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Alix JJP, Plesia M, Dudgeon AP, Kendall CA, Hewamadduma C, Hadjivassiliou M, Gorman GS, Taylor RW, McDermott CJ, Shaw PJ, Mead RJ, Day JC. Conformational fingerprinting with Raman spectroscopy reveals protein structure as a translational biomarker of muscle pathology. Analyst 2024; 149:2738-2746. [PMID: 38533726 PMCID: PMC11056770 DOI: 10.1039/d4an00320a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Accepted: 03/11/2024] [Indexed: 03/28/2024]
Abstract
Neuromuscular disorders are a group of conditions that can result in weakness of skeletal muscles. Examples include fatal diseases such as amyotrophic lateral sclerosis and conditions associated with high morbidity such as myopathies (muscle diseases). Many of these disorders are known to have abnormal protein folding and protein aggregates. Thus, easy to apply methods for the detection of such changes may prove useful diagnostic biomarkers. Raman spectroscopy has shown early promise in the detection of muscle pathology in neuromuscular disorders and is well suited to characterising the conformational profiles relating to protein secondary structure. In this work, we assess if Raman spectroscopy can detect differences in protein structure in muscle in the setting of neuromuscular disease. We utilise in vivo Raman spectroscopy measurements from preclinical models of amyotrophic lateral sclerosis and the myopathy Duchenne muscular dystrophy, together with ex vivo measurements of human muscle samples from individuals with and without myopathy. Using quantitative conformation profiling and matrix factorisation we demonstrate that quantitative 'conformational fingerprinting' can be used to identify changes in protein folding in muscle. Notably, myopathic conditions in both preclinical models and human samples manifested a significant reduction in α-helix structures, with concomitant increases in β-sheet and, to a lesser extent, nonregular configurations. Spectral patterns derived through non-negative matrix factorisation were able to identify myopathy with a high accuracy (79% in mouse, 78% in human tissue). This work demonstrates the potential of conformational fingerprinting as an interpretable biomarker for neuromuscular disorders.
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Affiliation(s)
- James J P Alix
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK.
- Neuroscience Institute, University of Sheffield, Western Bank, Sheffield, UK
- National Institute for Health and Care Research Sheffield Biomedical Research Centre, Sheffield, UK
| | - Maria Plesia
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK.
| | - Alexander P Dudgeon
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, UK
- Department of Physics and Astronomy, University of Exeter, UK
| | - Catherine A Kendall
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, UK
| | - Channa Hewamadduma
- National Institute for Health and Care Research Sheffield Biomedical Research Centre, Sheffield, UK
- Department of Neurology, Academic Directorate of Neurosciences, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, UK
| | - Marios Hadjivassiliou
- National Institute for Health and Care Research Sheffield Biomedical Research Centre, Sheffield, UK
- Department of Neurology, Academic Directorate of Neurosciences, Sheffield Teaching Hospitals NHS Foundation Trust, Royal Hallamshire Hospital, UK
| | - Gráinne S Gorman
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
- National Institute for Health and Care Research Newcastle Biomedical Research Centre, Newcastle upon Tyne, UK
| | - Robert W Taylor
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Christopher J McDermott
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK.
- Neuroscience Institute, University of Sheffield, Western Bank, Sheffield, UK
- National Institute for Health and Care Research Sheffield Biomedical Research Centre, Sheffield, UK
| | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK.
- Neuroscience Institute, University of Sheffield, Western Bank, Sheffield, UK
- National Institute for Health and Care Research Sheffield Biomedical Research Centre, Sheffield, UK
| | - Richard J Mead
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK.
- Neuroscience Institute, University of Sheffield, Western Bank, Sheffield, UK
| | - John C Day
- Interface Analysis Centre, School of Physics, University of Bristol, UK
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Alix JJP, Plesia M, Shaw PJ, Mead RJ, Day JCC. Combining electromyography and Raman spectroscopy: optical EMG. Muscle Nerve 2023; 68:464-470. [PMID: 37477391 PMCID: PMC10952815 DOI: 10.1002/mus.27937] [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: 12/22/2022] [Revised: 06/21/2023] [Accepted: 06/25/2023] [Indexed: 07/22/2023]
Abstract
INTRODUCTION/AIMS Electromyography (EMG) remains a key component of the diagnostic work-up for suspected neuromuscular disease, but it does not provide insight into the molecular composition of muscle which can provide diagnostic information. Raman spectroscopy is an emerging neuromuscular biomarker capable of generating highly specific, molecular fingerprints of tissue. Here, we present "optical EMG," a combination of EMG and Raman spectroscopy, achieved using a single needle. METHODS An optical EMG needle was created to collect electrophysiological and Raman spectroscopic data during a single insertion. We tested functionality with in vivo recordings in the SOD1G93A mouse model of amyotrophic lateral sclerosis (ALS), using both transgenic (n = 10) and non-transgenic (NTg, n = 7) mice. Under anesthesia, compound muscle action potentials (CMAPs), spontaneous EMG activity and Raman spectra were recorded from both gastrocnemius muscles with the optical EMG needle. Standard concentric EMG needle recordings were also undertaken. Electrophysiological data were analyzed with standard univariate statistics, Raman data with both univariate and multivariate analyses. RESULTS A significant difference in CMAP amplitude was observed between SOD1G93A and NTg mice with optical EMG and standard concentric needles (p = .015 and p = .011, respectively). Spontaneous EMG activity (positive sharp waves) was detected in transgenic SOD1G93A mice only. Raman spectra demonstrated peaks associated with key muscle components. Significant differences in molecular composition between SOD1G93A and NTg muscle were identified through the Raman spectra. DISCUSSION Optical EMG can provide standard electrophysiological data and molecular Raman data during a single needle insertion and represents a potential biomarker for neuromuscular disease.
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Affiliation(s)
- James J. P. Alix
- Sheffield Institute for Translational NeuroscienceUniversity of SheffieldSheffieldUK
- Cross‐Faculty Neuroscience InstituteUniversity of SheffieldSheffieldUK
| | - Maria Plesia
- Sheffield Institute for Translational NeuroscienceUniversity of SheffieldSheffieldUK
| | - Pamela J. Shaw
- Sheffield Institute for Translational NeuroscienceUniversity of SheffieldSheffieldUK
- Cross‐Faculty Neuroscience InstituteUniversity of SheffieldSheffieldUK
| | - Richard J. Mead
- Sheffield Institute for Translational NeuroscienceUniversity of SheffieldSheffieldUK
- Cross‐Faculty Neuroscience InstituteUniversity of SheffieldSheffieldUK
| | - John C. C. Day
- Interface Analysis Centre, School of PhysicsUniversity of BristolBristolUK
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Cutshaw G, Uthaman S, Hassan N, Kothadiya S, Wen X, Bardhan R. The Emerging Role of Raman Spectroscopy as an Omics Approach for Metabolic Profiling and Biomarker Detection toward Precision Medicine. Chem Rev 2023; 123:8297-8346. [PMID: 37318957 PMCID: PMC10626597 DOI: 10.1021/acs.chemrev.2c00897] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Omics technologies have rapidly evolved with the unprecedented potential to shape precision medicine. Novel omics approaches are imperative toallow rapid and accurate data collection and integration with clinical information and enable a new era of healthcare. In this comprehensive review, we highlight the utility of Raman spectroscopy (RS) as an emerging omics technology for clinically relevant applications using clinically significant samples and models. We discuss the use of RS both as a label-free approach for probing the intrinsic metabolites of biological materials, and as a labeled approach where signal from Raman reporters conjugated to nanoparticles (NPs) serve as an indirect measure for tracking protein biomarkers in vivo and for high throughout proteomics. We summarize the use of machine learning algorithms for processing RS data to allow accurate detection and evaluation of treatment response specifically focusing on cancer, cardiac, gastrointestinal, and neurodegenerative diseases. We also highlight the integration of RS with established omics approaches for holistic diagnostic information. Further, we elaborate on metal-free NPs that leverage the biological Raman-silent region overcoming the challenges of traditional metal NPs. We conclude the review with an outlook on future directions that will ultimately allow the adaptation of RS as a clinical approach and revolutionize precision medicine.
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Affiliation(s)
- Gabriel Cutshaw
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Saji Uthaman
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Nora Hassan
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Siddhant Kothadiya
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Xiaona Wen
- Biologics Analytical Research and Development, Merck & Co., Inc., Rahway, NJ, 07065, USA
| | - Rizia Bardhan
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50012, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
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Lin M, Chang J, Meng Y, Wang S, Liu S, Wang Q. Development of a micro-Raman system for in vivo studying the mechanism of laser biological effects. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 291:122382. [PMID: 36739781 DOI: 10.1016/j.saa.2023.122382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 01/03/2023] [Accepted: 01/14/2023] [Indexed: 06/18/2023]
Abstract
The laser irradiation on organism will produce a series of biological effects, which can be used for basic medical research, diagnosis and treatments of diseases. However, the mechanism of this biological effects is still unclear. As a sensitive molecular monitoring technique, Raman spectroscopy has became a very popular detection method in biomedical research especially in vivo study. In this paper, we present a compact and flexible micro-Raman system for in vivo studying the mechanism of laser biological effects. The system has the two functions of laser induction and Raman measurement, which can realize the micro-area radiation of laser and simultaneously collect the corresponding Raman spectra in vivo. The detection method provided by this home-built system is able to deepen the understanding of laser biological effects mechanism at molecular level, so it is expected that the system is significant for the treatments and diagnosis of diseases in the near future.
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Affiliation(s)
- Manman Lin
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China.
| | - Jing Chang
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Yanhong Meng
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Shenghao Wang
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Sheng Liu
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Qiaozhen Wang
- Laboratory of Biophysics, Guangxi Academy of Sciences, Nanning 530003, China
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5
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Lin M, Ou H, Zhang P, Meng Y, Wang S, Chang J, Shen A, Hu J. Laser tweezers Raman spectroscopy combined with machine learning for diagnosis of Alzheimer's disease. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 280:121542. [PMID: 35792482 DOI: 10.1016/j.saa.2022.121542] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 06/12/2022] [Accepted: 06/18/2022] [Indexed: 06/15/2023]
Abstract
Alzheimer's disease (AD) is a common nervous system disease to affect mostly elderly people over the age of 65 years. However, the diagnosis of AD is mainly depend on the imaging examination, clinical assessments and neuropsychological tests, which may get error diagnosis results and are not able to detect early AD. Here, a rapid, non-invasive, and high accuracy diagnostic method for AD especially early AD is provided based on the laser tweezers Raman spectroscopy (LTRS) combined with machine learning algorithms. AD platelets from different 3xTg-AD transgenic rats at different stages of disease are captured to collect high signal-to-noise ratio Raman signals without contact by LTRS, which is then combined with partial least squares discriminant analysis (PLS-DA), support vector machine (SVM) and principal component analysis (PCA)-canonical discriminate function (CDA) for classification. The results show that the normal and diseased platelets at 3-, 6- and 12-month AD are successfully distinguished and the accuracy is 91%, 68% and 97% respectively, which demonstrates the suggested method can provide a precise detection for AD diagnosis at early, middle and advanced stages.
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Affiliation(s)
- Manman Lin
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China; College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
| | - Haisheng Ou
- School of Physical Sciences and Technology, Guangxi Normal University, Guilin 541004, China
| | - Peng Zhang
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Yanhong Meng
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Shenghao Wang
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Jing Chang
- School of Electronic and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China
| | - Aiguo Shen
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China.
| | - Jiming Hu
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China.
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Barik AK, M SP, Lukose J, Upadhya R, Pai MV, Kartha VB, Chidangil S. In vivo spectroscopy: optical fiber probes for clinical applications. Expert Rev Med Devices 2022; 19:657-675. [PMID: 36175393 DOI: 10.1080/17434440.2022.2130046] [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: 11/04/2022]
Abstract
INTRODUCTION Fiber optic probe based in-vivo spectroscopy techniques are fast and highly objective methods for intraoperative diagnoses and minimally invasive surgical interventions for all procedures where endoscopic observations are carried out for cancers of different types. The Raman spectral features provide molecular fingerprint-type information and can reveal the subjects' pathological state in label-free manner, making endoscopy multiplexed fiber optic probe-based devices with the potential for translation from bench to bedside for routine applications. AREAS COVERED This review provides a general overview of different fiber-optic probes for in-vivo measurements with emphasis on Raman spectroscopy for biomedical application. Various aspects such as fiber-optic probe, radiation source, detector, and spectrometer for extracting optimum spectral features have also been discussed. EXPERT OPINION : Optical spectroscopy-based fiber probe systems with "Chip-on-Tip" technology, combined with machine learning, can in the near future, become a complimentary diagnostic tool to magnetic resonance imaging (MRI), computed tomography (CT) scan, ultrasound, etc. Hyperspectral imaging and fluorescence-based devices are in the advanced stage of technology readiness level (TRL), and with advances in lasers and miniature spectroscopy systems, probe-based Raman devices are also coming up.
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Affiliation(s)
- Ajaya Kumar Barik
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
| | - Sanoop Pavithran M
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
| | - Jijo Lukose
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
| | - Rekha Upadhya
- Department of Obstetrics and Gynaecology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education -576104, Manipal, India
| | - Muralidhar V Pai
- Department of Obstetrics and Gynaecology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education -576104, Manipal, India
| | - V B Kartha
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
| | - Santhosh Chidangil
- Centre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education -576104, Manipal, India
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Alix JJP, Plesia M, Hool SA, Coldicott I, Kendall CA, Shaw PJ, Mead RJ, Day JC. Fibre optic Raman spectroscopy for the evaluation of disease state in Duchenne muscular dystrophy: an assessment using the mdx model and human muscle. Muscle Nerve 2022; 66:362-369. [PMID: 35762576 PMCID: PMC9541045 DOI: 10.1002/mus.27671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 06/22/2022] [Accepted: 06/26/2022] [Indexed: 12/04/2022]
Abstract
Introduction/Aims Raman spectroscopy is an emerging technique for the evaluation of muscle disease. In this study we evaluate the ability of in vivo intramuscular Raman spectroscopy to detect the effects of voluntary running in the mdx model of Duchenne muscular dystrophy (DMD). We also compare mdx data with muscle spectra from human DMD patients. Methods Thirty 90‐day‐old mdx mice were randomly allocated to an exercised group (48‐hour access to a running wheel) and an unexercised group (n = 15 per group). In vivo Raman spectra were collected from both gastrocnemius muscles and histopathological assessment subsequently performed. Raman data were analyzed using principal component analysis–fed linear discriminant analysis (PCA‐LDA). Exercised and unexercised mdx muscle spectra were compared with human DMD samples using cosine similarity. Results Exercised mice ran an average of 6.5 km over 48 hours, which induced a significant increase in muscle necrosis (P = .03). PCA‐LDA scores were significantly different between the exercised and unexercised groups (P < .0001) and correlated significantly with distance run (P = .01). Raman spectra from exercised mice more closely resembled human spectra than those from unexercised mice. Discussion Raman spectroscopy provides a readout of the biochemical alterations in muscle in both the mdx mouse and human DMD muscle.
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Affiliation(s)
- James J P Alix
- Sheffield Institute for Translational Neuroscience, University of Sheffield.,Neuroscience Institute, University of Sheffield
| | - Maria Plesia
- Sheffield Institute for Translational Neuroscience, University of Sheffield
| | - Sarah A Hool
- Sheffield Institute for Translational Neuroscience, University of Sheffield
| | - Ian Coldicott
- Sheffield Institute for Translational Neuroscience, University of Sheffield
| | | | - Pamela J Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield.,Neuroscience Institute, University of Sheffield
| | - Richard J Mead
- Sheffield Institute for Translational Neuroscience, University of Sheffield.,Neuroscience Institute, University of Sheffield
| | - John C Day
- Interface Analysis Centre, School of Physics, University of Bristol
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Kang K, Zhou N, Peng W, Peng F, Ma M, Li L, Fu F, Xiang S, Zhang H, He X, Song Z. Multi-Omics Analysis of the Microbiome and Metabolome Reveals the Relationship Between the Gut Microbiota and Wooden Breast Myopathy in Broilers. Front Vet Sci 2022; 9:922516. [PMID: 35812872 PMCID: PMC9260154 DOI: 10.3389/fvets.2022.922516] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 05/23/2022] [Indexed: 11/19/2022] Open
Abstract
Wooden breast (WB) is a widely prevalent myopathy in broiler chickens. However, the role of the gut microbiota in this myopathy remains largely unknown, in particular the regulatory effect of gut microbiota in the modulation of muscle metabolism. Totally, 300 1-day-old Arbor Acres broilers were raised until 49 days and euthanized, and the breast filets were classified as normal (NORM), mild (MILD), or severe wooden breast (SEV). Birds with WB comprised 27.02% of the individuals. Severe WB filets had a greater L* value, a* value, and dripping loss but a lower pH (P < 0.05). WB filets had abundant myofiber fragmentation, with a lower average myofiber caliber and more fibers with a diameter of <20 μm (P < 0.05). The diversity of the intestinal microflora was decreased in birds with severe WB, with decreases in Chao 1, and observed species indices. At the phylum level, birds with severe WB had a lower Firmicutes/Bacteroidetes ratio (P = 0.098) and a decreased abundance of Verrucomicrobia (P < 0.05). At the species level, gut microbiota were positively correlated with 131 digesta metabolites in pathways of glutamine and glutamate metabolism and arginine biosynthesis but were negatively correlated with 30 metabolites in the pathway of tyrosine metabolism. In plasma, WB induced five differentially expressed metabolites (DEMs), including anserine and choline, which were related to the severity of the WB lesion. The microbial-derived metabolites, including guanidoacetic acid, antiarol, and (2E)-decenoyl-ACP, which entered into plasma were related to meat quality traits and myofiber traits. In summary, WB filets differed in gut microbiota, digesta, and plasma metabolites. Gut microbiota respond to the wooden breast myopathy by driving dynamic changes in digesta metabolites that eventually enter the plasma.
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Affiliation(s)
- Kelang Kang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Nanxuan Zhou
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Weishi Peng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Fang Peng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Mengmeng Ma
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Liwei Li
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Fuyi Fu
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Shuhan Xiang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
| | - Haihan Zhang
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
- Hunan Engineering Research Center of Poultry Production Safety, Changsha, China
| | - Xi He
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
- Hunan Engineering Research Center of Poultry Production Safety, Changsha, China
- Hunan Co-Innovation Center of Animal Production Safety, Changsha, China
| | - Zehe Song
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
- Ministry of Education Engineering Research Center of Feed Safety and Efficient Use, Changsha, China
- Hunan Engineering Research Center of Poultry Production Safety, Changsha, China
- Hunan Co-Innovation Center of Animal Production Safety, Changsha, China
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Alix JJP, Plesia M, Lloyd GR, Dudgeon AP, Kendall CA, Hewamadduma C, Hadjivassiliou M, McDermott CJ, Gorman GS, Taylor RW, Shaw PJ, Day JCC. Rapid identification of human muscle disease with fibre optic Raman spectroscopy. Analyst 2022; 147:2533-2540. [PMID: 35545877 PMCID: PMC9150427 DOI: 10.1039/d1an01932e] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
We demonstrate the use of fibre optic Raman spectroscopy for the rapid identification of muscle disorders.
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Affiliation(s)
- James J. P. Alix
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK
- Neuroscience Institute, University of Sheffield, UK
| | - Maria Plesia
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK
| | | | - Alexander P. Dudgeon
- Biophotonics Research Unit, Gloucestershire Hospitals NHS Foundation Trust, UK
- Biomedical Spectroscopy, School of Physics and Astronomy, University of Exeter, UK
| | | | - Channa Hewamadduma
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK
- Neuroscience Institute, University of Sheffield, UK
- Department of Neurology, Sheffield Teaching Hospitals NHS Foundation Trust, UK
| | | | - Christopher J. McDermott
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK
- Neuroscience Institute, University of Sheffield, UK
| | - Gráinne S. Gorman
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Robert W. Taylor
- Wellcome Centre for Mitochondrial Research, Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
- NHS Highly Specialised Service for Rare Mitochondrial Disorders, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Pamela J. Shaw
- Sheffield Institute for Translational Neuroscience, University of Sheffield, UK
- Neuroscience Institute, University of Sheffield, UK
| | - John C. C. Day
- Interface Analysis Centre, School of Physics, University of Bristol, UK
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