATP content increased,and the protein expression of Bnip3,LC3B and Beclin1 upregulated in the si-METTL3 group,with statistically significant differences(P<0.05).Conclusion Silencing METTL3 can inhibit m6A methylation of Sigma-1R mRNA and promote the mitophagy in cerebral microvascular endothelial cells of septic mice.

Objective To evaluate the effect of donor gender on short-term survival rate of lung transplant recipients. Methods A retrospective analysis was conducted on the data of 1 066 lung transplant recipients. The log-rank test was used to evaluate the differences in short-term fatality among different donor gender groups and donor-recipient gender combination groups. Multivariate Cox regression, propensity score (PS) regression, and propensity score matching (PSM) were employed to control for confounding factors and further assess the differences in fatality. Subgroup analyses were also performed based on donor gender. Results Multivariate Cox regression analysis showed no statistically significant differences in fatality at 30 days, 1 year, 2 years and 3 years postoperatively between male and female donor groups (all P>0.05). After PS regression and PSM, univariate Cox regression analysis indicated that recipients from female donors had a higher fatality at 2 years postoperatively compared to those from male donors, with hazard ratios (95% confidence intervals) of 1.29 (1.01-1.65) and 1.36 (1.03-1.80) respectively. Multivariate Cox regression analysis also revealed no statistically significant differences in fatality at various follow-up time points among different donor-recipient gender combination groups (all P>0.05). Subgroup analyses based on donor sex showed no statistically significant differences in fatality among recipients of different gender within either male or female donor groups (all P>0.05). Conclusions Female donors may reduce the short-term postoperative survival rate of lung transplant recipients, but this negative impact is not sustainable in the long term. At present, there is no evidence to support the inclusion of sex as a factor in lung allocation rules.

Objective To explore the regulatory effect of methyltransferase-like 3(METTL3)on m6A methylation of Sigma-1 receptor(Sigma-1R)mRNA and mitophagy in cerebral microvascular endothelial cells of sepsis mice.Methods Twelve adult male C57BL/6J mice were randomly divided into the Sham group(without cecal ligation or puncture)and the sepsis group(received cecal ligation and puncture),with 6 mice in each group.m6A methylation levels,and relative expression of METTL3 and Sigma-1R mRNA and protein in cerebral micro-vascular tissues were detected by m6A Dot blot,RT-qPCR,and Western blot,respectively.The bEnd.3 cells were cultured in vitro and divided into the control group(normal culture),model group[lipopolysaccharide(LPS)-induced in vitro sepsis],si-NC group(LPS treat-ment combined with si-NC transfection),and si-METTL3 group(LPS treatment combined with si-METTL3 transfection).m6A Dot blot was used to detect m6A methylation levels of cells in each group;RT-qPCR was used to detect the mRNA expression of METTL3 and Sigma-1R;and Western blot was used to detect the expression of METTL3,Sigma-1R,and autophagy-related proteins of Bnip3,LC3B,and Beclin1.m6A chromatin immunoprecipitation-qPCR was used to detect m6A methylation level of Sigma-1R of cells in each group.JC-1 probe was used to detect the mitochondrial membrane potential,and the ATP assay kit was used to detect the mitochondrial ATP content.Results Compared with the Sham group,the sepsis group showed increased m6A methylation level and METTL3 expression(P<0.05),and decreased Sigma-1R expression in cerebral microvascular tissues(P<0.05).Compared with the control group,m6A methylation level,METTL3 expression and m6A methylation level of Sigma-1R mRNA increased,the expression of Sigma-1R,the normal rate and increase rate of mitochondrial membrane potential,and the ATP content decreased,and the protein expression of Bnip3,LC3B and Beclin1 downregulated in the model group and the si-NC group,with statistically significant differences(P<0.05).Compared with the si-NC group,m6A methylation level,METTL3 expression and m6A methylation level of Sigma-1R mRNA decreased,the expression of Sigma-1R,the normal rate and increase rate of mitochondrial membrane potential elevated,the ATP content increased,and the protein expression of Bnip3,LC3B and Beclin1 upregulated in the si-METTL3 group,with statistically significant differences(P<0.05).Conclusion Silencing METTL3 can inhibit m6A methylation of Sigma-1R mRNA and promote the mitophagy in cerebral microvascular endothelial cells of septic mice.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.

In the context of "New Era" and "New Medicine", the teaching team of laboratory diagnostics proposed a new teaching method of PDCA (Plan, Do, Check, Action) cycle to innovate the instructional design and implementation of laboratory diagnosis on the base of traditional teaching model. Through optimizing the curriculum system, integrating superior resources, taking full advantage of information technology, mobilizing the virtual simulation laboratory, implementing moral education and multiple comprehensive evaluation results, the self-learning enthusiasm, innovation and development ability of students were improved significantly, accompanied with high humanistic care spirit. Moreover, the enthusiasm of participating in scientific research activities and professional competitions was enhanced obviously. Therefore, we believe that the PDCA cycle, with notable successes, deserves high promotion value and wide application.