Proteomic Approaches Identify Members of Cofilin Pathway Involved in Oral Tumorigenesis

The prediction of tumor behavior for patients with oral carcinomas remains a challenge for clinicians. The presence of lymph node metastasis is the most important prognostic factor but it is limited in predicting local relapse or survival. This highlights the need for identifying biomarkers that may effectively contribute to prediction of recurrence and tumor spread. In this study, we used one-and two-dimensional gel electrophoresis, mass spectrometry and immunodetection methods to analyze protein expression in oral squamous cell carcinomas. Using a refinement for classifying oral carcinomas in regard to prognosis, we analyzed small but lymph node metastasis-positive versus large, lymph node metastasis-negative tumors in order to contribute to the molecular characterization of subgroups with risk of dissemination. Specific protein patterns favoring metastasis were observed in the "more-aggressive'' group defined by the present study. This group displayed upregulation of proteins involved in migration, adhesion, angiogenesis, cell cycle regulation, anti-apoptosis and epithelial to mesenchymal transition, whereas the "less-aggressive'' group was engaged in keratinocyte differentiation, epidermis development, inflammation and immune response. Besides the identification of several proteins not yet described as deregulated in oral carcinomas, the present study demonstrated for the first time the role of cofilin-1 in modulating cell invasion in oral carcinomas.

Animal models of prenatal immune challenge and their contribution to the study of schizophrenia: a systematic review

Prenatal immune challenge (PIC) in pregnant rodents produces offspring with abnormalities in behavior, histology, and gene expression that are reminiscent of schizophrenia and autism. Based on this, the goal of this article was to review the main contributions of PIC models, especially the one using the viral-mimetic particle polyriboinosinic-polyribocytidylic acid (poly-I:C), to the understanding of the etiology, biological basis and treatment of schizophrenia. This systematic review consisted of a search of available web databases (PubMed, SciELO, LILACS, PsycINFO, and ISI Web of Knowledge) for original studies published in the last 10 years (May 2001 to October 2011) concerning animal models of PIC, focusing on those using poly-I:C. The results showed that the PIC model with poly-I:C is able to mimic the prodrome and both the positive and negative/cognitive dimensions of schizophrenia, depending on the specific gestation time window of the immune challenge. The model resembles the neurobiology and etiology of schizophrenia and has good predictive value. In conclusion, this model is a robust tool for the identification of novel molecular targets during prenatal life, adolescence and adulthood that might contribute to the development of preventive and/or treatment strategies (targeting specific symptoms, i.e., positive or negative/cognitive) for this devastating mental disorder, also presenting biosafety as compared to viral infection models. One limitation of this model is the incapacity to model the full spectrum of immune responses normally induced by viral exposure.

Dynamically reconfigurable architectures for video coding and hyperspectral imaging systems

Programa de Doctorado: Ingeniería de Telecomunicación Avanzada.

Influence of pile inclination angle on the dynamic properties and seismic response of piled structures.

[EN] This paper aims to contribute to clarify whether the use of battered piles has a positive or negative influence on the dynamic response of deep foundations and superstructures. For this purpose, the dynamic response of slender and non-slender structures supported on several configurations of 2X2 and 3X3 pile groups including battered elements is obtained through a procedure based on a substructuring model whick takes soil-structure interaction into account.

Classificazione su base molecolare dei tumori mammari della cagna mediante metodica immunoistochimica

Background. A new classification system of human breast tumours based on the immunohistochemical characterization has been applied to mammary tumours of the female dog with the aim to verify its association with invasion and grade, and prognostic aid in veterinary medicine. Methods. Forty-five canine mammary carcinomas with a two-year post-mastectomy follow-up were selected from our database, and the following antibodies were applied: anti-cytokeratines 14, 5/6, oestrogen receptor (ER), progesterone receptor (PR), and ERB-B2. . The tumours were grouped for phenotype as: luminal-like (ER+ and/or PR+, CK14-, CK5/6-) type A (ERB-B2-), and B (ERB-B2+); basal-like (ER-, PR-, CK14+ and/or CK5/6+, ERB-B2-); ERB-B2 (ER-, PR-, CK14-, CK5/6-, ERB-B2+). Association with invasion, grade and histotypes were evaluated and Kaplan-Meier survival curves estimated, then compared by survival analysis. Results. Thirty-five cases with luminal pattern (ER+ and PR+) were subgrouped into 13 A type and 22 B type, if ERB-B2 positive or negative . Most luminal-like A and basal-like cases were grade 1 carcinomas, while the percentage of luminal B cases was higher in grade 2 and 3 (Pearson Chi-square P=0.009). No difference in the percentage of molecular subtypes was evidenced between simple and complex/mixed carcinomas (Pearson Chi-square P=0.47). No significant results were obtained by survival analysis, even if basal-like had a more favourable prognosis than luminal-like. Conclusion. The panel of antibodies identified only 3 groups (luminal-like A and B, and basal-like) in the dog. Even though canine mammary tumours may be a model of human breast cancer, the existence of the same types of carcinoma as in the woman need to be confirmed. Canine mammary carcinomas show high molecular heterogeneity, which would benefit from a classification based on molecular differences. However, by multivariate analysis, the molecular classification appears a variable with a dependent value if compared to invasion and grade that are independent, suggesting that, at present, caution should be used in the application of such a classification to the dog, in which invasion and grade supply the most important prognostic information.

Facetten emotionaler Expressivität auf Fragebogenebene

Der Dimensionierung emotionaler Expressivität auf Fragebogenebene wurde in zwei Untersuchungen nachgegangen. Gross und John (1998) untersuchten die Items bestehender Fragebogen auf ihre dimensionale Struktur hin und ermittelten die fünf Facetten positive und negative Expressivität, Impulsstärke, Darstellungsfähigkeit (expressive confidence) und Verstellungstendenz (masking), wobei die drei erstgenannten in einem hierarchischen Modell einen engeren Zusammenhang mit einander aufwiesen (Kern-Expressivität) als die beiden anderen. Untersuchung 1 ging den Fragen nach, ob sich die gleichen Dimensionen auch mit deutschen Adaptationen der Fragebogen finden lassen, und ob sich die dimensionale Struktur ändert, wenn weitere Fragebogen aus dem Bereich der Expressivität hinzugenommen werden. Die Dimensionen von Gross und John (1998) konnten nur zum Teil repliziert werden. Dies und die Ergebnisse des erweiterten Itempools führten zur Formulierung eines modifizierten (erweiterten) Modells der Facetten emotionaler Expressivität. In Untersuchung 2 wurden Items für einen Fragebogen zu Facetten emotionaler Expressivität (FFEE) formuliert, welche die im modifizierten Modell spezifizierten Dimensionen erheben sollten. Die drei postulierten übergeordneten Bereiche Kern-Expressivität, soziale Expressivität und kognitive Expressivität konnten auch empirisch gefunden werden. Darüber hinaus differenzierten sich die negativen Items der Kern-Expressivität stärker als die positiven. Die Zusammenhänge mit externen Expressivitäts-Fragebogen, den globalen Persönlichkeitsmerkmalen Extraversion und Neurotizismus und den Angstbewältigungsdimensionen Vigilanz und kognitive Vermeidung bestätigten die Validität des FFEE. Theoretische Implikationen und Ansatzpunkte für weitere Forschungen wurden diskutiert.

13C NMR of a single molecule magnet: analysis of pseudocontact shifts and residual dipolar couplings

Paramagnetic triple decker complexes of lanthanides are promising Single Molecule Magnets (SMMs), with many potential uses. Some of them show preferable relaxation behavior, which enables the recording of well resolved NMR spectra. These axially symmetric complexes are also strongly magnetically anisotropic, and this property can be described with the axial component of the magnetic susceptibility tensor, χa. For triple decker complexes with phthalocyanine based ligands, the Fermi˗contact contribution is small. Hence, together with the axial symmetry, the experimental chemical shifts in 1H and 13C NMR spectra can be modeled easily by considering pseudocontact and orbital shifts alone. This results in the determination of the χa value, which is also responsible for molecular alignment and consequently for the observation of residual dipolar couplings (RDCs). A detailed analysis of the experimental 1H-13C and 1H-1H couplings revealed that contributions from RDCs (positive and negative) and from dynamic frequency shifts (negative for all observed couplings) have to be considered. Whilst the pseudocontact shifts depend on the average positions of 1H and 13C nuclei relative to the lanthanide ions, the RDCs are related to the mobility of nuclei they correspond to. This phenomenon allows for the measurement of the internal mobility of the various groups in the SMMs.

Periodicities in the Hodgkin-Huxley model and versions of this model with stochastic input

A field of computational neuroscience develops mathematical models to describe neuronal systems. The aim is to better understand the nervous system. Historically, the integrate-and-fire model, developed by Lapique in 1907, was the first model describing a neuron. In 1952 Hodgkin and Huxley [8] described the so called Hodgkin-Huxley model in the article “A Quantitative Description of Membrane Current and Its Application to Conduction and Excitation in Nerve”. The Hodgkin-Huxley model is one of the most successful and widely-used biological neuron models. Based on experimental data from the squid giant axon, Hodgkin and Huxley developed their mathematical model as a four-dimensional system of first-order ordinary differential equations. One of these equations characterizes the membrane potential as a process in time, whereas the other three equations depict the opening and closing state of sodium and potassium ion channels. The membrane potential is proportional to the sum of ionic current flowing across the membrane and an externally applied current. For various types of external input the membrane potential behaves differently. This thesis considers the following three types of input: (i) Rinzel and Miller [15] calculated an interval of amplitudes for a constant applied current, where the membrane potential is repetitively spiking; (ii) Aihara, Matsumoto and Ikegaya [1] said that dependent on the amplitude and the frequency of a periodic applied current the membrane potential responds periodically; (iii) Izhikevich [12] stated that brief pulses of positive and negative current with different amplitudes and frequencies can lead to a periodic response of the membrane potential. In chapter 1 the Hodgkin-Huxley model is introduced according to Izhikevich [12]. Besides the definition of the model, several biological and physiological notes are made, and further concepts are described by examples. Moreover, the numerical methods to solve the equations of the Hodgkin-Huxley model are presented which were used for the computer simulations in chapter 2 and chapter 3. In chapter 2 the statements for the three different inputs (i), (ii) and (iii) will be verified, and periodic behavior for the inputs (ii) and (iii) will be investigated. In chapter 3 the inputs are embedded in an Ornstein-Uhlenbeck process to see the influence of noise on the results of chapter 2.

Interaktions- und Aggregationsverhalten von Nanopartikeln in Blutserum

Das Interesse an nanopartikulären Wirkstoffsystemen steigt sowohl auf universitärer als auch auf industrieller Seite stetig an. Da diese Formulierungen meist intravenös verabreicht werden, kommt es folglich zu einem direkten Kontakt der Nanopartikel mit den Blutbestandteilen. Adsorption von Plasma Proteinen kann eine deutliche Veränderung der charakteristischen Eigenschaften des Systems induzieren, was dann Wirkungsweise sowie Toxizität stark beinflussen kann. Derzeit findet die Charakterisierung nanopartikulärer Wirkstoffsysteme vor der in vivo Applikation in Pufferlösungen mit physiologischem Salzgehalt statt, es ist jedoch kaum etwas bekannt über deren Wechselwirkungen mit komplexen Proteinmischungen wie sie im Blutserum oder –plasma vorliegen. rnMittels dynamischer Lichtstreuung (DLS) wurde eine einfache und reproduzierbare Methode entwickelt um die Aggregatbildung zwischen Nanopartikeln, Polymeren oder verschiedenen Wirkstoff-Konjugaten in humanem Blutserum zu untersuchen. Die Anwendbarkeit dieser Methode wurde durch Untersuchung verschiedener potentieller Nanotherapeutika (z.B. Polystyrol-Nanokapseln, Liposomen, amphiphile Blockcopolymere und Nanohydrogele) bezüglich ihrer Aggregation in humanem Blutserum mittels DLS gezeigt und teilweise mit aktuellen in vivo Experimenten verglichen. rnDarüber hinaus wurden größeneinheitliche Liposomen, basierend auf Disteraoylphosphatidylcholin, Cholesterol und einem Spermin-Tensid, hergestellt. Die Einkapselung von siRNA ist, je nach Präparationsmethode, mit Einkapselungseffizienzen von 40-75% möglich. Nach detaillierter Charakterisierung der Liposomen wurden diese ebenfalls bezüglich ihres Aggregationsverhaltens in humanem Blutserum untersucht. Unbeladene Liposomen aggregieren nicht mit Komponenten des Serums. Je nach Beladungsprotokoll können aggregierende sowie nicht aggregierende Liposomen-siRNA Komplexe hergestellt werden. rnWeiterhin wurden, zur Identifikation der Aggregation induzierenden Serumkomponenten, verschiedenen Serumsfraktionierungstechniken erfolgreich angewendet. Albumin, IgG, und Lipoproteine (VLDL, LDL) sowie verschiedene Proteinmischungen konnten isoliert und für weitere Aggregationsstudien mittels DLS verwendet werden. Für einige ausgesuchte Systeme konnten die Interaktionspartner identifiziert werden. rnDie Korrelation des Aggregationsverhaltens mit den strukturellen sowie funktionellen Eigenschaften der untersuchten Nanopartikel führt zu dem generellen Ergebnis, dass leicht negativ und leicht positiv bis neutrale Partikel eine geringe Tendenz zur Aggregation in Serum haben. Auch zwitterionische Substanzen zeigen eine hohe Serumstabilität. Hingegen aggregieren stark positiv und negativ geladene Partikel vermehrt.rn

Credit-Default-Swaps and the 2008 Financial Crisis: An Inquiry into the Underlying Legal Origins and the European Union’s Regulatory Reforms

After the 2008 financial crisis, the financial innovation product Credit-Default-Swap (CDS) was widely blamed as the main cause of this crisis. CDS is one type of over-the-counter (OTC) traded derivatives. Before the crisis, the trading of CDS was very popular among the financial institutions. But meanwhile, excessive speculative CDSs transactions in a legal environment of scant regulation accumulated huge risks in the financial system. This dissertation is divided into three parts. In Part I, we discussed the primers of the CDSs and its market development, then we analyzed in detail the roles CDSs had played in this crisis based on economic studies. It is advanced that CDSs not just promoted the eruption of the crisis in 2007 but also exacerbated it in 2008. In part II, we asked ourselves what are the legal origins of this crisis in relation with CDSs, as we believe that financial instruments could only function, positive or negative, under certain legal institutional environment. After an in-depth inquiry, we observed that at least three traditional legal doctrines were eroded or circumvented by OTC derivatives. It is argued that the malfunction of these doctrines, on the one hand, facilitated the proliferation of speculative CDSs transactions; on the other hand, eroded the original risk-control legal mechanism. Therefore, the 2008 crisis could escalate rapidly into a global financial tsunami, which was out of control of the regulators. In Part III, we focused on the European Union’s regulatory reform towards the OTC derivatives market. In specific, EU introduced mandatory central counterparty clearing obligation for qualified OTC derivatives, and requires that all OTC derivatives shall be reported to a trade repository. It is observable that EU’s approach in re-regulating the derivatives market is different with the traditional administrative regulation, but aiming at constructing a new market infrastructure for OTC derivatives.

Fattori prognostici in corso di malattia renale cronica (ckd) nel cane

Negli ultimi anni si è assistito ad un miglioramento della qualità di vita dei piccoli animali che, oltre ad aumentarne l'aspettativa di vita, ha determinato un aumento della frequenza di patologie associate all'età medio-avanzata, quali le patologie renali croniche. Il presente studio si fonda sulla necessità, sempre più sentita nella pratica clinica veterinaria, di poter fornire al proprietario del paziente affetto da CKD, una serie di parametri che, oltre a fungere da target terapeutico, possano aiutare a comprenderne la prognosi. Lo studio ha valutato una popolazione di cani affetti da CKD e ne ha seguito o ricostruito il follow-up, per tutto il periodo di sopravvivenza fino al momento dell’exitus. Di tali soggetti sono stati raccolti dati relativi ad anamnesi, esame clinico, misurazione della pressione arteriosa, diagnostica per immagini, esami ematochimici, analisi delle urine ed eventuale esame istologico renale. È stato possibile individuare alcuni importanti fattori prognostici per la sopravvivenza in pazienti con CKD. Oltre a fattori ben noti in letteratura, come ad esempio elevati valori di creatinina e fosforo, o la presenza di proteinuria, è stato possibile anche evidenziare il ruolo prognostico negativo di alcuni parametri meno noti, ed in particolare delle proteine di fase acuta positive e negative, e del rapporto albumina/globuline. Una possibile spiegazione del valore prognostico di tali parametri risiede nel ruolo prognostico negativo dell’infiammazione nel paziente con CKD: tale ruolo è stato suggerito e dimostrato nell’uomo e avrebbe alla base numerosi possibili meccanismi (sviluppo di anemia, complicazioni gastroenteriche, neoplasie, etc.), ma dati analoghi sono mancanti in medicina veterinaria. Una seconda possibile spiegazione risiede nel fatto che potenzialmente i livelli delle proteine di fase acuta possono essere influenzati dalla presenza di proteinuria nel paziente con CKD e di conseguenza potrebbero essere una conferma di come la proteinuria influenzi negativamente l'outcome.

Development, characterization, and application of flowing atmospheric-pressure afterglow ionization for mass spectrometric analysis of ambient organic aerosols

Addressing current limitations of state-of-the-art instrumentation in aerosol research, the aim of this work was to explore and assess the applicability of a novel soft ionization technique, namely flowing atmospheric-pressure afterglow (FAPA), for the mass spectrometric analysis of airborne particulate organic matter. Among other soft ionization methods, the FAPA ionization technique was developed in the last decade during the advent of ambient desorption/ionization mass spectrometry (ADI–MS). Based on a helium glow discharge plasma at atmospheric-pressure, excited helium species and primary reagent ions are generated which exit the discharge region through a capillary electrode, forming the so-called afterglow region where desorption and ionization of the analytes occurs. Commonly, fragmentation of the analytes during ionization is reported to occur only to a minimum extent, predominantly resulting in the formation of quasimolecular ions, i.e. [M+H]+ and [M–H]– in the positive and the negative ion mode, respectively. Thus, identification and detection of signals and their corresponding compounds is facilitated in the acquired mass spectra. The focus of the first part of this study lies on the application, characterization and assessment of FAPA–MS in the offline mode, i.e. desorption and ionization of the analytes from surfaces. Experiments in both positive and negative ion mode revealed ionization patterns for a variety of compound classes comprising alkanes, alcohols, aldehydes, ketones, carboxylic acids, organic peroxides, and alkaloids. Besides the always emphasized detection of quasimolecular ions, a broad range of signals for adducts and losses was found. Additionally, the capabilities and limitations of the technique were studied in three proof-of-principle applications. In general, the method showed to be best suited for polar analytes with high volatilities and low molecular weights, ideally containing nitrogen- and/or oxygen functionalities. However, for compounds with low vapor pressures, containing long carbon chains and/or high molecular weights, desorption and ionization is in direct competition with oxidation of the analytes, leading to the formation of adducts and oxidation products which impede a clear signal assignment in the acquired mass spectra. Nonetheless, FAPA–MS showed to be capable of detecting and identifying common limonene oxidation products in secondary OA (SOA) particles on a filter sample and, thus, is considered a suitable method for offline analysis of OA particles. In the second as well as the subsequent parts, FAPA–MS was applied online, i.e. for real time analysis of OA particles suspended in air. Therefore, the acronym AeroFAPA–MS (i.e. Aerosol FAPA–MS) was chosen to refer to this method. After optimization and characterization, the method was used to measure a range of model compounds and to evaluate typical ionization patterns in the positive and the negative ion mode. In addition, results from laboratory studies as well as from a field campaign in Central Europe (F–BEACh 2014) are presented and discussed. During the F–BEACh campaign AeroFAPA–MS was used in combination with complementary MS techniques, giving a comprehensive characterization of the sampled OA particles. For example, several common SOA marker compounds were identified in real time by MSn experiments, indicating that photochemically aged SOA particles were present during the campaign period. Moreover, AeroFAPA–MS was capable of detecting highly oxidized sulfur-containing compounds in the particle phase, presenting the first real-time measurements of this compound class. Further comparisons with data from other aerosol and gas-phase measurements suggest that both particulate sulfate as well as highly oxidized peroxyradicals in the gas phase might play a role during formation of these species. Besides applying AeroFAPA–MS for the analysis of aerosol particles, desorption processes of particles in the afterglow region were investigated in order to gain a more detailed understanding of the method. While during the previous measurements aerosol particles were pre-evaporated prior to AeroFAPA–MS analysis, in this part no external heat source was applied. Particle size distribution measurements before and after the AeroFAPA source revealed that only an interfacial layer of OA particles is desorbed and, thus, chemically characterized. For particles with initial diameters of 112 nm, desorption radii of 2.5–36.6 nm were found at discharge currents of 15–55 mA from these measurements. In addition, the method was applied for the analysis of laboratory-generated core-shell particles in a proof-of-principle study. As expected, predominantly compounds residing in the shell of the particles were desorbed and ionized with increasing probing depths, suggesting that AeroFAPA–MS might represent a promising technique for depth profiling of OA particles in future studies.

Radiolabeled bicyclic somatostatin-based analogs: a novel class of potential radiotracers for SPECT/PET of neuroendocrine tumors

A variety of radiolabeled somatostatin analogs have been developed for targeting of somatostatin receptor (sst)-positive tumors. Bicyclic somatostatin-based radiopeptides have not been studied yet. Hypothesizing that the introduction of conformational constraints may lead to receptor subtype selectivity or may help to delineate structural features determining pansomatostatin potency, we developed and evaluated first examples of this new class of potential radiotracers for imaging or therapy of neuroendocrine tumors.

Rapid qualitative urinary tract infection pathogen identification by SeptiFast real-time PCR

Background Urinary tract infections (UTI) are frequent in outpatients. Fast pathogen identification is mandatory for shortening the time of discomfort and preventing serious complications. Urine culture needs up to 48 hours until pathogen identification. Consequently, the initial antibiotic regimen is empirical. Aim To evaluate the feasibility of qualitative urine pathogen identification by a commercially available real-time PCR blood pathogen test (SeptiFast®) and to compare the results with dipslide and microbiological culture. Design of study Pilot study with prospectively collected urine samples. Setting University hospital. Methods 82 prospectively collected urine samples from 81 patients with suspected UTI were included. Dipslide urine culture was followed by microbiological pathogen identification in dipslide positive samples. In parallel, qualitative DNA based pathogen identification (SeptiFast®) was performed in all samples. Results 61 samples were SeptiFast® positive, whereas 67 samples were dipslide culture positive. The inter-methodological concordance of positive and negative findings in the gram+, gram- and fungi sector was 371/410 (90%), 477/492 (97%) and 238/246 (97%), respectively. Sensitivity and specificity of the SeptiFast® test for the detection of an infection was 0.82 and 0.60, respectively. SeptiFast® pathogen identifications were available at least 43 hours prior to culture results. Conclusion The SeptiFast® platform identified bacterial DNA in urine specimens considerably faster compared to conventional culture. For UTI diagnosis sensitivity and specificity is limited by its present qualitative setup which does not allow pathogen quantification. Future quantitative assays may hold promise for PCR based UTI pathogen identification as a supplementation of conventional culture methods.

Streptococcus spp. and related bacteria: Their identification and their pathogenic potential for chronic mastitis - A molecular approach

Streptococcus spp. and related bacteria form a large group of organisms which are associated with bovine intramammary Infections (IMI). Some of them are the well-known mastitis pathogens Streptococcus uberis and Streptococcus agalactiae. In addition, there are a considerable number of these gram-positive, catalase-negative cocci (PNC) with unclear mastitic pathogenicity such as Aerococcus viridans which make the conventional diagnostics of PNC difficult. One diagnostic, API 20 Strep (API, Biomerieux) is recommended which, as a phenotypic assay, involves a series of miniaturized biochemical tests. Recently, preference is given to genotypic identification methods. In particular, sequencing of the 16S rRNA gene allows highly reproducible and accurate identification of bacteria and permits discovery of novel, clinically relevant bacteria. As a consequence, the aim of the present study was to compare identification of IMI-associated PNC by the API method as well as by sequencing of their 16S rRNA gene (16S). Furthermore, the correlation of these bacteria to bovine chronic mastitis and their phylogeny was investigated. 102 PNC isolated from single quarter milk samples were identified by API and 16S sequencing. Considering Streptococcus uberis, Streptococcus dysgalactiae subsp. dysgalactiae and Streptococcus agalactiae, both methods generated fully concordant results. In contrast, a very high disconcordance was observed for most of the other PNC, in particular Enterococcus spp., Aerococcus viridans and the viridans streptococci were shown as apathogenic. Lactococcus garvieae was found to be an opportunistic pathogen causing IMI during late lactation. In addition, PNC isolated from milk were frequently observed together with other bacteria, in particular with Staphylococcus spp. In these cases, the levels of somatic cell counts (SCC) were determined by the specific PNC present in the sample. Considering PNC phylogeny based on 16S sequencing, 3 major clusters were observed. They included all the common mastitis pathogens (cluster I), the Lactococcus spp., Enterococcus spp. and Aerococcus spp. (cluster II) and all the viridans streptococci (cluster III).