Evidence map›Paper›PMID 41774793›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Functional significance of morphological variation in the mechanosensory lateral line system of fishes and its biomimetic potential.

Ishu Aggarwal, Jacqueline F Webb, Patrick R Onck, Ajay Giri Prakash Kottapalli

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Ishu AggarwalDepartment of Bioinspired Micro Electromechanical Systems and Biomedical Devices, Engineering and Technology Institute Groningen, University of Groningen, 9747 AG Groningen, The Netherlands.
Jacqueline F WebbDepartment of Biological Sciences, University of Rhode Island, Kingston, RI 02881.ORCID 0000-0002-5017-3618
Patrick R OnckMicromechanics Research Group, Zernike Institute for Advanced Materials, University of Groningen, 9747 AG Groningen, The Netherlands.ORCID 0000-0001-5632-9727
Ajay Giri Prakash KottapalliDepartment of Bioinspired Micro Electromechanical Systems and Biomedical Devices, Engineering and Technology Institute Groningen, University of Groningen, 9747 AG Groningen, The Netherlands.ORCID 0000-0002-3868-7069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanosensory lateral line system, found in all fishes, detects water movement and pressure fields and mediates crucial behaviors in aquatic environments. Neuromast sensory organs, the functional units of the system, exhibit diversity in shape and size among species, but structure-function relationships that could explain this impressive diversity have not been explored. Here, we employ a fluid-structure interaction-based computational model that uses the shape and size of the base of the cupula (the gelatinous cap covering the neuromast) as a proxy for neuromast shape and size. Simulations showed that sensitivity of the cupula (bending response to defined water flows) varies with its shape and size, direction of water flow relative to the major axis of the cupula, as well as with cupula height and material properties (elastic modulus). Sensitivity varied among cupulae with shapes known among superficial neuromasts and canal neuromasts within narrow and widened canals. In addition, predictions made by the model for the sorts of changes in neuromast morphology known to occur during ontogeny predict complex changes in neuromast sensitivity through developmental time. In using variation in cupula responses to flow as a proxy for neuromast responses, this work has revealed an unexplored aspect of adaptive functional evolution in the lateral line system with the potential to inspire the development of biomimetic sensors and robots with applications in industry, medicine, and environmental monitoring and exploration.

Indexed as

BiomimeticsFishesLateral Line SystemMechanoreceptorsAnimalsComputer SimulationMechanotransduction, CellularModels, Biologicalbiomimeticscupulafluid–structure interactionmechanosensory lateral line systemneuromast

Identifiers

PMID41774793
PMCPMC12974489

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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.