Evidence map›Paper›PMID 38204362›Full record

ArticleAging cell2024

Age-regulated cycling metabolites are relevant for behavior.

Jessica E Schwarz, Arjun Sengupta, Camilo Guevara, Annika F Barber, Cynthia T Hsu, Shirley L Zhang, Aalim Weljie, Amita Sehgal

Open access · goldAbstract read
In one paragraph

Article in Aging cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.6field-weighted citation impact, top 20% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Jessica E SchwarzHoward Hughes Medical Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-4831-225X
Arjun SenguptaChronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0003-2210-1876
Camilo GuevaraChronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Annika F BarberHoward Hughes Medical Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-5058-939X
Cynthia T HsuHoward Hughes Medical Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Shirley L ZhangHoward Hughes Medical Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0002-6672-2044
Aalim WeljieChronobiology and Sleep Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Amita SehgalHoward Hughes Medical Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID https://orcid.org/0000-0001-7354-9641
Howard Hughes Medical Institute · USUniversity of Pennsylvania · US

Funding

Graduate Training in NeuroscienceT32NS105607 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI Marc V Fuccillo, Minghong Ma · 2018 to 2026
$5.4M
Interaction between circadian and sleep circuitsR01NS048471 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI AMITA SEHGAL · 2005 to 2026
$4.8M
Cycling in a circadian circuitR37NS048471 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SEHGAL, AMITA · 2015 to 2021
$2.7M
Balance of sleep and circadian metabolic switches in DrosophilaR01DK120757 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SEHGAL, AMITA, WELJIE, AALIM M · 2019 to 2022
$2.1M
Cycling of circadium rhythm proteinsR56NS048471 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SEHGAL, AMITA · 2010 to 2010
$400k
Howard Hughes Medical InstituteNIDDK NIH HHS DK120757NIDDK NIH HHS R01 DK120757NINDS NIH HHS NS48471NINDS NIH HHS R01 NS048471NINDS NIH HHS R37 NS048471NINDS NIH HHS R56 NS048471NINDS NIH HHS T32 NS105607NINDS NIH HHS T32-NS105607
6 · The paper itself

Abstract

Circadian cycles of sleep:wake and gene expression change with age in all organisms examined. Metabolism is also under robust circadian regulation, but little is known about how metabolic cycles change with age and whether these contribute to the regulation of behavioral cycles. To address this gap, we compared cycling of metabolites in young and old Drosophila and found major age-related variations. A significant model separated the young metabolic profiles by circadian timepoint, but could not be defined for the old metabolic profiles due to the greater variation in this dataset. Of the 159 metabolites measured in fly heads, we found 17 that cycle by JTK analysis in young flies and 17 in aged. Only four metabolites overlapped in the two groups, suggesting that cycling metabolites are distinct in young and old animals. Among our top cyclers exclusive to young flies were components of the pentose phosphate pathway (PPP). As the PPP is important for buffering reactive oxygen species, and overexpression of glucose-6-phosphate dehydrogenase (G6PD), a key component of the PPP, was previously shown to extend lifespan in Drosophila, we asked if this manipulation also affects sleep:wake cycles. We found that overexpression in circadian clock neurons decreases sleep in association with an increase in cellular calcium and mitochondrial oxidation, suggesting that altering PPP activity affects neuronal activity. Our findings elucidate the importance of metabolic regulation in maintaining patterns of neural activity, and thereby sleep:wake cycles.

Indexed as

Circadian ClocksDrosophilaAnimalsCircadian RhythmPentose Phosphate PathwayReactive Oxygen SpeciesSleepReactive Oxygen SpeciesagingDrosophilalipidomicsmetabolomicsneuronal functionsleep

Identifiers

PMID38204362
PMCPMC11019118
OpenAlexW4390743248

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.