<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>55(6)</volume><submitter>Veenendaal L</submitter><pubmed_abstract>To unravel causes of disparities in osteoarthritis (OA) prevalence and to improve cell-based cartilage repair treatments, there is need to investigate the multifactorial impact of patient demographics on a biophysiological level. In this study, we systematically analyse single- and multi-demographic impact on &lt;i>in vitro&lt;/i> chondrogenic re-differentiation capacity of human articular chondrocytes (hACs), specifically of an Aotearoa-New Zealand (NZ) patient cohort which displays unique demographic diversity. HACs were isolated from 14 NZ donors with distinct demographics (ethnicity: indigenous Māori vs European descendant Pākehā; sex; age 18-24 vs 25-30 yrs). &lt;i>In vitro&lt;/i> chondrogenic re-differentiation capacity of donor chondrocytes was assessed through quantifications of cartilage matrix deposition (GAG, DNA, GAG/DNA) and by histological visualisation. Isolated chondrocytes ranged from low chondrogenic re-differentiation capacity, characterised by fibrocartilage tissue deposition, to high re-differentiation capacity to deposit GAG-rich tissue. Age-related reduction in GAG/DNA content was detected while no impact of ethnicity or sex was observed. Multi-demographic analysis revealed reduced GAG deposition in Māori male (compared to Māori female), and Māori (18-24 yrs) compared to Māori (25-30 yrs) and Pākehā (18-24 yrs) within our cohort. Multi-demographic analysis is a promising strategy to understand disparities in OA prevalence in patient cohorts and can help guide development of cell-based strategies for diverse patient populations.</pubmed_abstract><journal>Journal of the Royal Society of New Zealand</journal><pagination>1542-1562</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12315134</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Donor ethnicity, sex, and age impact chondrogenic re-differentiation capacity: a multi-demographic study of human articular chondrocytes &amp;lt;i&amp;gt;in vitro&amp;lt;/i&amp;gt;.</pubmed_title><pmcid>PMC12315134</pmcid><pubmed_authors>Lim KS</pubmed_authors><pubmed_authors>Veenendaal L</pubmed_authors><pubmed_authors>Liu VY</pubmed_authors><pubmed_authors>Lacey C</pubmed_authors><pubmed_authors>Hooper GJ</pubmed_authors><pubmed_authors>Lindberg GCJ</pubmed_authors><pubmed_authors>Woodfield TBF</pubmed_authors></additional><is_claimable>false</is_claimable><name>Donor ethnicity, sex, and age impact chondrogenic re-differentiation capacity: a multi-demographic study of human articular chondrocytes &amp;lt;i&amp;gt;in vitro&amp;lt;/i&amp;gt;.</name><description>To unravel causes of disparities in osteoarthritis (OA) prevalence and to improve cell-based cartilage repair treatments, there is need to investigate the multifactorial impact of patient demographics on a biophysiological level. In this study, we systematically analyse single- and multi-demographic impact on &lt;i>in vitro&lt;/i> chondrogenic re-differentiation capacity of human articular chondrocytes (hACs), specifically of an Aotearoa-New Zealand (NZ) patient cohort which displays unique demographic diversity. HACs were isolated from 14 NZ donors with distinct demographics (ethnicity: indigenous Māori vs European descendant Pākehā; sex; age 18-24 vs 25-30 yrs). &lt;i>In vitro&lt;/i> chondrogenic re-differentiation capacity of donor chondrocytes was assessed through quantifications of cartilage matrix deposition (GAG, DNA, GAG/DNA) and by histological visualisation. Isolated chondrocytes ranged from low chondrogenic re-differentiation capacity, characterised by fibrocartilage tissue deposition, to high re-differentiation capacity to deposit GAG-rich tissue. Age-related reduction in GAG/DNA content was detected while no impact of ethnicity or sex was observed. Multi-demographic analysis revealed reduced GAG deposition in Māori male (compared to Māori female), and Māori (18-24 yrs) compared to Māori (25-30 yrs) and Pākehā (18-24 yrs) within our cohort. Multi-demographic analysis is a promising strategy to understand disparities in OA prevalence in patient cohorts and can help guide development of cell-based strategies for diverse patient populations.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025</publication><modification>2026-03-27T15:58:57.746Z</modification><creation>2025-08-27T03:07:05.986Z</creation></dates><accession>S-EPMC12315134</accession><cross_references><pubmed>40756892</pubmed><doi>10.1080/03036758.2024.2340481</doi></cross_references></HashMap>