Evidence map›Paper›PMID 32822114›Full record

ArticleJournal of cellular and molecular medicine2020

Urinary cMet as a prognostic marker in immunoglobulin A nephropathy.

Jung Nam An, Lilin Li, Junghun Lee, Seung-Shin Yu, Jin Hyuk Kim, Jeonghwan Lee, Yong Chul Kim, Dong Ki Kim, Yun Kyu Oh, Chun Soo Lim and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. LncRNA PTTG3P induced aberrant glycosylated IgA1 production and B cell growth in IgA nephropathy.Environmental science and pollution research international · 2021
    Article
  6. Urinary cMet as a prognostic marker in immunoglobulin A nephropathy.Journal of cellular and molecular medicine · 2020
    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

14 authors at 2 institutions in 2 countries.

Jung Nam AnDepartment of Internal Medicine, Hallym University Sacred Heart Hospital, Anyang, Korea.
Lilin LiDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Junghun LeeR&D Center for Innovative Medicines, Helixmith Co., Ltd., Seoul, Korea.
Seung-Shin YuR&D Center for Innovative Medicines, Helixmith Co., Ltd., Seoul, Korea.
Jin Hyuk KimDepartment of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
Jeonghwan LeeDepartment of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea.
Yong Chul KimDepartment of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
Dong Ki KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yun Kyu OhDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Chun Soo LimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yon Su KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Sunyoung KimR&D Center for Innovative Medicines, Helixmith Co., Ltd., Seoul, Korea.
Seung Hee YangSeoul National University Kidney Research Institute, Seoul, Korea.ORCID 0000-0002-8575-6610
Jung Pyo LeeDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.ORCID 0000-0002-4714-1260
Seoul National University · KRHallym University Sacred Heart Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prediction of prognosis in patients with immunoglobulin A nephropathy (IgAN) is challenging. We investigated the correlation between urinary cMet (ucMet) levels and clinical parameters and examined the effects of cMet agonistic antibody (cMet Ab) in an in vitro IgAN model. Patients diagnosed with IgAN (n = 194) were divided into three groups representing undetectable (Group 1), below-median (Group 2) and above-median (Group 3) levels of ucMet/creatinine (ucMet/Cr). Stained kidney biopsy samples were graded according to cMet intensity. Primary-cultured human mesangial cells were stimulated with recombinant tumour necrosis factor (TNF)-α and treated with cMet Ab. Our results showed that ucMet/Cr levels positively correlated with proteinuria (P < .001). During the follow-up, patients in Group 3 showed a significantly lower probability of complete remission (CR; uPCr < 300 mg/g) than those in groups 1 and 2, after adjusting for blood pressure, estimated glomerular filtration rate, and proteinuria, which influence clinical prognosis (HR 0.60, P = .038); moreover, ucMet/Cr levels were also associated with glomerular cMet expression. After TNF-α treatment, the proliferation of mesangial cells and increased interleukin-8 and intercellular adhesion molecule-1 expression were markedly reduced by cMet Ab in vitro. In conclusion, ucMet/Cr levels significantly correlated with proteinuria, glomerular cMet expression, and the probability of CR. Further, cMet Ab treatment alleviated the inflammation and proliferation of mesangial cells. Hence, ucMet could serve as a clinically significant marker for treating IgAN.

Indexed as

AdultBiomarkersCreatinineFemaleGlomerulonephritis, IGAHumansKidneyMaleMiddle AgedModels, BiologicalPrognosisProteinuriaProto-Oncogene Proteins c-metRemission InductionBiomarkersCreatinineMET protein, humanProto-Oncogene Proteins c-metcMet agonistic antibodycomplete remissionimmunoglobulin A nephropathyinflammationmesangial cellsprognostic markerproliferationproteinuriaurinary cMet

Identifiers

PMID32822114
PMCPMC7576300
OpenAlexW3081210963

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.