Determination of serum amyloid A, haptoglobin and hepcidin levels in calves with endemic viral pneumonia

Dörtkardeş, Ali Burak; Şahinduran, Şima

doi:10.33988/auvfd.523958

Cited by 8 publications

(4 citation statements)

References 23 publications

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“…A variety of physiological markers related to the innate immune response have been evaluated for prediction and detection of BRD infection. These have included white blood cell counts [ 28 – 30 ] interleukins and cytokines [ 31 ] and markers of oxidative stress [ 32 ]. However, across multiple studies, elevated haptoglobin levels have been found to be consistently indicative or predictive of BRD infection [ 29 , 30 , 32 – 34 ].…”

Section: Introductionmentioning

confidence: 99%

“…These have included white blood cell counts [ 28 – 30 ] interleukins and cytokines [ 31 ] and markers of oxidative stress [ 32 ]. However, across multiple studies, elevated haptoglobin levels have been found to be consistently indicative or predictive of BRD infection [ 29 , 30 , 32 – 34 ]. There is moderate evidence for the involvement of cortisol, however, the presence of other stressors in cattle entering a feedlot may limit the effectiveness of cortisol as a BRD biomarker [ 34 , 35 ].…”

Section: Introductionmentioning

confidence: 99%

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Comparison of physiological markers, behavior monitoring, and clinical illness scoring as indicators of an inflammatory response in beef cattle

Juge,

Cooke,

Ceja

et al. 2024

PLoS ONE

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Clinical illness (CI) scoring using visual observation is the most widely applied method of detecting respiratory disease in cattle but has limited effectiveness in practice. In contrast, body-mounted sensor technology effectively facilitates disease detection. To evaluate whether a combination of movement behavior and CI scoring is effective for disease detection, cattle were vaccinated to induce a temporary inflammatory immune response. Cattle were evaluated before and after vaccination to identify the CI variables that are most indicative of sick cattle. Respiratory rate (H2 = 43.08, P < 0.0001), nasal discharge (H2 = 8.35, P = 0.015), and ocular discharge (H2 = 16.38, P = 0.0003) increased after vaccination, and rumen fill decreased (H2 = 20.10, P < 0.0001). Locomotor activity was measured via leg-mounted sensors for the four days preceding and seven days following vaccination. A statistical model that included temperature, steps, lying time, respiratory rate, rumen fill, head position, and excess saliva was developed to distinguish between scores from before and after vaccination with a sensitivity of 0.898 and specificity of 0.915. Several clinical illness signs were difficult to measure in practice. Binoculars were required for scoring respiratory rate and eye-related metrics, and cattle had to be fitted with colored collars for individual identification. Scoring each animal took up to three minutes in a small research pen; therefore, technologies that can automate both behavior monitoring and identification of clinical illness signs are key to improving capacity for BRD detection and treatment.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comparison of physiological markers, behavior monitoring, and clinical illness scoring as indicators of an inflammatory response in beef cattle

Juge,

Cooke,

Ceja

et al. 2024

PLoS ONE

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“…Vaccination with a respiratory vaccine containing a strong adjuvant has been validated as a model of the inflammatory response induced by BRD (12). The acute-phase protein haptoglobin was elevated in cattle affected by BRD (13)(14)(15)(16)(17) and reached similar levels 24-96 h after vaccination (12). Cortisol was also associated with poor health outcomes in cattle (17, 18), and peaked 2-8 h after vaccination (12).…”

Section: Introductionmentioning

confidence: 99%

Dogs' ability to detect an inflammatory immune response in cattle via olfaction

Juge,

Hall,

Richeson

et al. 2024

Front. Vet. Sci.

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IntroductionCanine olfaction is a potential means for detection of respiratory disease in beef cattle. In a prior study, two dogs were trained to discriminate between nasal swabs from healthy cattle and cattle that developed Bovine Respiratory Disease. Dogs had some ability to identify samples from BRD-affected cattle, but results were ambiguous. The purpose of this study was to evaluate more dogs using better-controlled training and testing procedures.MethodsNasal and saliva swabs were collected from 96 cattle before and after administering a vaccine to induce an inflammatory immune response. Samples were stored at −80°C for up to 11 months before use, and samples from animals with an elevated body temperature at baseline were omitted. An automated olfactometer apparatus was constructed to improve blinding procedures and reduce opportunities for odor contamination. Four dogs were trained to distinguish between swabs from healthy and sickness-model cattle, including the two dogs from the previous study (“Runnels” and “Cheaps”) and two inexperienced dogs (“Molokai” and “Amy”). During a seven-month training period, dogs were exposed to samples from 28 animals. Dogs were tested on 59 sets of unfamiliar samples.ResultsPerformance varied among dogs (χ2 = 10.48, p = 0.02). Molokai's performance was above chance (0.73 ± 0.06, p = 0.0006), while Amy (0.44 ± 0.06, p = 0.43), Cheaps (0.53 ± 0.07, p = 0.79), and Runnels (0.56 ± 0.06, p = 0.43) did not respond correctly at a rate different from chance. Accuracy did not differ between nasal swabs (0.63 ± 0.08) and saliva swabs (0.53 ± 0.08, χ2 = 0.81, p = 0.37).DiscussionThe results of this study indicate that canine olfaction may be an effective means of detecting illness in beef cattle. However, individual dogs' aptitude for this detection task varies.

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“…For example, a previous study demonstrated that CRP could achieve a sensitivity of 74.5% and specificity of 81% for readmission events among AECOPD patients. 6 Among new biomarkers investigated, serum amyloid A (SAA), which is a polygenic encoded acute temporal response protein, has stood out as patients in the early stage of viral pneumonia, 8 early non-invasive bacterial pneumonia, 9 COVID19, 10 rheumatic diseases, 11 etc.…”

Section: Introductionmentioning

confidence: 99%

Correlation of Serum Clara Cell Secretory Protein 16, Plasma Fibrinogen and Serum Amyloid A with the Severity of Acute Exacerbated COPD and Their Combination in Prognosis Assessment

Hu,

Xu,

et al. 2023

COPD

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Introduction Chronic obstructive pulmonary disease (COPD) has tremendous detrimental effects on patients’ quality of life, lung function, disease progression and socioeconomic burden. This study aimed to investigate new serum biomarkers for COPD detection. Three recently emerging biomarkers, including Clara cell secretory protein⁃16 (CC16), plasma fibrinogen (FIB) and serum amyloid A (SAA), were investigated for their potential in stratifying the severity of COPD. Methods A total of 220 patients with AECOPD were recruited. Multivariate logistical regression was used to analyze odds ratios of an array of characteristic of patients, including age, global initiative for chronic obstructive lung disease (GOLD), diabetes mellitus, heart diseases, PaCO2, CC16, FIB, and SAA. Correlations of CC16, FIB and SAA levels to each other, GOLD, and PaCO2 were also measured using Spearman correlation. Receiver operating characteristic (ROC)/curve analysis was used to assess sensitivity and specificity of CC16, FIB, SAA and the combination of the three markers in identifying AECOPD patients with poor prognosis. Results Our data suggested that age, GOLD, diabetes mellitus, heart diseases, PaCO2, CC16, FIB, and SAA are all significant risk factors for poor prognosis of AECOPD. CC16, FIB and SAA were positively correlated to each other and to GOLD and PaCO2 levels. CC16, FIB and SAA all had a high sensitivity and specificity in identifying patients with a poor prognosis. CC16, FIB and SAA are new markers with potentially high predictive value in AECOPD. Discussion Our data support further development of these biomarkers to improve clinical management of AECOPD through providing more accurate prognosis of AECOPD patients that enable timely adjustment of treatment plans.

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Determination of serum amyloid A, haptoglobin and hepcidin levels in calves with endemic viral pneumonia

Cited by 8 publications

References 23 publications

Comparison of physiological markers, behavior monitoring, and clinical illness scoring as indicators of an inflammatory response in beef cattle

Comparison of physiological markers, behavior monitoring, and clinical illness scoring as indicators of an inflammatory response in beef cattle

Dogs' ability to detect an inflammatory immune response in cattle via olfaction

Correlation of Serum Clara Cell Secretory Protein 16, Plasma Fibrinogen and Serum Amyloid A with the Severity of Acute Exacerbated COPD and Their Combination in Prognosis Assessment

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