NLRP3 Deficiency in Nonimmune Cells Averts Obesity-Induced Fatty Liver Disease.

Obesity predisposes to metabolic dysfunction-associated fatty liver disease (MAFLD), cardiovascular disease, and type 2 diabetes. Accumulating evidence suggests a complex role of NLR family pyrin domain containing 3 (NLRP3) inflammasome function in multiple manifestations of the metabolic syndrome, with contradictory results. Its broad expression and pleiotropic functions during obesity led us to investigate the contribution of its expression in nonimmune versus immune cells to the development of obesity and MAFLD. Bone marrow chimerism was used to target NLRP3 deficiency to immune (ImmuneΔNlrp3) versus nonimmune (NonimmuneΔNlrp3) cells. Irradiated WT mice reconstituted with WT bone marrow served as controls. Mice were fed a 60% high-fat diet for 16 weeks. NonimmuneΔNlrp3 mice gained less weight and displayed reduced liver and epididymal white adipose tissue (epiWAT) mass. They also exhibited reduced adipocyte hypertrophy and increased epiWAT adipogenesis and lipolysis. Notable was the diminished hepatic steatosis in NonimmuneΔNlrp3 livers, which persisted even following equilibration of their body weight to that of the control. This was accompanied by a decline in liver triglycerides and in expression of transcriptional modules involved with lipid uptake, storage, and de novo lipogenesis. Thermogenic pathways in brown adipose tissue were comparable to control mice, but an elevation was observed in the genes encoding for lipid transporters and fatty acid oxidation. In contrast, deletion of NLRP3 in the immune cell compartment had limited effects on obesity and hepatic steatosis. Collectively, our results outline a prominent role for NLRP3 in nonimmune cells in facilitating MAFLD during constant energy surplus.

A predictive algorithm using clinical and laboratory parameters may assist in ruling out and in diagnosing MDS.

We present a noninvasive Web-based app to help exclude or diagnose myelodysplastic syndrome (MDS), a bone marrow (BM) disorder with cytopenias and leukemic risk, diagnosed by BM examination. A sample of 502 MDS patients from the European MDS (EUMDS) registry (n > 2600) was combined with 502 controls (all BM proven). Gradient-boosted models (GBMs) were used to predict/exclude MDS using demographic, clinical, and laboratory variables. Area under the receiver operating characteristic curve (AUC), sensitivity, and specificity were used to evaluate the models, and performance was validated using 100 times fivefold cross-validation. Model stability was assessed by repeating its fit using different randomly chosen groups of 502 EUMDS cases. AUC was 0.96 (95% confidence interval, 0.95-0.97). MDS is predicted/excluded accurately in 86% of patients with unexplained anemia. A GBM score (range, 0-1) of less than 0.68 (GBM < 0.68) resulted in a negative predictive value of 0.94, that is, MDS was excluded. GBM ≥ 0.82 provided a positive predictive value of 0.88, that is, MDS. The diagnosis of the remaining patients (0.68 ≤ GBM < 0.82) is indeterminate. The discriminating variables: age, sex, hemoglobin, white blood cells, platelets, mean corpuscular volume, neutrophils, monocytes, glucose, and creatinine. A Web-based app was developed; physicians could use it to exclude or predict MDS noninvasively in most patients without a BM examination. Future work will add peripheral blood cytogenetics/genetics, EUMDS-based prospective validation, and prognostication.