Identification of plasma SAA2 as a candidate biomarker for the detection and surveillance of non-small cell lung cancer.

This study aimed to measure the expression of SAA2 in plasma and to assess its diagnostic efficacy as a biomarker for non-small cell lung cancer (NSCLC). The gene expression of SAA2 in NSCLC was analyzed based on a database. Then, SAA2 expression was detected by immunohistochemistry in lung tissue and by enzyme-linked immunosorbent assay in 90 patients with NSCLC and 61 normal controls. Finally, the diagnostic performance was assessed in terms of accuracy, sensitivity, and specificity. At the gene and protein levels, the SAA2 expression was significantly higher in the NSCLC group than in the control group (p<0.01). It was higher in lung squamous carcinoma than in lung adenocarcinoma and in males than in females, and this trend was also observed in the lung squamous carcinoma group. Of note, the expression of SAA2 increased with increasing disease stage. Receiver operating characteristic (ROC) curve analysis revealed that the sensitivity of SAA2 was 83.61%, the specificity was 91.11%, and the area under the curve (AUC) was 0.9252. Its accuracy was 68.89%, which was higher than that of other conventional diagnostic biomarkers, and the combined application can effectively improve the diagnostic efficiency. Based on the results, SAA2 expression was positively correlated with the disease stage of NSCLC. Notably, SAA2 is more concerning in male patients with lung squamous carcinoma, and it can help in the screening and diagnosis of NSCLC. SAA2 may represent a novel diagnostic biomarker in NSCLC.

Bile acid profiles and classification model accuracy for inflammatory bowel disease diagnosis.

To investigate the utility of serum bile acid profiling for the diagnosis of inflammatory bowel disease (IBD). We analyzed 15 specific bile acids in the serum of 269 IBD patients, 200 healthy controls (HC), and 174 patients with other intestinal diseases (OID) using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Serum bile acid levels were compared between IBD group, HC group, and OID group. Binary logistic regression-based models were developed to model the bile acids and diagnose IBD. Furthermore, receiver operating characteristic (ROC) curve analysis was performed to assess the diagnostic accuracy of each bile acid and the model. Compared to HC group, IBD group exhibited significantly lower levels of chenodeoxycholic acid (CDCA), deoxycholic acid (DCA), glycodeoxycholic acid (GDCA), taurodeoxycholic acid (TDCA), lithocholic acid (LCA), glycolithocholic acid (GLCA), taurolithocholic acid (TLCA), and an elevated primary-to-secondary bile acid ratio. DCA had an area under the curve (AUC) of 0.860 for diagnosing IBD, with a sensitivity of 80.67% and a specificity of 82.50%. A model Y0 combining DCA and CDCA to distinguish between IBD group and HC group further improved accuracy (AUC = 0.866, sensitivity = 76.28%, specificity = 89.37%). Compared to non-IBD group (which combined healthy controls and those with other intestinal diseases), IBD group had significantly lower levels of DCA, GDCA, TDCA, LCA, GLCA, and TLCA, and elevated levels of glycocholic acid (GCA) and glycochenodeoxycholic acid (GCDCA). A model Y1 incorporating GCDCA, DCA and TLCA to distinguish between IBD group and non-IBD group yielded an AUC of 0.792, with a sensitivity of 77.67% and specificity of 71.91%. IBD patients exhibit decreased serum secondary bile acid levels and an elevated primary-to-secondary bile acid ratio. Serum bile acid alterations are associated with the onset of IBD. A model consisting of CDCA and DCA has potential for distinguishing between IBD group and HC group, while a model incorporating GCDCA, DCA and TLCA may be suitable for distinguishing between IBD group and non-IBD group.