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Application of microbial flora in disease diagnosis

A technology of microorganisms and drugs, applied in the biological field, can solve the problems of inability to achieve early warning and non-invasive diagnosis, and achieve the effect of high accuracy and good sensitivity

Active Publication Date: 2020-12-01
SHIJIAZHUANG PEOPLES HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide intestinal flora related to the occurrence and development of myasthenia gravis and its application in the diagnosis and treatment of myasthenia gravis, so as to overcome the inability of the existing diagnosis of myasthenia gravis to be early Early warning, inability to achieve non-invasive diagnosis and other shortcomings, can help disease diagnosis and guide drug research, precision medicine, etc.

Method used

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  • Application of microbial flora in disease diagnosis
  • Application of microbial flora in disease diagnosis
  • Application of microbial flora in disease diagnosis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Example 1 Screening of intestinal flora associated with myasthenia gravis

[0037] 1. Research objects and sample collection

[0038] The study collected 55 children with myasthenia gravis and 36 healthy controls (HC) of corresponding age and sex collected in the Myasthenia Gravis Treatment Center of the First Hospital of Shijiazhuang City, Hebei Province. The sample information is shown in Table 1.

[0039] Diagnostic criteria: (1) Clinical manifestations: ptosis, diplopia, strabismus; (2) Neostigmine test positive; (3) Acetylcholine receptor antibody positive; (4) EMG: facial nerve attenuation at low frequency, high frequency attenuation No increment. Those who meet one of (1)+(2) or (3) or (4) can be diagnosed clearly.

[0040] Type: Refer to the new clinical type and quantitative myasthenia gravis score (QMG) standard type proposed by the Myasthenia Gravis Association of America (MGFA) in 2000.

[0041] Inclusion criteria: The patients were clearly diagnosed as m...

Embodiment 2

[0068] Example 2 Verifies the accuracy of genome sequencing

[0069] According to the method of Example 1, 19 samples of myasthenia gravis and 13 samples of healthy people were collected, and the patient information is shown in Table 4.

[0070] Table 4 Sample clinical characteristics

[0071]

[0072] Differential flora Prevotella_copri, Clostridium_bartlettii, Fusobacterium_mortiferum, and Helicobacter_cinaedi were randomly selected for sequencing verification, and their diagnostic efficacy for myasthenia gravis was calculated.

[0073] The results showed that the AUC values ​​of Prevotella_copri, Clostridium_bartlettii, Fusobacterium_mortiferum, and Helicobacter_cinaedi were 0.736842105, 0.672064777, 0.821862348, and 0.615384615, respectively, which were comparable to the previous detection results, indicating that the sequencing data of the metagenomic group was accurate.

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Abstract

The invention discloses application of a microbial flora in disease diagnosis, and particularly relates to the microbial flora: Megamonas_funiformis or Fusobacterium_mortiferum. The invention also relates to application of the Megamonas_formers or the Fusobacterium_mortiferum in detection of myasthenia gravis, especially in detection of myasthenia gravis of children. In addition, the invention also relates to application of the Megamonas_formers or the Fusobacterium_mortiferum in prediction and preparation of medicines or functional foods for treating or preventing myasthenia gravis.

Description

technical field [0001] The invention belongs to the field of biotechnology and relates to the application of microbial flora in disease diagnosis. Background technique [0002] Autoimmune disease (Davidson A, Diamond B. Autoimmune diseases [J]. N Engl J Med, 2001, 345 (5): 340-350.) is a disease state caused by the body's immune response to its own components , can be divided into organ-specific and systemic autoimmune diseases. Myasthenia gravis (MG) is an autoimmune disease of the neuromuscular junction, manifested as fluctuating symptoms of muscle weakness, and may also have relatively constant signs. The annual incidence rate in my country is 8.0-20.0 / 100,000 people (Neuroimmunology Group, Neuroimmunology Branch, Chinese Medical Association Neuroimmunology Branch. China Guidelines for Diagnosis and Treatment of Myasthenia Gravis 2015[J]. Chinese Journal of Neurology, 2015 ,48(11):934-940.), wherein the incidence rate of children is 1-5 / 100,000 people (Lai CH, Tseng HF.N...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/6883C12Q1/689G16H50/20G16H50/30A23L33/135A61K35/741A61P21/04
CPCC12Q1/6883C12Q1/689G16H50/20G16H50/30A23L33/135A61K35/741A61P21/04A23V2002/00A23V2200/316Y02A50/30
Inventor 乞国艳
Owner SHIJIAZHUANG PEOPLES HOSPITAL