• 한국의학물리학회지:의학물리
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• 제19권4호
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• pp.256-262
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• 2008

자기공명분광법(magnetic resonance spectroscopy: MRS)은 인체내 대사물질을 정량분석하여 병변의 조기진단 및 정밀진단에 도움을 주고 있으며, 최근 임상에 이용되고 있는 자기공명분광법은 single voxel spectroscopy (SVS) 기법과 multi voxel spectroscopy (MVS) 기법이 있다. 본 연구에서는 SENSE와 NEX를 변화시킨 multi voxel spectroscopy (MVS)의 데이터와 기존 single voxel spectroscopy (SVS)의 데이터를 비교 분석하여, 각각의 데이터의 유의성 차이를 평가하고자 하였다. 정상 성인 지원자 13명(남자: 5명, 여자: 8명, 평균 41세, 표준편차 11.65세)을 대상으로 chemical shift image (CSI)를 이용한 MVS검사를 시행하였다. 장비는 3.0T Achieva Release Version 2.1 (Philips Medical System, Netherland)을 이용하였고, 8 channel head coil을 사용하여 brain thalamus 부위에서 CSI spectrum을 1 slice 획득하였다. Scan parameter로는 FOV (field of view): $230{\times}184mm^2$, TR (time to repetition): 2000 msec, TE (time to echo): 288 msec, matrix: $15{\times}12$, VOI(view of interest): $110{\times}110mm^2$, voxel size: $15{\times}15{\times}15mm^3$로 하였다. SENSE factor (S)와 NEX (N)는 S1*N1, S2*N1, S2*N2, S3*N2로 변화하여 스펙트럼을 획득하였고, 각 scan time은 5분 54초, 3분 32초, 6분 20초, 4분 20초였다. 얻은 모든 MRS 데이터는 jMRUI 3.0 Version 프로그램에서 분석하였고, SENSE factor와 NEX를 변화시켜 얻은 MVS data 그룹들이 정상 성인 뇌 대사물질의 변화에 영향을 주는지 검증하기 위해 그룹 간에 ANOVA분석을 실행하여 P 값이 0.05보다 크게 나오면 그룹들 사이에 유의한 차이가 없다고 분석하였다. NAA/Cr과 Cho/Cr의 상대적 비율은 MV와 SVS사이에서는 유의한 차이가 없었다. 즉, SENSE factor와 NEX를 변화시켜 얻은 MVS data에서 정상 성인 뇌조직의 대사물질의 변화를 관찰한 결과, S1*N1의 NAA/Cr은 $1.45{\pm}0.03$, Cho/Cr은 $0.88{\pm}0.03$이고, S2*N1의 NAA/Cr은 $1.44{\pm}0.03$, Cho/Cr은 $0.87{\pm}0.05$, S2*N2의 NAA/Cr은 $1.43{\pm}0.02$, Cho/Cr은 $0.87{\pm}0.04$이며, S3*N2의 NAA/Cr은 $1.45{\pm}0.03$, Cho/Cr은 $0.87{\pm}0.03$으로 나타났다(F-value : 1.37, D.F : 3, P-value : 0.262). 그러나 데이터의 질을 측정하기 위한 MVS 데이터의 NAA Peak line-width는 SVS 데이터의 NAA Peak line-width 보다 약 3배 정도 넓었다. 본 연구에서는 MVS에서 SENSE factor와 NEX 값을 다양하게 변화시킨 MVS의 데이터와 SVS의 데이터가 큰 차이가 없음을 확인하였다. 즉, 어는 특정 부위의 뇌 조직의 대사물질은 MVS와 SVS 기법 모두 큰 차이가 없음을 확인할 수 있었다. 그러므로 MVS는 SVS보다 광범한 부위를 짧은 시간 안에 검사할 수 있으므로 매우 유용한 방법이라고 사료된다.

• Asian-Australasian Journal of Animal Sciences
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• 제27권1호
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• pp.69-76
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• 2014

This study was carried out to evaluate the relationship between threonine (Thr) efficiency and Thr dehydrogenase (TDG) activity as an indicator of Thr oxidation on chicks fed with levels of diets (CP [17.5% and 21.5%] and Thr [3.8 and 4.7 g/100 g CP]; glycine [Gly][0.64% and 0.98%] and true digestible Thr [dThr] [0.45% and 0.60%]). Calculation of the Thr efficiency was based on N-balance data and an exponential N-utilization model, and TDG activity was determined as accumulation of aminoacetone and Gly during incubation of hepatic mitochondria. This study found that in the liver of chicks who received a diet containing up to 0.79% Thr (4.7 g Thr/100 g of CP) in the 17.5% CP diet, no significant (p>0.05) effect on TDG activity was observed. However, significantly (p = 0.014) increased TDG activity was observed with a diet containing 21.5% CP (4.7 g Thr/100 g of CP) and the efficiency of Thr utilization showed a significant (p = 0.001) decrease, indicating the end of the Thr limiting range. No significant (p>0.05) effect on the total TDG activity and accumulation of Gly was observed with addition of Gly to a diet containing 0.45% dThr. In addition, addition of Gly to a diet containing 0.60% dThr also did not result in a change in accumulation of Gly. Due to an increase in accumulation of aminoacetone, an elevated effect on total TDG activity was also observed. No significant (p>0.05) reduction in the efficiency of Thr utilization was observed after addition of Gly at the level of 0.45% dThr. However, significantly (p<0.001) reduced efficiency of Thr utilization was observed after addition of Gly at the level of 0.60% dThr. Collectively, we found that TDG was stimulated not only by addition of Thr and protein to the diet, but also by addition of Gly, and efficiency of Thr utilization was favorably affected by addition of Gly at the level near to the optimal Thr concentration. In addition, no metabolic requirement of Gly through the TDG pathway was observed with almost the same accumulation of Gly and a slight increase in TDG activity by addition of Gly. Thus, our findings suggest that determination of TDG activity and parameter of efficiency of Thr utilization may be useful for evaluation of dietary Thr level.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1247-1247
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• 2001

Constituents of animal biofluids such as milk, blood and urine contain information specifically related to metabolic and health status of the ruminant animals. Some changes in composition of biofluids can be attributed to disease response of the animals. Mastitis is a major problem for the global dairy industry and causes substantial economic losses from decreasing milk production and reducing milk quality. The purpose of this study was to investigate potential of NIRS combined with multivariate analysis for cow's mastitis diagnosis based on NIR spectra of milk, blood and urine. A total of 112 bulk milk, urine and blood samples from 4 Holstein cows were analyzed. The milk samples were collected from morning milking. The urine samples were collected before morning milking and stored at -35$^{\circ}C$ until spectral analysis. The blood samples were collected before morning milking using a catheter inserted into the carotid vein. Heparin was added to blood samples to prevent coagulation. All milk samples were analyzed for somatic cell count (SCC). The SCC content in milk was used as indicator of mastitis and as quantitative parameter for respective urine and blood samples collected at same time. NIR spectra of blood and milk samples were obtained by InfraAlyzer 500 spectrophotometer, using a transflectance mode. NIR spectra of urine samples were obtained by NIR System 6500 spectrophotometer, using 1 mm sample thickness. All samples were divided into calibration set and test set. Class variable was assigned for each sample as follow: healthy (class 1) and mastitic (class 2), based on milk SCC content. SIMCA was implemented to create models of the respective classes based on NIR spectra of milk, blood or urine. For the calibration set of samples, SIMCA models (model for samples from healthy cows and model for samples from mastitic cows), correctly classified from 97.33 to 98.67% of milk samples, from 97.33 to 98.61% of urine samples and from 96.00 to 94.67% of blood samples. From samples in the test set, the percent of correctly classified samples varied from 70.27 to 89.19, depending mainly on spectral data pretreatment. The best results for all data sets were obtained when first derivative spectral data pretreatment was used. The incorrect classified samples were 5 from milk samples,5 and 4 from urine and blood samples, respectively. The analysis of changes in the loading of first PC factor for group of samples from healthy cows and group of samples from mastitic cows showed, that separation between classes was indirect and based on influence of mastitis on the milk, blood and urine components. Results from the present investigation showed that the changes that occur when a cow gets mastitis influence her milk, urine and blood spectra in a specific way. SIMCA allowed extraction of available spectral information from the milk, urine and blood spectra connected with mastitis. The obtained results could be used for development of a new method for mastitis detection.

• Animal Bioscience
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• 제36권1호
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• pp.75-83
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• 2023

Objective: The objective of this study was to describe a methodological procedure to quantify the heat production (HP) partitioning in basal metabolism or fasting heat production (FHP), heat production due to physical activity (HPA), and the thermic effect of feeding (TEF) in roosters. Methods: Eighteen 54-wk-old Hy Line Brown roosters (2.916±0.15 kg) were allocated in an open-circuit chamber of respirometry for O₂ consumption (VO₂), CO₂ production (VCO₂), and physical activity (PA) measurements, under environmental comfort conditions, following the protocol: adaptation (3 d), ad libitum feeding (1 d), and fasting conditions (1 d). The Brouwer equation was used to calculate the HP from VO₂ and VCO₂. The plateau-FHP (parameter L) was estimated through the broken line model: HP = U×(R-t)×I+L; I = 1 if t<R or I = 0 if t>R; Where the broken-point (R) was assigned as the time (t) that defined the difference between a short and long fasting period, I is conditional, and U is the decreasing rate after the feed was withdrawn. The HP components description was characterized by three events: ad libitum feeding and short and long fasting periods. Linear regression was adjusted between physical activity (PA) and HP to determine the HPA and to estimate the standardized FHP (st-FHP) as the intercept of PA = 0. Results: The time when plateau-FHP was reached at 11.7 h after withdrawal feed, with a mean value of 386 kJ/kg^0.75/d, differing in 32 kJ from st-FHP (354 kJ/kg^0.75/d). The slope of HP per unit of PA was 4.52 kJ/mV. The total HP in roosters partitioned into the st-FHP, termal effect of feeding (TEF), and HPA was 56.6%, 25.7%, and 17.7%, respectively. Conclusion: The FHP represents the largest fraction of energy expenditure in roosters, followed by the TEF. Furthermore, the PA increased the variation of HP measurements.