D-Lactate Increases Cytokine Production in Bovine Fibroblast-Like Synoviocytes via MCT1 Uptake and the MAPK, PI3K/Akt, and NFκB Pathways.
Carolina ManosalvaJohn QuirogaStefanie TeuberSebastián CárdenasMaría Daniella CarrettaGabriel Morán GPablo AlarconMaría Angélica HidalgoRafael Agustín BurgosPublished in: Animals : an open access journal from MDPI (2020)
Acute ruminal acidosis (ARA) is caused by the excessive intake of highly fermentable carbohydrates, followed by the massive production of D-lactate and the appearance of neutrophilic aseptic polysynovitis. Bovines with ARA develop different lesions, such as ruminitis, polioencephalomalacia (calves), liver abscess and lameness. Lameness in cattle with ARA is closely associated with the presence of laminitis and polysynovitis. However, despite decades of research in bovine lameness as consequence of ruminal acidosis, the aetiology and pathogenesis remain unclear. Fibroblast-like synoviocytes (FLSs) are components of synovial tissue, and under pathological conditions, FLSs increase cytokine production, aggravating inflammatory responses. We hypothesized that D-lactate could induce cytokine production in bovine FLSs. Analysis by qRT-PCR and ELISA revealed that D-lactate, but not L-lactate, increased the expression of IL-6 and IL-8 in a monocarboxylate transporter-1-dependent manner. In addition, we observed that the inhibition of the p38, ERK1/2, PI3K/Akt, and NF-κB pathways reduced the production of IL-8 and IL-6. In conclusion, our results suggest that D-lactate induces an inflammatory response; this study contributes to the literature by revealing a potential key role of D-lactate in the polysynovitis of cattle with ARA.
Keyphrases
- pi k akt
- signaling pathway
- cell proliferation
- cell cycle arrest
- inflammatory response
- systematic review
- lps induced
- oxidative stress
- intensive care unit
- single cell
- immune response
- risk assessment
- cell death
- physical activity
- extracorporeal membrane oxygenation
- drug induced
- mechanical ventilation
- weight loss
- wound healing
- data analysis