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02x - 2.68, and R2 of 1.0. The assay was linear to 87 U/dL. Precision was evaluated by testing hemolysates in 3 replicates/day for 10 days. Within-run imprecision was 1.9% and 2.5% and total imprecision was 4.0% and 5.6% at 14.0 and 8.1 U/g Hb, respectively. The limit of blank was 0.0, and the limit of detection was 1.0 U/dL. Stability was determined in 4 sample types at 3 different temperatures; the changes were all less then 10% when compared with t0. The current PK reference interval of 4.6 to 11.2 U/g Hb was verified. Conclusions This automated assay for quantifying PK in RBCs has acceptable performance characteristics and is fit for intended use.Background The analysis of serum free light chains (FLCs) is clinically relevant for the diagnosis and therapeutic management of clonal plasma cell disorders. This study compares the performance of monoclonal and polyclonal FLC κ and λ assays in clinical samples determined in a single academic center. Methods Serum FLCs were analyzed from 102 patients using the Freelite (Binding Site) and N Latex (Siemens) assays on the BN ProSpec System (Siemens). When available, data for protein electrophoresis, immunofixation, C-reactive protein, and estimated glomerular filtration rate (eGFR) were combined with FLC results to evaluate performance. Results Method evaluation showed acceptable imprecision and inaccuracy measures of less then 4.4% and 12.9%, respectively. Poor agreement between the methods was observed, including constant and proportional bias and poor correlation (Kendall τ, 0.671-0.901). The N Latex assay was not affected by the renal impairment estimated by eGFR, unlike the FLC κ/λ ratio results by the Freelite assay. With the Freelite assay, 98% of putative controls without monoclonal gammopathy (n = 42) showed a κ/λ ratio that was above the median of the standard diagnostic range or renal diagnostic range. A shift toward higher κ/λ ratios was also observed when retrospective data between 2011 and 2017 were compared. Conclusions Unlike the Freelite assay, κ/λ ratios analyzed with the N Latex assay were not affected by renal failure. Both methods showed acceptable performances using nephelometry, but they were poorly correlated. A shift toward κ/λ ratios might impair the specificity of borderline increased κ/λ results. This should be considered when interpreting FLC κ and λ results.Aims Magnetic resonance imaging (MRI) studies report widespread cortical thinning in individuals with alcohol use disorder (AUD), but did not consider potential effects of pro-atherogenic conditions such as hypertension, type 2 diabetes mellitus, hepatitis C seropositivity and hyperlipidemia on cortical thickness. The conditions are associated with regional cortical thinning in those without AUD. We predicted that individuals with concurrent AUD and pro-atherogenic conditions demonstrate the greatest regional cortical thinning in areas most vulnerable to decreased perfusion. Methods Treatment-seeking individuals with AUD (n = 126) and healthy controls (CON; n = 49) completed a 1.5 T MRI study. Regional cortical thickness was quantitated via FreeSurfer. Individuals with AUD and pro-atherogenic conditions (Atherogenic+), AUD without pro-atherogenic conditions (Atherogenic-) and CON were compared on regional cortical thickness. Results Individuals with AUD showed significant bilateral cortical thinning compared to CON, but Atherogenic+ demonstrated the most widespread and greatest magnitude of regional thinning, while Atherogenic- had reduced thickness primarily in anterior frontal and posterior parietal lobes. Atherogenic+ also showed a thinner cortex than Atherogenic- in lateral orbitofrontal and dorso/dorsolateral frontal cortex, mesial and lateral temporal and inferior parietal regions. Androgen Receptor signaling Antagonists Conclusions Our results demonstrate significant bilateral cortical thinning in individuals with AUD relative to CON, but the distribution and magnitude were influenced by comorbid pro-atherogenic conditions. The magnitude of cortical thinning in Atherogenic+ strongly corresponded to cortical watershed areas susceptible to decreased perfusion, which may result in morphometric abnormalities. The findings indicate that pro-atherogenic conditions may contribute to cortical thinning in those seeking treatment for AUD.Vegetative (juvenile-to-adult) and flowering (vegetative-to-reproductive) phase changes are crucial in the life cycle of higher plants. MicroRNA156 (miR156) and its target SQUAMOSA PROMOTER BINDING PROTEIN-LIKE (SPL) genes are master regulators that determine vegetative phase changes. The miR156 level gradually declines as a plant ages and its expression is rapidly repressed by sugar. However, the underlying regulatory mechanism of transcriptional regulation of the MIR156 gene remains largely unknown. In this study, we demonstrated that Arabidopsis NUCLEAR FACTOR Y A8 (NF-YA8) binds directly to CCAAT cis-elements in the promoters of multiple MIR156 genes, thus activating their transcription and inhibiting the juvenile-to-adult transition. NF-YA8 was highly expressed in juvenile-stage leaves, and significantly repressed with developmental age and by sugar signals. Our results suggest that NF-YA8 acts as a signaling hub, integrating internal developmental age and sugar signals to regulate the transcription of MIR156s, thus affecting the juvenile-to-adult and flowering transitions.BACKGROUND Vascular aging is characterized by increasing arterial stiffness as measured by pulse wave velocity. The present study evaluated the factors influencing vascular aging in Chinese healthy older subjects. MATERIAL AND METHODS Disease- and treatment-free aged (≥60 years) participants were recruited from 2014 to 2019. Cardiometabolic risk factors and brachial-ankle pulse wave velocity (baPWV) were assessed. We defined healthy vascular aging (HVA) as the lowest 10% and early vascular aging (EVA) as the highest 10% of the baPWV distribution, after adjustment for age and blood pressure (BP). We fitted linear and logistic regression models to assess the determinants. RESULTS In all, 794 subjects (mean age 66.5±6.8 years, 71.0% male) were recruited; the 10th and 90th percentiles of baPWV were 1278 cm/s and 1955 cm/s, respectively. Age, BP, heart rate, and triglycerides were all positively associated with baPWV, whereas male subjects and body mass index (BMI) were negatively associated with baPWV. The number of participants diagnosed with either HVA or EVA was 80.
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