Evidence map›Paper›PMID 41863707›Full record

ArticleGeroScience2026

Biological evidence of the life expectancy limit in human aging.

Yasuhiro Kitazoe, Hiroshi Toki

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Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Yasuhiro KitazoeCenter of Medical Information Science, Kochi University, Nankoku, Kochi, 783-8505, Japan. kitazoey@kochi-u.ac.jp.
Hiroshi TokiResearch Center for Nuclear Physics, Osaka University, Ibaraki, Osaka, 567-0047, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Life expectancy (LE) at birth has increased in many countries throughout the twentieth and twenty-first centuries. Future LE values are estimated by extrapolating existing data. However, it remains difficult to determine the LE limit using mathematical models such as the Kannisto model and the Gompertz function due to significant random fluctuations in centenarian mortality rates. There are 12 biological hallmarks of ageing, including epigenetic changes and senescent cells. These microscopic dysfunctions and cellular energy are deeply intertwined, based on the inevitable cellular energy deficiency experienced by the elderly. We recently derived an age-dependence of standard cellular energy for people of healthy body shape. The logistic function taking into account standard cellular energy and also a lifespan Tc strictly reproduced the robust age-specific mortality data for ages under 100 years in many countries, by adjusting two parameters Tc and C. We applied the logistic function to the recent Japanese data with the world's longest LE of 87.5 years and the highest natural death rates in centenarians. Consequently, the logistic function explicitly detected the maximum Tc value of 105, even though the C value continuously increased. By setting Tc to 105 and only increasing the C value, we obtained an achievable upper limit of LE = 98. Then, the survival rate trajectory became rectangular due to the biological effect of cellular energy depletion. The LE values of many countries are expected to reach the Japanese LE of 87.5. Standard cellular energy and Tc in the logistic function were essential to detect the LE limit in the Japanese data.

Indexed as

Aging theoryCellular energyLife expectancy limitMitochondrial density

Identifiers

PMID41863707

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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.