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A method and marker combination for determining the maturity of the gut microbiota in infants and young children

A technology for intestinal flora, infants and young children, applied in the fields of genomics, biological systems, proteomics, etc., can solve the problem of a large range of baseline standards, which is not conducive to improving the accuracy, precision and robustness of the method, and is not conducive to intestinal bacteria. Problems such as accurate assessment of group status

Active Publication Date: 2021-11-02
SHENZHEN HUADA GENE INST
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The enrollment conditions of the existing methods do not take both into account at the same time, which may make the range of the established baseline standard too large, which is not conducive to the accurate assessment of the intestinal flora status
[0005] 2) Existing methods only consider taxonomic composition when constructing reference baselines and evaluating samples to be tested, and only study at the taxonomic level of genus or species
Therefore, assessing the status of the gut microbiota considering only the taxonomic composition at the species or genus level is not conducive to improving the accuracy, precision and robustness of the method, nor is it conducive to comprehensive biological interpretation.

Method used

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  • A method and marker combination for determining the maturity of the gut microbiota in infants and young children
  • A method and marker combination for determining the maturity of the gut microbiota in infants and young children
  • A method and marker combination for determining the maturity of the gut microbiota in infants and young children

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0182] In this embodiment, human infants are used as research objects.

[0183] 1.1 Baseline Data Acquisition

[0184] Screen samples based on the following principles:

[0185] a. The body mass index (BMI) of the selected individuals is within three standard deviations of the WHO Child Growth Standards.

[0186] b. The selected individuals were born naturally, were breastfed before weaning, and did not use antibiotics one week before sampling.

[0187] In this case, a total of 79 metagenomic sequencing data of the intestinal flora of Chinese infants and young children aged 0-36 months were selected, of which 55 data were randomly selected for model training, and the other 24 data were used for model testing. The data came from samples age in months, with 3-month age as the interval classification, the distribution is as follows Figure 2 to Figure 4 shown; the data of 3 unselected baselines were also selected to illustrate the use of models and standards.

[0188] Analyze...

Embodiment 2

[0210] 2.1 Baseline Data Acquisition

[0211] In this example, based on the samples used in Example 1, the quantitative information of gene composition and its diversity and richness index were selected, and a total of 24,452 candidate markers were selected as the candidate marker library. These genetic components include gene ontology, orthologs, enzymes and the biochemical reactions they catalyze.

[0212] 2.2 Selection of markers

[0213] 1) Filter candidate markers with smaller standard deviations;

[0214] Calculate the standard deviation of each marker in the sample in the standardized candidate marker library of the 55 training samples, and select the marker whose standard deviation is greater than the standard deviation of the 75% quantile, that is, remove the markers that have little difference in the sample There are 6,113 markers in total. The standard deviation distribution of all candidate markers is as follows Figure 11 shown.

[0215] 2) Filter the candida...

Embodiment 3

[0229] 3.1 Baseline Data Acquisition

[0230] In this example, based on the samples used in Example 1, the quantitative information of metabolic pathways and their diversity and richness indices were selected, and a total of 1,505 candidate markers were selected as the candidate marker library.

[0231] 3.2 Selection of markers

[0232] 1) Filter candidate markers with smaller standard deviations;

[0233] Calculate the standard deviation of each marker in the sample in the standardized candidate marker library of the 55 training samples, and select the marker whose standard deviation is greater than the standard deviation of the 75% quantile, that is, remove the markers that have little difference in the sample There are 377 markers in total. The standard deviation distribution of all candidate markers is as follows Figure 17 shown.

[0234] 2) Filter the candidate markers that are less correlated with the age of the sample provider;

[0235] Calculate the Pearson corre...

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Abstract

The present application discloses a method and a combination of markers for determining the maturity of intestinal flora of infants and young children. The method of the present application includes quantitatively analyzing the marker combination of intestinal flora maturity based on the nucleic acid extracted from the isolated sample of the infant to be tested, and comparing the quantitative analysis result of the marker combination with the baseline reference standard. Comparison to determine the relative maturity of gut flora; marker combinations include: X taxonomic units, Y metabolic pathways, and / or Z gene baseline reference standards are extracted from ex vivo samples of standard infant individuals Based on nucleic acid, the results of quantitative analysis of the marker combination of intestinal flora maturity; standard infants and young children meet (a) anthropometric indicators in line with the normal range of WHO child growth standards; (b) natural birth, before weaning Breastfeeding, no antibiotic exposure prior to sampling. The methods of the present application can improve the accuracy, precision and robustness of determining the maturity of the intestinal flora of infants.

Description

technical field [0001] The present application relates to the field of detection and analysis of intestinal microbial colonies, in particular to a method and marker combination for determining the maturity of intestinal flora of infants. Background technique [0002] With the advancement of next-generation high-throughput sequencing technology and the reduction of sequencing costs, gene sequencing has become more and more widely used. In the field of microecological research related to humans, the intestinal flora that constitutes the human "second genome" The most extensive and in-depth research. Intestinal flora is closely related to human health, and plays a particularly important role in the supply of nutrients and the construction of the immune system for infants (or young experimental animals). The establishment and maturation of intestinal flora in infants and young children are affected by many factors, including production methods, feeding methods, and drug use by ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16B5/00G16B20/30G16B40/00
CPCG16B5/00G16B20/00G16B40/00
Inventor 李俊桦彭也陈冰张慧林宇翔贾慧珏
Owner SHENZHEN HUADA GENE INST