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Keratin (K) intermediate filaments are attached to desmosomes and constitute the orchestrators of epithelial cell and tissue architecture. While their relevance in the epidermis is well recognized, our review focuses on their emerging importance in internal epithelia. The significance of keratin-desmosome scaffolds (KDSs) in the intestine is highlighted by transgenic mouse models and individuals with inflammatory bowel disease who display profound KDS alterations. In lung, high K8 expression defines a transitional cell subset during regeneration, and K8 variants are associated with idiopathic pulmonary fibrosis. Inherited variants in desmosomal proteins are overrepresented in idiopathic lung fibrosis, and familiar eosinophilic esophagitis. K18 serum fragments are established hepatocellular injury markers that correlate with the extent of histological inflammation. K17 expression is modified in multiple tumors, and K17 levels might be of prognostic relevance. These data should spur further studies on biological roles of these versatile tissue protectors and efforts on their therapeutic targeting. [ABSTRACT FROM AUTHOR]

Highlights • The mixture design investigated the extraction efficiency of the phenolic compounds. • Mixtures of moderately polar solvents were highly efficient in the extraction. • Addition of water to organic solvents improved the extraction efficiency. • Rosmarinic acid and myricetin are the major compounds in Brazilian chia seeds. Abstract This study investigated the efficiency of the extraction of phenolic compounds from seeds of chia, Salvia hispanica L. utilizing the statistical tool of mixture planning, simplex-lattice design. The solvents used were acetone, ethanol and water and the responses analyzed were total phenolic content (TPC), antioxidant activity by the capture of the free radical DPPH and ferric reduction ability (FRAP). Moderately polar mixtures were highly efficient to extract the antioxidant phenolic compounds. The best results were obtained for the water-acetone (1/3–2/3) binary mixture, presenting TPC, DPPP and FRAP values of 58.44 mg GAE/g, 250.20 μmol TE/g and 720.15 μmol TE/g, respectively. The best ternary mixture was water-ethanol-acetone (1/6–1/6–2/3), with 60.96 mg GAE/g, 380.53 μmol TE/g and 990.15 μmol TE/g, respectively. The phenolic profile showed that the acids rosmarinic, caffeic, salicylic and the flavonoids myricetin and quercetin are the compounds that most contribute to the elevated antioxidant activity. [ABSTRACT FROM AUTHOR]

Several analytical methods are available to evaluate virgin olive oil (VOO) minor compounds; however, multi-class methodologies are yet rarely studied. Herewith, LC-MS and GC–MS platforms were used to develop two methods capable of simultaneously determine more than 40 compounds belonging to different VOO minor chemical classes within a single run. A non-selective and highly efficient liquid-liquid extraction protocol was optimized for VOO minor components isolation. The separation and detection conditions were adjusted for determining phenolic and triterpenic compounds, free fatty acids and tocopherols by LC-MS, plus sterols and hydrocarbons by GC–MS. Chromatographic analysis times were 31 and 50 min, respectively. A comparative assessment of both methods in terms of analytical performance, easiness, cost and adequacy to the analysis of each class was carried out. The emergence of this kind of multi-class analytical methodologies greatly increases throughput and reduces cost, while avoiding the complexity and redundancy of single-chemical class determinations. [ABSTRACT FROM AUTHOR]

Crushing is a key step during olive oil extraction. Among commercial crushers, the hammer mill is the most widely used due to its robustness and high throughput. In the present work, the impact of hammer mill rotor speed on extraction yield and overall quality of super-high-density Arbosana olive oils were assessed in an industrial facility. Our results show that increasing the rotor speed from 2400 rpm to 3600 rpm led to a rise in oil yield of 1.2%, while conserving quality parameters. Sensory analysis showed more pungency with increased rotation speed, while others attributes were unaffected. Volatile compounds showed little variation with the differences in crusher speed; however, total phenols content, two relevant secoiridoids, and triterpenoids levels increased with rotor speed. Hammer mill rotor speed is a processing variable that can be tuned to increase the extraction efficiency and modulate the chemical composition of extra virgin olive oil. [ABSTRACT FROM AUTHOR]

Introduction: Human type 1 diabetic pregnancy is associated with placental structural and hemodynamic abnormalities. We hypothesized that in rat fetuses of hyperglycemic dams, placental and fetal blood flow velocity waveforms demonstrate compromised hemodynamics when compared to control fetuses, and these hemodynamic parameters correlate with placental structural abnormalities at near term gestation.Methods: Streptozotocin-induced maternal hyperglycemia group comprised 10 dams with 107 fetuses and the control group 20 dams with 219 fetuses. Doppler-ultrasonographic examinations were performed at gestational days 13-14, 16-17, and 19-21. After the last examination, placentas were collected for morphologic, gene expression, and cytokine analysis.Results: Umbilical artery (UA), descending aorta (DAO), and ductus venosus (DV) pulsatility indices (PI) were significantly higher at each study point in maternal hyperglycemia compared to controls. Placental size, glycogen storages, venous thrombosis formation, and fluid accumulation were increased in maternal hyperglycemia. Epidermal growth factor receptor (Edgfrb), platelet derived growth factor receptor beta polypeptide (Pdgfrb), and tumor necrosis factor receptor superfamily, member 12α (Tnfrsf12α) expressions were decreased. Interleukin (IL) -2 and -4 concentrations were decreased, and IL-1beta levels were increased in maternal hyperglycemia. UA PIs correlated positively with DV PIV, DAO PI, fluid accumulation, and glycogen storages. UA PIs correlated negatively with IL-4, Edgfrb, and Pdgfrb.Discussion: In maternal hyperglycemia, placental and fetal hemodynamics were compromised during the last trimester of pregnancy compared to normoglycemic pregnancies. Placental structural, metabolic, and growth related gene expression, and inflammatory marker abnormalities were associated with hemodynamic compromise. [ABSTRACT FROM AUTHOR]

Obesity and white adipose tissue (WAT) inflammation are associated with enhanced aromatization in women, but little is known about the regulation of aromatase ( CYP19A1 ) gene expression in male WAT. We investigated the impact of weight gain and WAT inflammation on the regulation of CYP19A1 in males, by utilizing the hARO-Luc aromatase reporter mouse model containing a >100-kb 5′-region of the human CYP19A1 gene. We show that hARO-Luc reporter activity is enhanced in WAT of mice with increased adiposity and inflammation. Dexamethasone and TNFα, as well as forskolin and phorbol 12-myristate 13-acetate, upregulate hARO-Luc activity, suggesting the involvement of promoters I.4 and I.3/II. Furthermore, we show that diet enriched with antioxidative plant polyphenols attenuates WAT inflammation and hARO-Luc activity in obese males. In conclusion, our data suggest that obesity-associated WAT inflammation leads to increased peripheral CYP19A1 expression in males, and that polyphenol-enriched diet may have the potential to attenuate excessive aromatization in WAT of obese men. [ABSTRACT FROM AUTHOR]

Chromatographic techniques such as GC and HPLC are traditionally used for the analysis and classification of olive oil, while NMR is another powerful technique. In this paper we used NMR for the first time to classify olive oil produced by four cultivars, namely 'Arbequina', 'Arbosana', 'Koroneiki', and 'Sikitita', planted in super-high-density frames in California, United States. We compared the results with the targeted analysis of fatty acids and triglycerides obtained by GC-FID and UHPLC-CAD, respectively. All three techniques were able to distinguish between cultivars, with fatty acids from GC-FID generating the best models. GC-FID require time-consuming sample preparation; both GC-FID and UHPLC-CAD require lengthy analysis time and protocols for different classes of compounds, while NMR is rapid and able to conduct a simultaneous broad-spectrum analysis of compounds, which led to the discovery of more biomarkers. In addition, NMR was in a good agreement with GC-FID for the determination of fatty acids, as found by Bland-Altman analysis, although in several cases it was not able to distinguish among individual fatty acids. [Display omitted] • NMR is a rapid and robust tool for the targeted and untargeted analysis of olive oil. • NMR was in a good agreement with GC-FID for the determination of fatty acids. • NMR, GC-FID, and UHPLC-CAD were able to distinguish between olive oil cultivars. • Fatty acids from GC-FID generated the best models. [ABSTRACT FROM AUTHOR]

Abstract: UV–Vis spectrometry and chemometric techniques were used to classify aqueous extracts of Brazilian ground roast coffee with respect to type (caffeinated/decaffeinated) and conservation state (expired and non-expired shelf-life). Two classification methods were compared: soft independent modelling of class analogy (SIMCA) and linear discriminant analysis (LDA) with wavelength selection by the successive projections algorithm (SPA). The best results were obtained by SPA–LDA, which correctly classified all test samples. The classification accuracy of this model remained high (96%) even after the introduction of artificial spectral noise. These results suggest that UV–Vis spectrometry and SPA–LDA modelling provide a promising alternative for assessment of conservation state and decaffeination condition of coffee samples. [Copyright &y& Elsevier]

• Keratins are key players in the integrity and homeostasis of the colonic epithelium • Keratin 8 is the single most important keratin in the colon • Keratin 8 levels modulate colonocyte ion transport and cell proliferation • Keratins are structural components but also dynamic bioactive molecules • Cancer diagnostics use keratin patterns to track down the origin of metastasis Keratin intermediate filament proteins are major cytoskeletal components of the mammalian simple layered columnar epithelium in the gastrointestinal tract. Human colon crypt epithelial cells express keratins 18, 19 and 20 as the major type I keratins, and keratin 8 as the type II keratin. Keratin expression patterns vary between species, and mouse colonocytes express keratin 7 as a second type II keratin. Colonic keratin patterns change during cell differentiation, such that K20 increases in the more differentiated crypt cells closer to the central lumen. Keratins provide a structural and mechanical scaffold to support cellular stability, integrity and stress protection in this rapidly regenerating tissue. They participate in central colonocyte processes including barrier function, ion transport, differentiation, proliferation and inflammatory signaling. The cell-specific keratin compositions in different epithelial tissues has allowed for the utilization of keratin-based diagnostic methods. Since the keratin expression pattern in tumors often resembles that in the primary tissue, it can be used to recognize metastases of colonic origin. This review focuses on recent findings on the biological functions of mammalian colon epithelial keratins obtained from pivotal in vivo models. We also discuss the diagnostic value of keratins in chronic colonic disease and known keratin alterations in colon pathologies. This review describes the biochemical properties of keratins and their molecular actions in colonic epithelial cells and highlights diagnostic data in colorectal cancer and inflammatory bowel disease patients, which may facilitate the recognition of disease subtypes and the establishment of personal therapies in the future. [ABSTRACT FROM AUTHOR]

For the first time, a multi-class GC–MS method was applied to perform the quantitative-profiling of the minor fraction of VOOs (considering >40 compounds) in a single run. This comprehensive methodology has demonstrated a remarkable profiling ability on five groups of compounds (phenolic and triterpenic compounds, tocopherols, sterols and free fatty acids) with wide range of polarities/volatilities and chemical entities. After the complete analytical validation of the method, 32 VOO samples from eight different cultivars (some of them very scarcely studied before) were analyzed and the quantitative results were subjected to both non-supervised and supervised multivariate statistics for testing the capability of the determined VOO minor compounds to discriminate the varietal origin of the samples. Typical compositional profiles were defined for each cultivar and promising potential varietal markers were pointed out. The models built to discriminate Cayon and Maurino samples from the rest exhibited the best quality parameters. The relative levels of tocopherols together with characteristic concentration of luteolin, β- sitosterol and tyrosol were, for instance, the most specific features of Cayon VOOs. Unlabelled Image • A GC–MS multi-class method was applied to the analysis of virgin olive oil samples. • Comprehensive quantitative characterization of samples was achieved. • >40 compounds (5 different chemical classes) were determined in a single run. • PLS–DA models were established to discriminate among the 8 studied olive cultivars. • Potential varietal markers for each cultivar were pointed out. [ABSTRACT FROM AUTHOR]

Highlights • Simple and low-cost methods for the detection of coffee adulterations. • Coffee adulteration detected with LDA aided by variable selection on voltammetric data. • Amount of coffee impurities determined by MLR preceded by variable selection. • Voltammetric electronic tongue performed with a single voltammetric sensor. Abstract This work presents a simple and low-cost analytical approach to detect adulterations in ground roasted coffee by using voltammetry and chemometrics. The voltammogram of a coffee extract (prepared as simulating a home-made coffee cup) obtained with a single working electrode is submitted to pattern recognition analysis preceded by variable selection to detect the addition of coffee husks and sticks (adulterated/unadulterated), or evaluate the shelf-life condition (expired/unexpired). Two pattern recognition methods were tested: linear discriminant analysis (LDA) with variable selection by successive projections algorithm (SPA), or genetic algorithm (GA); and partial least squares discriminant analysis (PLS-DA). Both LDA models presented satisfactory results. The voltammograms were also evaluated for the quantitative determination of the percentage of impurities in ground roasted coffees. PLS and multivariate linear regression (MLR) preceded by variable selection with SPA or GA were evaluated. An excellent predictive power (RMSEP = 0.05%) was obtained with MLR aided by GA. [ABSTRACT FROM AUTHOR]

Background While reduction of DUP (Duration of Untreated Psychosis) is a key goal in early intervention strategies, the predictive value of DUP on outcome has been questioned. We planned this study in order to explore the impact of three different definition of “treatment initiation” on the predictive value of DUP on outcome in an early psychosis sample. Methods 221 early psychosis patients aged 18–35 were followed-up prospectively over 36 months. DUP was measured using three definitions for treatment onset: Initiation of antipsychotic medication (DUP1); engagement in a specialized programme (DUP2) and combination of engagement in a specialized programme and adherence to medication (DUP3). Results 10% of patients never reached criteria for DUP3 and therefore were never adequately treated over the 36-month period of care. While DUP1 and DUP2 had a limited predictive value on outcome, DUP3, based on a more restrictive definition for treatment onset, was a better predictor of positive and negative symptoms, as well as functional outcome at 12, 24 and 36 months. Globally, DUP3 explained 2 to 5 times more of the variance than DUP1 and DUP2, with effect sizes falling in the medium range according to Cohen. Conclusions The limited predictive value of DUP on outcome in previous studies may be linked to problems of definitions that do not take adherence to treatment into account. While they need replication, our results suggest effort to reduce DUP should continue and aim both at early detection and development of engagement strategies. [ABSTRACT FROM AUTHOR]

The Ultra-High Risk (UHR) for psychosis group is known to be heterogeneous with diverse outcomes. This study aimed to: 1. Identify subclasses of UHR individuals based on trajectories of symptomatic and functional change over time, 2. Identify predictors of these trajectories. A sample of 304 UHR individuals participating in the Neurapro trial were followed over an average of 40 months. All participants received cognitive-behavioural case management (CBCM). Symptomatic and functional profiles were investigated using latent class growth analysis. Multinomial regression was employed to investigate predictors of classes. Identified trajectories showed mostly parallel slopes (i.e. improving symptoms/functioning over time), which were primarily distinct regarding the severity of symptomatology/level of functioning at baseline (i.e. the intercept). Higher symptomatic/lower functioning classes were predicted by higher substance use, older age, female gender, and lower cognitive functioning. No divergent trajectories were identified as all classes improved over time. This may reflect effective treatment through CBCM, natural illness course, or effective engagement with mental health services. Nonetheless, classes highest in symptoms/lowest in functioning still showed considerable impairment during follow-up, highlighting the need for targeted intervention in these subgroups. The study emphasizes the need for more clinical attention directed towards UHR patients being female or using substances. • In 304 individuals at risk for psychosis, different trajectories were identified. • All trajectories showed symptomatic and functional improvements over time. • Subgroups with similar trajectories differed in severity of impairments at baseline. • Substance use predicted severe risk, depressive and general symptom trajectories. • Further predictors were being female, older age, and lower cognitive functioning. [ABSTRACT FROM AUTHOR]