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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 42 out of 100. Down syndrome and Alzheimer's

Topic: Brain proteins, microglia and lab models

Currently no specific biomarkers exist for the screening of pregnancies at risk for Down syndrome (DS). Since a quantitative proteomic approach with isobaric labelling (iTRAQ) has recently been suggested to be highly suitable for the discovery of novel plasma biomarkers, we have now used this method to examine for potential quantitative changes in the plasma proteome of the pregnancies bearing DS fetuses in comparison to normal healthy babies. In our study, we used plasma from six women with DS pregnancies and six with uncomplicated pregnancies care were taken to match cases and controls for gestational and maternal age, as these could be a confounder. In our quantitative proteomics analysis we were able to detect 178 proteins using iTRAQ labelling in conjunction with 4800 MALDI TOF/TOF. Amongst these we observed changes in betaHCG, a known screening marker for DS, indicating that our assay was functional. We found a number of elevated proteins Ig lambda chain C region, serum amyloid P-component, amyloid beta A4, and under expressed proteins like gamma-actin and titin in DS pregnancies. These proteins are also found in the sera of patients with Alzheimer disease, which share similar pathologies of DS. Our study therefore indicates that the iTRAQ labelling approach may be indeed useful for the detection of novel biomarkers.

Key findings

Why it matters

Using iTRAQ labelling on plasma from six women with Down syndrome pregnancies and six with uncomplicated pregnancies, the study detected 178 proteins and found elevated Ig lambda chain C region, serum amyloid P-component and amyloid beta A4, and under expressed gamma-actin and titin. The authors say the approach may be useful for finding novel biomarkers, and these proteins are also found in the sera of patients with Alzheimer's disease.

Study details

How this study scored 42/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record left out, no data; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 0 of 4; Effect reported 0 of 3; Studied in people 0 of 3; Randomised / blinded 0 of 2; Times cited 4 of 7; Citations per year 2 of 5; Impact for its field and year 4 of 6; Cited by studies here 1 of 6; Still being cited 1 of 4; Senior author's track record 3 of 4; Institution's track record 1 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. 40 of the 96 points it could be judged on, which is 42 of 100. Total 42 of 100.40 of the 96 points we could judge = 42 of 100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on journal's citation record, so that was left out: it earned 40 of the 96 points we could judge it on, which is 42 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (Journal of biomedicine & biotechnology)
Journal's citation record — / 4 No journal record from OpenAlex — left out of this score
Study design 0 / 12 No study design recorded — scores zero, not guessed (not stated in the record — scored 0)
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2010 — within 20 year(s) of the newest study here
Sample size 0 / 4 Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 0 / 3 Not stated whether this was studied in people — scores zero (not stated in the record — scored 0)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 4 / 7 Cited 84 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 4.7 citations a year over 18 year(s) since 2010
Impact for its field and year 4 / 6 Cited 13.8× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 2 other studies in this library
Still being cited 1 / 4 Cited 3 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 3 / 4 Last-listed author Sinuhe Hahn: h-index 52 (OpenAlex, whole career)
Institution's track record 1 / 3 National University of Singapore: institution h-index 1,166 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 3 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 19902006)
Free to read 2 / 2 Free to read
Points 40 / 96 Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 40 of the 96 points we could judge it on is 42 out of 100.
Total 42 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.

APA 7th

Kolla, V., Jenö, P., Moes, S., Tercanli, S., Lapaire, O., Choolani, M., et al. (2010). Quantitative proteomics analysis of maternal plasma in Down syndrome pregnancies using isobaric tagging reagent (iTRAQ). Journal of biomedicine & biotechnology. https://doi.org/10.1155/2010/952047

Vancouver

Kolla V, Jenö P, Moes S, Tercanli S, Lapaire O, Choolani M, et al. Quantitative proteomics analysis of maternal plasma in Down syndrome pregnancies using isobaric tagging reagent (iTRAQ). Journal of biomedicine & biotechnology. 2010. doi:10.1155/2010/952047. PMID: 19902006.

BibTeX

@article{kolla2010-19902006,
  author  = {Kolla, V. and Jenö, P. and Moes, S. and Tercanli, S. and Lapaire, O. and Choolani, M. and Hahn, S.},
  title   = {{Quantitative proteomics analysis of maternal plasma in Down syndrome pregnancies using isobaric tagging reagent (iTRAQ)}},
  journal = {Journal of biomedicine \& biotechnology},
  year    = {2010},
  doi     = {10.1155/2010/952047},
  pmid    = {19902006},
  url     = {https://doi.org/10.1155/2010/952047}
}

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