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Pan Y, Ming K, Guo D, Liu X, Deng C, Chi Q, Liu X, Wang C, Xu K. Non-targeted metabolomics and explainable artificial intelligence: Effects of processing and color on coniferyl aldehyde levels in Eucommiae cortex. Food Chem 2024; 460:140564. [PMID: 39089015 DOI: 10.1016/j.foodchem.2024.140564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/15/2024] [Accepted: 07/20/2024] [Indexed: 08/03/2024]
Abstract
Eucommia ulmoides, a plant native to China, is valued for its medicinal properties and has applications in food, health products, and traditional Chinese medicine. Processed Eucommiae Cortex (EC) has historically been a highly valued medicine. Ancient doctors had ample experience processing EC, especially with ginger juice, as documented in traditional Chinese medical texts. The combination of EC and ginger juice helps release and transform the active ingredients, strengthening the medicine's effectiveness and improving its taste and shelf life. However, the lack of quality control standards for Ginger-Eucommiae Cortex (G-EC), processed from EC and ginger, presents challenges for its industrial and clinical use. This study optimized G-EC processing using the CRITIC and Box-Behnken methods. Metabolomics showed 517 chemical changes between raw and processed G-EC, particularly an increase in coniferyl aldehyde (CFA). Explainable artificial intelligence techniques revealed the feasibility of using color to CFA content, providing insights into quality indicators.
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Affiliation(s)
- Yijing Pan
- Hubei Provincial Engineering Technology Research Center for Chinese Medicine Processing, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; Hubei Shizhen Laboratory, Wuhan 430065, China
| | - Kehong Ming
- Hubei Provincial Engineering Technology Research Center for Chinese Medicine Processing, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; Hubei Shizhen Laboratory, Wuhan 430065, China
| | - Dongmei Guo
- Hubei Provincial Engineering Technology Research Center for Chinese Medicine Processing, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; Hubei Shizhen Laboratory, Wuhan 430065, China
| | - Xinyue Liu
- Hubei Provincial Engineering Technology Research Center for Chinese Medicine Processing, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; Hubei Shizhen Laboratory, Wuhan 430065, China
| | - Chenxi Deng
- Hubei Provincial Engineering Technology Research Center for Chinese Medicine Processing, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; Hubei Shizhen Laboratory, Wuhan 430065, China
| | - Qingjia Chi
- Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics, Department of Mechanics and Engineering Structure, Wuhan University of Technology, China.
| | - Xianqiong Liu
- Hubei Provincial Engineering Technology Research Center for Chinese Medicine Processing, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; Hubei Shizhen Laboratory, Wuhan 430065, China.
| | - Chunli Wang
- Hubei Shizhen Laboratory, Wuhan 430065, China; School of Laboratory Medicine, Hubei University of Chinese Medicine, Wuhan 430065, China.
| | - Kang Xu
- Hubei Provincial Engineering Technology Research Center for Chinese Medicine Processing, School of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; Hubei Shizhen Laboratory, Wuhan 430065, China; Center of Traditional Chinese Medicine Modernization for Liver Diseases, Hubei University of Chinese Medicine, Wuhan 430065, China.
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He H, Luo H, Xu H, Qian B, Zou X, Zhang G, Zeng F, Zou J. Preclinical models and evaluation criteria of prostatitis. Front Immunol 2023; 14:1183895. [PMID: 37228599 PMCID: PMC10203503 DOI: 10.3389/fimmu.2023.1183895] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 04/24/2023] [Indexed: 05/27/2023] Open
Abstract
Prostatitis is a common urological condition that affects almost half of all men at some point in their life. The prostate gland has a dense nerve supply that contributes to the production of fluid to nourish sperm and the mechanism to switch between urination and ejaculation. Prostatitis can cause frequent urination, pelvic pain, and even infertility. Long-term prostatitis increases the risk of prostate cancer and benign prostate hyperplasia. Chronic non-bacterial prostatitis presents a complex pathogenesis, which has challenged medical research. Experimental studies of prostatitis require appropriate preclinical models. This review aimed to summarize and compare preclinical models of prostatitis based on their methods, success rate, evaluation, and range of application. The objective of this study is to provide a comprehensive understanding of prostatitis and advance basic research.
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Affiliation(s)
- Hailan He
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
| | - Hui Luo
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
| | - Hui Xu
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Institute of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, Jiangxi Engineering Technology Research Center of Calculi Prevention, Ganzhou, Jiangxi, China
| | - Biao Qian
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Institute of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, Jiangxi Engineering Technology Research Center of Calculi Prevention, Ganzhou, Jiangxi, China
| | - Xiaofeng Zou
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Institute of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, Jiangxi Engineering Technology Research Center of Calculi Prevention, Ganzhou, Jiangxi, China
| | - Guoxi Zhang
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Institute of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, Jiangxi Engineering Technology Research Center of Calculi Prevention, Ganzhou, Jiangxi, China
| | - Fei Zeng
- The First Clinical College, Gannan Medical University, Ganzhou, Jiangxi, China
| | - Junrong Zou
- Department of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Institute of Urology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
- Department of Urology, Jiangxi Engineering Technology Research Center of Calculi Prevention, Ganzhou, Jiangxi, China
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The Age-Accompanied and Diet-Associated Remodeling of the Phospholipid, Amino Acid, and SCFA Metabolism of Healthy Centenarians from a Chinese Longevous Region: A Window into Exceptional Longevity. Nutrients 2022; 14:nu14204420. [PMID: 36297104 PMCID: PMC9612356 DOI: 10.3390/nu14204420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 09/29/2022] [Accepted: 10/13/2022] [Indexed: 11/05/2022] Open
Abstract
As centenarians provide a paradigm of healthy aging, investigating the comprehensive metabolic profiles of healthy centenarians is of utmost importance for the pursuit of health and longevity. However, relevant reports, especially studies considering the dietary influence on metabolism, are still limited, mostly lacking the guidance of a model of healthy aging. Therefore, exploring the signatures of the integrative metabolic profiles of the healthy centenarians from a famous longevous region, Bama County, China, should be an effective way. The global metabolome in urine and the short-chain fatty acids (SCFAs) in the feces of 30 healthy centenarians and 31 elderly people aged 60−70 from the longevous region were analyzed by non-targeted metabolomics combined with metabolic target analysis. The results showed that the characteristic metabolites related to longevity were mostly summarized into phosphatidylserine, lyso-phosphatidylethanolamine, phosphatidylcholine, phosphatidylinositol, bile acids, and amino acids (p < 0.05). Six metabolic pathways were found significant relevant to longevity. Furthermore, acetic acid, propionic acid, butyric acid, valeric acid, and total SCFA were significantly increased in the centenarian group (p < 0.05) and were also positively associated with the dietary fiber intake (p < 0.01). It was age-accompanied and diet-associated remodeling of phospholipid, amino acid, and SCFA metabolism that expressed the unique metabolic signatures related to exceptional longevity. This metabolic remodeling is suggestive of cognitive benefits, better antioxidant capacity, the attenuation of local inflammation, and health-span-promoting processes, which play a critical and positive role in shaping healthy aging.
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