Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
Clin Chem Lab Med ; 61(9): 1636-1642, 2023 08 28.
Article in English | MEDLINE | ID: mdl-37098041

ABSTRACT

OBJECTIVES: This study assesses the clinical relevance of dipeptidyl peptidase 4 (DPP4) membrane exopeptidase as a biomarker of inflammatory bowel disease (IBD). A spike-and-recovery approach of DPP4 in fecal samples was used to compare two different methods for protein extraction, followed by a stability assessment. METHODS: Fecal samples of healthy volunteers spiked with known concentrations of recombinant DPP4 were processed using a standard manual extraction protocol and the CALEX® protocol. The two methods were compared by quantification of fecal DPP4 by ELISA, followed by Bland-Altman analysis. For the stability assays DPP4 was extracted from fecal samples and stored under different conditions of temperature and time after collection. RESULTS: In general, the levels of spiked DPP4 in stool samples were lower with the manual protocol than in those obtained with the CALEX® method; this trend was corroborated by Bland-Altman analysis. Nonetheless, variability was within the acceptable limits for both protocols. In the stability assessment, no statistically significant differences were found between the results obtained under the different storage conditions. CONCLUSIONS: Both manual and CALEX® protocols provided equal extraction ability of DPP4 from stool samples. In addition, DPP4 provided flexibility in terms of sample storage enabling the accurate assessment of samples delivered up to a week before analysis.


Subject(s)
Dipeptidyl Peptidase 4 , Inflammatory Bowel Diseases , Humans , Dipeptidyl Peptidase 4/metabolism
2.
Inflamm Bowel Dis ; 27(7): 1153-1165, 2021 06 15.
Article in English | MEDLINE | ID: mdl-33295607

ABSTRACT

BACKGROUND: The roles dipeptidyl peptidase 4 (DPP4), aminopeptidase N (APN), and their substrates in autoimmune diseases are being increasingly recognized. However, their significance in inflammatory bowel diseases (IBD) is not entirely understood. This systematic review aims to discuss the pathophysiological processes related to these ectopeptidases while comparing findings from preclinical and clinical settings. METHODS: This review was conducted according to the PRISMA guidelines. We performed a literature search in PubMed, SCOPUS, and Web of Science to identify all reports from inception until February 2020. The search included validated animal models of intestinal inflammation and studies in IBD patients. Quality assessment was performed using SYRCLE's risk of bias tool and CASP qualitative and cohort checklists. RESULTS: From the 45 included studies, 36 were performed in animal models and 12 in humans (3 reports included both). Overall, the methodological quality of preclinical studies was acceptable. In animal models, DPP4 and APN inhibition significantly improved intestinal inflammation.Glucagon-like peptide (GLP)-1 and GLP-2 analogs and GLP-2-relase-inducing drugs also showed significant benefits in recovery from inflammatory damage. A nonsignificant trend toward disease remission with the GLP-2 analog teduglutide was observed in the sole interventional human study. All human studies reported an inverse correlation between soluble DPP4/CD26 levels and disease severity, in accordance with the proposal of DPP4 as a biomarker for IBD. CONCLUSIONS: The use of DPP4 inhibitors and analogs of its substrates has clear benefits in the treatment of experimentally induced intestinal inflammation. Further research is warranted to validate their potential diagnostic and therapeutic applications in IBD patients.


Subject(s)
Dipeptidyl Peptidase 4/blood , Dipeptidyl-Peptidase IV Inhibitors , Inflammatory Bowel Diseases , Animals , Biomarkers/blood , Chronic Disease , Dipeptidyl-Peptidase IV Inhibitors/therapeutic use , Glucagon-Like Peptide 1/analogs & derivatives , Humans , Inflammation , Inflammatory Bowel Diseases/drug therapy
SELECTION OF CITATIONS
SEARCH DETAIL
...