Anti-CNR1 monoclonal antibody, clone FQS3335(O)(C)

Purpose Obesity and high-fat (HF) diet are associated with over activation of the endocannabinoid system (ECS). We have demonstrated that maternal HF diet induces early obesity and modulates cannabinoid signaling in visceral (VIS) and subcutaneous (SUB) white adipose tissue (WAT) in weanling rat offspring. We hypothesized that perinatal maternal HF diet would program the expression of ECS in adipose tissue in a long-term way in parallel to alterations in epigenetic markers and sex hormone signaling. Methods Progenitor female rats received control diet (C, 9% fat) or isocaloric high-fat diet (HF, 28% fat) for 8 weeks before mating, gestation, and lactation. All pups were weaned toCdiet and they were euthanized at 180 days old. Results Maternal HF diet induced overweight and increased SUB WAT mass of male and female adult offspring. Maternal HF diet induced hypertrophy of VIS and SUB adipocytes only in female offspring associated with increased type 1 cannabinoid receptor protein (CB1) and mRNA (Cnr1) levels. These changes were associated with increased estrogen receptor alpha binding toCnr1promoter in SUB WAT of adult female offspring, which may contribute to higher expression ofCnr1. Conclusion Increased CB1 signaling in adipose tissue might contribute to higher adiposity programmed by maternal HF diet because endocannabinoids stimulate the accumulation of fat in the adipose tissue. Our findings provide molecular insights into sex-specific targets for anti-obesity therapies based on the endocannabinoid system.

Improvement of the growth rate is a challenge in the pig industry, the Average Daily Gain (ADG) and Days (AGE) to 100 kg are directly related to growth performance. We performed genome-wide association study (GWAS) and genetic parameters estimation for ADG and AGE using the genomic and phonemic from four breed (Duroc, Yorkshire, Landrace, and Pietrain) populations. All analyses were performed by a multi-loci GWAS model, FarmCPU. The GWAS results of all four breeds indicate that five genome-wide significant SNPs were associated with ADG, and the nearby genomic regions explained 4.08% of the genetic variance and 1.90% of the phenotypic variance, respectively. For AGE, six genome-wide significant SNPs were detected, and the nearby genomic regions explained 8.09% of the genetic variance and 3.52% of phenotypic variance, respectively. In total, nine candidate genes were identified to be associated with growth and metabolism. Among them, TRIB3 was reported to associate with pig growth, GRP, TTR, CNR1, GLP1R, BRD2, HCRTR2, SEC11C, and ssc-mir-122 were reported to associate with growth traits in human and mouse. The newly detected candidate genes will advance the understanding of growth related traits and the identification of the novel variants will suggest a potential use in pig genomic breeding programs.