Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues.

Aging is associated with functional and structural declines in many body systems, even in the absence of underlying disease. In particular, skeletal muscles experience severe declines during aging, a phenomenon termed sarcopenia. Despite the high incidence and severity of sarcopenia, little is known...

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Main Authors: Josiah Johnston, Wendy B Iser, David K Chow, Ilya G Goldberg, Catherine A Wolkow
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2008-07-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0002821&type=printable
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author Josiah Johnston
Wendy B Iser
David K Chow
Ilya G Goldberg
Catherine A Wolkow
author_facet Josiah Johnston
Wendy B Iser
David K Chow
Ilya G Goldberg
Catherine A Wolkow
author_sort Josiah Johnston
collection DOAJ
description Aging is associated with functional and structural declines in many body systems, even in the absence of underlying disease. In particular, skeletal muscles experience severe declines during aging, a phenomenon termed sarcopenia. Despite the high incidence and severity of sarcopenia, little is known about contributing factors and development. Many studies focus on functional aspects of aging-related tissue decline, while structural details remain understudied. Traditional approaches for quantifying structural changes have assessed individual markers at discrete intervals. Such approaches are inadequate for the complex changes associated with aging. An alternative is to consider changes in overall morphology rather than in specific markers. We have used this approach to quantitatively track tissue architecture during adulthood and aging in the C. elegans pharynx, the neuromuscular feeding organ. Using pattern recognition to analyze aged-grouped pharynx images, we identified discrete step-wise transitions between distinct morphologies. The morphology state transitions were maintained in mutants with pharynx neurotransmission defects, although the pace of the transitions was altered. Longitudinal measurements of pharynx function identified a predictive relationship between mid-life pharynx morphology and function at later ages. These studies demonstrate for the first time that adult tissues undergo distinct structural transitions reflecting postdevelopmental events. The processes that underlie these architectural changes may contribute to increased disease risk during aging, and may be targets for factors that alter the aging rate. This work further demonstrates that pattern analysis of an image series offers a novel and generally accessible approach for quantifying morphological changes and identifying structural biomarkers.
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spelling doaj-art-c2997bb4815d4f12b2d73bccbdbec99c2025-08-20T02:17:21ZengPublic Library of Science (PLoS)PLoS ONE1932-62032008-07-0137e282110.1371/journal.pone.0002821Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues.Josiah JohnstonWendy B IserDavid K ChowIlya G GoldbergCatherine A WolkowAging is associated with functional and structural declines in many body systems, even in the absence of underlying disease. In particular, skeletal muscles experience severe declines during aging, a phenomenon termed sarcopenia. Despite the high incidence and severity of sarcopenia, little is known about contributing factors and development. Many studies focus on functional aspects of aging-related tissue decline, while structural details remain understudied. Traditional approaches for quantifying structural changes have assessed individual markers at discrete intervals. Such approaches are inadequate for the complex changes associated with aging. An alternative is to consider changes in overall morphology rather than in specific markers. We have used this approach to quantitatively track tissue architecture during adulthood and aging in the C. elegans pharynx, the neuromuscular feeding organ. Using pattern recognition to analyze aged-grouped pharynx images, we identified discrete step-wise transitions between distinct morphologies. The morphology state transitions were maintained in mutants with pharynx neurotransmission defects, although the pace of the transitions was altered. Longitudinal measurements of pharynx function identified a predictive relationship between mid-life pharynx morphology and function at later ages. These studies demonstrate for the first time that adult tissues undergo distinct structural transitions reflecting postdevelopmental events. The processes that underlie these architectural changes may contribute to increased disease risk during aging, and may be targets for factors that alter the aging rate. This work further demonstrates that pattern analysis of an image series offers a novel and generally accessible approach for quantifying morphological changes and identifying structural biomarkers.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0002821&type=printable
spellingShingle Josiah Johnston
Wendy B Iser
David K Chow
Ilya G Goldberg
Catherine A Wolkow
Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues.
PLoS ONE
title Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues.
title_full Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues.
title_fullStr Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues.
title_full_unstemmed Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues.
title_short Quantitative image analysis reveals distinct structural transitions during aging in Caenorhabditis elegans tissues.
title_sort quantitative image analysis reveals distinct structural transitions during aging in caenorhabditis elegans tissues
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0002821&type=printable
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