Evidence map›Paper›PMID 27688741›Full record

ArticleClinical proteomics2016

Increased sialylation of site specific O-glycoforms of hemopexin in liver disease.

Miloslav Sanda, Julius Benicky, Jing Wu, Yiwen Wang, Kepher Makambi, Jaeil Ahn, Coleman I Smith, Peng Zhao, Lihua Zhang, Radoslav Goldman

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Miloslav SandaDepartment of Oncology, Georgetown University, PS Room GD11, 3800 Reservoir Rd NW, Washington, DC 20057 USA.
Julius BenickyDepartment of Oncology, Georgetown University, NRB Room E207, 3970 Reservoir Rd NW, Washington, DC 20057 USA.
Jing WuDepartment of Oncology, Georgetown University, NRB Room E207, 3970 Reservoir Rd NW, Washington, DC 20057 USA.
Yiwen WangDepartment of Oncology, Georgetown University, NRB Room E207, 3970 Reservoir Rd NW, Washington, DC 20057 USA.
Kepher MakambiDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Building D Suite 180 Room 185, 4000 Reservoir Rd NW, Washington, DC 20057 USA.
Jaeil AhnDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University, Basic Science Building D Room 255, 3900 Reservoir Rd NW, Washington, DC 20057 USA.
Coleman I SmithMedStar Georgetown University Transplant Institute, 2-PHC, 3800 Reservoir Rd NW, Washington, DC 20057 USA.
Peng ZhaoComplex Carbohydrate Research Center, University of Georgia, Athens, GA USA.
Lihua ZhangDepartment of Oncology, Georgetown University, PS Room GD11, 3800 Reservoir Rd NW, Washington, DC 20057 USA.
Radoslav GoldmanDepartment of Oncology, Georgetown University, NRB Room E207, 3970 Reservoir Rd NW, Washington, DC 20057 USA.
Georgetown University · USUniversity of Georgia · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI STEPHEN W BYERS · 1990 to 2026
$71.5M
TR&D1: Stem Cell and Induced Pluripotent Stem Cell Resources (Pages 116-134)P41GM103490 · NIGMS · UNIVERSITY OF GEORGIA · PI PIERCE, J. MICHAEL · 2012 to 2018
$13.7M
Glycans in Hepatocellular CarcinomaR01CA135069 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2009 to 2019
$4.1M
Alliance of Glycobiologists for Detection of CancerU01CA168926 · NCI · GEORGETOWN UNIVERSITY · PI GOLDMAN, RADOSLAV · 2012 to 2016
$2.0M
NCI NIH HHS P30 CA051008NCI NIH HHS R01 CA135069NCI NIH HHS U01 CA168926NIGMS NIH HHS P41 GM103490
6 · The paper itself

Abstract

backgroundNon-invasive monitoring of liver disease remains an important health issue. Liver secreted glycoproteins reflect pathophysiological states of the organ and represent a rational target for serologic monitoring. In this study, we describe sialylated O-glycoforms of liver-secreted hemopexin (HPX) and quantify them as a ratio of disialylated to monosialylated form (S-HPX).

methodsWe measured S-HPX in serum of participants of the HALT-C trial using a LC-MS/MS-MRM assay.

resultsRepeated measurements of S-HPX in the samples of 23 disease-free controls, collected at four different time points, show that the ratio remains stable in the healthy controls but increases with the progression of liver disease. The results of measurement of S-HPX in serum of participants of the HALT-C trial show that it increased significantly (Kruskal-Wallis test, p < 0.01) in liver disease as the stage of fibrosis progressed in liver biopsies. We observed a 1.7-fold increase in fibrosis defined as Ishak score 3-4 (24.9 + 14.2, n = 22) and 4.7-fold increase in cirrhosis defined as Ishak score 5-6 (68.6 + 38.5; n = 24) compared to disease-free controls (14.7 + 6.7, n = 23). S-HPX is correlated with AFP, bilirubin, INR, ALT, and AST while inversely correlated with platelet count and albumin. In an independent verification set of samples, S-HPX separated the Ishak 5-6 (n = 15) from the Ishak 3-4 (n = 15) participants with AuROC 0.84; at the same time, the Ishak 3-4 group was separated from disease-free controls (n = 15) with AuROC 0.82.

conclusionS-HPX, a measure of sialylated O-glycoforms of hemopexin, progressively increases in fibrotic and cirrhotic patient of HCV etiology and can be quantified by an LC-MS/MS-MRM assay in unfractionated serum of patients. Quantification of sialylated O-glycoforms of this liver secreted glycoprotein represents a novel measure of the stage of liver disease that could have a role in monitoring the progression of liver pathology.

Indexed as

CirrhosisFibrosisMRM quantificationO-glycosylationSialic acid

Identifiers

PMID27688741
PMCPMC5034550
OpenAlexW2523561603

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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.