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Zhou Y, Chen Z, Su F, Tao Y, Wang P, Gu J. NMR-based metabolomics approach to study the effect and related molecular mechanisms of Saffron essential oil against depression. J Pharm Biomed Anal 2024; 247:116244. [PMID: 38810330 DOI: 10.1016/j.jpba.2024.116244] [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: 03/19/2024] [Revised: 05/13/2024] [Accepted: 05/19/2024] [Indexed: 05/31/2024]
Abstract
Depression currently ranks as the fourth leading cause of disability globally, affecting approximately 20% of the world's population. we established a chronic restraint stress (CRS) induced depression model in mice and employed fluoxetine as a reference drug. We assessed the therapeutic potential of saffron essential oil (SEO) and elucidated its underlying mechanisms through behavioral indices and NMR-based metabolomic analysis. The findings indicate that SEO ameliorates behavioral symptoms of depression, such as the number of entries into the central area, fecal count, latency to immobility, and duration of immobility in both the Tail Suspension Test (TST) and the Forced Swim Test (FST), along with correcting the dysregulation of 5-serotonin. Metabolomic investigations identified sixteen potential biomarkers across the liver, spleen, and kidneys. SEO notably modulated nine of these biomarkers: dimethylglycine, glycerol, adenosine, β-glucose, α-glucose, uridine, mannose, sarcosine, and aspartate, with glycerol emerging as a common biomarker in both the liver and spleen. Pathway analysis suggests that these biomarkers participate in glycolysis, glycine serine threonine metabolism, and energy metabolism, potentially implicating a role in neural regulation. In summary, SEO effectively mitigates depressive-like behaviors in CRS mice, predominantly via modulation of glycolysis, amino acid metabolism, and energy metabolism, and potentially exerts antidepressant effects through neural regulation. Our study offers insights into small molecule metabolite alterations in CRS mice through a metabolomics lens, providing evidence for the antidepressant potential of plant essential oils and contributing to our understanding of the mechanisms of traditional Chinese medicine in treating depression.
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Affiliation(s)
- Ying Zhou
- College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310006, China; Key Laboratory for Green Pharmaceutical Technologies and Related Equipment of Ministry of Education, Zhejiang University of Technology, Hangzhou 310006, China
| | - Ziwei Chen
- College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310006, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R&D and Digital Intelligent Manufacturing of TCM Great Health Products, Zhejiang University of Technology, Hangzhou 310006, China
| | - Feng Su
- College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310006, China; Key Laboratory for Green Pharmaceutical Technologies and Related Equipment of Ministry of Education, Zhejiang University of Technology, Hangzhou 310006, China
| | - Yi Tao
- College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310006, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R&D and Digital Intelligent Manufacturing of TCM Great Health Products, Zhejiang University of Technology, Hangzhou 310006, China
| | - Ping Wang
- College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310006, China; Zhejiang Provincial Key Laboratory of TCM for Innovative R&D and Digital Intelligent Manufacturing of TCM Great Health Products, Zhejiang University of Technology, Hangzhou 310006, China.
| | - Jinping Gu
- College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310006, China; Key Laboratory for Green Pharmaceutical Technologies and Related Equipment of Ministry of Education, Zhejiang University of Technology, Hangzhou 310006, China.
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Hu C, Chen W, Yang Y, Tao Y. An exploratory metabolomic study reveals the Dipsacus asper-Achyranthes bidentate herb pair against osteoarthritis by modulating imbalance in polyunsaturated fatty acids and energy metabolism. J Pharm Biomed Anal 2024; 245:116196. [PMID: 38723559 DOI: 10.1016/j.jpba.2024.116196] [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: 02/24/2024] [Revised: 04/14/2024] [Accepted: 05/01/2024] [Indexed: 05/23/2024]
Abstract
Osteoarthritis (OA) is a degenerative joint disease primarily affecting the cartilage. The therapeutic potential of the Dipsacus asper-Achyranthes bidentate herb pair for OA has been acknowledged, yet its precise mechanism remains elusive. In this study, we conducted a comprehensive analysis of metabolomic changes and therapeutic outcomes in osteoarthritic rats, employing a gas chromatography-mass spectrometry-based metabolomics approach in conjunction with histopathological and biochemical assessments. The rats were divided into six groups: control, model, positive control, Dipsacus asper treated, Achyranthes bidentata treated, and herb pair treated groups. Compared to the model group, significant reductions in levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-6 (IL-6), and iNOS were observed in the treated groups. Multivariate statistical analyses were employed to investigate metabolite profile changes in serum samples and identify potential biomarkers, revealing 45 differential biomarkers, with eighteen validated using standard substances. These analytes exhibited excellent linearity across a wide concentration range (R2>0.9990), with intra- and inter-day precision RSD values below 4.69% and 4.83%, respectively. Recoveries of the eighteen analytes ranged from 93.97% to 106.59%, with RSD values under 5.72%, underscoring the method's reliability. Treatment with the herbal pair effectively restored levels of unsaturated fatty acids such as linoleic acid and arachidonic acid, along with glucogenic amino acids. Additionally, levels of phosphoric acid and citric acid were reversed, indicating restoration of energy metabolism. Collectively, these findings highlight the utility of metabolomic analysis in evaluating therapeutic efficacy and elucidating the underlying molecular mechanisms of herb pairs in OA treatment.
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Affiliation(s)
- Chengying Hu
- Orthopedics Department, Yongkang First People's Hospital Affiliated to Hangzhou Medical College, Yongkang 321300, China
| | - Wei Chen
- Orthopedics Department, Yongkang First People's Hospital Affiliated to Hangzhou Medical College, Yongkang 321300, China
| | - Ying Yang
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310032, China
| | - Yi Tao
- College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou 310032, China.
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Li N, Xu J, Zhao Y, Zhao M, Liu Z, Wang K, Huang J, Zhu M. The influence of processing methods on polyphenol profiling of tea leaves from the same large-leaf cultivar (Camellia sinensis var. assamica cv. Yunkang-10): nontargeted/targeted polyphenomics and electronic sensory analysis. Food Chem 2024; 460:140515. [PMID: 39067433 DOI: 10.1016/j.foodchem.2024.140515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 07/07/2024] [Accepted: 07/16/2024] [Indexed: 07/30/2024]
Abstract
Tea polyphenols transform under processing methods, but a systematic study on their changes in the same large-leaf tea cultivar is lacking. Here, Camellia sinensis var. assamica cv. Yunkang-10 leaves underwent six processing methods and were assessed using optimized nontargeted (UHPLC-Q-Exactive Orbitrap-MS) and targeted (UHPLC-QqQ-MS) polyphenomics, along with molecular networking analysis. 903 and 52 polyphenolic compounds (catechins, flavones and flavonols, and phenolic acids) were respectively relatively and absolutely quantified for the first time. Dark and black teas, with the lowest polyphenol content, differed from the other four tea types, although variations existed among these four teas. However, some flavonol and flavone aglycones (e.g. kaempferol, apigenin), as well as some phenolic acids (e.g. ellagic acid, gallic acid), exhibited higher levels in dark and black teas. Correlations between polyphenolic composition and electronic sensory characteristics were observed using E-tongue and E-eye. This study enriches understanding of polyphenol profiles in Chinese teas post diverse processing.
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Affiliation(s)
- Na Li
- National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients & Co-Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Key Laboratory of Tea Science of Ministry of Education, Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China
| | - Junren Xu
- National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients & Co-Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Key Laboratory of Tea Science of Ministry of Education, Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China
| | - Yiqiao Zhao
- National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients & Co-Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Key Laboratory of Tea Science of Ministry of Education, Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China
| | | | - Zhonghua Liu
- National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients & Co-Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Key Laboratory of Tea Science of Ministry of Education, Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China
| | - Kunbo Wang
- National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients & Co-Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Key Laboratory of Tea Science of Ministry of Education, Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China.
| | - Jianan Huang
- National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients & Co-Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Key Laboratory of Tea Science of Ministry of Education, Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China.
| | - Mingzhi Zhu
- National Research Center of Engineering and Technology for Utilization of Botanical Functional Ingredients & Co-Innovation Center of Education Ministry for Utilization of Botanical Functional Ingredients, Hunan Agricultural University, Changsha 410128, China; Key Laboratory of Tea Science of Ministry of Education, Key Laboratory for Evaluation and Utilization of Gene Resources of Horticultural Crops, Ministry of Agriculture and Rural Affairs of China, Hunan Agricultural University, Changsha 410128, China.
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Wang F, Pang R, Zhao X, Zhou B, Tian Y, Ma Y, Rong L. Plasma metabolomics and lipidomics reveal potential novel biomarkers in early gastric cancer: An explorative study. Int J Biol Markers 2024:3936155241258780. [PMID: 38859802 DOI: 10.1177/03936155241258780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/12/2024]
Abstract
BACKGROUND Early identification and therapy can significantly improve the outcome for gastric cancer. However, there is still no perfect biomarker available for the detection of early gastric cancer. This study aimed to investigate the alterations in the plasma metabolites of early gastric cancer using metabolomics and lipidomics based on high-performance liquid chromatography-mass spectrometry (HPLC-MS), which detected potential biomarkers that could be used for clinical diagnosis. METHODS To investigate the changes in metabolomics and lipidomics, a total of 30 plasma samples were collected, consisting of 15 patients with early gastric cancer and 15 healthy controls. Extensive HPLC-MS-based untargeted metabolomic and lipidomic investigations were conducted. Differential metabolites and metabolic pathways were uncovered through the utilization of statistical analysis and bioinformatics analysis. Candidate biomarker screening was performed using support vector machine-based multivariate receiver operating characteristic analysis. RESULTS A disturbance was observed in a combined total of 19 metabolites and 67 lipids of the early gastric cancer patients. The analysis of KEGG pathways showed that the early gastric cancer patients experienced disruptions in the arginine biosynthesis pathway, the pathway for alanine, aspartate, and glutamate metabolism, as well as the pathway for glyoxylate and dicarboxylate metabolism. Plasma metabolomics and lipidomics have identified multiple biomarker panels that can effectively differentiate early gastric cancer patients from healthy controls, exhibiting an area under the curve exceeding 0.9. CONCLUSION These metabolites and lipids could potentially serve as biomarkers for the screening of early gastric cancer, thereby optimizing the strategy for the detection of early gastric cancer. The disrupted pathways implicated in early gastric cancer provide new clues for additional understanding of gastric cancer's pathogenesis. Nonetheless, large-scale clinical data are required to prove our findings.
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Affiliation(s)
- Feng Wang
- Department of Endoscopy Center, Peking University First Hospital, Beijing, China
| | - Ruifang Pang
- Institute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China
| | - Xudong Zhao
- Department of Endoscopy Center, Peking University First Hospital, Beijing, China
| | - Bin Zhou
- Department of Endoscopy Center, Peking University First Hospital, Beijing, China
| | - Yuan Tian
- Department of Endoscopy Center, Peking University First Hospital, Beijing, China
| | - Yongchen Ma
- Department of Endoscopy Center, Peking University First Hospital, Beijing, China
| | - Long Rong
- Department of Endoscopy Center, Peking University First Hospital, Beijing, China
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Li H, Xiong Q, Wu H, Zhang Y, Zhuang K, Zhao Y, Zhang H, Yi L. Mass filtering combined with photochemical derivatization enables high throughput mass spectrometric analysis of unsaturated phosphatidylcholine isomers. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:371-377. [PMID: 37965845 DOI: 10.1039/d3ay01829f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2023]
Abstract
Phosphatidylcholines (PCs) are closely related to coronary heart disease, such as myocardial infarction. The analysis of the deep structure of PCs is of great significance for exploring the effects of exercise rehabilitation and lipid metabolism. Here, we present a mass filtering combined with photochemical derivatization method for rapid screening and accurate identification of the CC position and sn-location isomer of PCs. This method is simple to execute and easily implementable for routine analysis. The accurate qualitative and quantitative analysis of PCs and isomers facilitates the discovery of biomarkers for exercise rehabilitation of patients with myocardial infarction.
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Affiliation(s)
- Huimin Li
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, 650500, China.
| | - Qian Xiong
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, 650500, China.
| | - Hao Wu
- Faculty of Chemical Engineering, Kunming University of Science and Technology, Kunming, 650500, China
- Department of Cardiology, First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650000, China.
| | - Yunmei Zhang
- Department of Cardiology, First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650000, China.
| | - Ke Zhuang
- Department of Cardiology, First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650000, China.
| | - Yan Zhao
- Department of Cardiology, First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650000, China.
- College of Medicine, Kunming University of Science and Technology, Kunming, 650500, China
| | - Hong Zhang
- Department of Cardiology, First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, 650000, China.
- College of Medicine, Kunming University of Science and Technology, Kunming, 650500, China
| | - Lunzhao Yi
- Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming, 650500, China.
- Faculty of Chemical Engineering, Kunming University of Science and Technology, Kunming, 650500, China
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