Quantification of protein glycation using vibrational spectroscopy
Glycation is a protein modification prevalent in the progression of diseases such as Diabetes and Alzheimer's, as well as a byproduct of therapeutic protein expression, notably for monoclonal antibodies (mAbs). Quantification of glycated protein is thus advantageous in both assessing the advanc...
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Veröffentlicht in: | Analyst (London) 2020-05, Vol.145 (1), p.3686-3696 |
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description | Glycation is a protein modification prevalent in the progression of diseases such as Diabetes and Alzheimer's, as well as a byproduct of therapeutic protein expression, notably for monoclonal antibodies (mAbs). Quantification of glycated protein is thus advantageous in both assessing the advancement of disease diagnosis and for quality control of protein therapeutics. Vibrational spectroscopy has been highlighted as a technique that can easily be modified for rapid analysis of the glycation state of proteins, and requires minimal sample preparation. Glycated samples of lysozyme and albumin were synthesised by incubation with 0.5 M glucose for 30 days. Here we show that both FTIR-ATR and Raman spectroscopy are able to distinguish between glycated and non-glycated proteins. Principal component analysis (PCA) was used to show separation between control and glycated samples. Loadings plots found specific peaks that accounted for the variation - notably a peak at 1027 cm
−1
for FTIR-ATR. In Raman spectroscopy, PCA emphasised peaks at 1040 cm
−1
and 1121 cm
−1
. Therefore, both FTIR-ATR and Raman spectroscopy found changes in peak intensities and wavenumbers within the sugar C-O/C-C/C-N region (1200-800 cm
−1
). For quantification of the level of glycation of lysozyme, partial least squares regression (PLSR), with statistical validation, was employed to analyse Raman spectra from solution samples containing 0-100% glycated lysozyme, generating a robust model with
R
2
of 0.99. We therefore show the scope and potential of Raman spectroscopy as a high throughput quantification method for glycated proteins in solution that could be applied in disease diagnostics, as well as therapeutic protein quality control.
FTIR-ATR and Raman spectroscopy can distinguish between glycated and non-glycated proteins. |
doi_str_mv | 10.1039/c9an02318f |
format | Article |
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−1
for FTIR-ATR. In Raman spectroscopy, PCA emphasised peaks at 1040 cm
−1
and 1121 cm
−1
. Therefore, both FTIR-ATR and Raman spectroscopy found changes in peak intensities and wavenumbers within the sugar C-O/C-C/C-N region (1200-800 cm
−1
). For quantification of the level of glycation of lysozyme, partial least squares regression (PLSR), with statistical validation, was employed to analyse Raman spectra from solution samples containing 0-100% glycated lysozyme, generating a robust model with
R
2
of 0.99. We therefore show the scope and potential of Raman spectroscopy as a high throughput quantification method for glycated proteins in solution that could be applied in disease diagnostics, as well as therapeutic protein quality control.
FTIR-ATR and Raman spectroscopy can distinguish between glycated and non-glycated proteins.</description><identifier>ISSN: 0003-2654</identifier><identifier>EISSN: 1364-5528</identifier><identifier>DOI: 10.1039/c9an02318f</identifier><identifier>PMID: 32319996</identifier><language>eng</language><publisher>England: Royal Society of Chemistry</publisher><subject>Albumins ; Albumins - metabolism ; Fourier transforms ; Glycosylation ; Humans ; Infrared spectroscopy ; Lysozyme ; Monoclonal antibodies ; Muramidase - metabolism ; Principal components analysis ; Proteins ; Quality control ; Raman spectra ; Raman spectroscopy ; Regression analysis ; Spectroscopy, Fourier Transform Infrared ; Spectrum analysis ; Spectrum Analysis, Raman ; Statistical analysis ; Statistical methods ; Vibration</subject><ispartof>Analyst (London), 2020-05, Vol.145 (1), p.3686-3696</ispartof><rights>Copyright Royal Society of Chemistry 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-553cc603bcc0eeecb9806f53e47e75ffcc3d1406cf6d0aed5fc4c34f983cae9c3</citedby><cites>FETCH-LOGICAL-c440t-553cc603bcc0eeecb9806f53e47e75ffcc3d1406cf6d0aed5fc4c34f983cae9c3</cites><orcidid>0000-0002-2879-0281 ; 0000-0003-2230-645X ; 0000-0003-0346-2270 ; 0000-0001-5763-7676 ; 0000-0002-7720-586X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,2831,2832,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32319996$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>McAvan, Bethan S</creatorcontrib><creatorcontrib>France, Aidan P</creatorcontrib><creatorcontrib>Bellina, Bruno</creatorcontrib><creatorcontrib>Barran, Perdita E</creatorcontrib><creatorcontrib>Goodacre, Royston</creatorcontrib><creatorcontrib>Doig, Andrew J</creatorcontrib><title>Quantification of protein glycation using vibrational spectroscopy</title><title>Analyst (London)</title><addtitle>Analyst</addtitle><description>Glycation is a protein modification prevalent in the progression of diseases such as Diabetes and Alzheimer's, as well as a byproduct of therapeutic protein expression, notably for monoclonal antibodies (mAbs). Quantification of glycated protein is thus advantageous in both assessing the advancement of disease diagnosis and for quality control of protein therapeutics. Vibrational spectroscopy has been highlighted as a technique that can easily be modified for rapid analysis of the glycation state of proteins, and requires minimal sample preparation. Glycated samples of lysozyme and albumin were synthesised by incubation with 0.5 M glucose for 30 days. Here we show that both FTIR-ATR and Raman spectroscopy are able to distinguish between glycated and non-glycated proteins. Principal component analysis (PCA) was used to show separation between control and glycated samples. Loadings plots found specific peaks that accounted for the variation - notably a peak at 1027 cm
−1
for FTIR-ATR. In Raman spectroscopy, PCA emphasised peaks at 1040 cm
−1
and 1121 cm
−1
. Therefore, both FTIR-ATR and Raman spectroscopy found changes in peak intensities and wavenumbers within the sugar C-O/C-C/C-N region (1200-800 cm
−1
). For quantification of the level of glycation of lysozyme, partial least squares regression (PLSR), with statistical validation, was employed to analyse Raman spectra from solution samples containing 0-100% glycated lysozyme, generating a robust model with
R
2
of 0.99. We therefore show the scope and potential of Raman spectroscopy as a high throughput quantification method for glycated proteins in solution that could be applied in disease diagnostics, as well as therapeutic protein quality control.
FTIR-ATR and Raman spectroscopy can distinguish between glycated and non-glycated proteins.</description><subject>Albumins</subject><subject>Albumins - metabolism</subject><subject>Fourier transforms</subject><subject>Glycosylation</subject><subject>Humans</subject><subject>Infrared spectroscopy</subject><subject>Lysozyme</subject><subject>Monoclonal antibodies</subject><subject>Muramidase - metabolism</subject><subject>Principal components analysis</subject><subject>Proteins</subject><subject>Quality control</subject><subject>Raman spectra</subject><subject>Raman spectroscopy</subject><subject>Regression analysis</subject><subject>Spectroscopy, Fourier Transform Infrared</subject><subject>Spectrum analysis</subject><subject>Spectrum Analysis, Raman</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Vibration</subject><issn>0003-2654</issn><issn>1364-5528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kUFLw0AQhRdRbK1evCsRLyJEJ9ndNHusxapQFEHPYTPZLVvSJO4mQv69a1srePA0zLyP4c0bQk4juImAilsUsoKYRqneI8OIJizkPE73yRAAaBgnnA3IkXNL30bA4ZAMqKeFEMmQ3L12smqNNihbU1dBrYPG1q0yVbAo--2wc6ZaBJ8mt-teloFrFLa2dlg3_TE50LJ06mRbR-R9dv82fQznLw9P08k8RMag9Z4oYgI0RwSlFOYihURzqthYjbnWiLSIGCSokwKkKrhGhpRpkVKUSiAdkavNXm_wo1OuzVbGoSpLWam6c1lMBeVjFnPm0cs_6LLurDfuKQYMfEbeyYhcbyj0lzirdNZYs5K2zyLIvpPNpmLyvE525uHz7couX6lih_5E6YGzDWAd7tTf13j94j89awpNvwCWkYnk</recordid><startdate>20200521</startdate><enddate>20200521</enddate><creator>McAvan, Bethan S</creator><creator>France, Aidan P</creator><creator>Bellina, Bruno</creator><creator>Barran, Perdita E</creator><creator>Goodacre, Royston</creator><creator>Doig, Andrew J</creator><general>Royal Society of Chemistry</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-2879-0281</orcidid><orcidid>https://orcid.org/0000-0003-2230-645X</orcidid><orcidid>https://orcid.org/0000-0003-0346-2270</orcidid><orcidid>https://orcid.org/0000-0001-5763-7676</orcidid><orcidid>https://orcid.org/0000-0002-7720-586X</orcidid></search><sort><creationdate>20200521</creationdate><title>Quantification of protein glycation using vibrational spectroscopy</title><author>McAvan, Bethan S ; France, Aidan P ; Bellina, Bruno ; Barran, Perdita E ; Goodacre, Royston ; Doig, Andrew J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c440t-553cc603bcc0eeecb9806f53e47e75ffcc3d1406cf6d0aed5fc4c34f983cae9c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Albumins</topic><topic>Albumins - metabolism</topic><topic>Fourier transforms</topic><topic>Glycosylation</topic><topic>Humans</topic><topic>Infrared spectroscopy</topic><topic>Lysozyme</topic><topic>Monoclonal antibodies</topic><topic>Muramidase - metabolism</topic><topic>Principal components analysis</topic><topic>Proteins</topic><topic>Quality control</topic><topic>Raman spectra</topic><topic>Raman spectroscopy</topic><topic>Regression analysis</topic><topic>Spectroscopy, Fourier Transform Infrared</topic><topic>Spectrum analysis</topic><topic>Spectrum Analysis, Raman</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Vibration</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McAvan, Bethan S</creatorcontrib><creatorcontrib>France, Aidan P</creatorcontrib><creatorcontrib>Bellina, Bruno</creatorcontrib><creatorcontrib>Barran, Perdita E</creatorcontrib><creatorcontrib>Goodacre, Royston</creatorcontrib><creatorcontrib>Doig, Andrew J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Analyst (London)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McAvan, Bethan S</au><au>France, Aidan P</au><au>Bellina, Bruno</au><au>Barran, Perdita E</au><au>Goodacre, Royston</au><au>Doig, Andrew J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Quantification of protein glycation using vibrational spectroscopy</atitle><jtitle>Analyst (London)</jtitle><addtitle>Analyst</addtitle><date>2020-05-21</date><risdate>2020</risdate><volume>145</volume><issue>1</issue><spage>3686</spage><epage>3696</epage><pages>3686-3696</pages><issn>0003-2654</issn><eissn>1364-5528</eissn><abstract>Glycation is a protein modification prevalent in the progression of diseases such as Diabetes and Alzheimer's, as well as a byproduct of therapeutic protein expression, notably for monoclonal antibodies (mAbs). Quantification of glycated protein is thus advantageous in both assessing the advancement of disease diagnosis and for quality control of protein therapeutics. Vibrational spectroscopy has been highlighted as a technique that can easily be modified for rapid analysis of the glycation state of proteins, and requires minimal sample preparation. Glycated samples of lysozyme and albumin were synthesised by incubation with 0.5 M glucose for 30 days. Here we show that both FTIR-ATR and Raman spectroscopy are able to distinguish between glycated and non-glycated proteins. Principal component analysis (PCA) was used to show separation between control and glycated samples. Loadings plots found specific peaks that accounted for the variation - notably a peak at 1027 cm
−1
for FTIR-ATR. In Raman spectroscopy, PCA emphasised peaks at 1040 cm
−1
and 1121 cm
−1
. Therefore, both FTIR-ATR and Raman spectroscopy found changes in peak intensities and wavenumbers within the sugar C-O/C-C/C-N region (1200-800 cm
−1
). For quantification of the level of glycation of lysozyme, partial least squares regression (PLSR), with statistical validation, was employed to analyse Raman spectra from solution samples containing 0-100% glycated lysozyme, generating a robust model with
R
2
of 0.99. We therefore show the scope and potential of Raman spectroscopy as a high throughput quantification method for glycated proteins in solution that could be applied in disease diagnostics, as well as therapeutic protein quality control.
FTIR-ATR and Raman spectroscopy can distinguish between glycated and non-glycated proteins.</abstract><cop>England</cop><pub>Royal Society of Chemistry</pub><pmid>32319996</pmid><doi>10.1039/c9an02318f</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2879-0281</orcidid><orcidid>https://orcid.org/0000-0003-2230-645X</orcidid><orcidid>https://orcid.org/0000-0003-0346-2270</orcidid><orcidid>https://orcid.org/0000-0001-5763-7676</orcidid><orcidid>https://orcid.org/0000-0002-7720-586X</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Royal Society of Chemistry Journals Archive (1841-2007); Royal Society Of Chemistry Journals 2008-; Alma/SFX Local Collection |
subjects | Albumins Albumins - metabolism Fourier transforms Glycosylation Humans Infrared spectroscopy Lysozyme Monoclonal antibodies Muramidase - metabolism Principal components analysis Proteins Quality control Raman spectra Raman spectroscopy Regression analysis Spectroscopy, Fourier Transform Infrared Spectrum analysis Spectrum Analysis, Raman Statistical analysis Statistical methods Vibration |
title | Quantification of protein glycation using vibrational spectroscopy |
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