Discovery of Urinary Proteomic Signature for Differential Diagnosis of Acute Appendicitis.

ABSTRACT: Acute appendicitis is one of the most common acute abdomens, but the confident preoperative diagnosis is still a challenge. In order to profile noninvasive urinary biomarkers that could discriminate acute appendicitis from other acute abdomens, we carried out mass spectrometric experiments on urine samples from patients with different acute abdomens and evaluated diagnostic potential of urinary proteins with various machine-learning models. Firstly, outlier protein pools of acute appendicitis and controls were constructed using the discovery dataset (32 acute appendicitis and 41 control acute abdomens) against a reference set of 495 normal urine samples. Ten outlier proteins were then selected by feature selection algorithm and were applied in construction of machine-learning models using

SUBMITTER: Zhao Y 

PROVIDER: S-EPMC7165319 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature