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Introduction: Hypertension is a prevalent condition among the elderly, significantly contributing to the burden of cardiovascular disease and related complications. This study examined how depression and perfectionism influence hypertension in older adults. It also explored how worry, tolerance for ambiguity, and problem-solving skills might influence this relationship. Methods: Researchers recruited 192 participants with hypertension from a health center in Khoy city, Urmia, Iran. Participants completed questionnaires that assessed depression, perfectionism, worry, ambiguity tolerance, and problem-solving skills. Statistical methods were used to analyze the data and identify relationships between these factors and hypertension. Results: Depression, perfectionism, worry, and ambiguity tolerance were all significantly associated with hypertension. Interestingly, problem-solving skills were not linked to blood pressure. Further analysis revealed that worry played a reinforcing role in the link between depression/perfectionism and hypertension, while ambiguity tolerance had a protective effect. In other words, higher worry levels strengthened the association between depression/perfectionism and high blood pressure, while greater tolerance for ambiguity lessened this association. Conclusion: These findings suggest that emotional factors like worry and intolerance for ambiguity can significantly impact blood pressure in older adults. Therefore, managing these emotions alongside depression and perfectionistic tendencies may be crucial for controlling hypertension. Corresponding Author: Masood Ghorbanalipour View Orcid in Profile You can search for this author in PubMed Google Scholar Profile

Abstract The sequence of a carboxy-terminal of the β-lactam sensor-transducer protein (BlaR-CTD) from Bacillus licheniformis ATCC14580 was extracted from US7745193B2 patent and expressed in E. coli using pColdI vector as a soluble His-tag recombinant protein. In this study, several excipients were used to improve the stability of recombinant BlaR-CTD and obtain the optimal formulation for this protein using response surface methodology (RSM)/ Central Composite Design (CCD). Total protein concentration was measured by UV spectroscopy and the Bradford test. A total of 7 various factors were designed using four different excipients including Glycerol, Sucrose, Triton x-100, and Tween-20, and three different buffers like Tris, Borate, and PBS. By obtaining suitable excipients and buffer i.e. glycerol and sucrose, pH ranging from 7 to 9 were evaluated. The pH 7.62, glycerol 15.35%, and sucrose 152.52 mM were determined as the most suitable for improving the thermal stability of recombinant BlaR-CTD.

This paper presents DIVIDED SELF metaphor analysis conducted drawing from the discourse of suicidal notes. The suicide notes represent a distinct genre because of its typical rhetorical structure and communicative purpose. In particular, the internal conflict experienced by the authors of suicidal notes makes this material suitable for an analysis of the metaphorical conceptualization of one’s own DIVIDED SELF. The research aims at modeling the conceptualization of one’s own conflicting SELF by the authors of the suicide notes and proposing approach to the metaphorical conceptualizations of the DIVIDED SELF as metaphtonymy, as well as describing their potential for representing the individual’s internal conflict. First, the cognitive framing of the inner SELF of the authors, divided into the instances of the Subject and the Self, was investigated. Second, in order to analyze metaphtonymic connections between the individual’s inner conceptualizations, the agentivity of the inner SELF conceptualizations was compared. Third, a metaphtonymic configuration of SELF conceptualizations was modeled and the potential of metaphorical framing of extreme psychological states through the metaphthonymic representation of the SELF described. The material of the study consisted of a corpus with a total size of 164,483 lexical units (the CEASE corpus combined with a self-assembled corpus of suicide notes). As demonstrated by the analysis, the aspect of the Self mainly acts as a fragmentation of the author in the DIVIDED SELF metaphor. That is, the study allowed to model metaphorical conceptualizations metaphtonymically and structure the stages of the formation of metaphtonymy through the visual illustrations.

Abstract Background There are insufficient data on continuous glucose monitoring (CGM) in nonintensive insulin therapy patients. Using CGM and the recommended CGM targets, we wanted to evaluate low-premix insulin analogue therapy (biphasic aspart/NovoMix 30 and biphasic lispro 25/Humalog Mix 25) in real-world type 2 diabetes patients for glycaemic efficacy and especially hypoglycaemia. Methods The prospective observational study was performed on 35 patients who were treated with a low-premixed insulin. We used the Dexcom G6 system for CGM (9.6 ± 1 days) to measure the clinically relevant CGM parameters: glycaemic variability (%CV), TBR (time below range) 13.9 mmol/l (250 mg/dl). We also assessed clinical and demographic characteristics, laboratory HbA1c, fasting blood glucose, peak postprandial glucose values, and the percentage of hypoglycaemia between 00:00 and 06:00. Results In our patients, the average ± SD age was 70.4 ± 9.2 years, diabetes duration 17.4 ± 7.1 years, 51% were females, average daily insulin dose was 46.4 units (80% received biphasic aspart). The average ± SD TIR was 62.1 ± 12.2%, TBR 13.9 mmol/l 6.4 ± 7.2% and %CV 29.9 ± 7.1%. The average time in hypoglycemia was 33.1 min daily in our patients (11.5 min in the level 2 range). In the older/high-risk population, the TBR/TIR/TAR/level 2 TAR targets were met in 40/80/77/80%, respectively. For the general T2D people, level 2 TBR/TBR/TIR/TAR/level 2 TAR would be met in 74/83/34/77/49%. Average fasting blood glucose was 8.0 ± 2.5 mmol/l (144 ± 45 mg/dl), BMI 31.3 ± 5.1 kg/m2, daily insulin dose 46.4 ± 12.1 units, HbA1c 57.4 ± 5.4 mmol/mol (7.4 ± 0.7%). The glycaemic variability goal was met in 80% (with 66% meeting the lower 33% CV goal). 17 ± 12% of hypoglycaemia was nocturnal. People with TBR > 4% were significantly older. Conclusions Most of our type 2 diabetes patients, treated with low-premixed insulin, did not meet the recommended TBR target for older/high-risk patients while meeting the TIR and TAR targets. Nevertheless, the time spent in (total and nocturnal) hypoglycemia was short. The study indicates that the general type 2 diabetes population targets would mostly be met for TBR and %CV in our patients but not the TIR and TAR targets. CGM appears to be a useful clinical tool in these patients.

Abstract B cell receptor (BCR) genes exposed to an antigen undergo somatic hypermutations and Darwinian antigen selection, generating a large BCR-antibody diversity. This process, known as B cell affinity maturation, increases antibody affinity, forming a specific B cell lineage that includes the unmutated ancestor and mutated variants. In a B cell lineage, cells with a higher antigen affinity will undergo clonal expansion, while those with a lower affinity will not proliferate and probably be eliminated. Therefore, cellular (genotype) abundance provides a valuable perspective on the ongoing evolutionary process. Phylogenetic tree inference is often used to reconstruct B cell lineage trees and represents the evolutionary dynamic of BCR affinity maturation. However, such methods should process B-cell population data derived from experimental sampling that might contain different cellular abundances. There are a few phylogenetic methods for tracing the evolutionary events occurring in B cell lineages; best-performing solutions are time-demanding and restricted to analysing a reduced number of sequences, while time-efficient methods do not consider cellular abundances. We propose ClonalTree, a low-complexity and accurate approach to construct B-cell lineage trees that incorporates genotype abundances into minimum spanning tree (MST) algorithms. Using both simulated and experimental data, we demonstrate that ClonalTree outperforms MST-based algorithms and achieves a comparable performance to a method that explores tree-generating space exhaustively. Furthermore, ClonalTree has a lower running time, being more convenient for building B-cell lineage trees from high-throughput BCR sequencing data, mainly in biomedical applications, where a lower computational time is appreciable. It is hundreds to thousands of times faster than exhaustive approaches, enabling the analysis of a large set of sequences within minutes or seconds and without loss of accuracy. The source code is freely available at github.com/julibinho/ClonalTree.

This study aims to describe the challenges and dilemmas in the gerabah craft business as a sub-sector creative industry. This study uses a qualitative approach with a case study method as a strategy of inquiry—primary data collection by in-depth interviews and observations. Meanwhile, secondary data was collected through document studies and analyzed using qualitative and in-depth literature studies. The results of this study indicate that pottery artisans in Kampung Lio, Kecamatan Plered, and Purwakarta have the opportunity to reach the digital market and develop a home industry which can be projected to become a pottery tourism village. However, these opportunities are difficult to reach because they are faced with several challenges, namely low level of education and surrender mentality, and limited financial capital make it difficult for them to develop.

BackgroundCancer cells activate different immune checkpoint (IC) pathways in order to evade immunosurveillance. Immunotherapies involving ICs either block or stimulate these pathways and enhance the efficiency of the immune system to recognize and attack cancer cells. In this way, the development of monoclonal antibodies (mAbs) targeting ICs has significant success in cancer treatment. Recently, a systematic description of the mechanisms of action (MOA) of the mAbs has been introduced in IMGT/mAb-DB, the IMGT® database dedicated to mAbs for therapeutic applications. The characterization of these antibodies provides a comprehensive understanding of how mAbs work in cancer.MethodsIn depth biocuration taking advantage of the abundant literature data as well as amino acid sequence analyses from mAbs managed in IMGT/2Dstructure-DB, the IMGT® protein database, allowed to define a standardized and consistent description of the MOA of mAbs targeting immune checkpoints in cancer therapy.ResultsA fine description and a standardized graphical representation of the MOA of selected mAbs are integrated within IMGT/mAb-DB highlighting two main mechanisms in cancer immunotherapy, either Blocking or Agonist. In both cases, the mAbs enhance cytotoxic T lymphocyte (CTL)-mediated anti-tumor immune response (Immunostimulant effect) against tumor cells. On the one hand, mAbs targeting co-inhibitory receptors may have a functional Fc region to increase anti-tumor activity by effector properties that deplete Treg cells (Fc-effector function effect) or may have limited FcγR binding to prevent Teff cells depletion and reduce adverse events. On the other hand, agonist mAbs targeting co-stimulatory receptors may bind to FcγRs, resulting in antibody crosslinking (FcγR crosslinking effect) and substantial agonism.ConclusionIn IMGT/mAb-DB, mAbs for cancer therapy are characterized by their chains, domains and sequence and by several therapeutic metadata, including their MOA. MOAs were recently included as a search criterion to query the database. IMGT® is continuing standardized work to describe the MOA of mAbs targeting additional immune checkpoints and novel molecules in cancer therapy, as well as expanding this study to other clinical domains.

Progress in the field of machine learning has enhanced the development of self-adjusting optical systems capable of autonomously adapting to changing environmental conditions. This study demonstrates the concept of self-adjusting optical systems and presents a new approach based on reinforcement learning methods. We integrated reinforcement learning algorithms into the setup for tuning the laser radiation into the fiber, as well as into the complex for controlling the laser-plasma source. That reduced the dispersion of the generated X-ray signal by 2–3 times through automatic adjustment of the position of the rotating copper target and completely eliminated the linear trend arising from the ablation of the target surface. The adjustment of the system was performed based on feedback signals obtained from the spectrometer, and the movement of the target was achieved using a neural network-controlled stepper motor. As feedback, the second harmonic of femtosecond laser radiation was used, the intensity of which has a square root dependence on the X-ray yield. The developed machine learning methodology allows the considered systems to optimize their performance and adapt in real time, leading to increased efficiency, accuracy, and reliability.

Social rights hold a distinct historic place in the Georgian constitutionalism. Chapter 13 of the 1921 Constitution of Georgia ‘socio-economic rights’ encompassed many progressive provisions such as norms on unemployment reduction, social assistance for persons with disabilities, labour rights and emphasized the necessity to guarantee these rights for national minorities. In conformity with this tradition, Article 5 of the modern Constitution declares Georgia a social state. This constitutional principle encompasses a wide array of progressive social objectives and lays the foundation for social rights under Chapter 2 of the Constitution. Despite their central role in the Georgian Constitution, the justiciability of social rights is linked with conceptual and practical difficulties. This article discusses the approach of the Constitutional Court of Georgia to social rights. With this purpose, the article reviews the case-law of the Court and concludes that it has developed bold standards in specific cases but its overall approach to social rights is restrained and cautious. In addition, the article analyses conceptual and practical issues that the Court encounters in its case-law on social rights and finds that the challenges identified by the Court pertain to the nature of social rights as well as the mandate and function of the Constitutional Court. These questions are not unique to the Georgian judicial reality and have been often raised in the theory of social rights and international practice alike. Accordingly, the article discusses these conceptual issues and offers theoretical and practical ways of overcoming them based on the practice from various jurisdictions.

The growing frequency and intensity of extreme weather events have placed cities at the forefront of the human, social, economic, and ecological impacts of climate change. Extreme heat, extended freeze, excessive precipitation, and/or prolong drought impacts neighborhoods disproportionately across heterogenous urban geographies. Underserved, underrepresented, and marginalized communities are more likely to bear the burden of increased exposure to adverse climate impacts while simultaneously facing power asymmetries in access to the policy and knowledge production process. Knowledge co-production is one framework that seeks to address this convergence of disproportionate climate impact exposure and disenfranchised communities. Co-production is increasingly used in sustainability and resilience research to ask questions and develop solutions with, by, and for those communities that are most impacted. By weaving research, planning, evaluation, and policy in an iterative cycle, knowledge and action can be more closely coupled. However, the practice of co-production often lacks reflexivity in ways that can transform the science and policy of urban resilience to address equity more directly. With this, we ask what kind of co-production mechanism encourage academic and non-academic partners to reflect and scrutinize their underlying assumptions, existing institutional arrangements, and practices? How can these efforts identify and acknowledge the contradictions of co-production to reduce climate impacts in vulnerable communities? This paper presents a framework for reflexive co-production and assesses three modes of co-production for urban resilience in Austin, Texas, USA. These include a multi-hazard risk mapping initiative, a resident-driven community indicator system for adaptive capacity, and a neighborhood household preparedness guide. We establish a set of functional and transformational criteria from which to evaluate co-production and assess each initiative across the criteria. We conclude with some recommendations that can advance reflexive co-production for urban resilience.

The adaptive B cell response is driven by the expansion, somatic hypermutation, and selection of B cell clonal lineages. A high number of clonal lineages in a B cell population indicates a highly diverse repertoire, while clonal size distribution and sequence diversity reflect antigen selective pressure. Identifying clonal lineages is fundamental to many repertoire studies, including repertoire comparisons, clonal tracking, and statistical analysis. Several methods have been developed to group sequences from high-throughput B cell repertoire data. Current methods use clustering algorithms to group clonally-related sequences based on their similarities or distances. Such approaches create groups by optimizing a single objective that typically minimizes intra-clonal distances. However, optimizing several objective functions can be advantageous and boost the algorithm convergence rate. Here we propose MobiLLe, a new method based on multi-objective clustering. Our approach requires V(D)J annotations to obtain the initial groups and iteratively applies two objective functions that optimize cohesion and separation within clonal lineages simultaneously. We show that our method greatly improves clonal lineage grouping on simulated benchmarks with varied mutation rates compared to other tools. When applied to experimental repertoires generated from high-throughput sequencing, its clustering results are comparable to the most performing tools and can reproduce the results of previous publications. The method based on multi-objective clustering can accurately identify clonally-related antibody sequences and presents the lowest running time among state-of-art tools. All these features constitute an attractive option for repertoire analysis, particularly in the clinical context. MobiLLe can potentially help unravel the mechanisms involved in developing and evolving B cell malignancies.

Abstract Background Metformin plays a consolidated role in the management of polycystic ovary syndrome (PCOS). However, there is no clear answer on how long we should treat and on how long its beneficial impact sustain after we stop treatment. We compared the effects of metformin withdrawal after long-term (LT) and short term (ST) treatment in PCOS women that had previously well responded to metformin. Methods We conducted observational longitudinal study including 44 PCOS women (31 (28–36) years and BMI 32.5 (27.7–34.9) kg/m2) that were followed for 6 months after metformin withdrawal. Prior inclusion, ST group had been treated with metformin on average for 1.03 ± 0.13 year, LT group for 5.07 ± 2.52 years. We followed anthropometric, metabolic, reproductive parameters and eating behavior as assessed by TFEQ-R18. Results After metformin withdrawal, ST group gained significant amount of weight (from 92 (75.5–107.3) kg to 96 (76–116) kg; p = 0.019). Weight tended to increase also in LT users (from 87 (75–103) to 87 (73–105) kg; p = 0.058). More women in LT group maintained stable weight (27% in LT group vs 15% in ST group). Eating behavior deteriorated in both groups. Withdrawal of metformin resulted in a decrease of menstrual frequency (6 (6–6) to 6 (4–6) menstrual bleeds per 6 months; p = 0.027) and in borderline increase of androstenedione (6.4 (4.6–7.6) to 7.8 (4.8–9.6) nmol/L; p = 0.053) in LT group. Waist circumference, HOMA and glucose homeostasis remained stable in both groups. There were no differences between groups at 6-month follow up. Conclusion Collectively, present study implies some metabolic and endocrine treatment legacy in both groups as well as some group-specific deteriorations in clinical parameters 6 months after metformin withdrawal. Trial registration: The study is registered at Clinical Trials with reference No. NCT04566718

INTRODUCTION: Expanding access to doula care is a key strategy for improving the perinatal experiences and health outcomes of birthing people of color in the U.S. This study investigates the future of maternal healthcare in the U.S. from the perspective of doulas and highlights emerging technology and other opportunities related to strengthening the doula workforce. METHODS: The study recruited community doulas from 12 unique U.S. states, ensuring at least half of the doulas predominantly served communities of color. Doulas (N = 26) participated in semi-structured, futures-oriented interviews that explored their experiences providing care during the COVID-19 pandemic and utilization of technology. A subset of doulas (n = 8) were engaged in interactive workshops where they envisioned alternative futures for doula care and childbirth. Interviews and workshops were analyzed using the Framework Method. RESULTS: The COVID-19 pandemic heightened technology use among doulas and increased client accessibility. Social media serves as a unique space for critical community building and client outreach. Doulas reported opportunities to strengthen and mobilize the future workforce: recognizing doula care as a reimbursable service by health insurers, utilizing doula collectives for community practice to decrease burnout, increasing emotional support for doulas, and instilling a chain of learning through mentorship. DISCUSSION: Futures thinking served as a valuable approach for doulas to illuminate the implications of present-day challenges and empowered doulas to design roadmaps toward better futures for doulas and maternal health. Doulas should be engaged as partners to hold a meaningful decision-making role when discussing policies, employment structures, emerging technology, and other aspects of doulas positioning within the healthcare system.

Objective: Long-term efficacy of metformin in polycystic ovarian syndrome ( PCOS) apart from in those with impaired glucose tolerance or diabetes remains unproven. We aimed to evaluate the impact of metformin in overweight-obese patient s with PCOS and normal baseline glycemic homeostasis. Methods: A 10-year longitudinal follow-up of a retrospective cohort comprising 159 patients with PCOS defined by Rotterdam criteria, BMI ≥25 kg/m2 and normal initial glucose homeostasis (age 28.4 ± 6.4 years, BMI 34.9 ± 6.6 kg/m 2) that had been receiving metformin 1000 mg BID. Collection data contained 6085 time-points including anthropometric, hormonal and metabolic parameters. Results: After the first year body mass (BM) decreased for 3.9 ± 6.8 kg (P < 0.001) and remained stable during the following 3 years. Menstrual frequen cy (MF) increased to 3.0 ± 3.9 bleeds/year (P < 0.001) after first year to over 11 bleeds/year in the followi ng years. The total testosterone and androstenedione decreased to 15.4 ± 47.9% and 11.3 ± 46.4% within first year, with further decrease in tot al testosterone and androstenedione to 37.8 ± 61.8 and 24.8 ± 40.5% at the fifth yea r of the follow-up. The total conversion rate to prediabetes and diabetes was extremely low throughout observation period. Less than 25% of patients continued with me tformin for more than 5 years with further dropout to only 6% on metformin therapy at the tenth year of follow-up. Conclusions: Long-term metformin treatment of overweight-obese women with P COS and normal baseline glycemic homeostasis resulted in reduction and stabilization of BM, improvements of MF and androgen profile and low conversion rate to diabetes.

The negative and cognitive symptoms of schizophrenia and related disorders may be due to reduced dopaminergic tone in cortical brain areas. Alteration in the function of dopamine (DA) D3 receptors may play a role in this cortical hypofunctionality and underlie the deficits in social behaviors and cognitive functions in schizophrenia. Cariprazine is a potent DA D3-preferring D3/D2 receptor partial agonist that is approved for the treatment of schizophrenia and bipolar disorder. The objective of the study was to compare the abilities of cariprazine, aripiprazole (another DA receptor partial agonist with more D2 receptor preference), and ABT-925 (a selective DA D3 antagonist) to counteract the social deficit and neurochemical alterations induced by the D3 receptor-preferring agonist (+)-PD 128907 (PD) in rats. Administration of PD (0.16 mg/kg; s.c.) induced a marked (−72%) but short-lasting disruption of the defensive social aggregation behavior (huddling) in the first 10-min period. Cariprazine at all doses (0.1, 0.3, 1 mg/kg; p.o.) almost completely abolished the PD-induced disruption of huddling. Likewise, ABT-925 (3 mg/kg; p.o.) and to a lesser extent aripiprazole (20 mg/kg; p.o.) were effective in blocking the PD-induced disruption of huddling. As measured by microdialysis, the highest dose of cariprazine prevented a PD-induced decrease in DA levels (40–80 min post PD dose) in the medial prefrontal cortex (mPFC), whereas aripiprazole did not have a significant effect. ABT-925 significantly counteracted the effect of PD at 80 min post-dose. In the nucleus accumbens (nAcc) shell, the highest dose of cariprazine, as well as ABT-925 and aripiprazole, significantly reversed the PD-induced decrease in DA levels. Taken together, these data provide behavioral and in vivo neurochemical evidence for the preferential DA D3 receptor action of cariprazine in the rat. This property of cariprazine may offer therapeutic benefits against the cognitive deficits and negative/depressive symptoms of schizophrenia and related disorders.

We studied the dynamics of laser-induced shock waves in supercritical CO2 (scCO2) for different pressures and temperatures under nanosecond optical breakdown. We estimated the shock wave pressure and energy, including their evolution during shock wave propagation. The maximal shock wave pressure ~0.5 GPa was obtained in liquid-like scCO2 (155 bar 55 °C), where the fluid density is greater. However, the maximal shock wave energy ~25 μJ was achieved in sub-critical conditions (67 bar, 55 °C) due to a more homogeneous microstructure of fluid in comparison with supercritical fluid. The minimal pressure and energy of the shock wave are observed in the Widom delta (a delta-like region in the vicinity of the critical point) due to the clusterization of scCO2, which strongly affects the energy transfer from the nanosecond laser pulse to the shock wave.

Since it was first launched in 2001, the Scottish Vision Group (SVG) has been a key meeting for vision scientists in Scotland, and has attracted vision scientists from the United Kingdom, Europe and beyond. This small conference is held annually at different places in Scotland. Its friendly atmosphere and stunning Scottish sceneries provide a great environment for relaxed scientific discussions. In particular, it is an excellent opportunity for scientists at an early stage of their career to give a talk about their work. The 2022 edition of SVG was held in St Leonard’s Hall at the University of Edinburgh. The meeting started with a panel discussion on camouflage led by Prof Nick Scott-Samuel (University of Bristol), Dr George Lovell (Abertay University) and Dr Rebecca Sharman (Abertay University). Research into camouflage has expanded remarkably over the last decade or so, with interdisciplinarity proving to be a key feature for progress. The discussion focussed on the different types of objectives and research techniques that are prominent in the field. The round table was sponsored by Meta Reality Labs. In the keynote lecture, sponsored by MDPI Vision, Prof Ute Leonards (University of Bristol) discussed the outcomes of her research programme investigating the crosstalk between visual cognition research and locomotion research. The outcomes of this Gibsonian approach do not just provide important insights into active vision but also outline the promising possibilities of sustainable urban design inspired by vision sciences. The rest of the conference was dedicated to talks on a variety of topics, including, but not limited to, attention, eye movements, visual search, motion perception, multisensory perception, colour and 3D vision. We present a selection of these abstracts. An associated Special Issue captures in fuller detail some of the research presented at SVG’s 2022 edition.

(1) Background: Older people suffer from cognitive decline; several risk factors contribute to greater cognitive decline. We used acquired (COVID-19 infection) and non-modifiable (presence of APOE rs429358 and rs7412 polymorphisms) factors to study the progression of subjective cognitive impairment while observing patients for one year. Cognitive training was used as a protective factor. (2) Methods: Two groups of subjects over the age of 65 participated in the study: group with subjective cognitive decline receiving cognitive training and individuals who did not complain of cognitive decline without receiving cognitive training (comparison group). On the first visit, the concentration of antibodies to COVID-19 and APOE genotype was measured. At the first and last point (1 year later) the Mini-Mental State Examination scale and the Hospital Anxiety and Depression Scale were performed. (3) Results: COVID-19 infection did not affect cognitive function. A significant role of cognitive training in improving cognitive functions was revealed. Older adults with APOE-ε4 genotype showed no positive effect of cognitive training. (4) Conclusions: Future research should focus on cognitive dysfunction after COVID-19 in long-term follow-up. Attention to the factors discussed in our article, but not limited to them, are useful for a personalized approach to maintaining the cognitive health of older adults.

Abstract Background The major histocompatibility complex (MHC) is the best-characterized genetic region related to resistance/susceptibility to a wide range of infectious and immune-mediated diseases. Evidences suggest that MHC class II genes may play an important role in developing different types of tumors including breast cancer. Canine mammary gland tumors (CMTs) are the most common neoplasms in female dogs. In the current study, the association of canine MHC class II DLA-DRB1.2 genotypes with development of mammary gland tumor profiles in dogs was investigated. DLA-DRB1.2 allelic diversity was determined in 40 dogs (18 CMT cases and 22 controls) using HRM technique and DNA sequencing. Association of the DLA-DRB1.2 genotypes with CMT profiles was expressed as odds ratio (OR). Results Based on the histopathological typing of tumors, CMT cases were categorized into 4 groups: simple carcinoma, complex carcinoma, carcinoma arising in a benign tumor and special types of carcinoma. A total of eight HRM profiles (A to H) were identified in dogs sampled. The association study revealed a significant correlation between DLA-DRB1.2 genotypes with different CMT profiles. The E genotype was significantly associated with increased risk of carcinoma arising in a benign tumor, and the B genotype represented a positive correlation with complex carcinoma. Significant association was also observed between the heterozygosity of DLA-DRB1.2 genotypes and decreased risk of developing tumor in dogs. Conclusions These results provide additional support for the association between DLA-DRB1 genes and development of mammary gland tumors in dogs and could potentially be used for early diagnosis of neoplasia and identifying susceptible dogs.

Abstract Background Go! Austin/Vamos! Austin (GAVA) is a coalition-led health initiative that targets low-income communities with disparities in access to healthy food and physical activity. The purpose of this initiative was to increase healthy eating and physical activity among residents by facilitating access to food and physical activity opportunities through environmental and policy changes. Although GAVA is ongoing, this paper describes the original GAVA intervention and the 5-year evaluation study (2013–2018), presenting selected baseline data obtained through its cohort sub-study. Methods To assess the impact of GAVA, the evaluation plan included multiple sub-studies and involved collection of quantitative, qualitative, and observational data at different levels. The main cohort sub-study followed 313 parent-child dyads over 5 years. Annually, parents completed self-administered surveys regarding awareness and use of community assets/resources as well as their diet and activities. Heights and weights also were measured. Results Cohort participants were primarily Hispanic (87%), very low-income (77%), and food insecure (58%), with high overweight/obesity prevalence among both parents (81%) and children (41%). Awareness and use of community physical activity and healthy eating resources were low, and reported barriers to using these resources were many. Engagement in physical activity and healthy eating also was low. Conclusions Given the baseline statistics, GAVA resident teams chose and implemented strategies to address the noted barriers and low usage of community resources. This approach built community capacity and governance. Both the GAVA intervention approach and evaluation protocol can serve as models for other community initiatives to be implemented in other locations and contexts.

The search for potential effective antidepressants with minimal side effects is necessary. Peptides are possible applicants for this role. We investigated the antidepressant effect of neuropeptide Y (NY), alone and in combination with clomipramine, in models of acute and chronic stress induced by ultrasound of variable frequencies. Rats were divided into the following groups: the control group, stress group, and stress groups with intranasal administration of NY (100 μg/kg) or clomipramine (7.5 mg/kg), or their combination. Rat behavior was evaluated using a sucrose preference test and forced swimming test in an acute stress model, and a sucrose preference test, forced swimming test, social interaction test, open field test, and Morris water maze test in a chronic stress model. The results of our experiment demonstrated a protective effect of intranasal NY in a model of acute stress, which was comparable to the antidepressant effect of clomipramine. When the same dose was chronically administered, NY also demonstrated an antidepressant action, although expressed in a lesser degree than clomipramine. The combination of NY and clomipramine was much less effective in the chronic stress paradigm compared to the separated drug administration, but was just as effective in the acute stress paradigm. Until now, there was no convincing evidence for the efficacy of the chronic administration of neuropeptide Y; we demonstrated its effectiveness in the animal model of depressive-like behavior. However, our hypothesis that neuropeptide Y can enhance the effect of a classical antidepressant was not confirmed.

Metformin is the most commonly used treatment to increase insulin sensitivity in insulin-resistant (IR) conditions such as diabetes, prediabetes, polycystic ovary syndrome, and obesity. There is a well-documented correlation between glucose transporter 4 (GLUT4) expression and the level of IR. Therefore, the observed increase in peripheral glucose utilization after metformin treatment most likely comes from the induction of GLUT4 expression and its increased translocation to the plasma membrane. However, the mechanisms behind this effect and the critical metformin targets are still largely undefined. The present review explores the evidence for the crucial role of changes in the expression and activation of insulin signaling pathway mediators, AMPK, several GLUT4 translocation mediators, and the effect of posttranscriptional modifications based on previously published preclinical and clinical models of metformin’s mode of action in animal and human studies. Our aim is to provide a comprehensive review of the studies in this field in order to shed some light on the complex interactions between metformin action, GLUT4 expression, GLUT4 translocation, and the observed increase in peripheral insulin sensitivity.

Water is an essential nutrient needed by the body. Dehydration is a condition when body loses more water than it takes. The content of water in human body depend on the proportion of muscle tissue and fat tissue. This cross sectional study was to analyze relation between fl uid intake, and nutrition status with hydration status of worker in division of general engineering at PT PAL INDONESIA. Subjects were all workers in all division general engineering at PT PAL INDONESIA. Data were collected by questionnaire which consist of 2 × 24 hours food recall, anthropometry measurement and urine collection. Spearman correlation test was applied to analyze the data. The result showed that most of the workers were ≤ 40 years old (58,8%) and all workers are male. Most of the workers had total fl uid intake less than 3700 L per day (85,3%) with average 2797,3 ± 673,30 L per day, nutritional status were obese (67,6%) and medium dehydrated (41.2%). The result of statistic test showed a strong positive relationship between fluid intake and hydration status. Meanwhile there was a weak negative relationship between nutritional status and hydration status. It can be concluded that fl uid intake more contribute to hydration status than nutrition status in general engineering division workers.