Mathematical modeling and analysis of the interaction of populations of bacteria and bacteriophages within chicken intestine

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A comparison of the accuracy of peritoneoscopy and liver biopsy in the diagnosis of cirrhosis

The accuracy of peritoneoscopy and liver biopsy in the diagnosis of hepatic cirrhosis was compared in 473 consecutive patients submitted to both procedures. One hundred and fifty-two of them had cirrhosis diagnosed by one or both methods. There was 73% agreement between the two procedures. `Apparent' false-negative results were 17·7% for peritoneoscopy and 9·3% for liver biopsy. The incidence of false-negative results in the diagnosis of cirrhosis can be reduced by combining both procedures.

Lymphocyte populations in liver biopsy specimens from patients with chronic liver disease

The characterisation of lymphocytes from liver biopsies indicates that 'activated' T lymphocytes are present in the liver in alcohol induced hepatitis, chronic active hepatitis (HBS+ve and -ve), and in primary biliary cirrhosis but not in inactive cirrhosis, chronic persistent hepatitis, extrahepatic and drug induced cholestasis. A greater percentage of lymphocytes bear Fc-receptors in chronic active hepatitis than in alcohol induced hepatitis or cholestatic liver disease. The concentration of 'activated' T cells in the peripheral blood in all groups studied was within the normal range, suggesting that the 'activated' T cells found in the liver were reacting to either native or foreign antigens within the liver. The data on Fc-receptor bearing cells are consistent with the involvement of antibody assisted K cell mediated cytotoxicity in chronic active hepatitis.

Clinical usefulness of temporal artery biopsy.

To assess the diagnostic usefulness of temporal artery biopsy in temporal arteritis (TA) and establish clinical features capable of predicting its positivity we have retrospectively studied the biopsy specimens and the clinical features of 103 patients who had undergone temporal artery biopsy. Temporal artery biopsy reached a positive predictive value of 90.2% with respect to the final diagnosis based on the criteria proposed by Ellis and Ralston and the clinical course. The simultaneous presence of recent onset headache, jaw claudication, and abnormalities of the temporal arteries on physical examination had a specificity of 94.8% with respect to the histological diagnosis and of 100% with respect to final diagnosis. The presence of any of these clinical features, though of little specificity (34.4%), had a sensitivity of 100% with respect to histological diagnosis, selecting a group of patients in whom temporal artery biopsy has more discriminative value.

Endorectal Magnetic Resonance Imaging and Spectroscopy Are Useful for Selecting Candidates for Biopsy among Patients with Persistently Elevated Prostate Specific Antigen

To evaluate the efficacy of endorectal Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spetroscopic Imaging (MRSI) combined with total prostate-specific antigen (tPSA) and free prostate-specific antigen (fPSA) in selecting candidates for biopsy. Subjects and Methods: 246 patients with elevated tPSA (median: 7.81 ng/ml) underwent endorectal MRI and MRSI before Transrectal Ultrasound (TRUS) biopsy (10 peripheral + 2 central cores); patients with positive biopsies were treated with radical intention; those with negative biopsies were followed up and underwent MRSI before each additional biopsy if tPSA rose persistently. Mean follow-up: 27.6 months. We compared MRI, MRSI, tPSA, and fPSA with histopathology by sextant and determined the association between the Gleason score and MRI and MRSI. We determined the most accurate combination to detect prostate cancer (PCa) using receiver operating curves; we estimated the odds ratios (OR) and calculated sensitivity, specificity, and positive and negative predictive values. Results: No difference in tPSA was found between patients with and without PCa (p = 0.551). In the peripheral zone, the risk of PCa increased with MRSI grade; patients with high-grade MRSI had the greatest risk of PCa over time (OR = 328.6); the model including MRI, MRSI, tPSA, and fPSA was more accurate (Area under Curve: AUC = 95.7%) than MRI alone (AUC = 85.1%) or fPSA alone (AUC = 78.1%), but not than MRSI alone (94.5%). In the transitional zone, the model was less accurate (AUC = 84.4%). The association (p = 0.005) between MRSI and Gleason score was significant in both zones. Conclusions: MRSI is useful in patients with elevated tPSA. High-grade MRSI lesions call for repeated biopsies. Men with negative MRSI may forgo further biopsies because a significantly high Gleason lesion is very unlikely

Pathology and immune response of the blue mussel (Mytilus edulis L.) after an exposure to the harmful dinoflagellate Prorocentrum minimum

The harmful dinoflagellate Prorocentrum minimum has different effects upon various species of grazing bivalves, and these effects also vary with life-history stage. Possible effects of this dinoflagellate upon mussels have not been reported; therefore, experiments exposing adult blue mussels, Mytilus edulis, to P. minimum were conducted. Mussels were exposed to cultures of toxic P. minimum or benign Rhodomonas sp. in glass aquaria. After a short period of acclimation, samples were collected on day 0 (before the exposure) and after 3, 6, and 9 days of continuous-exposure experiment. Hemolymph was extracted for flow-cytometric analyses of hemocyte, immune-response functions, and soft tissues were excised for histopathology. Mussels responded to P. minimum exposure with diapedesis of hemocytes into the intestine, presumably to isolate P. minimum cells within the gut, thereby minimizing damage to other tissues. This immune response appeared to have been sustained throughout the 9-day exposure period, as circulating hemocytes retained hematological and functional properties. Bacteria proliferated in the intestines of the P. minimum-exposed mussels. Hemocytes within the intestine appeared to be either overwhelmed by the large number of bacteria or fully occupied in the encapsulating response to P. minimum cells; when hemocytes reached the intestine lumina, they underwent apoptosis and bacterial degradation. This experiment demonstrated that M. edulis is affected by ingestion of toxic P. minimum; however, the specific responses observed in the blue mussel differed from those reported for other bivalve species. This finding highlights the need to study effects of HABs on different bivalve species, rather than inferring that results from one species reflect the exposure responses of all bivalves.

Diseño de una plataforma de lectura, test y caracterización para ROICs de rayos X basada en el microprocesador LEON

Aquest project es situa dins del marc del CNM-IMB (CSIC). Consisteix en el disseny d'un sistema de biòpsia mamaria en temps real. Per realitzar aquest sistema s’ha dissenyat una plataforma de lectura, test y caracterització pel ROIC Medipix2 que es basa en el microprocessador LEON3 i és programat sobre una FPGA.

Abundància i persistència de Faecalibacteriun prausnitzii en la Malaltia de Crohn

Faecalibacterium prausnitzii és un del bacteris anaeròbis més abundants entre les espècies comensals del tracte intestinal humà sa. Aquesta espècie és una de les principals productores de butirat a l'intestí (que és la principal font d’energia per als colonòcits), però també s'ha suggerit que pot produir compostos antiinflamatoris i intervenir en la regulació de vàries rutes metabòliques de l’hoste. F. prausnitzii és un bacteri difícil de cultivar, ja que presenta una elevada sensibilitat a l'oxigen i presenta uns requeriments nutricionals molt exigents, el que ha compromès considerablement el nombre d’estudis basats en aïllats d’aquesta espècie. No obstant això, en els darrers anys l’interès en aquest bacteri està creixent ja que s’ha evidenciat que les poblacions de F. prausnitzii són variables en diferents grups d'edat i que es veuen reduïdes en certs trastorns intestinals com ara la malaltia inflamatòria intestinal i el càncer colorectal. L’objectiu d'aquest treball ha estat aprofundir en el rol que desenvolupa F. prausnitzii com un dels principals bacteris comensals del tracte intestinal humà. En primer lloc, s’ha dissenyat, optimitzat i validat un nou mètode molecular per determinar l’abundància d’aquesta espècie en mostres del tracte gastrointesinal, i s’ha demostrat la seva possible aplicació per ajudar al diagnòstic de la malaltia de Crohn. En segon lloc, s’ha dut a terme un estudi de les característiques filogenètiques i fenotípiques dels aïllats de F. Prausnitzii disponibles en l'actualitat a fi de coneixre’n millor la diversitat genètica i fenotípica i dilucidar quins factors són crucials en comprometre la població d’aquest bacteri en un intestí malalt. L’anàlisi de les soques ha revelat que F. prausnitzii inclou Principalment dos filogrups, nutricionalment versàtils i molt sensibles a canvis en les condicions ecològiques que pot patir l’intestí de l’hoste sota certes malalties intestinals. En conclusió, els resultat obtinguts en aquest estudi mostren que F. prausnitzii és una espècie ben establerta al còlon sa, amb una elvada versatilitat metabòlica ja que és capaç d’ interactuar amb carbohidrats de diferent estructura i complexitat. S’ha corroborat que aquest microorganisme seria un bon indicador de salut intestinal ja que la seva abundància es veu significativament reduida en pacients amb malaltia de Crohn. Aquests resultats concorden amb els obtinguts per proves fisiològiques que mostren una elevada sensibilitat de l’espècie a determinades condicions relacionades amb malalties intestinals. Estudis futurs s’orientaran a comprendre millor quins factros derrivats de la interacció amb l’hoste també determinen la persistència d’aquesta espècie en un intestí sa o malalt.

Mejora diagnóstica de hepatopatías de afectación difusa mediante técnicas de inteligencia artificial

The automatic diagnostic discrimination is an application of artificial intelligence techniques that can solve clinical cases based on imaging. Diffuse liver diseases are diseases of wide prominence in the population and insidious course, yet early in its progression. Early and effective diagnosis is necessary because many of these diseases progress to cirrhosis and liver cancer. The usual technique of choice for accurate diagnosis is liver biopsy, an invasive and not without incompatibilities one. It is proposed in this project an alternative non-invasive and free of contraindications method based on liver ultrasonography. The images are digitized and then analyzed using statistical techniques and analysis of texture. The results are validated from the pathology report. Finally, we apply artificial intelligence techniques as Fuzzy k-Means or Support Vector Machines and compare its significance to the analysis Statistics and the report of the clinician. The results show that this technique is significantly valid and a promising alternative as a noninvasive diagnostic chronic liver disease from diffuse involvement. Artificial Intelligence classifying techniques significantly improve the diagnosing discrimination compared to other statistics.

“Unmixing” Tissue Gene Expression Signatures from Tumor Biopsies

Emergent molecular measurement methods, such as DNA microarray, qRTPCR, andmany others, offer tremendous promise for the personalized treatment of cancer. Thesetechnologies measure the amount of specific proteins, RNA, DNA or other moleculartargets from tumor specimens with the goal of “fingerprinting” individual cancers. Tumorspecimens are heterogeneous; an individual specimen typically contains unknownamounts of multiple tissues types. Thus, the measured molecular concentrations resultfrom an unknown mixture of tissue types, and must be normalized to account for thecomposition of the mixture.For example, a breast tumor biopsy may contain normal, dysplastic and cancerousepithelial cells, as well as stromal components (fatty and connective tissue) and bloodand lymphatic vessels. Our diagnostic interest focuses solely on the dysplastic andcancerous epithelial cells. The remaining tissue components serve to “contaminate”the signal of interest. The proportion of each of the tissue components changes asa function of patient characteristics (e.g., age), and varies spatially across the tumorregion. Because each of the tissue components produces a different molecular signature,and the amount of each tissue type is specimen dependent, we must estimate the tissuecomposition of the specimen, and adjust the molecular signal for this composition.Using the idea of a chemical mass balance, we consider the total measured concentrationsto be a weighted sum of the individual tissue signatures, where weightsare determined by the relative amounts of the different tissue types. We develop acompositional source apportionment model to estimate the relative amounts of tissuecomponents in a tumor specimen. We then use these estimates to infer the tissuespecificconcentrations of key molecular targets for sub-typing individual tumors. Weanticipate these specific measurements will greatly improve our ability to discriminatebetween different classes of tumors, and allow more precise matching of each patient tothe appropriate treatment