2017
DOI: 10.1093/ndt/gfw406
|View full text |Cite
|
Sign up to set email alerts
|

Predicting albuminuria response to spironolactone treatment with urinary proteomics in patients with type 2 diabetes and hypertension

Abstract: A urinary proteomics classifier can be used to identify individuals with type 2 diabetes who are more likely to show an albuminuria-lowering response to spironolactone treatment. These results suggest that urinary proteomics may be a valuable tool to tailor therapy, but confirmation in a larger clinical trial is required.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
38
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
7

Relationship

3
4

Authors

Journals

citations
Cited by 34 publications
(38 citation statements)
references
References 39 publications
0
38
0
Order By: Relevance
“…It has been applied multiple times for the diagnosis of CKD and even other diseases since its initial publication. CKD273 was recently used to predict mortality in individuals with type 2 diabetes and their response to albuminuria treatment . Other examples for the application of multi‐dimensional marker were published , and the application of CE‐MS in urinary peptidomics for the diagnosis of CKD was reviewed recently .…”
Section: Analytical Applicationsmentioning
confidence: 99%
“…It has been applied multiple times for the diagnosis of CKD and even other diseases since its initial publication. CKD273 was recently used to predict mortality in individuals with type 2 diabetes and their response to albuminuria treatment . Other examples for the application of multi‐dimensional marker were published , and the application of CE‐MS in urinary peptidomics for the diagnosis of CKD was reviewed recently .…”
Section: Analytical Applicationsmentioning
confidence: 99%
“…In addition, one collagen alpha‐1 (I) chain (Figure , peptide with #) peptide was also identified in another study dealing with the prediction of albuminuria response to spironolactone treatment with urinary proteomics in patients with type 2 diabetes and hypertension . In this study, the patients were also stratified in responders and nonresponders.…”
Section: Discussionmentioning
confidence: 78%
“…Using proteomic analysis, previous studies were able to show the effects of different treatments on CKD . Also in this study, we analyzed urine samples from patients, who suffer from resistant HTN with potential complications based on CKD.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…To improve DKD patient care, an individualized molecular‐based treatment algorithm is needed to ensure that treatment recommendations are based on an individual's molecular disease process. Systems biology approaches can comprehensively evaluate the molecular mechanisms driving the diverse responses to therapies as well as identify biomarkers that are able to predict the response to a therapy before treatment is initiated (predictive marker) or select individuals more likely to benefit from subsequent clinical outcomes after a few weeks' of therapy (dynamic marker) . An exemplary study in developing a predictive response to therapy was carried out by Lindhardt et al in patients with type 2 diabetes and therapy‐resistant hypertension .…”
Section: The Use Of Systems Biology Approach To Predict Patients' Resmentioning
confidence: 99%