Metabolically defined body size and body shape phenotypes and risk of postmenopausal breast cancer in the European Prospective Investigation into Cancer and Nutrition.

BACKGROUND: Excess body fatness and hyperinsulinemia are both associated with an increased risk of postmenopausal breast cancer. However, whether women with high body fatness but normal insulin levels or those with normal body fatness and high levels of insulin are at elevated risk of breast cancer is not known. We investigated the associations of metabolically defined body size and shape phenotypes with the risk of postmenopausal breast cancer in a nested case-control study within the European Prospective Investigation into Cancer and Nutrition. METHODS: Concentrations of C-peptide-a marker for insulin secretion-were measured at inclusion prior to cancer diagnosis in serum from 610 incident postmenopausal breast cancer cases and 1130 matched controls. C-peptide concentrations among the control participants were used to define metabolically healthy (MH; in first tertile) and metabolically unhealthy (MU; >1st tertile) status. We created four metabolic health/body size phenotype categories by combining the metabolic health definitions with normal weight (NW; BMI < 25 kg/m2 , or WC < 80 cm, or WHR < 0.8) and overweight or obese (OW/OB; BMI ≥ 25 kg/m2 , or WC ≥ 80 cm, or WHR ≥ 0.8) status for each of the three anthropometric measures separately: (1) MHNW, (2) MHOW/OB, (3) MUNW, and (4) MUOW/OB. Conditional logistic regression was used to compute odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Women classified as MUOW/OB were at higher risk of postmenopausal breast cancer compared to MHNW women considering BMI (OR = 1.58, 95% CI = 1.14-2.19) and WC (OR = 1.51, 95% CI = 1.09-2.08) cut points and there was also a suggestive increased risk for the WHR (OR = 1.29, 95% CI = 0.94-1.77) definition. Conversely, women with the MHOW/OB and MUNW were not at statistically significant elevated risk of postmenopausal breast cancer risk compared to MHNW women. CONCLUSION: These findings suggest that being overweight or obese and metabolically unhealthy raises risk of postmenopausal breast cancer while overweight or obese women with normal insulin levels are not at higher risk. Additional research should consider the combined utility of anthropometric measures with metabolic parameters in predicting breast cancer risk.

Prevalence of methanogens and associated factors in patients with irritable bowel syndrome and healthy controls in a Southeastern Mexican population.

INTRODUCTION: Methane (CH4) is an inert gas produced by colonic anaerobes and has been associated with different intestinal diseases, including irritable bowel syndrome (IBS). According to geographic region, the prevalence of methanogens varies, being higher in Africa (80%) and lower in the United States (35-40%). In Mexico, the prevalence of methanogens is unknown. AIM: To evaluate the prevalence of CH4 producers and associated factors in a group of patients with IBS and controls in a Mexican population. MATERIALS AND METHODS: A baseline fasting measurement of alveolar H2 and CH4 gas was carried out, by gas chromatography (stationary phase), in consecutive patients diagnosed with IBS and a control group. Subjects with baseline levels of H2 of 0 ppm and CH4 ≥ 5 ppm were classified as methanogenic. RESULTS: A total of 132 controls (53.8% women) and 67 patients with IBS (76% women) were included. The overall prevalence (n = 199) of methanogenic subjects was 38% (n = 76) (95% CI: 0.31-0.45) and they had a greater prevalence of overweight/obesity (56.5 vs 39.8%, P = .028). The prevalence of methanogens in the healthy controls was 41.6% (95% CI: 0.33-0.49), whereas, in the patients with IBS, it was 31.4% (n = 21, 71% IBS-C and 29% IBS-M). CONCLUSIONS: The prevalence of methanogens in our study on a Mexican population was comparable to that reported in other populations and was associated with overweight/obesity. One-third of the patients with IBS presented with methanogens. Said microorganisms were particularlyassociated with the constipation-predominant IBS subtype.

The Adolescent Problem Gambling Prevalence Associated with Leisure-Time Activities and Risky Behaviors in Southern Spain.

Gambling addiction is increasing and is becoming a public health concern due to the rise of gambling-related harms affecting the youth. Previous studies suggest a strong link between problem gambling (PG) and substance use and psychosocial and familial factors. Our main objective was to analyze the association between PG and factors like sport, leisure-time activities, and risk-taking behaviors in adolescents. A survey on substance use and addictive behaviors was performed in 2019 on a representative sample of 2240 subjects (14-18 years) from the Southern Spain Region. Data variables like socio-demographic characteristics, sport, leisure and free time activities, family environment, PG (Lie-Bet Scale), compulsive internet use (CIUS Scale), and consumption of alcohol and cannabis were collected using a standardized questionnaire. Weighted PG prevalence was estimated in either sex, as well as the differences between various levels of PG using chi-square tests. Crude and adjusted weighted logistic regression models were used to identify predictors associated with PG. The prevalence of PG was associated with shopping frequency, compulsive internet use, cannabis use in the previous month, higher family economic status, and having a homemaker father which increased the likelihood of PG. On the contrary, cultural hobbies such as playing an instrument, painting, singing, and writing, and having a working mother were inversely associated with PG. Our results suggest that encouraging participation in creative activities along with supervised shopping and monitoring compulsive internet use and cannabis consumption may contribute some protection against adolescent PG. Supplementary Information: The online version contains supplementary material available at 10.1007/s11469-022-00950-7.

Chromatographic fingerprint-based analysis of extracts of green tea, lemon balm and linden: II. Simulation of chromatograms using global models.

Medicinal plants contain a large variety of chemical compounds in highly variable concentrations, so the quality control of these materials is especially complex. With this purpose, regulatory institutions have accepted chromatographic fingerprints as a valid tool to perform the analyses. In order to improve the results, separation conditions that maximise the number of detected peaks in these chromatograms are needed. This work reports the extension of a simulation strategy, based on global retention models previously developed for selected compounds, to all detected peaks in the full chromatogram. Global models contain characteristic parameters for each component in the sample, while other parameters are common to all components and describe the combined effects of column and solvent. The approach begins by detecting and measuring automatically the position of all peaks in a chromatogram, obtained preferably with the slowest gradient. Then, the retention time for each detected component is fitted to find the corresponding solute parameter in the global model, which leads to the best agreement with the measured experimental value. The process is completed by developing bandwidth models for the selected compounds used to build the global retention model based on gradient data, which are applied to all peaks in the chromatogram. The usefulness of the simulation approach is demonstrated by predicting chromatographic fingerprints for three medicinal plants with specific separation problems (green tea, lemon balm and linden), using several multi-linear gradients that lead to problematic predictions.

Attachment and Survival of Salmonella enterica and Listeria monocytogenes on Tomatoes (Solanum lycopersicum) as Affected by Relative Humidity, Temperature, and Storage Time.

ABSTRACT: Tomatoes (Solanum lycopersicum) are one of the most commonly consumed fruits worldwide. The fruit can become contaminated with Salmonella and Listeria monocytogenes at various stages of the production and supply chain, and these pathogens may survive under various storage conditions. The effects of relative humidity, temperature, and duration of storage on the attachment and survival of both pathogens on the surface of tomatoes were investigated. Fresh whole Roma tomatoes were inoculated with a cocktail of Salmonella or L. monocytogenes strains and stored at 5, 12, 25, 30, or 35°C for up to 10 days. Every day during storage, relative humidity and temperature were measured and tomatoes were removed to enumerate pathogens cells that were loosely attached (LA; cells were detached from the tomato surface by rinsing) and strongly attached (SA; sonication was required to detach cells from the tomato surface). The attachment strength (SR) was calculated to express the proportion of surviving SA cells on the tomato surface. The initial levels of Salmonella and L. monocytogenes on the tomato surface after inoculation were 6.6 and 6.5 log CFU per tomato for LA cells and 5.1 and 5.6 log CFU per tomato for SA cells, respectively. For both pathogens, the LA levels were higher (P < 0.05) than the SA levels. The LA and SA levels differed significantly as a function of temperature, relative humidity, and duration of storage. The SR for Salmonella was affected by storage time but not temperature, whereas the SR for L. monocytogenes was affected by storage time and temperature and relative humidity (P < 0.05). An understanding of the attachment and survival of Salmonella and L. monocytogenes on tomatoes stored under various temperature conditions may be useful for preventing or reducing the establishment of pathogens and for designing improved decontamination methods.

Angiographic and Clinical Profile of Patients With COVID-19 Referred for Coronary Angiography During SARS-CoV-2 Outbreak: Results From a Collaborative, European, Multicenter Registry.

Data regarding angiographic characteristics, clinical profile, and inhospital outcomes of patients with coronavirus disease 2019 (COVID-19) referred for coronary angiography (CAG) are scarce. This is an observational study analyzing confirmed patients with COVID-19 referred for CAG from 10 European centers. We included 57 patients (mean age: 66 ± 15 years, 82% male) , of whom 18% had previous myocardial infarction (MI) and 29% had renal insufficiency and chronic pulmonary disease. ST-segment elevation myocardial infarction (STEMI) was the most frequent indication for CAG (58%). Coronavirus disease 2019 was confirmed after CAG in 86% and classified as mild in 49%, with 21% fully asymptomatic. A culprit lesion was identified in 79% and high thrombus burden in 42%; 7% had stent thrombosis. At 40 days follow-up, 16 (28%) patients experienced a major adverse cardiovascular event (MACE): 12 deaths (92% noncardiac), 1 MI, 2 stent thrombosis, and 1 stroke. In an European multicenter registry, patients with confirmed COVID-19 infection referred for CAG during the first wave of the severe acute respiratory syndrome coronavirus 2 pandemic presented mostly with STEMI and were predominantly males with comorbidities. Severity of COVID-19 was in general noncritical and 21% were asymptomatic at the time of CAG. Culprit coronary lesions with high thrombus burden were frequently identified, with a rate of stent thrombosis of 7%. The incidence of MACE at 40 days was high (28%), mostly due to noncardiac death.

Interprofessional Near-Peer Mentoring Teams Enhance Cancer Research Training: Sustainable Approaches for Biomedical Workforce Development of Historically Underrepresented Students.

A cancer research training program explored different approaches for staffing their in-person and virtual programs for high school students. The inclusion of undergraduate near-peer mentors had a universal benefit when implemented across in-person and virtual training programs of one- and ten-week durations. Benefits are described for four stakeholder groups: the high school trainees, program staff, scientist partners, and peer mentors themselves. Peer mentors described that their involvement enhanced their own professional development and, for some, drove a new interest in cancer research. Scientist partners described that peer mentors helped translate their work in the virtual environment for high school students. High school trainees reported their sessions with peer mentors to be one of their favorite parts of the program. Interprofessional peer mentors were highly relatable to students and modeled communication and paths in biomedical research. Staff reported that peer mentors supported student engagement during community shadowing sessions, allowing staff to focus on developing the shadowing experiences with partners. The benefit of including peer mentors was substantial from all viewpoints explored. Their intensive inclusion in cancer research training programs supports sustainability and capacity building in biomedical workforce development.

Update on smoking. Alternatives for the management of patients with cardiovascular risk / Puesta al día del tabaquismo. Alternativas para el manejo del paciente con riesgo cardiovascular

Smoking is the leading cause of morbidity and mortality worldwide and is clearly involved as a cardiovascular risk factor. Smoking has different effects on the cardiovascular system, such as a decrease in nitric oxide, increased inflammatory response, increased adhesion of pro-atherogenic molecules, lipid disturbances, generation of oxidative stress and endothelial dysfunction as can be shown in different biomarkers modifications. Despite the aids currently available for smoking cessation, many smokers are unwilling or unable to achieve this. So alternative tools with potential harm reduction, such as non-combustion tobacco products, could be an option due to the better results they had shown on cardiovascular risk factors. This has led these devices to be taken into account as a risk-modifying tobacco product according to the FDA. (AU)

El tabaquismo es la principal causa de morbimortalidad a nivel mundial y tiene una implicación clara como factor de riesgo cardiovascular. El tabaco posee distintos efectos a nivel cardiovascular, como son una disminución del óxido nítrico, aumento de la respuesta inflamatoria, aumento de la adhesión de moléculas proaterogénicas, modificaciones lipídicas, generación de estrés oxidativo y disfunción endotelial que puede verse reflejada en distintos biomarcadores. A pesar de las ayudas que se poseen actualmente para la cesación tabáquica, parte de la población consumidora no quiere o no lo puede conseguir y es por ello que herramientas alternativas como los productos de reducción del daño y el tabaco por calentamiento podrían ser una opción gracias a los mejores resultados que muestran sobre los factores de riesgo cardiovascular comparado con el cigarrillo convencional. Algo que ha llevado a estos dispositivos para ser considerados como producto de tabaco modificador del riesgo, según la FDA. (AU)

Testing experimental designs in liquid chromatography (II): Influence of the design geometry on the prediction performance of retention models.

In liquid chromatography, the reliability of predictions carried out with retention models depends critically on the quality of the training experimental design. The search of the best design is more complex when gradient runs are used instead of isocratic experiments. In Part I of this work (JCA 1624 (2020) 461180), a general methodology based on the error propagation theory was developed and validated for assessing the quality of training designs involving gradients. The treatment relates the mathematical properties of a retention model with the geometry of the training designs and their subsequent predictions. In that work, only five usual designs were considered. Part II investigates in detail the effects on predictions when the features of the training design (number and distribution of the experiments, initial and final modifier content, gradient slope(s), and location of gradient nodes and pulses) are varied systematically. Several groups of related designs containing one or more isocratic steps, linear or multi-linear gradients, or mixed isocratic/gradient runs, among others (in total 38 designs) were evaluated. Box and whiskers and triple plots of expected relative uncertainties were used to evidence the differences in prediction performance. The purpose was to give recommendations to construct designs with good prediction performance. The best designs sample (considering all runs) concentrations as diverse as possible, at any gradient time.

Update on smoking. Alternatives for the management of patients with cardiovascular risk.

Smoking is the leading cause of morbidity and mortality worldwide and is clearly involved as a cardiovascular risk factor. Smoking has different effects on the cardiovascular system, such as a decrease in nitric oxide, increased inflammatory response, increased adhesion of pro-atherogenic molecules, lipid disturbances, generation of oxidative stress and endothelial dysfunction as can be shown in different biomarkers modifications. Despite the aids currently available for smoking cessation, many smokers are unwilling or unable to achieve this. So alternative tools with potential harm reduction, such as non-combustion tobacco products, could be an option due to the better results they had shown on cardiovascular risk factors. This has led these devices to be taken into account as a risk-modifying tobacco product according to the FDA.

Global retention models and their application to the prediction of chromatographic fingerprints.

The resolution of samples containing unknown compounds of different nature, or without standards available, as is the case of chromatographic fingerprints, is still a challenge. Possibly, the most problematic aspect that prevents systematic method development is finding models that describe without bias the retention behaviour of the compounds in the samples. In this work, the use of global models (able to describe the whole sample) is proposed as an alternative to the use of individual models for each solute. Global models contain parameters that are specific for each solute, while other parameters ‒related to the column and solvent‒ are common for all solutes. A special regression procedure is presented for the construction of global models, which are applied to predict highly complex chromatograms, such as chromatographic fingerprints, for diverse experimental conditions in isocratic and gradient elution. Another interesting application is the prediction of molecular properties, such as log Po/w, from the specific solute parameters of the global models. The examined adapted models are based on the equations proposed by Snyder, Schoenmakers, Neue and Kuss, Jandera, and Bosch Rosés to describe the retention. In all cases, the predictive capability was very satisfactory. Two cases of study were considered: chromatograms of camomile extracts analysed using acetonitrile gradients, and a set of 145 known compounds in a wide range of structures and functionalities, eluted isocratically with acetonitrile/water mobile phases.

Kinetic modeling of the thermal destruction of lewisite.

Organoarsenic compounds have been widely used as pesticides and chemical agents. Lewisite (C2H2AsCl3), a blister agent, is a model of such compounds. A comprehensive detailed kinetic mechanism of combustion has been developed based on theoretical investigations. A benchmark allowed to select an appropriate methodology able to deal with such a heavy atom as As with precision and reasonable computational times. The density functional theory (DFT) method ωB97X-D was found to give the best results on target data. Core pseudo potentials were used for arsenic with the cc-pVTZ-PP basis set, whereas Def2-TZVP basis set was used for other atoms. The mechanism of the decomposition of lewisite includes all reactions involved in thermal decomposition and combustion mechanisms, including molecular and radical intermediates, and the decomposition reactions of small species containing arsenic. Simulation shows that lewisite decomposition starts around 700 K and is very little sensitive to the presence of oxygen since the radical reactions involve mainly very reactive Cl-atoms as chain carriers. The main reaction paths have been derived. As experimentally observed, AsCl3 is the main arsenic product produced almost in one-to-one yield, whereas acetylene is an important hydrocarbon product in pyrolysis. In combustion, several arsenic oxides, eventually chlorinated, are produced, which toxicity need to be assessed.

Testing experimental designs in liquid chromatography (I): Development and validation of a method for the comprehensive inspection of experimental designs.

The basis of interpretive optimisation in liquid chromatography is the prediction of resolution, from appropriate solute retention models. The reliability of the process depends critically on the quality of the experimental design. This work develops, validates and applies a general methodology aimed to evaluate the quality of any training experimental design, which will be applied in Part II to design optimisation. The methodology is based on the systematic evaluation of the uncertainties associated to the prediction of retention times in comprehensive scans of both isocratic and gradient experimental conditions. It is able to evaluate comprehensively experimental designs of arbitrary complexity. Five common training experimental designs were used to model the retention, according to the Linear Solvent Strength (LSS) and the Neue-Kuss (NK) equations, using a set of 14 sulphonamides of different polarity. The results are presented in terms of relative uncertainties in predictions, which provide significant and interpretable results. The magnitude of such uncertainties, together with the systematic, coherent and logical changes observed at increasing solute hydrophobicity, give support to the results. The NK model gave smaller errors and unbiased predictions, whereas the LSS model gave rise to lack of fit. Isocratic training designs, which are widely accepted as the most informative, are confirmed as the best. As a general conclusion, gradients are predicted with intrinsically smaller uncertainties, independently of the training experimental design. In addition, gradients are more insensitive than isocratic predictions with regard to the type of training design used. Isocratic predictions deteriorate quickly with mobile phase composition. This explains the better performance of gradient predictions, even with biased models.

Temperature-dependent infrared ellipsometry of Mo-doped VO2 thin films across the insulator to metal transition.

We present a spectroscopic ellipsometry study of Mo-doped VO2 thin films deposited on silicon substrates for the mid-infrared range. The dielectric functions and conductivity were extracted from analytical fittings of Ψ and Δ ellipsometric angles showing a strong dependence on the dopant concentration and the temperature. Insulator-to-metal transition (IMT) temperature is found to decrease linearly with increasing doping level. A correction to the classical Drude model (termed Drude-Smith) has been shown to provide excellent fits to the experimental measurements of dielectric constants of doped/undoped films and the extracted parameters offer an adequate explanation for the IMT based on the carriers backscattering across the percolation transition. The smoother IMT observed in the hysteresis loops as the doping concentration is increased, is explained by charge density accumulation, which we quantify through the integral of optical conductivity. In addition, we describe the physics behind a localized Fano resonance that has not yet been demonstrated and explained in the literature for doped/undoped VO2 films.

Classification of olive leaves and pulp extracts by comprehensive two-dimensional liquid chromatography of polyphenolic fingerprints.

The development of a new comprehensive two-dimensional liquid chromatographic method is described, to obtain the profiles of polyphenolic compounds present in olive (Olea europaea L.) leaves and pulps from different genetic origin. Optimisation of the stationary phase nature, particle size, column length and internal diameter, as well as other separation conditions, was performed. Along the study, three stationary phases (C18, PFP and phenyl) in the first dimension (1D), and five (C18, amide, cyano, phenyl and PFP) in the second dimension (2D) were combined to obtain the maximal number of resolved peaks. The optimised method successfully characterised the presence of 26and 29 common polyphenols in olive leaves and pulp extracts, respectively. Peak volume ratios were used to develop linear discriminant analysis models able to distinguish olive leaves and pulp extracts among seven cultivars from several Spanish regions. The results demonstrate that polyphenolic profiles were characteristic of each cultivar.

Intragastric pH effect of 20mg of levo-pantoprazole versus 40mg of racemic pantoprazole the first seven days of treatment in patients with gastroesophageal reflux disease. / Efecto sobre el pH intragástrico de 20mg de levopantoprazol versus 40mg de pantoprazol racémico durante los primeros 7 días de tratamiento en pacientes con enfermedad por reflujo gastroesofágico.

INTRODUCTION/AIM: Levo-pantoprazole, the S-enantiomer of pantoprazole, is a proton pump inhibitor that has been shown in animal studies to be faster and stronger than its racemic formulation. There are no studies on humans and therefore our aim was to evaluate the effects of levo-pantoprazole versus racemic pantoprazole on intragastric pH. MATERIALS AND METHODS: A randomized controlled study was conducted on patients with erosive gastroesophageal reflux disease that were given 20mg of levo-pantoprazole (n = 15) versus 40mg of racemic pantoprazole (n = 15) for 7 days. Baseline and end-of-treatment symptom evaluation and intragastric pH measurement were carried out. RESULTS: There were no differences between the groups in the baseline evaluations. From 40 to 115min after the first dose of levo-pantoprazole, the mean intragastric pH was higher, compared with that of racemic pantoprazole (p < 0.05). After one week, levo-pantoprazole and racemic pantoprazole significantly reduced intragastric acid production and its esophageal exposure (p < 0.05). Even though there was no statistically significant difference, a larger number of patients that received levo-pantoprazole stated that their heartburn improved within the first 3 days. CONCLUSIONS: The S-enantiomer of pantoprazole (levo-pantoprazole) had a faster and stronger effect with respect to acid suppression, compared with its racemic formulation. Although the effect on symptoms was faster with levo-pantoprazole, occurring within the first days of treatment, it was equivalent to that of the racemate at one week of treatment.