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A prognostic marker for acute pancreatitis, a prognostic model for acute pancreatitis and its application

A technology of acute pancreatitis and predictive models, applied in the field of disease prognostic markers, acute pancreatitis prognostic markers, and prediction of persistent organ failure status, can solve the problem that cannot be used to predict POF in AP patients, and cannot be used to predict AP Whether the patient has POF, no typical diagnostic markers, etc.

Active Publication Date: 2021-07-06
SHANGHAI BIOTECAN PHARMA +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] CN101827941A discloses a method for distinguishing pancreatic cancer from normal pancreatic function and / or chronic pancreatitis, said method comprising detecting the expression level of hsa-miR gene products in tissue samples, said hsa-miR gene comprising hsa-miR- 21. hsa-miR-221, hsa-miR-222, hsa-miR-181a, hsa-miR-181b, hsa-miR-181d and hsa-miR-155 and their combinations, but the above hsa-miR genes are not AP prognosis markers, cannot be used to predict whether AP patients will develop POF in the prognostic process
However, the hsa-miRNA mentioned above is also not a prognostic marker for AP, and cannot be used to predict whether POF will occur in AP patients.
[0007] Therefore, there are currently no typical diagnostic markers for AP diseases with POF, and providing specific markers for AP diseases with POF can be used for prognosis evaluation and early screening of clinical AP patients, which will help provide patients with more accurate Pre-diagnosis and diagnosis information is of great significance

Method used

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  • A prognostic marker for acute pancreatitis, a prognostic model for acute pancreatitis and its application
  • A prognostic marker for acute pancreatitis, a prognostic model for acute pancreatitis and its application
  • A prognostic marker for acute pancreatitis, a prognostic model for acute pancreatitis and its application

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Embodiment 1

[0051] Example 1 Extraction and identification of exosomes

[0052] In this example, serum exosomes were isolated and screened from serum samples of patients with acute pancreatitis. The results of electron microscopy are shown in Figure 1(A). Exosomes are round particles with a double-membrane structure. The results of the analysis experiment are shown in Figure 1(B). The diameter of most of the particles is in the range of 30-150 nm, which meets the standards for exosome identification, indicating that serum exosomes were successfully extracted from serum samples.

Embodiment 2

[0053] The hsa-miRNA expression profile of the sample in Example 2

[0054] The research sample of the present invention comprises the serum sample of 790 routine acute pancreatitis (AP) patients, is divided into training set and two verification sets, wherein, the AP patient of persistent organ failure (POF) takes place and the AP patient of non-POF compares, The prognosis is poor, the score obtained after scoring by APACHE or BISAP system is high, and the parameters of blood urea nitrogen (BUN) and creatinine are high.

[0055] In the discovery phase, 5 AP samples with POF and 5 AP samples without POF were analyzed by microarray, and 90 differentially expressed exosomal hsa-miRNAs were identified; these 90 exosomal hsa-miRNAs Cluster analysis of expression profiles can achieve the absolute separation of the above 10 samples, indicating that serum exosomal hsa-miRNA has a potential predictive ability for AP with POF. To minimize false positive results, 55 of the 90 exosomal ...

Embodiment 3

[0056] The establishment of embodiment 3 prediction model

[0057] In the training set containing 41 AP samples with POF and 186 AP samples without POF, the remaining 35 exosomal hsa-miRNAs were validated by quantitative PCR, and 17 of them were excluded based on the detection rate of less than 75%. a hsa-miRNA;

[0058] Among the remaining 18 hsa-miRNAs, 12 hsa-miRNAs (hsa-miR-4265, 1208, 516a, 3127, 631, 3180, 5194, 4294, 4513, 4685, 4776, and 6083) were significantly associated with POF status (p<0.001); binomial logistic regression modeling was carried out on these 12 hsa-miRNAs, and a mathematical model based on 3 hsa-miRNAs (hsa-miR-4265, 1208, 3127) was constructed to predict whether POF occurred in AP patients , and determine the equation for the model:

[0059] C mi =6.043+0.244×hsa-miR-3127+0.511×hsa-miR-4265+0.309×hsa-miR-1208

[0060] In this embodiment, hsa-miR-4265, 1208 and 516a were simultaneously selected as individual candidate markers for POF prediction ...

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Abstract

The present invention provides a prognostic marker for acute pancreatitis, a prognostic model for acute pancreatitis and applications thereof, the markers include hsa-miR-4265, hsa-miR-1208, hsa-miR-516a or hsa-miR- Any one of 3127 or a combination of at least two. hsa-miR-4265, hsa-miR-1208, hsa-miR-516a and hsa-miR-3127 of the present invention have a significant correlation with acute pancreatitis with persistent organ failure, according to the relative expression levels of the above markers Contribute to the establishment of a prognosis prediction model for acute pancreatitis, individualized prediction of whether persistent organ failure occurs in patients with acute pancreatitis, and provide accurate and useful prognosis information for patients with acute pancreatitis.

Description

technical field [0001] The present invention relates to the field of biotechnology, to the technical field of gene diagnosis, to a disease prognosis marker, a disease prognosis prediction model and applications thereof, in particular to an acute pancreatitis prognosis marker, an acute pancreatitis prognosis prediction model and its application in the prediction Application in states of persistent organ failure. Background technique [0002] Acute pancreatitis (AP) is a common gastrointestinal disease with an increasing incidence worldwide, placing a heavy burden on the current healthcare system. Most patients with AP have a mild clinical course and are curable without sequelae. Nevertheless, 10% to 20% of AP patients have persistent organ failure (POF), which is considered to be the main determinant of poor prognosis, with a mortality rate as high as 30%. Early prediction of whether AP patients will develop POF during the prognosis process is of great clinical significance...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): C12Q1/6883G16B40/00G16B20/00G16H50/70
CPCC12Q1/6883C12Q2600/118C12Q2600/136C12Q2600/158C12Q2600/178G16H50/70G16B20/00G16B40/00
Inventor 杜奕奇孔祥毓李兆申李磊孔凡扬吴守信程雅文楼敬伟
Owner SHANGHAI BIOTECAN PHARMA
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