Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA).
Our objective was to determine the efficacy and feasibility of a new approach for identifying candidate biomarkers for knee osteoarthritis (OA), based on selecting promising candidates from a range of high-frequency acoustic emission (AE) measurements generated during weight-bearing knee movement. C...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2019-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0223711 |
| _version_ | 1819124550292471808 |
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| author | Daniela K Schlüter Lucy Spain Wei Quan Harry Southworth Nicola Platt Joe Mercer Lik-Kwan Shark John C Waterton Mike Bowes Peter J Diggle Mandy Dixon Jane Huddleston John Goodacre |
| author_facet | Daniela K Schlüter Lucy Spain Wei Quan Harry Southworth Nicola Platt Joe Mercer Lik-Kwan Shark John C Waterton Mike Bowes Peter J Diggle Mandy Dixon Jane Huddleston John Goodacre |
| author_sort | Daniela K Schlüter |
| collection | DOAJ |
| description | Our objective was to determine the efficacy and feasibility of a new approach for identifying candidate biomarkers for knee osteoarthritis (OA), based on selecting promising candidates from a range of high-frequency acoustic emission (AE) measurements generated during weight-bearing knee movement. Candidate AE biomarkers identified by this approach could then be validated in larger studies for use in future clinical trials and stratified medicine applications for this common health condition. A population cohort of participants with knee pain and a Kellgren-Lawrence (KL) score between 1-4 were recruited from local NHS primary and secondary care sites. Focusing on participants' self-identified worse knee, and using our established movement protocol, sources of variation in AE measurement and associations of AE markers with other markers were explored. Using this approach we identified 4 initial candidate AE biomarkers, of which "number of hits" showed the best reproducibility, in terms of within-session, day to day, week to week, between-practitioner, and between-machine variation, at 2 different machine upper frequency settings. "Number of hits" was higher in knees with KL scores of 2 than in KL1, and also showed significant associations with pain in the contralateral knee, and with body weight. "Hits" occurred predominantly in 2 of 4 defined movement quadrants. The protocol was feasible and acceptable to all participants and professionals involved. This study demonstrates how AE measurement during simple sit-stand-sit movements can be used to generate novel candidate knee OA biomarkers. AE measurements probably reflect a composite of structural changes and joint loading factors. Refinement of the method and increasing understanding of factors contributing to AE will enable this approach to be used to generate further candidate biomarkers for validation and potential use in clinical trials. |
| first_indexed | 2024-12-22T07:26:01Z |
| format | Article |
| id | doaj.art-a026fa9c69a74c0eb837bf05ac7a23fc |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T07:26:01Z |
| publishDate | 2019-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-a026fa9c69a74c0eb837bf05ac7a23fc2022-12-21T18:34:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011410e022371110.1371/journal.pone.0223711Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA).Daniela K SchlüterLucy SpainWei QuanHarry SouthworthNicola PlattJoe MercerLik-Kwan SharkJohn C WatertonMike BowesPeter J DiggleMandy DixonJane HuddlestonJohn GoodacreOur objective was to determine the efficacy and feasibility of a new approach for identifying candidate biomarkers for knee osteoarthritis (OA), based on selecting promising candidates from a range of high-frequency acoustic emission (AE) measurements generated during weight-bearing knee movement. Candidate AE biomarkers identified by this approach could then be validated in larger studies for use in future clinical trials and stratified medicine applications for this common health condition. A population cohort of participants with knee pain and a Kellgren-Lawrence (KL) score between 1-4 were recruited from local NHS primary and secondary care sites. Focusing on participants' self-identified worse knee, and using our established movement protocol, sources of variation in AE measurement and associations of AE markers with other markers were explored. Using this approach we identified 4 initial candidate AE biomarkers, of which "number of hits" showed the best reproducibility, in terms of within-session, day to day, week to week, between-practitioner, and between-machine variation, at 2 different machine upper frequency settings. "Number of hits" was higher in knees with KL scores of 2 than in KL1, and also showed significant associations with pain in the contralateral knee, and with body weight. "Hits" occurred predominantly in 2 of 4 defined movement quadrants. The protocol was feasible and acceptable to all participants and professionals involved. This study demonstrates how AE measurement during simple sit-stand-sit movements can be used to generate novel candidate knee OA biomarkers. AE measurements probably reflect a composite of structural changes and joint loading factors. Refinement of the method and increasing understanding of factors contributing to AE will enable this approach to be used to generate further candidate biomarkers for validation and potential use in clinical trials.https://doi.org/10.1371/journal.pone.0223711 |
| spellingShingle | Daniela K Schlüter Lucy Spain Wei Quan Harry Southworth Nicola Platt Joe Mercer Lik-Kwan Shark John C Waterton Mike Bowes Peter J Diggle Mandy Dixon Jane Huddleston John Goodacre Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA). PLoS ONE |
| title | Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA). |
| title_full | Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA). |
| title_fullStr | Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA). |
| title_full_unstemmed | Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA). |
| title_short | Use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis (OA). |
| title_sort | use of acoustic emission to identify novel candidate biomarkers for knee osteoarthritis oa |
| url | https://doi.org/10.1371/journal.pone.0223711 |
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