Evidence map›Paper›PMID 32530819›Full record

ArticleAging2020

Serum proteomic predicts effectiveness and reveals potential biomarkers for complications in liver transplant patients.

Wenjing Wang, Bo Wang, Chang Liu, Jing Yan, Xiaofan Xiong, Xiaofei Wang, Juan Yang, Bo Guo, Chen Huang

Open access · hybridAbstract read
In one paragraph

Article in Aging, 2020. 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
0.6field-weighted citation impact, top 31% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. 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

9 authors at 3 institutions in 1 country.

Wenjing WangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, P R China.
Bo WangDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, P R China.
Chang LiuDepartment of Hepatobiliary Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, P R China.
Jing YanDepartment of Clinical Medicine, Medical College of Yan'an University, Yan'an 716000, P R China.
Xiaofan XiongDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University, Health Science Center, Shaanxi, Xi'an 710061, P R China.
Xiaofei WangDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University, Health Science Center, Shaanxi, Xi'an 710061, P R China.
Juan YangDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University, Health Science Center, Shaanxi, Xi'an 710061, P R China.
Bo GuoDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University, Health Science Center, Shaanxi, Xi'an 710061, P R China.
Chen HuangDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xi'an Jiaotong University, Health Science Center, Shaanxi, Xi'an 710061, P R China.
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CNInstitute of Genetics and Developmental Biology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sophisticated postoperative complications limit the long-term clinical success of liver transplantation. Hence, early identification of biomarkers is essential for graft and patient survival. High-throughput serum proteomics technologies provide an opportunity to identify diagnostic and prognostic biomarkers. This study is aimed to identify serum diagnosis biomarkers for complications and monitor effectiveness. Serum samples from 10 paired pre- and post-liver transplant patients, 10 acute rejection (AR) patients, 9 ischemic-type biliary lesion (ITBL) patients, and 10 healthy controls were screened using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to explore divergence in polypeptide. Then, we used ELISA and western blot analysis to validate the expression of these potential biomarkers, and studied the correlation of proteomic profiles with clinical parameters. ACLY, FGA, and APOA1 were significantly lower in pre-operative patients compared with healthy controls, and these patients had modest recovery after transplantation. Downregulation of both, ACLY and FGA, was also observed in AR and ITBL patients. Furthermore, bioinformatics analysis was performed and the results suggested that the identified proteins were involved in glucolipid metabolism and the clotting cascade. Together, these findings suggest that ACLY, FGA, and APOA1 could be novel non-invasive and early biomarkers to detect complications and predict effectiveness of liver transplantation.

Indexed as

AdultApolipoprotein A-IATP Citrate (pro-S)-LyaseBiomarkersComputational BiologyEnzyme-Linked Immunosorbent AssayFemaleFibrinogenGraft RejectionHumansLiver TransplantationMaleMiddle AgedPostoperative ComplicationsPreoperative PeriodPrognosisAPOA1 protein, humanApolipoprotein A-IATP Citrate (pro-S)-LyaseBiomarkersFGA protein, humanFibrinogenacute rejection (AR)ischemic-type biliary lesion (ITBL)liver transplantationproteomicserum biomarker

Identifiers

PMID32530819
PMCPMC7343480
OpenAlexW3035658758

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.