Spectrochemical analysis of blood combined with chemometric techniques for detecting osteosarcopenia

被引：3

作者：

da Silva, Tales Gomes ^{[1
]}

Morais, Camilo L. M. ^{[1
]}

Santos, Marfran C. D. ^{[1
,2
]}

de Lima, Leomir A. S. ^{[3
]}

Freitas, Raysa Vanessa de Medeiros ^{[4
]}

Guerra, Ricardo Oliveira ^{[4
,5
,6
]}

Lima, Kassio M. G. ^{[1
]}

机构：

[1] Univ Fed Rio Grande do Norte, Inst Chem Biol Chem & Chemometr, BR-59075970 Natal, Brazil

[2] Fed Inst Educ, Sci & Technol Sertao Pernambucano, BR-56400000 Floresta, Brazil

[3] Estacio Sa Goias, North Reg, BR-74063010 Goiania, GO, Brazil

[4] Univ Fed Rio Grande do Norte, Postgrad Program Hlth Sci, BR-59075970 Natal, Brazil

[5] Univ Fed Rio Grande do Norte, Postgrad Program Physiotherapy, BR-59075970 Natal, Brazil

[6] Univ Fed Rio Grande do Norte, Dept Physiotherapy, BR-59075970 Natal, Brazil

来源：

SCIENTIFIC REPORTS | 2023年 / 13卷 / 01期

关键词：

COMPUTATIONAL ANALYSIS; SPECTROSCOPY;

D O I：

10.1038/s41598-023-36834-6

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Among several complications related to physiotherapy, osteosarcopenia is one of the most frequent in elderly patients. This condition is limiting and quite harmful to the patient's health by disabling several basic musculoskeletal activities. Currently, the test to identify this health condition is complex. In this study, we use mid-infrared spectroscopy combined with chemometric techniques to identify osteosarcopenia based on blood serum samples. The purpose of this study was to evaluate the mid-infrared spectroscopy power to detect osteosarcopenia in community-dwelling older women (n = 62, 30 from patients with osteosarcopenia and 32 healthy controls). Feature reduction and selection techniques were employed in conjunction with discriminant analysis, where a principal component analysis with support vector machines (PCA-SVM) model achieved 89% accuracy to distinguish the samples from patients with osteosarcopenia. This study shows the potential of using infrared spectroscopy of blood samples to identify osteosarcopenia in a simple, fast and objective way.

引用

页数：7

共 28 条

[1] Clinical applications of infrared and Raman spectroscopy: state of play and future challenges [J].

Baker, Matthew J. ;

Byrne, Hugh J. ;

Chalmers, John ;

Gardner, Peter ;

Goodacre, Royston ;

Henderson, Alex ;

Kazarian, Sergei G. ;

Martin, Francis L. ;

Moger, Julian ;

Stone, Nick ;

Sule-Suso, Josep .

ANALYST, 2018, 143 (08) :1735-1757

[2] Using Fourier transform IR spectroscopy to analyze biological materials [J].

Baker, Matthew J. ;

Trevisan, Julio ;

Bassan, Paul ;

Bhargava, Rohit ;

Butler, Holly J. ;

Dorling, Konrad M. ;

Fielden, Peter R. ;

Fogarty, Simon W. ;

Fullwood, Nigel J. ;

Heys, Kelly A. ;

Hughes, Caryn ;

Lasch, Peter ;

Martin-Hirsch, Pierre L. ;

Obinaju, Blessing ;

Sockalingum, Ganesh D. ;

Sule-Suso, Josep ;

Strong, Rebecca J. ;

Walsh, Michael J. ;

Wood, Bayden R. ;

Gardner, Peter ;

Martin, Francis L. .

NATURE PROTOCOLS, 2014, 9 (08) :1771-1791

[3] Spectrochemical differentiation in gestational diabetes mellitus based on attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy and multivariate analysis [J].

Bernardes-Oliveira, Emanuelly ;

Dantas de Freitas, Daniel Lucas ;

Medeiros de Morais, Camilo de Lelis ;

de Mesquita Cornetta, Maria da Conceicao ;

de Araujo Santos Camargo, Juliana Dantas ;

Gomes de Lima, Kassio Michell ;

de Oliveira Crispim, Janaina Cristiana .

SCIENTIFIC REPORTS, 2020, 10 (01)

[4] Principal component analysis [J].

Bro, Rasmus ;

Smilde, Age K. .

ANALYTICAL METHODS, 2014, 6 (09) :2812-2831

[5]

CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1023/A:1022627411411

[6] Sarcopenia: revised European consensus on definition and diagnosis [J].

Cruz-Jentoft, Alfonso J. ;

Bahat, Gulistan ;

Bauer, Juergen ;

Boirie, Yves ;

Bruyere, Olivier ;

Cederholm, Tommy ;

Cooper, Cyrus ;

Landi, Francesco ;

Rolland, Yves ;

Sayer, Avan Aihie ;

Schneider, Stephane M. ;

Sieber, Cornel C. ;

Topinkova, Eva ;

Vandewoude, Maurits ;

Visser, Marjolein ;

Zamboni, Mauro .

AGE AND AGEING, 2019, 48 (01) :16-31

[7] Comparison of performance of five common classifiers represented as boundary methods: Euclidean Distance to Centroids, Linear Discriminant Analysis, Quadratic Discriminant Analysis, Learning Vector Quantization and Support Vector Machines, as dependent on data structure [J].

Dixon, Sarah J. ;

Brereton, Richard G. .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2009, 95 (01) :1-17

[8] Sarcopenia: An Undiagnosed Condition in Older Adults. Current Consensus Definition: Prevalence, Etiology, and Consequences. International Working Group on Sarcopenia [J].

Fielding, Roger A. ;

Vellas, Bruno ;

Evans, William J. ;

Bhasin, Shalender ;

Morley, John E. ;

Newman, Anne B. ;

van Kan, Gabor Abelian ;

Andrieu, Sandrine ;

Bauer, Juergen ;

Breuille, Denis ;

Cederholm, Tommy ;

Chandler, Julie ;

De Meynard, Capucine ;

Donini, Lorenzo ;

Harris, Tamara ;

Kannt, Aimo ;

Guibert, Florence Keime ;

Onder, Graziano ;

Papanicolaou, Dimitris ;

Rolland, Yves ;

Rooks, Daniel ;

Sieber, Cornet ;

Souhami, Elisabeth ;

Verlaan, Sjors ;

Zamboni, Mauro .

JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION, 2011, 12 (04) :249-256

[9] Spectrochemical analysis of liquid biopsy harnessed to multivariate analysis towards breast cancer screening [J].

Freitas, Daniel L. D. ;

Camara, Ingrid M. ;

Silva, Priscila P. ;

Wanderley, Nathalia R. S. ;

Alves, Maria B. C. ;

Morais, Camilo L. M. ;

Martin, Francis L. ;

Lajus, Tirzah B. P. ;

Lima, Kassio M. G. .

SCIENTIFIC REPORTS, 2020, 10 (01)

[10] Therapies for Musculoskeletal Disease: Can we Treat Two Birds with One Stone? [J].

Girgis, Christian M. ;

Mokbel, Nancy ;

DiGirolamo, Douglas J. .

CURRENT OSTEOPOROSIS REPORTS, 2014, 12 (02) :142-153

← 1 2 3 →