Non-destructive age estimation of biological fluid stains: An integrated analytical strategy based on near-infrared hyperspectral imaging and multivariate regression.

From a criminalistic point of view, the accurate dating of biological traces found at the crime scene, together with its compatibility with the estimated crime perpetration timeframe, enables to limit the number of suspects by assessing their alibis and clarifying the sequence of events. The present study delineates, for the first time, the possibility of dating biological fluids such as semen and urine, as well as blood traces, by using a novel non-destructive analytical strategy based on hyperspectral imaging in the near infared region (HSI-NIR), coupled with multivariate regression methods. Investigated aspects of the present study include not only the progressive degradation of the biological trace itself, but also the effects of its interactions with the support on which it is absorbed, in particular the hydrophilic vs. hydrophobic character of fabric tissues. Results are critically discussed, highlighting potential and limitations of the proposed approach for a practical implementation.

Identification of invisible biological traces in forensic evidences by hyperspectral NIR imaging combined with chemometrics.

The importance of detecting minute biological traces in forensic evidences feeds the continuous interest towards the development of new dedicated technologies both sensitive and reliable. The present study describes the opportunity to combine chemical properties derived from NIR signals with spatial features typical of RGB images by means of hyperspectral imaging (HSI). An analytical procedure based on HSI data collection and their multivariate processing followed by normalized difference images (NDI) is proposed as a screening method to highlight otherwise invisible traces of biological fluids on different supports in view of their collection for DNA analysis. The pattern features identified inside the NDI provided insight into the nature of the biological trace, on the basis of the wavelength at which the stain is highlighted and irrespective of the support on which the stain is deposited. In particular, the procedure allowed to detect and distinguish traces (i.e., 10 and 20 µL volumes) of dehydrated blood, urine, and semen on glass, paper, cotton, denim and polyblend fabric. Beside the simulated specimens used to develop and test the protocol, its robustness was demonstrated also on real and unknown validation samples, confirming its feasibility in some real case studies. An interesting evolution of the proposed strategy is to lay the scientific foundations for the development of a handheld device directly applicable in field.

Copan microFLOQ® Direct Swab collection of bloodstains, saliva, and semen on cotton cloth.

The microFLOQ® Direct Swab was tested by sampling diluted blood, semen, and saliva stains deposited on cotton cloth. DNA typing was performed using the PowerPlex® Fusion 6C System by direct PCR or a modified direct PCR. Direct PCR of swabs sampled the center of a stain, compared to their respective edge samplings, and had higher profile completeness and total relative fluorescent units (RFU) for all dilutions of blood and semen stains tested. The modified direct PCR used template DNA eluted from the swab head using the Casework Direct Kit, Custom and washes either contained 1-thioglycerol (TG) additive or no TG. Modified direct PCR had mixed results for blood, saliva, and semen stains, with semen stains showing significant differences in profile completeness (5% and 1%) and total RFU (neat, 5% and 1%) with the addition of TG to the Casework Direct Reagent. No significant difference was seen in any dilution of blood or saliva stains processed with the modified direct PCR, but profile completeness and total RFU were improved overall compared to stains swabbed with cotton swabs or 4N6FLOQSwabs™. This study supports the hypothesis that the microFLOQ® Direct Swab is able to collect minute amounts of DNA from cotton cloth and may be considered as an alternate pre-screening methodology in forensic biology casework.

A multivariate statistical approach for the estimation of the ethnic origin of unknown genetic profiles in forensic genetics.

DNA typing and genetic profile data interpretation are among the most relevant topics in forensic science; among other applications, genetic profile's capability to distinguish biogeographic information about population groups, subgroups and affiliations have been largely explored in the last decade. In fact, for investigative and intelligence purposes, it is extremely useful to identify subjects and estimate their biogeographic origins by examining the recovered DNA profiles from evidence on a crime scene. Current approaches for BiogeoGraphic Ancestry (BGA) estimation using STRs profiles are usually based on Bayesian methods, which quantify the evidence in terms of likelihood ratio, supporting or not the hypothesis that a certain profile belongs to a specific ethnic group. The present study provides an alternative approach to the likelihood ratio method that involves multivariate data analysis strategies for the estimation of multiple populations. Starting from the well-known NIST US autosomal STRs dataset involving African-American, Asian, and Caucasian individuals, and moving towards further and more geographically restricted populations (such as Northern Africans vs sub-Saharan Africans, Afghans vs Iraqis and Italians vs Romanians), powerful multivariate techniques such as Sparse and Logistic Principal Component Analysis (SL-PCA), Sparse Partial Least Squares-Discriminant Analysis (sPLS-DA) and Support Vector Machines (SVM) were employed and their discriminating power was also compared. Both sPLS-DA and SVM techniques provided robust classifications, yielding high sensitivity and specificity models capable of discriminating populations on ethnic basis. This application may represent a powerful and dynamic tool for law enforcement agencies whenever a standard autosomal STR profile is obtained from the biological evidence collected at a crime scene or recovered during mass-disaster and missing person investigations.

Correlation between pathological data and the RNA expression of p53 or p53-targeted genes in primary invasive ductal breast carcinomas: a preliminary study.

The protein expression of the growth suppressive p53 transcription factor and its inhibitor human double minute 2 (Hdm2) is altered in ductal breast carcinomas (DBC). However, the assessment of p53 and/or Hdm2 protein levels in DBC tissues was found to have a questionable prognostic significance. We evaluated the RNA expression of p53, hdm2, and the p53-targeted p21waf-1 and thrombospondin (tsp)-1 by primary DBC tissues, then correlated the RNA levels with patient clinicopathological data. The mean RNA expression level of p53 and that of hdm2 were elevated in large-sized, poorly differentiated, node-positive DBC, while a high p21waf-1 or tsp-1 mean expression level comprised small-sized, low-grade, node-negative tumors. Further analyses found that the correlation between the RNA expression of p53 and that of its targeted genes was reduced as tumor aggressiveness increased. However, for all the examined genes, association of the intensity of RNA expression with the pathological data was not statistically significant (p>0.05). Altogether, our preliminary RNA data confirm the results from previous protein studies, indicating that despite p53 expression and activity show a trend to vary in association with DBC clinical features, neither p53 nor its transcriptional targets can accurately monitor the behaviour of invasive DBC.

Fibroblast growth factor-2 transiently activates the p53 oncosuppressor protein in human primary vascular smooth muscle cells: implications for atherogenesis.

OBJECTIVE: The development of atherosclerotic lesions associates with the proliferation of vascular smooth muscle cells (VSMC), and their migration from arterial tunica media to the intima. Fibroblast growth factor (FGF)-2 can trigger either phenomena, which are accompanied by the functional impairment of the p53 transcription factor. However, FGF-2 impact on p53 function in VSMC is largely unknown. METHODS AND RESULTS: RT-PCR and Western blot analyses assayed FGF-2 effect on human primary VSMC expression of p53-induced molecules with a role in atherogenesis. Confocal microscopy evaluated whether FGF-2 could affect p53 distribution inside VSMC. Results indicate that VSMC exposure to FGF-2 at amounts stimulating the proliferation and migration of these cells promotes p53 phosphorylation and transient accumulation in VSMC nuclei. This is followed by an increase in the expression of the p53-induced thrombospondin (TSP)-1, a VSMC growth and motility factor, and human double minute 2 (HDM2), an antagonist of p53 transcriptional and growth suppressive activity. At later time points, in agreement with the increase of HDM2 and with the capability of this protein to export nuclear p53 to the cytoplasm, the content of p53 in VSMC nuclei is reduced, and the expression of the p53-targeted TSP-l and HDM2 is diminished. CONCLUSIONS: Since FGF-2, p53, TSP-1, and HDM2 are expressed in human atherosclerotic lesions, the in vitro effects of FGF-2 described herein may be operative in vivo, providing a molecular mechanism for FGF-2 pro-atherogenic activity.

Recommendations for animal DNA forensic and identity testing.

Genetic analysis in animals has been used for many applications, such as kinship analysis, for determining the sire of an offspring when a female has been exposed to multiple males, determining parentage when an animal switches offspring with another dam, extended lineage reconstruction, estimating inbreeding, identification in breed registries, and speciation. It now also is being used increasingly to characterize animal materials in forensic cases. As such, it is important to operate under a set of minimum guidelines that assures that all service providers have a template to follow for quality practices. None have been delineated for animal genetic identity testing. Based on the model for human DNA forensic analyses, a basic discussion of the issues and guidelines is provided for animal testing to include analytical practices, data evaluation, nomenclature, allele designation, statistics, validation, proficiency testing, lineage markers, casework files, and reporting. These should provide a basis for professional societies and/or working groups to establish more formalized recommendations.