Evidence map›Paper›PMID 38984617›Full record

ArticleAutophagy2024

Let's talk about flux: the rising potential of autophagy rate measurements in disease.

Nitin Sai Beesabathuni, Matthew W Kenaston, Ritika Gangaraju, Neil Alvin B Adia, Vardhan Peddamallu, Priya S Shah

Abstract read
In one paragraph

Article in Autophagy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

6 authors.

Nitin Sai BeesabathuniDepartment of Chemical Engineering, University of California, Davis, CA, USA.
Matthew W KenastonDepartment of Microbiology and Molecular Genetics, University of California, Davis, CA, USA.
Ritika GangarajuDepartment of Chemical Engineering, University of California, Davis, CA, USA.
Neil Alvin B AdiaDepartment of Chemical Engineering, University of California, Davis, CA, USA.
Vardhan PeddamalluDepartment of Chemical Engineering, University of California, Davis, CA, USA.
Priya S ShahDepartment of Chemical Engineering, University of California, Davis, CA, USA.ORCID 0000-0001-7518-2839

Funding

Molecular mechanisms linking viral replication and neuropathogenesisR01AI170857 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Priya Shirish Shah · 2023 to 2026
$2.1M
NIAID NIH HHS R01 AI170857
6 · The paper itself

Abstract

Macroautophagy/autophagy is increasingly implicated in a variety of diseases, making it an attractive therapeutic target. However, many aspects of autophagy are not fully understood and its impact on many diseases remains debatable and context-specific. The lack of systematic and dynamic measurements in these cases is a key reason for this ambiguity. In recent years, Loos et al. 2014 and Beesabathuni et al. 2022 developed methods to quantitatively measure autophagy holistically. In this commentary, we pose some of the unresolved biological questions regarding autophagy and consider how quantitative measurements may address them. While the applications are ever-expanding, we provide specific use cases in cancer, virus infection, and mechanistic screening. We address how the rate measurements themselves are central to developing cancer therapies and present ways in which these tools can be leveraged to dissect the complexities of virus-autophagy interactions. Screening methods can be combined with rate measurements to mechanistically decipher the labyrinth of autophagy regulation in cancer and virus infection. Taken together, these approaches have the potential to illuminate the underlying mechanisms of various diseases.

Indexed as

AutophagyNeoplasmsAnimalsAutophagosomesHumansMicrotubule-Associated ProteinsVirus DiseasesMicrotubule-Associated Proteinsautophagy-dependent cell deathAutophagy fluxautophagy perturbationautophagy temporal dynamicscancervirus infection

Identifiers

PMID38984617
PMCPMC11572197

What OpenQuestion holds

Textmetadata
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.