Association between High HbA1c Levels and Mast Cell Phenotype in the Infrapatellar Fat Pad of Patients with Knee Osteoarthritis.
Ayumi TsukadaKen TakataJun AikawaDai IwaseManabu MukaiYui UekusaYukie MetokiGen InoueMasayuki MiyagiMasashi TakasoKentaro UchidaPublished in: International journal of molecular sciences (2024)
Diabetes mellitus (DM) has been suggested as a potential risk factor for knee osteoarthritis (KOA), and its underlying mechanisms remain unclear. The infrapatellar fat pad (IPFP) contributes to OA through inflammatory mediator secretion. Mast cells' (MCs) role in diabetic IPFP pathology is unclear. In 156 KOA patients, hemoglobin A1c (HbA1c) was stratified (HbA1c ≥ 6.5, n = 28; HbA1c < 6.5, n = 128). MC markers ( TPSB2 , CPA3 ) in IPFP were studied. Propensity-matched cohorts ( n = 27 each) addressed demographic differences. MC-rich fraction (MC-RF) and MC-poor fraction (MC-PF) were isolated, comparing MC markers and genes elevated in diabetic skin-derived MC ( PAXIP1 , ARG1 , HAS1 , IL3RA ). TPSB2 and CPA3 expression were significantly higher in HbA1c ≥ 6.5 vs. <6.5, both before and after matching. MC-RF showed higher TPSB2 and CPA3 expression than MC-PF in both groups. In the HbA1c ≥ 6.5 group, PAXIP1 and ARG1 expression were significantly higher in the MC-RF than MC-PF. However, no statistical difference in the evaluated genes was detected between the High and Normal groups in the MC-RF. Elevated TPSB2 and CPA3 levels in the IPFP of high HbA1c patients likely reflect higher numbers of MCs in the IPFP, though no difference was found in MC-specific markers on a cell-to-cell basis, as shown in the MC-RF comparison. These findings deepen our understanding of the intricate interplay between diabetes and KOA, guiding targeted therapeutic interventions.
Keyphrases
- knee osteoarthritis
- type diabetes
- poor prognosis
- end stage renal disease
- ejection fraction
- newly diagnosed
- rheumatoid arthritis
- chronic kidney disease
- physical activity
- single cell
- stem cells
- dna methylation
- metabolic syndrome
- prognostic factors
- transcription factor
- cell therapy
- systemic sclerosis
- insulin resistance
- patient reported outcomes
- long non coding rna
- weight loss
- climate change
- drug delivery
- risk assessment
- human health
- red blood cell
- disease activity
- fatty acid