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B Background: b Classical Hodgkin lymphoma (cHL), the most common lymphoma in young adults, is a disease of poorly understood heterogeneity. Patients with cHL frequently have significant amounts of circulating tumor DNA (ctDNA), suggesting an alternative approach for studying this enigmatic tumor. [Extracted from the article]

Intermuscular fat content in protected designations of origin dry-cured hams is a very important meat quality trait that affects the acceptability of the product by the consumers. An excess in intermuscular fat (defined as the level of fat deposition between leg muscles) is a defect that depreciates the final product. In this study we carried out a genome-wide association study for visible intermuscular fat ( VIF) of hams in the Italian Large White pig breed. This trait was evaluated on the exposed muscles of green legs in 1122 performance-tested gilts by trained personnel, according to a classification scale useful for routine and cheap evaluation. All animals were genotyped with the Illumina Porcine SNP60 BeadChip. The genome-wide association study identified three QTL regions on porcine chromosome 1 ( SSC1; accounting for ~79% of the SNPs below the 5.0E−04 threshold) and SSC2, two on SSC7 and one each on SSC3, SSC6, SSC9, SSC11, SSC13, SSC15, SSC16 and SSC17. The most significant SNP ( ALGA0004143 on SSC1 at 77.3 Mb; PFDR < 0.05), included in the largest QTL region which spanned about 6.8 Mb on SSC1, is located within the glutamate ionotropic receptor kainate type subunit 2 ( GRIK2) gene. Functional annotation of all genes included in QTL regions for VIF suggested that intermuscular fat in the Italian Large White breed is a complex trait apparently influenced by complex biological mechanisms also involving obesity-related processes. These QTL target mainly chromosome regions different from those affecting subcutaneous and intramuscular fat deposition. [ABSTRACT FROM AUTHOR]

Protected designation of origin dry-cured hams are the most important productions of the Italian heavy pig industry. Hams capable of minimal seasoning losses produce better quality dry-cured hams. Ham weight loss during the first 7 days in brine (first salting) is highly correlated with the total loss of weight up to the end of seasoning, and it has quite high heritability (0.30-0.61). For these reasons, ham weight loss at first salting has been included as a meat quality trait in the Italian heavy pig selection program. In this work, we carried out a genome-wide association study for this parameter in the Italian Large White pig breed by genotyping 1365 animals with the Illumina BeadChip Porcine SNP60 chip. A total of 44 single nucleotide polymorphisms ( SNPs) had a Pnominal value below 5.0E-04, five of which were below 5.0E-05 and one of them ( ALGA0057985 on chromosome 10) was associated with this trait at a PBonferroni threshold of 0.10. These SNPs identified a total of at least 29 putative QTLs that were located on most porcine autosomal chromosomes. This study provides genomic information that could be useful in dissecting this complex trait by identifying potential candidate genes whose function could contribute to understanding the biological mechanisms affecting meat quality for seasoning aptitude. [ABSTRACT FROM AUTHOR]

Calcium, magnesium and phosphorus are essential electrolytes involved in a large number of biological processes. Imbalance of these minerals in blood may indicate clinically relevant conditions and are important in inferring acute or chronic pathologies in humans and animals. In this work, we carried out a genome-wide association study ( GWAS) for the level of these three electrolytes in the serum of 843 performance-tested Italian Large White pigs. All pigs were genotyped with the Illumina Porcine SNP60 BeadChip, and GWAS was carried out using genome-wide efficient mixed-model association. For the level of Ca2+, eight single nucleotide polymorphisms ( SNPs) were significant, considering a false discovery rate ( FDR) < 0.05, and another eight were above the moderate association threshold ( Pnominal value < 5.00E-05). These SNPs are distributed in four porcine chromosomes ( SSC): SSC8, SSC11, SSC12 and SSC13. In particular, a few putative different signals of association detected on SSC13 and one on SSC12 were in genes or close to genes involved in calcium metabolism ( P2 RY1, RAP2B, SLC9A9, C3orf58, TSC22D2, PLCH1 and CACNB1). Only one SNP (on SSC7) and six SNPs (on SSC2 and SSC7) showed moderate association with the level of magnesium and phosphorus respectively. The association signals for these two latter minerals might identify genes not known thus far for playing a role in their biological functions and regulations. In conclusion, our GWAS contributed to increased knowledge on the role that calcium, magnesium and phosphorus may play in the genetically determined physiological mechanisms affecting the natural variability of mineral levels in mammalian blood. [ABSTRACT FROM AUTHOR]

In this study, we investigated at the genome-wide level if 20 years of artificial directional selection based on boar genetic evaluation obtained with a classical BLUP animal model shaped the genome of the Italian Large White pig breed. The most influential boars of this breed (n = 192), born from 1992 (the beginning of the selection program of this breed) to 2012, with an estimated breeding value reliability of >0.85, were genotyped with the Illumina Porcine SNP60 BeadChip. After grouping the boars in eight classes according to their year of birth, filtered single nucleotide polymorphisms (SNPs) were used to evaluate the effects of time on genotype frequency changes using multinomial logistic regression models. Of these markers, 493 had a PBonferroni < 0.10. However, there was an increasing number of SNPs with a decreasing level of allele frequency changes over time, representing a continuous profile across the genome. The largest proportion of the 493 SNPs was on porcine chromosome (SSC) 7, SSC2, SSC8 and SSC18 for a total of 204 haploblocks. Functional annotations of genomic regions, including the 493 shifted SNPs, reported a few Gene Ontology terms that might underly the biological processes that contributed to increase performances of the pigs over the 20 years of the selection program. The obtained results indicated that the genome of the Italian Large White pigs was shaped by a directional selection program derived by the application of methodologies assuming the infinitesimal model that captured a continuous trend of allele frequency changes in the boar population. [ABSTRACT FROM AUTHOR]

The genetic identification of the population of origin of individuals, including animals, has several practical applications in forensics, evolution, conservation genetics, breeding and authentication of animal products. Commercial high-density single nucleotide polymorphism ( SNP) genotyping tools that have been recently developed in many species provide information from a large number of polymorphic sites that can be used to identify population-/breed-informative markers. In this study, starting from Illumina BovineSNP50 v1 BeadChip array genotyping data available from 3711 cattle of four breeds (2091 Italian Holstein, 738 Italian Brown, 475 Italian Simmental and 407 Marchigiana), principal component analysis ( PCA) and random forests ( RFs) were combined to identify informative SNP panels useful for cattle breed identification. From a PCA preselected list of 580 SNPs, RFs were computed using ranking methods (Mean Decrease in the Gini Index and Mean Accuracy Decrease) to identify the most informative 48 and 96 SNPs for breed assignment. The out-of-bag ( OOB) error rate for both ranking methods and SNP densities ranged from 0.0 to 0.1% in the reference population. Application of this approach in a test population (10% of individuals pre-extracted from the whole data set) achieved 100% of correct assignment with both classifiers. Linkage disequilibrium between selected SNPs was relevant ( r2 > 0.6) only in few pairs of markers indicating that most of the selected SNPs captured different fractions of variance. Several informative SNPs were in genes/ QTL regions that affect or are associated with phenotypes or production traits that might differentiate the investigated breeds. The combination of PCA and RF to perform SNP selection and breed assignment can be easily implemented and is able to identify subsets of informative SNPs useful for population assignment starting from a large number of markers derived by high-throughput genotyping platforms. [ABSTRACT FROM AUTHOR]

In this study, we investigated whether a selection programme based on boar genetic evaluation obtained with a classical BLUP animal model can change allele frequencies in a pig population. All Italian Large White boars born from 1992 to 2012 with estimated breeding value reliability >0.85 (n = 200) were selected among all boars of this breed. Boars were genotyped with markers in major genes ( IGF2 intron3-g.3072 G> A, MC4R p. D298 N, VRTN PRE1 insertion, PRKAG3 p.I199 V and FTO g.276 T> G). Genotyping data were analysed grouping boars in eight classes according to their year of birth. To evaluate the influence of time on allele frequencies of the genotyped markers, multinomial logistic regression models were computed. Four of five polymorphic sites ( IGF2, MC4R, VRTN and FTO) showed significant (p < 0.01) changes in allele frequencies over time due to a progressive and continuous increase of one allele (associated with higher lean meat content, higher average daily gain and favourable feed: gain ratio) and, consequently, decrease of the other one, following the directional selection of the selection programme of this pig breed. The retrospective analysis that was carried out in Italian Large White boars suggests that selection based on methodologies assuming the infinitesimal model is able to modify in a quite short period of time allele frequencies in major genes, increasing the frequency of alleles explaining a relevant (non-infinitesimal) fraction of the overall genetic variability for production traits. [ABSTRACT FROM AUTHOR]

The aim of this study was to identify copy number variants ( CNVs) in Italian Large White pigs and test them for association with back fat thickness ( BFT). Within a population of 12 000 performance-tested pigs, two groups of animals with extreme and divergent BFT estimated breeding values ( EBVs; 147 with negative and 150 with positive EBVs) were genotyped with the Illumina Porcine SNP60 BeadChip. CNVs were detected with penncnv software. We identified a total of 4146 CNV events in 170 copy number variation regions ( CNVRs) located on 15 porcine autosomes. Validation of detected CNVRs was carried out (i) by comparing CNVRs already detected by other studies and (ii) by semiquantitative fluorescent multiplex ( SQFM) PCR of a few CNVRs. Most of CNVRs detected in Italian Large White pigs (71.2%) were already reported in other pig breeds/populations, and 82.1% of the CNV events detected by penncnv were confirmed by SQFM PCR. For each CNVR, we compared the occurrence of CNV events between the pigs of the high and low BFT EBV tails. Sixteen regions showed significance at P < 0.10, and seven were significant at P < 0.05 but were not significant after Bonferroni correction (Fisher's exact test). These results indicated that CNVs could explain a limited fraction of the genetic variability of fat deposition in Italian Large White pigs. However, it was interesting to note that one of these CNVRs encompassed the ZPLD1 gene. In humans, a rare CNV event including this gene is associated with obesity. Studies identifying CNVs in pigs could assist in elucidating the genetic mechanisms underlying human obesity. [ABSTRACT FROM AUTHOR]

We genotyped 58 single nucleotide polymorphisms ( SNPs) in 25 candidate genes in about 800 Italian Holstein sires. Fifty-six (minor allele frequency >0.02) were used to evaluate their association with single traits: milk yield ( MY), milk fat yield ( FY), milk protein yield ( PY), milk fat percentage ( FP), milk protein percentage ( PP), milk somatic cell count ( MSCC); and complex indexes: longevity, fertility and productivity-functionality type ( PFT), using deregressed proofs, after adjustment for familial relatedness. Thirty-two SNPs were significantly associated (proportion of false positives <0.05) with different traits: 16 with MSCC, 15 with PY, 14 with MY, 12 with PFT, eight with longevity, eight with FY, eight with PP, five with FP and two with fertility. In particular, a SNP in the promoter region of the PRLR gene was associated with eight of nine traits. DGAT1 polymorphisms were highly associated with FP and FY. Casein gene markers were associated with several traits, confirming the role of the casein gene cluster in affecting milk yield, milk quality and health traits. Other SNPs in genes located on chromosome 6 were associated with PY, PP, PFT, MY ( PPARGC1A) and MSCC ( KIT). This latter association may suggest a biological link between the degree of piebaldism in Holstein and immunological functions affecting somatic cell count and mastitis resistance. Other significant SNPs were in the ACACA, CRH, CXCR1, FASN, GH1, LEP, LGB (also known as PAEP), MFGE8, SRC, TG, THRSP and TPH1 genes. These results provide information that can complement QTL mapping and genome-wide association studies in Holstein. [ABSTRACT FROM AUTHOR]

A letter to the editor is presented regarding the effectiveness of carbon dioxide laser for treatment of oral verrucous carcinoma.

A letter to the editor is presented in response to the article on nephrogenic fibrosing dermopathy that was published in the previous issue.

Large genotyping datasets, obtained from high-density single nucleotide polymorphism (SNP) arrays, developed for different livestock species, can be used to describe and differentiate breeds or populations. To identify the most discriminating genetic markers among thousands of genotyped SNPs, a few statistical approaches have been proposed. In this study, we applied the Boruta algorithm, a wrapper of the machine learning random forest algorithm, on a database of 23 European pig breeds (20 autochthonous and three cosmopolitan breeds) genotyped with a 70k SNP chip, to pre-select informative SNPs. To identify different sets of SNPs, these pre-selected markers were then ranked with random forest based on their mean decrease accuracy and mean decrease gene indexes. We evaluated the efficiency of these subsets for breed classification and the usefulness of this approach to detect candidate genes affecting breed-specific phenotypes and relevant production traits that might differ among breeds. The lowest overall classification error (2.3%) was reached with a subpanel including only 398 SNPs (ranked based on their mean decrease accuracy), with no classification error in seven breeds using up to 49 SNPs. Several SNPs of these selected subpanels were in genomic regions in which previous studies had identified signatures of selection or genes associated with morphological or production traits that distinguish the analysed breeds. Therefore, even if these approaches have not been originally designed to identify signatures of selection, the obtained results showed that they could potentially be useful for this purpose., (© 2024 The Authors. Animal Genetics published by John Wiley & Sons Ltd on behalf of Stichting International Foundation for Animal Genetics.)

Catheter complications are a common problem during long-term insulin therapy with implanted pumps. The purpose of this study was to test the feasibility of imaging intraperitoneal catheters with technetium (Tc) 99m in implantable devices for insulin delivery. Testing physical stability of an insulin/Tc 99 mixture did not show formation of insulin aggregates during a period up to 48 h on a rotating wheel. Five hundred microCurie (equal to 18 MBq) of Tc 99m were injected in the flush port of a pump for intraperitoneal insulin delivery implanted in patients with type I (insulin dependent) diabetes mellitus, and gamma camera images were obtained for 30 min. In patent catheters the tracer rapidly imaged the whole length of the catheter while in occluded catheters the tracer remained in the flush port, imaging only the portion of the catheter before the occlusion. In patent catheters in which insulin absorption was impaired, the tracer rapidly imaged the whole length of the catheter, but its removal from the peritoneum was delayed. Tc 99m imaging of intraperitoneal catheters for insulin delivery can be used to assess catheter patency and impaired delivery into the peritoneal cavity.