Evidence map›Paper›PMID 27114845›Full record

ReviewAging and disease2016

Age-associated Cognitive Decline: Insights into Molecular Switches and Recovery Avenues.

Arpita Konar, Padmanabh Singh, Mahendra K Thakur

Abstract readReview
In one paragraph

Review in Aging and disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 4 pooled it
–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

40 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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  17. Severe COVID-19 induces molecular signatures of aging in the human brain.medRxiv : the preprint server for health sciences · 2021
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  19. Strategies to Prevent or Remediate Cancer and Treatment-Related Aging.Journal of the National Cancer Institute · 2021
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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.

Arpita KonarDepartment of Zoology, Banaras Hindu University, Varanasi 221005, India; CSIR-Institute of Genomics and Integrative Biology, New Delhi 110025, India.
Padmanabh SinghDepartment of Zoology, Banaras Hindu University, Varanasi 221005, India.
Mahendra K ThakurDepartment of Zoology, Banaras Hindu University, Varanasi 221005, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-associated cognitive decline is an inevitable phenomenon that predisposes individuals for neurological and psychiatric disorders eventually affecting the quality of life. Scientists have endeavored to identify the key molecular switches that drive cognitive decline with advancing age. These newly identified molecules are then targeted as recovery of cognitive aging and related disorders. Cognitive decline during aging is multi-factorial and amongst several factors influencing this trajectory, gene expression changes are pivotal. Identifying these genes would elucidate the neurobiological underpinnings as well as offer clues that make certain individuals resilient to withstand the inevitable age-related deteriorations. Our laboratory has focused on this aspect and investigated a wide spectrum of genes involved in crucial brain functions that attribute to senescence induced cognitive deficits. We have recently identified master switches in the epigenome regulating gene expression alteration during brain aging. Interestingly, these factors when manipulated by chemical or genetic strategies successfully reverse the age-related cognitive impairments. In the present article, we review findings from our laboratory and others combined with supporting literary evidences on molecular switches of brain aging and their potential as recovery targets.

Indexed as

brain agingcognitive declinegene expressionmolecular mechanismrecovery

Identifiers

PMID27114845
PMCPMC4809604

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.