Pregled bibliografske jedinice broj: 1266232
Serum Proteomic Profiles Reflect the Stages of Myxomatous Mitral Valve Disease in Dogs
Serum Proteomic Profiles Reflect the Stages of Myxomatous Mitral Valve Disease in Dogs // International journal of molecular sciences, 24 (2023), 8; 7142, 25 doi:10.3390/ijms24087142 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1266232 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Serum Proteomic Profiles Reflect the Stages of
Myxomatous Mitral Valve Disease in Dogs
Autori
Rešetar Maslov, Dina ; Farkaš, Vladimir ; Rubić, Ivana ; Kuleš, Josipa ; Beletić, Anđelo ; Beer Ljubić, Blanka ; Šmit, Iva ; Mrljak, Vladimir ; Torti, Marin
Izvornik
International journal of molecular sciences (1422-0067) 24
(2023), 8;
7142, 25
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
myxomatous mitral valve disease ; proteomics ; dogs ; innate immune system ; inflammation ; echocardiography
Sažetak
Canine myxomatous mitral valve disease (MMVD) is similar to Barlow’s form of MMVD in humans. These valvulopathies are complex, with varying speeds of progression. We hypothesized that the relative abundances of serum proteins would help identify the consecutive MMVD stages and discover new disease pathways on a systemic level. To identify distinction-contributing protein panels for disease onset and progression, we compared the proteomic profiles of serum from healthy dogs and dogs with different stages of naturally occurring MMVD. Dogs were divided into experimental groups on the basis of the left-atrium-to-aorta ratio and normalized left ventricular internal dimension in diastole values. Serum was collected from healthy (N = 12) dogs, dogs diagnosed with MMVD in stages B1 (N = 13) and B2 (N = 12) (asymptomatic), and dogs diagnosed with MMVD in chronic stage C (N = 13) (symptomatic). Serum biochemistry and selected ELISAs (galectin-3, suppression of tumorigenicity, and asymmetric dimethylarginine) were performed. Liquid chromatography–mass spectrometry (LC–MS), tandem mass tag (TMT) quantitative proteomics, and statistical and bioinformatics analysis were employed. Most of the 21 serum proteins with significantly different abundances between experimental groups (p < 0.05, FDR ˂ 0.05) were classified as matrix metalloproteinases, protease inhibitors, scaffold/adaptor proteins, complement components, anticoagulants, cytokine, and chaperone. LC–MS TMT proteomics results obtained for haptoglobin, clusterin, and peptidase D were further validated analytically. Canine MMVD stages, including, for the first time, asymptomatic B1 and B2 stages, were successfully distinguished in dogs with the disease and healthy dogs on the basis of the relative abundances of a panel of specific serum proteins. Most proteins with significantly different abundances were involved in immune and inflammatory pathways. Their role in structural remodeling and progression of canine MMVD must be further investigated. Further research is needed to confirm the resemblance/difference with human MMVD. Proteomics data are available via ProteomeXchange with the unique dataset identifier PXD038475.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Interdisciplinarne prirodne znanosti, Kliničke medicinske znanosti, Interdisciplinarne biotehničke znanosti, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)
POVEZANOST RADA
Projekti:
--KK.01.1.1.04.0086 - Razvoj inovativnog brzog testa za dijagnozu subkliničkog mastitisa u mliječnih krava (Lisnić, Berislav; Lenac Roviš, Tihana; Mrljak, Vladimir) ( CroRIS)
Ustanove:
Veterinarski fakultet, Zagreb
Profili:
Dina Rešetar-Maslov
(autor)
Marin Torti
(autor)
Vladimir Farkaš
(autor)
Blanka Beer Ljubić
(autor)
Vladimir Mrljak
(autor)
Ivana Rubić
(autor)
Iva Šmit
(autor)
Josipa Kuleš
(autor)
Poveznice na cjeloviti tekst rada:
Pristup cjelovitom tekstu rada doi www.mdpi.com www.researchgate.netCitiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE