阅读说明：本技术 一种用3个血清生化指标诊断/预警围产期脂肪肝奶牛的方法 (Method for diagnosing/early warning perinatal fatty liver dairy cows by using 3 serum biochemical indexes ) 是由 师科荣 胡成长 张璇 张乐天 王中华 闫振贵 王生轩 李冉冉 徐忠金 杜红霞 于 2019-09-17 设计创作，主要内容包括：本发明公开了一组可用于诊断/预警围产期脂肪肝奶牛的血清生化指标,所述血清生化指标组合由AST、GLU和TCHO组成。采用本发明的血清生化指标组合可以准确可靠的诊断脂肪肝奶牛的发病程度以及在牛群中的发病比例,可为奶牛的养殖生产提供有价值的参考,提高养殖效益,增产增效。(The invention discloses a group of serum biochemical indicators for diagnosing/early warning perinatal fatty liver cows, wherein the serum biochemical indicator combination consists of AST, GLU and TCHO. The serum biochemical index combination can accurately and reliably diagnose the morbidity degree of the fatty liver dairy cows and the morbidity proportion of the fatty liver dairy cows in a herd, can provide valuable reference for the breeding production of the dairy cows, improves the breeding benefit, and increases the yield and the efficiency.)

1. The application of the serum biochemical index combination in preparing a reagent or a kit for diagnosing/early warning perinatal fatty liver cows;

The serum biochemical index combination consists of AST, GLU and TCHO.

2. The application of the reagent for measuring the serum biochemical indexes AST, GLU and TCHO in preparing the diagnostic kit for the fatty liver disease of the milk cow.

3. The use according to claim 2, wherein the diagnostic kit is capable of determining the degree of fatty liver disease.

4. The use according to claim 2, wherein the serum biochemical indicators AST, GLU and TCHO are closely related to the fatty liver disease of the cow, a linear equation for diagnosing the cow with the fatty liver is established by using the 3 serum biochemical indicators, and the incidence degree of the fatty liver is judged according to the linear equation.

5. Use according to claim 4, wherein the linear equation is: c is 1.68772-0.00008523AST-0.40724GLU-0.05079 TCHO.

6. The use according to claim 4 or 5, wherein the method for judging the degree of fatty liver disease according to the linear equation comprises the following steps: when the C is less than or equal to 0.05, the cow is a normal cow; if C is more than 0.05 and less than or equal to 0.20, the milk cow with mild fatty liver is selected; when C is more than 0.20 and less than 0.85, the cow is a moderate fatty liver cow; when the C is more than or equal to 0.85, the dairy cow with severe fatty liver is selected.

7. A system for determining the degree of fatty liver in a cow, the system comprising:

A data acquisition module: the method is used for obtaining the content data of biochemical indexes in the serum of the dairy cow, wherein the biochemical indexes comprise: AST, GLU, and TCHO;

A data processing module: the content data acquisition module is used for acquiring content data of the content data, and substituting the content data into a preset linear equation for processing;

And a result judging module: and the data processing module is used for receiving the numerical value obtained after the data processing module processes the numerical value and judging the incidence degree of the fatty liver of the dairy cow according to the numerical value.

8. The system of claim 7, wherein the predetermined linear equation is: c is 1.68772-0.00008523AST-0.40724GLU-0.05079 TCHO.

9. The system of claim 7, wherein the method for determining the incidence degree of the fatty liver of the cow according to the numerical value comprises the following steps: when the C is less than or equal to 0.05, the cow is a normal cow; if C is more than 0.05 and less than or equal to 0.20, the milk cow with mild fatty liver is selected; when C is more than 0.20 and less than 0.85, the cow is a moderate fatty liver cow; when the C is more than or equal to 0.85, the dairy cow with severe fatty liver is selected.

Technical Field

The invention relates to the technical field of analytical chemistry and clinical medicine, in particular to a method for diagnosing/early warning perinatal fatty liver cows by using 3 serum biochemical indexes.

Background

Fatty liver occurs in early calving stage of cows, and high-yield cows are more likely to have fatty liver. Fatty liver disease is often accompanied by mastitis, retained fetal membranes, abomasum displacement, metritis, and the like. The pregnancy rate of the cow with retained afterbirth and metritis is low when the cow is inoculated again for pregnancy, and the possibility of generating dead fetus is increased; the milk production of cows with mastitis decreases and the produced milk is discarded due to the lack of hygienic standards. Various indications indicate that fatty liver can seriously affect the development of dairy cattle breeding. In addition, the fatty liver has no obvious clinical symptoms in the early stage of the onset, and is already moderate or severe fatty liver once found, and a great deal of manpower and financial resources are needed for completely curing the fatty liver. Therefore, the timely diagnosis and effective prevention measures can prevent or diagnose the occurrence of the fatty liver as early as possible, the culture measures are adjusted in time, and the economic loss is avoided.

In order to realize early diagnosis of the occurrence of the fatty liver of the dairy cows, research attempts are made to predict the occurrence of the fatty liver through some indexes in blood. The Emmanouil Kalaitzakis et al (2010) study suggested that fatty liver can be predicted under certain conditions by ornithine carbamoyltransferase and glutamate dehydrogenase activity in blood and the ratio of NEFA to cholesterol esters. The study by Horea et al (2009) states that dry-milk hypothyroidism may be an early indicator of postpartum fatty liver. Studies by Hachenberg et al (2007) suggest that changes in serum NEFA, IGF-1 may be used as serological indicators for fatty liver diagnosis. The studies by Shen et al (2018) suggest that serum FGF-21 and total hemoglobin are potential markers of fatty liver in cows. However, these studies do not provide a quantitative relationship between fatty liver degree and serum index, and the accuracy of fatty liver diagnosis cannot be determined, so that it is not suitable for production guidance of fatty liver diagnosis.

Reid calculates the correlation of each serum index fat content, and finds that NEFA, GLU, AST and Bilirubin are obviously correlated with the liver fat content. Wherein Bilirubin has correlation with NEFA, GLU and AST, and the NEFA has no correlation with GLU and AST. Ried establishes an equation Y between-0.51 and 0.0032NEFA +2.84GLU-0.0528AST (Reid et al,1983) by using three indexes of NEFA, GLU and AST and fat content, and can judge that the dairy cow has mild fatty liver (< 20%, fat) when Y is more than or equal to 0 and judge that the dairy cow has moderate or severe fatty liver (> 20% fat) when Y is less than 0. The equation provided by Reid can be used for preliminarily judging suspected fatty liver cows and normal cows in a certain range. However, only 8 serum indexes are measured in the scheme, and other indexes closely related to the occurrence of the fatty liver are not measured; and the diagnosis result of the equation has larger deviation through liver biopsy verification. The practicability for judging whether the dairy cow has the fatty liver in each cattle farm is not strong, the accuracy for clinical diagnosis is low, and the condition of judgment deviation is easy to occur.

Disclosure of Invention

aiming at the prior art, the invention aims to provide a group of serum biochemical indexes for diagnosing/early warning perinatal fatty liver cows. The serum biochemical index combination can accurately and reliably diagnose the morbidity degree of the fatty liver dairy cows and the morbidity proportion of the fatty liver dairy cows in a herd, can provide valuable reference for the breeding production of the dairy cows, improves the breeding benefit, and increases the yield and the efficiency.

In order to achieve the purpose, the invention adopts the following technical scheme:

The invention provides the application of the serum biochemical index combination in preparing a reagent or a kit for diagnosing/early warning perinatal fatty liver cows;

The serum biochemical marker combination consists of aspartate Aminotransferase (AST), Glucose (GLU) and Total Cholesterol (TCHO).

In a second aspect of the invention, the use of a reagent for determining serum biochemical indicators AST, GLU and TCHO in the preparation of a diagnostic kit for fatty liver disease in a milk cow is provided.

In the above use, the diagnostic kit can determine the degree of fatty liver.

in the application, the serum biochemical indexes AST, GLU and TCHO are closely related to the fatty liver disease of the dairy cow, a linear equation for diagnosing the fatty liver dairy cow is established by utilizing the 3 serum biochemical indexes, and the incidence degree of the fatty liver is judged according to the linear equation.

The linear equation is: c is 1.68772-0.00008523AST-0.40724GLU-0.05079 TCHO.

In the linear equation, AST, GLU and TCHO respectively represent the contents of the three serum biochemical indexes in serum; the units are respectively as follows: AST (IU/L), GLU (mmol/L), TCHO (. mu.mol/L).

The 3 serum biochemical indexes can be measured by a full-automatic biochemical analyzer.

The method for judging the fatty liver morbidity degree according to the linear equation comprises the following steps: when the C is less than or equal to 0.05, the cow is a normal cow; if C is more than 0.05 and less than or equal to 0.20, the milk cow with mild fatty liver is selected; when C is more than 0.20 and less than 0.85, the cow is a moderate fatty liver cow; when the C is more than or equal to 0.85, the dairy cow with severe fatty liver is selected.

In a third aspect of the present invention, there is provided a system for determining the degree of fatty liver attack in a cow, the system comprising:

A data acquisition module: the method is used for obtaining the content data of biochemical indexes in the serum of the dairy cow, wherein the biochemical indexes comprise: AST, GLU, and TCHO;

A data processing module: the content data acquisition module is used for acquiring content data of the content data, and substituting the content data into a preset linear equation for processing;

and a result judging module: and the data processing module is used for receiving the numerical value obtained after the data processing module processes the numerical value and judging the incidence degree of the fatty liver of the dairy cow according to the numerical value.

The preset linear equation is as follows: c is 1.68772-0.00008523AST-0.40724GLU-0.05079 TCHO.

In the linear equation, AST, GLU and TCHO respectively represent the contents of the three serum biochemical indexes in serum; the units are respectively as follows: AST (IU/L), GLU (mmol/L), TCHO (. mu.mol/L).

The 3 serum biochemical index content data can be obtained by using a full-automatic biochemical analyzer for determination.

Preferably, the method for judging the incidence degree of the fatty liver of the cow according to the numerical value comprises the following steps: when the C is less than or equal to 0.05, the cow is a normal cow; if C is more than 0.05 and less than or equal to 0.20, the milk cow with mild fatty liver is selected; when C is more than 0.20 and less than 0.85, the cow is a moderate fatty liver cow; when the C is more than or equal to 0.85, the dairy cow with severe fatty liver is selected.

The invention has the beneficial effects that:

(1) The invention establishes a linear equation C for diagnosing the fatty liver dairy cow by using 3 serum biochemical indexes (aspartate aminotransferase AST, glucose GLU and total cholesterol TCHO), can judge the incidence degree of the fatty liver according to the C value obtained by calculation of the linear equation, and can realize the early discovery and diagnosis of the potential fatty liver diseased dairy cow in production.

(2) Based on the linear equation C established by the invention, the invention also designs a system for judging the incidence degree of the fatty liver of the dairy cow, and the system can be used for diagnosing the incidence degree of the fatty liver dairy cow and the incidence proportion of the fatty liver dairy cow in a herd, thereby providing valuable reference for the breeding production of the dairy cow, improving the breeding benefit, increasing the production and the efficiency.

drawings

FIG. 1: liver tissue oil red O staining results.

Detailed Description

It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

As described in the background section, in the production of dairy cows by breeding, perinatal cows often develop metabolic disorders, of which fatty liver is the most common. It has been reported that more than 60% of the cows suffered from fatty liver during the transition from the dry period to the lactation period (i.e., perinatal period), and 5-10% of the cows suffered from severe fatty liver, which seriously affects the milk production performance, the production life and the reproductive performance of the cows. In order to find and diagnose potential fatty liver affected cows as early as possible in production, serum indexes are used for predicting the occurrence of fatty liver. Reid proposes a formula for predicting the severity of fatty liver through the concentration of blood sugar, free fatty acid and glutamic-oxalacetic transaminase in blood, and the formula has the advantages of simple and convenient operation and the like as a serological diagnosis method of fatty liver, but the accuracy of the method is poorer than that of liver in vivo sampling, and the deviation is easy to occur; and the cost for measuring the NEFA index is high, the measuring operation of the NEFA is inconvenient, the steps are complicated, and the duration is long.

Based on the above, the invention establishes a linear equation C for diagnosing the fatty liver dairy cattle by using 3 serum biochemical indexes (aspartate aminotransferase AST, glucose GLU and total cholesterol TCHO): c is 1.68772-0.00008523AST-0.40724GLU-0.05079 TCHO.

And C value is calculated according to a linear equation, so that the incidence degree of the fatty liver can be judged. When the C is less than or equal to 0.05, the milk cow is a normal milk cow (fat is less than or equal to 5%); when the C is more than 0.05 and less than or equal to 0.20, the milk cow is a mild fatty liver milk cow (5% < fat and less than or equal to 20%); moderate fatty liver cows when 0.20< C <0.85 (20% < fat < 75%); when C is more than or equal to 0.85, the dairy cattle with severe fatty liver are the dairy cattle with severe fatty liver (fat is more than or equal to 75%). The result verified in 493 cow groups shows that the equation can accurately and reliably diagnose the incidence degree and proportion of the fatty liver cows in the cow groups. Can provide valuable reference for the breeding production of the dairy cows, improve the breeding benefit, increase the yield and improve the efficiency.

In order to conveniently process the data of the large samples of the dairy cow population, the invention also establishes a system for judging the incidence degree of the fatty liver of the dairy cow, and the system comprises:

A data acquisition module: the method is used for obtaining the content data of biochemical indexes in the serum of the dairy cow, wherein the biochemical indexes comprise: AST, GLU, and TCHO; the content data can be obtained by measuring through a full-automatic biochemical analyzer.

A data processing module: the system comprises a data acquisition module, a data storage module and a data processing module, wherein the data acquisition module is used for acquiring content data of biochemical indexes; the preset linear equation is as follows: c is 1.68772-0.00008523AST-0.40724GLU-0.05079 TCHO.

And a result judging module: the data processing module is used for receiving the value C obtained after the data processing module processes the value C and judging the incidence degree of the fatty liver of the dairy cow according to the value C; when the C is less than or equal to 0.05, the cow is a normal cow; if C is more than 0.05 and less than or equal to 0.20, the milk cow with mild fatty liver is selected; when C is more than 0.20 and less than 0.85, the cow is a moderate fatty liver cow; when the C is more than or equal to 0.85, the dairy cow with severe fatty liver is selected.

The system can realize the batch collection and acquisition of the content data of the serum biochemical indexes in the cow group, process the content data, and judge the processing result, thereby obtaining the morbidity degree of the fatty liver in the cow group and the proportion of the fatty liver cows, and facilitating the early diagnosis, early warning and treatment.

In order to make the technical solutions of the present application more clearly understood by those skilled in the art, the technical solutions of the present application will be described in detail below with reference to specific embodiments.

The test materials used in the examples of the present invention, which were not specifically described, were all those conventional in the art and commercially available.