Mult-class differentiation of cannabis seedlings in a forensic context

This article presents an experimental study about the classification ability of several classifiers for multi-classclassification of cannabis seedlings. As the cultivation of drug type cannabis is forbidden in Switzerland lawenforcement authorities regularly ask forensic laboratories to determinate the chemotype of a seized cannabisplant and then to conclude if the plantation is legal or not. This classification is mainly performed when theplant is mature as required by the EU official protocol and then the classification of cannabis seedlings is a timeconsuming and costly procedure. A previous study made by the authors has investigated this problematic [1]and showed that it is possible to differentiate between drug type (illegal) and fibre type (legal) cannabis at anearly stage of growth using gas chromatography interfaced with mass spectrometry (GC-MS) based on therelative proportions of eight major leaf compounds. The aims of the present work are on one hand to continueformer work and to optimize the methodology for the discrimination of drug- and fibre type cannabisdeveloped in the previous study and on the other hand to investigate the possibility to predict illegal cannabisvarieties. Seven classifiers for differentiating between cannabis seedlings are evaluated in this paper, namelyLinear Discriminant Analysis (LDA), Partial Least Squares Discriminant Analysis (PLS-DA), Nearest NeighbourClassification (NNC), Learning Vector Quantization (LVQ), Radial Basis Function Support Vector Machines(RBF SVMs), Random Forest (RF) and Artificial Neural Networks (ANN). The performance of each method wasassessed using the same analytical dataset that consists of 861 samples split into drug- and fibre type cannabiswith drug type cannabis being made up of 12 varieties (i.e. 12 classes). The results show that linear classifiersare not able to manage the distribution of classes in which some overlap areas exist for both classificationproblems. Unlike linear classifiers, NNC and RBF SVMs best differentiate cannabis samples both for 2-class and12-class classifications with average classification results up to 99% and 98%, respectively. Furthermore, RBFSVMs correctly classified into drug type cannabis the independent validation set, which consists of cannabisplants coming from police seizures. In forensic case work this study shows that the discrimination betweencannabis samples at an early stage of growth is possible with fairly high classification performance fordiscriminating between cannabis chemotypes or between drug type cannabis varieties.

A steroidomic approach for biomarkers discovery in doping control.

Anti-doping authorities have high expectations of the athlete steroidal passport (ASP) for anabolic-androgenic steroids misuse detection. However, it is still limited to the monitoring of known well-established compounds and might greatly benefit from the discovery of new relevant biomarkers candidates. In this context, steroidomics opens the way to the untargeted simultaneous evaluation of a high number of compounds. Analytical platforms associating the performance of ultra-high pressure liquid chromatography (UHPLC) and the high mass-resolving power of quadrupole time-of-flight (QTOF) mass spectrometers are particularly adapted for such purpose. An untargeted steroidomic approach was proposed to analyse urine samples from a clinical trial for the discovery of relevant biomarkers of testosterone undecanoate oral intake. Automatic peak detection was performed and a filter of reference steroid metabolites mass-to-charge ratio (m/z) values was applied to the raw data to ensure the selection of a subset of steroid-related features. Chemometric tools were applied for the filtering and the analysis of UHPLC-QTOF-MS(E) data. Time kinetics could be assessed with N-way projections to latent structures discriminant analysis (N-PLS-DA) and a detection window was confirmed. Orthogonal projections to latent structures discriminant analysis (O-PLS-DA) classification models were evaluated in a second step to assess the predictive power of both known metabolites and unknown compounds. A shared and unique structure plot (SUS-plot) analysis was performed to select the most promising unknown candidates and receiver operating characteristic (ROC) curves were computed to assess specificity criteria applied in routine doping control. This approach underlined the pertinence to monitor both glucuronide and sulphate steroid conjugates and include them in the athletes passport, while promising biomarkers were also highlighted.

Breast cancer and melanoma cell line identification by FTIR imaging after formalin-fixation and paraffin-embedding.

Over the past few decades, Fourier transform infrared (FTIR) spectroscopy coupled to microscopy has been recognized as an emerging and potentially powerful tool in cancer research and diagnosis. For this purpose, histological analyses performed by pathologists are mostly carried out on biopsied tissue that undergoes the formalin-fixation and paraffin-embedding (FFPE) procedure. This processing method ensures an optimal and permanent preservation of the samples, making FFPE-archived tissue an extremely valuable source for retrospective studies. Nevertheless, as highlighted by previous studies, this fixation procedure significantly changes the principal constituents of cells, resulting in important effects on their infrared (IR) spectrum. Despite the chemical and spectral influence of FFPE processing, some studies demonstrate that FTIR imaging allows precise identification of the different cell types present in biopsied tissue, indicating that the FFPE process preserves spectral differences between distinct cell types. In this study, we investigated whether this is also the case for closely related cell lines. We analyzed spectra from 8 cancerous epithelial cell lines: 4 breast cancer cell lines and 4 melanoma cell lines. For each cell line, we harvested cells at subconfluence and divided them into two sets. We first tested the "original" capability of FTIR imaging to identify these closely related cell lines on cells just dried on BaF2 slides. We then repeated the test after submitting the cells to the FFPE procedure. Our results show that the IR spectra of FFPE processed cancerous cell lines undergo small but significant changes due to the treatment. The spectral modifications were interpreted as a potential decrease in the phospholipid content and protein denaturation, in line with the scientific literature on the topic. Nevertheless, unsupervised analyses showed that spectral proximities and distances between closely related cell lines were mostly, but not entirely, conserved after FFPE processing. Finally, PLS-DA statistical analyses highlighted that closely related cell lines are still successfully identified and efficiently distinguished by FTIR spectroscopy after FFPE treatment. This last result paves the way towards identification and characterization of cellular subtypes on FFPE tissue sections by FTIR imaging, indicating that this analysis technique could become a potential useful tool in cancer research.

Reflections on Partial Least Squares Path Modeling

The purpose of the present article is to take stock of a recent exchange in Organizational Research Methods between critics (Rönkkö & Evermann, 2013) and proponents (Henseler et al., 2014) of partial least squares path modeling (PLS-PM). The two target articles were centered around six principal issues, namely whether PLS-PM: (1) can be truly characterized as a technique for structural equation modeling (SEM); (2) is able to correct for measurement error; (3) can be used to validate measurement models; (4) accommodates small sample sizes; (5) is able to provide null hypothesis tests for path coefficients; and (6) can be employed in an exploratory, model-building fashion. We summarize and elaborate further on the key arguments underlying the exchange, drawing from the broader methodological and statistical literature in order to offer additional thoughts concerning the utility of PLS-PM and ways in which the technique might be improved. We conclude with recommendations as to whether and how PLS-PM serves as a viable contender to SEM approaches for estimating and evaluating theoretical models.

Role of Staphylococcus aureus surface proteins in experimental endocarditis

Résumé Le staphylocoque doré est un pathogène responsable d'une grande variété de maladies chez l'être humain. Il est extrêmement bien équipé de facteurs de virulence, dont les adhésines. Jusqu'à présent, 21 protéines liant des composants de tissus de l'hôte ("microbial surface components reacting with adherence matrix molecules, MSCRAMM") ont été identifiées, par exemple le "clumping factor" A (CIfA) ou la "fibronectin-binding protein" A (FnBPA). Néanmoins, pour la plupart de ces protéines, leur rôle dans la pathogénie des infections à staphylocoque doré reste à être élucidé. Le but de cette thèse est de contribuer à ce processus. Premièrement, les "MSCRAMM" CIfA, CIfB, FnBPA, FnBPB, Cna, SpA, Pls, SdrC, SdrD, SdrE, SasD, SasE, SasF, SasG, Sasl, SasJ et SasK ont été exprimés dans une bactérie substitut, Lactococcus lactis, et testés pour leurs propriétés adhésives et leur pathogénicité dans un modèle d'endocardite expérimentale (voir chapitre 1). Cette technique a préalablement été utilisée avec succès et a l'avantage d'éviter le contexte complexe des redondances et systèmes de régulations propres au staphylocoque doré. Les résultats montrent que, de tous les facteurs de virulence testés, seuls CIfA et FnBPA sont d'importance primordiale dans le développement d'endocardite expérimentale. En ce qui concerne l'internalisation dans les cellules endothéliales, seulement FnPBA et FnBPB en sont capables. En outre, l'adhérence à chacun des ligands testés (fibrinogène, fibronectine, kératine, élastine, collagène, et les caillots de fibrine et plaquettes) est très spécifique et est médiée par une ou plusieures adhésines provenant du staphylocoque doré. Par conséquence, ces protéines pourraient représenter des cibles potentielles pour de futures thérapies anti-adhésives contre le staphylocoque doré. Deuxièmement, l'expression des facteurs de virulence décrits dans le chapitre 1 par les souches recombinantes de lactocoques a été vérifiée par une nouvelle méthode utilisant la spectrométrie de masse (voir chapitre 2). L'expression de toutes ces protéines par les souches recombinantes a pu être confirmée. Cette méthode pourrait être de grande valeur dans la vérification de la présence de protéines quelconques dans toutes sortes d'applications. Troisièmement, deux facteurs de virulence du staphylocoque, CIfA et une forme tronquée de FnBPA, ont été exprimés de façon simultanée dans une souche recombinante de lactocoque (voir chapitre 3}. Contrairement à une souche exprimant la FnBPA entière, une souche exprimant la forme tronquée de FnPBA, qui ne contient plus le domaine capable de lier le fibrinogène, perd complètement sa capacité d'infecter dans le modèle d'endocardite expérimentale. Par contre, il est montré que, en cas de complémentation de la forme tronquée de FnPBA avec le domaine de liaison au fibrinogène de CIfA dans la souche double recombinante, le phénotype intégral de FnBPA est récupéré. En conséquence, les facteurs de virulence sont capables de coopérer dans le but de la pathogénie des infections à staphylocoque doré. Summary Staphylococcus aureus is a human pathogen causing a wide variety of disease. It is extremely well equipped with both secreted and surface-attached virulence factors, which can act as adhesins to host tissues. In total, twenty-one microbial surface components reacting with adherence matrix molecules (MSCRAMMs) have been identified, so far. These include well-characterized adhesins such as clumping factor A (CIfA) or fibronectin-binding protein A (FnBPA). However, for most of them their potential role in the pathogenesis of staphylococcal infections remains to be elucidated. This has been attempted in this thesis work. Firstly, the staphylococcal MSCRAMMs CIfA, CIfB, FnBPA, FnBPB, Cna, SpA, Pls, SdrC, SdrD, SdrE, SasD, SasE, SasF, SasG, Sasl, SasJ, and SasK have been expressed in a surrogate bacterium, Lactococcus lactis, and tested for their in vitro adherence properties and their pathogenicity in the rat model of experimental endocarditis (see chapter 1). This model has successfully been used previously, and has the advantage of bypassing the complex S. aureus background of redundancies and differential regulation. Here, it is shown that of the seventeen tested potential virulence factors, only CIfA and FnBPA are critical for the pathogenesis of experimental endocarditis in rats, while internalization into bovine endothelial cells is mediated exclusively by FnBPA and FnBPB. In addition, the adherence to specific host ligands (fibrinogen, fibronectin, keratin, elastin, collagen, and fibrin-platelet clots) is highly specific and mediated by one or few staphylococcal adhesins, respectively. Thus, these surface proteins may represent potential targets for an anti-adhesive strategy against S. aureus infections. Secondly, the expression of the staphylococcal proteins by L. lactis recombinants described in chapter 1 was tested by a novel method using mass spectrometry (see chapter 2). The expression of all the staphylococcal proteins by the respective recombinant lactococcal strain could be confirmed. This method may prove to be of great value in the confirmation of the presence of any given protein in various experimental settings. Thirdly, two staphylococcal virulence factors, CIfA and a truncated form of FnBPA, were expressed simultaneously in one recombinant lactococcal strain (see chapter 3). In contrast to a recombinant strain expressing full-length FnPBA, a recombinant strain expressing a truncated FnPBA, lacking the domain capable of binding fibrinogen, completely lost infectivity in experimental endocarditis. However, it is shown that the complementation of the truncated form of FnBPA with the fibrinogenbinding domain of CIfA in a double recombinant strain results in the recovery of the complete phenotype of full-length FnBPA. Thus, virulence factors can cooperate in the pathogenesis of staphylococcal infections.

L'intérêt de l'analyse de l'activité en complément de tout outil d'évaluation de l'environnement psychosocial

L'analyse de l'activité reste le principal garant d'une bonne évaluation de la situation de travail et de l'environnement psychosocial. Elle permet de donner du contenu, de la substance et ainsi d'expliquer les données récoltées par questionnaire. Lors d'études à petite échelle et dans un contexte d'activité spécifique, l'analyse de l'activité devrait toujours accompagner l'utilisation d'autres outils d'évaluation. En effet, on voit ici que les échelles de Karasek ne traduisent pas toujours la réalité des diverses situations de travail, et l'autonomie décisionnelle de Karasek n'est ici pas un bon révélateur des possibilités d'ajustement et de la marge de manoeuvre. Ces échelles ont été initialement conçues pour être utilisées lors d'études épidémiologiques et donc sur de grandes populations où la spécificité de certaines activités influencerait ainsi moins le résultat global. Leur utilisation de façon plus ou moins abusive sur d'autres types de populations doit être questionnée

An infrared spectral signature of human lymphocyte subpopulations from peripheral blood.

Metastatic melanomas are frequently refractory to most adjuvant therapies such as chemotherapies and radiotherapies. Recently, immunotherapies have shown good results in the treatment of some metastatic melanomas. Immune cell infiltration in the tumor has been associated with successful immunotherapy. More generally, tumor infiltrating lymphocytes (TILs) in the primary tumor and in metastases of melanoma patients have been demonstrated to correlate positively with favorable clinical outcomes. Altogether, these findings suggest the importance of being able to identify, quantify and characterize immune infiltration at the tumor site for a better diagnostic and treatment choice. In this paper, we used Fourier Transform Infrared (FTIR) imaging to identify and quantify different subpopulations of T cells: the cytotoxic T cells (CD8+), the helper T cells (CD4+) and the regulatory T cells (T reg). As a proof of concept, we investigated pure populations isolated from human peripheral blood from 6 healthy donors. These subpopulations were isolated from blood samples by magnetic labeling and purities were assessed by Fluorescence Activated Cell Sorting (FACS). The results presented here show that Fourier Transform Infrared (FTIR) imaging followed by supervised Partial Least Square Discriminant Analysis (PLS-DA) allows an accurate identification of CD4+ T cells and CD8+ T cells (>86%). We then developed a PLS regression allowing the quantification of T reg in a different mix of immune cells (e.g. Peripheral Blood Mononuclear Cells (PBMCs)). Altogether, these results demonstrate the sensitivity of infrared imaging to detect the low biological variability observed in T cell subpopulations.

Fingermark initial composition and aging using Fourier transform infrared microscopy (μ-FTIR)

This study investigated fingermark residues using Fourier transform infrared microscopy (μ- FTIR) in order to obtain fundamental information about the marks' initial composition and aging kinetics. This knowledge would be an asset for fundamental research on fingermarks, such as for dating purposes. Attenuated Total Reflection (ATR) and single-point reflection modes were tested on fresh fingermarks. ATR proved to be better suited and this mode was subsequently selected for further aging studies. Eccrine and sebaceous material was found in fresh and aged fingermarks and the spectral regions 1000-1850 cm-1 and 2700-3600 cm-1 were identified as the most informative. The impact of substrates (aluminium and glass slides) and storage conditions (storage in the light and in the dark) on fingermark aging was also studied. Chemometric analyses showed that fingermarks could be grouped according to their age regardless of the substrate when they were stored in an open box kept in an air-conditioned laboratory at around 20°C next to a window. On the contrary, when fingermarks were stored in the dark, only specimens deposited on the same substrate could be grouped by age. Thus, the substrate appeared to influence aging of fingermarks in the dark. Furthermore, PLS regression analyses were conducted in order to study the possibility of modelling fingermark aging for potential fingermark dating applications. The resulting models showed an overall precision of ±3 days and clearly demonstrated their capability to differentiate older fingermarks (20 and 34-days old) from newer ones (1, 3, 7 and 9-days old) regardless of the substrate and lighting conditions. These results are promising from a fingermark dating perspective. Further research is required to fully validate such models and assess their robustness and limitations in uncontrolled casework conditions.

On the Adoption of Partial Least Squares in Psychological Research: Caveat Emptor

The partial least squares technique (PLS) has been touted as a viable alternative to latent variable structural equation modeling (SEM) for evaluating theoretical models in the differential psychology domain. We bring some balance to the discussion by reviewing the broader methodological literature to highlight: (1) the misleading characterization of PLS as an SEM method; (2) limitations of PLS for global model testing; (3) problems in testing the significance of path coefficients; (4) extremely high false positive rates when using empirical confidence intervals in conjunction with a new "sign change correction" for path coefficients; (5) misconceptions surrounding the supposedly superior ability of PLS to handle small sample sizes and non-normality; and (6) conceptual and statistical problems with formative measurement and the application of PLS to such models. Additionally, we also reanalyze the dataset provided by Willaby et al. (2015; doi:10.1016/j.paid.2014.09.008) to highlight the limitations of PLS. Our broader review and analysis of the available evidence makes it clear that PLS is not useful for statistical estimation and testing.

Archiving Primary Data: Solutions for Long-Term Studies.

The recent trend for journals to require open access to primary data included in publications has been embraced by many biologists, but has caused apprehension amongst researchers engaged in long-term ecological and evolutionary studies. A worldwide survey of 73 principal investigators (Pls) with long-term studies revealed positive attitudes towards sharing data with the agreement or involvement of the PI, and 93% of PIs have historically shared data. Only 8% were in favor of uncontrolled, open access to primary data while 63% expressed serious concern. We present here their viewpoint on an issue that can have non-trivial scientific consequences. We discuss potential costs of public data archiving and provide possible solutions to meet the needs of journals and researchers.

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In the past 2 decades, there has been an increase in both basic science research detailing the anatomy and biomechanics of the native posterior cruciate ligament (PCL) and outcome studies evaluating manage- ment of the ruptured PCL. While the methodology of the latter continues to improve, results based on the current level of evidence must be interpreted cautiously (18). The focus of many recent studies has been double-bundle versus single-bundle reconstruction techniques. The theoretical advantage goes to double-bundle techniques, but a clinical difference in outcome has not been consistently demonstrated (8,17). Some biomechanical studies have reported improved control of posterior laxity with double-bundle reconstruc- tion; however, results appear to be more dependent on tunnel position and graft tensioning (13). In acute isolated symptomatic PCL injuries in which the posteromedial bundle and the meniscofemoral ligament remain intact, a single-bundle augmentation procedure may be the preferred surgical technique. In more complex PCL ruptures with associated injuries involving the posterolateral structures (PLS) or medial collateral ligament, more benefit may be derived from double-bundle reconstruction. Again, cadaveric testing of double-bundle PCL reconstruction has not consistently outperformed single-bundle techniques in combined PCL/PLS injury (3). Multi-ligamentous injuries are commonly associated with PCL rupture (15), and their management should be considered carefully in the decision to reconstruct one or both of the functionally dis- tinct PCL bundles. However, the technical complexity of double-bundle reconstruction, the longer surgical time required, as well as the inconclusive clinical outcome are all factors that must be weighed carefully.