Evidence map›Paper›PMID 33034735›Full record

ReviewSeminars in immunopathology2020

Brain aging and garbage cleaning : Modelling the role of sleep, glymphatic system, and microglia senescence in the propagation of inflammaging.

Susanna Gordleeva, Oleg Kanakov, Mikhail Ivanchenko, Alexey Zaikin, Claudio Franceschi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in immunopathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
  2. Review
  3. G-ALPS: An index for evaluating cognitive decline and aging using diffusion tensor imaging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. The Function of Sleep and the Treatment of Primary Insomnia.Deutsches Arzteblatt international · 2023
    Review
  8. Article
  9. Ageing in the brain: mechanisms and rejuvenating strategies.Cellular and molecular life sciences : CMLS · 2023
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. [Neuropathology of dementia].Wiener medizinische Wochenschrift (1946) · 2021
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. 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

5 authors at 3 institutions in 4 countries.

Susanna GordleevaLaboratory of Systems Medicine of Healthy Aging, Lobachevsky Univeristy, Nizhny Novgorod, Russia. gordleeva@neuro.nnov.ru.ORCID 0000-0002-7687-3065
Oleg KanakovLaboratory of Systems Medicine of Healthy Aging, Lobachevsky Univeristy, Nizhny Novgorod, Russia.
Mikhail IvanchenkoLaboratory of Systems Medicine of Healthy Aging, Lobachevsky Univeristy, Nizhny Novgorod, Russia.
Alexey ZaikinLaboratory of Systems Medicine of Healthy Aging, Lobachevsky Univeristy, Nizhny Novgorod, Russia.
Claudio FranceschiLaboratory of Systems Medicine of Healthy Aging, Lobachevsky Univeristy, Nizhny Novgorod, Russia.
N. I. Lobachevsky State University of Nizhny Novgorod · RUInnopolis University · RUSechenov University · RU

Funding

Medical Research Council MR/R02524X/1
6 · The paper itself

Abstract

Brain aging is a complex process involving many functions of our body and described by the interplay of a sleep pattern and changes in the metabolic waste concentration regulated by the microglial function and the glymphatic system. We review the existing modelling approaches to this topic and derive a novel mathematical model to describe the crosstalk between these components within the conceptual framework of inflammaging. Analysis of the model gives insight into the dynamics of garbage concentration and linked microglial senescence process resulting from a normal or disrupted sleep pattern, hence, explaining an underlying mechanism behind healthy or unhealthy brain aging. The model incorporates accumulation and elimination of garbage, induction of glial activation by garbage, and glial senescence by over-activation, as well as the production of pro-inflammatory molecules by their senescence-associated secretory phenotype (SASP). Assuming that insufficient sleep leads to the increase of garbage concentration and promotes senescence, the model predicts that if the accumulation of senescent glia overcomes an inflammaging threshold, further progression of senescence becomes unstoppable even if a normal sleep pattern is restored. Inverting this process by "rejuvenating the brain" is only possible via a reset of concentration of senescent glia below this threshold. Our model approach enables analysis of space-time dynamics of senescence, and in this way, we show that heterogeneous patterns of inflammation will accelerate the propagation of senescence profile through a network, confirming a negative effect of heterogeneity.

Indexed as

Glymphatic SystemAgingBrainCellular SenescenceHumansMicrogliaSleepAgingCellGlymphatic systemInflammagingMicrogliaSenescenceSleepWaste solutes

Identifiers

PMID33034735
OpenAlexW3092010318

What Socratic 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 Socratic graph.