Evidence map›Paper›PMID 19543057›Full record

ArticleTransplantation2009

Urinary Peptide patterns in native kidneys and kidney allografts.

Yan Zhang, William S Oetting, Stephen B Harvey, Matthew D Stone, Teresa Monkkonen, Arthur J Matas, Fernando G Cosio, Gary L Nelsestuen

Abstract read
In one paragraph

Article in Transplantation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

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

8 authors.

Yan ZhangDepartment of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA.
William S Oetting
Stephen B Harvey
Matthew D Stone
Teresa Monkkonen
Arthur J Matas
Fernando G Cosio
Gary L Nelsestuen

Funding

Viral Infections and Posttransplant MorbidityP01DK013083 · NIDDK · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MATAS, ARTHUR J · 1986 to 2013
$14.9M
NIDDK NIH HHS P01 DK013083
6 · The paper itself

Abstract

backgroundThe use of biopsies to determine kidney health after kidney transplantation is an invasive procedure with some risk to the patient. Consequently, a noninvasive test for transplanted kidney health would provide a significant advantage over current clinical practice.

methodsUrines from kidney donors before nephrectomy, pretransplant patients with native kidney disease, and posttransplant kidney recipients were examined for protein biomarkers to diagnose or prognose kidney disease. Proteins were extracted by C4 reverse phase affinity and analyzed by matrix assisted laser desorption/ionization time-of-flight mass spectrometry.

resultsUrine from individuals with healthy kidneys showed few components other than two ubiquitous saposin B glycoisoforms. Patients with kidney disease lacked saposin B and showed new components in two patterns: the most common contained beta-2 microglobulin (B2M, m/z=11,732) plus one or more peaks at m/z=10,350, 9480, 4337, and 4180. Pattern 2 lacked beta-2 microglobulin but contained several degradation products of alpha-1 antitrypsin. Other pathologic components included urinary protein 1 (m/z=15,835), transthyretin (m/z=13,880), and a component at m/z=13,350.

conclusionsPatients with acute rejection showed profiles that ranged from those of kidney donors to those of advanced kidney disease. The range of patterns may be useful for analysis of transplant patients without complications and persons with developing kidney disease before or after transplant.

Indexed as

AdolescentAdultChildChromatography, AffinityDiabetes MellitusFemaleHumansKidneyKidney TransplantationMaleMiddle AgedNephrectomyPeptidesPolycystic Kidney DiseasesReference ValuesSaposinsPeptidesSaposins

Identifiers

PMID19543057
PMCPMC3628615

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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.