Evidence map›Paper›PMID 28930205›Full record

ReviewMedicines (Basel, Switzerland)2015

Natural Product and Natural Product-Derived Gamma Secretase Modulators from

Mark A Findeis, Frank C Schroeder, Steffen P Creaser, Timothy D McKee, Weiming Xia

Open access · goldAbstract readReview
In one paragraph

Review in Medicines (Basel, Switzerland), 2015. 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 32% 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, 9 citations in OpenAlex.

  1. Review
  2. A Pentacyclic Triterpene fromACS chemical neuroscience · 2020
    Article
  3. Article
  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

5 authors at 4 institutions in 1 country.

Mark A FindeisAria Neurosciences, Incorporated, 295 Washington Ave, Suite 4N, Hamden, CT 06518, USA. mfindeis@arianeurosciences.com.
Frank C SchroederBoyce Thompson Institute and Department of Chemistry and Chemical Biology, Cornell University, 533 Tower Road, Ithaca, NY 14853-1801, USA. schroeder@cornell.edu.
Steffen P CreaserGenzyme, 500 Kendall Street, Cambridge, MA 02142, USA. steffen.creaser@gmail.com.
Timothy D McKeeBiogen, 115 Broadway Street, Cambridge, MA 02142, USA. timothy.mckee@biogen.com.
Weiming XiaDepartment of Veterans Affairs, ENR Memorial Veterans Hospital, 200 Springs Road, Bedford, MA 01730, USA. weiming.xia@va.gov.
Ardent Sound (United States) · USBiogen (United States) · USCornell University · USEdith Nourse Rogers Memorial Veterans Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease is characterized by pathogenic oligomerization, aggregation, and deposition of amyloid beta peptide (Aβ), resulting in severe neuronal toxicity and associated cognitive dysfunction. In particular, increases in the absolute or relative level of the major long form of Aβ, Aβ42, are associated with increased cellular toxicity and rapidity of disease progression. As a result of this observation, screening to identify potential drugs to reduce the level of Aβ42 have been undertaken by way of modulating the proteolytic activity of the gamma secretase complex without compromising its action on other essential substrates such as Notch. In this review we summarize results from a program that sought to develop such gamma secretase modulators based on novel natural products identified in the extract of

Indexed as

Actaea racemosaAlzheimer’s diseaseamyloid precursor proteinbeta-amyloidblack cohoshgamma secretase modulatornatural productSPI-014SPI-1865

Identifiers

PMID28930205
PMCPMC5456218
OpenAlexW1603610031

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.