Evidence map›Paper›PMID 31445108›Full record

ArticleExperimental gerontology2019

Behavioral and molecular markers of death in Drosophila melanogaster.

John Tower, Siddharth Agrawal, Muthu Palaniappan Alagappan, Hans S Bell, Marton Demeter, Nitin Havanoor, Vinaykumar S Hegde, Yiding Jia, Suraj Kothawade, Xinyi Lin and 10 more

Open access · greenAbstract read
In one paragraph

Article in Experimental gerontology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.5field-weighted citation impact, top 40% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Machine Learning Scoring Reveals Increased Frequency of Falls Proximal to Death in Drosophila melanogaster.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Article
  5. Markers and mechanisms of death inFrontiers in aging · 2023
    Article
  6. Review
  7. Article
  8. Review
  9. Metabolic Signatures of Life Span Regulated by Mating, Sex Peptide, and Mifepristone/RU486 in Female Drosophila melanogaster.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    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

20 authors at 1 institution in 1 country.

John TowerMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America. Electronic address: jtower@usc.edu.
Siddharth AgrawalMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Muthu Palaniappan AlagappanMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Hans S BellMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Marton DemeterMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Nitin HavanoorMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Vinaykumar S HegdeMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Yiding JiaMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Suraj KothawadeMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Xinyi LinMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Chaitanya NadigMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Naveen S RajashekharappaMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Divyashree RaoMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Sanjay Subba RaoMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Prathamesh SanchetiMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Anuj SariaMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Nagarabhi H ShantharamuMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Vatsal SharmaMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Karthik TadepalliMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
Anuj VarmaMolecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, United States of America.
University of Southern California · US

Funding

Sex-Specific Aging MechanismsR01AG057741 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOWER, JOHN GERARD · 2018 to 2021
$1.5M
NIA NIH HHS R01 AG057741
6 · The paper itself

Abstract

Fly movement was tracked through 3-dimensional (3D) space as the fly died, using either reflected visible light, reflected infrared (IR) light, or fly GFP fluorescence. Behaviors measured included centrophobism, negative geotaxis, velocity, and total activity. In addition, frequency of directional heading changes (FDHC) was calculated as a measure of erratic movement. Nine middle-aged flies were tracked as they died during normal aging, and fifteen young flies were tracked as they died from dehydration/starvation stress. Episodes of increased FDHC were observed 0-8 h prior to death for the majority of the flies. FDHC was also increased with age in flies with neuronal expression of a human Abeta42 protein fragment associated with Alzheimer's disease. Finally, green autofluorescence appeared in the eye and body immediately prior to and coincident with death, and fluorescence of GFP targeted to the retina increased immediately prior to and coincident with death. The results suggest the potential utility of FDHC, green autofluorescence, and retinal GFP as markers of neuronal malfunction and imminent death.

Indexed as

Behavior, AnimalDeathAgingAlzheimer DiseaseAnimalsDisease Models, AnimalDrosophila melanogasterFemaleFlight, AnimalFluorescenceGravity SensingGreen Fluorescent ProteinsMaleMicroscopy, FluorescenceMovementOptical ImagingGreen Fluorescent ProteinsAlzheimer's diseaseBiomarkerDeath danceDeath fluorescenceSeizureVideo tracking

Identifiers

PMID31445108
PMCPMC6744963
OpenAlexW2969606954

What OpenQuestion holds

Textmetadata
LicenceTDM
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.