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Li L, Ding S, Wang W, Yang L, Wilson G, Sa Y, Zhang Y, Chen J, Ma X. Serum metabolomics reveals the metabolic profile and potential biomarkers of ankylosing spondylitis. Mol Omics 2024. [PMID: 38984672 DOI: 10.1039/d4mo00076e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/11/2024]
Abstract
Ankylosing spondylitis (AS) is a chronic systemic inflammatory disease that significantly impairs physical function in young individuals. However, the identification of radiographic changes in AS is frequently delayed, and the diagnostic efficacy of biomarkers like HLA-B27 remains moderately effective, with unsatisfactory sensitivity and specificity. In contrast to existing literature, our current experiment utilized a larger sample size and employed both untargeted and targeted UHPLC-QTOF-MS/MS based metabolomics to identify the metabolite profile and potential biomarkers of AS. The results indicated a notable divergence between the two groups, and a total of 170 different metabolites were identified, which were associated with the 6 primary metabolic pathways exhibiting a correlation with AS. Among these, 26 metabolites exhibited high sensitivity and specificity with area under curve (AUC) values greater than 0.8. Subsequent targeted quantitative analysis discovered 3 metabolites, namely 3-amino-2-piperidone, hypoxanthine and octadecylamine, exhibiting excellent distinguishing ability based on the results of the ROC curve and the Random Forest model, thus qualifying as potential biomarkers for AS. Summarily, our untargeted and targeted metabolomics investigation offers novel and precise insights into potential biomarkers for AS, potentially enhancing diagnostic capabilities and furthering the comprehension of the condition's pathophysiology.
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Affiliation(s)
- Liuyan Li
- School of Pharmacy, Ningxia Medical University, 1160 Shenli Street, Yinchuan, 750004, China.
| | - Shuqin Ding
- School of Pharmacy, Ningxia Medical University, 1160 Shenli Street, Yinchuan, 750004, China.
| | - Weibiao Wang
- School of Pharmacy, Ningxia Medical University, 1160 Shenli Street, Yinchuan, 750004, China.
| | - Lingling Yang
- School of Pharmacy, Ningxia Medical University, 1160 Shenli Street, Yinchuan, 750004, China.
| | - Gidion Wilson
- School of Pharmacy, Ningxia Medical University, 1160 Shenli Street, Yinchuan, 750004, China.
| | - Yuping Sa
- School of Pharmacy, Ningxia Medical University, 1160 Shenli Street, Yinchuan, 750004, China.
| | - Yue Zhang
- School of Pharmacy, Ningxia Medical University, 1160 Shenli Street, Yinchuan, 750004, China.
| | - Jianyu Chen
- Fujian University of Traditional Chinese Medicine, No. 1, Huatuo Road, Minhoushangjie, Fuzhou 350122, China.
| | - Xueqin Ma
- School of Pharmacy, Ningxia Medical University, 1160 Shenli Street, Yinchuan, 750004, China.
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Zheng S, Zhang D, Duan B, Mo G, Li J, Huang H, Wang S, Ye Y, Huang Z, Huang P, Zhang F, Huang F, Han L. Metabolomics integrated network pharmacology reveals the mechanism of Ma-Mu-Ran Antidiarrheal Capsules on acute enteritis mice. Anal Biochem 2023; 668:115116. [PMID: 36925055 DOI: 10.1016/j.ab.2023.115116] [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: 02/06/2023] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023]
Abstract
Acute enteritis (AE) is a type of digestive disease caused by biochemical factors that irritate the intestinal tract or pathogenic bacteria that infect it. In China, Ma-Mu-Ran Antidiarrheal Capsules (MMRAC) have been applied against diarrhea caused by AE and bacillary dysentery for many years, but the underlying mechanisms of their beneficial effects are not known. In the present study, network pharmacology and metabolomics were performed to clarify the active ingredients of MMRAC and explore the specific mechanism of MMRAC on AE mice. A total of 43 active components of MMRAC with 87 anti-AE target genes were identified, and these target genes were enriched in IL-17 and HIF-1 signaling pathways. Integration analysis revealed that purine metabolism was the critical metabolic pathway by which MMRAC exerted its therapeutic effect against AE. Specifically, MAPK14, MMP9, PTGS2, HIF1A, EGLN1, NOS2 were the pivotal targets of MMRAC for the treatment of AE, and Western blot analysis revealed MMRAC to decrease protein levels of these pro-inflammatory signaling molecules. According to molecular docking, these key targets have a strong affinity with the MMRAC compounds. Collectively, MMRAC relieved the colon inflammation of AE mice via regulating inflammatory signaling pathways to reduce hypoxia and improved energy metabolism.
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Affiliation(s)
- Sili Zheng
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China
| | - Dongning Zhang
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China; Xinjiang Uygur Pharmaceutical Co., LTD, Urumqi, Xinjiang, 830026, China
| | - Bailu Duan
- College of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China
| | - Guoyan Mo
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China; Key Laboratory of Traditional Chinese Medicine Resource and Prescription, Ministry of Education, Wuhan, Hubei, 430065, China
| | - Jingjing Li
- College of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China
| | - Hailing Huang
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China
| | - Shanshan Wang
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China
| | - Yan Ye
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China
| | - Zhuang Huang
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China
| | - Ping Huang
- College of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China
| | - Fengyun Zhang
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China
| | - Fang Huang
- College of Basic Medical Sciences, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China.
| | - Lintao Han
- Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, Hubei, 430065, China; Key Laboratory of Traditional Chinese Medicine Resource and Prescription, Ministry of Education, Wuhan, Hubei, 430065, China.
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Untargeted Lipidomics Reveals Characteristic Biomarkers in Patients with Ankylosing Spondylitis Disease. Biomedicines 2022; 11:biomedicines11010047. [PMID: 36672555 PMCID: PMC9855684 DOI: 10.3390/biomedicines11010047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/10/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022] Open
Abstract
Objective. Ankylosing spondylitis (AS) is a chronic inflammatory disease of the axial skeleton. Early and accurate diagnosis is necessary for the timely and effective treatment of this disease and its common complications. Lipid metabolites form various kinds of bioactive molecules that regulate the initiation and progression of inflammation. However, there are currently few studies that investigate the alteration of serum lipid in AS patients. Methods. Blood samples were collected from 115 AS patients and 108 healthy controls (HCs). Serum-untargeted lipidomics were performed using ultrahigh-performance liquid chromatography coupled with Q-Exactive spectrometry, and the data were determined by multivariate statistical methods to explore potential lipid biomarkers. Results. Lipid phenotypes associated with disease activity were detected in the serum of patients with AS. Of all 586 identified lipids, there are 297 differential lipid metabolites between the AS and HC groups, of which 15 lipid metabolites are significant. In the AS groups, the levels of triacylglycerol (TAG) (18:0/18:1/20:0) were increased, and the levels of phosphatidylcholine (PC) (16:0e/26:4) and PC (18:1/22:6) were decreased. The areas under the receiver operating characteristic curve (AUC) of TAG (18:0/18:1/20:0), PC (16:0e/26:4), and PC (18:1/22:6) were 0.919, 0.843, and 0.907, respectively. Conclusion. Our findings uncovered that lipid deregulation is a crucial hallmark of AS, thereby providing new insights into the early diagnosis of AS.
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Wang L, Li S, Fan H, Han M, Xie J, Du J, Peng F. Bifidobacterium lactis combined with Lactobacillus plantarum inhibit glioma growth in mice through modulating PI3K/AKT pathway and gut microbiota. Front Microbiol 2022; 13:986837. [PMID: 36147842 PMCID: PMC9486703 DOI: 10.3389/fmicb.2022.986837] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/18/2022] [Indexed: 11/13/2022] Open
Abstract
Glioma is a common primary aggressive tumor with limited clinical treatment. Recently, growing research suggests that gut microbiota is involved in tumor progression, and several probiotics can inhibit tumor growth. However, evidence for the effect of probiotics on glioma is lacking. Here, we found that Bifidobacterium (B.) lactis combined with Lactobacillus (L.) plantarum reduced tumor volume, prolonged survival time and repaired the intestinal barrier damage in an orthotopic mouse model of glioma. Experiments demonstrated that B. lactis combined with L. plantarum suppressed the PI3K/AKT pathway and down-regulated the expression of Ki-67 and N-cadherin. The glioma-inhibitory effect of probiotic combination is also related to the modulation of gut microbiota composition, which is characterized by an increase in relative abundance of Lactobacillus and a decrease in some potential pathogenic bacteria. Additionally, probiotic combination altered fecal metabolites represented by fatty acyls and organic oxygen compounds. Together, our results prove that B. lactis combined with L. plantarum can inhibit glioma growth by suppressing PI3K/AKT pathway and regulating gut microbiota composition and metabolites in mice, thus suggesting the potential benefits of B. lactis and L. plantarum against glioma.
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Affiliation(s)
- Li Wang
- Department of Pharmacology, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China
| | - Sui Li
- Department of Pharmacology, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China
| | - Huali Fan
- Department of Pharmacology, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China
| | - Mingyu Han
- Department of Pharmacology, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China
| | - Jie Xie
- College of Life Sciences, Sichuan Normal University, Chengdu, China
| | - Junrong Du
- Department of Pharmacology, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China
- *Correspondence: Junrong Du,
| | - Fu Peng
- Department of Pharmacology, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial Technology, West China School of Pharmacy, Sichuan University, Chengdu, China
- Fu Peng,
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Huang T, Pu Y, Wang X, Li Y, Yang H, Luo Y, Liu Y. Metabolomic analysis in spondyloarthritis: A systematic review. Front Microbiol 2022; 13:965709. [PMID: 36118235 PMCID: PMC9479008 DOI: 10.3389/fmicb.2022.965709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/12/2022] [Indexed: 12/30/2022] Open
Abstract
Spondyloarthritis (SpA) is a group of rheumatic diseases that cause joint inflammation. Accumulating studies have focused on the metabolomic profiling of SpA in recent years. We conducted a systematic review to provide a collective summary of previous findings on metabolomic profiling associated with SpA. We systematically searched PubMed, Medline, Embase and Web of Science for studies on comparisons of the metabolomic analysis of SpA patients and non-SpA controls. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included articles. From 482 records identified, 31 studies were included in the analysis. A number of metabolites were differentially distributed between SpA and non-SpA cases. SpA patients showed higher levels of glucose, succinic acid, malic acid and lactate in carbohydrate metabolism, higher glycerol levels and lower fatty acid (especially unsaturated fatty acid) levels in lipid metabolism, and lower levels of tryptophan and glutamine in amino acid metabolism than healthy controls. Both conventional and biological therapy of SpA can insufficiently reverse the aberrant metabolism state toward that of the controls. However, the differences in the results of metabolic profiling between patients with SpA and other inflammatory diseases as well as among patients with several subtypes of SpA are inconsistent across studies. Studies on metabolomics have provided insights into etiological factors and biomarkers for SpA. Supplementation with the metabolites that exhibit decreased levels, such as short-chain fatty acids (SCFAs), has good treatment prospects for modulating immunity. Further studies are needed to elucidate the role of disordered metabolic molecules in the pathogenesis of SpA.
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Affiliation(s)
- Tianwen Huang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yaoyu Pu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Xiangpeng Wang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yanhong Li
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Hang Yang
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yubin Luo
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
| | - Yi Liu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
- Rare Diseases Center, West China Hospital, Sichuan University, Chengdu, China
- Institute of Immunology and Inflammation, Frontiers Science Center for Disease Related Molecular Network, West China Hospital, Chengdu, China
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Metabolomics: An Emerging Approach to Understand Pathogenesis and to Assess Diagnosis and Response to Treatment in Spondyloarthritis. Cells 2022; 11:cells11030549. [PMID: 35159358 PMCID: PMC8834108 DOI: 10.3390/cells11030549] [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: 12/23/2021] [Revised: 02/03/2022] [Accepted: 02/03/2022] [Indexed: 11/24/2022] Open
Abstract
Spondyloarthritis (SpA) is a group of rheumatic diseases whose pathogenesis relies on a complex interplay between genetic and environmental factors. Over the last several years, the importance of the alteration of the gut microbiota, known as dysbiosis, and the interaction of bacterial products with host immunity have been highlighted as intriguing key players in SpA development. The recent advent of the so called “-omics” sciences, that include metabolomics, opened the way to a new approach to SpA through a deeper characterisation of the pathogenetic mechanisms behind the disease. In addition, metabolomics can reveal potential new biomarkers to diagnose and monitor SpA patients. The aim of this review is to highlight the most recent advances concerning the application of metabolomics to SpA, in particular focusing attention on Ankylosing Spondylitis and Psoriatic Arthritis.
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Liao HT, Tsai CY, Lai CC, Hsieh SC, Sun YS, Li KJ, Shen CY, Wu CH, Lu CH, Kuo YM, Li TH, Chou CT, Yu CL. The Potential Role of Genetics, Environmental Factors, and Gut Dysbiosis in the Aberrant Non-Coding RNA Expression to Mediate Inflammation and Osteoclastogenic/Osteogenic Differentiation in Ankylosing Spondylitis. Front Cell Dev Biol 2022; 9:748063. [PMID: 35127698 PMCID: PMC8811359 DOI: 10.3389/fcell.2021.748063] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 11/09/2021] [Indexed: 12/17/2022] Open
Abstract
Ankylosing spondylitis (AS) or radiographic axial spondyloarthritis is a chronic immune-mediated rheumatic disorder characterized by the inflammation in the axial skeleton, peripheral joints, and soft tissues (enthesis, fascia, and ligament). In addition, the extra-skeletal complications including anterior uveitis, interstitial lung diseases and aortitis are found. The pathogenesis of AS implicates an intricate interaction among HLA (HLA-B27) and non-HLA loci [endoplasmic reticulum aminopeptidase 1 (ERAP1), and interleukin-23 receptor (IL23R), gut dysbiosis, immune plasticity, and numerous environmental factors (infections, heavy metals, stress, cigarette smoking, etc.) The latter multiple non-genetic factors may exert a powerful stress on epigenetic regulations. These epigenetic regulations of gene expression contain DNA methylation/demethylation, histone modifications and aberrant non-coding RNAs (ncRNAs) expression, leading to inflammation and immune dysfunctions. In the present review, we shall discuss these contributory factors that are involved in AS pathogenesis, especially the aberrant ncRNA expression and its effects on the proinflammatory cytokine productions (TNF-α, IL-17 and IL-23), T cell skewing to Th1/Th17, and osteoclastogenic/osteogenic differentiation. Finally, some potential investigatory approaches are raised for solving the puzzles in AS pathogenesis.
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Affiliation(s)
- Hsien-Tzung Liao
- Division of Allergy, Immunology and Rheumatology, Taipei Veterans General Hospital, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
| | - Chang-Youh Tsai
- Division of Allergy, Immunology and Rheumatology, Taipei Veterans General Hospital, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
- *Correspondence: Chang-Youh Tsai, ; Chia-Li Yu,
| | - Chien-Chih Lai
- Division of Allergy, Immunology and Rheumatology, Taipei Veterans General Hospital, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
| | - Song-Chou Hsieh
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yi-Syuan Sun
- Division of Allergy, Immunology and Rheumatology, Taipei Veterans General Hospital, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
| | - Ko-Jen Li
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Chieh-Yu Shen
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Cheng-Han Wu
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Cheng-Hsun Lu
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Yu-Min Kuo
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
| | - Tzu-Hao Li
- Division of Allergy, Immunology and Rheumatology, Taipei, Taiwan
- Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan
| | - Chung-Tei Chou
- Division of Allergy, Immunology and Rheumatology, Taipei Veterans General Hospital, National Yang-Ming Chiao-Tung University, Taipei, Taiwan
| | - Chia-Li Yu
- Division of Rheumatology, Immunology and Allergy, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan
- *Correspondence: Chang-Youh Tsai, ; Chia-Li Yu,
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Wang M, Chen J, Lin X, Huang L, Li H, Wen C, He Z. High humidity aggravates the severity of arthritis in collagen-induced arthritis mice by upregulating xylitol and L-pyroglutamic acid. Arthritis Res Ther 2021; 23:292. [PMID: 34852827 PMCID: PMC8638190 DOI: 10.1186/s13075-021-02681-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 11/18/2021] [Indexed: 01/23/2023] Open
Abstract
Background Humidity was an unfavorable factor for patients with rheumatoid arthritis (RA). RA disease activity was severe in high humidity conditions. However, there is no evidence to demonstrate the effects of humidity on arthritis in the animal experiments and explore its relevant mechanism. Methods Using the DBA/1 mice, this study addressed the effects of a high humidity (80 ± 5%) on arthritis in collagen-induced arthritis (CIA) mice. Then, this study used the gas chromatography-mass spectrometer (GC-MS) to explore alterations in serum metabolome caused by the high humidity. Furthermore, xylitol and L-pyroglutamic acid, which were both significantly upregulated by the high humidity, were selected to further study their effects on arthritis in the CIA mice. Results The high humidity (80 ± 5%) could aggravate arthritis variables including increasing arthritis score and swelling, serum autoantibodies (anti-COII and anti-CCP), and proinflammatory cytokines (IL-6, IL-17A, and G-CSF). In addition, the high humidity could cause significant alterations in serum metabolome in the CIA mice. Xylitol and L-pyroglutamic acid were the representative serum metabolites that were significantly upregulated by the high humidity. Further experiments demonstrated that the supplementation of 0.4 mg/mL xylitol in drinking water after inducing the CIA model and 2.0 mg/mL in drinking water before inducing the CIA model could both aggravate arthritis in the CIA mice. Conclusions These data demonstrated that high humidity was not beneficial for arthritis development and its mechanism might be associated with xylitol and L-pyroglutamic acid. Supplementary Information The online version contains supplementary material available at 10.1186/s13075-021-02681-x.
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Affiliation(s)
- Mingzhu Wang
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Jiao Chen
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Xiaoying Lin
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Lin Huang
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Haichang Li
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Chengping Wen
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
| | - Zhixing He
- Institute of Basic Research in Clinical Medicine, School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China.
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Cui M, Trimigno A, Aru V, Rasmussen MA, Khakimov B, Engelsen SB. Influence of Age, Sex, and Diet on the Human Fecal Metabolome Investigated by 1H NMR Spectroscopy. J Proteome Res 2021; 20:3642-3653. [PMID: 34048241 DOI: 10.1021/acs.jproteome.1c00220] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
The human fecal metabolome is increasingly studied to explore the impact of diet and lifestyle on health and the gut microbiome. However, systematic differences and confounding factors related to age, sex, and diet remain largely unknown. In this study, absolute concentrations of fecal metabolites from 205 healthy Danes (105 males and 100 females, 49 ± 31 years old) were quantified using 1H NMR spectroscopy and the newly developed SigMa software. The largest systemic variation was found to be highly related to age. Fecal concentrations of short-chain fatty acids (SCFA) were higher in the 18 years old group, while amino acids (AA) were higher in the elderly. Sex-related metabolic differences were weak but significant and mainly related to changes in SCFA. The concentrations of butyric, valeric, propionic, and isovaleric acids were found to be higher in males compared to females. Sex differences were associated with a stronger, possibly masking, effect from differential intake of macronutrients. Dietary fat intake decreased levels of SCFA and AA of both sexes, while carbohydrate intake showed weak correlations with valeric and isovaleric acids in females. This study highlights some possible demographic confounders linked to diet, disease, lifestyle, and microbiota that have to be taken into account when analyzing fecal metabolome data.
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Affiliation(s)
- Mengni Cui
- Chemometrics and Analytical Technology Section Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Alessia Trimigno
- Chemometrics and Analytical Technology Section Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Violetta Aru
- Chemometrics and Analytical Technology Section Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Morten A Rasmussen
- Chemometrics and Analytical Technology Section Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark.,COPSAC, Copenhagen Prospective Studies on Asthma in Childhood, Herlev and Gentofte Hospital, University of Copenhagen, Copenhagen 2820, Denmark
| | - Bekzod Khakimov
- Chemometrics and Analytical Technology Section Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
| | - Søren Balling Engelsen
- Chemometrics and Analytical Technology Section Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark
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Berlinberg AJ, Regner EH, Stahly A, Brar A, Reisz JA, Gerich ME, Fennimore BP, Scott FI, Freeman AE, Kuhn KA. Multi 'Omics Analysis of Intestinal Tissue in Ankylosing Spondylitis Identifies Alterations in the Tryptophan Metabolism Pathway. Front Immunol 2021; 12:587119. [PMID: 33746944 PMCID: PMC7966505 DOI: 10.3389/fimmu.2021.587119] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 01/08/2021] [Indexed: 12/20/2022] Open
Abstract
Intestinal microbial dysbiosis, intestinal inflammation, and Th17 immunity are all linked to the pathophysiology of spondyloarthritis (SpA); however, the mechanisms linking them remain unknown. One potential hypothesis suggests that the dysbiotic gut microbiome as a whole produces metabolites that influence human immune cells. To identify potential disease-relevant, microbiome-produced metabolites, we performed metabolomics screening and shotgun metagenomics on paired colon biopsies and fecal samples, respectively, from subjects with axial SpA (axSpA, N=21), Crohn's disease (CD, N=27), and Crohn's-axSpA overlap (CD-axSpA, N=12), as well as controls (HC, N=24). Using LC-MS based metabolomics of 4 non-inflamed pinch biopsies of the distal colon from subjects, we identified significant alterations in tryptophan pathway metabolites, including an expansion of indole-3-acetate (IAA) in axSpA and CD-axSpA compared to HC and CD and indole-3-acetaldehyde (I3Ald) in axSpA and CD-axSpA but not CD compared to HC, suggesting possible specificity to the development of axSpA. We then performed shotgun metagenomics of fecal samples to characterize gut microbial dysbiosis across these disease states. In spite of no significant differences in alpha-diversity among the 4 groups, our results confirmed differences in gene abundances of numerous enzymes involved in tryptophan metabolism. Specifically, gene abundance of indolepyruvate decarboxylase, which generates IAA and I3Ald, was significantly elevated in individuals with axSpA while gene abundances in HC demonstrated a propensity towards tryptophan synthesis. Such genetic changes were not observed in CD, again suggesting disease specificity for axSpA. Given the emerging role of tryptophan and its metabolites in immune function, altogether these data indicate that tryptophan metabolism into I3Ald and then IAA is one mechanism by which the gut microbiome potentially influences the development of axSpA.
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Affiliation(s)
- Adam J. Berlinberg
- Division of Rheumatology, Department of Medicine, University of Colorado, Aurora, CO, United States
| | - Emilie H. Regner
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Colorado, Aurora, CO, United States
| | - Andrew Stahly
- Division of Rheumatology, Department of Medicine, University of Colorado, Aurora, CO, United States
| | - Ana Brar
- Department of Medicine, University of Colorado, Aurora, CO, United States
| | - Julie A. Reisz
- Department of Biochemistry and Molecular Genetics, University of Colorado, Aurora, CO, United States
| | - Mark E. Gerich
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Colorado, Aurora, CO, United States
| | - Blair P. Fennimore
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Colorado, Aurora, CO, United States
| | - Frank I. Scott
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Colorado, Aurora, CO, United States
| | - Alison E. Freeman
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Colorado, Aurora, CO, United States
| | - Kristine A. Kuhn
- Division of Rheumatology, Department of Medicine, University of Colorado, Aurora, CO, United States
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11
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Ou J, Xiao M, Huang Y, Tu L, Chen Z, Cao S, Wei Q, Gu J. Serum Metabolomics Signatures Associated With Ankylosing Spondylitis and TNF Inhibitor Therapy. Front Immunol 2021; 12:630791. [PMID: 33679777 PMCID: PMC7933516 DOI: 10.3389/fimmu.2021.630791] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 01/04/2021] [Indexed: 12/14/2022] Open
Abstract
Ankylosing spondylitis (AS) is a type of spondyloarthropathies, the diagnosis of which is often delayed. The lack of early diagnosis tools often delays the institution of appropriate therapy. This study aimed to investigate the systemic metabolic shifts associated with AS and TNF inhibitors treatment. Additionally, we aimed to define reliable serum biomarkers for the diagnosis. We employed an untargeted technique, ultra-performance liquid chromatography-mass spectroscopy (LC-MS), to analyze the serum metabolome of 32 AS individuals before and after 24-week TNF inhibitors treatment, as well as 40 health controls (HCs). Multivariate and univariate statistical analyses were used to profile the differential metabolites associated with AS and TNF inhibitors. A diagnostic panel was established with the least absolute shrinkage and selection operator (LASSO). The pathway analysis was also conducted. A total of 55 significantly differential metabolites were detected. We generated a diagnostic panel comprising five metabolites (L-glutamate, arachidonic acid, L-phenylalanine, PC (18:1(9Z)/18:1(9Z)), 1-palmitoylglycerol), capable of distinguishing HCs from AS with a high AUC of 0.998, (95%CI: 0.992-1.000). TNF inhibitors treatment could restore the equilibrium of 21 metabolites. The most involved pathways in AS were amino acid biosynthesis, glycolysis, glutaminolysis, fatty acids biosynthesis and choline metabolism. This study characterized the serum metabolomics signatures of AS and TNF inhibitor therapy. We developed a five-metabolites-based panel serving as a diagnostic tool to separate patients from HCs. This serum metabolomics study yielded new knowledge about the AS pathogenesis and the systemic effects of TNF inhibitors.
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Affiliation(s)
- Jiayong Ou
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Min Xiao
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Yefei Huang
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Liudan Tu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Zena Chen
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shuangyan Cao
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qiujing Wei
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Jieruo Gu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
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12
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Satyamitra MM, Cassatt DR, Hollingsworth BA, Price PW, Rios CI, Taliaferro LP, Winters TA, DiCarlo AL. Metabolomics in Radiation Biodosimetry: Current Approaches and Advances. Metabolites 2020; 10:metabo10080328. [PMID: 32796693 PMCID: PMC7465152 DOI: 10.3390/metabo10080328] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 08/01/2020] [Accepted: 08/06/2020] [Indexed: 12/11/2022] Open
Abstract
Triage and medical intervention strategies for unanticipated exposure during a radiation incident benefit from the early, rapid and accurate assessment of dose level. Radiation exposure results in complex and persistent molecular and cellular responses that ultimately alter the levels of many biological markers, including the metabolomic phenotype. Metabolomics is an emerging field that promises the determination of radiation exposure by the qualitative and quantitative measurements of small molecules in a biological sample. This review highlights the current role of metabolomics in assessing radiation injury, as well as considerations for the diverse range of bioanalytical and sampling technologies that are being used to detect these changes. The authors also address the influence of the physiological status of an individual, the animal models studied, the technology and analysis employed in interrogating response to the radiation insult, and variables that factor into discovery and development of robust biomarker signatures. Furthermore, available databases for these studies have been reviewed, and existing regulatory guidance for metabolomics are discussed, with the ultimate goal of providing both context for this area of radiation research and the consideration of pathways for continued development.
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Affiliation(s)
- Merriline M. Satyamitra
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
- Correspondence: ; Tel.: +1-240-669-5432
| | - David R. Cassatt
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Brynn A. Hollingsworth
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Paul W. Price
- Office of Regulatory Affairs, Division of Allergy, Immunology and Transplantation (DAIT), National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA;
| | - Carmen I. Rios
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Lanyn P. Taliaferro
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Thomas A. Winters
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
| | - Andrea L. DiCarlo
- Radiation and Nuclear Countermeasures Program (RNCP), Division of Allergy, Immunology and Transplantation (DAIT), and National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), 5601 Fishers Lane, Rockville, MD 20852, USA; (D.R.C.); (B.A.H.); (C.I.R.); (L.P.T.); (T.A.W.); (A.L.D.)
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13
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Abstract
The term axial spondyloarthritis (axSpA) encompasses a heterogeneous group of diseases that have variable presentations, extra-articular manifestations and clinical outcomes, and that will respond differently to treatments. The prototypical type of axSpA, ankylosing spondylitis, is thought to be caused by interaction between the genetically primed host immune system and gut microbiota. Currently used biomarkers such as HLA-B27 status, C-reactive protein and erythrocyte sedimentation rate have, at best, moderate diagnostic and predictive value. Improved biomarkers are needed for axSpA to assist with early diagnosis and to better predict treatment responses and long-term outcomes. Advances in a range of 'omics' technologies and statistical approaches, including genomics approaches (such as polygenic risk scores), microbiome profiling and, potentially, transcriptomic, proteomic and metabolomic profiling, are making it possible for more informative biomarker sets to be developed for use in such clinical applications. Future developments in this field will probably involve combinations of biomarkers that require novel statistical approaches to analyse and to produce easy to interpret metrics for clinical application. Large publicly available datasets from well-characterized case-cohort studies that use extensive biological sampling, particularly focusing on early disease and responses to medications, are required to establish successful biomarker discovery and validation programmes.
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14
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Qi H, Li Y, Yun H, Zhang T, Huang Y, Zhou J, Yan H, Wei J, Liu Y, Zhang Z, Gao Y, Che Y, Su X, Zhu D, Zhang Y, Zhong J, Yang R. Lactobacillus maintains healthy gut mucosa by producing L-Ornithine. Commun Biol 2019; 2:171. [PMID: 31098404 PMCID: PMC6506532 DOI: 10.1038/s42003-019-0424-4] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 04/11/2019] [Indexed: 12/13/2022] Open
Abstract
Gut mucosal layers are crucial in maintaining the gut barrier function. Gut microbiota regulate homeostasis of gut mucosal layer via gut immune cells such as RORγt (+) IL-22(+) ILC3 cells, which can influence the proliferation of mucosal cells and the production of mucin. However, it is unclear how gut microbiota execute this regulation. Here we show that lactobacilli promote gut mucosal formation by producing L-Ornithine from arginine. L-Ornithine increases the level of aryl hydrocarbon receptor ligand L-kynurenine produced from tryptophan metabolism in gut epithelial cells, which in turn increases RORγt (+)IL-22(+) ILC3 cells. Human REG3A transgenic mice show an increased proportion of L-Ornithine producing lactobacilli in the gut contents, suggesting that gut epithelial REG3A favors the expansion of L-Ornithine producing lactobacilli. Our study implicates the importance of a crosstalk between arginine metabolism in Lactobacilli and tryptophan metabolism in gut epithelial cells in maintaining gut barrier.
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Affiliation(s)
- Houbao Qi
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Yuanyuan Li
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Huan Yun
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Tong Zhang
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, 100101 Beijing, China
- School of Life Science, University of Chinese Academy of Sciences, 100039 Beijing, China
| | - Yugang Huang
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Jiang Zhou
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Hui Yan
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Jianmei Wei
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Yingquan Liu
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Zhiqian Zhang
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Yunhuan Gao
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Yongzhe Che
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Xiaomin Su
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Dashuai Zhu
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Yuan Zhang
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
| | - Jin Zhong
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, 100101 Beijing, China
- School of Life Science, University of Chinese Academy of Sciences, 100039 Beijing, China
| | - Rongcun Yang
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, 300071 Tianjin, China
- Key Laboratory of Bioactive Materials Ministry of Education, Nankai University, 300071 Tianjin, China
- Department of Immunology, School of Medicine, Nankai University, 300071 Tianjin, China
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