Exploring optical descriptors for rapid estimation of coastal sediment organic carbon and nearby land-use classifications via machine learning models.

This study utilizes ultraviolet and fluorescence spectroscopic indices of dissolved organic matter (DOM) from sediments, combined with machine learning (ML) models, to develop an optimized predictive model for estimating sediment total organic carbon (TOC) and identifying adjacent land-use types in coastal sediments from the Yellow and Bohai Seas. Our results indicate that ML models surpass traditional regression techniques in estimating TOC and classifying land-use types. Penalized Least Squares Regression (PLR) and Cubist models show exceptional TOC estimation capabilities, with PLR exhibiting the lowest training error and Cubist achieving a correlation coefficient 0.79. In land-use classification, Support Vector Machines achieved 85.6 % accuracy in training and 92.2 % in testing. Maximum fluorescence intensity and ultraviolet absorbance at 254 nm were crucial factors influencing TOC variations in coastal sediments. This study underscores the efficacy of ML models utilizing DOM optical indices for near real-time estimation of marine sediment TOC and land-use classification.

Increased expression of FGF1-mediated signaling molecules in adipose tissue of obese mice.

Fibroblast growth factors (FGFs) are pleiotropic growth factors that control cell proliferation, migration, and differentiation. Herein, we evaluated whether visceral adiposity of mice is accompanied by the alteration of signaling molecules mediated by fibroblast growth factor receptor 1 (FGFR1) induced by using two different male C57BL/6J mice models of obesity namely high-fat diet (HFD)-induced obesity for 12 weeks or mice with genetic deletion of leptin (ob/ob). Both HFD-fed and ob/ob mice exhibited significantly higher messenger RNA (mRNA) levels of FGF1, cyclin D (cycD), transcription factor E2F1, peroxisome proliferator-activated receptor-gamma 2 (PPAR-γ2), CCAAT-enhancer-binding protein alpha (C/EBPα), and adipocyte protein 2 (aP2) genes in their epididymal adipose tissues compared to those of the normal diet (ND)-fed and lean control mice, respectively. In addition, immunoblot analyses of the epididymal adipose tissues revealed that both mice exposed to HFD and ob/ob mice exhibited elevated phosphorylation of FGFR1, extracellular-signal-regulated kinase (ERK), and retinoblastoma (Rb) proteins. These data support the notion that FGF1-mediated signaling represents an important signaling cascade related to adipogenesis, at least partially, among other known signaling pathways. These new findings regarding the molecular mechanisms controlling adipose tissue plasticity provide a novel insight about the functional network with potential therapeutic application against obesity.