Evidence map›Paper›PMID 40302420›Full record

ArticleJournal of the Royal Society, Interface2025

Hormesis and hydra effects revealed by intraspecific overcompensation models and dose-response curves.

Sanyi Tang, Xin Feng, Dingding Yan, Juhua Liang, Lili Liu, Yanni Xiao, Biao Tang, Robert Alexander Cheke

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Sanyi TangShanxi Key Laboratory for Mathematical Technology in Complex Systems, School of Mathematics and Statistics, Shanxi University, Taiyuan, Shanxi, People's Republic of China.ORCID 0000-0002-3324-746X
Xin FengSchool of Mathematics and Statistics, Shaanxi Normal University, Xi'an, People's Republic of China.
Dingding YanSchool of Mathematics and Statistics, Shaanxi Normal University, Xi'an, People's Republic of China.
Juhua LiangSchool of Mathematics and Statistics, Shaanxi Normal University, Xi'an, People's Republic of China.
Lili LiuShanxi Key Laboratory for Mathematical Technology in Complex Systems, Complex Systems Research Center, Shanxi University, Taiyuan, People's Republic of China.
Yanni XiaoSchool of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Biao TangCenter for Intersection of Mathematics and Life Sciences, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.ORCID 0000-0002-0418-5773
Robert Alexander ChekeNatural Resources Institute, University of Greenwich, London, UK.ORCID 0000-0002-7437-1934

Funding

National Natural Science Foundation of China
6 · The paper itself

Abstract

Overcompensation, defined as recovery beyond a baseline state, arises from both hormetic and hydra effects, illustrating adaptive responses to stress. The overcompensation framework of a re-evaluated fishery resource management model was examined through nonlinear growth patterns based on logistic or Ricker models, emphasizing population size over carrying capacity. This complete overcompensation model's threshold conditions reveal an interplay between hydra and hormetic effects. Also, when dividing a population into distinct subgroups, such as susceptible and infected classes in disease transmission, the population size can be modelled as a function of the basic reproduction number ([Formula: see text]). A threshold condition of [Formula: see text] allows examination of how disease infectivity triggers hydra or hormetic effects and, also, development of a partial overcompensation model that elucidates the internal mechanisms of overcompensation. Analysis of data from 24 groups of U-shaped or inverted U-shaped dose-response curves validated the dose-response curves. The simplified modelling approach developed revealed the mechanisms underlying hydra and hormetic effects, highlighting the importance of strong growth or regenerative capabilities, overcompensatory responses (strong nonlinearity), mild external stimuli (weak stressors) and the baseline population size. Our new analytical techniques for overcompensation modelling can be adapted to many fields, including tumour treatment and toxicology.

Indexed as

HormesisHydraModels, BiologicalAnimalsdose–response curvehormesishydramathematical modelovercompensation

Identifiers

PMID40302420
PMCPMC12041897

What OpenQuestion holds

Textmetadata
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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.