1
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Wang C, Zhu Q, Li Y, Guo J, Li L. Alterations in the Intestinal Microbiome and Metabolic Profile of British Shorthair Kittens Fed with Milk Replacer. Animals (Basel) 2024; 14:2346. [PMID: 39199879 PMCID: PMC11350904 DOI: 10.3390/ani14162346] [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: 07/12/2024] [Revised: 08/09/2024] [Accepted: 08/12/2024] [Indexed: 09/01/2024] Open
Abstract
With the rising popularity of pet cats as companion animals, the survival of newborn kittens is often threatened by factors such as inadequate nursing, maternal behavior and blood incompatibility. These challenges require the use of milk replacers for nurturing. To investigate the effects that feeding kittens with an experimental milk replacer (EMR) have on growth and development, intestinal microbiota, immune response and nutrient metabolism, 12 British shorthair kittens were randomly divided into two groups after nursing for the first week of life. Kittens were fed queen's milk or EMR, whereby kittens fed queen's milk served as the control (CON) group. The findings revealed that the CON group exhibited superoxide dismutase (SOD) activity and total antioxidant capacity (T-AOC) (p < 0.01) on day 7. However, the EMR group had better growth performance during the later stage of the experiment (p < 0.05); the immunocompetence and antioxidant capacity of the EMR group were not significantly different from those of the CON group in the middle and late stages of the experiment, and the mean values of all the indexes were slightly better than those of the control group. Sequencing of the 16S rRNA gene in microbiota demonstrated that EMR increased the colonization of bacterial genera, including Lachnospiraceae, Enterococcus, Rothia and Ligilactobacillus. Compared to the CON group, acetate acid (p < 0.05), propionate acid (p < 0.01) and total SCFAs (p < 0.01) in the EMR group were significantly increased. Moreover, the intake of the EMR resulted in the production of distinct metabolites implicated in the metabolism of lipids and amino acids, among other nutrients, thus invigorating the associated metabolic pathways. These results elucidate the impact of administering a milk replacer on gastrointestinal health and nutrient assimilation in kittens. The study provides insights into the use of milk powder alternatives and sets the stage for future research on the formulation and effectiveness of kitten milk replacers.
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Affiliation(s)
| | | | | | | | - Lian Li
- College of Animal Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
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2
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Bell L, Wallen M, Talpey S, Myers M, O'Brien B. Can exhaled volatile organic compounds differentiate high and low responders to resistance exercise? Med Hypotheses 2022. [DOI: 10.1016/j.mehy.2022.110837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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3
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Masutin V, Kersch C, Schmitz-Spanke S. A systematic review: metabolomics-based identification of altered metabolites and pathways in the skin caused by internal and external factors. Exp Dermatol 2022; 31:700-714. [PMID: 35030266 DOI: 10.1111/exd.14529] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 11/28/2021] [Accepted: 01/10/2022] [Indexed: 11/28/2022]
Abstract
The skin's ability to function optimally is affected by many diverse factors. Metabolomics has a great potential to improve our understanding of the underlying metabolic changes and the affected pathways. Therefore, the objective of this study was to review the current state of the literature and to perform further metabolic pathway analysis on the obtained data. The aim was to gain an overview of the metabolic changes under altered conditions and to identify common and different patterns as a function of the investigated factors. A cross-study comparison of the extracted studies from different databases identified 364 metabolites, whose concentrations were considerably altered by the following factor groups: irradiation, xenobiotics, aging, and skin diseases (mainly psoriasis). Using metabolic databases and pathway analysis tools the individual metabolites were assigned to the corresponding metabolic pathways and the most strongly affected signaling pathways were identified. All factors induced oxidative stress. Thus, antioxidant defense systems, especially coenzyme Q10 (aging) and the glutathione system (irradiation, aging, xenobiotics) were impacted. Lipid metabolism was also impacted by all factors studied. The carnitine shuttle as part of β-oxidation was activated by all factor groups except aging. Glycolysis, Krebs (TCA) cycle and purine metabolism were mainly affected by irradiation and xenobiotics. The pentose phosphate pathway was activated and Krebs cycle was downregulated in response to oxidative stress. In summary, it can be ascertained that mainly energy metabolism, lipid metabolism, antioxidative defense and DNA repair systems were impacted by the factors studied.
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Affiliation(s)
- Viktor Masutin
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU)
| | - Christian Kersch
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU)
| | - Simone Schmitz-Spanke
- Institute and Outpatient Clinic of Occupational, Social and Environmental Medicine, Friedrich-Alexander-University Erlangen-Nürnberg (FAU)
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4
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Garreto L, Charneau S, Mandacaru SC, Nóbrega OT, Motta FN, de Araújo CN, Tonet AC, Modesto FMB, Paula LM, de Sousa MV, Santana JM, Acevedo AC, Bastos IMD. Mapping Salivary Proteases in Sjögren's Syndrome Patients Reveals Overexpression of Dipeptidyl Peptidase-4/CD26. Front Immunol 2021; 12:686480. [PMID: 34220840 PMCID: PMC8247581 DOI: 10.3389/fimmu.2021.686480] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 05/25/2021] [Indexed: 12/14/2022] Open
Abstract
Sjögren's Syndrome (SS) is an autoimmune exocrinopathy characterized by the progressive damage of salivary and lacrimal glands associated with lymphocytic infiltration. Identifying new non-invasive biomarkers for SS diagnosis remains a challenge, and alterations in saliva composition reported in patients turn this fluid into a source of potential biomarkers. Among these, proteases are promising candidates since they are involved in several key physio-pathological processes. This study evaluated differentially expressed proteases in SS individuals' saliva using synthetic fluorogenic substrates, zymography, ELISA, and proteomic approaches. Here we reported, for the first time, increased activity of the serine protease dipeptidyl peptidase-4/CD26 (DPP4/CD26) in pSS saliva, the expression level of which was corroborated by ELISA assay. Gelatin zymograms showed that metalloproteinase proteolytic band profiles differed significantly in intensity between control and SS groups. Focusing on matrix metalloproteinase-9 (MMP9) expression, an increased tendency in pSS saliva (p = 0.0527) was observed compared to the control group. Samples of control, pSS, and sSS were analyzed by mass spectrometry to reveal a general panorama of proteases in saliva. Forty-eight protein groups of proteases were identified, among which were the serine proteases cathepsin G (CTSG), neutrophil elastase (ELANE), myeloblastin (PRTN3), MMP9 and several protease inhibitors. This work paves the way for proteases to be explored in the future as biomarkers, emphasizing DPP4 by its association in several autoimmune and inflammatory diseases. Besides its proteolytic role, DPP4/CD26 acts as a cell surface receptor, signal transduction mediator, adhesion and costimulatory protein involved in T lymphocytes activation.
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Affiliation(s)
- Laís Garreto
- Pathogen–Host Interface Laboratory, Department of Cell Biology, Institute of Biology, University of Brasília, Brasília, Brazil
| | - Sébastien Charneau
- Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, Institute of Biology, University of Brasília, Brasília, Brazil
| | - Samuel Coelho Mandacaru
- Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, Institute of Biology, University of Brasília, Brasília, Brazil
| | | | - Flávia N. Motta
- Pathogen–Host Interface Laboratory, Department of Cell Biology, Institute of Biology, University of Brasília, Brasília, Brazil
- Faculty of Ceilândia, University of Brasília, Brasília, Brazil
| | - Carla N. de Araújo
- Pathogen–Host Interface Laboratory, Department of Cell Biology, Institute of Biology, University of Brasília, Brasília, Brazil
- Faculty of Ceilândia, University of Brasília, Brasília, Brazil
| | - Audrey C. Tonet
- Laboratory of Immune Gerontology, Catholic University of Brasília, Brasília, Brazil
| | | | - Lilian M. Paula
- Laboratory of Oral Histopathology, Department of Odontology, Health Sciences Faculty, University of Brasília, Brasília, Brazil
| | - Marcelo Valle de Sousa
- Laboratory of Protein Chemistry and Biochemistry, Department of Cell Biology, Institute of Biology, University of Brasília, Brasília, Brazil
| | - Jaime M. Santana
- Pathogen–Host Interface Laboratory, Department of Cell Biology, Institute of Biology, University of Brasília, Brasília, Brazil
| | - Ana Carolina Acevedo
- Laboratory of Oral Histopathology, Department of Odontology, Health Sciences Faculty, University of Brasília, Brasília, Brazil
| | - Izabela M. D. Bastos
- Pathogen–Host Interface Laboratory, Department of Cell Biology, Institute of Biology, University of Brasília, Brasília, Brazil
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5
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Phyo JB, Woo A, Yu HJ, Lim K, Cho BH, Jung HS, Lee MY. Label-Free SERS Analysis of Urine Using a 3D-Stacked AgNW-Glass Fiber Filter Sensor for the Diagnosis of Pancreatic Cancer and Prostate Cancer. Anal Chem 2021; 93:3778-3785. [PMID: 33576598 DOI: 10.1021/acs.analchem.0c04200] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Metabolomics shows tremendous potential for the early diagnosis and screening of cancer. For clinical application as an effective diagnostic tool, however, improved analytical methods for complex biological fluids are required. Here, we developed a reliable rapid urine analysis system based on surface-enhanced Raman spectroscopy (SERS) using 3D-stacked silver nanowires (AgNWs) on a glass fiber filter (GFF) sensor and applied it to the diagnosis of pancreatic cancer and prostate cancer. Urine samples were pretreated with centrifugation to remove large debris and with calcium ion addition to improve the binding of metabolites to AgNWs. The label-free urine-SERS detection using the AgNW-GFF SERS sensor showed different spectral patterns and distinguishable specific peaks in three groups: normal control (n = 30), pancreatic cancer (n = 22), and prostate cancer (n = 22). Multivariate analyses of SERS spectra using unsupervised principal component analysis and supervised orthogonal partial least-squares discriminant analysis showed excellent discrimination between the pancreatic cancer group and the prostate cancer group as well as between the normal control group and the combined cancer groups. The results demonstrate the great potential of the urine-SERS analysis system using the AgNW-GFF SERS sensor for the noninvasive diagnosis and screening of cancers.
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Affiliation(s)
- Jung Bin Phyo
- Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea.,Smart Healthcare Research Institute, Samsung Medical Center, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Ayoung Woo
- Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Ho Jae Yu
- Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Kyongmook Lim
- Smart Healthcare Research Institute, Samsung Medical Center, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Baek Hwan Cho
- Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea.,Smart Healthcare Research Institute, Samsung Medical Center, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
| | - Ho Sang Jung
- Department of Nano-Bio Convergence, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam 51508, Republic of Korea
| | - Min-Young Lee
- Department of Medical Device Management and Research, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea.,Smart Healthcare Research Institute, Samsung Medical Center, 81, Irwon-ro, Gangnam-gu, Seoul 06351, Republic of Korea
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6
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Mitchell MD, Crookenden MA, Vaswani K, Roche JR, Peiris HN. The frontiers of biomedical science and its application to animal science in addressing the major challenges facing Australasian dairy farming. ANIMAL PRODUCTION SCIENCE 2020. [DOI: 10.1071/an18579] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Extraordinary advances are occurring in biomedical science that may revolutionise how we approach health and disease. Many have applications in the dairy industry. We have described one particular area of extracellular vesicles that have already proven to be of interest in diagnostics and prognostics for fertility and assessment of ‘transition’ cows (i.e. evaluation of the problems related to the risk of clinical diseases in dairy cows, such as mastitis and milk fever, during transition period). The addition of measurements of circulating RNA and DNA may prove of value in identifying dairy cows with higher risks of clinical diseases and potentially poor fertility. We describe the exciting opportunity provided by the possibility of generating exosomes to order as therapeutic agents to potentially enhance fertility. The even more radical concept of using exosomes to deliver a CRISPR-linked gene editing function is presented. Undoubtedly, the use of biomedical advances to assist the dairy industry is an obvious and practical approach that has significant merit.
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7
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HS-SPME-GC-MS approach for the analysis of volatile salivary metabolites and application in a case study for the indirect assessment of gut microbiota. Anal Bioanal Chem 2019; 411:7551-7562. [PMID: 31641822 DOI: 10.1007/s00216-019-02158-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2019] [Revised: 08/29/2019] [Accepted: 09/18/2019] [Indexed: 02/07/2023]
Abstract
In this work, a straightforward analytical approach based on headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry was developed for the analysis of salivary volatile organic compounds without any prior derivatization step. With a sample volume of 500 μL, optimal conditions were achieved by allowing the sample to equilibrate for 10 min at 50 °C and then extracting the samples for 10 min at the same temperature, using a carboxen/polydimethylsiloxane fibre. The method allowed the simultaneous identification and quantification of 20 compounds in sample headspace, including short-chain fatty acids and their derivatives which are commonly analysed after analyte derivatization. The proof of applicability of the methodology was performed with a case study regarding the analysis of the dynamics of volatile metabolites in saliva of a single subject undergoing 5-day treatment with rifaximin antibiotic. Non-stimulated saliva samples were collected over 3 weeks from a nominally healthy volunteer before, during, and after antibiotic treatment. The variations of some metabolites, known to be produced by the microbiota and by bacteria that are susceptible to antibiotics, suggest that the study of the dynamics of salivary metabolites can be an excellent indirect method for analysing the gut microbiota. This approach is novel from an analytical standpoint, and it encourages further studies combining saliva metabolite profiles and gut microbiota dynamics. Graphical abstract.
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8
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Barbosa JMG, Pereira NZ, David LC, de Oliveira CG, Soares MFG, Avelino MAG, de Oliveira AE, Shokry E, Filho NRA. Cerumenogram: a new frontier in cancer diagnosis in humans. Sci Rep 2019; 9:11722. [PMID: 31409861 PMCID: PMC6692389 DOI: 10.1038/s41598-019-48121-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2019] [Accepted: 07/22/2019] [Indexed: 02/07/2023] Open
Abstract
Cancer is the deadliest human disease and the development of new diagnosis methods is important to increase the chances of a cure. In this work it was developed a new method, named here for the first time as cerumenogram, using cerumen (earwax) as a new biomatrix for diagnosis. Earwax samples collected from cancer patients (cancer group) and cancer-free patients (control group) were analyzed by Headspace/Gas Chromatography-Mass Spectrometry (HS/GC-MS), following with multivariate analysis steps to process the raw data generated. In total, 158 volatile organic metabolites (VOMs) were identified in the cerumen samples. The 27 selected as potential VOMs biomarkers for cancer provided 100% discrimination between the cancer and control groups. This new test can thus be routinely employed for cancer diagnoses that is non-invasive, fast, cheap, and highly accurate.
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Affiliation(s)
- João Marcos Gonçalves Barbosa
- Laboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.
| | - Naiara Zedes Pereira
- Laboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil
| | - Lurian Caetano David
- Laboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil
| | - Camilla Gabriela de Oliveira
- Clinical Hospital, Federal University of Goiás (UFG), Campus I - Colemar Natal e Silva, 74605-020, Goiânia, GO, Brazil
| | - Marina Ferraz Gontijo Soares
- Clinical Hospital, Federal University of Goiás (UFG), Campus I - Colemar Natal e Silva, 74605-020, Goiânia, GO, Brazil
| | - Melissa Ameloti Gomes Avelino
- Clinical Hospital, Federal University of Goiás (UFG), Campus I - Colemar Natal e Silva, 74605-020, Goiânia, GO, Brazil
| | - Anselmo Elcana de Oliveira
- Laboratory of Theoretical and Computational Chemistry (LQTC), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-970, Goiânia, GO, Brazil
| | - Engy Shokry
- Laboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil
| | - Nelson Roberto Antoniosi Filho
- Laboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil. .,Laboratory of Extraction and Separation Methods (LAMES), Institute of Chemistry, Federal University of Goiás (UFG), Campus II - Samambaia, 74690-900, Goiânia, GO, Brazil.
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9
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Laíns I, Duarte D, Barros AS, Martins AS, Carneiro TJ, Gil JQ, Miller JB, Marques M, Mesquita TS, Barreto P, Kim IK, da Luz Cachulo M, Vavvas DG, Carreira IM, Murta JN, Silva R, Miller JW, Husain D, Gil AM. Urine Nuclear Magnetic Resonance (NMR) Metabolomics in Age-Related Macular Degeneration. J Proteome Res 2019; 18:1278-1288. [PMID: 30672297 PMCID: PMC7838731 DOI: 10.1021/acs.jproteome.8b00877] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Biofluid biomarkers of age-related macular degeneration (AMD) are still lacking, and their identification is challenging. Metabolomics is well-suited to address this need, and urine is a valuable accessible biofluid. This study aimed to characterize the urinary metabolomic signatures of patients with different stages of AMD and a control group (>50 years). It was a prospective, cross-sectional study, where subjects from two cohorts were included: 305 from Coimbra, Portugal (AMD patients n = 252; controls n = 53) and 194 from Boston, United States (AMD patients n = 147; controls n = 47). For all participants, we obtained color fundus photographs (for AMD staging) and fasting urine samples, which were analyzed using 1H nuclear magnetic resonance (NMR) spectroscopy. Our results revealed that in both cohorts, urinary metabolomic profiles differed mostly between controls and late AMD patients, but important differences were also found between controls and subjects with early AMD. Analysis of the metabolites responsible for these separations revealed that, even though distinct features were observed for each cohort, AMD was in general associated with depletion of excreted citrate and selected amino acids at some stage of the disease, suggesting enhanced energy requirements. In conclusion, NMR metabolomics enabled the identification of urinary signals of AMD and its severity stages, which might represent potential metabolomic biomarkers of the disease.
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Affiliation(s)
- Inês Laíns
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Daniela Duarte
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - António S. Barros
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Ana Sofia Martins
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Tatiana J. Carneiro
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - João Q. Gil
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - John B. Miller
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Marco Marques
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Tânia S. Mesquita
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
| | - Patrícia Barreto
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
| | - Ivana K. Kim
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Maria da Luz Cachulo
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Demetrios G. Vavvas
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Isabel M. Carreira
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
| | - Joaquim Neto Murta
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Rufino Silva
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Joan W. Miller
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Deeba Husain
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Ana M. Gil
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
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10
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Baumgartner C, Spath-Blass V, Niederkofler V, Bergmoser K, Langthaler S, Lassnig A, Rienmüller T, Baumgartner D, Asnani A, Gerszten RE. A novel network-based approach for discovering dynamic metabolic biomarkers in cardiovascular disease. PLoS One 2018; 13:e0208953. [PMID: 30533038 PMCID: PMC6289413 DOI: 10.1371/journal.pone.0208953] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2018] [Accepted: 11/26/2018] [Indexed: 12/25/2022] Open
Abstract
Metabolic biomarkers may play an important role in the diagnosis, prognostication and assessment of response to pharmacological therapy in complex diseases. The process of discovering new metabolic biomarkers is a non-trivial task which involves a number of bioanalytical processing steps coupled with a computational approach for the search, prioritization and verification of new biomarker candidates. Kinetic analysis provides an additional dimension of complexity in time-series data, allowing for a more precise interpretation of biomarker dynamics in terms of molecular interaction and pathway modulation. A novel network-based computational strategy for the discovery of putative dynamic biomarker candidates is presented, enabling the identification and verification of unexpected metabolic signatures in complex diseases such as myocardial infarction. The novelty of the proposed method lies in combining metabolic time-series data into a superimposed graph representation, highlighting the strength of the underlying kinetic interaction of preselected analytes. Using this approach, we were able to confirm known metabolic signatures and also identify new candidates such as carnosine and glycocholic acid, and pathways that have been previously associated with cardiovascular or related diseases. This computational strategy may serve as a complementary tool for the discovery of dynamic metabolic or proteomic biomarkers in the field of clinical medicine.
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Affiliation(s)
- Christian Baumgartner
- Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, Graz, Austria
| | - Verena Spath-Blass
- Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, Graz, Austria
| | - Verena Niederkofler
- Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, Graz, Austria
| | - Katharina Bergmoser
- Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, Graz, Austria
| | - Sonja Langthaler
- Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, Graz, Austria
| | - Alexander Lassnig
- Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, Graz, Austria
| | - Theresa Rienmüller
- Institute of Health Care Engineering with European Testing Center of Medical Devices, Graz University of Technology, Graz, Austria
| | - Daniela Baumgartner
- Department of Pediatric Cardiology, Medical University of Graz, Graz, Austria
| | - Aarti Asnani
- Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Robert E. Gerszten
- Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, United States of America
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11
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Laíns I, Gantner M, Murinello S, Lasky-Su JA, Miller JW, Friedlander M, Husain D. Metabolomics in the study of retinal health and disease. Prog Retin Eye Res 2018; 69:57-79. [PMID: 30423446 DOI: 10.1016/j.preteyeres.2018.11.002] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 10/06/2018] [Accepted: 11/07/2018] [Indexed: 02/06/2023]
Abstract
Metabolomics is the qualitative and quantitative assessment of the metabolites (small molecules < 1.5 kDa) in body fluids. The metabolites are the downstream of the genetic transcription and translation processes and also downstream of the interactions with environmental exposures; thus, they are thought to closely relate to the phenotype, especially for multifactorial diseases. In the last decade, metabolomics has been increasingly used to identify biomarkers in disease, and it is currently recognized as a very powerful tool with great potential for clinical translation. The metabolome and the associated pathways also help improve our understanding of the pathophysiology and mechanisms of disease. While there has been increasing interest and research in metabolomics of the eye, the application of metabolomics to retinal diseases has been limited, even though these are leading causes of blindness. In this manuscript, we perform a comprehensive summary of the tools and knowledge required to perform a metabolomics study, and we highlight essential statistical methods for rigorous study design and data analysis. We review available protocols, summarize the best approaches, and address the current unmet need for information on collection and processing of tissues and biofluids that can be used for metabolomics of retinal diseases. Additionally, we critically analyze recent work in this field, both in animal models and in human clinical disease, including diabetic retinopathy and age-related macular degeneration. Finally, we identify opportunities for future research applying metabolomics to improve our current assessment and understanding of mechanisms of vitreoretinal diseases, and to hence improve patient assessment and care.
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Affiliation(s)
- Inês Laíns
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States; Faculty of Medicine, University of Coimbra, 3000 Coimbra, Portugal.
| | - Mari Gantner
- Lowy Medical Research Institute, La Jolla, CA, 92037, United States; Scripps Research Institute, La Jolla, CA, 92037, United States.
| | - Salome Murinello
- Lowy Medical Research Institute, La Jolla, CA, 92037, United States; Scripps Research Institute, La Jolla, CA, 92037, United States.
| | - Jessica A Lasky-Su
- Systems Genetics and Genomics Unit, Channing Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02115, United States.
| | - Joan W Miller
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States.
| | - Martin Friedlander
- Lowy Medical Research Institute, La Jolla, CA, 92037, United States; Scripps Research Institute, La Jolla, CA, 92037, United States.
| | - Deeba Husain
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States.
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Identification of volatile metabolites in human saliva from patients with oral squamous cell carcinoma via zeolite-based thin-film microextraction coupled with GC-MS. J Chromatogr B Analyt Technol Biomed Life Sci 2018; 1104:49-58. [PMID: 30445287 DOI: 10.1016/j.jchromb.2018.11.002] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2018] [Revised: 10/04/2018] [Accepted: 11/02/2018] [Indexed: 12/20/2022]
Abstract
In recent years, volatile organic compounds (VOCs) discharged from the human body, of which some compounds exhibit strong correlations with pathological conditions, have attracted attention as a new means of disease diagnosis technology. The aim of this study was to establish the salivary metabolomic profiles of oral squamous cell carcinoma (OSCC) patients and healthy volunteers (control group) and to investigate VOCs as potential biomarkers in the diagnosis of oral cancer. We have demonstrated a method combining thin-film microextraction based on a ZSM-5/polydimethylsiloxane hybrid film coupled with gas chromatography-mass spectrometry and carried out a comparative analysis of salivary VOC profiles between OSCC patients and healthy controls. The results depicted that 42 and 73 VOCs were detected and identified in samples from the healthy control group (n = 50) and oral cancer group (n = 24), respectively. Among them, twenty-seven VOCs (ten were decreased, seven disappeared, and ten were newly produced in the oral cancer group) depict significant differences between both the sample groups, and they have relevance as candidate biomarkers for OSCC. Twelve salivary VOCs that were characteristic of oral cancer patients were finally extracted and used for pattern recognition analyses for oral cancer diagnosis. The proposed TFME approach for analyzing human saliva on the basis of a ZSM-5-loaded PDMS hybrid thin film has been performed for the very first time in the field of dentistry.
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Villéger R, Lopès A, Veziant J, Gagnière J, Barnich N, Billard E, Boucher D, Bonnet M. Microbial markers in colorectal cancer detection and/or prognosis. World J Gastroenterol 2018; 24:2327-2347. [PMID: 29904241 PMCID: PMC6000297 DOI: 10.3748/wjg.v24.i22.2327] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Revised: 05/03/2018] [Accepted: 05/18/2018] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) is the second leading cause of cancer worldwide. CRC is still associated with a poor prognosis among patients with advanced disease. On the contrary, due to its slow progression from detectable precancerous lesions, the prognosis for patients with early stages of CRC is encouraging. While most robust methods are invasive and costly, actual patient-friendly screening methods for CRC suffer of lack of sensitivity and specificity. Therefore, the development of sensitive, non-invasive and cost-effective methods for CRC detection and prognosis are necessary for increasing the chances of a cure. Beyond its beneficial functions for the host, increasing evidence suggests that the intestinal microbiota is a key factor associated with carcinogenesis. Many clinical studies have reported a disruption in the gut microbiota balance and an alteration in the faecal metabolome of CRC patients, suggesting the potential use of a microbial-based test as a non-invasive diagnostic and/or prognostic tool for CRC screening. This review aims to discuss the microbial signatures associated with CRC known to date, including dysbiosis and faecal metabolome alterations, and the potential use of microbial variation markers for non-invasive early diagnosis and/or prognostic assessment of CRC and advanced adenomas. We will finally discuss the possible use of these markers as predicators for treatment response and their limitations.
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Affiliation(s)
- Romain Villéger
- Université Clermont Auvergne, Inserm U1071, USC-INRA 2018, M2iSH, CRNH Auvergne, Clermont-Ferrand 63000, France
| | - Amélie Lopès
- Université Clermont Auvergne, Inserm U1071, USC-INRA 2018, M2iSH, CRNH Auvergne, Clermont-Ferrand 63000, France
- Research Biologics, Sanofi R&D, Vitry-Sur-Seine 94400, France
| | - Julie Veziant
- Université Clermont Auvergne, Inserm U1071, USC-INRA 2018, M2iSH, CRNH Auvergne, Clermont-Ferrand 63000, France
- Chirurgie digestive, Centre Hospitalier Universitaire, Clermont-Ferrand 63000, France
| | - Johan Gagnière
- Université Clermont Auvergne, Inserm U1071, USC-INRA 2018, M2iSH, CRNH Auvergne, Clermont-Ferrand 63000, France
- Chirurgie digestive, Centre Hospitalier Universitaire, Clermont-Ferrand 63000, France
| | - Nicolas Barnich
- Université Clermont Auvergne, Inserm U1071, USC-INRA 2018, M2iSH, CRNH Auvergne, Clermont-Ferrand 63000, France
- Université Clermont Auvergne, Institut Universitaire de Technologie de Clermont-Ferrand, Clermont-Ferrand 63000, France
| | - Elisabeth Billard
- Université Clermont Auvergne, Inserm U1071, USC-INRA 2018, M2iSH, CRNH Auvergne, Clermont-Ferrand 63000, France
- Université Clermont Auvergne, Institut Universitaire de Technologie de Clermont-Ferrand, Clermont-Ferrand 63000, France
| | - Delphine Boucher
- Université Clermont Auvergne, Inserm U1071, USC-INRA 2018, M2iSH, CRNH Auvergne, Clermont-Ferrand 63000, France
- Université Clermont Auvergne, Institut Universitaire de Technologie de Clermont-Ferrand, Clermont-Ferrand 63000, France
| | - Mathilde Bonnet
- Université Clermont Auvergne, Inserm U1071, USC-INRA 2018, M2iSH, CRNH Auvergne, Clermont-Ferrand 63000, France
- Université Clermont Auvergne, Institut Universitaire de Technologie de Clermont-Ferrand, Clermont-Ferrand 63000, France
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Kovalchuk A, Nersisyan L, Mandal R, Wishart D, Mancini M, Sidransky D, Kolb B, Kovalchuk O. Growth of Malignant Non-CNS Tumors Alters Brain Metabolome. Front Genet 2018. [PMID: 29515623 PMCID: PMC5826252 DOI: 10.3389/fgene.2018.00041] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Cancer survivors experience numerous treatment side effects that negatively affect their quality of life. Cognitive side effects are especially insidious, as they affect memory, cognition, and learning. Neurocognitive deficits occur prior to cancer treatment, arising even before cancer diagnosis, and we refer to them as "tumor brain." Metabolomics is a new area of research that focuses on metabolome profiles and provides important mechanistic insights into various human diseases, including cancer, neurodegenerative diseases, and aging. Many neurological diseases and conditions affect metabolic processes in the brain. However, the tumor brain metabolome has never been analyzed. In our study we used direct flow injection/mass spectrometry (DI-MS) analysis to establish the effects of the growth of lung cancer, pancreatic cancer, and sarcoma on the brain metabolome of TumorGraft™ mice. We found that the growth of malignant non-CNS tumors impacted metabolic processes in the brain, affecting protein biosynthesis, and amino acid and sphingolipid metabolism. The observed metabolic changes were similar to those reported for neurodegenerative diseases and brain aging, and may have potential mechanistic value for future analysis of the tumor brain phenomenon.
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Affiliation(s)
- Anna Kovalchuk
- Department of Neuroscience, University of Lethbridge, Lethbridge, AB, Canada.,Leaders in Medicine Program, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Lilit Nersisyan
- Group of Bioinformatics, Institute of Molecular Biology, National Academy of Sciences, Yerevan, Armenia
| | - Rupasri Mandal
- The Metabolomics Innovation Center, Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - David Wishart
- The Metabolomics Innovation Center, Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Maria Mancini
- Department of Oncology, Champions Oncology, Baltimore, MD, United States
| | - David Sidransky
- Department of Oncology, Champions Oncology, Baltimore, MD, United States.,Department of Otolaryngology and Oncology, Johns Hopkins University, Baltimore, MD, United States
| | - Bryan Kolb
- Department of Neuroscience, University of Lethbridge, Lethbridge, AB, Canada
| | - Olga Kovalchuk
- Department of Biological Sciences, University of Lethbridge, Lethbridge, AB, Canada
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Innovative methods for biomarker discovery in the evaluation and development of cancer precision therapies. Cancer Metastasis Rev 2018; 37:125-145. [PMID: 29392535 DOI: 10.1007/s10555-017-9710-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The discovery of biomarkers able to detect cancer at an early stage, to evaluate its aggressiveness, and to predict the response to therapy remains a major challenge in clinical oncology and precision medicine. In this review, we summarize recent achievements in the discovery and development of cancer biomarkers. We also highlight emerging innovative methods in biomarker discovery and provide insights into the challenges faced in their evaluation and validation.
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Shokry E, de Oliveira AE, Avelino MAG, de Deus MM, Filho NRA. Earwax: A neglected body secretion or a step ahead in clinical diagnosis? A pilot study. J Proteomics 2017; 159:92-101. [DOI: 10.1016/j.jprot.2017.03.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2016] [Revised: 02/25/2017] [Accepted: 03/07/2017] [Indexed: 12/16/2022]
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