CN106596912A - Method for diagnosing ketosis of cow after delivery by use of citric acid in milk - Google Patents
Method for diagnosing ketosis of cow after delivery by use of citric acid in milk Download PDFInfo
- Publication number
- CN106596912A CN106596912A CN201611221630.7A CN201611221630A CN106596912A CN 106596912 A CN106596912 A CN 106596912A CN 201611221630 A CN201611221630 A CN 201611221630A CN 106596912 A CN106596912 A CN 106596912A
- Authority
- CN
- China
- Prior art keywords
- citric acid
- milk
- ketosis
- bhba
- cows
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- KRKNYBCHXYNGOX-UHFFFAOYSA-N citric acid Chemical compound OC(=O)CC(O)(C(O)=O)CC(O)=O KRKNYBCHXYNGOX-UHFFFAOYSA-N 0.000 title claims abstract description 181
- 208000007976 Ketosis Diseases 0.000 title claims abstract description 55
- 235000013336 milk Nutrition 0.000 title claims abstract description 46
- 239000008267 milk Substances 0.000 title claims abstract description 46
- 210000004080 milk Anatomy 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 12
- 230000004140 ketosis Effects 0.000 title abstract description 49
- WHBMMWSBFZVSSR-UHFFFAOYSA-N 3-hydroxybutyric acid Chemical compound CC(O)CC(O)=O WHBMMWSBFZVSSR-UHFFFAOYSA-N 0.000 claims abstract description 35
- DRCWOKJLSQUJPZ-DZGCQCFKSA-N (4ar,9as)-n-ethyl-1,4,9,9a-tetrahydrofluoren-4a-amine Chemical compound C1C2=CC=CC=C2[C@]2(NCC)[C@H]1CC=CC2 DRCWOKJLSQUJPZ-DZGCQCFKSA-N 0.000 claims abstract description 25
- 101001008429 Homo sapiens Nucleobindin-2 Proteins 0.000 claims abstract description 25
- 102100027441 Nucleobindin-2 Human genes 0.000 claims abstract description 25
- 238000003745 diagnosis Methods 0.000 claims abstract description 6
- 150000002576 ketones Chemical class 0.000 claims abstract description 5
- 230000002503 metabolic effect Effects 0.000 claims abstract description 5
- 238000010219 correlation analysis Methods 0.000 claims description 8
- 210000002966 serum Anatomy 0.000 claims description 6
- 238000004458 analytical method Methods 0.000 claims description 4
- 238000002474 experimental method Methods 0.000 claims description 4
- 201000010099 disease Diseases 0.000 claims description 3
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 3
- 239000000203 mixture Substances 0.000 claims description 3
- 238000007619 statistical method Methods 0.000 claims description 2
- 206010023379 Ketoacidosis Diseases 0.000 claims 6
- 241001269238 Data Species 0.000 claims 1
- 210000000481 breast Anatomy 0.000 claims 1
- 208000030270 breast disease Diseases 0.000 claims 1
- 238000007689 inspection Methods 0.000 claims 1
- 241000283690 Bos taurus Species 0.000 abstract description 53
- 235000013365 dairy product Nutrition 0.000 abstract description 31
- 238000001514 detection method Methods 0.000 abstract description 10
- 238000000338 in vitro Methods 0.000 abstract description 2
- 235000021243 milk fat Nutrition 0.000 description 13
- 210000004369 blood Anatomy 0.000 description 7
- 239000008280 blood Substances 0.000 description 7
- 241001465754 Metazoa Species 0.000 description 5
- JVTAAEKCZFNVCJ-UHFFFAOYSA-N lactic acid Chemical compound CC(O)C(O)=O JVTAAEKCZFNVCJ-UHFFFAOYSA-N 0.000 description 4
- 238000010586 diagram Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 238000010832 independent-sample T-test Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- ZSLZBFCDCINBPY-ZSJPKINUSA-N acetyl-CoA Chemical compound O[C@@H]1[C@H](OP(O)(O)=O)[C@@H](COP(O)(=O)OP(O)(=O)OCC(C)(C)[C@@H](O)C(=O)NCCC(=O)NCCSC(=O)C)O[C@H]1N1C2=NC=NC(N)=C2N=C1 ZSLZBFCDCINBPY-ZSJPKINUSA-N 0.000 description 2
- 238000013211 curve analysis Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005160 1H NMR spectroscopy Methods 0.000 description 1
- 206010000234 Abortion spontaneous Diseases 0.000 description 1
- 244000248349 Citrus limon Species 0.000 description 1
- 235000005979 Citrus limon Nutrition 0.000 description 1
- 238000005481 NMR spectroscopy Methods 0.000 description 1
- 206010037660 Pyrexia Diseases 0.000 description 1
- 206010046793 Uterine inflammation Diseases 0.000 description 1
- 230000002411 adverse Effects 0.000 description 1
- 238000010171 animal model Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000021523 carboxylation Effects 0.000 description 1
- 238000006473 carboxylation reaction Methods 0.000 description 1
- 230000015271 coagulation Effects 0.000 description 1
- 238000005345 coagulation Methods 0.000 description 1
- 238000010835 comparative analysis Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 238000003977 dairy farming Methods 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 208000016097 disease of metabolism Diseases 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 208000019423 liver disease Diseases 0.000 description 1
- 208000004396 mastitis Diseases 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000000691 measurement method Methods 0.000 description 1
- 208000030159 metabolic disease Diseases 0.000 description 1
- 230000004060 metabolic process Effects 0.000 description 1
- 208000015994 miscarriage Diseases 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 235000016709 nutrition Nutrition 0.000 description 1
- KHPXUQMNIQBQEV-UHFFFAOYSA-N oxaloacetic acid Chemical compound OC(=O)CC(=O)C(O)=O KHPXUQMNIQBQEV-UHFFFAOYSA-N 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 102000004169 proteins and genes Human genes 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 208000000995 spontaneous abortion Diseases 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
- 230000004102 tricarboxylic acid cycle Effects 0.000 description 1
- 210000003462 vein Anatomy 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
- G01N33/04—Dairy products
- G01N33/06—Determining fat content, e.g. by butyrometer
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Food Science & Technology (AREA)
- Immunology (AREA)
- General Physics & Mathematics (AREA)
- Biomedical Technology (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Medicinal Chemistry (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Urology & Nephrology (AREA)
- Molecular Biology (AREA)
- Hematology (AREA)
- Microbiology (AREA)
- Cell Biology (AREA)
- Biotechnology (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Feed For Specific Animals (AREA)
Abstract
本发明提供一种利用乳中柠檬酸诊断奶牛产后酮病的方法，所述乳中柠檬酸对奶牛酮病时酮体改变比较敏感,通过检测乳中柠檬酸含量来诊断奶牛酮病，阐明能量代谢特征性指标与乳中柠檬酸之间的关系，表明乳中柠檬酸与奶牛酮病重要检测指标BHBA、NEFA呈极显著正相关，乳中柠檬酸可以作为体外检测酮病的指标来监测、诊断奶牛酮病，当乳中柠檬酸大于0.205%时可以诊断奶牛患有酮病。The invention provides a method for diagnosing postpartum ketosis in dairy cows by using citric acid in milk. The citric acid in milk is sensitive to the change of ketone bodies in cows with ketosis. The ketosis in cows can be diagnosed by detecting the content of citric acid in milk, and the energy can be clarified. The relationship between metabolic characteristic indicators and citric acid in milk shows that citric acid in milk has a very significant positive correlation with BHBA and NEFA, the important detection indicators of dairy cow ketosis, and citric acid in milk can be used as an indicator for in vitro detection of ketosis to monitor, Diagnosis of ketosis in dairy cows. When citric acid in milk is greater than 0.205%, it can be diagnosed that cows are suffering from ketosis.
Description
技术领域technical field
本发明涉及一种诊断奶牛产后酮病的方法，特别是一种利用乳中柠檬酸诊断奶牛产后酮病的方法。The invention relates to a method for diagnosing postpartum ketosis in dairy cows, in particular to a method for diagnosing postpartum ketosis in dairy cows by using citric acid in milk.
背景技术Background technique
随着全球畜牧业的大力发展，奶牛业已经成为支持畜牧业发展的一个重要产业。奶牛酮病是围产期最常见的一种营养代谢病，尤其高产奶牛多发，世界各地均有流行，虽然很少能造成死亡，但会引起奶牛产奶量降低，增加治疗费用，同时酮病奶牛产出的牛奶成分会发生变化，可能会对人体产生不良影响，给很多高产的大型牛场带来严重的经济损失，所以奶牛酮病越来越受到养殖者们的重视。With the vigorous development of global animal husbandry, the dairy industry has become an important industry supporting the development of animal husbandry. Dairy cow ketosis is the most common nutritional metabolic disease in the peripartum period, especially in high-yield dairy cows. It is prevalent all over the world. Although it rarely causes death, it will cause a decrease in milk production and increase treatment costs. At the same time, ketosis The composition of milk produced by dairy cows will change, which may have adverse effects on the human body and cause serious economic losses to many high-yielding large cattle farms. Therefore, ketosis in dairy cows has attracted more and more attention from farmers.
柠檬酸，又称枸橼酸、2-羟基丙三羧酸，在机体三羧酸循环中由乙酰辅酶A和草酰乙酸羧合而成，参与体内糖、脂肪和蛋白质代谢。已有研究表明在奶牛发生酮病时，患病奶牛产出的牛奶成分会发生变化，前人对健康奶牛与患酮病奶牛血浆进行核磁共振（1HNuclear Magnetic Resonance，1H NMR），分析发现酮病奶牛血浆中的柠檬酸会发生显著变化，与此同时有人提出在奶牛发生酮病时，乳中的柠檬酸也会发生变化。Citric acid, also known as citric acid and 2-hydroxypropanetricarboxylic acid, is formed by the carboxylation of acetyl-CoA and oxaloacetate in the body's tricarboxylic acid cycle, and participates in the metabolism of sugar, fat and protein in the body. Previous studies have shown that when cows suffer from ketosis, the composition of the milk produced by the sick cows will change. Previous studies conducted nuclear magnetic resonance (1HNuclear Magnetic Resonance, 1H NMR) on the plasma of healthy cows and cows with ketosis, and found that ketosis While citric acid changes significantly in cow plasma, it has been suggested that milk citric acid also changes when cows are in ketosis.
目前酮病的监测主要是根据血液中β-羟丁酸（BHBA）浓度变化，当BHBA>1.2mmol/L时可诊断为奶牛患有酮病，此种方法虽然准确率高，但其检测费用大，容易受外界因素影响，需要采集血液进行检测；采集血液会对奶牛造成应激性的伤害。因此需要寻找灵敏度高、对奶牛无伤害的一种诊断奶牛产后酮病的方法。At present, the monitoring of ketosis is mainly based on the changes in the concentration of β-hydroxybutyric acid (BHBA) in the blood. When BHBA>1.2mmol/L, it can be diagnosed as cows suffering from ketosis. Although this method has high accuracy, the detection cost Large, easily affected by external factors, need to collect blood for testing; blood collection will cause stress damage to dairy cows. Therefore, it is necessary to find a method for diagnosing postpartum ketosis in dairy cows with high sensitivity and no harm to dairy cows.
发明内容Contents of the invention
本发明提供一种利用乳中柠檬酸诊断奶牛产后酮病的方法，所述乳中柠檬酸对奶牛酮病时酮体改变比较敏感,通过检测乳中柠檬酸含量来诊断奶牛酮病，阐明能量代谢特征性指标BHBA与乳中柠檬酸之间的关系，表明乳中柠檬酸与奶牛酮病呈极显著正相关。The invention provides a method for diagnosing postpartum ketosis in dairy cows by using citric acid in milk. The citric acid in milk is sensitive to the change of ketone bodies in cows with ketosis. The ketosis in cows can be diagnosed by detecting the content of citric acid in milk, and the energy can be clarified. The relationship between the metabolic characteristic index BHBA and citric acid in milk showed that citric acid in milk had a very significant positive correlation with cow ketosis.
本发明所采用的技术方案是：一种利用乳中柠檬酸诊断奶牛产后酮病的方法，乳中柠檬酸与奶牛酮病密切相关，应用乳成分分析仪和全自动生化分析仪测定牛乳中柠檬酸、乳脂；血清中BHBA、NEFA的含量, 通过统计学分析乳中柠檬酸与BHBA、NEFA、乳脂呈极显著正相关（P<0.01）,当乳中柠檬酸大于0.205% 时可以诊断奶牛患有酮病。The technical solution adopted in the present invention is: a method for diagnosing postpartum ketosis in dairy cows using citric acid in milk, citric acid in milk is closely related to ketosis in dairy cows, and a milk component analyzer and a fully automatic biochemical analyzer are used to measure lemon in milk The content of BHBA and NEFA in serum, through statistical analysis, there is a significant positive correlation between citric acid in milk and BHBA, NEFA, and milk fat ( P<0.01 ), when the citric acid in milk is greater than 0.205%, it can be diagnosed that dairy cows have Have ketosis.
上述方案中实验动物数量、检测指标柠檬酸、BHBA、NEFA、乳脂均具有统计学意义；对实验数据进行Person相关性分析发现，乳中柠檬酸与BHBA、NEFA、乳脂含量均呈极显著的正相关（P<0.01），相关系数分别为r=0.450,p=0.000；r=0.504，p=0.000；r=0.315，p=0.006.对酮病组与健康组实验数据进行独立样本T检验，结果表明酮病组BHBA、NEFA、柠檬酸均极显著的高于健康组（P<0.01）。对两组实验数据进行ROC曲线预警分析，曲线下面积为0.755,柠檬酸对酮病的预警值为0.205%,当乳中柠檬酸大于0.205% 时，可以诊断奶牛患有酮病。The number of experimental animals, detection indicators citric acid, BHBA, NEFA, and milk fat in the above schemes all have statistical significance; the Person correlation analysis of the experimental data shows that citric acid in milk and BHBA, NEFA, and milk fat content are all significantly positive. Correlation ( P<0.01 ), the correlation coefficients were r=0.450, p=0.000; r=0.504, p=0.000; r=0.315, p=0.006. The independent sample T test was carried out on the experimental data of the ketosis group and the healthy group, The results showed that BHBA, NEFA, and citric acid in the ketosis group were significantly higher than those in the healthy group ( P<0.01 ). The ROC curve early warning analysis was carried out on the two groups of experimental data. The area under the curve was 0.755, and the early warning value of citric acid to ketosis was 0.205%. When the citric acid in milk was greater than 0.205%, the dairy cow could be diagnosed as suffering from ketosis.
本发明具有的有益效果是：本发明基于上述背景通过对酮病奶牛与健康奶牛乳汁中柠檬酸含量、血液中BHBA、NEFA含量进行Person相关性分析与ROC曲线分析,明确奶牛发生酮病时乳汁中柠檬酸变化规律，确定乳汁中柠檬酸与奶牛发生酮病时特异性生化指标BHBA、NEFA呈极显著正相关（P<0.01），乳汁中柠檬酸可以以一种体外检测酮病的指标来更准确更方便的监测、诊断奶牛酮病，当乳中柠檬酸大于0.205% 时可以确定奶牛患有酮病，此方法可以避免采血对奶牛造成的伤害，而又较早的监测出酮病，会减少奶牛养殖业的损失。The beneficial effects of the present invention are as follows: based on the above background, the present invention, by performing Person correlation analysis and ROC curve analysis on the content of citric acid in the milk of cows with ketosis and healthy cows, and the contents of BHBA and NEFA in blood, can clearly identify the ketosis of dairy cows. According to the changing law of citric acid in milk, it is determined that citric acid in milk has a very significant positive correlation with the specific biochemical indicators BHBA and NEFA when cows develop ketosis ( P<0.01 ). It is more accurate and convenient to monitor and diagnose dairy cow ketosis. When the citric acid in milk is greater than 0.205%, it can be determined that the cow is suffering from ketosis. This method can avoid the damage caused by blood collection to cows, and detect ketosis earlier. It will reduce the loss of dairy farming industry.
附图说明Description of drawings
图1是BHBA与柠檬酸相关性趋势图Figure 1 is a correlation trend diagram between BHBA and citric acid
图2是NEFA与柠檬酸相关性趋势图Figure 2 is a trend chart of the correlation between NEFA and citric acid
图3是乳脂与柠檬酸相关性趋势图Figure 3 is a correlation trend diagram between milk fat and citric acid
图4是柠檬酸ROC曲线的预警曲线图Figure 4 is the early warning curve of the citric acid ROC curve
具体实施方式detailed description
下面结合实验对本发明进一步说明：Below in conjunction with experiment the present invention is further described:
动物实验：在黑龙江省密山市某散栏式饲养、TMR 饲喂的规模化牛场,选取年龄、体况、胎次相近的产后15～60d的奶牛74头。采集相同时间点的血清与乳汁，对采集血清使用全自动生化分析仪检测BHBA、NEFA含量，以BHBA作为诊断奶牛酮病标准；奶牛血清中BHBA>1.2mmol/L，被诊断为酮病组;BHBA<1.2mmol/L 且没有明显临床症状，被定义为健康组。其中健康组41 头, 酮病组33头。此外，其中患有乳腺炎，子宫炎，流产，由于药物导致的肝病，发热等疾病的奶牛被排除本试验。Animal experiments: 74 dairy cows with similar age, body condition and parity at postpartum 15-60 days were selected in a large-scale cattle farm with free-stall feeding and TMR feeding in Mishan City, Heilongjiang Province. Collect serum and milk at the same time point, and use an automatic biochemical analyzer to detect the content of BHBA and NEFA in the collected serum, and use BHBA as the standard for diagnosing dairy cow ketosis; BHBA>1.2mmol/L in dairy cow serum is diagnosed as the ketosis group; BHBA<1.2mmol/L and no obvious clinical symptoms were defined as the healthy group. Among them, there were 41 animals in the healthy group and 33 animals in the ketosis group. In addition, cows in which diseases such as mastitis, metritis, miscarriage, liver disease due to drugs, fever, etc. were excluded from this experiment.
样品采集和处理：所有奶牛均于清晨饲喂前尾静脉采血10 mL，待自然凝固后，室温下以3000 rpm的转速离心10 min，上清液即所需血清，吸取于EP管内，-20℃冰箱内冻存待检。Sample collection and processing: 10 mL of blood was collected from the tail vein of all dairy cows before feeding in the morning. After natural coagulation, centrifuge at 3000 rpm for 10 min at room temperature. ℃ freezer for testing.
指标测定方法：乳中柠檬酸与乳脂含量使用乳成分分析仪进行检测，BHBA、NEFA代谢指标使用全自动生化分析仪进行测定。Index measurement method: the content of citric acid and milk fat in milk is detected by a milk component analyzer, and the metabolic indexes of BHBA and NEFA are measured by an automatic biochemical analyzer.
数据分析：所有数据应用IBM SPSS19.0软件进行统计分析，计量资料用均数以x±s 表示,组间均值差异显著性采用独立样本T检验分析；相关性分析采用Pearson直线相关性分析，P<0.01为极显著相关；指标预警值计算采用ROC曲线分析，曲线下面积大于0.5表示指标具有预警意义，在0.7～0.9之间表示具有一般的预警作用，大于0.9可以作为金指标进行诊断。Data analysis: All data were statistically analyzed using IBM SPSS19.0 software, and the measurement data were expressed as x±s, and the significance of the mean difference between groups was analyzed by independent sample T test; the correlation analysis was by Pearson linear correlation analysis, P <0.01 means extremely significant correlation; ROC curve analysis is used to calculate the early warning value of indicators. The area under the curve greater than 0.5 indicates that the indicator has early warning significance, and between 0.7 and 0.9 indicates that it has a general early warning effect, and greater than 0.9 can be used as a gold indicator for diagnosis.
实验结果：Experimental results:
统计74例奶牛的乳中柠檬酸、乳脂和血液中BHBA、NEFA检测结果见表1。The test results of citric acid, milk fat in milk and BHBA and NEFA in blood of 74 dairy cows are shown in Table 1.
表1 柠檬酸、乳脂、BHBA、NEFA检测指标情况
采用独立样本T检验分析方法，对两组实验奶牛不同检测指标进行比较分析。两组奶牛柠檬酸、BHBA、NEFA、乳脂指标的比较分析结果见表2。酮病组奶牛乳中柠檬酸与血清中BHBA、NEFA都极显著的高于健康组（P<0.01）。The independent sample T test analysis method was used to compare and analyze the different detection indicators of the two experimental dairy cows. The comparative analysis results of citric acid, BHBA, NEFA and milk fat indexes of dairy cows in the two groups are shown in Table 2. Citric acid in milk and BHBA and NEFA in serum of cows in ketosis group were significantly higher than those in healthy group ( P<0.01 ).
表2 两组奶牛柠檬酸、BHBA、NEFA、乳脂指标的比较Table 2 Comparison of citric acid, BHBA, NEFA and milk fat indexes between two groups of dairy cows
Person相关性分析乳中柠檬酸与酮病代谢性指标的相关性分析结果见表3。乳中柠檬酸与BHBA、NEFA、乳脂呈极显著正相关（P<0.01）。Person correlation analysis The results of correlation analysis between citric acid in milk and metabolic indicators of ketosis are shown in Table 3. Citric acid in milk was significantly positively correlated with BHBA, NEFA and milk fat ( P<0.01 ).
表3 柠檬酸与BHBA、NEFA、乳脂指标相关性分析Table 3 Correlation analysis of citric acid and BHBA, NEFA, milk fat index
由BHBA、NEFA、乳脂与柠檬酸检测结果绘制相关性趋势图如图1、图2、图3；血液中BHBA和NEFA与乳汁中柠檬酸呈正相关趋势，乳汁中的乳脂率与乳中柠檬酸也呈正相关趋势。Figure 1, Figure 2, and Figure 3 draw correlation trend diagrams based on the detection results of BHBA, NEFA, milk fat and citric acid; There is also a positive correlation trend.
应用SPPA软件中的ROC曲线，分析乳中柠檬酸对奶牛酮病的预警作用,曲线图如图，见说明书附图（图4）所示，结果显示曲线下面积为0.755，说明柠檬酸对奶牛酮病具有一般的预警作用，预警值为0.205%。The ROC curve in SPPA software was used to analyze the early warning effect of citric acid in milk on dairy cow ketosis. Ketosis has a general warning function, and the warning value is 0.205%.
乳中柠檬酸与奶牛酮病重要检测指标BHBA、NEFA呈极显著正相关，乳中柠檬酸可以作为体外检测酮病的指标来监测、诊断奶牛酮病，当乳中柠檬酸大于0.205%时可以诊断奶牛患有酮病。Citric acid in milk has a very significant positive correlation with BHBA and NEFA, the important detection indicators of dairy cow ketosis. Citric acid in milk can be used as an indicator for in vitro detection of ketosis to monitor and diagnose dairy cow ketosis. When the citric acid in milk is greater than 0.205%, it can be Diagnosis of ketosis in cows.
Claims (2)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611221630.7A CN106596912B (en) | 2016-12-27 | 2016-12-27 | A method of utilizing citric acid diagnosis of milk cow postpartum ketoacidosis in cream |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611221630.7A CN106596912B (en) | 2016-12-27 | 2016-12-27 | A method of utilizing citric acid diagnosis of milk cow postpartum ketoacidosis in cream |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106596912A true CN106596912A (en) | 2017-04-26 |
| CN106596912B CN106596912B (en) | 2019-01-11 |
Family
ID=58603871
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611221630.7A Active CN106596912B (en) | 2016-12-27 | 2016-12-27 | A method of utilizing citric acid diagnosis of milk cow postpartum ketoacidosis in cream |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106596912B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109378069A (en) * | 2018-08-28 | 2019-02-22 | 昆明理工大学 | An early warning method based on the correlation of disease symptoms |
| CN113481220A (en) * | 2021-08-27 | 2021-10-08 | 黑龙江八一农垦大学 | Blood coding gene CYP1A1 related to dairy cow ketosis and PCR detection kit thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1595154A (en) * | 2004-07-14 | 2005-03-16 | 深圳华康生物医学工程有限公司 | Refined citric acid quantitative determination reagent |
| CN101118237A (en) * | 2007-09-05 | 2008-02-06 | 吉林大学 | A diagnostic test paper for cow subclinical ketosis |
| EP2762882A1 (en) * | 2013-01-31 | 2014-08-06 | Sensirion Holding AG | Portable electronic device with ketone sensor |
| US9316591B1 (en) * | 2015-02-09 | 2016-04-19 | University Of Guelph | Biosensor for detection of subclinical ketosis |
-
2016
- 2016-12-27 CN CN201611221630.7A patent/CN106596912B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1595154A (en) * | 2004-07-14 | 2005-03-16 | 深圳华康生物医学工程有限公司 | Refined citric acid quantitative determination reagent |
| CN101118237A (en) * | 2007-09-05 | 2008-02-06 | 吉林大学 | A diagnostic test paper for cow subclinical ketosis |
| EP2762882A1 (en) * | 2013-01-31 | 2014-08-06 | Sensirion Holding AG | Portable electronic device with ketone sensor |
| US9316591B1 (en) * | 2015-02-09 | 2016-04-19 | University Of Guelph | Biosensor for detection of subclinical ketosis |
Non-Patent Citations (13)
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109378069A (en) * | 2018-08-28 | 2019-02-22 | 昆明理工大学 | An early warning method based on the correlation of disease symptoms |
| CN113481220A (en) * | 2021-08-27 | 2021-10-08 | 黑龙江八一农垦大学 | Blood coding gene CYP1A1 related to dairy cow ketosis and PCR detection kit thereof |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106596912B (en) | 2019-01-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| McArt et al. | Elevated non-esterified fatty acids and β-hydroxybutyrate and their association with transition dairy cow performance | |
| Oetzel | Monitoring and testing dairy herds for metabolic disease | |
| Zachut et al. | Biomarkers of fitness and welfare in dairy cattle: healthy productivity | |
| Voyvoda et al. | Use of a hand-held meter for detecting subclinical ketosis in dairy cows | |
| Hu et al. | Application of metabolomics in diagnosis of cow mastitis: a review | |
| Verma et al. | Challenges and opportunities of bovine milk analysis by mass spectrometry | |
| CN104215774B (en) | A kind of method utilizing FGF21 factor diagnosis of milk cow sub-clinical ketosis | |
| US8753889B1 (en) | Methods for diagnosing and treating disease in animals by the analysis of isotopes in elements such as carbon and nitrogen in animal substrate | |
| Juozaitienė et al. | Investigation of electrical conductivity of milk in robotic milking system and its relationship with milk somatic cell count and other quality traits | |
| Antanaitis et al. | In-line registered milk fat-to-protein ratio for the assessment of metabolic status in dairy cows | |
| Kumari et al. | Metabolic indicators for retention of fetal membranes in Zebu and crossbred dairy cattle | |
| Rial et al. | Metritis and clinical mastitis events in lactating dairy cows were associated with altered patterns of rumination, physical activity, and lying behavior monitored by an ear-attached sensor | |
| CN106596912A (en) | Method for diagnosing ketosis of cow after delivery by use of citric acid in milk | |
| Madani et al. | Platelet indices as useful indicators of neonatal sepsis | |
| Yong et al. | Plasma metabolome alteration in dairy cows with left displaced abomasum before and after surgical correction | |
| Galfi et al. | Detection of subclinical mastitis in dairy cows using California and Draminski mastitis test | |
| AU2020100617A4 (en) | Non-invasive biomarkers for identification/prewarning of dairy cows with fatty liver disease | |
| Ametaj | A systems veterinary approach in understanding transition cow diseases: metabolomics | |
| Samimi et al. | Changes of acute-phase proteins during different physiological conditions in dairy Saanen goats | |
| CN107526945A (en) | A kind of method of serum N EFA evaluation milk milk elements and food conversion level | |
| Mili et al. | Association of blood metabolites with reproductive disorders in postpartum Murrah buffaloes | |
| CN109613222A (en) | A method for diagnosing hypocalcemia in perinatal dairy cows using prenatal blood indicators | |
| CN110702638A (en) | Method for diagnosing subacute rumenic acidosis of cattle by using urine calcium, urine pH and excrement acid detergent fiber | |
| Li et al. | Renal function of dairy cows with subclinical ketosis | |
| Eshratkhah et al. | Variation of some minerals values in subclinical mastitic milk of Buffalo during different ages and lactation stages |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |