Evidence map›Paper›PMID 26237545›Full record

ReviewCurrent opinion in infectious diseases2015

A systems biology approach for diagnostic and vaccine antigen discovery in tropical infectious diseases.

Li Liang, Philip L Felgner

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Serum antibody screening using glycan arrays.Chemical Society reviews · 2024
    Review
  3. Limited value of current and newFrontiers in parasitology · 2023
    Article
  4. Identification of Oocyst-DrivenMicroorganisms · 2021
    Review
  5. Article
  6. Article
  7. Developments and Applications of Functional Protein Microarrays.Molecular & cellular proteomics : MCP · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Protein Array-based Approaches for Biomarker Discovery in Cancer.Genomics, proteomics & bioinformatics · 2017
    Review
  13. Article
  14. Article
  15. Article
  16. 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

2 authors at 1 institution in 1 country.

Li LiangDivision of Infectious Diseases, Department of Medicine, University of California, Irvine, California, USA.
Philip L Felgner
University of California, Irvine · US

Funding

TransmissionU19AI089686 · NIAID · CASE WESTERN RESERVE UNIVERSITY · PI BURKOT, TOM · 2010 to 2016
$9.9M
Multiplex Serodiagnostic Protein MicroarrayU01AI078213 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI FELGNER, PHILIP LOUIS · 2008 to 2012
$3.7M
Predicting naturally acquired humoral immunity against malariaR01AI095916 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI FELGNER, PHILIP LOUIS · 2012 to 2016
$2.1M
NIAID NIH HHS AI089686NIAID NIH HHS AI095916NIAID NIH HHS R01 AI095916NIAID NIH HHS U01 AI078213NIAID NIH HHS U01AI078213NIAID NIH HHS U19 AI089686
6 · The paper itself

Abstract

purpose of reviewThere is a need for improved diagnosis and for more rapidly assessing the presence, prevalence, and spread of newly emerging or reemerging infectious diseases. An approach to the pathogen-detection strategy is based on analyzing host immune response to the infection. This review focuses on a protein microarray approach for this purpose. RECENT

findingsHere we take a protein microarray approach to profile the humoral immune response to numerous infectious agents, and to identify the complete antibody repertoire associated with each disease. The results of these studies lead to the identification of diagnostic markers and potential subunit vaccine candidates. These results from over 30 different organisms can also provide information about common trends in the humoral immune response. SUMMARY: This review describes the implications of the findings for clinical practice or research. A systems biology approach to identify the antibody repertoire associated with infectious diseases challenge using protein microarray has become a powerful method in identifying diagnostic markers and potential subunit vaccine candidates, and moreover, in providing information on proteomic feature (functional and physically properties) of seroreactive and serodiagnostic antigens. Combining the detection of the pathogen with a comprehensive assessment of the host immune response will provide a new understanding of the correlations between specific causative agents, the host response, and the clinical manifestations of the disease.

Indexed as

Communicable DiseasesAntigensHumansProtein Array AnalysisSerologic TestsSystems BiologyAntigens

Identifiers

PMID26237545
PMCPMC4666702
OpenAlexW2443430778

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.