Evidence map›Paper›PMID 37627229›Full record

ReviewBiomolecules2023

Central Nervous System Targeted Protein Degraders.

Bedwyr Ab Ion Thomas, H Lois Lewis, D Heulyn Jones, Simon E Ward

Abstract readReview
In one paragraph

Review in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
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

4 authors.

Bedwyr Ab Ion ThomasMedicines Discovery Institute, Cardiff University, Cardiff CF10 3AT, UK.ORCID 0000-0002-3020-0228
H Lois LewisMedicines Discovery Institute, Cardiff University, Cardiff CF10 3AT, UK.
D Heulyn JonesMedicines Discovery Institute, Cardiff University, Cardiff CF10 3AT, UK.
Simon E WardMedicines Discovery Institute, Cardiff University, Cardiff CF10 3AT, UK.ORCID 0000-0002-8745-8377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diseases of the central nervous system, which once occupied a large component of the pharmaceutical industry research and development portfolio, have for many years played a smaller part in major pharma pipelines-primarily due to the well cited challenges in target validation, valid translational models, and clinical trial design. Unfortunately, this decline in research and development interest has occurred in tandem with an increase in the medical need-in part driven by the success in treating other chronic diseases, which then results in a greater overall longevity along with a higher prevalence of diseases associated with ageing. The lead modality for drug agents targeting the brain remains the traditionally small molecule, despite potential in gene-based therapies and antibodies, particularly in the hugely anticipated anti-amyloid field, clearly driven by the additional challenge of effective distribution to the relevant brain compartments. However, in recognition of the growing disease burden, advanced therapies are being developed in tandem with improved delivery options. Hence, methodologies which were initially restricted to systemic indications are now being actively explored for a range of CNS diseases-an important class of which include the protein degradation technologies.

Indexed as

BrainCentral Nervous SystemAmyloidogenic ProteinsAntibodiesAmyloidogenic ProteinsAntibodiesCNSPROTACstargeted protein degraders

Identifiers

PMID37627229
PMCPMC10452695

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.