Baza Publikacji Pracowników Politechniki Lubelskiej

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Warianty tytułu:	Fourier Transform Infrared Microspectroscopy Combined with Principal Component Analysis and Artificial Neural Networks for the Study of the Effect of beta-Hydroxy-beta-Methylbutyrate (HMB) Supplementation on Articular Cartilage
Autorzy:	Świetlicka Izabela, Muszyński Siemowit, Prein Carina, Clausen-Schaumann Hauke, Aszodi Attila, Arciszewski Marcin B., Blicharski Tomasz, Gagoś Mariusz, Świetlicki Michał, Dobrowolski Piotr, Kras Katarzyna, Tomaszewska Ewa, Arczewska Marta
Dyscypliny:
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Rok wydania:	2021
Wersja dokumentu:	Drukowana \| Elektroniczna
Język:	angielski
Numer czasopisma:	17
Wolumen/Tom:	22
Numer artykułu:	9189
Strony:	1 - 19
Impact Factor:	6,208
Web of Science® Times Cited:	4
Scopus® Cytowania:	4
Bazy:	Web of Science \| Scopus
Efekt badań statutowych	NIE
Materiał konferencyjny:	NIE
Publikacja OA:	TAK
Licencja:
Sposób udostępnienia:	Witryna wydawcy
Wersja tekstu:	Ostateczna wersja opublikowana
Czas opublikowania:	W momencie opublikowania
Data opublikowania w OA:	25 sierpnia 2021
Abstrakty:	angielski
	The potential of Fourier Transform infrared microspectroscopy (FTIR microspectroscopy) and multivariate analyses were applied for the classification of the frequency ranges responsible for the distribution changes of the main components of articular cartilage (AC) that occur during dietary β-hydroxy-β-methyl butyrate (HMB) supplementation. The FTIR imaging analysis of histological AC sections originating from 35-day old male piglets showed the change in the collagen and proteoglycan contents of the HMB-supplemented group compared to the control. The relative amount of collagen content in the superficial zone increased by more than 23% and in the middle zone by about 17%, while no changes in the deep zone were observed compared to the control group. Considering proteoglycans content, a significant increase was registered in the middle and deep zones, respectively; 62% and 52% compared to the control. AFM nanoindentation measurements collected from animals administered with HMB displayed an increase in AC tissue stiffness by detecting a higher value of Young’s modulus in all investigated AC zones. We demonstrated that principal component analysis and artificial neural networks could be trained with spectral information to distinguish AC histological sections and the group under study accurately. This work may support the use and effectiveness of FTIR imaging combined with multivariate analyses as a quantitative alternative to traditional collagenous tissue-related histology.

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Fourier Transform Infrared Microspectroscopy Combined with Principal Component Analysis and Artificial Neural Networks for the Study of the Effect of β-Hydroxy-β-Methylbutyrate (HMB) Supplementation on Articular Cartilage

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