Evidence map›Paper›PMID 29402223›Full record

ArticleBMC nephrology2018

MORG1

Tzvetanka Bondeva, Claudia Schindler, Katrin Schindler, Gunter Wolf

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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

4 authors at 1 institution in 1 country.

Tzvetanka BondevaDepartment of Internal Medicine III, Jena University Hospital, Am Klinikum 1, D-07740, Jena, Germany.
Claudia SchindlerDepartment of Internal Medicine III, Jena University Hospital, Am Klinikum 1, D-07740, Jena, Germany.
Katrin SchindlerDepartment of Internal Medicine III, Jena University Hospital, Am Klinikum 1, D-07740, Jena, Germany.
Gunter WolfDepartment of Internal Medicine III, Jena University Hospital, Am Klinikum 1, D-07740, Jena, Germany. GWolf@med.uni-jena.de.
Jena University Hospital · DE

Funding

German Federal Ministry of Education and Research 01EO1002, Project D1.3
6 · The paper itself

Abstract

backgroundThe MAPK-organizer 1 (MORG1) play a scaffold function in the MAPK and/or the PHD3 signalling paths. Recently, we reported that MORG1

methodsEndotoxemia was induced in mice by an intraperitoneal (i.p) application of 5 mg/kg BW LPS. The renal damage was estimated by periodic acid Schiff's staining; renal injury was evaluated by detection of urinary and plasma levels of neutrophil gelatinase-associated lipocalin and albumin/creatinine ratio via ELISAs. Renal mRNA expression was assessed by real-time PCR, whereas the protein expression was determined by immunohistochemistry or Western blotting.

resultsLPS administration increased tubular injury, microalbuminuria, IL-6 plasma levels and renal TNF-α expression in MORG1

conclusionsMORG1 heterozygosity protects against histological renal damage and shows anti-inflammatory effects in a murine endotoxemia model through modulation of HIF-2α stabilisation and/or simultaneous inhibition of the NF-κB signalling. Here, we show for the first time that MORG1 scaffold could represent the missing link between innate immunity and inflammation.

Indexed as

Disease Models, AnimalAcute Kidney InjuryAdaptor Proteins, Signal TransducingAnimalsEndotoxemiaInflammationMaleMiceMice, Inbred C57BLMice, TransgenicRandom AllocationAdaptor Proteins, Signal TransducingMORG1 protein, mouseEndotoxemiaHIF-2αInflammationMORG1PHD3Renal injury

Identifiers

PMID29402223
PMCPMC5800025
OpenAlexW2796204687

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.