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Xu X, Wang Y, Song Q, Zheng H, Lv J, Fu Z, Mao X, Li Y, Wu H, Zhang B. Mechanism of Zhenwu Decoction modulating TLR4/NF-κB/HIF-1α loop through miR-451 to delay renal fibrosis in type 2 CRS. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2024; 132:155632. [PMID: 38851985 DOI: 10.1016/j.phymed.2024.155632] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 03/20/2024] [Accepted: 04/11/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND Type 2 cardiorenal syndrome (CRS) is a progressive renal insufficiency in patients with chronic heart failure, but its pathophysiology is still unclear. The Chinese medicine Zhenwu Decoction plays an important role in the prevention and treatment of 2-CRS, however, its mechanism of action remains unknown. PURPOSE The aim of this study was to investigate whether the ameliorative effect of ZWD on 2-CRS renal fibrosis is related to the modulation of miR-451 expression and thus mediating the TLR4/NF-κB/HIF-1α loop. STUDY DESIGN AND METHODS A type 2 CRS rat model was constructed using ligation of the left anterior descending branch of the coronary artery + 3/4 nephrectomy, and randomly divided into Control, Sham, Model, Captopril, ZWD-L, ZWD-M and ZWD-H groups.After 4 weeks of ZWD intervention, its effects on cardiac and renal functions of type 2 CRS rats were observed by hematuria and cardiac ultrasonography. Changes in kidney tissue morphology were observed by HE, Masson and PASM staining. The protein and mRNA expression of TLR4, NF-κB, HIF-1α and IκBα in kidney tissues were detected by immunohistochemistry and qPCR. Immunofluorescence was used to detect the protein expression of NF-κB and HIF-1α in renal tissues. Western blot and qPCR were used to detect the protein expression of MCP-1, ICAM-1, IL-1β, IL-6, TGF-β, α-SMA, FN, Smad2, Smad3, and E-cadherin in renal tissues. PCR was used to detect the protein expression of miR-451mRNA expression level in kidney tissues. RESULTS In this study, we found that ZWD was able to reduce the expression of Scr, BUN, NT-proBNP, and 24-hour quantitative urine protein, elevate LVEF, FS, CO, and reduce the level of LVIDS in type 2 CRS rats, as well as attenuate renal interstitial fibrosis and improve tubular swelling. In addition, Zhenwu Decoction up-regulated the expression of miR-451 in renal tissues and inhibited the expression of TLR4, NF-κB, and HIF-1α proteins and genes, which in turn inhibited the expression of inflammatory factors and fibrosis-related factors. CONCLUSION ZWD was able to up-regulate the expression of miR-451 in renal tissues, inhibit the TLR4/NF-κB/HIF-1α response loop, and then inhibit the expression of inflammatory factors and fibrosis-related factors, improve renal fibrosis, and delay the pathological process of type 2 CRS.
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Affiliation(s)
- Xia Xu
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yajiao Wang
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qingqiao Song
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Haoran Zheng
- College of Traditional Chinese Medicine, Beijing University of Traditional Chinese Medicine, Beijing, China
| | - Jiayu Lv
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhenyue Fu
- College of Traditional Chinese Medicine, Beijing University of Traditional Chinese Medicine, Beijing, China
| | - Xinxin Mao
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yumeng Li
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Huaqin Wu
- Department of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Bingxuan Zhang
- Department of General Internal Medicine, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
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Zhang AB, Wang CC, Zhao P, Tong KT, He Y, Zhu XL, Fu HX, Wang FR, Mo XD, Wang Y, Zhao XY, Zhang YY, Han W, Chen H, Chen Y, Yan CH, Wang JZ, Han TT, Sun YQ, Chen YH, Chang YJ, Xu LP, Liu KY, Huang XJ, Zhang XH. A Prognostic Model Based on Clinical Biomarkers for Heart Failure in Adult Patients Following Allogeneic Hematopoietic Stem Cell Transplantation. Transplant Cell Ther 2023; 29:240.e1-240.e10. [PMID: 36634739 DOI: 10.1016/j.jtct.2022.12.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/05/2022] [Accepted: 12/13/2022] [Indexed: 01/11/2023]
Abstract
Heart failure (HF) is an uncommon but serious cardiovascular complication after allogeneic hematopoietic stem cell transplantation (allo-HSCT). Unfortunately, knowledge about early mortality prognostic factors in patients with HF after allo-HSCT is limited, and an easy-to-use prognostic model is not available. This study aimed to develop and validate a clinical-biomarker prognostic model capable of predicting HF mortality following allo-HSCT that uses a combination of variables readily available in clinical practice. To investigate this issue, we conducted a retrospective analysis at our center with 154 HF patients who underwent allo-HSCT between 2008 and 2021. The patients were separated according to the time of transplantation, with 100 patients composing the derivation cohort and the other 54 patients composing the external validation cohort. We first calculated the univariable association for each variable with 2-month mortality in the derivation cohort. We then included the variables with a P value <.1 in univariate analysis as candidate predictors in the multivariate analysis using a backward stepwise logistic regression model. Variables remaining in the final model were identified as independent prognostic factors. To predict the prognosis of HF, a scoring system was established, and scores were assigned to the prognostic factors based on the regression coefficient. Finally, 4 strongly significant independent prognostic factors for 2-month mortality from HF were identified using multivariable logistic regression methods with stepwise variable selection: pulmonary infection (P = .005), grade III to IV acute graft-versus-host disease (severe aGVHD; P = .033), lactate dehydrogenase (LDH) >426 U/L (P = .049), and brain natriuretic peptide (BNP) >1799 pg/mL (P = .026). A risk grading model termed the BLIPS score (for BNP, LDH, cardiac troponin I, pulmonary infection, and severe aGVHD) was constructed according to the regression coefficients. The validated internal C-statistic was .870 (95% confidence interval [CI], .798 to .942), and the external C-statistic was .882 (95% CI, .791-.973). According to the calibration plots, the model-predicted probability correlated well with the actual observed frequencies. The clinical use of the prognostic model, according to decision curve analysis, could benefit HF patients. The BLIPS model in our study can serve to identify HF patients at higher risk for mortality early, which might aid designing timely targeted therapies and eventually improving patients' survival and prognosis.
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Affiliation(s)
- Ao-Bei Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Chen-Cong Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Peng Zhao
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Ke-Ting Tong
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yun He
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Lu Zhu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Hai-Xia Fu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Feng-Rong Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Dong Mo
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yu Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiang-Yu Zhao
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yuan-Yuan Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Wei Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Huan Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yao Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Chen-Hua Yan
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Jing-Zhi Wang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Ting-Ting Han
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yu-Qian Sun
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Yu-Hong Chen
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Ying-Jun Chang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Lan-Ping Xu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Kai-Yan Liu
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Jun Huang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China
| | - Xiao-Hui Zhang
- Peking University People's Hospital, Peking University Institute of Hematology, Beijing, China.
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Role and Mechanism of the Renin-Angiotensin-Aldosterone System in the Onset and Development of Cardiorenal Syndrome. J Renin Angiotensin Aldosterone Syst 2022; 2022:3239057. [PMID: 35111237 PMCID: PMC8803448 DOI: 10.1155/2022/3239057] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 12/03/2021] [Accepted: 01/04/2022] [Indexed: 02/06/2023] Open
Abstract
Cardiorenal syndrome (CRS), a clinical syndrome involving multiple pathological mechanisms, exhibits high morbidity and mortality. According to the primary activity of the disease, CRS can be divided into cardiorenal syndrome (type I and type II), renal heart syndrome (type III and type IV), and secondary heart and kidney disease (type V). The renin-angiotensin-aldosterone system (RAAS) is an important humoral regulatory system of the body that exists widely in various tissues and organs. As a compensatory mechanism, the RAAS is typically activated to participate in the regulation of target organ function. RAAS activation plays a key role in the pathogenesis of CRS. The RAAS induces the onset and development of CRS by mediating oxidative stress, uremic toxin overload, and asymmetric dimethylarginine production. Research on the mechanism of RAAS-induced CRS can provide multiple intervention methods that are of great significance for reducing end-stage organ damage and further improving the quality of life of patients with CRS.
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Fibrosis, the Bad Actor in Cardiorenal Syndromes: Mechanisms Involved. Cells 2021; 10:cells10071824. [PMID: 34359993 PMCID: PMC8307805 DOI: 10.3390/cells10071824] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 07/08/2021] [Accepted: 07/13/2021] [Indexed: 02/06/2023] Open
Abstract
Cardiorenal syndrome is a term that defines the complex bidirectional nature of the interaction between cardiac and renal disease. It is well established that patients with kidney disease have higher incidence of cardiovascular comorbidities and that renal dysfunction is a significant threat to the prognosis of patients with cardiac disease. Fibrosis is a common characteristic of organ injury progression that has been proposed not only as a marker but also as an important driver of the pathophysiology of cardiorenal syndromes. Due to the relevance of fibrosis, its study might give insight into the mechanisms and targets that could potentially be modulated to prevent fibrosis development. The aim of this review was to summarize some of the pathophysiological pathways involved in the fibrotic damage seen in cardiorenal syndromes, such as inflammation, oxidative stress and endoplasmic reticulum stress, which are known to be triggers and mediators of fibrosis.
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