Association of an ACSL1 gene variant with polyunsaturated fatty acids in bovine skeletal muscle

<p>Abstract</p> <p>Background</p> <p>The intramuscular fat deposition and the fatty acid profiles of beef affect meat quality. High proportions of unsaturated fatty acids are related to beef flavor and are beneficial for the nutritional value of meat. Moreover, a variety of clinical and epidemiologic studies showed that particularly long-chain omega-3 fatty acids from animal sources have a positive impact on human health and disease.</p> <p>Results</p> <p>To screen for genetic factors affecting fatty acid profiles in beef, we initially performed a microsatellite-based genome scan in a F₂Charolais × German Holstein resource population and identified a quantitative trait locus (QTL) for fatty acid composition in a region on bovine chromosome 27 where previously QTL affecting marbling score had been detected in beef cattle populations. The <it>long-chain acyl-CoA synthetase 1 (ACSL1) </it>gene was identified as the most plausible functional and positional candidate gene in the QTL interval due to its direct impact on fatty acid metabolism and its position in the QTL interval. ACSL1 is necessary for synthesis of long-chain acyl-CoA esters, fatty acid degradation and phospholipid remodeling. We validated the genomic annotation of the bovine <it>ACSL1 </it>gene by <it>in silico </it>comparative sequence analysis and experimental verification. Re-sequencing of the complete coding, exon-flanking intronic sequences, 3' untranslated region (3'UTR) and partial promoter region of the <it>ACSL1 </it>gene revealed three synonymous mutations in exons 6, 7, and 20, six noncoding intronic gene variants, six polymorphisms in the promoter region, and four variants in the 3' UTR region. The association analysis identified the gene variant in intron 5 of the <it>ACSL1 </it>gene (<it>c.481-233A>G</it>) to be significantly associated with the relative content of distinct fractions and ratios of fatty acids (e.g., n-3 fatty acids, polyunsaturated, n-3 long-chain polyunsaturated fatty acids, trans vaccenic acid) in skeletal muscle. A tentative association of the <it>ACSL1 </it>gene variant with intramuscular fat content indicated that an indirect effect on fatty acid composition via modulation of total fat content of skeletal muscle cannot be excluded.</p> <p>Conclusions</p> <p>The initial QTL analysis suggested the <it>ACSL1 </it>gene as a positional and functional candidate gene for fatty acid composition in bovine skeletal muscle. The findings of subsequent association analyses indicate that <it>ACSL1 </it>or a separate gene in close proximity might play a functional role in mediating the lipid composition of beef.</p

Serum Ascorbic Acid and Thiamine Concentrations in Sepsis: Secondary Analysis of the Swiss Pediatric Sepsis Study.

OBJECTIVES To determine circulating levels of ascorbic acid (VitC) and thiamine (VitB1) in neonates and children with blood culture-proven sepsis. DESIGN Nested single-center study of neonates and children prospectively included in the Swiss Pediatric Sepsis Study. SETTING One tertiary care academic hospital. PATIENTS Sixty-one neonates and children 0-16 years old. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS VitC and VitB1 were quantified in serum of patients (median age, 10.5 mo; interquartile range [IQR], 0.5-62.1 mo) with blood culture-proven sepsis. Median time between sepsis onset and sampling for measurement of vitamins was 3 days (IQR, 2-4 d). Median serum levels of VitC and VitB1 were 32.4 μmol/L (18.9-53.3 μmol/L) and 22.5 nmol/L (12.6-82 nmol/L); 36% of the patients (22/61) had low VitC and 10% (6/61) had VitC deficiency; and 72% (44/61) had low VitB1 and 13% (8/61) had VitB1 deficiency. Children with low VitC were older (p = 0.007) and had higher C-reactive protein (p = 0.004) compared with children with VitC within the normal range. Children with low VitB1 levels were older (p = 0.0009) and were less frequently receiving enteral or parenteral vitamin supplementation (p = 0.0000003) compared with children with normal VitB1 levels. CONCLUSIONS In this cohort of newborns and children with sepsis, low and deficient VitC and VitB1 levels were frequently observed. Age, systemic inflammation, and vitamin supplementation were associated with vitamin levels during sepsis

CCQM key comparison – organic solutions : CCQM-K47 volatile organic compounds in methanol. Final Report

At the October 2005 CCQM Organic Analysis Working Group Meeting (IRMM, Belgium), the decision was made to proceed with a Key Comparison study (CCQM-K47) addressing the calibration function for the determination of volatile organic compounds (VOCs) used for water quality monitoring. This was coordinated by CENAM and NIST. Benzene, o-xylene, m-xylene and p-xylene were chosen as representative VOCs. The solvent of choice was methanol. Key Comparison CCQM-K47 demonstrated the capabilities of participating NMIs to identify and measure the four target VOCs in a calibration solution using GC-based methods. The measurement challenges in CCQM-K47, such as avoiding volatility loss, achieving adequate chromatographic resolution and isolating potential interferences, are typical of those required for value-assigning volatile reference materials. Participants achieving comparable measurements for all four VOCs in this Key Comparison should be capable of providing reference materials and measurements for VOCs in solutions when present at concentration levels greater than 10 µg/g.Fil: Pérez Urquiza, Melina. Centro Nacional de Metrología (CENAM); MéxicoFil: Maldonado Torres, Mauricio. Centro Nacional de Metrología (CENAM); MéxicoFil: Mitani, Yoshito. Centro Nacional de Metrología (CENAM); MéxicoFil: Schantz, Michele M. National Institute of Standards and Technology (NIST); ArgentinaFil: Duewer, David L. National Institute of Standards and Technology (NIST); ArgentinaFil: May, Wille E. National Institute of Standards and Technology (NIST); ArgentinaFil: Parris, Reenie M. National Institute of Standards and Technology (NIST); ArgentinaFil: Wise, Stephen A. National Institute of Standards and Technology (NIST); ArgentinaFil: Kaminski, Katja. Federal Institute for Materials Research and Testing (BAM); AlemaniaFil: Philipp, Rosemarie. Federal Institute for Materials Research and Testing (BAM); AlemaniaFil: Win, Tin. Federal Institute for Materials Research and Testing (BAM); AlemaniaFil: Rosso, Adriana. Instituto Nacional de Tecnología Industrial (INTI); ArgentinaFil: Kim, Dal Ho. Korea Research Institute of Standards and Science (KRISS); Corea del SurFil: Ishikawa, Keiichiro. National Metrology Institute of Japan (NMIJ); JapónFil: Krylov, A. I. D. I. Mendeleev Institute for Metrology (VNIIM); RusiaFil: Kustikov, Y. A. D. I. Mendeleev Institute for Metrology (VNIIM); RusiaFil: Baldan, Annarita. Van Swinden Laboratorium (VS); Países Bajo

Evaluation der berufsbezogenen Deutschsprachförderung nach § 45a AufenthG: Abschlussbericht

Die berufsbezogene Deutschsprachförderung gemäß §45a des Aufenthaltsgesetzes ist seit 2016 ein Regelinstrument, dessen Ziel der Erwerb berufsbezogener deutscher Sprachkenntnisse durch Zugewanderte ist. Die Evaluation untersucht, ob die Ziele der berufsbezogenen Deutschsprachförderung erreicht werden, wie sich die berufsbezogene Deutschsprachförderung im Speziellen auf die Arbeitsmarktintegration der Teilnehmenden auswirkt, welche Zielgruppen besonders von ihr profitieren, welche Faktoren die Wirkungen der berufsbezogenen Deutschsprachförderung fördern oder hemmen und welche Empfehlungen sich aus den Ergebnisse der Untersuchung ableiten lassen.Since 2016, German language courses for professional purposes in accordance with §45a of the German Residence Act have been a regular instrument in German integration policy. The goal of these courses is the acquisition of job-related German language skills by immigrants. The evaluation examines whether the goals of job-related German language training are achieved, how job-related German language training affect the labour market integration of participants, which target groups particularly benefit from it, which factors promote or inhibit the effects of job-related German language training and which recommendations can be derived from the results of the study

CCQM-K55.b (Aldrin) : Final report: october 2012. CCQM-K55.b key comparison on the characterization of organic substances for chemical purity

Under the auspices of the Organic Analysis Working Group (OAWG) of the Comité Consultatif pour la Quantité de Matière (CCQM) a key comparison, CCQM K55.b, was coordinated by the Bureau International des Poids et Mesures (BIPM) in 2010/2011. Nineteen national measurement institutes and the BIPM participated. Participants were required to assign the mass fraction of aldrin present as the main component in the comparison sample for CCQM-K55.b which consisted of technical grade aldrin obtained from the National Measurement Institute Australia that had been subject to serial recrystallization and drying prior to sub-division into the units supplied for the comparison. Aldrin was selected to be representative of the performance of a laboratory's measurement capability for the purity assignment of organic compounds of medium structural complexity [molar mass range 300 Da to 500 Da] and low polarity (pKOW < −2) for which related structure impurities can be quantified by capillary gas phase chromatography (GC). The key comparison reference value (KCRV) for the aldrin content of the material was 950.8 mg/g with a combined standard uncertainty of 0.85 mg/g. The KCRV was assigned by combination of KCRVs assigned by consensus from participant results for each orthogonal impurity class. The relative expanded uncertainties reported by laboratories having results consistent with the KCRV ranged from 0.3% to 0.6% using a mass balance approach and 0.5% to 1% using a qNMR method. The major analytical challenge posed by the material proved to be the detection and quantification of a significant amount of oligomeric organic material within the sample and most participants relying on a mass balance approach displayed a positive bias relative to the KCRV (overestimation of aldrin content) in excess of 10 mg/g due to not having adequate procedures in place to detect and quantify the non-volatile content—specifically the non-volatile organics content—of the comparison sample. There was in general excellent agreement between participants in the identification and the quantification of the total and individual related structure impurities, water content and the residual solvent content of the sample. The comparison demonstrated the utility of 1H NMR as an independent method for quantitative analysis of high purity compounds. In discussion of the participant results it was noted that while several had access to qNMR estimates for the aldrin content that were inconsistent with their mass balance determination they decided to accept the mass balance result and assumed a hidden bias in their NMR data. By contrast, laboratories that placed greater confidence in their qNMR result were able to resolve the discrepancy through additional studies that provided evidence of the presence of non-volatile organic impurity at the requisite level to bring their mass balance and qNMR estimates into agreement.Fil: Westwood, Steven. Bureau International des Poids et Mesures (BIPM); FranciaFil: Josephs, Ralf. Bureau International des Poids et Mesures (BIPM); FranciaFil: Choteau, Tiphaine. Bureau International des Poids et Mesures (BIPM); FranciaFil: Daireaux, Adeline. Bureau International des Poids et Mesures (BIPM); FranciaFil: Mesquida, Charline. Bureau International des Poids et Mesures (BIPM); FranciaFil: Wielgosz, Robert. Bureau International des Poids et Mesures (BIPM); FranciaFil: Rosso, Adriana. Instituto Nacional de Tecnología Industrial (INTI); ArgentinaFil: Ruiz de Arechavaleta, Mariana. Instituto Nacional de Tecnología Industrial (INTI); ArgentinaFil: Davies, Stephen. National Measurement Institute (NMIA); AustraliaFil: Wang, Hongjie. National Measurement Institute (NMIA); AustraliaFil: Pires do Rego, Eliane Cristina. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Marques Rodrigues, Janaína. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: de Freitas Guimarães, Evelyn. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Barreto Sousa, Marcus Vinicius. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Monteiro, Tânia Maria. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Alves das Neves Valente, Laura. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Marques Violante, Fernando Gustavo. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Rubim, Renato. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Almeida, Ribeiro. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Baptista Quaresma, Maria Cristina. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Nogueira, Raquel. Instituto Nacional de Metrologia, Qualidade e Tecnologia (INMetro); BrasilFil: Windust, Anthony. Institute for National Measurement Standards. National Research Council Canada (NRC-INMS); CanadáFil: Dai, Xinhua. National Institute of Metrology (NIM); ChinaFil: Li, Xiaomin. National Institute of Metrology (NIM); ChinaFil: Zhang, Wei. National Institute of Metrology (NIM); ChinaFil: Li, Ming. National Institute of Metrology (NIM); ChinaFil: Shao, Mingwu. National Institute of Metrology (NIM); ChinaFil: Wei, Chao. National Institute of Metrology (NIM); ChinaFil: Wong, Siu-kay. Government Laboratory of Hong Kong SAR (GLHK); ChinaFil: Cabillic, Julie. Laboratoire National de Métrologie et d’Essais (LNE); FranciaFil: Gantois, Fanny. Laboratoire National de Métrologie et d’Essais (LNE); FranciaFil: Philipp, Rosemarie. Bundesanstalt für Materialforschung (BAM); AlemaniaFil: Pfeifer, Dietmar. Bundesanstalt für Materialforschung (BAM); AlemaniaFil: Hein, Sebastian. Bundesanstalt für Materialforschung (BAM); AlemaniaFil: Klyk-Seitz, Urszula-Anna. Bundesanstalt für Materialforschung (BAM); AlemaniaFil: Ishikawa, Keiichiro. National Metrology Institute of Japan (NMIJ); JapónFil: Castro, Esther. Centro Nacional de Metrología (CENAM); MéxicoFil: Gonzalez, Norma. Centro Nacional de Metrología (CENAM); MéxicoFil: Krylov, Anatoly. D. I. Mendeleev Institute for Metrology (VNIIM); RusiaFil: Lin, Teo Tang. Health Sciences Authority (HSA); SingapurFil: Kooi, Lee Tong. Health Sciences Authority (HSA); SingapurFil: Fernandes-Whaley, M. National Metrology Institute of South Africa (NMISA); SudáfricaFil: Prévoo, D. National Metrology Institute of South Africa (NMISA); SudáfricaFil: Archer, M. National Metrology Institute of South Africa (NMISA); SudáfricaFil: Visser, R. National Metrology Institute of South Africa (NMISA); SudáfricaFil: Nlhapo, N. National Metrology Institute of South Africa (NMISA); SudáfricaFil: de Vos, B. National Metrology Institute of South Africa (NMISA); SudáfricaFil: Ahn, Seonghee. Korea Research Institute of Standards and Science (KRISS); Corea del SurFil: Pookrod, Preeyaporn. National Institute of Metrology of Thailand (NIMT); TailandiaFil: Wiangnon, Kanjana. National Institute of Metrology of Thailand (NIMT); TailandiaFil: Sudsiri, Nittaya. National Institute of Metrology of Thailand (NIMT); TailandiaFil: Muaksang, Kittiya. National Institute of Metrology of Thailand (NIMT); TailandiaFil: Cherdchu, Chainarong. National Institute of Metrology of Thailand (NIMT); TailandiaFil: Gören, Ahmet Ceyhan. National Metrology Institute (TUBITAK UME); TurquíaFil: Bilsel, Mine. National Metrology Institute (TUBITAK UME); TurquíaFil: LeGoff, Thierry. LGC Limited; Reino UnidoFil: Bearden, Dan. National Institute of Standards and Technology (NIST); Estados UnidosFil: Bedner, Mary. National Institute of Standards and Technology (NIST); Estados UnidosFil: Duewer, David. National Institute of Standards and Technology (NIST); Estados UnidosFil: Hancock, Diane. National Institute of Standards and Technology (NIST); Estados UnidosFil: Lang, Brian. National Institute of Standards and Technology (NIST); Estados UnidosFil: Lippa, Katrice. National Institute of Standards and Technology (NIST); Estados UnidosFil: Schantz, Michele. National Institute of Standards and Technology (NIST); Estados UnidosFil: Sieber, John. National Institute of Standards and Technology (NIST); Estados Unido

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

Background Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. Methods We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5–19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI &lt;18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school&#x2;aged children and adolescents, we report thinness (BMI &lt;2 SD below the median of the WHO growth reference) and obesity (BMI &gt;2 SD above the median). Findings From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. Interpretation The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesit