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Method for early warning or noninvasive diagnosis of fatty liver dairy cow by using genus-level fecal microorganisms

A technology for microorganisms and fatty liver disease, applied in the fields of analytical chemistry and clinical medicine, can solve problems such as poor prognosis complicated by infectious diseases, troublesome urine collection, unfavorable animal welfare, etc., and achieve low cost, simple operation, and health-promoting effects

Pending Publication Date: 2022-08-05
SHANDONG AGRICULTURAL UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method is invasive and has a negative impact on the health of the cows and is detrimental to animal welfare; moreover, the poor prognosis can lead to concurrent infectious diseases
The patent application number 201910873316.4 discloses a new type of biomarker for non-invasive identification / warning of fatty liver cows, with L-α-aminobutyric acid and behenic acid in feces and 3-nitrotyrosine in urine as biological markers. The marker requires both cow feces and cow urine. Urine collection is cumbersome. If only conveniently collected feces can be used as the source of markers, the identification of fatty liver in dairy cows will be simpler, faster and non-invasive.

Method used

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  • Method for early warning or noninvasive diagnosis of fatty liver dairy cow by using genus-level fecal microorganisms
  • Method for early warning or noninvasive diagnosis of fatty liver dairy cow by using genus-level fecal microorganisms
  • Method for early warning or noninvasive diagnosis of fatty liver dairy cow by using genus-level fecal microorganisms

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Example 1: Verification of the identification ability of microorganisms

[0041] The subjects of this experiment were Chinese Holstein cows within 1 to 2 weeks after calving. The experimental site is a large-scale dairy farm in Shandong, and the feeding management of the cows collected during the experiment is consistent. Using serological testing for primary screening and specific dairy cow liver biopsy for diagnosis, we finally obtained severe fatty liver cows (denoted as SFL), moderate fatty liver cows (denoted as MFL) and normal liver cows (denoted as Norm). The diagnosis of liver biopsy was based on the percentage of fat depositing cells per unit area after oil red O staining, among which the severe fatty liver group, the moderate fatty liver group and the normal liver group were n=12, n=9, and n=10, respectively. head. For three different groups of cows, fasting fecal samples were collected before morning feeding, and cryopreserved in liquid nitrogen for subsequ...

Embodiment 2

[0052] Example 2: Changes in the abundance of microorganisms in the three Norm-MFL-SFL groups

[0053] Three groups of microorganisms, Bifidobacterium (Bifidobacterium), Roseburia (Rosella), and Lachnoanaerobaculum (Lachnoanaerobaculum) were screened by ROC, and the abundance ratio of Bifidobacterium (Bifidobacterium) from Norm was found 2.20% to 18.51% of MFL to 11.42% of SFL can be seen in the diseased group with a large increase. The abundance changes of Roseburia (Roseella) and Lachnoanaerobaculum (Villance anaerobes) in Norm-MFL-SFL also increased in the diseased group, but the abundance ratio was smaller (Table 4).

[0054] Table 4. Changes in relative proportions of fecal microbial genus abundance in dairy cows with different metabolic states (mean value) 1

[0055]

[0056] 1 Note: The proportion of these microorganisms under the premise that the top 20 microorganisms in the fecal microbial abundance of dairy cows in the normal state (Norm) account for 100%.

Embodiment 3

[0057] Example 3: Combination of microbial markers improves validation capabilities

[0058] In order to improve the verification ability of microorganisms between groups, we performed a joint analysis of the three microorganisms at the genus level (as shown in Tables 5 and 6). Using the binary logistic regression in SPSS, the three microbial variables were arranged and combined in different ways, the predicted value after the combination was fitted, and then the ROC analysis was performed. Finally, the combination of the three microorganisms Lachnoanaerobaculum, Roseburia and Bifidobacterium at the genus level was obtained. The grades are the best. In the MFLvsNorm group, the AUC of the combined analysis of the three groups of microorganisms reached 1, and in the SFLvsNorm group, the AUC of the combined analysis of the two groups of microorganisms of Lachnoanaerobaculum and Bifidobacterium reached 0.867.

[0059] Table 5. Accuracy analysis of different microorganisms at the ...

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Abstract

The invention discloses a method for early warning or noninvasive diagnosis of fatty liver cows by using fecal microorganisms at a genus level. The biomarker is characterized in that the biomarker is an anaerobic plush bacterium, a Roseburia bacterium and a Bifidobacterium bacterium at the genus level in the fecal microorganisms, and the biomarker is an anaerobic plush bacterium, a Roseburia bacterium and a Bifidobacterium bacterium at the genus level in the fecal microorganisms. Diagnostic ability verifies that the AUC value of the marker conforms to diagnostic significance, and the marker has higher clinical diagnosis application value; more importantly, the diagnosis capability of conjoint analysis of the three groups of microorganisms has better effects on moderate fatty liver and severe fatty liver. When the biomarker is used for diagnosing, identifying and monitoring the fatty liver dairy cow, the cost is low, the operation is simple, the biomarker is a non-invasive and non-invasive detection means, the concepts of animal welfare and healthy breeding are met, and the biomarker can be widely applied to large-scale breeding of dairy cows in the future to promote the development of the milk industry.

Description

technical field [0001] The invention relates to the technical fields of analytical chemistry and clinical medicine, in particular to a method for early warning or non-invasive diagnosis of fatty liver dairy cows with fecal microorganisms at the genus level. Background technique [0002] Foreign scholars call the transition period, also known as the perinatal period, during the transition from late pregnancy to early lactation, 15 days before and 15 days postpartum. During this important period of the perinatal period, energy intake is reduced due to reduced feed intake, and the amount of exercise is also greatly reduced, while production and lactation require a lot of energy support, which will lead to changes in fat mobilization, causing the body to consume its own fat, The concentration of free fatty acids (NEFA) in the blood increases, and the rate of uptake of free fatty acids by the liver increases. After entering the liver, these NEFAs are esterified to form triglyceri...

Claims

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Application Information

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IPC IPC(8): C12Q1/689C12Q1/6869G01N33/569G01N33/68C12R1/01
CPCC12Q1/689C12Q1/6869G01N33/56911G01N33/6848C12Q2600/124G01N2333/195G01N2333/305G01N2570/00
Inventor 师科荣孙浩铭刘廷俊张璇侯宪朋宋旭阳
Owner SHANDONG AGRICULTURAL UNIVERSITY
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