Cited by 596Genetics, Aging, and Longevity in Model OrganismsPI3K/AKT/mTOR signaling in cancerAutophagy in Disease and Therapy

mTOR as Regulator of Lifespan, Aging, and Cellular Senescence: A Mini-Review

Open access
Weichhart, Thomas·2018·Gerontology

Abstract

The mechanistic target of rapamycin (mTOR) network is an evolutionary conserved signaling hub that senses and integrates environmental and intracellular nutrient and growth factor signals to coordinate basic cellular and organismal responses such as cell growth, proliferation, apoptosis, and inflammation depending on the individual cell and tissue. A growing list of evidence suggests that mTOR signaling influences longevity and aging. Inhibition of the mTOR complex 1 (mTORC1) with rapamycin is currently the only known pharmacological treatment that increases lifespan in all model organisms studied. This review discusses the potential mechanisms how mTOR signaling controls lifespan and influences aging-related processes such as cellular senescence, metabolism, and stem cell function. Understanding these processes might provide novel therapeutic approaches to influence longevity and aging-related diseases.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1159/000484629

Cites

65 of 65 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Cellular senescence is associated with changes in cellular metabolism including upregulation of lysosomal senescence-associated β-galactosidase, a shift from oxidative phosphorylation to glycolysis, and accumulation of lipofuscin in the cytoplasm.

    “Cellular senescence is associated with changes in cellular metabolism. These include upregulation of lysosomal senescence-associated β-galactosidase, a shift from oxidative phosphorylation to glycolysis [54,55] and accumulation of lipofuscin in the cytoplasm [56,57].”

    From Ageing, Cellular Senescence and Neurodegenerative Disease (2018) · cites this paper as [55]

  • The senescence-associated secretory phenotype consists of pro-inflammatory cytokines, proteases, chemokines, and extracellular matrix degrading proteins.

    “The SASP consists of a noxious secretome comprised of pro-inflammatory cytokines, proteases, chemokines, and extracellular matrix degrading proteins (24–27).”
  • mTORC2 controls cell proliferation and survival by the phosphorylation of several protein kinases, including AKT and SGK1.

    “mTORC2 controls cell proliferation and survival by the phosphorylation of several protein kinases, including AKT and SGK1.”
  • The mTOR pathway controls autophagy and thus lifespan.

    “Another nutrient-sensing pathway that controls autophagy and thus lifespan is the mTOR pathway [148,149,150,151,152].”
  • mTORC1 regulates cell growth and metabolism and negatively regulates autophagy.

    “mTORC1 regulates cell growth and metabolism and negatively regulates autophagy.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. [61]Groth CG Bäckman L Morales JM Calne R Kreis H Lang P Sirolimus (rapamycin)-based therapy in human renal transplantation: similar efficacy and different toxicity compared with cyclosporine. Sirolimus European Renal Transplant Study Group Transplantation 1999 4 15 67 1036 1042 10221490

Cited by

Sorted by citations

Authors
Weichhart, T.
Affiliations
Medical University of Vienna (AT)
Corresponding author
Weichhart, Thomas
Venue
Gerontology
Publisher
S. Karger AG
Published
2017-12-01
Volume
64
Issue
2
Pages
127-134
ISSN
  • 0304-324X (ISSN-L)
  • 1423-0003
OpenAlex
W2774620560
Cited by
596
References
65
Citations by year
2026: 37 · 2025: 75 · 2024: 92 · 2023: 83 · 2022: 98 · 2021: 97 · 2020: 62 · 2019: 37 · 2018: 15
FWCI
3.50
Type
journal article
Language
en
Open access
Locations
  • Gerontology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
  • Health Sciences › Medicine › Epidemiology › Autophagy in Disease and Therapy
Keywords
mTOR signaling, lifespan, aging, cellular senescence, mTORC1, rapamycin, longevity, metabolism, stem cell function, nutrient sensing, age-related diseases
MeSH terms
Aging, Animals, Autophagy, Humans, Longevity, Mitochondria, Stem Cells, Signal Transduction, Cellular Senescence, Caloric Restriction, TOR Serine-Threonine Kinases

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review