1
|
Zeng R, Zhang Y, Shi S, Long X, Zhang H, Wang M, Shi J, Jiang Y, Chen B. Study on the mechanism of Panax notoginseng-Salvia miltiorrhiza herb pair on invigorating blood circulation and eliminating blood stasis by blocking the conversion of arachidonic acid to prostaglandin. J Nat Med 2024; 78:411-426. [PMID: 38261160 DOI: 10.1007/s11418-023-01773-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/10/2023] [Indexed: 01/24/2024]
Abstract
We combined untargeted and targeted metabolomics to explore the mechanism of blood circulation and blood stasis activation in the traditional Chinese herb pair Panax notoginseng-Salvia miltiorrhiza (PS). In this study, the right hind limb of SD rats was struck by a 1 kg weight, causing traumatic blood stasis (TBS) model, then the rats were gavaged with PS (at ratios of 1:0, 0:1, 3:1, 1:1, and 1:3) for 5 consecutive days. At the end of treatment, blood samples were collected for blood rheology and metabolomics analysis, and muscle tissues of injured limbs were used for HE staining and q-PCR analysis. The results showed that different ratios of PS reduced swelling and improved stasis and blood viscosity in the injured limbs of rats, and intervened in metabolism by modulating 11, 11, 17, 15, and 13 differential metabolites, respectively. The PS (3:1) shows the best treatment effect and the most differential metabolites regression. Targeted metabolomics shows that PS (3:1) can increase the content of AA, and reduce the content of PGF2-α by down-regulating the expression of enzymes Ptgs1 and Cbrl12 and up-regulating the expression of enzyme Hpgd. These results suggested that the PS herb pair exerts its blood stasis activating effects by blocking the conversion of arachidonic acid to prostaglandins.
Collapse
Affiliation(s)
- Rui Zeng
- Affiliated Hospital of Integrative Medicine, Nanjing University of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China
- Key Research Laboratory of Chinese Medicine Release System, National Institute of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China
| | - Yuefan Zhang
- Affiliated Hospital of Integrative Medicine, Nanjing University of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China
- Key Research Laboratory of Chinese Medicine Release System, National Institute of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China
| | - Shengtong Shi
- Affiliated Hospital of Integrative Medicine, Nanjing University of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China
- Key Research Laboratory of Chinese Medicine Release System, National Institute of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China
| | - Xianqin Long
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210036, China
| | - Haixia Zhang
- Department of Pharmacy, The Affiliated Drum Tower Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Min Wang
- Department of Pharmacy, The Affiliated Drum Tower Hospital of Nanjing University Medical School, 321 Zhongshan Road, Nanjing, 210008, China
| | - Jianfeng Shi
- Affiliated Hospital of Integrative Medicine, Nanjing University of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China
| | - Ye Jiang
- Affiliated Hospital of Integrative Medicine, Nanjing University of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China
| | - Bin Chen
- Affiliated Hospital of Integrative Medicine, Nanjing University of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China.
- Key Research Laboratory of Chinese Medicine Release System, National Institute of Traditional Chinese Medicine, 100 Shizi Street, Nanjing, 210028, China.
| |
Collapse
|
2
|
Jiang W, Zhang C, Yu J, Shao J, Zheng R. Development and validation of a nomogram for predicting in-hospital mortality of elderly patients with persistent sepsis-associated acute kidney injury in intensive care units: a retrospective cohort study using the MIMIC-IV database. BMJ Open 2023; 13:e069824. [PMID: 36972970 PMCID: PMC10069590 DOI: 10.1136/bmjopen-2022-069824] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/29/2023] Open
Abstract
OBJECTIVES To identify the clinical risk factors that influence in-hospital mortality in elderly patients with persistent sepsis-associated acute kidney injury (S-AKI) and to establish and validate a nomogram to predict in-hospital mortality. DESIGN Retrospective cohort analysis. SETTING Data from critically ill patients at a US centre between 2008 and 2021 were extracted from the Medical Information Mart for Intensive Care (MIMIC)-IV database (V.1.0). PARTICIPANTS Data from 1519 patients with persistent S-AKI were extracted from the MIMIC-IV database. PRIMARY OUTCOME All-cause in-hospital death from persistent S-AKI. RESULTS Multiple logistic regression revealed that gender (OR 0.63, 95% CI 0.45-0.88), cancer (2.5, 1.69-3.71), respiratory rate (1.06, 1.01-1.12), AKI stage (2.01, 1.24-3.24), blood urea nitrogen (1.01, 1.01-1.02), Glasgow Coma Scale score (0.75, 0.70-0.81), mechanical ventilation (1.57, 1.01-2.46) and continuous renal replacement therapy within 48 hours (9.97, 3.39-33.9) were independent risk factors for mortality from persistent S-AKI. The consistency indices of the prediction and the validation cohorts were 0.780 (95% CI: 0.75-0.82) and 0.80 (95% CI: 0.75-0.85), respectively. The model's calibration plot suggested excellent consistency between the predicted and actual probabilities. CONCLUSIONS This study's prediction model demonstrated good discrimination and calibration abilities to predict in-hospital mortality of elderly patients with persistent S-AKI, although it warrants further external validation to verify its accuracy and applicability.
Collapse
Affiliation(s)
- Wei Jiang
- Medical College, Yangzhou University, Yangzhou, China
- Intensive Care Unit, Northern Jiangsu People's Hospital, Yangzhou, China
| | - Chuanqing Zhang
- Medical College, Yangzhou University, Yangzhou, China
- Intensive Care Unit, Northern Jiangsu People's Hospital, Yangzhou, China
| | - Jiangquan Yu
- Medical College, Yangzhou University, Yangzhou, China
- Intensive Care Unit, Northern Jiangsu People's Hospital, Yangzhou, China
| | - Jun Shao
- Medical College, Yangzhou University, Yangzhou, China
- Intensive Care Unit, Northern Jiangsu People's Hospital, Yangzhou, China
| | - Ruiqiang Zheng
- Medical College, Yangzhou University, Yangzhou, China
- Intensive Care Unit, Northern Jiangsu People's Hospital, Yangzhou, China
| |
Collapse
|
3
|
Ding Z, Fan Y, Yao C, Gu L. The association between the serum uric acid to creatinine ratio and all-cause mortality in elderly hemodialysis patients. BMC Nephrol 2022; 23:177. [PMID: 35524224 PMCID: PMC9077848 DOI: 10.1186/s12882-022-02798-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 04/21/2022] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Elderly hemodialysis patients have a higher rate of mortality than nonelderly hemodialysis patients. Recent studies shown that the serum uric acid to creatinine ratio (SUA/Scr) was associated with all-cause mortality in general adults. The purpose of the present study was to investigate the association between the SUA/Scr and all-cause and cardiovascular disease mortality among elderly hemodialysis patients. METHODS A total of 222 patients (≥ 60 years) who received hemodialysis more than 8 h per week at Taizhou Second People's Hospital for at least 3 months were enrolled in the present study from January 2015 to December 2019. Clinical characteristics including age, sex and height et. al, were obtained from the hemodialysis database. The laboratory data, including albumin (ALB), total cholesterol (TC), serum uric acid (SUA), serum creatinine (Scr) and so on, were collected before hemodialysis and analyzed by automatic biochemical analyzer. Survival information was recorded during the follow-up period. Multiple Cox regression was carried out to analyze the association between SUA/Scr and all-cause mortality. The survival rate of each group was calculated by the Kaplan-Meier method, and the ratio of survival curves was analyzed by the log-rank test. The contribution of SUA/Scr for predicting all-cause mortality risk was evaluated by net reclassification improvement (NRI). RESULTS During the 19-month observation period, 78 patients died. Individuals in the nonsurviving group had significantly older ages (P < 0.001), body mass index (BMI) (P = 0.004), serum creatinine (P = 0.005) and prealbumin (P = 0.006) than surviving patients. After adjusting for age, sex, BMI, prealbumin, dialysis vintage, dialysis frequency, single-pool Kt/V (spKt/V), DM, hypertension and comorbidities, a higher ratio of SUA/Scr was independently associated with a higher risk of all-cause mortality (HR: 1.292; 95% CI: 1.013-1.648; P = 0.039). The predict value on all-cause mortality of SUA/Scr was superior to SUA (additive NRI = 0.214, P = 0.015) and Scr (additive NRI = 0.476, P < 0.001) among elderly hemodialysis patients. CONCLUSION The serum uric acid to creatinine ratio is strongly associated with all-cause mortality in elderly hemodialysis patients which is more predictive than SUA or Scr alone.
Collapse
Affiliation(s)
- Zhihui Ding
- Department of Nephrology, Taizhou Second People's Hospital, Taizhou, China
| | - Yao Fan
- Division of Clinical Epidemiology, Affiliated Geriatric Hospital of Nanjing Medical University, Nanjing, China
| | - Chunlei Yao
- Department of Nephrology, Taizhou Second People's Hospital, Taizhou, China.
| | - Liubao Gu
- Division of Clinical Epidemiology, Affiliated Geriatric Hospital of Nanjing Medical University, Nanjing, China.
| |
Collapse
|