Polymorphisms in NFkB, PXR, LXR and risk of colorectal cancer in a prospective study of Danes

<p>Abstract</p> <p>Background</p> <p>Transcription factors and nuclear receptors constitute a link between exposure to heterocyclic amines and polycyclic aromatic hydrocarbons from meat and tobacco smoke and colorectal cancer (CRC) risk. The aim of this study was to investigate if polymorphisms in nuclear factor kappa-B, pregnane X receptor, and liver X receptor were associated with risk of CRC, and to investigate possible interactions with lifestyle factors such as smoking, meat consumption, and NSAID use.</p> <p>Methods</p> <p>The polymorphisms nuclear factor kappa-B (<it>NFkB, NFKB1) </it>-94 insertion/deletion ATTG (rs28362491), pregnane X receptor (<it>PXR, NR1I2) </it>A-24381C (rs1523127), C8055T (rs2276707), A7635G (rs6785049), liver X receptor (<it>LXR-β, NR1H3) </it>C-rs1405655T, T-rs2695121C were assessed together with lifestyle factors in a nested case-cohort study of 378 CRC cases and 756 random participants from the Danish prospective Diet, Cancer and Health study of 57,053 persons.</p> <p>Results</p> <p>Carriers of <it>NFkB </it>-94deletion were at 1.45-fold higher risk of CRC than homozygous carriers of the insertion allele (incidence rate ratio (IRR) = 1.45, 95% confidence interval (95% CI): 1.10-1.92). There was interaction between this polymorphism and intake of red and processed meat in relation to CRC risk. Carriers of <it>NFkB </it>-94deletion were at 3% increased risk pr 25 gram meat per day (95% CI: 0.98-1.09) whereas homozygous carriers of the insertion were not at increased risk (p for interaction = 0.03). <it>PXR </it>and <it>LXR </it>polymorphisms were not associated with CRC risk. There was no interaction between use of nonsteroid antiinflammatory drugs (NSAID) or smoking status and <it>NFkB</it>, <it>PXR </it>or <it>LXR </it>polymorphisms.</p> <p>Conclusions</p> <p>A polymorphism in <it>NFkB </it>was associated with CRC risk and there was interaction between this polymorphism and meat intake in relation to CRC risk. This study suggests a role for NFkB in CRC aetiology.</p

Transcriptional Analysis of Arabidopsis thaliana Response to Lima Bean Volatiles

Exposure of plants to herbivore-induced plant volatiles (HIPVs) alters their resistance to herbivores. However, the whole-genome transcriptional responses of treated plants remain unknown, and the signal pathways that produce HIPVs are also unclear.Time course patterns of the gene expression of Arabidopsis thaliana exposed to Lima bean volatiles were examined using Affymetrix ATH1 genome arrays. Results showed that A. thaliana received and responded to leafminer-induced volatiles from Lima beans through up-regulation of genes related to the ethylene (ET) and jasmonic acid pathways. Time course analysis revealed strong and partly qualitative differences in the responses between exposure at 24 and that at 48 h. Further experiments using either A. thaliana ET mutant ein2-1 or A. thaliana jasmonic acid mutant coi1-2 indicated that both pathways are involved in the volatile response process but that the ET pathway is indispensable for detecting volatiles. Moreover, transcriptional comparisons showed that plant responses to larval feeding do not merely magnify the volatile response process. Finally, (Z)-3-hexen-ol, ocimene, (3E)-4,8-dimethyl-1,3,7-nonatriene, and (3E,7E)-4,8,12-trimethyl-1,3,7,11-tridecatetraene triggered responses in A. thaliana similar to those induced by the entire suite of Lima bean volatiles after 24 and 48 h.This study shows that the transcriptional responses of plants to HIPVs become stronger as treatment time increases and that ET signals are critical during this process

Differential Allocation of Constitutive and Induced Chemical Defenses in Pine Tree Juveniles: A Test of the Optimal Defense Theory

Optimal defense theory (ODT) predicts that the within-plant quantitative allocation of defenses is not random, but driven by the potential relative contribution of particular plant tissues to overall fitness. These predictions have been poorly tested on long-lived woody plants. We explored the allocation of constitutive and methyl-jasmonate (MJ) inducible chemical defenses in six half-sib families of Pinus radiata juveniles. Specifically, we studied the quantitative allocation of resin and polyphenolics (the two major secondary chemicals in pine trees) to tissues with contrasting fitness value (stem phloem, stem xylem and needles) across three parts of the plants (basal, middle and apical upper part), using nitrogen concentration as a proxy of tissue value. Concentration of nitrogen in the phloem, xylem and needles was found to be greater higher up the plant. As predicted by the ODT, the same pattern was found for the concentration of non-volatile resin in the stem. However, in leaf tissues the concentrations of both resin and total phenolics were greater towards the base of the plant. Two weeks after MJ application, the concentrations of nitrogen in the phloem, resin in the stem and total phenolics in the needles increased by roughly 25% compared with the control plants, inducibility was similar across all plant parts, and families differed in the inducibility of resin compounds in the stem. In contrast, no significant changes were observed either for phenolics in the stems, or for resin in the needles after MJ application. Concentration of resin in the phloem was double that in the xylem and MJ-inducible, with inducibility being greater towards the base of the stem. In contrast, resin in the xylem was not MJ-inducible and increased in concentration higher up the plant. The pattern of inducibility by MJ-signaling in juvenile P. radiata is tissue, chemical-defense and plant-part specific, and is genetically variable

Root-emitted volatile organic compounds: can they mediate belowground plant-plant interactions?

peer reviewedBackground Aboveground, plants release volatile organic compounds (VOCs) that act as chemical signals between neighbouring plants. It is now well documented that VOCs emitted by the roots in the plant rhizosphere also play important ecological roles in the soil ecosystem, notably in plant defence because they are involved in interactions between plants, phytophagous pests and organisms of the third trophic level. The roles played by root-emitted VOCs in between- and within-plant signalling, however, are still poorly documented in the scientific literature. Scope Given that (1) plants release volatile cues mediating plant-plant interactions aboveground, (2) roots can detect the chemical signals originating from their neighbours, and (3) roots release VOCs involved in biotic interactions belowground, the aim of this paper is to discuss the roles of VOCs in between- and within-plant signalling belowground. We also highlight the technical challenges associated with the analysis of root-emitted VOCs and the design of experiments targeting volatile-mediated root-root interactions. Conclusions We conclude that root-root interactions mediated by volatile cues deserve more research attention and that both the analytical tools and methods developed to study the ecological roles played by VOCs in interplant signalling aboveground can be adapted to focus on the roles played by root-emitted VOCs in between- and within-plant signalling

Bumble bee parasite strains vary in resistance to phytochemicals

Nectar and pollen contain diverse phytochemicals that can reduce disease in pollinators. However, prior studies showed variable effects of nectar chemicals on infection, which could reflect variable phytochemical resistance among parasite strains. Inter-strain variation in resistance could influence evolutionary interactions between plants, pollinators, and pollinator disease, but testing direct effects of phytochemicals on parasites requires elimination of variation between bees. Using cell cultures of the bumble bee parasite Crithidia bombi, we determined (1) growth-inhibiting effects of nine floral phytochemicals and (2) variation in phytochemical resistance among four parasite strains. C. bombi growth was unaffected by naturally occurring concentrations of the known antitrypanosomal phenolics gallic acid, caffeic acid, and chlorogenic acid. However, C. bombi growth was inhibited by anabasine, eugenol, and thymol. Strains varied >3-fold in phytochemical resistance, suggesting that selection for phytochemical resistance could drive parasite evolution. Inhibitory concentrations of thymol (4.53-22.2 ppm) were similar to concentrations in Thymus vulgaris nectar (mean 5.2 ppm). Exposure of C. bombi to naturally occurring levels of phytochemicals—either within bees or during parasite transmission via flowers—could influence infection in nature. Flowers that produce antiparasitic phytochemical, including thymol, could potentially reduce infection in Bombus populations, thereby counteracting a possible contributor to pollinator decline

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Abstract: Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers

Profiles of Volatile Biomarkers Detect Tuberculosis from Skin

Tuberculosis (TB) is an infectious disease that threatens >10 million people annually. Despite advances in TB diagnostics, patients continue to receive an insufficient diagnosis as TB symptoms are not specific. Many existing biodiagnostic tests are slow, have low clinical performance, and can be unsuitable for resource-limited settings. According to the World Health Organization (WHO), a rapid, sputum-free, and cost-effective triage test for real-time detection of TB is urgently needed. This article reports on a new diagnostic pathway enabling a noninvasive, fast, and highly accurate way of detecting TB. The approach relies on TB-specific volatile organic compounds (VOCs) that are detected and quantified from the skin headspace. A specifically designed nanomaterial-based sensors array translates these findings into a point-of-care diagnosis by discriminating between active pulmonary TB patients and controls with sensitivity above 90%. This fulfills the WHO's triage test requirements and poses the potential to become a TB triage test

Caratterizzazione di alcuni siti della rete accelerometrica nazionale al fine di individuare la risposta sismica locale

Le indagini geotecniche finalizzate alla stima della risposta sismica locale si limitano molto spesso ai primi 30 m di profondità, valore che è diventato uno standard per la classificazione delle caratteristiche di un sito. Negli anni ’90 Borcherdt (1994) e Martin e Dobry (1994) suggerirono 30 m come la profondità standard di indagine per la verifica delle strutture. Boore et al. (1993, 1994, 1997) e Boore e Joyner (1997) basarono le regressioni per il calcolo delle leggi predittive del moto del suolo sullo stesso parametro. Nel 1997 negli Stati Uniti il National Earthquake Hazards Reduction Program (NEHRP) nella stesura delle norme tecniche per le costruzioni in zona sismica (FEMA, 1997) utilizza per la prima volta il parametro Vs30 come indice per la classificazione dei suoli, con lo scopo di definirne l’amplificazione. Le norme tecniche per le costruzioni in zona sismica della comunità Europea, EC8 (ENV, 1998) ente da dati provenienti dagli Stati Uniti occidentali e, utilizzando dati provenienti dalla stessa regione, Wald & Mori (2000) segnalano che le VS,30 non sono molto ben correlate con l’entità dell’amplificazione, in quanto esiste una forte dispersione dei dati. La figura 1.1 mostra il rapporto tra le amplificazioni, mediate sull’intervallo di frequenza compreso tra 3-5 Hz. raccomandano lo stesso parametro per suddividere i terreni, anche se le classi differiscono in parte dalla classificazione NEHRP. Infine, anche in Italia, le Norme Tecniche per le Costruzioni (Normative Tecniche per le Costruzioni, Gazzetta Ufficiale del 14/01/2008) adottano la stessa suddivisione dei terreni adottata dall’EC8.L’attendibilità della velocità delle onde di taglio nei primi 30 m (VS,30) come estimatore della risposta sismica di un sito, in termini di frequenza e amplificazione, è tuttavia molto discussa.Innanzitutto il parametro è stato ricavato unicamente da dati provenienti dagli Stati Uniti occidentali e, utilizzando dati provenienti dalla stessa regione, Wald & Mori (2000) segnalano che le Vs30 non sono molto ben correlate con l’entità dell’amplificazione, in quanto esiste una forte dispersione dei dati. La figura 1.1 mostra il rapporto tra le amplificazioni, mediate sull’intervallo di frequenza compreso tra 3-5 Hz. I valori risultano effettivamente molto dispersi, ma questo risultato può essere spiegato col fatto che non tutte le classi di sito hanno frequenza di risonanza compreso in questo intervallo di frequenza. Perciò per alcuni siti la media è stata calcolata nell’intorno della frequenza di risonanza (sulle amplificazioni massime), mentre per altri è stata calcolata sulle armoniche superiori, che hanno ampiezze minori. Lavori eseguiti con dati provenienti da altre regioni sottolineano come le Vs30 non siano buoni estimatori per la predizione di amplificazioni in bacini profondi (Park & Hashash, 2004), per la stima delle amplificazioni in altre regioni (Stewart et al., 2003) o in presenza di inversioni di velocità (Di Giacomo et al., 2005). Uno studio recente, eseguito su dati giapponesi (Zhao et al., 2006) si è evitato l’uso della Vs30 perché strati spessi di terreno rigido posti sopra il substrato roccioso amplificano il moto di lungo periodo, mentre gli strati sottili e soffici tendono ad amplificare il moto di corto periodo: ciò significa che la VS,30 non può rappresentare il periodo predominante del sito, dato che si basa solo sugli strati superficiali. Secondo Mucciarelli e Gallipoli (2006) il confronto tra l’amplificazione sismica al sito e la Vs30 mostra che quest’ultimo parametro non è adeguato per spiegare gli effetti di sito osservati in Italia a causa delle situazioni geologiche particolari che sono diffuse nel nostro paese. La figura 1.2 mostra la distribuzione dell’ampiezza rispetto alla classe di sito, in cui si vede che le classi sono mal discriminate e le mediane delle classi A e B (indicate dalla linea nera) sono uguali. È però necessario notare che questo grafico è stato costruito utilizzando le ampiezze ricavate col metodo dei rapporti spettrali H/V, ma in letteratura (Bard, 1999) è dimostrato che tali rapporti spettrali permettono di stimare la frequenza di risonanza, ma falliscono nella stima del valore di amplificazione. In particolare la Vs30 sottostima gli effetti locali ai siti con inversione di velocità e li sovrastima in siti con bacini profondi. La Vs30 sembra fornire dei buoni risultati solo in siti che abbiano un profilo di velocità monotono, crescente con la profondità e un forte contrasto di impedenza nella prima decina di metri. Questo studio si propone di verificare l’attendibilità della velocità delle onde di taglio valutate nei primi 30 m come estimatore della risposta sismica di un sito. Per questo scopo sono state selezionate 45 stazioni della Rete Accelerometrica Nazionale, di cui si conoscono i profili stratigrafici e i profili di velocità delle onde di taglio e di compressione. Inoltre sono state raccolte le registrazioni strong motion relative ai terremoti registrati da queste stazioni. Gli effetti di sito sono stati valutati in due modi: · Le registrazioni sono state utilizzate per calcolare i rapporti spettrali H/V per ricavare la frequenza fondamentale propria di ciascun sito (f0) e il relativo valore di amplificazione; · I profili di velocità delle onde di taglio sono serviti per ricavare il modello teorico monodimensionale per il calcolo della funzione di trasferimento del sito, eseguito per mezzo del modello proposto da Haskell e Thomson (Haskell, 1953, Thomson 1950), da cui ricavare la f0 e l’amplificazione. I valori ottenuti con i due metodi sono stati poi confrontati per verificare la congruenza dei risultati. I profili di velocità hanno permesso di classificare le stazioni utilizzando la velocità media delle onde di taglio nei primi 30 m (Vs30), secondo la normativa italiana. I risultati ottenuti dalla valutazione della risposta di ciascun sito, espressi in termini di frequenza fondamentale e amplificazione, sono stati correlati con la rispettiva classe di sito per verificare l’attendibilità del parametro delle Vs30 come estimatore degli effetti di sito