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Screening of polycystic ovarian syndrome intestinal flora biomarker and application thereof

A biomarker, polycystic ovary technology, applied in the prognostic monitoring of polycystic ovary syndrome, the field of intestinal flora markers, can solve disease confusion, unfavorable clinical accurate diagnosis and guidance, and heterogeneous clinical manifestations of patients High specificity and sensitivity, comfortable and non-invasive testing, and accuracy guaranteed

Pending Publication Date: 2021-06-01
GUANGDONG HOSPITAL OF TRADITIONAL CHINESE MEDICINE
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the heterogeneity of clinical manifestations of patients is large, it is easy to be confused with other diseases, and the lack of experience of ultrasound doctors and many other factors are not conducive to accurate clinical diagnosis and guidance of related treatments.

Method used

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  • Screening of polycystic ovarian syndrome intestinal flora biomarker and application thereof
  • Screening of polycystic ovarian syndrome intestinal flora biomarker and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] 1.1 Sample collection

[0045] From March 2018 to May 2019, 23 patients with polycystic ovary syndrome and 23 healthy female controls were selected from the Gynecology Clinic of Guangdong Provincial Hospital of Traditional Chinese Medicine. After collecting stool samples, they were quickly transferred to -80°C for storage and DNA was extracted.

[0046] 1.2 Metagenome sequencing and assembly

[0047] The extracted DNA samples were used to construct a sequencing library, and two-way (Paired-end) metagenomic sequencing (insert fragment 350bp, read length 100bp) was performed on the Illumina HiSeq2000 sequencing platform. Filter the data generated by sequencing (quality-controlled), remove adapter contamination sequences, low-quality sequences and host genome contamination sequences, and obtain high-quality sequencing fragments (reads).

[0048] 1.3 Analysis of marker strains between groups

[0049] Drawing through LEfSe analysis software, and doing linear discriminant a...

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PUM

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Abstract

The invention discloses a polycystic ovarian syndrome (PCOS) biomarker combination based on intestinal flora. The polycystic ovarian syndrome (PCOS) biomarker combination is applied to polycystic ovarian syndrome intestinal flora detection, polycystic ovarian syndrome disease risk prediction and polycystic ovarian syndrome prognosis monitoring. The polycystic ovarian syndrome biomarker combination based on intestinal flora is characterized by comprising the following components: 1) a biomarker 1: Ruminococcus_bromii; a biomarker 2: Gordonibacterium_pamelaeae; a biomarker 3: Eesulfovibrio_piger; a biomarker 4: Eubacterium_ventriosum, and a biomarker 5: Prevotella_stercorea; and 2) a polycystic ovarian syndrome biomarker combination diagnosis model based on the intestinal flora has the advantages of high sensitivity, strong specificity and simple result judgment.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and specifically relates to a marker of intestinal flora, and its use in polycystic ovary syndrome intestinal flora detection, polycystic ovary syndrome risk prediction, and polycystic ovary syndrome prognosis monitoring in the application. Background technique [0002] Polycystic ovary syndrome (PCOS) is one of the most common endocrine diseases in women of reproductive age, characterized by irregular menstrual cycles, excessive androgen, anovulation and polycystic ovary morphology. Many studies have shown that if PCOS patients are not treated effectively, it can lead to the occurrence of cardiovascular and cerebrovascular and metabolic related diseases, type II diabetes and even endometrial cancer, which seriously affects the quality of life of patients. The latest domestic epidemiological survey shows that the incidence rate of PCOS in women aged 19-45 is 5-10%, while the incidence rate o...

Claims

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Application Information

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IPC IPC(8): C12Q1/6883G16B30/10G16B20/30
CPCC12Q1/6883G16B20/30G16B30/10
Inventor 徐建华汪湾刘冬冬
Owner GUANGDONG HOSPITAL OF TRADITIONAL CHINESE MEDICINE
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