Evidence map›Paper›PMID 16423906›Full record

ArticleClinical chemistry2006

Serum proteomic fingerprints of adult patients with severe acute respiratory syndrome.

Ronald T K Pang, Terence C W Poon, K C Allen Chan, Nelson L S Lee, Rossa W K Chiu, Yu-Kwan Tong, Ronald M Y Wong, Stephen S C Chim, Sai M Ngai, Joseph J Y Sung and 1 more

Abstract read
In one paragraph

Article in Clinical chemistry, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The role of the lectin pathway of the complement system in SARS-CoV-2 lung injury.Translational research : the journal of laboratory and clinical medicine · 2021
    Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. COVID-19: Complement, Coagulation, and Collateral Damage.Journal of immunology (Baltimore, Md. : 1950) · 2020
    Review
  12. Review
  13. In the Crosshairs: RNA Viruses OR Complement?Frontiers in immunology · 2020
    Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

11 authors.

Ronald T K PangCentre for Emerging Infectious Diseases, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, NT, Hong Kong SAR.
Terence C W Poon
K C Allen Chan
Nelson L S Lee
Rossa W K Chiu
Yu-Kwan Tong
Ronald M Y Wong
Stephen S C Chim
Sai M Ngai
Joseph J Y Sung
Y M Dennis Lo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSevere acute respiratory syndrome (SARS) is an emerging infectious disease caused by a new coronavirus strain, SARS-CoV. Specific proteomic patterns might be present in serum in response to the infection and could be useful for early detection of the disease.

methodsUsing surface-enhanced laser desorption/ionization (SELDI) ProteinChip technology, we profiled and compared serum proteins of 39 patients with early-stage SARS infection and 39 non-SARS patients who were suspected cases during the SARS outbreak period. Proteomic patterns associated with SARS were identified by bioinformatic and biostatistical analyses. Features of interest were then purified and identified by tandem mass spectrometry.

resultsTwenty proteomic features were significantly different between the 2 groups. Fifteen were increased in the SARS group, and 5 were decreased. Their concentrations were correlated with 2 or more clinical and/or biochemical variables. Two were correlated with the SARS-CoV viral load. Hierarchical clustering analysis showed that a majority of the SARS patients (95%) had similar serum proteomic profiles and identified 2 subgroups with poor prognosis. ROC curve analysis identified individual features as potential biomarkers for SARS diagnosis (areas under ROC curves, 0.733-0.995). ROC curve areas were largest for an N-terminal fragment of complement C3c alpha chain (m/z 28 119) and an internal fragment of fibrinogen alpha-E chain (m/z 5908). Immunoglobulin kappa light chain (m/z 24 505) positively correlated with viral load.

conclusionsSpecific proteomic fingerprints in the sera of adult SARS patients could be used to identify SARS cases early during onset with high specificity and sensitivity.

Indexed as

AdultAgedAged, 80 and overBiomarkersCluster AnalysisFemaleHumansMaleMiddle AgedProtein Array AnalysisProteomeROC CurveSerumSevere Acute Respiratory SyndromeSevere acute respiratory syndrome-related coronavirusSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkersProteome

Identifiers

PMID16423906
PMCPMC7108167

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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.