A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Neutrophil gelatinase-associated lipocalin (NGAL) in kidney injury - A systematic review. | LitMetric

Neutrophil gelatinase-associated lipocalin (NGAL) in kidney injury - A systematic review.

Clin Chim Acta

Department of Basic Medical Sciences, College of Medicine, University of Bisha, Bisha 61922, Saudi Arabia. Electronic address:

Published: November 2022

AI Article Synopsis

  • NGAL is a secretory protein linked to neutrophils that serves as a key biomarker for early detection of acute kidney injury (AKI) and has potential for diagnosing systemic diseases tied to kidney issues.
  • NGAL was evaluated through a systematic review of 24 studies, showing its predictive value across diverse age groups and various medical conditions, including heart failure and kidney transplant rejection.
  • The findings suggest that both urinary and serum NGAL levels can independently predict kidney complications as well as issues related to cardiovascular and liver diseases, highlighting its significance in patient prognosis.

Article Abstract

Background: Neutrophil Gelatinase Associated Lipocalin (NGAL) is a secretory protein of neutrophils that can be found both in plasma and urine. Previous works have demonstrated a valuable marker for the early detection of acute kidney injury. In this systematic review, we aimed to assess whether NGAL could be helpful in the diagnosis and prognosis of systemic diseases with kidney involvement.

Methods: MEDLINE, PubMed, and EMBASE databases were searched for NGAL, described as a human biomarker for diseases (total: 1690). Specifically, included studies describing the use of NGAL for determining kidney injury outcomes and other conditions associated with kidney dysfunction, including cardiovascular diseases, cardiac surgery, and critically ill systemic disorders.

Results: A total of 24 validated studies were included in the systemic review after applying the exclusion criteria. In all these studies, NGAL appeared to have a predictive value irrespective of age, from newborn to 78 years. The results indicate that NGAL levels can accurately predict the outcome and severity of acute kidney injury occur in several disease processes, including contrast-induced AKI during cardiac surgery, kidney transplant rejection, chronic heart failure, and systemic inflammation in critically ill patients, even though the significance of NGAL is highly variable across studies. Very high plasma NGAL levels were observed in the patients before the acute rejection of the kidney, indicating the prognostic potential of the NGAL. Specifically, the assays conducted before 72 hrs provided a significant predictive value.

Conclusion: Urinary and serum NGAL appears to be an independent predictor of not only kidney complications but also cardiovascular and liver-related diseases. The kidney is also involved in pathogenesis.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.cca.2022.08.029DOI Listing

Publication Analysis

Top Keywords

kidney injury
16
ngal
11
kidney
10
lipocalin ngal
8
injury systematic
8
systematic review
8
acute kidney
8
diseases kidney
8
cardiac surgery
8
critically ill
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!