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Day F, O'Sullivan J, Ramzan F, Pook C. Polar metabolomics using trichloroacetic acid extraction and porous graphitic carbon stationary phase. Metabolomics 2024; 20:77. [PMID: 39014104 PMCID: PMC11252196 DOI: 10.1007/s11306-024-02146-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 06/24/2024] [Indexed: 07/18/2024]
Abstract
INTRODUCTION Accurately identifying and quantifying polar metabolites using untargeted metabolomics has proven challenging in comparison to mid to non-polar metabolites. Hydrophilic interaction chromatography and gas chromatography-mass spectrometry are predominantly used to target polar metabolites. OBJECTIVES This study aims to demonstrate a simple one-step extraction combined with liquid chromatography-mass spectrometry (LC-MS) that reliably retains polar metabolites. METHODS The method involves a MilliQ + 10% trichloroacetic acid extraction from 6 healthy individuals serum, combined with porous graphitic carbon liquid chromatography-mass spectrometry (LC-MS). The coefficient of variation (CV) assessed retention reliability of polar metabolites with logP as low as - 9. QreSS (Quantification, Retention, and System Suitability) internal standards determined the method's consistency and recovery efficiency. RESULTS The method demonstrated reliable retention (CV < 0.30) of polar metabolites within a logP range of - 9.1 to 5.6. QreSS internal standards confirmed consistent performance (CV < 0.16) and effective recovery (70-130%) of polar to mid-polar metabolites. Quality control dilution series demonstrated that ~ 80% of annotated metabolites could be accurately quantified (Pearson's correlation coefficient > 0.80) within their concentration range. Repeatability was demonstrated through clustering of repeated extractions from a single sample. CONCLUSION This LC-MS method is better suited to covering the polar segment of the metabolome than current methods, offering a reliable and efficient approach for accurate quantification of polar metabolites in untargeted metabolomics.
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Affiliation(s)
- Francesca Day
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Justin O'Sullivan
- Liggins Institute, The University of Auckland, Auckland, New Zealand
- The Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Australian Parkinson's Mission, Garvan Institute of Medical Research, 384 Victoria Street, Sydney, Darlinghurst, NSW, 2010, Australia
- A*STAR Singapore Institute for Clinical Sciences, Singapore, Singapore
| | - Farha Ramzan
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Chris Pook
- Liggins Institute, The University of Auckland, Auckland, New Zealand.
- School of Chemical Sciences, University of Auckland, 23 Symonds St., Auckland, 1010, New Zealand.
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López-López Á, López-Gonzálvez Á, Barbas C. Metabolomics for searching validated biomarkers in cancer studies: a decade in review. Expert Rev Mol Diagn 2024; 24:601-626. [PMID: 38904089 DOI: 10.1080/14737159.2024.2368603] [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: 12/27/2023] [Accepted: 06/12/2024] [Indexed: 06/22/2024]
Abstract
INTRODUCTION In the dynamic landscape of modern healthcare, the ability to anticipate and diagnose diseases, particularly in cases where early treatment significantly impacts outcomes, is paramount. Cancer, a complex and heterogeneous disease, underscores the critical importance of early diagnosis for patient survival. The integration of metabolomics information has emerged as a crucial tool, complementing the genotype-phenotype landscape and providing insights into active metabolic mechanisms and disease-induced dysregulated pathways. AREAS COVERED This review explores a decade of developments in the search for biomarkers validated within the realm of cancer studies. By critically assessing a diverse array of research articles, clinical trials, and studies, this review aims to present an overview of the methodologies employed and the progress achieved in identifying and validating biomarkers in metabolomics results for various cancer types. EXPERT OPINION Through an exploration of more than 800 studies, this review has allowed to establish a general idea about state-of-art in the search of biomarkers in metabolomics studies involving cancer which include certain level of results validation. The potential for metabolites as diagnostic markers to reach the clinic and make a real difference in patient health is substantial, but challenges remain to be explored.
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Affiliation(s)
- Ángeles López-López
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Madrid, Spain
| | - Ángeles López-Gonzálvez
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Madrid, Spain
| | - Coral Barbas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Facultad de Farmacia, Universidad San Pablo-CEU, CEU Universities, Boadilla del Monte, Madrid, Spain
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Li W, Zhou Q, Lv B, Li N, Bian X, Chen L, Kong M, Shen Y, Zheng W, Zhang J, Luo F, Luo Z, Liu J, Wu JL. Ganoderma lucidum Polysaccharide Supplementation Significantly Activates T-Cell-Mediated Antitumor Immunity and Enhances Anti-PD-1 Immunotherapy Efficacy in Colorectal Cancer. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:12072-12082. [PMID: 38750669 DOI: 10.1021/acs.jafc.3c08385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
Ganoderma lucidum polysaccharide (GLP) is a prebiotic with immunomodulatory effects. However, the therapeutic potential of GLP in tumor immunotherapy has not been fully explored, especially in T cell-mediated antitumor immunity. In this study, we found that GLP significantly inhibited tumor growth and activated antitumor immunity in colorectal cancer (CRC). In the spleens and tumor tissues, the proportion of cytotoxic CD8+T cells and Th1 helper cells increased, while immunosuppressive Tregs decreased. Additionally, microbiota dysbiosis was alleviated by GLP, and short-chain fatty acid production was increased. Meanwhile, GLP decreased the ratio of kynurenine and tryptophan (Kyn/Trp) in the serum, which contributed to antitumor immunity of T cells. More importantly, the combination of GLP and the immune checkpoint inhibitor anti-PD-1 monoclonal antibody further enhanced the efficacy of anti-PD-1 immunotherapy. Thus, GLP as a prebiotic has the potential to be used in tumor immunotherapy.
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Affiliation(s)
- Wenshuai Li
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao 999078, China
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Qi Zhou
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Bin Lv
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Na Li
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao 999078, China
| | - Xiqing Bian
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao 999078, China
| | - Lirong Chen
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Mingjia Kong
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Yuru Shen
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Wanwei Zheng
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Jun Zhang
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Feifei Luo
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Zhongguang Luo
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Jie Liu
- Department of Digestive Diseases, Huashan Hospital, Fudan University, Shanghai 200040, China
- Department of Digestive Diseases, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China
| | - Jian-Lin Wu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao 999078, China
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Tang J, Li S, Zhou Z, Chang W, Wang Y, Mei J, Zhou S. Identification and validation of key miRNAs and a microRNA-mRNA regulatory network associated with liver cancer. Cell Cycle 2024; 23:353-368. [PMID: 38547309 PMCID: PMC11174128 DOI: 10.1080/15384101.2024.2335024] [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: 01/16/2024] [Accepted: 03/11/2024] [Indexed: 06/15/2024] Open
Abstract
MiRNAs play crucial regulatory roles in the growth and development of tumor cells by serving as carriers of post-transcriptional regulatory information derived from genes. Investigating the potential function and clinical significance of miRNA-mediated mRNA regulatory networks in liver cancer can offer novel insights and therapeutic strategies for the treatment of this disease. We identified 300 differentially expressed miRNAs, and five miRNAs were identified to be correlated with overall survival and could be used as an independent prognostic. GO enrichment analysis mainly included carboxylic acid biosynthesis, organic acid biosynthesis, peroxisomal membrane, microsomal membrane, DNA binding, C-acyltransferase activity, etc. KEGG enrichment analysis showed that the pathways of target genes related to liver cancer were mainly focused on butyric acid metabolism and partial amino acid metabolism. Eight of the top 10 HUB genes were associated with prognosis, and the expression of four genes was positively correlated with prognosis, of which ABAT, BHMT, and SHMT1 were target genes of hsa-miR-5003-3p. MiR-5003-3p inhibits ABAT/BHMT/SHMT1 expression, thereby promoting liver cancer development. Overall, our study provides new ideas for the treatment of liver cancer, and these five miRNAs may be independent prognostic biomarkers and therapeutic targets for liver cancer patients. And miR-5003-3p may be a critical factor in the mechanism of liver cancer development.
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Affiliation(s)
- Jie Tang
- General Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
- Anhui Key Laboratory of Tissue Transplantation, Bengbu Medical College, Bengbu, China
| | - Song Li
- Department of Hepatobiliary pancreatic gastrointestinal Surgery, JinHua People’s Hospital, JinHua, China
| | - Zixiao Zhou
- Xiangya Medical College, Central South University, Changsha, China
| | - Weicai Chang
- Anhui Key Laboratory of Tissue Transplantation, Bengbu Medical College, Bengbu, China
| | - Yongqiang Wang
- General Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Juan Mei
- Pathology Department, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Shaobo Zhou
- General Surgery, The Second Affiliated Hospital of Bengbu Medical College, Bengbu, China
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Han Y, Zeng X, Hua L, Quan X, Chen Y, Zhou M, Chuang Y, Li Y, Wang S, Shen X, Wei L, Yuan Z, Zhao Y. The fusion of multi-omics profile and multimodal EEG data contributes to the personalized diagnostic strategy for neurocognitive disorders. MICROBIOME 2024; 12:12. [PMID: 38243335 PMCID: PMC10797890 DOI: 10.1186/s40168-023-01717-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 11/07/2023] [Indexed: 01/21/2024]
Abstract
BACKGROUND The increasing prevalence of neurocognitive disorders (NCDs) in the aging population worldwide has become a significant concern due to subjectivity of evaluations and the lack of precise diagnostic methods and specific indicators. Developing personalized diagnostic strategies for NCDs has therefore become a priority. RESULTS Multimodal electroencephalography (EEG) data of a matched cohort of normal aging (NA) and NCDs seniors were recorded, and their faecal samples and urine exosomes were collected to identify multi-omics signatures and metabolic pathways in NCDs by integrating metagenomics, proteomics, and metabolomics analysis. Additionally, experimental verification of multi-omics signatures was carried out in aged mice using faecal microbiota transplantation (FMT). We found that NCDs seniors had low EEG power spectral density and identified specific microbiota, including Ruminococcus gnavus, Enterocloster bolteae, Lachnoclostridium sp. YL 32, and metabolites, including L-tryptophan, L-glutamic acid, gamma-aminobutyric acid (GABA), and fatty acid esters of hydroxy fatty acids (FAHFAs), as well as disturbed biosynthesis of aromatic amino acids and TCA cycle dysfunction, validated in aged mice. Finally, we employed a support vector machine (SVM) algorithm to construct a machine learning model to classify NA and NCDs groups based on the fusion of EEG data and multi-omics profiles and the model demonstrated 92.69% accuracy in classifying NA and NCDs groups. CONCLUSIONS Our study highlights the potential of multi-omics profiling and EEG data fusion in personalized diagnosis of NCDs, with the potential to improve diagnostic precision and provide insights into the underlying mechanisms of NCDs. Video Abstract.
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Affiliation(s)
- Yan Han
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, 999078, Macau SAR, China
| | - Xinglin Zeng
- Centre for Cognitive and Brain Sciences, University of Macau, Avenida da Universidade, Taipa, 999078, Macau SAR, China
| | - Lin Hua
- Centre for Cognitive and Brain Sciences, University of Macau, Avenida da Universidade, Taipa, 999078, Macau SAR, China
| | - Xingping Quan
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, 999078, Macau SAR, China
| | - Ying Chen
- School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, 210023, Jiangsu, China
| | - Manfei Zhou
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, 999078, Macau SAR, China
| | | | - Yang Li
- Department of Gastrointestinal Surgery, Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, 518020, China
| | - Shengpeng Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, 999078, Macau SAR, China
| | - Xu Shen
- Jiangsu Key Laboratory of Drug Target and Drug for Degenerative Diseases, Nanjing University of Chinese Medicine, Nanjing, 210023, China
| | - Lai Wei
- School of Pharmaceutical Science, Southern Medical University, Guangzhou, 510515, China
| | - Zhen Yuan
- Centre for Cognitive and Brain Sciences, University of Macau, Avenida da Universidade, Taipa, 999078, Macau SAR, China.
| | - Yonghua Zhao
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Avenida da Universidade, Taipa, 999078, Macau SAR, China.
- Department of Pharmaceutical Sciences, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR 999078, 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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Liu T, Liu C, Song M, Wei Y, Song Y, Chen P, Liu L, Wang B, Shi H. The association of serum serine levels with the risk of incident cancer: results from a nested case-control study. Food Funct 2023; 14:7969-7976. [PMID: 37578153 DOI: 10.1039/d3fo00808h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Background: Cancer is associated with the dysregulation of serum serine levels, and tumor growth is supported by increased serine biosynthesis. This study aims to explore the association of serum serine levels with incident cancer risk in Chinese hypertensive adults. Materials and methods: 1391 patients with incident cancer and 1391 matched controls in terms of age, sex, and residence with cases in a 1 : 1 ratio were included in this nested case-control study. The serum serine concentrations were determined by liquid chromatography with tandem quadrupole mass spectrometry (LC-MS/MS) at the baseline. The associations of serum serine levels with the risk of overall, digestive system, non-digestive system, and lung cancers (the most common type) were assessed by conditional logistic regression. Results: When serum serine concentration was assessed as quartiles, a significantly higher risk of total cancer (OR = 1.32; 95% CI: 1.01-1.71; P = 0.038) was found in participants in the highest quartile (≥17.68 μg mL-1) compared with participants in the lowest quartile (<13.27 μg mL-1). Similar results were also observed for non-digestive system and lung cancers, but not for digestive system cancers. Significant associations of serum with overall cancer risk were found among all age subgroups, men, non-smokers, non-drinkers, and individuals with lower folic acid levels. Conclusion: High serum serine concentrations were associated with an increased risk of overall, non-digestive system, and lung cancers among Chinese hypertensive adult patients.
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Affiliation(s)
- Tong Liu
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Chenan Liu
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Mengmeng Song
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
| | - Yaping Wei
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Yun Song
- Shenzhen Evergreen Medical Institute, Shenzhen, China.
| | - Ping Chen
- Shenzhen Evergreen Medical Institute, Shenzhen, China.
| | - Lishun Liu
- Shenzhen Evergreen Medical Institute, Shenzhen, China.
| | - Binyan Wang
- Shenzhen Evergreen Medical Institute, Shenzhen, China.
- Institute for Biomedicine, Anhui Medical University, Hefei, China
| | - Hanping Shi
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.
- Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
- Key Laboratory of Cancer FSMP for State Market Regulation, Beijing, 100038, China
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Yang Q, Zhao Y, Li N, Wu JL, Huang X, Zhang M, Bian X, Zhu YZ. Identification of polyunsaturated fatty acids as potential biomarkers of osteoarthritis after sodium hyaluronate and mesenchymal stem cell treatment through metabolomics. Front Pharmacol 2023; 14:1224239. [PMID: 37649888 PMCID: PMC10462907 DOI: 10.3389/fphar.2023.1224239] [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: 05/17/2023] [Accepted: 08/02/2023] [Indexed: 09/01/2023] Open
Abstract
Introduction: Osteoarthritis (OA) is a prevalent joint disorder worldwide. Sodium hyaluronate (SH) and mesenchymal stem cells (MSCs) are promising therapeutic strategies for OA. Previous studies showed they could improve knee function and clinical symptoms of OA. However, the mechanism of the therapeutic effects on the improvement of OA has not been clearly explained. Methods: In our study, we used a technique called 5-(diisopropylamino)amylamine derivatization liquid chromatography coupled with mass spectrometry to find the metabolites in OA synovial fluid under different treatments. Results and Discussion: After looking into the metabolomics, we discovered that SH and MSC treatment led to the downregulation of ω-6 polyunsaturated fatty acids (PUFAs) and the upregulation of ω-3 PUFAs. Significantly, the contents of 5(S)-HETE, PGA2, PGB2, and PGJ2 were lower in the MSC group than in the SH group after quantification using 5-(diisopropylamino)amylamine derivatization-UHPLC-QQQ-MS. This is the first report on the relationship of 11(S)-HETE, PGA2, PGB2, PGF2β, 11β-PGF2α, and DK-PGE2 with OA. Moreover, the correlation analysis of metabolites and inflammation factors showed the positive association of ω-6 PUFAs with pro-inflammation cytokines, and of ω-3 PUFAs with anti-inflammation cytokines. Our results indicated the therapeutic effect of SH and MSCs in patients with OA. In addition, this reliable metabolic approach could uncover novel biomarkers to treat OA.
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Affiliation(s)
- Qinyan Yang
- School of Pharmacy, Macau University of Science and Technology, Taipa, Macao SAR, China
- State Key Laboratory for Quality Research of Chinese Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China
- Liver Transplant Center and HBP Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yiran Zhao
- State Key Laboratory for Quality Research of Chinese Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China
| | - Na Li
- State Key Laboratory for Quality Research of Chinese Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China
| | - Jian-Lin Wu
- State Key Laboratory for Quality Research of Chinese Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China
| | - Xiaolun Huang
- School of Pharmacy, Macau University of Science and Technology, Taipa, Macao SAR, China
- State Key Laboratory for Quality Research of Chinese Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China
- Liver Transplant Center and HBP Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Mei Zhang
- School of Pharmacy, Macau University of Science and Technology, Taipa, Macao SAR, China
- State Key Laboratory for Quality Research of Chinese Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China
| | - Xiqing Bian
- School of Pharmacy, Macau University of Science and Technology, Taipa, Macao SAR, China
- State Key Laboratory for Quality Research of Chinese Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China
| | - Yi-Zhun Zhu
- School of Pharmacy, Macau University of Science and Technology, Taipa, Macao SAR, China
- State Key Laboratory for Quality Research of Chinese Medicine, Macau University of Science and Technology, Taipa, Macao SAR, China
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Gao Y, Fu Y, Li N, Jiang Y, Liu X, Gao C, Wang L, Wu JL, Zhou T. Carboxyl-containing components delineation via feature-based molecular networking: A key to processing conditions of fermented soybean. Food Chem 2023; 423:136321. [PMID: 37182495 DOI: 10.1016/j.foodchem.2023.136321] [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: 01/06/2023] [Revised: 05/03/2023] [Accepted: 05/04/2023] [Indexed: 05/16/2023]
Abstract
Carboxyl-containing components (CCCs) was the key chemical markers for fermented soybean, whose composition and content would be dramatically changed during the fermentation processes. To select the optimal fermented conditions, a rapid and sensitive 5-(diisopropylamino)amylamine derivatization, ultra-high performance liquid chromatography-quadrupole-time-of-flight/mass spectrometry and feature-based molecular networking method was established for determination CCCs and the developed method was successfully applied to compare the dynamic changes of CCCs under different processing conditions. A total of 120 components were identified, the optimum fermentation conditions were the temperature at 30 °C, 50% humidity, with a 2-hour steaming time. Sixteen chemical markers with significant differences were screened. Furthermore, molecular docking technology was used to verify the antiperoxidative effect of these chemical markers. Accordingly, we focused on the high-content, little-studied active CCCs rather than the low-content and well-studied flavonoids. This study was helpful for the nutraceutical development and contributed scientific basis to further exploring quality evaluation of fermented food.
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Affiliation(s)
- Yuye Gao
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macao; Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Naval Medical University, Shanghai, 200433, China
| | - Yu Fu
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macao
| | - Na Li
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macao
| | - Yuetong Jiang
- Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Naval Medical University, Shanghai, 200433, China
| | - Xiaojing Liu
- Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Naval Medical University, Shanghai, 200433, China
| | - Congcong Gao
- Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Naval Medical University, Shanghai, 200433, China
| | - Lishuang Wang
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macao
| | - Jian-Lin Wu
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macao.
| | - Tingting Zhou
- Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Naval Medical University, Shanghai, 200433, China.
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10
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van Liere ELSA, van Dijk LJ, Bosch S, Vermeulen L, Heymans MW, Burchell GL, de Meij TGJ, Ramsoekh D, de Boer NKH. Urinary volatile organic compounds for colorectal cancer screening, a systematic review and meta-analysis. Eur J Cancer 2023; 186:69-82. [PMID: 37030079 DOI: 10.1016/j.ejca.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 03/02/2023] [Accepted: 03/03/2023] [Indexed: 03/08/2023]
Abstract
BACKGROUND The faecal immunochemical test (FIT) suffers from suboptimal performance and participation in colorectal cancer (CRC) screening. Urinary volatile organic compounds (VOCs) may be a useful alternative. We aimed to determine the diagnostic potential of urinary VOCs for CRC/adenomas. By relating VOCs to known pathways, we aimed to gain insight into the pathophysiology of colorectal neoplasia. METHODS A systematic search was performed in PubMed, EMBASE and Web of Science. Original studies on urinary VOCs for CRC/adenoma detection with a control group were included. QUADAS-2 tool was used for quality assessment. Meta-analysis was performed by adopting a bivariate model for sensitivity/specificity. Fagan's nomogram estimated the performance of combined FIT-VOC. Neoplasm-associated VOCs were linked to pathways using the KEGG database. RESULTS Sixteen studies-involving 837 CRC patients and 1618 controls-were included; 11 performed chemical identification and 7 chemical fingerprinting. In all studies, urinary VOCs discriminated CRC from controls. Pooled sensitivity and specificity for CRC based on chemical fingerprinting were 84% (95% CI 73-91%) and 70% (95% CI 63-77%), respectively. The most distinctive individual VOC was butanal (AUC 0.98). The estimated probability of having CRC following negative FIT was 0.38%, whereas 0.09% following negative FIT-VOC. Combined FIT-VOC would detect 33% more CRCs. In total 100 CRC-associated urinary VOCs were identified; particularly hydrocarbons, carboxylic acids, aldehydes/ketones and amino acids, and predominantly involved in TCA-cycle or alanine/aspartate/glutamine/glutamate/phenylalanine/tyrosine/tryptophan metabolism, which is supported by previous research on (colorectal)cancer biology. The potential of urinary VOCs to detect precancerous adenomas or gain insight into their pathophysiology appeared understudied. CONCLUSION Urinary VOCs hold potential for non-invasive CRC screening. Multicentre validation studies are needed, especially focusing on adenoma detection. Urinary VOCs elucidate underlying pathophysiologic processes.
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Affiliation(s)
- Elsa L S A van Liere
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Vrije Universiteit, School of Medicine, Amsterdam, the Netherlands.
| | - Laura J van Dijk
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Vrije Universiteit, School of Medicine, Amsterdam, the Netherlands
| | - Sofie Bosch
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands
| | - Louis Vermeulen
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Amsterdam UMC location University of Amsterdam, Laboratory for Experimental Oncology and Radiobiology, Centre for Experimental and Molecular Medicine, Amsterdam, the Netherlands; Cancer Centre Amsterdam, Amsterdam, the Netherlands; Oncode Institute, Amsterdam, the Netherlands
| | - Martijn W Heymans
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Epidemiology and Data Science, Amsterdam, the Netherlands
| | - George L Burchell
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Tim G J de Meij
- Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Paediatric Gastroenterology, Amsterdam, the Netherlands
| | - Dewkoemar Ramsoekh
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Vrije Universiteit, School of Medicine, Amsterdam, the Netherlands
| | - Nanne K H de Boer
- Amsterdam University Medical Centres, Department of Gastroenterology and Hepatology, Amsterdam, the Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism (AGEM) Research Institute, Amsterdam, the Netherlands; Vrije Universiteit, School of Medicine, Amsterdam, the Netherlands
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11
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Bian X, Zhou N, Zhao Y, Fang Y, Li N, Zhang X, Wang X, Li Y, Wu JL, Zhou T. Identification of proline, 1-pyrroline-5-carboxylate and glutamic acid as biomarkers of depression reflecting brain metabolism using carboxylomics, a new metabolomics method. Psychiatry Clin Neurosci 2022; 77:196-204. [PMID: 36468242 DOI: 10.1111/pcn.13517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022]
Abstract
AIM Depression is a psychiatric disease which is accompanied by metabolic disorder. Though depression has been widely studied, its metabolism is yet to be illustrated. We aimed to manifest the underlying mechanisms to diagnose depression. METHODS One hundred thirty serum samples, including 65 patients and 65 healthy controls from different hospitals (training and validation cohorts), were recruited into the research. Sensitive Profiling for ChemoSelective Derivatization Carboxylomics (SPCSDCarboxyl) was applied to deeply hunt for the differential metabolites. Then, the serum, CSF, and hippocampus from depression rat models (CUMS group) were used to further confirm the results. Additionally, the co-occurrence between enzymes and biomarkers, as well as the combinatorial marker panel and the correlation of biomarkers among serum, CSF, or hippocampus were elucidated. RESULTS Two hundred eight metabolites were identified from the sera of patients. Proline, 1-pyrroline-5-carboxylate (P5C), and glutamic acid could discriminate patients from healthy humans and were confirmed to be the potential biomarkers. After further validation through CUMS rats, proline, and P5C were enriched, while glutamic acid was depleted in the CUMS group. The co-occurrence analysis of enzymes and biomarkers indicated that they could be used for the diagnosis of depression. Moreover, the combinatorial marker panel and the correlation analysis of biomarkers between serum and CSF or between serum and hippocampus revealed that serum could be an alternative approach to directly reflect the potential physiological mechanisms and diagnose depression instead of brain samples. CONCLUSION These integrated methods may facilitate the identification of biomarkers and help manifest the underlying mechanisms of depression.
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Affiliation(s)
- Xiqing Bian
- State Key Laboratory for Quality Research of Chinese Medicine, School of Pharmacy, Macau University of Science and Technology, Macao, China
| | - Na Zhou
- State Key Laboratory for Quality Research of Chinese Medicine, School of Pharmacy, Macau University of Science and Technology, Macao, China
| | - Yiran Zhao
- State Key Laboratory for Quality Research of Chinese Medicine, School of Pharmacy, Macau University of Science and Technology, Macao, China
| | - Yichao Fang
- Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Second Military Medical University, Shanghai, China
| | - Na Li
- State Key Laboratory for Quality Research of Chinese Medicine, School of Pharmacy, Macau University of Science and Technology, Macao, China
| | - Xin Zhang
- State Key Laboratory for Quality Research of Chinese Medicine, School of Pharmacy, Macau University of Science and Technology, Macao, China
| | - Xuan Wang
- State Key Laboratory for Quality Research of Chinese Medicine, School of Pharmacy, Macau University of Science and Technology, Macao, China
| | - Yunxia Li
- Department of Neurology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jian-Lin Wu
- State Key Laboratory for Quality Research of Chinese Medicine, School of Pharmacy, Macau University of Science and Technology, Macao, China
| | - Tingting Zhou
- Shanghai Key Laboratory for Pharmaceutical Metabolite Research, School of Pharmacy, Second Military Medical University, Shanghai, China
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12
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Zhang L, Li N, Chen S, Bian X, Farag MA, Ge Y, Xiao J, Wu JL. Carboxyl-containing compounds in food: Category, functions, and analysis with chemical derivatization-based LC-MS. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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13
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Lin P, W-M Fan T, Lane AN. NMR-based isotope editing, chemoselection and isotopomer distribution analysis in stable isotope resolved metabolomics. Methods 2022; 206:8-17. [PMID: 35908585 PMCID: PMC9539636 DOI: 10.1016/j.ymeth.2022.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/18/2022] [Accepted: 07/25/2022] [Indexed: 11/20/2022] Open
Abstract
NMR is a very powerful tool for identifying and quantifying compounds within complex mixtures without the need for individual standards or chromatographic separation. Stable Isotope Resolved Metabolomics (or SIRM) is an approach to following the fate of individual atoms from precursors through metabolic transformation, producing an atom-resolved metabolic fate map. However, extracts of cells or tissue give rise to very complex NMR spectra. While multidimensional NMR experiments may partially overcome the spectral overlap problem, additional tools may be needed to determine site-specific isotopomer distributions. NMR is especially powerful by virtue of its isotope editing capabilities using NMR active nuclei such as 13C, 15N, 19F and 31P to select molecules containing just these atoms in a complex mixture, and provide direct information about which atoms are present in identified compounds and their relative abundances. The isotope-editing capability of NMR can also be employed to select for those compounds that have been selectively derivatized with an NMR-active stable isotope at particular functional groups, leading to considerable spectral simplification. Here we review isotope analysis by NMR, and methods of chemoselection both for spectral simplification, and for enhanced isotopomer analysis.
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Affiliation(s)
- Penghui Lin
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY 40536, USA
| | - Teresa W-M Fan
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY 40536, USA; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40536, USA
| | - Andrew N Lane
- Center for Environmental and Systems Biochemistry, University of Kentucky, Lexington, KY 40536, USA; Department of Toxicology and Cancer Biology, University of Kentucky, Lexington, KY 40536, USA.
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14
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Xie X, Lu X, Zhang X, Zheng F, Yu D, Li C, Zheng S, Chen B, Liu X, Ma M, Xu G. In-depth profiling of carboxyl compounds in Chinese Baijiu based on chemical derivatization and ultrahigh-performance liquid chromatography coupled to high-resolution mass spectrometry. Food Chem X 2022; 15:100440. [PMID: 36211780 PMCID: PMC9532792 DOI: 10.1016/j.fochx.2022.100440] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/29/2022] [Accepted: 09/02/2022] [Indexed: 11/17/2022] Open
Abstract
A systematic strategy for detection and annotation of carboxyl compound was developed. 197 carboxyl compounds were detected in Chinese Baijiu for the first time. Annotation was based on MS1, tR, in-silico MS/MS, and characteristic fragments. Three of carboxyl compounds were newly identified in Chinese Baijiu. Distribution of carboxyl compounds in Baijiu with different flavors was revealed.
Carboxyl compounds have a significant influence on the flavor of Chinese Baijiu. However, because of the structural diversity and low concentration, the deep profiling of carboxyl compounds in Chinese Baijiu is still challenging. In this work, a systematic method for comprehensive analysis of carboxyl compounds in Chinese Baijiu was established. After derivatized under optimized conditions, 197 p-dimethylaminophenacyl bromide-derived carboxylic compounds were annotated by multidimensional information including accurate mass, predicted tR, in-silico MS/MS, and diagnostic ions for the first time. In addition, 48 of the 197 carboxyl compounds were positively identified, and three of them were newly identified in Chinese Baijiu. Moreover, we found the number and the concentration of carboxyl compounds in sauce-flavor Baijiu were more abundant than in strong-flavor Baijiu. This work provides a novel method for the analysis of carboxyl compounds in Baijiu and other complex samples.
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Affiliation(s)
- Xiaoyu Xie
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education of China), Key Laboratory of Phytochemical R&D of Hunan Province, Hunan Normal University, Changsha 410081, China
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Xin Lu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China
| | - Xiuqiong Zhang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Fujian Zheng
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Di Yu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China
| | - Chao Li
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- School of Computer Science & Technology, Dalian University of Technology, Dalian 116024, China
| | - Sijia Zheng
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Bo Chen
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education of China), Key Laboratory of Phytochemical R&D of Hunan Province, Hunan Normal University, Changsha 410081, China
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China
| | - Ming Ma
- Key Laboratory of Chemical Biology and Traditional Chinese Medicine Research (Ministry of Education of China), Key Laboratory of Phytochemical R&D of Hunan Province, Hunan Normal University, Changsha 410081, China
- Corresponding authors at: CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
- Liaoning Province Key Laboratory of Metabolomics, Dalian 116023, China
- Corresponding authors at: CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
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15
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Liu Y, Wang T, Li R. A prognostic Risk Score model for oral squamous cell carcinoma constructed by 6 glycolysis-immune-related genes. BMC Oral Health 2022; 22:324. [PMID: 35922788 PMCID: PMC9351085 DOI: 10.1186/s12903-022-02358-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 07/26/2022] [Indexed: 12/23/2022] Open
Abstract
Background Oral squamous cell carcinoma (OSCC) is the most frequent tumor of the head and neck. The glycolysis-related genes and immune-related genes have been proven prognostic values in various cancers. Our study aimed to test the prognostic value of glycolysis-immune-related genes in OSCC. Methods Data of OSCC patients were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Enrichment analysis was applied to the glycolysis- and immune-related genes screened by differential expression analysis. Univariate Cox and LASSO Cox analyses were used to filtrate the genes related to the prognosis of OSCC and to construct Risk Score model. Results A Risk Score model was constructed by six glycolysis-immune-related genes (including ALDOC, VEGFA, HRG, PADI3, IGSF11 and MIPOL1). High risk OSCC patients (Risk Score >−0.3075) had significantly worse overall survival than that of low risk patients (Risk Score <−0.3075). Conclusions The Risk Score model constructed basing on 6 glycolysis-immune-related genes was reliable in stratifying OSCC patients with different prognosis.
Supplementary Information The online version contains supplementary material available at 10.1186/s12903-022-02358-0.
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Affiliation(s)
- Yi Liu
- Department of Stomatology, Tianjin First Central Hospital, Nankai District, No.24 Fukang Road, Tianjin, 300192, People's Republic of China.
| | - Tong Wang
- Department of Stomatology, Tianjin First Central Hospital, Nankai District, No.24 Fukang Road, Tianjin, 300192, People's Republic of China
| | - Ronghua Li
- Department of Stomatology, Tianjin First Central Hospital, Nankai District, No.24 Fukang Road, Tianjin, 300192, People's Republic of China
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16
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Bian X, Miao W, Zhao M, Zhao Y, Xiao Y, Li N, Wu JL. Microbiota drive insoluble polysaccharides utilization via microbiome-metabolome interplay during Pu-erh tea fermentation. Food Chem 2022; 377:132007. [PMID: 34999465 DOI: 10.1016/j.foodchem.2021.132007] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 10/25/2021] [Accepted: 12/11/2021] [Indexed: 11/29/2022]
Abstract
Polysaccharides are abundant components in Pu-erh tea, yet the utilization of insoluble polysaccharides under the actions of microbiota has rarely been studied. The aim of this work was to study how insoluble polysaccharides were utilized during fermentation through the investigation of the variations and correlation of microbiota with polysaccharides degradation products. Genomics study revealed the significant changes of microbiota. Metabolomics analysis showed monosaccharides (types 1 and 3) were consumed during early and middle fermentation stages, while carboxylic acids and other monosaccharides (type 2) were accumulated at middle and late pile-fermentation stages. Correlation revealed that type 1 and 3 monosaccharides, which act as energy providers, were positively associated with Aspergillus, while type 2 monosaccharides possessing multiple bioactivities and carboxylic acids influencing tea taste were positively related to Rasamsonia, Thermomyces, Bacillaceae, and Lactobacillaceae. This study would be beneficial to improve production efficiency and provide basis for quality control of Pu-erh tea fermentation.
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Affiliation(s)
- Xiqing Bian
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Taipa, Macao, China
| | - Wen Miao
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Taipa, Macao, China
| | - Ming Zhao
- College of Longrun Pu-erh Tea, Yunnan Agricultural University, Kunming, China
| | - Yiran Zhao
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Taipa, Macao, China
| | - Ying Xiao
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Taipa, Macao, China
| | - Na Li
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Taipa, Macao, China.
| | - Jian-Lin Wu
- State Key Laboratory for Quality Research of Chinese Medicines, Macau University of Science and Technology, Taipa, Macao, China.
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17
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Chen S, Fu Y, Bian X, Zhao M, Zuo Y, Ge Y, Xiao Y, Xiao J, Li N, Wu JL. Investigation and dynamic profiling of oligopeptides, free amino acids and derivatives during Pu-erh tea fermentation by ultra-high performance liquid chromatography tandem mass spectrometry. Food Chem 2022; 371:131176. [PMID: 34601212 DOI: 10.1016/j.foodchem.2021.131176] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/15/2021] [Accepted: 09/15/2021] [Indexed: 02/08/2023]
Abstract
Microbial fermentation is the critical step of Pu-erh tea manufacture, which will induce dramatic changes in the chemical composition and content of tea. In this research, we applied multi-methods based on UHPLC-Q-TOF/MS to profile the dynamic changes of oligopeptides, free amino acids, and derivatives (OPADs) during Pu-erh fermentation and predicted the potential bioactivities in silico. A total of 60 oligopeptides, 18 free amino acids, and 42 amino acid derivatives were identified, and the contents of most of them decreased after fermentation. But several N-acetyl amino acids increased 7-36 times after fermentation, and they might be the potential inhibitors of neurokinin-1 receptor. Moreover, the results of metamicrobiology showed Aspergillus niger and Aspergillus luchuensis were more prominent to metabolize protein, oligopeptides, and amino acids. Overall, these findings provide valuable insights about dynamic variations of OPADs during Pu-erh tea fermentation and are beneficial for guiding practical fermentation and quality control of Pu-erh tea.
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Affiliation(s)
- Shengshuang Chen
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau SAR, China
| | - Yu Fu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau SAR, China
| | - Xiqing Bian
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau SAR, China
| | - Ming Zhao
- College of Longrun Pu-erh Tea, Yunnan Agricultural University, Kunming, China
| | - Yilang Zuo
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau SAR, China
| | - Yahui Ge
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau SAR, China
| | - Ying Xiao
- Faculty of Medicine, Macau University of Science and Technology, Macau SAR, China
| | - Jianbo Xiao
- Department of Analytical Chemistry and Food Science, Faculty of Food Science and Technology, University of Vigo, Vigo, Spain
| | - Na Li
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau SAR, China.
| | - Jian-Lin Wu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macau SAR, China.
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18
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Bian X, Xie X, Cai J, Zhao Y, Miao W, Chen X, Xiao Y, Li N, Wu JL. Dynamic changes of phenolic acids and antioxidant activity of Citri Reticulatae Pericarpium during aging processes. Food Chem 2021; 373:131399. [PMID: 34717083 DOI: 10.1016/j.foodchem.2021.131399] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 09/05/2021] [Accepted: 10/11/2021] [Indexed: 01/31/2023]
Abstract
Citri reticulatae pericarpium (CRP) shows multiple bioactivities, including antioxidant, anti-tumor, and anti-inflammation. The folk proverb "CRP, the older, the better" means storing for longer time would improve its quality, which attributed to the influence of bioactive compounds. The aim of this work was to study which compounds are the factors that long storage would influence the quality of CRP. 161 compounds, including 65 flavonoids, 51 phenolic acids, 27 fatty acids, and 18 amino acids were identified through derivatization and non-derivatization liquid chromatography mass spectrometry approaches. Their dynamic changes indicated phenolic acids, which were reported to have various activities, were the main increased components. Furthermore, the representative phenolic acids were quantified and correlation analysis between their contents and antioxidant activity implicated they were the possible indicators that long storage would improve CRP quality. The results would provide basis for quality control of CRP during storage.
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Affiliation(s)
- Xiqing Bian
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China
| | - Xinyi Xie
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China
| | - Jialing Cai
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China
| | - Yiran Zhao
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China
| | - Wen Miao
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China
| | - Xiaolin Chen
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China
| | - Ying Xiao
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China
| | - Na Li
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China.
| | - Jian-Lin Wu
- State Key Laboratory of Quality Research in Chinese Medicine, Macau Institute for Applied Research in Medicine and Health, Macau University of Science and Technology, Macao, China.
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19
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Furlani IL, da Cruz Nunes E, Canuto GAB, Macedo AN, Oliveira RV. Liquid Chromatography-Mass Spectrometry for Clinical Metabolomics: An Overview. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1336:179-213. [PMID: 34628633 DOI: 10.1007/978-3-030-77252-9_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
Metabolomics is a discipline that offers a comprehensive analysis of metabolites in biological samples. In the last decades, the notable evolution in liquid chromatography and mass spectrometry technologies has driven an exponential progress in LC-MS-based metabolomics. Targeted and untargeted metabolomics strategies are important tools in health and medical science, especially in the study of disease-related biomarkers, drug discovery and development, toxicology, diet, physical exercise, and precision medicine. Clinical and biological problems can now be understood in terms of metabolic phenotyping. This overview highlights the current approaches to LC-MS-based metabolomics analysis and its applications in the clinical research.
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Affiliation(s)
- Izadora L Furlani
- Núcleo de Pesquisa em Cromatografia (Separare), Department of Chemistry, Federal University of São Carlos, São Carlos, SP, Brazil
| | - Estéfane da Cruz Nunes
- Department of Analytical Chemistry, Institute of Chemistry, Federal University of Bahia, Salvador, BA, Brazil
| | - Gisele A B Canuto
- Department of Analytical Chemistry, Institute of Chemistry, Federal University of Bahia, Salvador, BA, Brazil
| | - Adriana N Macedo
- Department of Chemistry, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil
| | - Regina V Oliveira
- Núcleo de Pesquisa em Cromatografia (Separare), Department of Chemistry, Federal University of São Carlos, São Carlos, SP, Brazil.
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