Evidence map›Paper›PMID 33164641›Full record

ArticleAutophagy2021

Measurement of autophagic flux in humans: an optimized method for blood samples.

Julien Bensalem, Kathryn J Hattersley, Leanne K Hein, Xiao Tong Teong, Julian M Carosi, Sofia Hassiotis, Randall H Grose, Célia Fourrier, Leonie K Heilbronn, Timothy J Sargeant

Open access · bronzeAbstract read
In one paragraph

Article in Autophagy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.2field-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

46 citing papers in PubMed, 60 citations in OpenAlex.

  1. Trial
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  3. Virulence · 2026
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  7. Appendix in ulcerative colitis pathogenesis and therapy: An updated narrative review.World journal of gastrointestinal pathophysiology · 2026
    Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Links Between Autophagy and Healthy Aging.Journal of molecular biology · 2026
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. Review
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

10 authors at 3 institutions in 1 country.

Julien BensalemLysosomal Health in Ageing, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.ORCID 0000-0003-3873-4627
Kathryn J HattersleyLysosomal Health in Ageing, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.
Leanne K HeinLysosomal Health in Ageing, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.
Xiao Tong TeongFaculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia.
Julian M CarosiLysosomal Health in Ageing, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.
Sofia HassiotisLysosomal Health in Ageing, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.
Randall H GroseACRF Innovative Cancer Imaging Facility, Cancer Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.ORCID 0000-0001-5011-4637
Célia FourrierLysosomal Health in Ageing, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.ORCID 0000-0003-1505-1559
Leonie K HeilbronnFaculty of Health and Medical Sciences, The University of Adelaide, Adelaide, Australia.ORCID 0000-0003-2106-7303
Timothy J SargeantLysosomal Health in Ageing, Hopwood Centre for Neurobiology, Lifelong Health Theme, South Australian Health and Medical Research Institute, Adelaide, Australia.ORCID 0000-0003-1254-4390
South Australian Health and Medical Research Institute · AUThe University of Adelaide · AUUniversity of South Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autophagic flux is a critical cellular process that is vastly under-appreciated in terms of its importance to human health. Preclinical studies have demonstrated that reductions in autophagic flux cause cancer and exacerbate chronic diseases, including heart disease and the pathological hallmarks of dementia. Autophagic flux can be increased by targeting nutrition-related biochemical signaling. To date, translation of this knowledge has been hampered because there has been no way to directly measure autophagic flux in humans. In this study we detail a method whereby human macroautophagic/autophagic flux can be directly measured from human blood samples. We show that whole blood samples can be treated with the lysosomal inhibitor chloroquine, and peripheral blood mononuclear cells isolated from these samples could be used to measure autophagic machinery protein LC3B-II. Blocking of autophagic flux in cells while still in whole blood represents an important advance because it preserves genetic, nutritional, and signaling parameters inherent to the individual. We show this method was reproducible and defined LC3B-II as the best protein to measure autophagic flux in these cells. Finally, we show that this method is relevant to assess intra-individual variation induced by an intervention by manipulating nutrition signaling with an

Indexed as

AutophagyLeukocytes, MononuclearHumansLysosomesAutophagybiomarkerbloodchloroquinehumanlc3blysosomepbmc

Identifiers

PMID33164641
PMCPMC8525931
OpenAlexW3100403714

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.