In vivo mapping of amyloid toxicity in Alzheimer disease

OBJECTIVE

To study the relationship between gray matter atrophy and amyloid deposition in Alzheimer disease (AD).

METHODS

Volumetric magnetic resonance (MR) and [11C]-PIB PET were acquired from 23 patients with AD and 17 healthy older persons. Standardized [11C]-PIB uptake values were coregistered to MR scans in a standard space. Decreased density of and increased [11C]-PIB uptake in the gray matter of patients with AD vs controls were assessed with both voxel-based (p < 0.05 corrected) and region-of-interest (ROI) analyses. The relationship between decreased density of and increased [11C]-PIB uptake in the gray matter was investigated with voxel-based Pearson r maps (thresholded at p < 0.05) and ROI linear regression plots.

RESULTS

Atrophy mapped to the hippocampus and increased [11C]-PIB uptake to large frontal, parietal, and posterior cingulate cortical areas. ROI analysis showed the largest effect size for atrophy in the hippocampus (2.01) and amygdala (1.27) and the highest effect size for [11C]-PIB uptake in frontal (2.66), posterior cingulate/retrosplenial (2.43), insular (2.41), and temporal (2.23) regions. In the hippocampus, [11C]-PIB uptake was significantly increased, but effect size was milder (1.72). Significant correlations between atrophy and increased [11C]-PIB uptake were found in the hippocampal (r = -0.54) and amygdalar ROIs (r = -0.40) but not in the frontal, temporal, posterior cingulate/retrosplenial, insular, and caudate ROIs (r between 0.04 and 0.25).

CONCLUSION

The medial temporal lobe might be highly susceptible to amyloid toxicity, whereas neocortical areas might be more resilient.

Relationships among functional markers, management, and husbandry in sheep: a Mediterranean case study

Most sheep farmers are aware of the importance of monitoring animal health and well-being for profitable sheep production. Unfortunately, there are only a few benchmarked functional measures of sheep well-being but much can be gained from our understanding of other species. Moreover, comprehensive monitoring programs may be complex and relatively expensive to implement. Hence, this work reports the results of a research study on the usefulness of functional markers in measuring dairy sheep well-being, taking into account farm management and environmental conditions. The study was conducted on 11 farms breeding Italian islander sheep breeds. The husbandry and management parameters of each farm were assessed and, based on the findings, the farms were scored in ascending quality order. Flock information concerned housing, milking system, pen size, grazing hours, health management, and stockmanship. Medical history, clinical data, the most relevant haematological, chemical and biochemical parameters, as well as the haemoglobin genotype were recorded for 415 individuals. The whole data-set was analyzed by Spearman correlation and multivariate statistical procedures, showing that albumin, serum alkaline phosphatase, haematocrit, and haemoglobin were the most significant functional markers of a flock's general conditions. Haematocrit and haemoglobin reflect animal health status, while albumin and serum alkaline phosphatase are a measure of nutritional status and physical activity, respectively. These are objective parameters, which can be easily measured from blood samples and have proved to be effective for grouping to interpret animal well-being.

Functional compensation in incipient Alzheimer's disease

Aim of this study was to investigate the functional compensation mechanism in incipient Alzheimer's disease (AD). Seventeen elderly healthy subjects and nine amnestic MCI patients with incipient AD underwent brain MR scan and 99mTc ECD SPECT. We processed all images with SPM2, we created t maps, showing the wholebrain GM atrophy and functional changes, and we properly masked them with each other in order to assess relatively preserved perfusion or depression. Incipient AD showed GM atrophy in the medial temporal and temporoparietal lobes, in the insula and in the retrosplenial cortex, and GM hypoperfusion in the medial temporal and temporoparietal lobes. Relatively preserved perfusion, we could hypothesize to be compensatory in the setting of neuronal loss, was found in the posterior cingulate, in the head of the hippocampus, in the amigdala, and in the insula bilaterally, while functional depression occurred in bilateral parahippocampal gyri. In AD, a perfusional compensatory mechanism takes place in the neocortex, while perfusional depression occurs in the medial temporal lobe. These results help understand the reactive phenomena induced by the brain to try and counteract the pathological changes of AD.

MRI-based automated computer classification of probable AD versus normal controls

Automated computer classification (ACC) techniques are needed to facilitate physician's diagnosis of complex diseases in individual patients. We provide an example of ACC using computational techniques within the context of cross-sectional analysis of magnetic resonance images (MRI) in neurodegenerative diseases, namely Alzheimer's dementia (AD). In this paper, the accuracy of our ACC methodology is assessed when presented with real life, imperfect data, i.e., cohorts of MRI with varying acquisition parameters and imaging quality. The comparative methodology uses the Jacobian determinants derived from dense deformation fields and scaled grey-level intensity from a selected volume of interest centered on the medial temporal lobe. The ACC performance is assessed in a series of leave-one-out experiments aimed at separating 75 probable AD and 75 age-matched normal controls. The resulting accuracy is 92% using a support vector machine classifier based on least squares optimization. Finally, it is shown in the Appendix that determinants and scaled grey-level intensity are appreciably more robust to varying parameters in validation studies using simulated data, when compared to raw intensities or grey/white matter volumes. The ability of cross-sectional MRI at detecting probable AD with high accuracy could have profound implications in the management of suspected AD candidates.

Neuroimaging outcomes for clinical trials

A wide range of drugs is currently under development for treating Alzheimer's Disease (AD). Clinical trials traditionally use rating scales, such as neuropsychological tests and disability scales, as outcome measures. However, their intrinsic measurement variability, the slow disease progression, and the low effectiveness of the drugs developed so far have led to trial designs with hundreds of subjects per treatment arm. Furthermore, a key issue is to establish what effect are these compounds having on the biological progression of the disease, beyond delaying symptomatic progression. The development of imaging markers, either structural, functional, or amyloid, with proven sensitivity to disease progression has recently paved the way for their use as outcome measures in clinical trials. The use of imaging measures has the double advantage of decreasing the number of subjects per treatment arm whilst also providing a direct measure of the degree of disease modification induced by the "active" molecules. The reviewed techniques, except for the most recent amyloid imaging, are those applied to prospective studies investigating changes of imaging markers over time.

Characterization of the Casein Gene Complex in West African Goats and Description of a New αs1-Casein Polymorphism

The analysis of casein polymorphisms was carried out in West Africa goat populations: Red Sokoto (n = 57), West African Dwarf Nigeria (n = 27), West African Dwarf Cameroon (n = 39), and Borno (n = 37). The 4 casein genes alpha(s1) (CSN1S1), beta (CSN2), alpha(s2) (CSN1S2), and kappa (CSN3) were typed at the DNA level. No null alleles were found in any of the genes analyzed. A PCR single-strand conformation polymorphism method was implemented for the identification of CSN1S1*F allele simultaneously with A/0(1), B/E, N and the new allele. The allele differed from CSN1S1*B by a synonymous transversion TCG-->TCT in the codon corresponding to Ser(66) of the mature protein. The new allele, named CSN1S1*B', occurred at a high frequency in all the populations, ranging from 0.295 (West African Dwarf Cameroon) to 0.405 (Borno). A greater frequency was found for alleles associated with high alpha(s1)-casein quantity, as has already been observed in the goat populations from the Mediterranean area. The intermediate E allele occurred only in the Red Sokoto and at a low frequency. The faint F allele occurred in 3 populations at frequencies lower than 0.03. Linkage disequilibrium occurred in all the populations, with highly significant differences in Borno, Red Sokoto, and West Africa Dwarf Nigeria, and significant differences in West Africa Dwarf Cameroon. Only 10 haplotypes showed frequencies > or =0.05 in at least 1 of the 4 populations considered, and the overall frequency was >0.1 only for 4 haplotypes: BAAB, B'ACA, ACAB, and BACA (in the order CSN1S1-CSN2-CSN1S2-CSN3). Haplotype BAAB, postulated as an ancestral haplotype in previous studies, was the most common haplotype in all breeds except Borno, where B'ACA was predominant. The results obtained are of considerable significance given that very little information exists on the subject for African goats. The high frequency of strong alleles in the calcium-sensitive caseins as well as the high linkage disequilibrium found among the casein genes in the African breeds analyzed may suggest that specific casein haplotypes have already been selected due to their advantages for nutrition. Haplotypes providing greater protein and casein content would increase the energy content of milk, thus resulting in more favorable growth and survival of young goats and humans consuming the milk.

Effect of κ-Casein Polymorphism on Milk Composition in the Orobica Goat

The aim of this work was to study the effects of isoelectrofocusing (IEF) milk protein variants on milk composition in the Italian Orobica goat breed, which is characterized by a rather high frequency of the kappa-casein (CSN3) B(IEF) allele. Significant associations were found between the IEF phenotype and protein and casein percentages. A favorable effect of the CSN3 B(IEF) variant was found for both protein and casein percentages, with a codominance trend for the 3 phenotypes: BB > AB > AA. Depending on the selection purpose, emphasis could be given to different kappa-casein variants in breeding. The high frequency of B(IEF) could be exploited in breeding strategies to improve the protein and casein percentages when cheese making is a selection objective.

Development of a Single Nucleotide Polymorphism Genotyping Microarray Platform for the Identification of Bovine Milk Protein Genetic Polymorphisms

The objective of this study was to develop and validate a fast method for typing the main mutations of bovine milk protein genes by using microarray technology. An approach based on the ligation detection reaction (LDR) and a universal array (UA) was used. Polymorphisms in both the coding and noncoding sequences of alpha(S1)-casein, beta-casein, kappa-casein, and beta-lactoglobulin genes were considered because of their well-known effects on milk composition and cheese production. A total of 22 polymorphic sites, corresponding to 21 different variants, were included in the diagnostic microarray. First, a multiplex PCR was developed to amplify all the DNA target sequences simultaneously. Second, the LDR-UA assay was implemented. The method was validated by analyzing 100 Italian Friesian DNA samples, which were also genotyped by conventional methods both at the protein level by means of milk isoelectrofocusing and at the molecular level using PCR-RFLP and PCR-single strand conformation polymorphism techniques. The genotypes obtained using the LDR-UA approach were in full agreement with those obtained by the conventional analyses. An important result of the LDR-UA assay was a more accurate genotyping of the different milk protein alleles than was found with conventional typing methods. At the kappa-casein gene, in fact, 4 samples were heterozygous (3 reference samples and 1 validation sample) for an allele coding for Thr(136) and Ala(148). This variant, which can be considered as the wild type of the genus Bos, is not usually identifiable by the conventional typing methods used. The multiplex PCR-LDR-UA approach developed provides for an accurate, inexpensive, and high-throughput assay that does not exhibit false positive or false negative signals, thus making it highly suitable for animal genotyping.

Focusing on the Goat Casein Complex

The analysis of casein polymorphisms in goat species is rather difficult, because of a large number of mutations at each locus, and the tight linkage involving the 4 casein genes. Three goat breeds from Northern Italy, Orobica, Verzasca, and Frisa, were analyzed at the casein complex by milk isoelectrofocusing and analyses at the DNA level to identify the majority of all known polymorphisms. The casein gene structure of the 3 local breeds at alpha(S1)-casein (CSN1S1), beta-casein (CSN2), alpha(S2)-casein (CSN1S2), and kappa-casein (CSN3) was compared with that of Camosciata, a more widely distributed breed. A new allele was identified and characterized at CSN2 gene, which seemed to be specific to the Frisa breed. It was named CSN2*E, and was characterized by a transversion TCT --> TAT responsible for the amino acid exchange Ser(166) --> Tyr(166) in the mature protein. The casein haplotype structure is highly different among breeds. A total of 26 haplotypes showed a frequency higher than 0.01 in at least 1 of the 4 breeds considered, with 12, 3, 5, and 19 haplotypes in Frisa, Orobica, Verzasca, and Camosciata breeds, respectively. Only 13 haplotypes occurred at a frequency higher than 0.05 in at least 1 breed. With the molecular knowledge of each locus, the ancestral haplotype coding for CSN1S1*B, CSN2*A, CSN1S2*A, and CSN3*B protein variants can be postulated. A protein evolutionary model considering the whole casein haplotype is proposed.

Functional effect of haemoglobin polymorphism on the haematological pattern of Gentile di Puglia sheep

The relationship between haemoglobin polymorphism and haematological pattern were studied in Gentile di Puglia, the Apulia Merino native breed. In a sample of 292 individuals, on five different farms, alpha- and beta-globin genetic polymorphism was investigated. A remarkable polymorphism was detected especially at alpha-globin gene where the variations concerned both the quality of the gene product and gene expression. Triplicated and quadruplicated alpha-globin genes were observed in 8.6% and 1.2% of the alpha-haplotypes respectively. At beta-globin (HBB) locus, predominance of HBB(B) allele was found in all flocks, while HBB(A) overall frequency was around 11.2%. Moreover, the effect of genotypes at globin systems on haematological data was evaluated on 289 animals. A significant effect was detected for HBB locus on haematocrit (HCT) and mean corpuscular volume (MCV), with decreasing HCT and MCV for decreasing number of HBB(A) alleles in the genotype. The opposite trend was observed for mean corpuscular haemoglobin concentration. The advances presented by this paper give reasons for inferring that BB genotypes can be expected to be more resilient to climatic stress and to local parasites.

Short Communication: Predominance of β-Casein (CSN2) C Allele in Goat Breeds Reared in Italy

A protocol for the rapid and simultaneous genotyping of A, C, and 0 'CSN2 alleles in goat was developed by single strand conformational polymorphism polymerase chain reaction (SSCP-PCR) technique. Screening the CSN2 variability in 7 goat breeds reared in Italy validated the genotyping test. The SSCP-PCR technique was also suitable for monitoring CSN2 polymorphism. In particular, the discrimination between CSN2*A and CSN2*C is important because the 2 corresponding protein variants cannot be separated by standard typing techniques. The monitoring of CSN2 variability in the goat breeds indicates the predominance of the C allele. In most breeds, CSN2*C occurred with the highest frequency, except in Saanen where CSN2*A and CSN2*C showed similar frequencies. Variant CSN2*C occurred with a frequency of 0.68 (Camosciata), 0.70 (Jonica), 0.71 (Garganica), 0.82 (Maltese), 0.87 (Cilentana), and 0.97 (Orobica). The alignment among the mature CSN2 sequences of different species suggests that CSN2*A is the ancestral allele compared with CSN2*C. Interestingly, the CSN2*A goat variant showed higher frequencies in selected breeds (Saanen and Camosciata).

Effects of casein haplotypes on milk production traits in Italian Holstein and Brown Swiss cattle

The objective of this study was to estimate the effects of different haplotypes of the casein genes on milk production traits in Italian dairy cattle. Traits of interest were yields of milk, fat, and protein, and percentages of fat and protein in milk. The data included 728 multiparous records from 347 Holsteins and 773 records from 298 Brown Swiss cows. Records were preadjusted for effects of age and parity, season of calving, and region, and expressed as deviations from herdmate averages. Twenty half-sib families were represented in each breed. Haplotype probabilities were estimated for each animal and phenotypes were regressed on these probabilities. Nine haplotypes were observed in Holsteins and 17 were identified among the Brown Swiss. For Holsteins, significant effects were observed for protein percentage, with some indication of an effect for fat percentage. For the Brown Swiss, effects of haplotypes were significant for milk yield and fat and protein percentages. Effects were strongest for protein percentage. Correlation coefficients of solutions across breeds tended to be strong and positive, indicating that the same haplotypes had similar estimated effects in the 2 breeds. Although the data were limited (<350 cows in each study), this latter result may suggest that genes in the casein complex itself are responsible for the effects observed, rather than loci that are physically linked on either side of the casein cluster.

Caprine κ-Casein (CSN3) Polymorphism: New Developments in Molecular Knowledge

A high degree of polymorphism was recently found at the kappa-casein (CSN3) locus in the domesticated goat (Capra hircus). In the present study, 2 new patterns previously identified by PCR-single-strand conformation polymorphism analysis (SSCP) were characterized. The allele provisionally named "X" (GenBank Accession no. AY350425) differs from CSN3*C (AF485341) by a (silent) A-->G substitution at position 509 of the goat CSN3 reference sequence (X60763). As this newly identified sequence changes the amino acid sequence, and the already known CSN3*C allele (AF485341) has an additional silent mutation, we proposed a change in nomenclature to reflect these changes, indicating the silent mutation with the prime symbol (i.e.,'). The CSN3*M allele (provisionally named "Y") results in a new protein variant, differing by 2 nonsynonymous mutations from the CSN3*F allele. The new variant is characterized by a G-->A transition at nucleotide position 384, resulting in the amino acid exchange Asp90-->Asn90, and a C-->T transition at position 550, resulting in a Val145-->Ala145 substitution. Thus, the number of alleles identified in the domesticated goat has increased to 16, of which 13 are protein variants and 3 are silent mutations, involving a total of 15 polymorphic sites in CSN3 exon 4. Data on the distribution of the main alleles in 7 goat breeds of Europe, West Africa, and the Near East show differences in the occurrence and frequency of the alleles between breeds and geographic origin with the highest number of alleles found in goat breeds from the Near East.

Casein Haplotype Structure in Five Italian Goat Breeds

The aim of this work was to investigate the genetic structure of the casein gene cluster in 5 Italian goat breeds and to evaluate the haplotype variability within and among populations. A total of 430 goats from Vallesana, Roccaverano, Jonica, Garganica, and Maltese breeds were genotyped at alphas1-casein (CSN1S1), alphas2-casein, (CSN1S2), beta-casein (CSN2), and kappa-casein (CSN3) loci using several genomic techniques and milk protein analysis. Casein haplotype frequencies were estimated for each breed. Principal component analysis was carried out to highlight the relationship among breeds. Allele and haplotype distributions indicated considerable differences among breeds. The haplotype CSN1S1*F- CSN1S2*F-CSN3*D occurred in all breeds with frequencies >0.100 and was the most common haplotype in the Southern breeds. A high frequency of CSN1S1*0-CSN1S2*C-CSN3*A haplotype was found in Vallesana population (0.162). Principal component analysis clearly separated the Northern and Southern breeds by the first component. The variability of the caprine casein loci and variety of resulting haplotypes should be exploited in the future using specific breeding programs aiming to preserve biodiversity and to select goat genetic lines for specific protein production.

Predicting clinical variable from MRI features: application to MMSE in MCI

The ability to predict a clinical variable from automated analysis of single, cross-sectional T1-weighted (T1w) MR scans stands to improve the management of patients with neurological diseases. We present a methodology for predicting yearly Mini-Mental Score Examination (MMSE) changes in Mild Cognitive Impairment (MCI) patients. We begin by generating a non-pathological, multidimensional reference space from a group of 152 healthy volunteers by Principal Component Analyses of (i) T1w MR intensity of linearly registered Volumes of Interest (VOI); and (ii) trace of the deformation fields of nonlinearly registered VOIs. We use multiple regression to build linear models from eigenvectors where the projection eigencoordinates of patient data in the reference space are highly correlated with the clinical variable of interest. In our cohort of 47 MCI patients, composed of 16 decliners, 26 stable and 5 improvers (based on MMSE at 1 yr follow-up), there was a significant difference (P = 0.0003) for baseline MMSE scores between decliners and improvers, but no other differences based on age or sex. First, we classified our three groups using leave-one-out, forward stepwise linear discriminant analyses of the projection eigencoordinates with 100% accuracy. Next, we compared various linear models by computing F-statistics on the residuals of predicted vs actual values. The best model was based on 10 eigenvectors + baseline MMSE, with predicted yearly changes highly correlated (r = 0.6955) with actual data. Prospective study of an independent cohort of patients is the next logical step towards establishing this promising technique for clinical use.