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Kołodziej A, Płaza-Altamer A. Advances in the synthesis and application of silver nanoparticles for laser mass spectrometry: A mini-review. Talanta 2024; 277:126347. [PMID: 38838565 DOI: 10.1016/j.talanta.2024.126347] [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: 03/01/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 06/07/2024]
Abstract
Silver nanoparticles are used in laser mass spectrometry to replace organic matrices. Thanks to their unique properties, they enable effective desorption/ionization of samples of various polarities and ionization abilities. This review presents new methods for the synthesis of monoisotopic silver nanoparticles and the use of targets coated with these nanoparticles for qualitative and quantitative analyses of various small-molecule compounds. Additionally, the results of progress in the application of AgNPs for metabolomics analyses were presented.
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Affiliation(s)
- Artur Kołodziej
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland.
| | - Aneta Płaza-Altamer
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland
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2
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Le Scanff M, Marcourt L, Rutz A, Albertin W, Wolfender JL, Marchal A. Untargeted metabolomics analyses to identify a new sweet compound released during post-fermentation maceration of wine. Food Chem 2024; 461:140801. [PMID: 39178544 DOI: 10.1016/j.foodchem.2024.140801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 07/25/2024] [Accepted: 08/07/2024] [Indexed: 08/26/2024]
Abstract
The sensory quality of a wine is mainly based on its aroma and flavor. Sweetness contributes in the gustatory balance of red wines. The investigation of compounds involved in this flavor was based on empirical observations, such as the increase in wine sweetness during yeast autolysis, concomitant to post-fermentation maceration in red winemaking. An untargeted metabolomics approach using UHPLC-HRMS has been developed to discover a new sweet molecule released during this stage. Among several markers highlighted, one compound was selected to be isolated by various separative techniques. It was unambiguously identified by NMR as N6-succinyladenosine and is reported for the first time in wine at an average concentration of 3.16 mg/L in 85 red wines. Furthermore, sensory analysis has highlighted its sweetness. In addition to discovering a new sweet compound in wine, this study proposes new tools for studying taste-active compounds in natural matrices.
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Affiliation(s)
- Marie Le Scanff
- Univ. Bordeaux, Bordeaux INP, INRAE, BSA, OENO, UMR 1366, ISVV, F-33140 Villenave d'Ornon, France
| | - Laurence Marcourt
- School of Pharmaceutical Sciences, University of Geneva, Centre Médical Universitaire (CMU), Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University of Geneva, Centre Médical Universitaire (CMU), Geneva, Switzerland
| | - Adriano Rutz
- School of Pharmaceutical Sciences, University of Geneva, Centre Médical Universitaire (CMU), Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University of Geneva, Centre Médical Universitaire (CMU), Geneva, Switzerland
| | - Warren Albertin
- Univ. Bordeaux, Bordeaux INP, INRAE, BSA, OENO, UMR 1366, ISVV, F-33140 Villenave d'Ornon, France
| | - Jean-Luc Wolfender
- School of Pharmaceutical Sciences, University of Geneva, Centre Médical Universitaire (CMU), Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University of Geneva, Centre Médical Universitaire (CMU), Geneva, Switzerland
| | - Axel Marchal
- Univ. Bordeaux, Bordeaux INP, INRAE, BSA, OENO, UMR 1366, ISVV, F-33140 Villenave d'Ornon, France.
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Alwahsh M, Alejel R, Hasan A, Abuzaid H, Al-Qirim T. The Application of Metabolomics in Hyperlipidemia: Insights into Biomarker Discovery and Treatment Efficacy Assessment. Metabolites 2024; 14:438. [PMID: 39195534 DOI: 10.3390/metabo14080438] [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: 07/14/2024] [Revised: 08/02/2024] [Accepted: 08/05/2024] [Indexed: 08/29/2024] Open
Abstract
Hyperlipidemia is a lipid metabolism disorder that refers to increased levels of total triglycerides (TGs), cholesterol (TC), and low-density lipoprotein-cholesterol (LDL-C) and decreased levels of high-density lipoprotein-cholesterol (HDL-C). It is a major public health issue with increased prevalence and incidence worldwide. The ability to identify individuals at risk of this disorder before symptoms manifest will facilitate timely intervention and management to avert potential complications. This can be achieved by employing metabolomics as an early detection method for the diagnostic biomarkers of hyperlipidemia. Metabolomics is an analytical approach used to detect and quantify metabolites. This provides the ability to explain the metabolic processes involved in the development and progression of certain diseases. In recent years, interest in the use of metabolomics to identify disease biomarkers has increased, and several biomarkers have been discovered, such as docosahexaenoic acid, glycocholic acid, citric acid, betaine, and carnitine. This review discusses the primary metabolic alterations in the context of hyperlipidemia. Furthermore, we provide an overview of recent studies on the application of metabolomics to the assessment of the efficacy of traditional herbal products and common lipid-lowering medications.
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Affiliation(s)
- Mohammad Alwahsh
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
| | - Rahaf Alejel
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
| | - Aya Hasan
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
| | - Haneen Abuzaid
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
| | - Tariq Al-Qirim
- Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman 17138, Jordan
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4
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Siddique F, Shehata M, Ghazal M, Contractor S, El-Baz A. Lung Cancer Subtyping: A Short Review. Cancers (Basel) 2024; 16:2643. [PMID: 39123371 PMCID: PMC11312171 DOI: 10.3390/cancers16152643] [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: 06/14/2024] [Revised: 07/19/2024] [Accepted: 07/23/2024] [Indexed: 08/12/2024] Open
Abstract
As of 2022, lung cancer is the most commonly diagnosed cancer worldwide, with the highest mortality rate. There are three main histological types of lung cancer, and it is more important than ever to accurately identify the subtypes since the development of personalized, type-specific targeted therapies that have improved mortality rates. Traditionally, the gold standard for the confirmation of histological subtyping is tissue biopsy and histopathology. This, however, comes with its own challenges, which call for newer sampling techniques and adjunctive tools to assist in and improve upon the existing diagnostic workflow. This review aims to list and describe studies from the last decade (n = 47) that investigate three such potential omics techniques-namely (1) transcriptomics, (2) proteomics, and (3) metabolomics, as well as immunohistochemistry, a tool that has already been adopted as a diagnostic adjunct. The novelty of this review compared to similar comprehensive studies lies with its detailed description of each adjunctive technique exclusively in the context of lung cancer subtyping. Similarities between studies evaluating individual techniques and markers are drawn, and any discrepancies are addressed. The findings of this study indicate that there is promising evidence that supports the successful use of omics methods as adjuncts to the subtyping of lung cancer, thereby directing clinician practice in an economical and less invasive manner.
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Affiliation(s)
- Farzana Siddique
- Department of Bioengineering, University of Louisville, Louisville, KY 40292, USA; (F.S.); (M.S.)
| | - Mohamed Shehata
- Department of Bioengineering, University of Louisville, Louisville, KY 40292, USA; (F.S.); (M.S.)
| | - Mohammed Ghazal
- Electrical, Computer, and Biomedical Engineering Department, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates;
| | - Sohail Contractor
- Department of Radiology, University of Louisville, Louisville, KY 40202, USA;
| | - Ayman El-Baz
- Department of Bioengineering, University of Louisville, Louisville, KY 40292, USA; (F.S.); (M.S.)
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5
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Gadwal A, Panigrahi P, Khokhar M, Sharma V, Setia P, Vishnoi JR, Elhence P, Purohit P. A critical appraisal of the role of metabolomics in breast cancer research and diagnostics. Clin Chim Acta 2024; 561:119836. [PMID: 38944408 DOI: 10.1016/j.cca.2024.119836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 06/24/2024] [Accepted: 06/24/2024] [Indexed: 07/01/2024]
Abstract
Breast cancer (BC) remains the most prevalent cancer among women worldwide, despite significant advancements in its prevention and treatment. The escalating incidence of BC globally necessitates continued research into novel diagnostic and therapeutic strategies. Metabolomics, a burgeoning field, offers a comprehensive analysis of all metabolites within a cell, tissue, system, or organism, providing crucial insights into the dynamic changes occurring during cancer development and progression. This review focuses on the metabolic alterations associated with BC, highlighting the potential of metabolomics in identifying biomarkers for early detection, diagnosis, treatment and prognosis. Metabolomics studies have revealed distinct metabolic signatures in BC, including alterations in lipid metabolism, amino acid metabolism, and energy metabolism. These metabolic changes not only support the rapid proliferation of cancer cells but also influence the tumour microenvironment and therapeutic response. Furthermore, metabolomics holds great promise in personalized medicine, facilitating the development of tailored treatment strategies based on an individual's metabolic profile. By providing a holistic view of the metabolic changes in BC, metabolomics has the potential to revolutionize our understanding of the disease and improve patient outcomes.
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Affiliation(s)
- Ashita Gadwal
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Pragyan Panigrahi
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Manoj Khokhar
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Vaishali Sharma
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Puneet Setia
- Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Jeewan Ram Vishnoi
- Department of Oncosurgery, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India
| | - Poonam Elhence
- Department of Pathology, All India Institute of Medical Sciences, Jodhpur Rajasthan, 342005, India
| | - Purvi Purohit
- Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, 342005, India.
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Choudhury P, Dasgupta S, Bhattacharyya P, Roychowdhury S, Chaudhury K. Understanding pulmonary hypertension: the need for an integrative metabolomics and transcriptomics approach. Mol Omics 2024; 20:366-389. [PMID: 38853716 DOI: 10.1039/d3mo00266g] [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: 06/11/2024]
Abstract
Pulmonary hypertension (PH), characterised by mean pulmonary arterial pressure (mPAP) >20 mm Hg at rest, is a complex pathophysiological disorder associated with multiple clinical conditions. The high prevalence of the disease along with increased mortality and morbidity makes it a global health burden. Despite major advances in understanding the disease pathophysiology, much of the underlying complex molecular mechanism remains to be elucidated. Lack of a robust diagnostic test and specific therapeutic targets also poses major challenges. This review provides a comprehensive update on the dysregulated pathways and promising candidate markers identified in PH patients using the transcriptomics and metabolomics approach. The review also highlights the need of using an integrative multi-omics approach for obtaining insight into the disease at a molecular level. The integrative multi-omics/pan-omics approach envisaged to help in bridging the gap from genotype to phenotype is outlined. Finally, the challenges commonly encountered while conducting omics-driven studies are also discussed.
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Affiliation(s)
- Priyanka Choudhury
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India.
| | - Sanjukta Dasgupta
- Department of Biotechnology, Brainware University, Barasat, West Bengal, India
| | | | | | - Koel Chaudhury
- School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, West Bengal, India.
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Castañeta G, Sepulveda B, Areche C. Liquid chromatography-electrospray ionization-mass spectrometry/mass spectrometry characterization of depsides and depsidones from the Chilean lichen Parmotrema perlatum. EUROPEAN JOURNAL OF MASS SPECTROMETRY (CHICHESTER, ENGLAND) 2024; 30:125-132. [PMID: 38523368 DOI: 10.1177/14690667241240477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
Lichens are recognized by their unique compounds and diverse applications in food, medicines, and cosmetics. Using ultra-high pressure liquid chromatography, coupled with a high-resolution mass spectrometer, metabolomic profiling of the lichen Parmotrema perlatum, from a methanolic extract, was performed. Based on characteristic fragmentation patterns, twenty-five lichenic substances were tentatively identified including 5 depsides, 12 depsidones, 2 diphenyl ethers, 1 aromatic considered as possible artifact, 1 dibenzofuran, 1 carbohydrate, 1 organic acid, and 2 undefined compounds. To the best of our knowledge, this is a more complete report of their phytochemistry from P perlatum. Our findings of the P perlatum profile may contribute and complement the current data of the Parmotrema genus.
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Affiliation(s)
- Grover Castañeta
- Facultad de Ciencias Puras y Naturales, Instituto de Investigaciones Químicas, Universidad Mayor de San Andrés, La Paz, Bolivia
- Departamento de Química, Facultad de Ciencias, Universidad de Chile, Santiago, Chile
| | - Beatriz Sepulveda
- Departamento de Ciencias Químicas, Universidad Andrés Bello, Campus Viña del Mar, Viña del Mar, Chile
| | - Carlos Areche
- Departamento de Química, Facultad de Ciencias, Universidad de Chile, Santiago, Chile
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Zhang B, Hao L, Zhang J, Feng J, Wang C, Zhang J. Integration of transcriptome, volatile and non-volatile metabolite profile reveals characteristic aroma formation in Toona sinensis. Food Chem 2024; 436:137788. [PMID: 37866100 DOI: 10.1016/j.foodchem.2023.137788] [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: 07/26/2023] [Revised: 09/30/2023] [Accepted: 10/15/2023] [Indexed: 10/24/2023]
Abstract
Toona sinensis is renowned for its unique aroma, but the formation mechanism remains unclear. In this study, volatile and non-volatile metabolites were combined with transcriptomes to investigate the potential mechanism of aroma formation in T. sinensis buds (TSB) and microgreens (TSM). Volatile sulfur compounds (VSCs) and terpenes were the main volatiles of TSM and TSB, respectively. 20 volatiles were identified as potential biomarkers, mainly VSCs and terpenes. In VSC biosynthesis pathways, cysteine was primarily synthesized from serine transformation in TSM. S-(trans-l-propenyl)-l-cysteine was likely to be the main precursor of VSC biosynthesis in T. sinensis. Higher expression of lachrymatory-factor synthase (LFS) consuming more precursor (1-propenyl sulfenic acid) in TSB led to reduced accumulation of VSCs. Isopentenyl diphosphate isomerase (IDI) and mevalonate diphosphate decarboxylase (MPDC) might play crucial roles in T. sinensis terpene biosynthesis. This study provided valuable insights into the formation of characteristic aromas in T. sinensis.
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Affiliation(s)
- Beibei Zhang
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, 712100, China; Key Laboratory of Food Safety Risk Assessment, School of Chemistry Engineering, Xian University, Xian, Shaanxi, 710065, China; Shaanxi Key Laboratory of Economic Plant Resources Development and Utilization, Yangling, Shaanxi, 712100, China
| | - Lifang Hao
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, 712100, China; Shaanxi Key Laboratory of Economic Plant Resources Development and Utilization, Yangling, Shaanxi, 712100, China
| | - Jing Zhang
- College of Horticulture, Northwest A&F University, Yangling, Shaanxi, 712100, China
| | - Jinze Feng
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, 712100, China; Shaanxi Key Laboratory of Economic Plant Resources Development and Utilization, Yangling, Shaanxi, 712100, China
| | - Cheng Wang
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, 712100, China; Shaanxi Key Laboratory of Economic Plant Resources Development and Utilization, Yangling, Shaanxi, 712100, China.
| | - Jingfang Zhang
- College of Forestry, Northwest A&F University, Yangling, Shaanxi, 712100, China; Shaanxi Key Laboratory of Economic Plant Resources Development and Utilization, Yangling, Shaanxi, 712100, China.
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Donkers JM, Wiese M, van den Broek TJ, Wierenga E, Agamennone V, Schuren F, van de Steeg E. A host-microbial metabolite interaction gut-on-a-chip model of the adult human intestine demonstrates beneficial effects upon inulin treatment of gut microbiome. MICROBIOME RESEARCH REPORTS 2024; 3:18. [PMID: 38841408 PMCID: PMC11149092 DOI: 10.20517/mrr.2023.79] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/29/2024] [Accepted: 02/20/2024] [Indexed: 06/07/2024]
Abstract
Background: The gut and its microbiome have a major impact on many aspects of health and are therefore also an attractive target for drug- or food-based therapies. Here, we report on the added value of combining a microbiome screening model, the i-screen, with fresh intestinal tissue explants in a microfluidic gut-on-a-chip model, the Intestinal Explant Barrier Chip (IEBC). Methods: Adult human gut microbiome (fecal pool of 6 healthy donors) was cultured anaerobically in the i-screen platform for 24 h, without and with exposure to 4 mg/mL inulin. The i-screen cell-free culture supernatant was subsequently applied to the luminal side of adult human colon tissue explants (n = 3 donors), fixed in the IEBC, for 24 h and effects were evaluated. Results: The supplementation of the media with inulin promoted the growth of Anaerostipes, Bifidobacterium, Blautia, and Collinsella in the in vitro i-screen, and triggered an elevated production of butyrate by the microbiota. Human colon tissue exposed to inulin-treated i-screen cell-free culture supernatant or control i-screen cell-free culture supernatant with added short-chain fatty acids (SCFAs) showed improved tissue barrier integrity measured by a 28.2%-34.2% reduction in FITC-dextran 4000 (FD4) leakage and 1.3 times lower transport of antipyrine. Furthermore, the release of pro-inflammatory cytokines IL-1β, IL-6, IL-8, and TNF-α was reduced under these circumstances. Gene expression profiles confirmed these findings, but showed more profound effects for inulin-treated supernatant compared to SCFA-supplemented supernatant. Conclusion: The combination of i-screen and IEBC facilitates the study of complex intestinal processes such as host-microbial metabolite interaction and gut health.
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Affiliation(s)
- Joanne M. Donkers
- Department of Metabolic Health Research, TNO, Leiden 2333 BE, the Netherlands
| | - Maria Wiese
- Department of Microbiology & Systems Biology, TNO, Leiden 2333 BE, the Netherlands
| | - Tim J. van den Broek
- Department of Microbiology & Systems Biology, TNO, Leiden 2333 BE, the Netherlands
| | - Esmée Wierenga
- Department of Metabolic Health Research, TNO, Leiden 2333 BE, the Netherlands
| | - Valeria Agamennone
- Department of Microbiology & Systems Biology, TNO, Leiden 2333 BE, the Netherlands
| | - Frank Schuren
- Department of Microbiology & Systems Biology, TNO, Leiden 2333 BE, the Netherlands
| | - Evita van de Steeg
- Department of Metabolic Health Research, TNO, Leiden 2333 BE, the Netherlands
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Soares NP, Magalhaes GC, Mayrink PH, Verano-Braga T. Omics to Unveil Diabetes Mellitus Pathogenesis and Biomarkers: Focus on Proteomics, Lipidomics, and Metabolomics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2024; 1443:211-220. [PMID: 38409423 DOI: 10.1007/978-3-031-50624-6_11] [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: 02/28/2024]
Abstract
Diabetes mellitus (DM) is a chronic metabolic disorder characterized by elevated blood sugar levels, resulting from either body's inability to produce or effectively utilize insulin. There are several types of DM, but the most common are type 1 diabetes (T1D), type 2 diabetes (T2D), and gestational diabetes mellitus (GDM). DM is a complex disease and a global health concern, and the current clinical markers, such as fasting glucose, are helpful in the diagnosis of DM, but are not specific and sensitive, especially when measured on the beginning of the pathogenesis. Therefore, there is a pressing need to discover new early biomarkers that can provide an early diagnosis. Omics is an important field for the discovery of potential new biomarkers, especially proteomics, metabolomics, and lipidomics, where techniques such as liquid chromatography, mass spectrometry, and nuclear magnetic resonance are utilized to identify novel DM biomarkers and their pathways. In this review, we report papers that applied omics in the context of DM to identify new markers and their relationship with this disease, with the aim of elucidating new diagnostic techniques for the main types of DM.
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Affiliation(s)
- Nícia Pedreira Soares
- National Institute of Science and Technology in Nanobiopharmaceutics (INCT-Nanobiofar), Department of Physiology and Biophysics, Federal University of Minas Gerais, Belo Horizonte, Brazil
- Proteomics Group (NPF), Department of Physiology and Biophysics, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Gabriela Castro Magalhaes
- National Institute of Science and Technology in Nanobiopharmaceutics (INCT-Nanobiofar), Department of Physiology and Biophysics, Federal University of Minas Gerais, Belo Horizonte, Brazil
- Proteomics Group (NPF), Department of Physiology and Biophysics, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Pedro Henrique Mayrink
- National Institute of Science and Technology in Nanobiopharmaceutics (INCT-Nanobiofar), Department of Physiology and Biophysics, Federal University of Minas Gerais, Belo Horizonte, Brazil
- Proteomics Group (NPF), Department of Physiology and Biophysics, Federal University of Minas Gerais, Belo Horizonte, Brazil
| | - Thiago Verano-Braga
- National Institute of Science and Technology in Nanobiopharmaceutics (INCT-Nanobiofar), Department of Physiology and Biophysics, Federal University of Minas Gerais, Belo Horizonte, Brazil.
- Proteomics Group (NPF), Department of Physiology and Biophysics, Federal University of Minas Gerais, Belo Horizonte, Brazil.
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11
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Valera PS, Plou J, García I, Astobiza I, Viera C, M. Aransay A, Martin JE, Sasselli IR, Carracedo A, Liz-Marzán LM. SERS analysis of cancer cell-secreted purines reveals a unique paracrine crosstalk in MTAP-deficient tumors. Proc Natl Acad Sci U S A 2023; 120:e2311674120. [PMID: 38109528 PMCID: PMC10756296 DOI: 10.1073/pnas.2311674120] [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: 07/13/2023] [Accepted: 11/09/2023] [Indexed: 12/20/2023] Open
Abstract
The tumor microenvironment (TME) is a dynamic pseudoorgan that shapes the development and progression of cancers. It is a complex ecosystem shaped by interactions between tumor and stromal cells. Although the traditional focus has been on the paracrine communication mediated by protein messengers, recent attention has turned to the metabolic secretome in tumors. Metabolic enzymes, together with exchanged substrates and products, have emerged as potential biomarkers and therapeutic targets. However, traditional techniques for profiling secreted metabolites in complex cellular contexts are limited. Surface-enhanced Raman scattering (SERS) has emerged as a promising alternative due to its nontargeted nature and simplicity of operation. Although SERS has demonstrated its potential for detecting metabolites in biological settings, its application in deciphering metabolic interactions within multicellular systems like the TME remains underexplored. In this study, we introduce a SERS-based strategy to investigate the secreted purine metabolites of tumor cells lacking methylthioadenosine phosphorylase (MTAP), a common genetic event associated with poor prognosis in various cancers. Our SERS analysis reveals that MTAP-deficient cancer cells selectively produce methylthioadenosine (MTA), which is taken up and metabolized by fibroblasts. Fibroblasts exposed to MTA exhibit: i) molecular reprogramming compatible with cancer aggressiveness, ii) a significant production of purine derivatives that could be readily recycled by cancer cells, and iii) the capacity to secrete purine derivatives that induce macrophage polarization. Our study supports the potential of SERS for cancer metabolism research and reveals an unprecedented paracrine crosstalk that explains TME reprogramming in MTAP-deleted cancers.
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Affiliation(s)
- Pablo S. Valera
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián20014, Spain
- Centro de Investigación Biomédica En Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Donostia-San Sebastián20014, Spain
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio48160, Spain
- Departamento de Química Aplicada, Universidad del País Vasco/Euskal Herriko Universitatea (UPV/EHU), Donostia-San Sebastián20018, Spain
| | - Javier Plou
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián20014, Spain
- Centro de Investigación Biomédica En Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Donostia-San Sebastián20014, Spain
- Center for Cooperative Research in Nanoscience (CIC nanoGUNE), Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián20018, Spain
| | - Isabel García
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián20014, Spain
- Centro de Investigación Biomédica En Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Donostia-San Sebastián20014, Spain
| | - Ianire Astobiza
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio48160, Spain
- Centro de Investigación Biomédica En Red de Cáncer (CIBERONC),Madrid28029, Spain
| | - Cristina Viera
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio48160, Spain
| | - Ana M. Aransay
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio48160, Spain
- Biomedical Research Networking Center in hepatic diseases, Derio48160, Spain
| | - José E. Martin
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio48160, Spain
| | - Ivan R. Sasselli
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián20014, Spain
- Centro de Fisica de Materiales, Consejo Superior de Investigaciones Cientificas-Universidad del País Vasco/Euskal Herriko Universitatea (CSIC-UPV)/EHU), Donostiarra-San Sebastián20018, Spain
| | - Arkaitz Carracedo
- Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio48160, Spain
- Centro de Investigación Biomédica En Red de Cáncer (CIBERONC),Madrid28029, Spain
- IKERBASQUE, Basque Foundation for Science, Bilbao48009, Spain
- Translational Prostate Cancer Research Lab, Center for Cooperative Research in Biosciences-Basurto, Biocruces Bizkaia Health Research Institute, Derio48160, Spain
- Departamento de Bioquímica y Biología Molecular, Universidad del País Vasco/Euskal Herriko Universitatea (UPV/EHU), Leioa48940, Spain
| | - Luis M. Liz-Marzán
- Center for Cooperative Research in Biomaterials (CIC biomaGUNE), Basque Research and Technology Alliance (BRTA), Donostia-San Sebastián20014, Spain
- Centro de Investigación Biomédica En Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Donostia-San Sebastián20014, Spain
- IKERBASQUE, Basque Foundation for Science, Bilbao48009, Spain
- Cinbio, Universidade de Vigo, Vigo36310, Spain
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12
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Santos MD, Barros I, Brandão P, Lacerda L. Amino Acid Profiles in the Biological Fluids and Tumor Tissue of CRC Patients. Cancers (Basel) 2023; 16:69. [PMID: 38201497 PMCID: PMC10778074 DOI: 10.3390/cancers16010069] [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: 11/18/2023] [Revised: 12/19/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
Amino acids are the building blocks of proteins and essential players in pathways such as the citric acid and urea cycle, purine and pyrimidine biosynthesis, and redox cell signaling. Therefore, it is unsurprising that these molecules have a significant role in cancer metabolism and its metabolic plasticity. As one of the most prevalent malign diseases, colorectal cancer needs biomarkers for its early detection, prognostic, and prediction of response to therapy. However, the available biomarkers for this disease must be more powerful and present several drawbacks, such as high costs and complex laboratory procedures. Metabolomics has gathered substantial attention in the past two decades as a screening platform to study new metabolites, partly due to the development of techniques, such as mass spectrometry or liquid chromatography, which have become standard practice in diagnostic procedures for other diseases. Extensive metabolomic studies have been performed in colorectal cancer (CRC) patients in the past years, and several exciting results concerning amino acid metabolism have been found. This review aims to gather and present findings concerning alterations in the amino acid plasma pool of colorectal cancer patients.
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Affiliation(s)
- Marisa Domingues Santos
- Colorectal Unit, Hospital de Santo António, Centro Hospitalar Universitário de Santo António, 4050-651 Porto, Portugal;
- UMIB—Unit for Multidisciplinary Research in Biomedicine, ICBAS—School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal; (I.B.); (L.L.)
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-313 Porto, Portugal
| | - Ivo Barros
- UMIB—Unit for Multidisciplinary Research in Biomedicine, ICBAS—School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal; (I.B.); (L.L.)
| | - Pedro Brandão
- Colorectal Unit, Hospital de Santo António, Centro Hospitalar Universitário de Santo António, 4050-651 Porto, Portugal;
- UMIB—Unit for Multidisciplinary Research in Biomedicine, ICBAS—School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal; (I.B.); (L.L.)
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-313 Porto, Portugal
| | - Lúcia Lacerda
- UMIB—Unit for Multidisciplinary Research in Biomedicine, ICBAS—School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal; (I.B.); (L.L.)
- ITR—Laboratory for Integrative and Translational Research in Population Health, 4050-313 Porto, Portugal
- Genetic Laboratory Service, Centro de Genética Médica Jacinto de Magalhães, Centro Hospitalar Universitário de Santo António, 4050-651 Porto, Portugal
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13
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Radaic A, Kamarajan P, Cho A, Wang S, Hung GC, Najarzadegan F, Wong DT, Ton-That H, Wang CY, Kapila YL. Biological biomarkers of oral cancer. Periodontol 2000 2023:10.1111/prd.12542. [PMID: 38073011 PMCID: PMC11163022 DOI: 10.1111/prd.12542] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/09/2023] [Indexed: 06/12/2024]
Abstract
The oral squamous cell carcinoma (OSCC) 5 year survival rate of 41% has marginally improved in the last few years, with less than a 1% improvement per year from 2005 to 2017, with higher survival rates when detected at early stages. Based on histopathological grading of oral dysplasia, it is estimated that severe dysplasia has a malignant transformation rate of 7%-50%. Despite these numbers, oral dysplasia grading does not reliably predict its clinical behavior. Thus, more accurate markers predicting oral dysplasia progression to cancer would enable better targeting of these lesions for closer follow-up, especially in the early stages of the disease. In this context, molecular biomarkers derived from genetics, proteins, and metabolites play key roles in clinical oncology. These molecular signatures can help predict the likelihood of OSCC development and/or progression and have the potential to detect the disease at an early stage and, support treatment decision-making and predict treatment responsiveness. Also, identifying reliable biomarkers for OSCC detection that can be obtained non-invasively would enhance management of OSCC. This review will discuss biomarkers for OSCC that have emerged from different biological areas, including genomics, transcriptomics, proteomics, metabolomics, immunomics, and microbiomics.
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Affiliation(s)
- Allan Radaic
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Pachiyappan Kamarajan
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Alex Cho
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Sandy Wang
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Guo-Chin Hung
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Fereshteh Najarzadegan
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - David T Wong
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Hung Ton-That
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Cun-Yu Wang
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
| | - Yvonne L Kapila
- School of Dentistry, University of California, Los Angeles (UCLA), Los Angeles, California, USA
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14
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Nestor L, De Bundel D, Vander Heyden Y, Smolders I, Van Eeckhaut A. Unravelling the brain metabolome: A review of liquid chromatography - mass spectrometry strategies for extracellular brain metabolomics. J Chromatogr A 2023; 1712:464479. [PMID: 37952387 DOI: 10.1016/j.chroma.2023.464479] [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: 07/24/2023] [Revised: 10/27/2023] [Accepted: 10/29/2023] [Indexed: 11/14/2023]
Abstract
The analysis of the brain extracellular metabolome is of interest for numerous subdomains within neuroscience. Not only does it provide information about normal physiological functions, it is even more of interest for biomarker discovery and target discovery in disease. The extracellular analysis of the brain is particularly interesting as it provides information about the release of mediators in the brain extracellular fluid to look at cellular signaling and metabolic pathways through the release, diffusion and re-uptake of neurochemicals. In vivo samples are obtained through microdialysis, cerebral open-flow microperfusion or solid-phase microextraction. The analytes of potential interest are typically low in concentration and can have a wide range of physicochemical properties. Liquid chromatography coupled to mass spectrometry has proven its usefulness in brain metabolomics. It allows sensitive and specific analysis of low sample volumes, obtained through different approaches. Several strategies for the analysis of the extracellular fluid have been proposed. The most widely used approaches apply sample derivatization, specific stationary phases and/or hydrophilic interaction liquid chromatography. Miniaturization of these methods allows an even higher sensitivity. The development of chiral metabolomics is indispensable, as it allows to compare the enantiomeric ratio of compounds and provides even more challenges. Some limitations continue to exist for the previously developed methods and the development of new, more sensitive methods remains needed. This review provides an overview of the methods developed for sampling and liquid chromatography-mass spectrometry analysis of the extracellular metabolome.
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Affiliation(s)
- Liam Nestor
- Research group Experimental Pharmacology (EFAR), Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Dimitri De Bundel
- Research group Experimental Pharmacology (EFAR), Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Yvan Vander Heyden
- Department of Analytical Chemistry, Applied Chemometrics and Molecular Modelling (FABI), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Ilse Smolders
- Research group Experimental Pharmacology (EFAR), Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium
| | - Ann Van Eeckhaut
- Research group Experimental Pharmacology (EFAR), Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussels, Belgium.
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15
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Jeppesen MJ, Powers R. Multiplatform untargeted metabolomics. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2023; 61:628-653. [PMID: 37005774 PMCID: PMC10948111 DOI: 10.1002/mrc.5350 10.1002/mrc.5350] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 06/23/2024]
Abstract
Metabolomics samples like human urine or serum contain upwards of a few thousand metabolites, but individual analytical techniques can only characterize a few hundred metabolites at best. The uncertainty in metabolite identification commonly encountered in untargeted metabolomics adds to this low coverage problem. A multiplatform (multiple analytical techniques) approach can improve upon the number of metabolites reliably detected and correctly assigned. This can be further improved by applying synergistic sample preparation along with the use of combinatorial or sequential non-destructive and destructive techniques. Similarly, peak detection and metabolite identification strategies that employ multiple probabilistic approaches have led to better annotation decisions. Applying these techniques also addresses the issues of reproducibility found in single platform methods. Nevertheless, the analysis of large data sets from disparate analytical techniques presents unique challenges. While the general data processing workflow is similar across multiple platforms, many software packages are only fully capable of processing data types from a single analytical instrument. Traditional statistical methods such as principal component analysis were not designed to handle multiple, distinct data sets. Instead, multivariate analysis requires multiblock or other model types for understanding the contribution from multiple instruments. This review summarizes the advantages, limitations, and recent achievements of a multiplatform approach to untargeted metabolomics.
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Affiliation(s)
- Micah J. Jeppesen
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States
- Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States
| | - Robert Powers
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States
- Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States
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16
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Jeppesen MJ, Powers R. Multiplatform untargeted metabolomics. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2023; 61:628-653. [PMID: 37005774 PMCID: PMC10948111 DOI: 10.1002/mrc.5350] [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: 01/16/2023] [Revised: 03/29/2023] [Accepted: 03/30/2023] [Indexed: 06/19/2023]
Abstract
Metabolomics samples like human urine or serum contain upwards of a few thousand metabolites, but individual analytical techniques can only characterize a few hundred metabolites at best. The uncertainty in metabolite identification commonly encountered in untargeted metabolomics adds to this low coverage problem. A multiplatform (multiple analytical techniques) approach can improve upon the number of metabolites reliably detected and correctly assigned. This can be further improved by applying synergistic sample preparation along with the use of combinatorial or sequential non-destructive and destructive techniques. Similarly, peak detection and metabolite identification strategies that employ multiple probabilistic approaches have led to better annotation decisions. Applying these techniques also addresses the issues of reproducibility found in single platform methods. Nevertheless, the analysis of large data sets from disparate analytical techniques presents unique challenges. While the general data processing workflow is similar across multiple platforms, many software packages are only fully capable of processing data types from a single analytical instrument. Traditional statistical methods such as principal component analysis were not designed to handle multiple, distinct data sets. Instead, multivariate analysis requires multiblock or other model types for understanding the contribution from multiple instruments. This review summarizes the advantages, limitations, and recent achievements of a multiplatform approach to untargeted metabolomics.
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Affiliation(s)
- Micah J. Jeppesen
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States
- Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States
| | - Robert Powers
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States
- Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, NE 68588-0304, United States
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17
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San Valentin EMD, Do KA, Yeung SCJ, Reyes-Gibby CC. Attempts to Understand Oral Mucositis in Head and Neck Cancer Patients through Omics Studies: A Narrative Review. Int J Mol Sci 2023; 24:16995. [PMID: 38069314 PMCID: PMC10706892 DOI: 10.3390/ijms242316995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 11/27/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
Oral mucositis (OM) is a common and clinically impactful side effect of cytotoxic cancer treatment, particularly in patients with head and neck squamous cell carcinoma (HNSCC) who undergo radiotherapy with or without concomitant chemotherapy. The etiology and pathogenic mechanisms of OM are complex, multifaceted and elicit both direct and indirect damage to the mucosa. In this narrative review, we describe studies that use various omics methodologies (genomics, transcriptomics, microbiomics and metabolomics) in attempts to elucidate the biological pathways associated with the development or severity of OM. Integrating different omics into multi-omics approaches carries the potential to discover links among host factors (genomics), host responses (transcriptomics, metabolomics), and the local environment (microbiomics).
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Affiliation(s)
- Erin Marie D. San Valentin
- Department of Emergency Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Kim-Anh Do
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sai-Ching J. Yeung
- Department of Emergency Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Cielito C. Reyes-Gibby
- Department of Emergency Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
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18
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Shastry A, Dunham-Snary K. Metabolomics and mitochondrial dysfunction in cardiometabolic disease. Life Sci 2023; 333:122137. [PMID: 37788764 DOI: 10.1016/j.lfs.2023.122137] [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: 08/01/2023] [Revised: 09/21/2023] [Accepted: 09/29/2023] [Indexed: 10/05/2023]
Abstract
Circulating metabolites are indicators of systemic metabolic dysfunction and can be detected through contemporary techniques in metabolomics. These metabolites are involved in numerous mitochondrial metabolic processes including glycolysis, fatty acid β-oxidation, and amino acid catabolism, and changes in the abundance of these metabolites is implicated in the pathogenesis of cardiometabolic diseases (CMDs). Epigenetic regulation and direct metabolite-protein interactions modulate metabolism, both within cells and in the circulation. Dysfunction of multiple mitochondrial components stemming from mitochondrial DNA mutations are implicated in disease pathogenesis. This review will summarize the current state of knowledge regarding: i) the interactions between metabolites found within the mitochondrial environment during CMDs, ii) various metabolites' effects on cellular and systemic function, iii) how harnessing the power of metabolomic analyses represents the next frontier of precision medicine, and iv) how these concepts integrate to expand the clinical potential for translational cardiometabolic medicine.
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Affiliation(s)
- Abhishek Shastry
- Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Kimberly Dunham-Snary
- Department of Medicine, Queen's University, Kingston, ON, Canada; Department of Biomedical & Molecular Sciences, Queen's University, Kingston, ON, Canada.
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19
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Kulkarni A, Delgadillo FM, Gayathrinathan S, Grajeda BI, Roy S. Current Status of Omics Studies Elucidating the Features of Reproductive Biology in Blood-Feeding Insects. INSECTS 2023; 14:802. [PMID: 37887814 PMCID: PMC10607566 DOI: 10.3390/insects14100802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 10/28/2023]
Abstract
Female insects belonging to the genera Anopheles, Aedes, Glossina, and Rhodnius account for the majority of global vector-borne disease mortality. In response to mating, these female insects undergo several molecular, physiological, and behavioral changes. Studying the dynamic post-mating molecular responses in these insects that transmit human diseases can lead to the identification of potential targets for the development of novel vector control methods. With the continued advancements in bioinformatics tools, we now have the capability to delve into various physiological processes in these insects. Here, we discuss the availability of multiple datasets describing the reproductive physiology of the common blood-feeding insects at the molecular level. Additionally, we compare the male-derived triggers transferred during mating to females, examining both shared and species-specific factors. These triggers initiate post-mating genetic responses in female vectors, affecting not only their reproductive success but also disease transmission.
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Affiliation(s)
- Aditi Kulkarni
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79968, USA; (A.K.); (F.M.D.); (S.G.); (B.I.G.)
- Border Biomedical Research Center, University of Texas at El Paso, El Paso, TX 79968, USA
| | - Frida M. Delgadillo
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79968, USA; (A.K.); (F.M.D.); (S.G.); (B.I.G.)
- Environmental Science and Engineering Ph.D. Program, University of Texas at El Paso, El Paso, TX 79968, USA
| | - Sharan Gayathrinathan
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79968, USA; (A.K.); (F.M.D.); (S.G.); (B.I.G.)
- Border Biomedical Research Center, University of Texas at El Paso, El Paso, TX 79968, USA
| | - Brian I. Grajeda
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79968, USA; (A.K.); (F.M.D.); (S.G.); (B.I.G.)
- Biosciences Ph.D. Program, University of Texas at El Paso, El Paso, TX 79968, USA
| | - Sourav Roy
- Department of Biological Sciences, University of Texas at El Paso, El Paso, TX 79968, USA; (A.K.); (F.M.D.); (S.G.); (B.I.G.)
- Border Biomedical Research Center, University of Texas at El Paso, El Paso, TX 79968, USA
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20
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Chowdhury CR, Kavitake D, Jaiswal KK, Jaiswal KS, Reddy GB, Agarwal V, Shetty PH. NMR-based metabolomics as a significant tool for human nutritional research and health applications. FOOD BIOSCI 2023. [DOI: 10.1016/j.fbio.2023.102538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
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21
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Ossoliński K, Ruman T, Copié V, Tripet BP, Kołodziej A, Płaza-Altamer A, Ossolińska A, Ossoliński T, Nieczaj A, Nizioł J. Targeted and untargeted urinary metabolic profiling of bladder cancer. J Pharm Biomed Anal 2023; 233:115473. [PMID: 37229797 DOI: 10.1016/j.jpba.2023.115473] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 05/18/2023] [Accepted: 05/20/2023] [Indexed: 05/27/2023]
Abstract
Bladder cancer (BC) is frequent cancer affecting the urinary tract and is one of the most prevalent malignancies worldwide. No biomarkers that can be used for effective monitoring of therapeutic interventions for this cancer have been identified to date. This study investigated polar metabolite profiles in urine samples from 100 BC patients and 100 normal controls (NCs) using nuclear magnetic resonance (NMR) and two methods of high-resolution nanoparticle-based laser desorption/ionization mass spectrometry (LDI-MS). Five urine metabolites were identified and quantified using NMR spectroscopy to be potential indicators of bladder cancer. Twenty-five LDI-MS-detected compounds, predominantly peptides and lipids, distinguished urine samples from BC and NCs individuals. Level changes of three characteristic urine metabolites enabled BC tumor grades to be distinguished, and ten metabolites were reported to correlate with tumor stages. Receiver-Operating Characteristics analysis showed high predictive power for all three types of metabolomics data, with the area under the curve (AUC) values greater than 0.87. These findings suggest that metabolite markers identified in this study may be useful for the non-invasive detection and monitoring of bladder cancer stages and grades.
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Affiliation(s)
- Krzysztof Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100 Kolbuszowa, Poland
| | - Tomasz Ruman
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
| | - Valérie Copié
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT 59717, United States
| | - Brian P Tripet
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT 59717, United States
| | - Artur Kołodziej
- Doctoral School of Engineering and Technical Sciences at the Rzeszów University of Technology, 8 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
| | - Aneta Płaza-Altamer
- Doctoral School of Engineering and Technical Sciences at the Rzeszów University of Technology, 8 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
| | - Anna Ossolińska
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100 Kolbuszowa, Poland
| | - Tadeusz Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100 Kolbuszowa, Poland
| | - Anna Nieczaj
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
| | - Joanna Nizioł
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland.
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22
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Géhin C, Tokarska J, Fowler SJ, Barran PE, Trivedi DK. No skin off your back: the sampling and extraction of sebum for metabolomics. Metabolomics 2023; 19:21. [PMID: 36964290 PMCID: PMC10038389 DOI: 10.1007/s11306-023-01982-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 02/19/2023] [Indexed: 03/26/2023]
Abstract
INTRODUCTION Sebum-based metabolomics (a subset of "sebomics") is a developing field that involves the sampling, identification, and quantification of metabolites found in human sebum. Sebum is a lipid-rich oily substance secreted by the sebaceous glands onto the skin surface for skin homeostasis, lubrication, thermoregulation, and environmental protection. Interest in sebomics has grown over the last decade due to its potential for rapid analysis following non-invasive sampling for a range of clinical and environmental applications. OBJECTIVES To provide an overview of various sebum sampling techniques with their associated challenges. To evaluate applications of sebum for clinical research, drug monitoring, and human biomonitoring. To provide a commentary of the opportunities of using sebum as a diagnostic biofluid in the future. METHODS Bibliometric analyses of selected keywords regarding skin surface analysis using the Scopus search engine from 1960 to 2022 was performed on 12th January 2023. The published literature was compartmentalised based on what the work contributed to in the following areas: the understanding about sebum, its composition, the analytical technologies used, or the purpose of use of sebum. The findings were summarised in this review. RESULTS Historically, about 15 methods of sampling have been used for sebum collection. The sample preparation approaches vary depending on the analytes of interest and are summarised. The use of sebum is not limited to just skin diseases or drug monitoring but also demonstrated for other systemic disease. Most of the work carried out for untargeted analysis of metabolites associated with sebum has been in the recent two decades. CONCLUSION Sebum has a huge potential beyond skin research and understanding how one's physiological state affects or reflects on the skin metabolome via the sebaceous glands itself or by interactions with sebaceous secretion, will open doors for simpler biomonitoring. Sebum acts as a sink to environmental metabolites and has applications awaiting to be explored, such as biosecurity, cross-border migration, localised exposure to harmful substances, and high-throughput population screening. These applications will be possible with rapid advances in volatile headspace and lipidomics method development as well as the ability of the metabolomics community to annotate unknown species better. A key issue with skin surface analysis that remains unsolved is attributing the source of the metabolites found on the skin surface before meaningful biological interpretation.
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Affiliation(s)
- C Géhin
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Princess Street, Manchester, M1 7DN, UK
| | - J Tokarska
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Princess Street, Manchester, M1 7DN, UK
| | - S J Fowler
- Department of Respiratory Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
- Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
| | - P E Barran
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Princess Street, Manchester, M1 7DN, UK
| | - D K Trivedi
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Princess Street, Manchester, M1 7DN, UK.
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23
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Tarakhovskaya E, Marcillo A, Davis C, Milkovska-Stamenova S, Hutschenreuther A, Birkemeyer C. Matrix Effects in GC–MS Profiling of Common Metabolites after Trimethylsilyl Derivatization. Molecules 2023; 28:molecules28062653. [PMID: 36985624 PMCID: PMC10053008 DOI: 10.3390/molecules28062653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/02/2023] [Accepted: 03/10/2023] [Indexed: 03/17/2023] Open
Abstract
Metabolite profiling using gas chromatography coupled to mass spectrometry (GC–MS) is one of the most frequently applied and standardized methods in research projects using metabolomics to analyze complex samples. However, more than 20 years after the introduction of non-targeted approaches using GC–MS, there are still unsolved challenges to accurate quantification in such investigations. One particularly difficult aspect in this respect is the occurrence of sample-dependent matrix effects. In this project, we used model compound mixtures of different compositions to simplify the study of the complex interactions between common constituents of biological samples in more detail and subjected those to a frequently applied derivatization protocol for GC–MS analysis, namely trimethylsilylation. We found matrix effects as signal suppression and enhancement of carbohydrates and organic acids not to exceed a factor of ~2, while amino acids can be more affected. Our results suggest that the main reason for our observations may be an incomplete transfer of carbohydrate and organic acid derivatives during the injection process and compound interaction at the start of the separation process. The observed effects were reduced at higher target compound concentrations and by using a more suitable injection-liner geometry.
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Affiliation(s)
- Elena Tarakhovskaya
- Department of Plant Physiology and Biochemistry, Faculty of Biology, St. Petersburg State University, 199034 St. Petersburg, Russia
- Vavilov Institute of General Genetics RAS, St. Petersburg Branch, 199034 St. Petersburg, Russia
| | - Andrea Marcillo
- Mass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
- Institute of Energy and Climate Research (IEK-8), Forschungszentrum Jülich GmbH, 52428 Jülich, Germany
| | - Caroline Davis
- Mass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
- Waters GmbH, 1130 Vienna, Austria
| | - Sanja Milkovska-Stamenova
- Bioanalytics Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
- AP Diagnostics GmbH, 04103 Leipzig, Germany
| | - Antje Hutschenreuther
- Mass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
| | - Claudia Birkemeyer
- Mass Spectrometry Research Group, Faculty of Chemistry and Mineralogy, Leipzig University, 04103 Leipzig, Germany
- German Center for Integrative Biodiversity Research (iDiv) Halle-Leipzig-Jena, 04103 Leipzig, Germany
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Lacalle-Bergeron L, Izquierdo-Sandoval D, Fernández-Quintela A, Portillo MP, Sancho JV, Hernández F, Portolés T. LC-IMS-HRMS for identification of biomarkers in untargeted metabolomics: The effects of pterostilbene and resveratrol consumption in liver steatosis, animal model. Food Res Int 2023; 165:112376. [PMID: 36869462 DOI: 10.1016/j.foodres.2022.112376] [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: 09/14/2022] [Revised: 12/12/2022] [Accepted: 12/24/2022] [Indexed: 01/03/2023]
Abstract
Untargeted metabolomics with the combination of ion mobility separation coupled to high resolution mass spectrometry (IMS-HRMS) was applied to investigate the impact of resveratrol and pterostilbene supplementation on the metabolic fingerprint of the Wistar rats liver with induced liver steatosis. RP-LC and HILIC in both ionisation modes were employed to analyse the liver samples (n = 40) from Wistar rats fed with a high-fat and high-fructose diet, supplemented or not with resveratrol and pterostilbene. After univariate and multivariate statistical analysis, 34 metabolites were highlighted in the different diets and elucidated. Despite the structural similarity, different alterations in liver metabolism were observed by the supplementations. Resveratrol treatment was characterised by the alteration in metabolism of 17 lysophospholipids, while pterostilbene affected some vitamins and derivatives, among others. IMS has demonstrated great potential in the elucidation process thanks to the additional structural descriptor the CCS (Å2), providing more confidence in the identification.
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Affiliation(s)
- Leticia Lacalle-Bergeron
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Av. Sos Baynat S/N, 12071 Castellón de la Plana, Spain
| | - David Izquierdo-Sandoval
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Av. Sos Baynat S/N, 12071 Castellón de la Plana, Spain
| | - Alfredo Fernández-Quintela
- Nutrition and Obesity Group, Department of Nutrition and Food Science, Faculty of Pharmacy, University of the Basque Country (UPV/EHU), Lucio Lascaray Research Centre, 01006 Vitoria-Gasteiz, Spain; BIOARABA Institute of Health, 01009 Vitoria-Gasteiz, Spain; CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), 01006 Vitoria-Gasteiz, Spain
| | - María P Portillo
- Nutrition and Obesity Group, Department of Nutrition and Food Science, Faculty of Pharmacy, University of the Basque Country (UPV/EHU), Lucio Lascaray Research Centre, 01006 Vitoria-Gasteiz, Spain; BIOARABA Institute of Health, 01009 Vitoria-Gasteiz, Spain; CIBERobn Physiopathology of Obesity and Nutrition, Institute of Health Carlos III (ISCIII), 01006 Vitoria-Gasteiz, Spain.
| | - Juan Vicente Sancho
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Av. Sos Baynat S/N, 12071 Castellón de la Plana, Spain
| | - Félix Hernández
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Av. Sos Baynat S/N, 12071 Castellón de la Plana, Spain
| | - Tania Portolés
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Av. Sos Baynat S/N, 12071 Castellón de la Plana, Spain.
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25
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Balcázar-Zumaeta CR, Castro-Alayo EM, Cayo-Colca IS, Idrogo-Vásquez G, Muñoz-Astecker LD. Metabolomics during the spontaneous fermentation in cocoa (Theobroma cacao L.): An exploraty review. Food Res Int 2023; 163:112190. [PMID: 36596129 DOI: 10.1016/j.foodres.2022.112190] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 11/14/2022] [Accepted: 11/15/2022] [Indexed: 11/21/2022]
Abstract
Spontaneous fermentation is a process that depends on substrates' physical characteristics, crop variety, and postharvest practices; it induces variations in the metabolites that are responsible for the taste, aroma, and quality. Metabolomics makes it possible to detect key metabolites using chemometrics and makes it possible to establish patterns or identify biomarker behaviors under certain conditions at a given time. Therefore, sensitive and highly efficient analytical techniques allow for studying the metabolomic fingerprint changes during fermentation; which identify and quantify metabolites related to taste and aroma formation of an adequate processing time. This review shows that studying metabolomics in spontaneous fermentation permits the characterization of spontaneous fermentation in different stages. Also, it demonstrates the possibility of modulating the quality of cocoa by improving the spontaneous fermentation time (because of volatile aromatic compounds formation), thus standardizing the process to obtain attributes and quality that will later impact the chocolate quality.
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Affiliation(s)
- César R Balcázar-Zumaeta
- Instituto de Investigación, Innovación y Desarrollo para el Sector Agrario y Agroindustrial de la Región Amazonas (IIDAA), Facultad de Ingeniería y Ciencias Agrarias, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Calle Higos Urco 342-350-356, Chachapoyas, Amazonas, Peru.
| | - Efraín M Castro-Alayo
- Instituto de Investigación, Innovación y Desarrollo para el Sector Agrario y Agroindustrial de la Región Amazonas (IIDAA), Facultad de Ingeniería y Ciencias Agrarias, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Calle Higos Urco 342-350-356, Chachapoyas, Amazonas, Peru.
| | - Ilse S Cayo-Colca
- Facultad de Ingeniería Zootecnista, Agronegocios y Biotecnología, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Calle Higos Urco 342-350-356, Chachapoyas, Amazonas, Peru.
| | - Guillermo Idrogo-Vásquez
- Instituto de Investigación, Innovación y Desarrollo para el Sector Agrario y Agroindustrial de la Región Amazonas (IIDAA), Facultad de Ingeniería y Ciencias Agrarias, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Calle Higos Urco 342-350-356, Chachapoyas, Amazonas, Peru.
| | - Lucas D Muñoz-Astecker
- Instituto de Investigación, Innovación y Desarrollo para el Sector Agrario y Agroindustrial de la Región Amazonas (IIDAA), Facultad de Ingeniería y Ciencias Agrarias, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Calle Higos Urco 342-350-356, Chachapoyas, Amazonas, Peru.
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26
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Lacalle-Bergeron L, Izquierdo-Sandoval D, Sancho JV, Portolés T. Discovery of Food Intake Biomarkers Using Metabolomics. Methods Mol Biol 2023; 2571:33-43. [PMID: 36152148 DOI: 10.1007/978-1-0716-2699-3_4] [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] [Indexed: 06/16/2023]
Abstract
Due to the high impact of diet exposure on health, it is crucial the generation of robust data of regular dietary intake, hence improving the accuracy of dietary assessment. The metabolites derived from individual food or group of food have great potential to become biomarkers of food intake (BFIs) and provide more objective food consumption measurements.Herein, it is presented an untargeted metabolomic workflow for the discovery BFIs in blood and urine samples, from the study design to the biomarker identification. Samples are analyzed by liquid chromatography coupled to high-resolution mass spectrometry (LC-HRMS). A wide variety of compounds are covered by separate analyses of medium to nonpolar molecules and polar metabolites based on two LC separations as well as both positive and negative electrospray ionization. The main steps of data treatment of the comprehensive data sets and statistical analysis are described, as well as the principal considerations for the BFI identification.
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Affiliation(s)
- Leticia Lacalle-Bergeron
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Castellón de la Plana, Spain
| | - David Izquierdo-Sandoval
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Castellón de la Plana, Spain
| | - Juan V Sancho
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Castellón de la Plana, Spain
| | - Tania Portolés
- Enviromental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water (IUPA), Universitat Jaume I, Castellón de la Plana, Spain.
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27
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Hu R, Li Y, Yang Y, Liu M. Mass spectrometry-based strategies for single-cell metabolomics. MASS SPECTROMETRY REVIEWS 2023; 42:67-94. [PMID: 34028064 DOI: 10.1002/mas.21704] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 05/05/2021] [Accepted: 05/11/2021] [Indexed: 06/12/2023]
Abstract
Single cell analysis has drawn increasing interest from the research community due to its capability to interrogate cellular heterogeneity, allowing refined tissue classification and facilitating novel biomarker discovery. With the advancement of relevant instruments and techniques, it is now possible to perform multiple omics including genomics, transcriptomics, metabolomics or even proteomics at single cell level. In comparison with other omics studies, single-cell metabolomics (SCM) represents a significant challenge since it involves many types of dynamically changing compounds with a wide range of concentrations. In addition, metabolites cannot be amplified. Although difficult, considerable progress has been made over the past decade in mass spectrometry (MS)-based SCM in terms of processing technologies and biochemical applications. In this review, we will summarize recent progress in the development of promising MS platforms, sample preparation methods and SCM analysis of various cell types (including plant cell, cancer cell, neuron, embryo cell, and yeast cell). Current limitations and future research directions in the field of SCM will also be discussed.
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Affiliation(s)
- Rui Hu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Ying Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yunhuang Yang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Maili Liu
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences-Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China
- University of Chinese Academy of Sciences, Beijing, China
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28
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Pillai MS, Paritala ST, Shah RP, Sharma N, Sengupta P. Cutting-edge strategies and critical advancements in characterization and quantification of metabolites concerning translational metabolomics. Drug Metab Rev 2022; 54:401-426. [PMID: 36351878 DOI: 10.1080/03602532.2022.2125987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Despite remarkable progress in drug discovery strategies, significant challenges are still remaining in translating new insights into clinical applications. Scientists are devising creative approaches to bridge the gap between scientific and translational research. Metabolomics is a unique field among other omics techniques for identifying novel metabolites and biomarkers. Fortunately, characterization and quantification of metabolites are becoming faster due to the progress in the field of orthogonal analytical techniques. This review detailed the advancement in the progress of sample preparation, and data processing techniques including data mining tools, database, and their quality control (QC). Advances in data processing tools make it easier to acquire unbiased data that includes a diverse set of metabolites. In addition, novel breakthroughs including, miniaturization as well as their integration with other devices, metabolite array technology, and crystalline sponge-based method have led to faster, more efficient, cost-effective, and holistic metabolomic analysis. The use of cutting-edge techniques to identify the human metabolite, including biomarkers has proven to be advantageous in terms of early disease identification, tracking the progression of illness, and possibility of personalized treatments. This review addressed the constraints of current metabolomics research, which are impeding the facilitation of translation of research from bench to bedside. Nevertheless, the possible way out from such constraints and future direction of translational metabolomics has been conferred.
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Affiliation(s)
- Megha Sajakumar Pillai
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
| | - Sree Teja Paritala
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
| | - Ravi P Shah
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
| | - Nitish Sharma
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
| | - Pinaki Sengupta
- Department of Pharmaceutical Analysis, National Institute of Pharmaceutical Education and Research (NIPER), Ahmedabad, India
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29
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Nguyen N, Jennen D, Kleinjans J. Omics technologies to understand drug toxicity mechanisms. Drug Discov Today 2022; 27:103348. [PMID: 36089240 DOI: 10.1016/j.drudis.2022.103348] [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: 03/22/2022] [Revised: 07/18/2022] [Accepted: 09/04/2022] [Indexed: 11/26/2022]
Abstract
Drug side effects are an important study subject in pharmacology. Recent omics technologies provide a range of omics data and help to understand the biological mechanisms involved in drug effects. These modern technologies provide significant support to all biological disciplines, including drug toxicology. In this review, we provide an overview the use of omics applications to understand drug side effects at the molecular level. We discuss by available omics technologies, their possible uses, as well as their advantages and limitations.
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Affiliation(s)
- Nhan Nguyen
- Department of Toxicogenomics, GROW School for Oncology and Reproduction, Maastricht University, Maastricht 6229ER, the Netherlands
| | - Danyel Jennen
- Department of Toxicogenomics, GROW School for Oncology and Reproduction, Maastricht University, Maastricht 6229ER, the Netherlands.
| | - Jos Kleinjans
- Department of Toxicogenomics, GROW School for Oncology and Reproduction, Maastricht University, Maastricht 6229ER, the Netherlands
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30
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Structural Investigation of Betulinic Acid Plasma Metabolites by Tandem Mass Spectrometry. Molecules 2022; 27:molecules27217359. [PMID: 36364186 PMCID: PMC9656950 DOI: 10.3390/molecules27217359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 10/21/2022] [Accepted: 10/26/2022] [Indexed: 12/05/2022] Open
Abstract
Betulinic acid (BA) has been extensively studied in recent years mainly for its antiproliferative and antitumor effect in various types of cancers. Limited data are available regarding the pharmacokinetic profile of BA, particularly its metabolic transformation in vivo. In this study, we present the screening and structural investigations by ESI Orbitrap MS in the negative ion mode and CID MS/MS of phase I and phase II metabolites detected in mouse plasma after the intraperitoneal administration of a nanoemulsion containing BA in SKH 1 female mice. Obtained results indicate that the main phase I metabolic reactions that BA undergoes are monohydroxylation, dihydroxylation, oxidation and hydrogenation, while phase II reactions involved sulfation, glucuronidation and methylation. The fragmentation pathway for BA and its plasma metabolites were elucidated by sequencing of the precursor ions by CID MS MS experiments.
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31
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Bort A, G. Sánchez B, León C, Nozal L, Mora-Rodríguez JM, Castro F, Crego AL, Díaz-Laviada I. Metabolic fingerprinting of chemotherapy-resistant prostate cancer stem cells. An untargeted metabolomic approach by liquid chromatography-mass spectrometry. Front Cell Dev Biol 2022; 10:1005675. [PMID: 36325358 PMCID: PMC9618794 DOI: 10.3389/fcell.2022.1005675] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
Chemoresistance is one of the most important challenges in cancer therapy. The presence of cancer stem cells within the tumor may contribute to chemotherapy resistance since these cells express high levels of extrusion pumps and xenobiotic metabolizing enzymes that inactivate the therapeutic drug. Despite the recent advances in cancer cell metabolism adaptations, little is known about the metabolic adaptations of the cancer stem cells resistant to chemotherapy. In this study, we have undertaken an untargeted metabolomic analysis by liquid chromatography–high-resolution spectrometry combined with cytotoxicity assay, western blot, quantitative real-time polymerase chain reaction (qPCR), and fatty acid oxidation in a prostate cancer cell line resistant to the antiandrogen 2-hydroxiflutamide with features of cancer stem cells, compared to its parental androgen-sensitive cell line. Metabolic fingerprinting revealed 106 out of the 850 metabolites in ESI+ and 67 out of 446 in ESI- with significant differences between the sensitive and the resistant cell lines. Pathway analysis performed with the unequivocally identified metabolites, revealed changes in pathways involved in energy metabolism as well as posttranscriptional regulation. Validation by enzyme expression analysis indicated that the chemotherapy-resistant prostate cancer stem cells were metabolically dormant with decreased fatty acid oxidation, methionine metabolism and ADP-ribosylation. Our results shed light on the pathways underlying the entry of cancer cells into dormancy that might contribute to the mechanisms of drug resistance.
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Affiliation(s)
- Alicia Bort
- Yale University School of Medicine, Vascular Biology and Therapeutics Program, New Haven, CT, United states
| | - Belén G. Sánchez
- Alcala University, School of Medicine, Department of Systems Biology and Research Institute in Chemistry “Andrés M. Del Río” (IQAR), Madrid, Spain
| | - Carlos León
- Carlos III University, Department of Bioengineering and Aerospatial Engineering, Madrid, Spain
| | - Leonor Nozal
- Alcala University and General Foundation of Alcalá University, Center of Applied Chemistry and Biotechnology, Madrid, Spain
| | - José M. Mora-Rodríguez
- Alcala University, School of Medicine, Department of Systems Biology and Research Institute in Chemistry “Andrés M. Del Río” (IQAR), Madrid, Spain
| | - Florentina Castro
- Alcala University and General Foundation of Alcalá University, Center of Applied Chemistry and Biotechnology, Madrid, Spain
| | - Antonio L. Crego
- Alcala University, Department of Analytical Chemistry, Physical Chemistry and Chemical Engineering, Madrid, Spain
- *Correspondence: Antonio L. Crego, ; Inés Díaz-Laviada,
| | - Inés Díaz-Laviada
- Alcala University, School of Medicine, Department of Systems Biology and Research Institute in Chemistry “Andrés M. Del Río” (IQAR), Madrid, Spain
- *Correspondence: Antonio L. Crego, ; Inés Díaz-Laviada,
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Innovative Application of Metabolomics on Bioactive Ingredients of Foods. Foods 2022; 11:foods11192974. [PMID: 36230049 PMCID: PMC9562173 DOI: 10.3390/foods11192974] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/12/2022] [Accepted: 09/20/2022] [Indexed: 11/17/2022] Open
Abstract
Metabolomics, as a new omics technology, has been widely accepted by researchers and has shown great potential in the field of nutrition and health in recent years. This review briefly introduces the process of metabolomics analysis, including sample preparation and extraction, derivatization, separation and detection, and data processing. This paper focuses on the application of metabolomics in food-derived bioactive ingredients. For example, metabolomics techniques are used to analyze metabolites in food to find bioactive substances or new metabolites in food materials. Moreover, bioactive substances have been tested in vitro and in vivo, as well as in humans, to investigate the changes of metabolites and the underlying metabolic pathways, among which metabolomics is used to find potential biomarkers and targets. Metabolomics provides a new approach for the prevention and regulation of chronic diseases and the study of the underlying mechanisms. It also provides strong support for the development of functional food or drugs. Although metabolomics has some limitations such as low sensitivity, poor repeatability, and limited detection range, it is developing rapidly in general, and also in the field of nutrition and health. At the end of this paper, we put forward our own insights on the development prospects of metabolomics in the application of bioactive ingredients in food.
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Bioactive Compounds from Marine Sponges and Algae: Effects on Cancer Cell Metabolome and Chemical Structures. Int J Mol Sci 2022; 23:ijms231810680. [PMID: 36142592 PMCID: PMC9502410 DOI: 10.3390/ijms231810680] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 09/04/2022] [Accepted: 09/08/2022] [Indexed: 11/17/2022] Open
Abstract
Metabolomics represent the set of small organic molecules generally called metabolites, which are located within cells, tissues or organisms. This new “omic” technology, together with other similar technologies (genomics, transcriptomics and proteomics) is becoming a widely used tool in cancer research, aiming at the understanding of global biology systems in their physiologic or altered conditions. Cancer is among the most alarming human diseases and it causes a considerable number of deaths each year. Cancer research is one of the most important fields in life sciences. In fact, several scientific advances have been made in recent years, aiming to illuminate the metabolism of cancer cells, which is different from that of healthy cells, as suggested by Otto Warburg in the 1950s. Studies on sponges and algae revealed that these organisms are the main sources of the marine bioactive compounds involved in drug discovery for cancer treatment and prevention. In this review, we analyzed these two promising groups of marine organisms to focus on new metabolomics approaches for the study of metabolic changes in cancer cell lines treated with chemical extracts from sponges and algae, and for the classification of the chemical structures of bioactive compounds that may potentially prove useful for specific biotechnological applications.
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Metabolomic profiling of intrauterine growth-restricted preterm infants: a matched case-control study. Pediatr Res 2022; 93:1599-1608. [PMID: 36085367 DOI: 10.1038/s41390-022-02292-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 08/09/2022] [Accepted: 08/22/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND The biochemical variations occurring in intrauterine growth restriction (IUGR), when a fetus is unable to achieve its genetically determined potential, are not fully understood. The aim of this study is to compare the urinary metabolomic profile between IUGR and non-IUGR very preterm infants to investigate the biochemical adaptations of neonates affected by early-onset-restricted intrauterine growth. METHODS Neonates born <32 weeks of gestation admitted to neonatal intensive care unit (NICU) were enrolled in this prospective matched case-control study. IUGR was diagnosed by an obstetric ultra-sonographer and all relevant clinical data during NICU stay were captured. For each subject, a urine sample was collected within 48 h of life and underwent untargeted metabolomic analysis using mass spectrometry ultra-performance liquid chromatography. Data were analyzed using multivariate and univariate statistical analyses. RESULTS Among 83 enrolled infants, 15 IUGR neonates were matched with 19 non-IUGR controls. Untargeted metabolomic revealed evident clustering of IUGR neonates versus controls showing derangements of pathways related to tryptophan and histidine metabolism and aminoacyl-tRNA and steroid hormones biosynthesis. CONCLUSIONS Neonates with IUGR showed a distinctive urinary metabolic profile at birth. Although results are preliminary, metabolomics is proving to be a promising tool to explore biochemical pathways involved in this disease. IMPACT Very preterm infants with intrauterine growth restriction (IUGR) have a distinctive urinary metabolic profile at birth. Metabolism of glucocorticoids, sexual hormones biosynthesis, tryptophan-kynurenine, and methionine-cysteine pathways seem to operate differently in this sub-group of neonates. This is the first metabolomic study investigating adaptations exclusively in extremely and very preterm infants affected by early-onset IUGR. New knowledge on metabolic derangements in IUGR may pave the ways to further, more tailored research from a perspective of personalized medicine.
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35
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Bauman JS, Pizzey R, Beckmann M, Villarreal-Ramos B, King J, Hopkins B, Rooke D, Hewinson G, Mur LAJ. Untargeted metabolomic analysis of thoracic blood from badgers indicate changes linked to infection with bovine tuberculosis (Mycobacterium bovis): a pilot study. Metabolomics 2022; 18:61. [PMID: 35896834 PMCID: PMC9329164 DOI: 10.1007/s11306-022-01915-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 06/27/2022] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Mycobacterium bovis, the causative agent of bovine tuberculosis (bTB) in cattle, represents a major disease burden to UK cattle farming, with considerable costs associated with its control. The European badger (Meles meles) is a known wildlife reservoir for bTB and better knowledge of the epidemiology of bTB through testing wildlife is required for disease control. Current tests available for the diagnosis of bTB in badgers are limited by cost, processing time or sensitivities. MATERIALS AND METHODS We assessed the ability of flow infusion electrospray-high-resolution mass spectrometry (FIE-HRMS) to determine potential differences between infected and non-infected badgers based on thoracic blood samples obtained from badgers found dead in Wales. Thoracic blood samples were autoclaved for handling in a containment level 2 (CL2) hazard laboratory. RESULTS Here we show the major differences associated with with M. bovis infection were changes to folate, pyrimidine, histidine, glycerophospholipid and phosphonate metabolism. CONCLUSIONS Our studies have indicated differences in the metabolomic signature of badgers found dead in relation to their infection status, suggesting metabolomics could hold potential for developing novel diagnostics for bTB in badgers. As well as highlighting a potential way to handle samples containing a highly pathogenic agent at CL2 for metabolomics studies.
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Affiliation(s)
- James Scott Bauman
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
| | - Richard Pizzey
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
| | - Manfred Beckmann
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
| | - Bernardo Villarreal-Ramos
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
- Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth, SY23 3AR, Ceredigion, UK
- TB Research Group, Animal and Plant Health Agency, New Haw, Addlestone, KT15 3NB, Surrey, UK
| | - Jonathan King
- Wales Veterinary Science Centre, Y Buarth, Aberystwyth, SY23 1ND, Ceredigion, UK
| | - Beverley Hopkins
- Wales Veterinary Science Centre, Y Buarth, Aberystwyth, SY23 1ND, Ceredigion, UK
| | | | - Glyn Hewinson
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
- Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Aberystwyth, SY23 3AR, Ceredigion, UK
| | - Luis A J Mur
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK.
- Aberystwyth University, B2.03 Edward Llwyd, Penglais, Aberystwyth, SY23 3FL, UK.
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Wang Y, Zhu X, Wang K, Cai Y, Liu C, Pan J, Sun J, Liu T, Huang Y, Li Y, Lu Y. Cell Metabolomics Study on Synergistic anti-Hepatocellular Carcinoma Effect of Aidi Injection Combined with Doxorubicin. Biomed Chromatogr 2022; 36:e5451. [PMID: 35848595 DOI: 10.1002/bmc.5451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 07/11/2022] [Accepted: 07/12/2022] [Indexed: 11/06/2022]
Abstract
Hepatocellular carcinoma (HCC) is the sixth most common cancer worldwide and the second most common cause of cancer deaths. This study aimed to explore the inhibitory effect and mechanism of Aidi injection (ADI) combined with doxorubicin (DOX) in HCC treatment. The drug concentrations in combined threapy was determined by investigating the effect of various concentrations of ADI and DOX on the viability of H22 cells. The combination index (CI) was also calculated. A metabolomic strategy based on ultrahigh performance liquid chromatography tandem mass spectrometry (UHPLC-MS/MS) platform was established to analyze the metabolites. As a result, the CI values were less than 1, indicating that the combination of ADI and DOX exerted a synergistic effect on HCC treatment. The combination of 40‰ ADI and 1 μmol/L DOX had the strongest inhibitory effect and was used for subsequent metabolomic analysis. A total of 19 metabolic markers were obtained in metabolomic analysis, including amino acids (L-glutamic acid, L-arginine, and L-tyrosine), organic acids (succinic acid and citric acid), adenosine, and hypoxanthine , etc. Compared with the treatment using DOX or ADI alone, the combined therapy further regulated the levels of metabolic markers in HCC, which may be the reason for the synergistic effect. Seven metabolic pathways were significantly enriched, including phenylalanine, tyrosine and tryptophan biosynthesis, D-glutamine and D-glutamate metabolism, alanine, aspartate and glutamate metabolism, phenylalanine metabolism, arginine biosynthesis, tricarboxylic acid (TCA) cycle, and purine metabolism. These findings demonstrated that ADI combined with DOX can effectively inhibit the viability of H22 cells, which may exert a synergistic anti-tumor effect by balancing the metabolism of amino acids and energy-related substances.
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Affiliation(s)
- Yanli Wang
- State Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Provincial Key Laboratory of Pharmaceutics, Guizhou Medical University, Guiyang, China.,School of Pharmacy, Guizhou Medical University, Guiyang, China
| | - Xiaoqing Zhu
- School of Pharmacy, Guizhou Medical University, Guiyang, China
| | - Kailiang Wang
- School of Pharmacy, Guizhou Medical University, Guiyang, China
| | - Ying Cai
- School of Pharmacy, Guizhou Medical University, Guiyang, China
| | - Chunhua Liu
- Engineering Research Center for the Development and Application of Ethnic Medicine and TCM (Ministry of Education), Guizhou Medical University, Guiyang, China
| | - Jie Pan
- Engineering Research Center for the Development and Application of Ethnic Medicine and TCM (Ministry of Education), Guizhou Medical University, Guiyang, China
| | - Jia Sun
- State Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Provincial Key Laboratory of Pharmaceutics, Guizhou Medical University, Guiyang, China
| | - Ting Liu
- State Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Provincial Key Laboratory of Pharmaceutics, Guizhou Medical University, Guiyang, China
| | - Yong Huang
- State Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Provincial Key Laboratory of Pharmaceutics, Guizhou Medical University, Guiyang, China
| | - Yongjun Li
- Engineering Research Center for the Development and Application of Ethnic Medicine and TCM (Ministry of Education), Guizhou Medical University, Guiyang, China.,School of Pharmacy, Guizhou Medical University, Guiyang, China
| | - Yuan Lu
- State Key Laboratory of Functions and Applications of Medicinal Plants, Guizhou Provincial Key Laboratory of Pharmaceutics, Guizhou Medical University, Guiyang, China
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Gimeno I, García-Manrique P, Carrocera S, López-Hidalgo C, Muñoz M, Valledor L, Martín-González D, Gómez E. Non-Invasive Identification of Sex in Cultured Bovine Embryos by UHPLC-MS/MS Metabolomics. Metabolomics 2022; 18:53. [PMID: 35842860 DOI: 10.1007/s11306-022-01910-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 06/15/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Different gene expression between male and female bovine embryos leads to metabolic differences. OBJECTIVE We used UHPLC-MS/MS to identify sex metabolite biomarkers in embryo culture medium (CM). METHODS Embryos were produced in vitro under highly variable conditions, i.e., fertilized with 7 bulls, two breeds, and cultured with BSA or BSA + serum until Day-6. On Day-6, embryos were cultured individually for 24 h. CM of Day-7 embryos (86 female and 81 male) was collected, and Day-6 and Day-7 embryonic stages recorded. RESULTS A study by sample subsets with fixed factors (culture, bull breed, and Day-6 and Day-7 stages) tentatively identified 31 differentially accumulated metabolites through 182 subsets. Day-6 and Day-7 stage together affected 13 and 11 metabolites respectively, while 19 metabolites were affected by one or another stage and/or day. Culture supplements and individual bull changed 19 and 15 metabolites, respectively. Single bull exerted the highest influence (20 metabolites with the significantly highest p values). Lipid (93 subsets; 11 metabolites) and amino acid (55 subsets; 13 metabolites) were the most relevant classes for sex identification. CONCLUSIONS Single biomarker led to inefficient sex diagnosis, while metabolite combinations accurately identified sex. Our study is a first in non-invasive sex identification in cattle by overcoming factors that induce metabolic variation.
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Affiliation(s)
- Isabel Gimeno
- Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Centro de Biotecnología Animal, Camino de Rioseco 1225, 33394, Gijón, Spain
| | - Pablo García-Manrique
- Molecular Mass Spectrometry Unit, Scientific and Technical Services, University of Oviedo, Catedrático Rodrigo Uria s/n, 33006, Oviedo, Spain
| | - Susana Carrocera
- Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Centro de Biotecnología Animal, Camino de Rioseco 1225, 33394, Gijón, Spain
| | - Cristina López-Hidalgo
- Department of Organisms and Systems Biology, University Institute of Biotechnology of Asturias (IUBA), University of Oviedo, Catedrático Rodrigo Uria s/n, 33006, Oviedo, Spain
| | - Marta Muñoz
- Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Centro de Biotecnología Animal, Camino de Rioseco 1225, 33394, Gijón, Spain
| | - Luis Valledor
- Department of Organisms and Systems Biology, University Institute of Biotechnology of Asturias (IUBA), University of Oviedo, Catedrático Rodrigo Uria s/n, 33006, Oviedo, Spain
| | - David Martín-González
- Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Centro de Biotecnología Animal, Camino de Rioseco 1225, 33394, Gijón, Spain
| | - Enrique Gómez
- Servicio Regional de Investigación y Desarrollo Agroalimentario (SERIDA), Centro de Biotecnología Animal, Camino de Rioseco 1225, 33394, Gijón, Spain.
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Villagrana-Bañuelos KE, Galván-Tejada CE, Galván-Tejada JI, Gamboa-Rosales H, Celaya-Padilla JM, Soto-Murillo MA, Solís-Robles R. Machine Learning Model Based on Lipidomic Profile Information to Predict Sudden Infant Death Syndrome. Healthcare (Basel) 2022; 10:healthcare10071303. [PMID: 35885829 PMCID: PMC9317003 DOI: 10.3390/healthcare10071303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/03/2022] [Accepted: 07/09/2022] [Indexed: 11/16/2022] Open
Abstract
Sudden infant death syndrome (SIDS) represents the leading cause of death in under one year of age in developing countries. Even in our century, its etiology is not clear, and there is no biomarker that is discriminative enough to predict the risk of suffering from it. Therefore, in this work, taking a public dataset on the lipidomic profile of babies who died from this syndrome compared to a control group, a univariate analysis was performed using the Mann–Whitney U test, with the aim of identifying the characteristics that enable discriminating between both groups. Those characteristics with a p-value less than or equal to 0.05 were taken; once these characteristics were obtained, classification models were implemented (random forests (RF), logistic regression (LR), support vector machine (SVM) and naive Bayes (NB)). We used seventy percent of the data for model training, subjecting it to a cross-validation (k = 5) and later submitting to validation in a blind test with 30% of the remaining data, which allows simulating the scenario in real life—that is, with an unknown population for the model. The model with the best performance was RF, since in the blind test, it obtained an AUC of 0.9, specificity of 1, and sensitivity of 0.8. The proposed model provides the basis for the construction of a SIDS risk prediction computer tool, which will contribute to prevention, and proposes lines of research to deal with this pathology.
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Han X, Wang J, Gu H, Guo H, Cai Y, Liao X, Jiang M. Predictive value of serum bile acids as metabolite biomarkers for liver cirrhosis: a systematic review and meta-analysis. Metabolomics 2022; 18:43. [PMID: 35759044 DOI: 10.1007/s11306-022-01890-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 04/19/2022] [Indexed: 12/01/2022]
Abstract
INTRODUCTION A large number of studies have explored the potential biomarkers for detecting liver cirrhosis in an early stage, yet consistent conclusions are still warranted. OBJECTIVES To conduct a review and a meta-analysis of the existing studies that test the serum level of bile acids in cirrhosis as the potential biomarkers to predict cirrhosis. METHODS Six databases had been searched from inception date to April 12, 2021. Screening and selection of the records were based on the inclusion criteria. The risk of bias was assessed with the Newcastle-Ottawa quality assessment scale (NOS). Mean difference (MD) and confidence intervals 95% (95% CI) were calculated by using the random effect model for the concentrations of bile acids in the meta-analysis, and I2 statistic was used to measure studies heterogeneity. This study was registered on PROSPERO. RESULTS A total of 1583 records were identified and 31 studies with 2679 participants (1263 in the cirrhosis group, 1416 in the healthy control group) were included. The quality of included studies was generally high, with 25 studies (80.6%) rated over 7 stars. A total of 45 bile acids or their ratios in included studies were extracted. 36 increased in the cirrhosis group compared with those of the healthy controls by a qualitative summary, 5 decreased and 4 presented with mixing results. The result of meta-analysis among 12 studies showed that 13 bile acids increased, among which four primary conjugated bile acids showed the most significant elevation in the cirrhosis group: GCDCA (MD = 11.38 μmol/L, 95% CI 8.21-14.55, P < 0.0001), GCA (MD = 5.72 μmol/L, 95% CI 3.47-7.97, P < 0.0001), TCDCA (MD = 3.57 μmol/L, 95% CI 2.64-4.49, P < 0.0001) and TCA (MD = 2.14 μmol/L, 95% CI 1.56-2.72, P < 0.0001). No significant differences were found between the two groups in terms of DCA (MD = - 0.1 μmol/L, 95% CI - 0.18 to - 0.01, P < 0.0001) and LCA (MD = - 0.01 μmol/L, 95% CI - 0.01 to - 0.02, P < 0.0001), UDCA (MD = - 0.14 μmol/L, 95% CI - 0.04 to - 0.32, P < 0.0001), and TLCA (MD = 0 μmol/L, 95% CI 0-0.01, P < 0.0001). Subgroup analysis in patients with hepatitis B cirrhosis showed similar results. CONCLUSION Altered serum bile acids profile seems to be associated with cirrhosis. Some specific bile acids (GCA, GCDCA, TCA, and TCDCA) may increase with the development of cirrhosis, which possibly underlay their potential role as predictive biomarkers for cirrhosis. Yet this predictive value still needs further investigation and validation in larger prospective cohort studies.
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Affiliation(s)
- Xu Han
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing, 100700, China
| | - Juan Wang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing, 100700, China
| | - Hao Gu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing, 100700, China
| | - Hongtao Guo
- Department of Rheumatology and Immunology, The First Affiliated Hospital of Henan University of CM, Zhengzhou, China
| | - Yili Cai
- Ningbo First Hospital, Ningbo, China
| | - Xing Liao
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing, 100700, China.
| | - Miao Jiang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, No. 16 Nanxiaojie, Dongzhimennei, Beijing, 100700, China.
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Gao Y, Jiang D, Wang C, An G, Zhu L, Cui C. Comprehensive Analysis of Metabolic Changes in Male Mice Exposed to Sodium Valproate Based on GC-MS Analysis. Drug Des Devel Ther 2022; 16:1915-1930. [PMID: 35747443 PMCID: PMC9211130 DOI: 10.2147/dddt.s357530] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 05/31/2022] [Indexed: 11/23/2022] Open
Abstract
Purpose Sodium valproate (VPA) is the most widely used broad-spectrum antiepileptic first-line drug in clinical practice and is effective against various types of epilepsy. However, VPA can induce severe cardiotoxicity, nephrotoxicity, hepatotoxicity, and neurotoxicity, which limits its use. Metabolomic studies of VPA-induced toxicity have focused primarily on changes in serum and urine metabolites but have not evaluated changes in major organs or tissues. Methods Central target tissues (intestine, lung, liver, hippocampus, cerebral cortex, inner ear, spleen, kidney, heart, and serum) were analyzed using gas chromatography mass spectrometry to comprehensively evaluate VPA toxicity in mouse models. Results Multivariate analyses, including orthogonal projections of the latent structure and Student’s t test, indicated that depending on the matrix used in the study (the intestine, lung, liver, hippocampus, cerebral cortex, inner ear, spleen, kidney, heart or serum) the number of metabolites differed, the lung being the poorest and the kidney the richest in number. Conclusion These metabolites were closely related and were found to participate in 12 key pathways related to amino acid, fatty acid, and energy metabolism, revealing that the toxic mechanism of VPA may involve oxidative stress, inflammation, amino acid metabolism, lipid metabolism, and energy disorder.
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Affiliation(s)
- Yahao Gao
- Clinical Medical School, Jining Medical University, Jining, Shandong, People’s Republic of China
| | - Di Jiang
- Cheeloo College of Medicine, Shandong University, Jinan, Shandong, People’s Republic of China
| | - Changshui Wang
- Department of Neurosurgery, Affiliated Hospital of Jining Medical University, Jining, People’s Republic of China
| | - Gang An
- Clinical Medical School, Jining Medical University, Jining, Shandong, People’s Republic of China
| | - Li Zhu
- Department of Clinical Pharmacy, Jining First People’s Hospital, Jining Medical University, Jining, Shandong, People’s Republic of China
| | - Changmeng Cui
- Department of Neurosurgery, Affiliated Hospital of Jining Medical University, Jining, People’s Republic of China
- Correspondence: Changmeng Cui, Department of Neurosurgery, Affiliated Hospital of Jining Medical University, 89 Guhuai Road, Jining, Shandong, 272000, People’s Republic of China, Tel +8617805378911, Email
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Bueschl C, Doppler M, Varga E, Seidl B, Flasch M, Warth B, Zanghellini J. PeakBot: Machine learning based chromatographic peak picking. Bioinformatics 2022; 38:3422-3428. [PMID: 35604083 PMCID: PMC9237678 DOI: 10.1093/bioinformatics/btac344] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 04/12/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022] Open
Abstract
Motivation Chromatographic peak picking is among the first steps in data processing workflows of raw LC-HRMS datasets in untargeted metabolomics applications. Its performance is crucial for the holistic detection of all metabolic features as well as their relative quantification for statistical analysis and metabolite identification. Random noise, non-baseline separated compounds and unspecific background signals complicate this task. Results A machine-learning-based approach entitled PeakBot was developed for detecting chromatographic peaks in LC-HRMS profile-mode data. It first detects all local signal maxima in a chromatogram, which are then extracted as super-sampled standardized areas (retention-time versus m/z). These are subsequently inspected by a custom-trained convolutional neural network that forms the basis of PeakBot’s architecture. The model reports if the respective local maximum is the apex of a chromatographic peak or not as well as its peak center and bounding box. In training and independent validation datasets used for development, PeakBot achieved a high performance with respect to discriminating between chromatographic peaks and background signals (accuracy of 0.99). For training the machine-learning model a minimum of 100 reference features are needed to learn their characteristics to achieve high-quality peak-picking results for detecting such chromatographic peaks in an untargeted fashion. PeakBot is implemented in python (3.8) and uses the TensorFlow (2.5.0) package for machine-learning related tasks. It has been tested on Linux and Windows OSs. Availability and implementation The package is available free of charge for non-commercial use (CC BY-NC-SA). It is available at https://github.com/christophuv/PeakBot. Supplementary information Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Christoph Bueschl
- Department of Analytical Chemistry, University of Vienna, Waehringer Str. 40, A-1090 Vienna.,University of Natural Resources and Life Sciences, Vienna, Department of Agrobiotechnology IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, Konrad-Lorenz-Str. 20, A-3430 Tulln
| | - Maria Doppler
- University of Natural Resources and Life Sciences, Vienna, Department of Agrobiotechnology IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, Konrad-Lorenz-Str. 20, A-3430 Tulln.,University of Natural Resources and Life Sciences, Vienna, Core Facility Bioactive Molecules: Screening and Analysis, Konrad-Lorenz-Str. 20, A-3430 Tulln
| | - Elisabeth Varga
- Department of Food Chemistry and Toxicology, University of Vienna, Waehringer Str. 38, A-1090 Vienna
| | - Bernhard Seidl
- University of Natural Resources and Life Sciences, Vienna, Department of Agrobiotechnology IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, Konrad-Lorenz-Str. 20, A-3430 Tulln
| | - Mira Flasch
- Department of Food Chemistry and Toxicology, University of Vienna, Waehringer Str. 38, A-1090 Vienna
| | - Benedikt Warth
- Department of Food Chemistry and Toxicology, University of Vienna, Waehringer Str. 38, A-1090 Vienna
| | - Juergen Zanghellini
- Department of Analytical Chemistry, University of Vienna, Waehringer Str. 40, A-1090 Vienna
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Xia Y, Liu J, Chen C, Mo X, Tan Q, He Y, Wang Z, Yin J, Zhou G. The Multifunctions and Future Prospects of Endophytes and Their Metabolites in Plant Disease Management. Microorganisms 2022; 10:microorganisms10051072. [PMID: 35630514 PMCID: PMC9146654 DOI: 10.3390/microorganisms10051072] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 05/19/2022] [Accepted: 05/21/2022] [Indexed: 01/27/2023] Open
Abstract
Endophytes represent a ubiquitous and magical world in plants. Almost all plant species studied by different researchers have been found to harbor one or more endophytes, which protect host plants from pathogen invasion and from adverse environmental conditions. They produce various metabolites that can directly inhibit the growth of pathogens and even promote the growth and development of the host plants. In this review, we focus on the biological control of plant diseases, aiming to elucidate the contribution and key roles of endophytes and their metabolites in this field with the latest research information. Metabolites synthesized by endophytes are part of plant disease management, and the application of endophyte metabolites to induce plant resistance is very promising. Furthermore, multi-omics should be more fully utilized in plant–microbe research, especially in mining novel bioactive metabolites. We believe that the utilization of endophytes and their metabolites for plant disease management is a meaningful and promising research direction that can lead to new breakthroughs in the development of more effective and ecosystem-friendly insecticides and fungicides in modern agriculture.
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Affiliation(s)
- Yandong Xia
- Key Laboratory of National Forestry and Grassland Administration on Control of Artificial Forest Diseases and Pests in South China, Hunan Provincial Key Laboratory for Control of Forest Diseases and Pests, Key Laboratory for Non-Wood Forest Cultivation and Conservation of Ministry of Education, College of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China; (Y.X.); (J.L.); (X.M.); (Q.T.); (Y.H.); (Z.W.)
| | - Junang Liu
- Key Laboratory of National Forestry and Grassland Administration on Control of Artificial Forest Diseases and Pests in South China, Hunan Provincial Key Laboratory for Control of Forest Diseases and Pests, Key Laboratory for Non-Wood Forest Cultivation and Conservation of Ministry of Education, College of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China; (Y.X.); (J.L.); (X.M.); (Q.T.); (Y.H.); (Z.W.)
| | - Cang Chen
- College of Life Science, Hunan Normal University, Changsha 410081, China;
| | - Xiuli Mo
- Key Laboratory of National Forestry and Grassland Administration on Control of Artificial Forest Diseases and Pests in South China, Hunan Provincial Key Laboratory for Control of Forest Diseases and Pests, Key Laboratory for Non-Wood Forest Cultivation and Conservation of Ministry of Education, College of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China; (Y.X.); (J.L.); (X.M.); (Q.T.); (Y.H.); (Z.W.)
| | - Qian Tan
- Key Laboratory of National Forestry and Grassland Administration on Control of Artificial Forest Diseases and Pests in South China, Hunan Provincial Key Laboratory for Control of Forest Diseases and Pests, Key Laboratory for Non-Wood Forest Cultivation and Conservation of Ministry of Education, College of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China; (Y.X.); (J.L.); (X.M.); (Q.T.); (Y.H.); (Z.W.)
| | - Yuan He
- Key Laboratory of National Forestry and Grassland Administration on Control of Artificial Forest Diseases and Pests in South China, Hunan Provincial Key Laboratory for Control of Forest Diseases and Pests, Key Laboratory for Non-Wood Forest Cultivation and Conservation of Ministry of Education, College of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China; (Y.X.); (J.L.); (X.M.); (Q.T.); (Y.H.); (Z.W.)
| | - Zhikai Wang
- Key Laboratory of National Forestry and Grassland Administration on Control of Artificial Forest Diseases and Pests in South China, Hunan Provincial Key Laboratory for Control of Forest Diseases and Pests, Key Laboratory for Non-Wood Forest Cultivation and Conservation of Ministry of Education, College of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China; (Y.X.); (J.L.); (X.M.); (Q.T.); (Y.H.); (Z.W.)
| | - Jia Yin
- College of Life Science, Hunan Normal University, Changsha 410081, China;
- Correspondence: (J.Y.); (G.Z.)
| | - Guoying Zhou
- Key Laboratory of National Forestry and Grassland Administration on Control of Artificial Forest Diseases and Pests in South China, Hunan Provincial Key Laboratory for Control of Forest Diseases and Pests, Key Laboratory for Non-Wood Forest Cultivation and Conservation of Ministry of Education, College of Life Science and Technology, Central South University of Forestry and Technology, Changsha 410004, China; (Y.X.); (J.L.); (X.M.); (Q.T.); (Y.H.); (Z.W.)
- Correspondence: (J.Y.); (G.Z.)
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Arruda MAZ, de Jesus JR, Blindauer CA, Stewart AJ. Speciomics as a concept involving chemical speciation and omics. J Proteomics 2022; 263:104615. [PMID: 35595056 DOI: 10.1016/j.jprot.2022.104615] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 04/29/2022] [Accepted: 05/03/2022] [Indexed: 10/18/2022]
Abstract
The study of chemical speciation and the refinement and expansion of omics-based methods are both consolidated and highly active research fields. Although well established, such fields are extremely dynamic and are driven by the emergence of new strategies and improvements in instrumentation. In the case of omics-based studies, subareas including lipidomics, proteomics, metallomics, metabolomics and foodomics have emerged. Here, speciomics is being proposed as an "umbrella" term, that incorporates all of these subareas, to capture studies where the evaluation of chemical species is carried out using omics approaches. This paper contextualizes both speciomics and the speciome, and reviews omics applications used for species identification through examination of proteins, metalloproteins, metabolites, and nucleic acids. In addition, some implications from such studies and a perspective for future development of this area are provided. SIGNIFICANCE: The synergic effect between chemical speciation and omics is highlighted in this work, demonstrating an emerging area of research with a multitude of possibilities in terms of applications and further developments. This work not only defines and contextualizes speciomics and individual speciomes, but also demonstrates with some examples the great potential of this new interdisciplinary area of research.
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Affiliation(s)
- Marco Aurélio Zezzi Arruda
- Spectrometry, Sample Preparation and Mechanization Group, Institute of Chemistry, University of Campinas - Unicamp, P.O. Box 6154, Campinas, SP 13083-970, Brazil; National Institute of Science and Technology for Bioanalytics, Institute of Chemistry, University of Campinas - Unicamp, P.O. Box 6154, Campinas, SP 13083-970, Brazil.
| | - Jemmyson Romário de Jesus
- Research Laboratory in bionanomaterials, LPbio, Chemistry Department, Federal University of Viçosa, UFV, Viçosa, Minas Gerais, Brazil
| | | | - Alan James Stewart
- School of Medicine, University of St Andrews, North Haugh, St Andrews KY16 9TF, United Kingdom
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Ampong I, Zimmerman KD, Nathanielsz PW, Cox LA, Olivier M. Optimization of Imputation Strategies for High-Resolution Gas Chromatography-Mass Spectrometry (HR GC-MS) Metabolomics Data. Metabolites 2022; 12:429. [PMID: 35629933 PMCID: PMC9144635 DOI: 10.3390/metabo12050429] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/07/2022] [Accepted: 05/09/2022] [Indexed: 12/17/2022] Open
Abstract
Gas chromatography-coupled mass spectrometry (GC-MS) has been used in biomedical research to analyze volatile, non-polar, and polar metabolites in a wide array of sample types. Despite advances in technology, missing values are still common in metabolomics datasets and must be properly handled. We evaluated the performance of ten commonly used missing value imputation methods with metabolites analyzed on an HR GC-MS instrument. By introducing missing values into the complete (i.e., data without any missing values) National Institute of Standards and Technology (NIST) plasma dataset, we demonstrate that random forest (RF), glmnet ridge regression (GRR), and Bayesian principal component analysis (BPCA) shared the lowest root mean squared error (RMSE) in technical replicate data. Further examination of these three methods in data from baboon plasma and liver samples demonstrated they all maintained high accuracy. Overall, our analysis suggests that any of the three imputation methods can be applied effectively to untargeted metabolomics datasets with high accuracy. However, it is important to note that imputation will alter the correlation structure of the dataset and bias downstream regression coefficients and p-values.
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Affiliation(s)
- Isaac Ampong
- Center for Precision Medicine, Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University, Winston-Salem, NC 27157, USA; (I.A.); (K.D.Z.); (L.A.C.)
| | - Kip D. Zimmerman
- Center for Precision Medicine, Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University, Winston-Salem, NC 27157, USA; (I.A.); (K.D.Z.); (L.A.C.)
| | - Peter W. Nathanielsz
- Center for the Study of Fetal Programming, University of Wyoming, Laramie, WY 82071, USA;
- Southwest National Primate Research Center, San Antonio, TX 78227, USA
| | - Laura A. Cox
- Center for Precision Medicine, Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University, Winston-Salem, NC 27157, USA; (I.A.); (K.D.Z.); (L.A.C.)
- Southwest National Primate Research Center, San Antonio, TX 78227, USA
| | - Michael Olivier
- Center for Precision Medicine, Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University, Winston-Salem, NC 27157, USA; (I.A.); (K.D.Z.); (L.A.C.)
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Scott-Baumann J, Pizzey R, Beckmann M, Villarreal-Ramos B, King J, Hopkins B, Rooke D, Hewinson G, Mur LAJ. Metabotyping the Welsh population of badgers based on thoracic fluid. Metabolomics 2022; 18:30. [PMID: 35524831 PMCID: PMC9079023 DOI: 10.1007/s11306-022-01888-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 04/11/2022] [Indexed: 11/28/2022]
Abstract
INTRODUCTION The European badger (Meles meles) is a known wildlife reservoir for bovine tuberculosis (bTB) and a better understanding of the epidemiology of bTB in this wildlife species is required for disease control in both wild and farmed animals. Flow infusion electrospray-high-resolution mass spectrometry (FIE-HRMS) may potentially identify novel metabolite biomarkers based on which new, rapid, and sensitive point of care tests for bTB infection could be developed. OBJECTIVES In this foundational study, we engaged on assessing the baseline metabolomic variation in the non-bTB infected badger population ("metabotyping") across Wales. METHODS FIE-HRMS was applied on thoracic fluid samples obtained by post-mortem of bTB negative badgers (n = 285) which were part of the Welsh Government 'All Wales Badger Found Dead' study. RESULTS Using principal component analysis and partial least squares-discriminant analyses, the major sources of variation were linked to sex, and to a much lesser extent age, as indicated by tooth wear. Within the female population, variation was seen between lactating and non-lactating individuals. No significant variation linked to the presence of bite wounds, obvious lymphatic lesions or geographical region of origin was observed. CONCLUSION Future metabolomic work when making comparisons between bTB infected and non-infected badger samples will only need be sex-matched and could focus on males only, to avoid lactation bias.
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Affiliation(s)
- James Scott-Baumann
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
| | - Richard Pizzey
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
| | - Manfred Beckmann
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
| | - Bernardo Villarreal-Ramos
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
- Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Ceredigion, SY23 3AR, UK
- TB Research Group, Animal and Plant Health Agency, New Haw, Addlestone, KT15 3NB, Surrey, UK
| | - Jonathan King
- Wales Veterinary Science Centre, Y Buarth, Aberystwyth, SY23 1ND, Ceredigion, UK
| | - Beverley Hopkins
- Wales Veterinary Science Centre, Y Buarth, Aberystwyth, SY23 1ND, Ceredigion, UK
| | | | - Glyn Hewinson
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK
- Centre of Excellence for Bovine Tuberculosis, Aberystwyth University, Ceredigion, SY23 3AR, UK
| | - Luis A J Mur
- Institute of Biological, Environmental and Rural Science, Aberystwyth University, Aberystwyth, SY23 3DA, Ceredigion, UK.
- , B2.03 Edward Llwyd, Penglais, Aberystwyth, SY23 3FL, UK.
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Metabolomics Research in Periodontal Disease by Mass Spectrometry. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27092864. [PMID: 35566216 PMCID: PMC9104832 DOI: 10.3390/molecules27092864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 04/24/2022] [Accepted: 04/27/2022] [Indexed: 11/20/2022]
Abstract
Periodontology is a newer field relative to other areas of dentistry. Remarkable progress has been made in recent years in periodontology in terms of both research and clinical applications, with researchers worldwide now focusing on periodontology. With recent advances in mass spectrometry technology, metabolomics research is now widely conducted in various research fields. Metabolomics, which is also termed metabolomic analysis, is a technology that enables the comprehensive analysis of small-molecule metabolites in living organisms. With the development of metabolite analysis, methods using gas chromatography–mass spectrometry, liquid chromatography–mass spectrometry, capillary electrophoresis–mass spectrometry, etc. have progressed, making it possible to analyze a wider range of metabolites and to detect metabolites at lower concentrations. Metabolomics is widely used for research in the food, plant, microbial, and medical fields. This paper provides an introduction to metabolomic analysis and a review of the increasing applications of metabolomic analysis in periodontal disease research using mass spectrometry technology.
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Mohd Kamal K, Mahamad Maifiah MH, Abdul Rahim N, Hashim YZHY, Abdullah Sani MS, Azizan KA. Bacterial Metabolomics: Sample Preparation Methods. Biochem Res Int 2022; 2022:9186536. [PMID: 35465444 PMCID: PMC9019480 DOI: 10.1155/2022/9186536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 03/31/2022] [Indexed: 12/03/2022] Open
Abstract
Metabolomics is a comprehensive analysis of metabolites existing in biological systems. As one of the important "omics" tools, the approach has been widely employed in various fields in helping to better understand the complex cellular metabolic states and changes. Bacterial metabolomics has gained a significant interest as bacteria serve to provide a better subject or model at systems level. The approach in metabolomics is categorized into untargeted and targeted which serves different paradigms of interest. Nevertheless, the bottleneck in metabolomics has been the sample or metabolite preparation method. A custom-made method and design for a particular species or strain of bacteria might be necessary as most studies generally refer to other bacteria or even yeast and fungi that may lead to unreliable analysis. The paramount aspect of metabolomics design comprises sample harvesting, quenching, and metabolite extraction procedures. Depending on the type of samples and research objective, each step must be at optimal conditions which are significantly important in determining the final output. To date, there are no standardized nor single designated protocols that have been established for a specific bacteria strain for untargeted and targeted approaches. In this paper, the existing and current developments of sample preparation methods of bacterial metabolomics used in both approaches are reviewed. The review also highlights previous literature of optimized conditions used to propose the most ideal methods for metabolite preparation, particularly for bacterial cells. Advantages and limitations of methods are discussed for future improvement of bacterial metabolomics.
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Affiliation(s)
- Khairunnisa Mohd Kamal
- International Institute for Halal Research and Training (INHART), Level 3, KICT Building, International Islamic University Malaysia (IIUM), Jalan Gombak, Selangor 53100, Malaysia
| | - Mohd Hafidz Mahamad Maifiah
- International Institute for Halal Research and Training (INHART), Level 3, KICT Building, International Islamic University Malaysia (IIUM), Jalan Gombak, Selangor 53100, Malaysia
| | | | - Yumi Zuhanis Has-Yun Hashim
- International Institute for Halal Research and Training (INHART), Level 3, KICT Building, International Islamic University Malaysia (IIUM), Jalan Gombak, Selangor 53100, Malaysia
| | - Muhamad Shirwan Abdullah Sani
- International Institute for Halal Research and Training (INHART), Level 3, KICT Building, International Islamic University Malaysia (IIUM), Jalan Gombak, Selangor 53100, Malaysia
| | - Kamalrul Azlan Azizan
- Metabolomics Research Laboratory, Institute of Systems Biology (INBIOSIS), Universiti Kebangsaan Malaysia, UKM, Bangi, Selangor 43600, Malaysia
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48
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Nijakowski K, Gruszczyński D, Kopała D, Surdacka A. Salivary Metabolomics for Oral Squamous Cell Carcinoma Diagnosis: A Systematic Review. Metabolites 2022; 12:metabo12040294. [PMID: 35448481 PMCID: PMC9029144 DOI: 10.3390/metabo12040294] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/14/2022] [Accepted: 03/25/2022] [Indexed: 02/07/2023] Open
Abstract
Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer in which the consumption of tobacco and alcohol is considered to be the main aetiological factor. Salivary metabolome profiling could identify novel biochemical pathways involved in the pathogenesis of various diseases. This systematic review was designed to answer the question “Are salivary metabolites reliable for the diagnosis of oral squamous cell carcinoma?”. Following the inclusion and exclusion criteria, nineteen studies were included (according to PRISMA statement guidelines). In all included studies, the diagnostic material was unstimulated whole saliva, whose metabolome changes were determined by different spectroscopic methods. At the metabolic level, OSCC patients differed significantly not only from healthy subjects but also from patients with oral leukoplakia, lichen planus or other oral potentially malignant disorders. Among the detected salivary metabolites, there were the indicators of the impaired metabolic pathways, such as choline metabolism, amino acid pathways, polyamine metabolism, urea cycle, creatine metabolism, glycolysis or glycerolipid metabolism. In conclusion, saliva contains many potential metabolites, which can be used reliably to early diagnose and monitor staging in patients with OSCC. However, further investigations are necessary to confirm these findings and to identify new salivary metabolic biomarkers.
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Affiliation(s)
- Kacper Nijakowski
- Department of Conservative Dentistry and Endodontics, Poznan University of Medical Sciences, 60-812 Poznan, Poland;
- Correspondence:
| | - Dawid Gruszczyński
- Student’s Scientific Group, Department of Conservative Dentistry and Endodontics, Poznan University of Medical Sciences, 60-812 Poznan, Poland; (D.G.); (D.K.)
| | - Dariusz Kopała
- Student’s Scientific Group, Department of Conservative Dentistry and Endodontics, Poznan University of Medical Sciences, 60-812 Poznan, Poland; (D.G.); (D.K.)
| | - Anna Surdacka
- Department of Conservative Dentistry and Endodontics, Poznan University of Medical Sciences, 60-812 Poznan, Poland;
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Mishra S, Priyanka, Sharma S. Metabolomic Insights Into Endophyte-Derived Bioactive Compounds. Front Microbiol 2022; 13:835931. [PMID: 35308367 PMCID: PMC8926391 DOI: 10.3389/fmicb.2022.835931] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 01/31/2022] [Indexed: 11/26/2022] Open
Abstract
Among the various plant-associated microbiota, endophytes (the microbial communities inhabiting plant endosphere without causing disease symptoms) exhibit the most intimate and specific association with host plants. Endophytic microbes influence various aspects of plant responses (such as increasing availability of nutrients, tolerance against biotic and abiotic stresses, etc.) by modulating the primary and secondary metabolism of the host. Besides, endophytic microbes produce a diverse array of bioactive compounds, which have potential applications in the pharmaceutical, food, and cosmetic industries. Further, there is sufficient evidence for endophyte-derived plant metabolites, which could be pursued as alternative sources of commercially important plant metabolites. The field of bioprospecting, the discovery of novel chemistries, and endophyte-mediated production of plant metabolites have witnessed a boom with the advent of omics technologies (especially metabolomics) in endophyte research. The high throughput study of small metabolites at a particular timepoint or tissue forms the core of metabolomics. Being downstream to transcriptome and proteome, the metabolome provides the most direct reflection of the phenotype of an organism. The contribution of plant and microbial metabolomics for answering fundamental questions of plant-endophyte interaction, such as the effect of endophyte inoculation on plant metabolome, composition of metabolites on the impact of environmental stressors (biotic and abiotic), etc., have also been discussed.
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Affiliation(s)
- Sushma Mishra
- Plant Biotechnology Laboratory, Dayalbagh Educational Institute, Deemed-to-be-University, Agra, India
| | - Priyanka
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi, India
| | - Shilpi Sharma
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, New Delhi, India
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50
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Bispo DC, Jesus CSH, Correia M, Ferreira F, Bonifazio G, Goodfellow BJ, Oliveira MB, Mano JF, Gil AM. NMR Metabolomics Assessment of Osteogenic Differentiation of Adipose-Tissue-Derived Mesenchymal Stem Cells. J Proteome Res 2022; 21:654-670. [PMID: 35061379 PMCID: PMC9776527 DOI: 10.1021/acs.jproteome.1c00832] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
This Article presents, for the first time to our knowledge, an untargeted nuclear magnetic resonance (NMR) metabolomic characterization of the polar intracellular metabolic adaptations of human adipose-derived mesenchymal stem cells during osteogenic differentiation. The use of mesenchymal stem cells (MSCs) for bone regeneration is a promising alternative to conventional bone grafts, and untargeted metabolomics may unveil novel metabolic information on the osteogenic differentiation of MSCs, allowing their behavior to be understood and monitored/guided toward effective therapies. Our results unveiled statistically relevant changes in the levels of just over 30 identified metabolites, illustrating a highly dynamic process with significant variations throughout the whole 21-day period of osteogenic differentiation, mainly involving amino acid metabolism and protein synthesis; energy metabolism and the roles of glycolysis, the tricarboxylic acid cycle, and oxidative phosphorylation; cell membrane metabolism; nucleotide metabolism (including the specific involvement of O-glycosylation intermediates and NAD+); and metabolic players in protective antioxidative mechanisms (such as glutathione and specific amino acids). Different metabolic stages are proposed and are supported by putative biochemical explanations for the metabolite changes observed. This work lays the groundwork for the use of untargeted NMR metabolomics to find potential metabolic markers of osteogenic differentiation efficacy.
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Affiliation(s)
- Daniela
S. C. Bispo
- Department
of Chemistry, CICECO - Aveiro Institute of Materials (CICECO/UA), University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
| | - Catarina S. H. Jesus
- Department
of Chemistry, CICECO - Aveiro Institute of Materials (CICECO/UA), University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
| | - Marlene Correia
- Department
of Chemistry, CICECO - Aveiro Institute of Materials (CICECO/UA), University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
| | - Filipa Ferreira
- Department
of Chemistry, CICECO - Aveiro Institute of Materials (CICECO/UA), University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
| | - Giulia Bonifazio
- Department
of Chemistry, CICECO - Aveiro Institute of Materials (CICECO/UA), University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal,Department
of Biotechnology Lazzaro Spallanzani, University
of Pavia, Corso Str.
Nuova, 65, 27100 Pavia PV, Italy
| | - Brian J. Goodfellow
- Department
of Chemistry, CICECO - Aveiro Institute of Materials (CICECO/UA), University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
| | - Mariana B. Oliveira
- Department
of Chemistry, CICECO - Aveiro Institute of Materials (CICECO/UA), University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
| | - João F. Mano
- Department
of Chemistry, CICECO - Aveiro Institute of Materials (CICECO/UA), University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal
| | - Ana M. Gil
- Department
of Chemistry, CICECO - Aveiro Institute of Materials (CICECO/UA), University of Aveiro, Campus Universitario de Santiago, 3810-193 Aveiro, Portugal,
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