Evidence map›Paper›PMID 25345439›Full record

ArticleScientific reports2014

Correlations of amyloid-β concentrations between CSF and plasma in acute Alzheimer mouse model.

Soo Min Cho, Hyunjin Vincent Kim, Sejin Lee, Hye Yun Kim, Woong Kim, Tae Song Kim, Dong Jin Kim, YoungSoo Kim

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. The glymphatic system and glioblastoma.Brain : a journal of neurology · 2026
    Review
  3. Article
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Abnormal amyloid βBBA clinical · 2017
    Article
  15. Article
  16. Article
  17. Article
  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

8 authors.

Soo Min Cho1] Center for Neuro-Medicine, Brain Science Institute, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, Seoul, Republic of Korea [2] Biological Chemistry Program, Korea University of Science and Technology, 217 Gajungro, Yuseong-gu, Daejeon, Republic of Korea.
Hyunjin Vincent Kim1] Center for Neuro-Medicine, Brain Science Institute, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, Seoul, Republic of Korea [2] Biological Chemistry Program, Korea University of Science and Technology, 217 Gajungro, Yuseong-gu, Daejeon, Republic of Korea.
Sejin Lee1] Center for Neuro-Medicine, Brain Science Institute, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, Seoul, Republic of Korea [2] Biological Chemistry Program, Korea University of Science and Technology, 217 Gajungro, Yuseong-gu, Daejeon, Republic of Korea.
Hye Yun Kim1] Center for Neuro-Medicine, Brain Science Institute, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, Seoul, Republic of Korea [2] Biological Chemistry Program, Korea University of Science and Technology, 217 Gajungro, Yuseong-gu, Daejeon, Republic of Korea [3] Department of Biochemistry and Biomedical Sciences, College of Medicine, Seoul National University, 28 Yungun-dong, Jongro-gu, Seoul, Republic of Korea.
Woong Kim1] Center for Neuro-Medicine, Brain Science Institute, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, Seoul, Republic of Korea [2] Biological Chemistry Program, Korea University of Science and Technology, 217 Gajungro, Yuseong-gu, Daejeon, Republic of Korea.
Tae Song KimCenter for BioMicroSystems, Brain Science Institute, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, Seoul, Republic of Korea.
Dong Jin KimCenter for Neuro-Medicine, Brain Science Institute, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, Seoul, Republic of Korea.
YoungSoo Kim1] Center for Neuro-Medicine, Brain Science Institute, Korea Institute of Science and Technology, Hwarangno 14-gil 5, Seongbuk-gu, Seoul, Republic of Korea [2] Biological Chemistry Program, Korea University of Science and Technology, 217 Gajungro, Yuseong-gu, Daejeon, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amyloid-β (Aβ) is one of the few neuropathological biomarkers associated with transporters of the blood-brain barrier (BBB). Despite the well-characterized clinical indication of decreasing Aβ levels in the cerebrospinal fluid (CSF) during the development of Alzheimer's disease (AD), the link between the alternation of Aβ level in the blood and the progress of the disorder is still controversial. Here, we report a direct correlation of Aβ(1-42) levels between CSF and plasma in AD mouse model. We injected monomeric Aβ(1-42) directly into the intracerebroventricular (ICV) region of normal adult mouse brains to induce AD-like phenotypes. Using sandwich enzyme-linked immunosorbent assays, we observed proportional elevation of Aβ(1-42) levels in both CSF and plasma in a dose-dependent manner. Our findings that plasma Aβ(1-42) reflects the condition of CSF Aβ(1-42) warrant further investigation as a biomarker for the blood diagnosis of AD.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAnimalsBiomarkersDisease Models, AnimalMaleMaze LearningMicePeptide FragmentsAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersPeptide Fragments

Identifiers

PMID25345439
PMCPMC4209448

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.