Evidence map›Paper›PMID 38594240›Full record

ReviewCell discovery2024

Immunological aspects of central neurodegeneration.

Mireia Niso-Santano, José M Fuentes, Lorenzo Galluzzi

Open access · goldAbstract readReview
In one paragraph

Review in Cell discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

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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

3 authors at 2 institutions in 3 countries.

Mireia Niso-SantanoDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, Cáceres, Spain. mnisosan@unex.es.
José M FuentesDepartamento de Bioquímica y Biología Molecular y Genética, Facultad de Enfermería y Terapia Ocupacional, Universidad de Extremadura, Cáceres, Spain.
Lorenzo GalluzziDepartment of Radiation Oncology, Weill Cornell Medical College, New York, NY, USA. deadoc80@gmail.com.ORCID http://orcid.org/0000-0003-2257-8500
Instituto de Salud Carlos III · ESCornell University · US

Funding

Radiation Effect on Immune Cells and the MicrobiomeU54CA274291 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Encouse Golden · 2022 to 2026
$9.1M
Targeting the BCL2 immune checkpoint to enhance the immunostimulatory effects of radiation in breast cancerR01CA271915 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Lorenzo Galluzzi · 2023 to 2026
$2.9M
NCI NIH HHS R01 CA271915NCI NIH HHS U54 CA274291
6 · The paper itself

Abstract

The etiology of various neurodegenerative disorders that mainly affect the central nervous system including (but not limited to) Alzheimer's disease, Parkinson's disease and Huntington's disease has classically been attributed to neuronal defects that culminate with the loss of specific neuronal populations. However, accumulating evidence suggests that numerous immune effector cells and the products thereof (including cytokines and other soluble mediators) have a major impact on the pathogenesis and/or severity of these and other neurodegenerative syndromes. These observations not only add to our understanding of neurodegenerative conditions but also imply that (at least in some cases) therapeutic strategies targeting immune cells or their products may mediate clinically relevant neuroprotective effects. Here, we critically discuss immunological mechanisms of central neurodegeneration and propose potential strategies to correct neurodegeneration-associated immunological dysfunction with therapeutic purposes.

Identifiers

PMID38594240
PMCPMC11004155
OpenAlexW4394620408

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.