Evidence mapPaperPMID 39619662Full record

ArticleFrontiers in cellular and infection microbiology2024

Saliva NIR spectroscopy and Aquaphotomics: a novel diagnostic approach to Paratuberculosis in dairy cattle.

Saba Behdad, Abbas Pakdel, Reza Massudi

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Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

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3 authors.

Saba BehdadDepartment of Animal Science, College of Agriculture, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Abbas PakdelDepartment of Animal Science, College of Agriculture, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Reza MassudiDepartment of Animal Science, College of Agriculture, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Paratuberculosis is a granulomatous intestinal infection that affects ruminant animals worldwide. The disease is often detected when most animals are already infected due to the long incubation period and the high transmissibility of the infectious agent. The lack of a comprehensive method to diagnose Paratuberculosis is a global challenge. Therefore, a non-destructive, fast, and cost-effective diagnostic method for early detection of Paratuberculosis is crucial. Methods: Near-infrared spectroscopy (NIRS) and Aquaphotomics have the potential to diagnose the disease by detecting changes in biological fluids. This study aimed to investigate the diagnostic ability of NIRS and Aquaphotomics for Paratuberculosis in dairy cattle by monitoring and data mining of saliva. The diagnostic models were developed according to saliva spectra of dairy cattle in the NIR range and 12 water absorbance bands from 100 to 200 days after calving in two groups: positive and negative, based on the same results of seven ELISA tests of blood plasma, as a reference test. Results: Both NIRS and Aquaphotomics methods had high diagnostic accuracy. Using QDA and SVM models, 99% total accuracy, 98% sensitivity, and 100% specificity were achieved in internal validation. The total accuracy in external validation was 90%. This study presents two novel approaches to diagnosing Paratuberculosis in dairy cattle using saliva. Discussion: The study found that changes in water absorbance spectral patterns of saliva caused by complex physiological changes, such as the amount of antibody related to Paratuberculosis in dairy cattle as biomarkers, are crucial in detecting Paratuberculosis using NIRS and Aquaphotomics.

Indexed as

Cattle DiseasesParatuberculosisSalivaSpectroscopy, Near-InfraredAnimalsCattleDairyingEnzyme-Linked Immunosorbent AssayFemaleMycobacterium avium subsp. paratuberculosisSensitivity and SpecificityAquaphotomicsJohne’s diseaseMycobacterium avium subspecies ParatuberculosisNear-Infrared spectroscopysaliva

Identifiers

PMID39619662
PMCPMC11605387

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.