NPD1 stimulates the synthesis of brain-derived neurotrophic factor (BDNF), nerve growth factor (NGF), and of semaphorin 7A (Sema7A). RvD6i treatment of injured corneas modulates gene expression in the TG resulting in enhanced neurogenesis; decreased neuropathic pain and increased sensitivity. Taken together, these results represent a promising therapeutic option to re-establish the homeostasis of the cornea.Linkage and association mapping populations are crucial public resources that facilitate the characterization of trait genetic architecture in natural and agricultural systems. We define a large nested association mapping panel (NAM) from 14 publicly available recombinant inbred line populations (RILs) of Arabidopsis thaliana, which share a common recurrent parent (Col-0). Using a genotype-by-sequencing approach (GBS), we identified single nucleotide polymorphisms (SNPs; range 563-1525 per population) and subsequently built updated linkage maps in each of the 14 RIL sets. Simulations in individual RIL populations indicate that our GBS markers have improved power to detect small effect QTL and enhanced resolution of QTL support intervals in comparison to original linkage maps. Using these robust linkage maps, we imputed a common set of publicly available parental SNPs into each RIL linkage map, generating overlapping markers across all populations. Though ultimately depending on allele frequencies at causal loci, simulations of the NAM panel suggest that surveying between 4 to 7 of the 14 RIL populations provides high resolution of the genetic architecture of complex traits, relative to a single mapping population.Most of the genomic studies in plants and animals have used additive models for studying genetic parameters and prediction accuracies. In this study, we used genomic models with additive and nonadditive effects to analyze the genetic architecture of growth and wood traits in an open-pollinated (OP) population of Eucalyptus pellita We used two progeny trials consisting of 5742 trees from 244 OP families to estimate genetic parameters and to test genomic prediction accuracies of three growth traits (diameter at breast height - DBH, total height - Ht and tree volume - Vol) and kraft pulp yield (KPY). From 5742 trees, 468 trees from 28 families were genotyped with 2023 pre-selected markers from candidate genes. We used the pedigree-based additive best linear unbiased prediction (ABLUP) model and two marker-based models (single-step genomic BLUP - ssGBLUP and genomic BLUP - GBLUP) to estimate the genetic parameters and compare the prediction accuracies. Analyses with the two genomic models revealed large dominant ween markers and the quantitative trait loci (QTL) it may be important to use informative markers from candidate genes.
To explore whether at-admission hyperglycemia is associated with worse outcomes in patients hospitalized for coronavirus disease 2019 (COVID-19).
Hospitalized COVID-19 patients (
= 271) were subdivided based on at-admission glycemic status
) glucose levels <7.78 mmol/L (NG) (
= 149 [55.0%]; median glucose 5.99 mmol/L [range 5.38-6.72]),
) known diabetes mellitus (DM) (
= 56 [20.7%]; 9.18 mmol/L [7.67-12.71]), and
) no diabetes and glucose levels ≥7.78 mmol/L (HG) (
= 66 [24.3%]; 8.57 mmol/L [8.18-10.47]).
Neutrophils were higher and lymphocytes and PaO
/FiO
lower in HG than in DM and NG patients. CADD522 mw DM and HG patients had higher D-dimer and worse inflammatory profile. Mortality was greater in HG (39.4% vs. 16.8%; unadjusted hazard ratio [HR] 2.20, 95% CI 1.27-3.81,
= 0.005) than in NG (16.8%) and marginally so in DM (28.6%; 1.73, 0.92-3.25,
= 0.086) patients. Upon multiple adjustments, only HG remained an independent predictor (HR 1.80, 95% CI 1.03-3.15,
= 0.04). After stratification by quintile of glucose levels, mortality was higher in quintile 4 (Q4) (3.57, 1.46-8.76,
= 0.005) and marginally in Q5 (29.6%) (2.32, 0.91-5.96,
= 0.079) vs. Q1.
Hyperglycemia is an independent factor associated with severe prognosis in people hospitalized for COVID-19.
Hyperglycemia is an independent factor associated with severe prognosis in people hospitalized for COVID-19.
Coffee may protect against multiple chronic diseases, particularly type 2 diabetes, but the mechanisms remain unclear.
Leveraging dietary and metabolomic data in two large cohorts of women (the Nurses' Health Study [NHS] and NHSII), we identified and validated plasma metabolites associated with coffee intake in 1,595 women. We then evaluated the prospective association of coffee-related metabolites with diabetes risk and the added predictivity of these metabolites for diabetes in two nested case-control studies (
= 457 case and 1,371 control subjects).
Of 461 metabolites, 34 were identified and validated to be associated with total coffee intake, including 13 positive associations (primarily trigonelline, polyphenol metabolites, and caffeine metabolites) and 21 inverse associations (primarily triacylglycerols [TAGs] and diacylglycerols [DAGs]). These associations were generally consistent for caffeinated and decaffeinated coffee, except for caffeine and its metabolites that were only associated with cer validation studies are needed.
In chronic kidney disease, glycated albumin and fructosamine have been postulated to be better biomarkers of glycemic control than HbA
. We evaluated the accuracy, variability, and covariate bias of three biomarkers (HbA
, glycated albumin, and fructosamine) compared with continuous glucose monitoring (CGM)-derived measurement of glycemia across estimated glomerular filtration rate (eGFR) in type 2 diabetes.
A prospective cohort study was conducted of 104 participants with type 2 diabetes, 80 with eGFR <60 mL/min/1.73 m
(not treated with dialysis) and 24 frequency-matched control subjects with eGFR ≥60 mL/min/1.73 m
. Participants wore a blinded CGM for two 6-day periods separated by 2 weeks, with blood and urine collected at the end of each CGM period. HbA
, glycated albumin, and fructosamine were measured by high-performance liquid chromatographic, enzymatic, and colorimetric nitroblue tetrazolium methods, respectively.
Within-person biomarker values were strongly correlated between the two CGM periods (
= 0.CADD522 mw
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