Evidence map›Paper›PMID 23594609›Full record

ReviewAmerican journal of physiology. Regulatory, integrative and comparative physiology2013

Detection of endogenous substances with enzymatic microelectrode biosensors in the kidney.

Oleg Palygin, Alexander Staruschenko

Open access · greenAbstract readReview
In one paragraph

Review in American journal of physiology. Regulatory, integrative and comparative physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Oleg PalyginDepartment of Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA. opalygin@mcw.edu
Alexander Staruschenko
Medical College of Wisconsin · US

Funding

Mechanisms and relevance of ENaC regulation by EGF and Rac1R01HL108880 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI STARUSCHENKO, ALEXANDER · 2012 to 2016
$1.9M
NHLBI NIH HHS HL-108880NHLBI NIH HHS R01 HL108880
6 · The paper itself

Abstract

Direct real-time measurements of purinergic agents and reactive oxygen species concentrations have been of great value in understanding the functional roles of these substances in a number of diseases including chronic kidney disease and hypertension. The interstitial concentrations of these intermediate signaling molecules and dynamics of their release are important autocrine and paracrine factors in the kidney, which play a key role in the regulation of oxidative stress, inflammation, and kidney damage. Analysis of signaling mechanisms, especially in vivo and ex vivo, has been slowed by deficiencies of existing methods for direct measurements of the signaling molecules concentrations in whole organs and acute changes in response to endocrine factors. The multienzymatic microelectrode biosensors technique was originally developed and used for the detection of purines release in the brain and in present could be modified to identify the interplay between different substances that could be measured simultaneously in whole organs, such as the kidney. Adaptation of this method for renal and cardiovascular studies represents a unique powerful approach for real-time monitoring of substance level fluctuations in organs or tissues under normal or pathological conditions.

Indexed as

MicroelectrodesAnimalsBiosensing TechniquesHumansInflammationKidneyReactive Oxygen SpeciesSignal TransductionReactive Oxygen SpeciesamperometryATPbiosensorskidneypurinergic signaling

Identifiers

PMID23594609
PMCPMC3726996
OpenAlexW2030420895

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.