Evidence map›Paper›PMID 23279269›Full record

ArticleHepatology research : the official journal of the Japan Society of Hepatology2013

Proteomic analysis of immediate-early response plasma proteins after 70% and 90% partial hepatectomy.

Sudhanshu Kumar, Yuhong Zou, Qi Bao, Mu Wang, Guoli Dai

Abstract read
In one paragraph

Article in Hepatology research : the official journal of the Japan Society of Hepatology, 2013. 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
0.1field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 7 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

5 authors at 1 institution in 1 country.

Sudhanshu KumarDepartment of Biology, School of Science, Center for Regenerative Biology and Medicine, Indiana University-Purdue University Indianapolis.
Yuhong Zou
Qi Bao
Mu Wang
Guoli Dai
Indiana University – Purdue University Indianapolis · US

Funding

Nrf2, Hepatocyte Proliferation, and Liver RegenerationR01DK075968 · NIDDK · UNIVERSITY OF KANSAS MEDICAL CENTER · PI DAI, GUOLI · 2009 to 2013
$1.5M
NIDDK NIH HHS R01 DK075968
6 · The paper itself

Abstract

aimPartial hepatectomy (PH) induces robust hepatic regenerative and metabolic responses that are considered to be triggered by humoral factors. The aim of the study was to identify plasma protein factors that potentially trigger or reflect the body's immediate-early responses to liver mass reduction.

methodsMale C57BL/6 mice were subjected to sham operation, 70% PH or 90% PH. Blood was collected from the inferior vena cava at 20, 60 and 180 min after surgery.

resultsUsing a label-free quantitative mass spectrometry-based proteomics approach, we identified 399 proteins exhibiting significant changes in plasma expression between any two groups. Of the 399 proteins, 167 proteins had multiple unique sequences and high peptide ID confidence (>90%) and were defined as priority 1 proteins. A group of plasma proteins largely associated with metabolism is enriched after 70% PH. Among the plasma proteins that respond to 90% PH are a dominant group of proteins that are also associated with metabolism and one known cytokine (platelet factor 4). Ninety percent PH and 70% PH induces similar changes in plasma protein profile.

conclusionOur findings enable us to gain insight into the immediate-early response of plasma proteins to liver mass loss. Our data support the notion that increased metabolic demands of the body after massive liver mass loss may function as a sensor that calibrates hepatic regenerative response.

Indexed as

liver regenerationpartial hepatectomyplasma proteomics

Identifiers

PMID23279269
PMCPMC4354878
OpenAlexW2140705522

What OpenQuestion holds

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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.