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      염증성 질환이 있는 야생 조류에서 혈청 아밀로이드 A의 진단 지표로써의 평가 = Evaluation of Serum Amyloid A as a Diagnostic Marker in Wild Birds with Inflammatory Disease

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      https://www.riss.kr/link?id=T16389445

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      다국어 초록 (Multilingual Abstract)

      Wild birds are exposed to direct killing by human activities, as well as indirect threats from humans, ranging from environmental pollution, habitat destruction, and climate change. This study aimed to identify the most damaging problems for free-ranging birds and the trends in their injuries and diseases, by analyzing the records of birds rescued from the Jeonbuk Wildlife Center in South Korea. Medical data, including species, date and region of rescue, cause of admission, diagnoses, husbandry and treatment records, and outcomes, were collected from January 2019 to February 2021. A total of 1,464 birds belonging to 106 species were included.
      The two most frequent causes of admission were healthy orphans and window collisions. The number of admissions due to anthropogenic causes was 43.6%; however, it reached 80% when the considering factors were estimated to be caused by humans. A total of 71% of the diagnoses were associated with trauma, which was much higher than 51% of the causes expected to be traumatic. Inflammatory diseases were found in 82% of the examined birds, regardless of the cause of admission. A total of 82% of the diagnoses were inflammatory diseases, which was also much higher than the 57% expected rescue due to inflammation. This was because the nature of wild animals that hide illness and the inflammatory state was difficult to detect sensitively by general physical examination.
      To assess the exact condition of the patient, serum amyloid A (SAA), the main acute-phase protein in birds, was evaluated. Due to the lack of reports on the stability of evaluation of avian SAA samples, changes according to the storage period and repeated freezing-thawing cycles were observed. Seven plasma samples from two species, and six plasma samples from three species stored at -20°C were used for storage period and freezing cycles, respectively. An anti-chicken SAA ELISA kit (Eaglebio, Amherst, NH, USA) was used for measurement. For statistical analysis, the Kruskal-Wallis test and Spearman’s correlation coefficient were applied using SPSS V27 (IBM SPSS, Armonk, NY, USA). Statistical significance was set at P < 0.05.
      The daily SAA concentrations measured for 30 days did not show a statistically significant difference. Freezing and thawing were repeated five times in total, and a significant negative relationship was confirmed as the number of times increased (r = -0.8857, p <0.05). Although no specific number of cycles showed a statistically significant decrease, a decrease greater than 10%, the CV value of the ELISA kit, was observed in 4 samples out of 6 at the 4th cycle. One to three freeze-thaw cycles were not expected to result in any critical reduction; however, it was recommended to avoid repeating as much as possible.
      The application of serum amyloid A (SAA) to diagnose inflammation in birds has been studied; however, information on the extent of disease-related increase in the large number of wild birds is not yet available. In this study, the value of SAA as a diagnostic marker was evaluated based on disease severity.
      A total of 291 samples from 139 birds of six avian species were analyzed. All samples were divided into four groups (severe inflammation, moderate inflammation, mild problem, clinically healthy) based on clinical and/or histopathological examinations and evaluated by group. SAA was measured using an anti-chicken SAA ELISA kit, and leukocyte counts, albumin concentrations, and albumin/globulin ratios were compared. The difference among groups was evaluated using the Kruskal-Wallis test followed by a post-hoc test using the Dunn’s multiple comparisons with SPSS V27. Statistical significance was set at P < 0.05.
      The mean concentration and standard deviation (ng/ml) of SAA in each group were 94.66 ± 75.16, 39.05 ± 33.78, 12.76 ± 10.56, and 5.96 ± 8.07 respectively. There was a significant difference in mean levels between groups (H (3)=193.713, p <0.001), and the results were the same when analyzed by each species. The more severe the classification level according to disease, the higher SAA level and WBC counts, and the lower albumin and A/G ratio. All four indices showed significant difference of mean between groups (p < 0.001).
      The SAA showed drastic changes reflecting the treatment response or preceding the onset of clinical symptoms when it was measured periodically, confirming that SAA in wild birds can be used to detect asymptomatic disease or to evaluate positive responses to treatment. Along with white blood cells, albumin, and the A/G ratio, SAA is thought to be helpful in accurately identifying current health status. Since the study was conducted on clinical patients who were rescued from the wildlife center, the frequency of inflammation due to trauma was high, and a long-term evaluation in many birds was difficult to perform. We hope that this will be carried out in future studies.
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      Wild birds are exposed to direct killing by human activities, as well as indirect threats from humans, ranging from environmental pollution, habitat destruction, and climate change. This study aimed to identify the most damaging problems for free-rang...

      Wild birds are exposed to direct killing by human activities, as well as indirect threats from humans, ranging from environmental pollution, habitat destruction, and climate change. This study aimed to identify the most damaging problems for free-ranging birds and the trends in their injuries and diseases, by analyzing the records of birds rescued from the Jeonbuk Wildlife Center in South Korea. Medical data, including species, date and region of rescue, cause of admission, diagnoses, husbandry and treatment records, and outcomes, were collected from January 2019 to February 2021. A total of 1,464 birds belonging to 106 species were included.
      The two most frequent causes of admission were healthy orphans and window collisions. The number of admissions due to anthropogenic causes was 43.6%; however, it reached 80% when the considering factors were estimated to be caused by humans. A total of 71% of the diagnoses were associated with trauma, which was much higher than 51% of the causes expected to be traumatic. Inflammatory diseases were found in 82% of the examined birds, regardless of the cause of admission. A total of 82% of the diagnoses were inflammatory diseases, which was also much higher than the 57% expected rescue due to inflammation. This was because the nature of wild animals that hide illness and the inflammatory state was difficult to detect sensitively by general physical examination.
      To assess the exact condition of the patient, serum amyloid A (SAA), the main acute-phase protein in birds, was evaluated. Due to the lack of reports on the stability of evaluation of avian SAA samples, changes according to the storage period and repeated freezing-thawing cycles were observed. Seven plasma samples from two species, and six plasma samples from three species stored at -20°C were used for storage period and freezing cycles, respectively. An anti-chicken SAA ELISA kit (Eaglebio, Amherst, NH, USA) was used for measurement. For statistical analysis, the Kruskal-Wallis test and Spearman’s correlation coefficient were applied using SPSS V27 (IBM SPSS, Armonk, NY, USA). Statistical significance was set at P < 0.05.
      The daily SAA concentrations measured for 30 days did not show a statistically significant difference. Freezing and thawing were repeated five times in total, and a significant negative relationship was confirmed as the number of times increased (r = -0.8857, p <0.05). Although no specific number of cycles showed a statistically significant decrease, a decrease greater than 10%, the CV value of the ELISA kit, was observed in 4 samples out of 6 at the 4th cycle. One to three freeze-thaw cycles were not expected to result in any critical reduction; however, it was recommended to avoid repeating as much as possible.
      The application of serum amyloid A (SAA) to diagnose inflammation in birds has been studied; however, information on the extent of disease-related increase in the large number of wild birds is not yet available. In this study, the value of SAA as a diagnostic marker was evaluated based on disease severity.
      A total of 291 samples from 139 birds of six avian species were analyzed. All samples were divided into four groups (severe inflammation, moderate inflammation, mild problem, clinically healthy) based on clinical and/or histopathological examinations and evaluated by group. SAA was measured using an anti-chicken SAA ELISA kit, and leukocyte counts, albumin concentrations, and albumin/globulin ratios were compared. The difference among groups was evaluated using the Kruskal-Wallis test followed by a post-hoc test using the Dunn’s multiple comparisons with SPSS V27. Statistical significance was set at P < 0.05.
      The mean concentration and standard deviation (ng/ml) of SAA in each group were 94.66 ± 75.16, 39.05 ± 33.78, 12.76 ± 10.56, and 5.96 ± 8.07 respectively. There was a significant difference in mean levels between groups (H (3)=193.713, p <0.001), and the results were the same when analyzed by each species. The more severe the classification level according to disease, the higher SAA level and WBC counts, and the lower albumin and A/G ratio. All four indices showed significant difference of mean between groups (p < 0.001).
      The SAA showed drastic changes reflecting the treatment response or preceding the onset of clinical symptoms when it was measured periodically, confirming that SAA in wild birds can be used to detect asymptomatic disease or to evaluate positive responses to treatment. Along with white blood cells, albumin, and the A/G ratio, SAA is thought to be helpful in accurately identifying current health status. Since the study was conducted on clinical patients who were rescued from the wildlife center, the frequency of inflammation due to trauma was high, and a long-term evaluation in many birds was difficult to perform. We hope that this will be carried out in future studies.

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      국문 초록 (Abstract)

      야생 조류는 환경오염, 서식지 파괴, 기후변화 등 인간의 간접적인 위협 외에도 인간 활동에 의한 직접적인 죽음에 노출되어 있다. 본 연구는 한국의 전북야생동물센터에서 구조된 조류의 기록을 분석하여, 자유롭게 서식하는 야생 조류에게 가장 피해를 주는 문제와 부상 및 질병의 경향을 파악하기 위해 수행되었다. 2019년 1월부터 2021년 2월까지 종, 구조 날짜와 위치, 입원 원인, 진단, 사육 및 치료 기록, 그리고 치료 결과를 포함하는 의료 기록을 수집하였다. 이 분석에는 106종 1,464마리의 새가 포함되었다.
      가장 빈도 높은 두 개의 구조 원인은 건강한 미아와 유리창 충돌이었다. 인간에 의한 구조 원인은 43.6%로 집계되었으나, 인간에 의한 부상이나 구조로 추정되는 경우까지 고려하면 80%에 달했다. 진단의 71%는 외상과 관련이 있었고, 이는 외상으로 간주되는 구조 원인의 비율인 51%보다 매우 높은 것이었다. 구조 원인에 관계없이, 염증성 질환은 검사를 수행한 조류의 82%에서 발견되었으며, 이는 또한 염증으로 인한 구조 원인에 해당한 57%보다 훨씬 높았다. 이 것은 질병과 염증 상태를 숨기는 야생동물의 특성과, 기본적인 신체검사로는 민감하게 건강 상태를 감지하기 어려웠기 때문이다.
      환자의 정확한 상태를 파악하기 위해 조류의 주요 급성기 단백질인 혈청 아밀로이드 A(SAA)를 평가하였다. 그에 앞서 조류 SAA 시료의 안정성을 평가한 보고가 부족하여, 보관 기간 및 반복되는 동결-해동 횟수에 따른 변화를 관찰하였다. 보관 기간 및 해동 횟수 평가에는 -20 °C에서 보관된 2종의 혈장 샘플 7개와, 3종의 혈장 샘플 6개가 각각 사용되었다. 측정에는 닭 전용 SAA ELISA 키트 (Eaglebio, Amherst, 뉴햄프셔 주, 미국)을 사용하였다. 통계적 분석은 SPSS V27(IBM SPSS, Armonk, 뉴욕 주, 미국)을 이용하여 수행하였고, Kruskal-Wallis 검정과 Spearman의 상관계수를 적용하였다. 0.05 미만의 p-값은 통계적으로 유의한 것으로 설정하였다.
      30일 동안 매일 측정한 SAA 농도는 통계적으로 유의한 차이를 보이지 않았다. 동결-해동은 총 5회 반복하였으며, 횟수가 증가할수록 유의한 음의 관계가 확인되었다(r = -0.8857, p <0.05). 통계적으로 유의하게 농도가 감소하는 횟수는 없었으나, 6개의 시료 중 4개에서 네 번째부터 ELISA 키트의 CV값인 10% 이상 농도가 감소하는 것이 관찰되었다. 1~3회의 동결-해동 주기는 심각한 감소를 초래할 것으로 예상되지 않지만, 가능한 한 반복하지 않는 것이 추천된다.
      조류에서 염증을 진단하기 위한 혈청 아밀로이드 A(SAA)의 적용은 연구되어왔지만, 아직 다수의 야생 조류에서 질병과 관련되어 증가하는 정도에 대한 정보는 없다. 본 연구에서는 염증성 질병의 중증도에 따라 진단 마커로서 SAA의 가치를 평가하였다. 조류 여섯 종(황조롱이, 집비둘기, 솔부엉이, 수리부엉이, 말똥가리, 참매)에 해당하는 139마리로부터 채집된 총 291개의 시료가 분석되었다. 모든 시료를 임상적인 검사 및/또는 조직병리학적 검사를 기반으로 4개 그룹(중증 염증, 중등도 염증, 경증 문제, 임상적 건강)으로 나누고 그룹별로 평가하였다. SAA는 닭 전용 SAA ELISA 키트로 측정하였고, 백혈구 수, 알부민 농도, 알부민/글로불린 비율과도 비교되었다. 그룹 간의 통계적 차이는 SPSS V27를 이용하여 Kruskal-Wallis 검정으로 평가하였고, 두 그룹 간의 사후 검정에는 Dunn’s 검정이 적용되었다. 0.05 미만의 p-값은 통계적으로 유의한 것으로 설정하였다.
      각 그룹에서 SAA의 평균 농도와 표준편차(ng/ml)는 각각 94.66 ± 75.16, 39.05 ± 33.78, 12.76 ± 10.56, 5.96 ± 8.07이었다. 전 그룹간에 통계적으로 유의한 평균의 차이가 있었고(H (3) = 193.713, p <0.001), 각 종 별로 분석한 결과도 동일하였다. 염증성 질병과 심각도에 따른 분류 수준이 높을수록 SAA 농도와 WBC 수치가 증가하였고, 알부민과 A/G 비율이 감소하였다. 네 가지 염증 지표 모두 그룹 간에 유의한 평균 차이를 보였다(p < 0.001).
      한 개체에서 주기적으로 SAA를 측정했을 때, 치료에 대한 반응을 반영하거나 임상 증상보다 앞서는 급격한 변화가 관찰되었다. 이 것으로 야생 조류에서 SAA가 무증상 상태의 질병을 진단하거나 치료에 대한 반응을 민감하게 평가하는데 사용할 수 있음을 확인하였다. 백혈구, 알부민 및 A/G 비율과 함께 SAA는 현재 건강 상태를 정확하게 식별하는 데 도움이 될 것으로 여겨진다.
      이번 연구를 통해 야생동물 치료 분야의 전문가들이 미래의 조류 환자에게 더 정확한 진단과 효과적인 치료를 제공하는 데에 도움이 되길 희망한다.
      번역하기

      야생 조류는 환경오염, 서식지 파괴, 기후변화 등 인간의 간접적인 위협 외에도 인간 활동에 의한 직접적인 죽음에 노출되어 있다. 본 연구는 한국의 전북야생동물센터에서 구조된 조류의 ...

      야생 조류는 환경오염, 서식지 파괴, 기후변화 등 인간의 간접적인 위협 외에도 인간 활동에 의한 직접적인 죽음에 노출되어 있다. 본 연구는 한국의 전북야생동물센터에서 구조된 조류의 기록을 분석하여, 자유롭게 서식하는 야생 조류에게 가장 피해를 주는 문제와 부상 및 질병의 경향을 파악하기 위해 수행되었다. 2019년 1월부터 2021년 2월까지 종, 구조 날짜와 위치, 입원 원인, 진단, 사육 및 치료 기록, 그리고 치료 결과를 포함하는 의료 기록을 수집하였다. 이 분석에는 106종 1,464마리의 새가 포함되었다.
      가장 빈도 높은 두 개의 구조 원인은 건강한 미아와 유리창 충돌이었다. 인간에 의한 구조 원인은 43.6%로 집계되었으나, 인간에 의한 부상이나 구조로 추정되는 경우까지 고려하면 80%에 달했다. 진단의 71%는 외상과 관련이 있었고, 이는 외상으로 간주되는 구조 원인의 비율인 51%보다 매우 높은 것이었다. 구조 원인에 관계없이, 염증성 질환은 검사를 수행한 조류의 82%에서 발견되었으며, 이는 또한 염증으로 인한 구조 원인에 해당한 57%보다 훨씬 높았다. 이 것은 질병과 염증 상태를 숨기는 야생동물의 특성과, 기본적인 신체검사로는 민감하게 건강 상태를 감지하기 어려웠기 때문이다.
      환자의 정확한 상태를 파악하기 위해 조류의 주요 급성기 단백질인 혈청 아밀로이드 A(SAA)를 평가하였다. 그에 앞서 조류 SAA 시료의 안정성을 평가한 보고가 부족하여, 보관 기간 및 반복되는 동결-해동 횟수에 따른 변화를 관찰하였다. 보관 기간 및 해동 횟수 평가에는 -20 °C에서 보관된 2종의 혈장 샘플 7개와, 3종의 혈장 샘플 6개가 각각 사용되었다. 측정에는 닭 전용 SAA ELISA 키트 (Eaglebio, Amherst, 뉴햄프셔 주, 미국)을 사용하였다. 통계적 분석은 SPSS V27(IBM SPSS, Armonk, 뉴욕 주, 미국)을 이용하여 수행하였고, Kruskal-Wallis 검정과 Spearman의 상관계수를 적용하였다. 0.05 미만의 p-값은 통계적으로 유의한 것으로 설정하였다.
      30일 동안 매일 측정한 SAA 농도는 통계적으로 유의한 차이를 보이지 않았다. 동결-해동은 총 5회 반복하였으며, 횟수가 증가할수록 유의한 음의 관계가 확인되었다(r = -0.8857, p <0.05). 통계적으로 유의하게 농도가 감소하는 횟수는 없었으나, 6개의 시료 중 4개에서 네 번째부터 ELISA 키트의 CV값인 10% 이상 농도가 감소하는 것이 관찰되었다. 1~3회의 동결-해동 주기는 심각한 감소를 초래할 것으로 예상되지 않지만, 가능한 한 반복하지 않는 것이 추천된다.
      조류에서 염증을 진단하기 위한 혈청 아밀로이드 A(SAA)의 적용은 연구되어왔지만, 아직 다수의 야생 조류에서 질병과 관련되어 증가하는 정도에 대한 정보는 없다. 본 연구에서는 염증성 질병의 중증도에 따라 진단 마커로서 SAA의 가치를 평가하였다. 조류 여섯 종(황조롱이, 집비둘기, 솔부엉이, 수리부엉이, 말똥가리, 참매)에 해당하는 139마리로부터 채집된 총 291개의 시료가 분석되었다. 모든 시료를 임상적인 검사 및/또는 조직병리학적 검사를 기반으로 4개 그룹(중증 염증, 중등도 염증, 경증 문제, 임상적 건강)으로 나누고 그룹별로 평가하였다. SAA는 닭 전용 SAA ELISA 키트로 측정하였고, 백혈구 수, 알부민 농도, 알부민/글로불린 비율과도 비교되었다. 그룹 간의 통계적 차이는 SPSS V27를 이용하여 Kruskal-Wallis 검정으로 평가하였고, 두 그룹 간의 사후 검정에는 Dunn’s 검정이 적용되었다. 0.05 미만의 p-값은 통계적으로 유의한 것으로 설정하였다.
      각 그룹에서 SAA의 평균 농도와 표준편차(ng/ml)는 각각 94.66 ± 75.16, 39.05 ± 33.78, 12.76 ± 10.56, 5.96 ± 8.07이었다. 전 그룹간에 통계적으로 유의한 평균의 차이가 있었고(H (3) = 193.713, p <0.001), 각 종 별로 분석한 결과도 동일하였다. 염증성 질병과 심각도에 따른 분류 수준이 높을수록 SAA 농도와 WBC 수치가 증가하였고, 알부민과 A/G 비율이 감소하였다. 네 가지 염증 지표 모두 그룹 간에 유의한 평균 차이를 보였다(p < 0.001).
      한 개체에서 주기적으로 SAA를 측정했을 때, 치료에 대한 반응을 반영하거나 임상 증상보다 앞서는 급격한 변화가 관찰되었다. 이 것으로 야생 조류에서 SAA가 무증상 상태의 질병을 진단하거나 치료에 대한 반응을 민감하게 평가하는데 사용할 수 있음을 확인하였다. 백혈구, 알부민 및 A/G 비율과 함께 SAA는 현재 건강 상태를 정확하게 식별하는 데 도움이 될 것으로 여겨진다.
      이번 연구를 통해 야생동물 치료 분야의 전문가들이 미래의 조류 환자에게 더 정확한 진단과 효과적인 치료를 제공하는 데에 도움이 되길 희망한다.

      더보기

      목차 (Table of Contents)

      • CONTENTS i
      • LIST OF FIGURES v
      • LIST OF TABLES vii
      • ABSTRACT viii
      • Part Ⅰ. Retrospective Analysis of Inflammatory Diseases and Admission Causes in Rescued Wild Birds 1
      • CONTENTS i
      • LIST OF FIGURES v
      • LIST OF TABLES vii
      • ABSTRACT viii
      • Part Ⅰ. Retrospective Analysis of Inflammatory Diseases and Admission Causes in Rescued Wild Birds 1
      • Introduction 2
      • Materials and Methods 4
      • 1. Data collection 4
      • 2. Admission cause 4
      • 3. Diagnosis 7
      • Results 9
      • 1. Demographic data 9
      • A. Species 9
      • B. Time 16
      • C. Age 22
      • D. Location 22
      • 2. Admission cause 23
      • A. Orphaned 26
      • B. Malnutrition 27
      • C. Infection 28
      • D. Attacked 29
      • E. Collision 29
      • F. Trapped indoors 31
      • G. Injured by man-made structures 31
      • H. Traffic accident 33
      • I. Poaching 34
      • J. Toxicosis 34
      • K. Unknown 35
      • L. Other 36
      • 3. Diagnosis 42
      • Discussion 54
      • 1. Demographic data 54
      • 2. Admission cause 55
      • A. Trauma/inflammation 55
      • B. Admission causes 55
      • 3. Diagnosis 71
      • 4. Medical data recording and utilization 84
      • Conclusion 86
      • Part Ⅱ. Impacts of Storage Time and Repeated Freezing-Thawing on Stability of Avian Serum Amyloid A 87
      • Introduction 88
      • Materials and Methods 92
      • 1. Animals and sample collection 92
      • 2. Effect of storage time on concentration of avian SAA 92
      • 3. Effect of repeated freezing and thawing on concentration of avian SAA 93
      • 4. Statistical analysis 93
      • Results 94
      • 1. Effect of storage time on concentration of avian SAA 94
      • 2. Effect of repeated freezing-thawing on concentration of avian SAA 94
      • Discussion 100
      • Conclusion 102
      • Part Ⅲ. Diagnostic Value of Serum Amyloid A in Differentiating the Inflammatory Disorders in Birds 103
      • Introduction 104
      • Materials and Methods 107
      • 1. Animals 107
      • 2. Sample collection 107
      • 3. Clinical groups 108
      • 4. SAA by diseases 109
      • 5. Follow-up evaluation 109
      • 6. ELISA 109
      • 7. Statistical analysis 110
      • Results 111
      • 1. Avian SAA concentrations by groups 111
      • 2. SAA by disease 121
      • 3. Follow-up evaluations 124
      • 4. WBC, albumin, and A/G levels by groups 128
      • 5. Comparison of SAA with WBC, albumin, and A/G 132
      • Discussion 135
      • Conclusion 141
      • GENERAL CONCLUSION 142
      • REFERENCES 144
      • 감사의 글 158
      • 국문 초록 160
      더보기

      참고문헌 (Reference) 논문관계도

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