Notes

Chemometric evaluation of captured Farfantepenaeus notialis, Pérez-Farfante 1968 (Crustacea: Penaeidae).
This work hints to a series of metabolic traits that can be exploited to increase sucrose catabolic rates and bioprocess efficiency.
In many countries, lockdown measures were implemented to curb the COVID-19 pandemic. This situation may have an impact on mental health, tobacco smoking, and alcohol consumption. The aim of this research report is therefore to describe changes in tobacco and alcohol consumption in the general French population during the first two weeks of lockdown and identify any associated factors.

Self-reported changes in smoking and alcohol consumption following the lockdown implemented in France on March 17, 2020 were collected from 2,003 respondents aged 18 years and older in an online cross-sectional survey carried out from March 30 to April 1, 2020. Anxiety and depression levels were assessed using the Hospital Anxiety and Depression Scale.

Among current smokers, 26.7% reported an increase in their tobacco consumption since lockdown and 18.6% reported a decrease, while it remained stable for 54.7%. The increase in tobacco consumption was associated with an age of 18-34 years, a high level of education, and anxiety. Among alcohol drinkers, 10.7% reported an increase in their alcohol consumption since lockdown and 24.4% reported a decrease, while it remained stable for 64.8%. The increase in alcohol consumption was associated with an age of 18-49 years, living in cities of more than 100,000 inhabitants, a high socio-professional category, and a depressive mood.

The national lockdown implemented in France during the COVID-19 pandemic influenced tobacco and alcohol consumption in different ways according to sociodemographic group and mental health.
The national lockdown implemented in France during the COVID-19 pandemic influenced tobacco and alcohol consumption in different ways according to sociodemographic group and mental health.The use of DNA methylation signatures to predict chronological age and aging rate is of interest in many fields, including disease prevention and treatment, forensics, and anti-aging medicine. Although a large number of methylation markers are significantly associated with age, most age-prediction methods use a few markers selected based on either previously published studies or datasets containing methylation information. Here, we implemented reproducing kernel Hilbert spaces (RKHS) regression and a ridge regression model in a Bayesian framework that utilized phenotypic and methylation profiles simultaneously to predict chronological age. We used over 450,000 CpG sites from the whole blood of a large cohort of 4,409 human individuals with a range of 10-101 years of age. Models were fitted using adjusted and un-adjusted methylation measurements for cell heterogeneity. Un-adjusted methylation scores delivered a significantly higher prediction accuracy than adjusted methylation data, with a correlation between age and predicted age of 0.98 and a root-mean-square error (RMSE) of 3.54 years in un-adjusted data, and 0.90 (correlation) and 7.16 (RMSE) years in adjusted data. Reducing the number of predictors (CpG sites) through subset selection improved predictive power with a correlation of 0.98 and an RMSE of 2.98 years in the RKHS model. We found distinct global methylation patterns, with a significant increase in the proportion of methylated cytosines in CpG islands and a decreased proportion in other CpG types, including CpG shore, shelf, and open sea (p  less then  5e-06). Epigenetic drift seemed to be a widespread phenomenon as more than 97% of the age-associated methylation sites had heteroscedasticity. Apparent methylomic aging rate (AMAR) had a sex-specific pattern, with an increase in AMAR in females with age related to males.Fiscal tools are recommended as a part of a comprehensive approach to diet-related disease prevention, however, widespread adoption has been hampered by political and economic resistance. The aim of this study was to support an advocacy coalition in the Solomon Islands with evidence-based consideration of the development and implementation of a tax on sugar-sweetened beverages (SSBs), sensitive to local contextual factors and constraints. In 2017-19, we conducted a prospective policy analysis, including document analysis and qualitative interviews with key stakeholders to elicit policy-relevant data, a quantitative analysis to frame the policy problem and examine appropriate implementation mechanisms, and economic modelling to outline the potential benefits associated with different proposed policy solutions. Applying an action-oriented approach to prospective policy analysis enabled us as researchers to engage in the needs of a 'pro-SSB tax' advocacy coalition and prepare them to exploit policy opportunities created by the meeting of policy 'streams'. Our analysis demonstrated that SSBs were being consumed in relatively large amounts, especially by children, and that there were likely to be substantial health and economic benefits associated with a SSB tax. Increasing fiscal uncertainty for key sectors had created an environment prime for the advocacy coalition to pursue the adoption of an SSB tax. However, we found that policymakers face a number of practical challenges in securing effective adoption and implementation of global food policy recommendations, including that it is difficult to demonstrate the potential efficacy of interventions in the local context. The development of a policy package based on local factors resulted in a policy product that was likely to be more persuasive for local policymakers and policy leaders. We suggest that there is substantial scope for researchers to more effectively engage with policy advocates to inform and shape real-world health policy improvements.
Although recurrence and de novo formation of arteriovenous malformations (AVMs) have been reported following complete resection, the occurrence of hemorrhage in the same location of an AVM with no detectable lesion (lesion-negative hemorrhage) has not been described after microsurgery.

To characterize the incidence and properties of lesion-negative hemorrhage following complete microsurgical resection.

A prospectively maintained registry of AVM patients seen at our institution between 1990 and 2017 was used. Microsurgically treated patients were selected, and the incidence of a lesion-negative hemorrhage was calculated and described with a Kaplan-Meier curve. Baseline characteristics as well as functional outcome at last follow-up were compared between patients with and without a lesion-negative hemorrhage.

From a total of 789 AVM patients, 619 (79%) were treated, and 210 out of 619 patients (34%) underwent microsurgery with or without preoperative embolization or radiosurgery. The microsurgically treated cohort was followed up for a mean of 6.1± 3.0 yr after surgery with 5 (2.4%) patients experiencing postresection lesion-negative hemorrhage (3.9 per 1000 person-years) at an average of 8.6± 9.0 yr following surgery. Follow-up angiograms after hemorrhage (up to 2 mo posthemorrhage) confirmed the absence of a recurrent or de novo AVM in all cases. All patients with a lesion-negative hemorrhage initially presented with rupture before resection (Fisher P=.066; log-rank P=.057). The occurrence of a lesion-negative hemorrhage was significantly associated with worse modified Rankin scale scores at last follow-up (P=.031).

A lesion-negative hemorrhage can occur following complete microsurgical resection in up to 2.4% of patients. Exploration of possible underlying causes is warranted.
A lesion-negative hemorrhage can occur following complete microsurgical resection in up to 2.4% of patients. Exploration of possible underlying causes is warranted.
Molecular characterization of glioma has implications for prognosis, treatment planning, and prediction of treatment response. Current histopathology is limited by intratumoral heterogeneity and variability in detection methods. Advances in computational techniques have led to interest in mining quantitative imaging features to noninvasively detect genetic mutations.

To evaluate the diagnostic accuracy of machine learning (ML) models in molecular subtyping gliomas on preoperative magnetic resonance imaging (MRI).

A systematic search was performed following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines to identify studies up to April 1, 2020. Methodological quality of studies was assessed using the Quality Assessment for Diagnostic Accuracy Studies (QUADAS)-2. Diagnostic performance estimates were obtained using a bivariate model and heterogeneity was explored using metaregression.

Forty-four original articles were included. The pooled sensitivity and specificitioma. Optimized ML models could lead to a noninvasive, objective tool that captures molecular information important for clinical decision making. NAMPT activator Future studies should use multicenter data, external validation and investigate clinical feasibility of ML models.
Acute respiratory infections have been associated with a transient increase in cardiovascular risk. However, whether such an association persists beyond 1 month and the potential modifying effect of cardiovascular risk factors on such an association are less well established.

The China Kadoorie Biobank enrolled 512 726 participants aged 30-79 years from 10 areas across China during 2004-2008. By the end of 2017, a total of 5444 participants with new-onset ischaemic heart disease (IHD) and 4846 with ischaemic stroke (IS) who also had at least a record of hospitalization for pneumonia during follow-up were included. We used a self-controlled case-series method and calculated the age- and season-adjusted relative incidences (RIs) and 95% confidence intervals (CIs) for ischaemic cardiovascular disease (CVD) after pneumonia.

The risk of ischaemic CVD increased during days 1-3 after pneumonia hospitalization, with an RI (95% CI) of 4.24 (2.92-6.15) for IHD and 1.85 (1.02-3.35) for IS. The risk gradually reduced with longer duration since pneumonia hospitalization but remained elevated until days 92-365 for IHD (1.23, 1.12-1.35) and days 29-91 for IS (1.25, 1.05-1.48). Pre-existing cardiovascular risk factors amplified the associations between pneumonia and ischaemic CVD risks, such as chronic obstructive pulmonary disease for both IHD and IS, and diabetes and smoking for IHD (all Pinteraction < 0.05). Besides, the risk of ischaemic CVD was also higher among the participants aged ≥70 years (Pinteraction < 0.001 for IHD and 0.033 for IS).

Among middle-aged and older Chinese adults, pneumonia hospitalization was associated with both short- and long-term increases in ischaemic CVD risk for ≤1 year.
Among middle-aged and older Chinese adults, pneumonia hospitalization was associated with both short- and long-term increases in ischaemic CVD risk for ≤1 year.
Little is known about the long-term outcome of children treated for severe acute malnutrition (SAM) after nutritional rehabilitation.

To explore the association between SAM in childhood, noncommunicable diseases (NCDs), and low human capital in adulthood.

We identified 524 adults (median age 22 y) who were treated for SAM during childhood in Eastern Democratic Republic of Congo between 1988 and 2007. They were compared with 407 community unexposed age- and sex-matched subjects with no history of SAM. The variables of interest were cardiometabolic risk markers for NCDs and human capital. For the comparison, we used linear and logistic regressions to estimate the association between SAM in childhood and the risk of NCDs and ordinal logistic regression for the human capital.

Compared with unexposed subjects, the exposed participants had a higher waist circumference [1.2 (0.02, 2.3) cm; P=0.015], and a larger waist-to-height ratio [0.01 (0.01, 0.02) cm; P<0.001]. On the other hand, they had a smaller hip circumference [-1.
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