Individual Responses Research Articles

Shedding light on weight loss: A narrative review of medications for treating obesity.

Obesity and overweight are the major risk factors for numerous chronic diseases, including cardiovascular diseases such as heart disease and stroke, which are the leading causes of death worldwide. The prevalence of obesity has dramatically risen in both developed and developing countries, making it a significant public health concern and a global crisis. Despite lifestyle modifications being the first-line treatment, the high risk of relapse has led to a growing interest in non-invasive pharmacotherapeutic interventions to achieve and maintain weight loss and reverse the growth of the obesity epidemic. Cardiovascular diseases and cancer account for the highest mortality rates among other comorbidities associated with obesity and overweight. Excess and abnormally deposited adipose tissue secretes various inflammatory mediators, leading to cardiovascular diseases and cancers. Weight loss of 5-10% significantly reduces cardiometabolic risk. Medications currently approved in the USA for long-term management of obesity are orlistat, naltrexone, bupropion, phentermine/topiramate, and Glucagon Like Peptide-1 (GLP-1) agonists such as liraglutide and semaglutide. The benefit-to-risk of medications, comorbidities, and individual responses should guide the treatment decisions. The article provides a comprehensive overview and discussion of several weight loss medications used previously and currently, including their efficacy, mechanisms of action, and side effects.

Comparable CD8+ T-cell responses to SARS-CoV-2 vaccination in single-cell transcriptomics of recently allogeneic transplanted patients and healthy individuals.

Despite extensive research on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination responses in healthy individuals, there is comparatively little known beyond antibody titers and T-cell responses in the vulnerable cohort of patients after allogeneic hematopoietic stem cell transplantation (ASCT).In this study, we assessed the serological response and performed longitudinal multimodal analyses including T-cell functionality and single-cell RNA sequencing combined with T cell receptor (TCR)/B cell receptor (BCR) profiling in the context of BNT162b2 vaccination in ASCT patients. In addition, these data were compared to publicly available data sets of healthy vaccinees.Protective antibody titers were achieved in 40% of patients. We identified a distorted B- and T-cell distribution, a reduced TCR diversity, and increased levels of exhaustion marker expression as possible causes for the poorer vaccine response rates in ASCT patients. Immunoglobulin heavy chain gene rearrangement after vaccination proved to be highly variable in ASCT patients. Changes in TCRα and TCRβ gene rearrangement after vaccination differed from patterns observed in healthy vaccinees. Crucially, ASCT patients elicited comparable proportions of SARS-CoV-2 vaccine-induced (VI) CD8+T-cells, characterized by a distinct gene expression pattern that is associated with SARS-CoV-2 specificity in healthy individuals.Our study underlines the impaired immune system and thus the lower vaccine response rates in ASCT patients. However, since protective vaccine responses and VICD8+T-cells can be induced in part of ASCT patients, our data advocate early posttransplant vaccination due to the high risk of infection in this vulnerable group.

Structural validation of the Manchester-Oxford Foot Questionnaire for use in foot and ankle surgery.

The Manchester-Oxford Foot Questionnaire (MOxFQ) is an anatomically specific patient-reported outcome measure (PROM) currently used to assess a wide variety of foot and ankle pathology. It consists of 16 items across three subscales measuring distinct but related traits: walking/standing ability, pain, and social interaction. It is the most used foot and ankle PROM in the UK. Initial MOxFQ validation involved analysis of 100 individuals undergoing hallux valgus surgery. This project aimed to establish whether an individual's response to the MOxFQ varies with anatomical region of disease (measurement invariance), and to explore structural validity of the factor structure (subscale items) of the MOxFQ. This was a single-centre, prospective cohort study involving 6,637 patients (mean age 52 years (SD 17.79)) presenting with a wide range of foot and ankle pathologies between January 2013 and December 2021. To assess whether the MOxFQ responses vary by anatomical region of foot and ankle disease, we performed multigroup confirmatory factor analysis. To assess the structural validity of the subscale items, exploratory and confirmatory factor analyses were performed. Measurement invariance by pathology was confirmed, suggesting the same model can be used across all foot and ankle anatomical regions. Exploratory factor analysis demonstrated a two- to three-factor model, and suggested that item 13 (inability to carry out work/everyday activities) and item 14 (inability to undertake social/recreational activities) loaded more positively onto the "walking/standing" subscale than their original "social interaction" subscale. This large cohort study supports the current widespread use of the MOxFQ across a broad range of foot and ankle pathologies. Our analyses found indications that could support alterations to the original factor structure (items 13 and 14 might be moved from the "social interaction" to the "walking/standing" subscale). However, this requires further work to confirm.

Relevance of Comet Assay and Phosphorylated-Hsp90α in Cancer Patients' Peripheral Blood Leukocytes as Tools to Assess Cisplatin-based Chemotherapy Clinical Response and Disease Outcome.

Cisplatin (cPt) is a commonly used treatment for solid tumors. The main target of its cytotoxicity is the DNA molecule, which makes the DNA damage response (DDR) crucial for cPt-based chemotherapy. Therefore, it is essential to identify biomarkers that can accurately predict the individual clinical response and prognosis. Our goal was to assess the usefulness of alkaline comet assay and immunocytochemical staining of phosphorylated Hsp90α (p-Hsp90α), γH2AX, and 53BP1 as predictive/prognostic markers. Pre-chemotherapy peripheral blood leukocytes were exposed to cPt in vitro and collected at 0, 24 (T24), and 48 (T48) hr post-drug removal. Healthy subjects were also included. Baseline DNA damage was elevated in cancer patients (variability between individuals was observed). After cPt, patients showed increased γH2AX foci/nucleus (T24 and T48). Both in healthy persons and patients, the nuclear p-Hsp90α and N/C (nuclear/cytoplasmic) ratio augmented (T24), decreasing at T48. Favorable clinical response was associated with high DNA damage and p-Hsp90α N/C ratio following cPt. For the first time, p-Hsp90α significance as a predictive marker is highlighted. Post-cPt-DNA damage was associated with longer disease-free survival and overall survival. Our findings indicate that comet assay and p-Hsp90α (a marker of DDR) would be promising prognostic/predictive tools in cP-treated cancer patients.

Development of a machine learning-based model for predicting individual responses to antihypertensive treatments

Background and aimsPersonalized antihypertensive drug selection is essential for optimizing hypertension management. The study aimed to develop a machine learning (ML) model to predict individual blood pressure (BP) responses to different antihypertensive medications. Methods and resultsWe used data from a pragmatic, cluster-randomized trial on hypertension management in China. Each patient's multiple visit records were included, and two consecutive visits were paired as the index and subsequent visits. The least absolute shrinkage and selection operator method was used to select index visit variables for predicting subsequent BP. The dataset was randomly divided into training and test sets in a 7:3 ratio. Model performance was evaluated using mean absolute error (MAE) and R-square in the test set. A total of 19,013 hypertension management visit records (6282 patients) were included. The mean age of the study population was 63.9 years, and 2657 (42.3%) were females. A total of 12 phenotypical features (age, sex, smoking within seven days, body mass index, waist circumference, index visit systolic BP, diastolic BP, heart rate, comorbidities of diabetes, dyslipidemia, coronary heart disease, and stroke), together with currently taking any prescribed antihypertensive medication regimens and visits time interval were selected to build the model. The Extreme Gradient Boost model performed best among all candidate algorithms, with an MAE of 8.57 mmHg and an R2 = 0.28 in the test set. ConclusionThe ML techniques exhibit significant potential for predicting individual responses to antihypertensive treatments, thereby aiding clinicians in achieving optimal BP control safely and efficiently. Trial registrationClinicalTrials.gov, NCT03636334. Registered July 3, 2018, https://clinicaltrials.gov/study/NCT03636334.

Genetic Determinants of Response to Statins in Cardiovascular Diseases.

Despite extensive efforts to identify patients with cardiovascular disease (CVD) who could most benefit from the treatment approach, patients vary in their benefit from therapy and propensity for adverse drug events. Genetic variability in individual responses to drugs (pharmacogenetics) is considered an essential determinant in responding to a drug. Thus, understanding these pharmacogenomic relationships has led to a substantial focus on mechanisms of disease and drug response. In turn, understanding the genomic and molecular bases of variables that might be involved in drug response is the main step in personalized medicine. There is a growing body of data evaluating drug-gene interactions in recent years, some of which have led to FDA recommendations and detection of markers to predict drug responses (e.g., genetic variant in VKORC1 and CYP2C9 genes for prediction of drug response in warfarin treatment). Also, statins are widely prescribed drugs for the prevention of CVD. Atorvastatin, fluvastatin, rosuvastatin, simvastatin, and lovastatin are the most common statins used to manage dyslipidemia. This review provides an overview of the current knowledge on the pharmacogenetics of statins, which are being used to treat cardiovascular diseases.

과학 수업에서 디지털 자료를 활용한 수업이 초등학생들의 디지털 소양에 미치는 영향과 디지털 수업에 대한 인식에 미치는 영향

The purpose of this study was to investigate the effects of classes using digital textbooks and digital materials on elementary school students' digital literacy and their perception of digital classes, focusing on the expansion of the visual data area in science classes. For the 5th and 6th graders of elementary schools in the central region, classes centered on traditional book textbooks and classes using digital textbooks were conducted to compare the degree of improvement in digital literacy. 158 5th grade students and 146 6th graders were participated in. Classes using book-type textbooks and digital textbooks were conducted 3 times a week for 3 months, for a total of 12 weeks, from October to December to research subjects with similar living conditions and economic levels, and digital literacy tests were conducted before and after. As a result, students who used digital textbooks showed a partially statistically significant change in the degree of improvement in digital literacy compared to students in the control group. As a result of analysis by dividing into five areas: collection of information, utilization and management of information, utilization and evaluation of media, utilization of smart devices, and understanding and practice of copyright and Internet ethics, Comparing the pre-test and post-tests in the experimental and control groups, each showed significant changes in digital literacy. This is a result that runs counter to the idea that digital literacy can only be improved by making greater use of digital materials. However, students who consistently use it are able to induce more changes in terms of digital literacy than students who do not. In addition, students who used digital textbooks preferred classes using audio-visual materials such as digital textbooks more than classes using general photos or book-type textbooks, and had comfort and confidence in using digital devices such as computers and tablet PCs. In addition, it was found that science classes using materials were more preferred. However, among students' individual responses or interviews, some responded that learning was more effective in traditional teaching, research through scientist interviews, and explanations through images or diagrams.

Upper thermal tolerance and population implications for the Magdalena River stingray Potamotrygon magdalenae.

Knowledge of thermal tolerance limits provides important clues to the capacity of a species to withstand acute and chronic thermal changes. Climate models predict the increase and intensification of events such as heat waves, therefore understanding the upper thermal limits that a species can tolerate has become of utmost importance. We measured the upper thermal tolerance of the endemic Magdalena river stingray Potamotrygon magdalenae acclimated to experimental conditions, and then used critical thermal methodology to find the temperature at which an organism reaches a critical endpoint where locomotory activity becomes disorganized and the animal loses its ability to escape from conditions that will promptly lead to its death. We also describe the behavioral response of individuals to acute thermal stress and infer the possible consequences of temperature increases in the habitats of P. magdalenae populations. There were no significant differences between sexes in temperature tolerance or behavior. The critical thermal maximum (39°C) was 5.9°C above the maximum recorded temperature for the study area. Although P. magdalenae was tolerant to high temperature and currently is not living at its upper thermal limit, its survival in Guarinocito Pond will be threatened if temperatures continue to increase, considering the warming scenarios predicted for tropical regions due to climate change, even including short-term climate phenomena such as El Niño.

The Effect of Household Composition on Fire Coping Capacity and Fire Damage

In this study, to conduct a comprehensive fire risk assessment (FRA) considering the fire coping capacity (FCC) of individuals and communities, we analyzed the FCC based on household composition, a factor influencing FCC, through a survey. Statistical analysis was employed to examine the impact of household composition on fire damage with the aim of proposing the feasibility of an FRA incorporating FCC. The survey results indicated a statistically significant difference in the FCC based on household composition, with a higher individual fire response capability in multi-person households and an elevated community FCC in single-person households. Furthermore, the statistical analysis revealed a positive correlation between the number of single-person households and the occurrence of fire incidents and casualties. In conclusion, this study explored the potential of FCC in FRA by drawing insights from the survey and correlation analysis results.

Pharmacogenetics: Therapeutic regimen in hypertension

Pharmacogenetics in hypertension is a field of study that aims to understand how interindividual genetic variability can influence the response to medications used to treat high blood pressure, which is a common cardiovascular condition. This approach aims to analyze the pharmacogenetic impact on arterial hypertension. Currently, a wide range of genetic variants have been identified that can affect an individual's response to antihypertensive medications. For example, some genes can influence how the body metabolizes medications, affecting the dosage needed to achieve adequate blood pressure control. Other genes may be related to susceptibility to adverse side effects. Pharmacogenetics in hypertension allows doctors to make more informed decisions about which medication to prescribe to a patient based on their genetic profile. This can increase the effectiveness of the treatment and reduce the likelihood of unwanted side effects. Additionally, this approach may be particularly useful in cases of refractory hypertension, where patients do not respond to conventional therapies. Pharmacogenetics in hypertension is a growing field that seeks to personalize the treatment of this common cardiovascular condition. By understanding how individual genes affect responses to medications, doctors can make treatments more precisely to improve blood pressure control and reduce side effects. However, it is important to note that, although promising, this approach is still in development and is not widely available in clinical practice.

The characteristics of BCR-CDR3 repertoire in COVID-19 patients and SARS-CoV-2 vaccinated volunteers.

The global COVID-19 pandemic has caused more than 1 billion infections, and numerous SARS-CoV-2 vaccines developed rapidly have been administered over 10 billion doses. The world is continuously concerned about the cytokine storms induced by the interaction between SARS-CoV-2 and host, long COVID, breakthrough infections postvaccination, and the impact of SARS-CoV-2 variants. BCR-CDR3 repertoire serves as a molecular target for monitoring the antiviral response "trace" of B cells, evaluating the effects, mechanisms, and memory abilities of individual responses to B cells, and has been successfully applied in analyzing the infection mechanisms, vaccine improvement, and neutralizing antibodies preparation of influenza virus, HIV, MERS, and Ebola virus. Based on research on BCR-CDR3 repertoire of COVID-19 patients and volunteers who received different SARS-CoV-2 vaccines in multiple laboratories worldwide, we focus on analyzing the characteristics and changes of BCR-CDR3 repertoire, such as diversity, clonality, V&J genes usage and pairing, SHM, CSR, shared CDR3 clones, as well as the summary on BCR sequences targeting virus-specific epitopes in the preparation and application research of SARS-CoV-2 potential therapeutic monoclonal antibodies. This review provides comparative data and new research schemes for studying the possible mechanisms of differences in B cell response between SARS-CoV-2 infection or vaccination, and supplies a foundation for improving vaccines after SARS-CoV-2 mutations and potential antibody therapy for infected individuals.

Monitoring autonomic responses in Parkinson’s disease individuals: non-linear and chaotic global metrics of heart rate variability

Aim To examine and compare the autonomic responses, as assessed through the non-linear and chaotic global metrics of heart rate variability in two groups: the Parkinson’s Disease Group (PDG) and the Control Group (CG), both at rest and during an active tilt test. Methods The study encompassed 46 participants (PDG: n = 23; 73.73 ± 7.28 years old; CG: n = 23; 70.17 ± 8.20 years old). Initial data collection involved the acquisition of participant’s characteristics. The autonomic modulation was estimated both at rest and during the active tilt test. For this assessment, we computed non-linear indices derived from five entropies (Approximate, Sample, Shannon, Renyi, Tsallis), Detrended Fluctuation Analysis and the seven chaotic global metrics (hsCFP1-hsCFP7). Results At rest, the PDG exhibited lower values of hsCFP3 (0.818 ± 0.116 vs. 0.904 ± 0.065; p < 0.05) and Sample Entropy (0.720 ± 0.149 vs. 0.799 ± 0.171; p < 0.05). During the test, the PDG demonstrated lower values of ApEn, while the CG presented lower values of SampEn, hsCFP1, hsCFP3, hsCFP7, and higher values of hsCFP5. An interaction was observed, indicating that hsCFP1 and hsCFP3 exhibit differential behavior for the CG and PDG in response to the test. Conclusion subjects with PD exhibited reduced complexity of the RR interval series at rest, and a diminished autonomic response to the active tilt test when compared with the CG. The test, together with non-linear indices, may serve for assessing the Autonomic Nervous System in individuals with PD in a clinical setting. The interpretation of these data should be approached with caution, given the possible influences of pharmacotherapies and the inclusion of diabetic participants.

Effects of point-source discharges on shortfin eels (Anguilla australis) along the Waikato River, New Zealand

ABSTRACT The Waikato River is the longest river in New Zealand and is exposed to range of anthropogenic stressors. This study investigated the effects of three major point-source discharges on resident shortfin eels Anguilla australis along the river. Shortfin eels were caught from sites upstream and downstream of discharges of bleached kraft mill effluent (BKME) from pulp and paper manufacture, sewage, and a thermal power plant. At each site, population parameters (relative abundance and age structure) and individual metrics of health such as condition factor and organ (gonad, liver, and spleen) to somatic weight ratios were measured. Blood, biochemical (hepatic 7-ethoxyresorufin-O-deethylase or EROD) and chemical markers (bile chemistry and trace elements in flesh) were also measured. Measures of exposure and response to discharges confirmed that the shortfin eels were resident at the sites sampled. The discharges had few negative impacts on individual eel health and positive responses were seen to warm water discharge. However, resident shortfin eels were immature so reproductive responses could not be determined. In conclusion, shortfin eels in this study showed few responses to the effects of the discharges except for increased resin acids, bile polycyclic aromatic hydrocarbons, and EROD at the BKME site.

The Fallacy of Single Trials: The Need for Multiple Trials in Assessing Running Economy Responses in Advanced Footwear Technology.

In the quest to uncover the underlying mechanisms responsible for the performance-enhancing benefits imparted by advanced footwear technology (AFT), footwear researchers are employing an individual-level approach. In doing so, they hope to unveil individual-specific responses to AFT otherwise masked by a group-level approach. Classifying an individual's response on the basis of running economy (RE) is a logical strategy given that the intended purpose of AFT is to enhance performance; however, caution should be taken when doing so. Metabolic measurement devices are far from perfect, and given the known errors associated with metabolic measurements we would like to reiterate a suggestion first made 40years ago: when seeking to quantify the interindividual variability of improvement in RE associated with running in AFT, the best practice is to rely on a minimum of two same-day measurements of RE.

Microbial composition, functionality, and stress resilience or susceptibility: unraveling sex-specific patterns

BackgroundFollowing exposure to traumatic stress, women are twice as likely as men to develop mood disorders. Yet, individual responses to such stress vary, with some people developing stress-induced psychopathologies while others exhibit resilience. The factors influencing sex-related disparities in affective disorders as well as variations in resilience remain unclear; however, emerging evidence suggests differences in the gut microbiota play a role. In this study, using the single prolonged stress (SPS) model of post-traumatic stress disorder, we investigated pre- and post-existing differences in microbial composition, functionality, and metabolites that affect stress susceptibility or resilience in each sex.MethodsMale and female Sprague–Dawley rats were randomly assigned to control or SPS groups. Two weeks following SPS, the animals were exposed to a battery of behavioral tests and decapitated a day later. Based on their anxiety index, they were further categorized as SPS-resilient (SPS-R) or SPS-susceptible (SPS-S). On the day of dissection, cecum, and selected brain tissues were isolated. Stool samples were collected before and after SPS, whereas urine samples were taken before and 30 min into the SPS.ResultsBefore SPS exposure, the sympathoadrenal axis exhibited alterations within male subgroups only. Expression of tight junction protein claudin-5 was lower in brain of SPS-S males, but higher in SPS-R females following SPS. Across the study, alpha diversity remained consistently lower in males compared to females. Beta diversity revealed distinct separations between male and female susceptible groups before SPS, with this separation becoming evident in the resilient groups following SPS. At the genus level, Lactobacillus, Lachnospiraceae_Incertae_Sedis, and Barnesiella exhibited sex-specific alterations, displaying opposing abundances in each sex. Additionally, sex-specific changes were observed in microbial predictive functionality and targeted functional modules both before and after SPS. Alterations in the microbial short-chain fatty acids (SCFAs), were also observed, with major and minor SCFAs being lower in SPS-susceptible males whereas branched-chain SCFAs being higher in SPS-susceptible females.ConclusionThis study highlights distinct pre- and post-trauma differences in microbial composition, functionality, and metabolites, associated with stress resilience in male and female rats. The findings underscore the importance of developing sex-specific therapeutic strategies to effectively address stress-related disorders.HighlightsSPS model induces divergent anxiety and social behavioral responses to traumatic stress in both male and female rodents.SPS-resilient females displayed less anxiety-like behavior and initiated more interactions towards a juvenile rat than SPS-resilient males.Sex-specific pre-existing and SPS-induced differences in the gut microbial composition and predictive functionality were observed in susceptible and resilient rats.SPS-resilient males displayed elevated cecal acetate levels, whereas SPS-susceptible females exhibited heightened branched-chain SCFAs.

Deglaciation patterns in the Upper Zemmgrund, Austria: An exploration of clean-ice disintegration scenarios

The European Alps are rapidly losing glacier mass due to climatic warming and are anticipated to be largely ice-free by the year 2100. Long-term glacier monitoring in the Alps provides a record of anthropogenically-driven climate change since the Little Ice Age maximum in ~1850. Understanding these long-term glacier changes provides a basis for mitigating hazards (e.g., mass movements) associated with a transition to a paraglacial environment and for predicting future scenarios. Here, we present a post-Little Ice Age-maximum record of glacial landscape changes in the Upper Zemmgrund, Austria, utilising a multi-method framework integrating multi-decadal geomorphological mapping, historical imagery and remote sensing of glacier change. This study contributes a high-resolution, quantifiable record of the transition from a glacial to paraglacial landscape. We find that individual glacier response to climatic change varies within the Upper Zemmgrund, attributed to glacier characteristics such as hypsometry and size. Nonetheless, all glaciers show signs of growing instability such as an increase in crevasses and the collapse of circular tension structures, which have dammed meltwater at the terminus of one glacier, posing a substantial hazard to downstream communities. Future glacier disintegration is anticipated to accelerate in the Upper Zemmgrund, which may result in an ice-free landscape within the next ~40–60 years.

Guidance on Minimum Standards for Canine-Assisted Psychotherapy in Adolescent Mental Health: Delphi Expert Consensus on Health, Safety, and Canine Welfare.

As interest in animal-assisted therapy (AAT) and canine-assisted psychotherapy (CAP) grows, there are increasing calls for the management of related health, safety, and welfare concerns for canines, providers, and clients. Existing health and safety guidelines lack empirical support and are, at times, contradictory. Welfare is increasingly prioritized; however, tools to monitor and manage welfare are underutilized and under-reported. The aim of this study was to provide expert consensus on the minimum health, safety, and welfare standards required to develop and deliver a CAP group program to adolescents experiencing common mental health disorders. Diverse AAT experts were recruited globally. Using Delphi methodology, over two rounds, 40 panelists reached a consensus agreement to include 32 items from a possible 49 into the minimum standards. Health and safety measures included risk assessment, veterinary screening, preventative medicine, training in infection control, and first aid. Welfare measures included training in welfare assessment, documentation of welfare, and flexible, individualized responses to promote wellbeing. Intestinal screening for parasites and the prohibition of raw food were not supported. Flexible and individualized assessment and management of canine welfare were supported over fixed and time-limited work schedules. Clinical practice implications are discussed, and recommendations are made.

Effect of Combined Physical Exercise Training in Reducing Cardiovascular Risk Among Adults with Obesity: A Randomized Clinical Trial.

It is necessary to understand the relationship between different models of exercise periodization and the reduction of cardiovascular risk in adults with obesity. The aim of this study was to verify the effect of two periodization models of combined training on the cardiovascular risk of adults with obesity of both sexes. A randomized clinical trial was conducted with adults of both sexes with obesity. They were divided into three groups: control group (CG), non-periodized combined training group (NG), and combined training group with linear periodization (PG). The NG and PG groups underwent physical exercise training regimen for 16 weeks, in three weekly sessions of 60min each, with the volume and intensity equalized. Cardiovascular risk was measured by the overall Framingham risk score (FRS). Generalized estimation equations and individual responsiveness analyses were used, stratified by sex. A statistically significant reduction in FRS was observed only in men of the NG (pre: 2.50 ± 0.56; post: 0.50 ± 1.02; p-value = 0.001). There was no statistically significant intervention effect on the women's cardiovascular risk. It was found that, regardless of sex, subjects in the control group mostly presented results of increased cardiovascular risk. In contrast, those belonging to the exercise groups, if not reduced, at least stabilized the chances of suffering a cardiovascular event in the next ten years after 16 weeks of combined training. Sixteen weeks of non-periodized combined training were sufficient to reduce cardiovascular risk in men with obesity. Both periodization models were important to stabilize the risk of developing a cardiovascular disease in the next 10 years.

Unraveling Hidden Cell Signaling Pathways Using Biophysical Methods: Application to the Gαq/Phospholipase Cβ Signaling System.

The success of pharmaceutical therapies relies on how well cells respond to a particular drug, but accurately predicting responses can be difficult due to the complex and numerous potential molecular interactions that are possible in cells, and the responses of individuals can be variable due to cryptic and unexpected interactions. With the advancement of proteomics and fluorescence imaging methods, it is now possible to elucidate novel secondary signaling pathways and predict unexpected responses that might otherwise be missed, allowing for the development of better therapeutics. The Gαq/PLCβ signaling pathway is activated by agents that mediate allergic responses, neurotransmission, and heart rate, as well as other functions that are critical for survival. This Review describes the factors that must be considered in delineating signaling pathways and describes the novel translational role that we have uncovered for this signaling pathway.

CEO dark triad traits and organization COVID-19 response: the mediating effect of COVID-19 anxiety and moderating effect of follower self-leadership

PurposeThis research aims to examine the influence of Chief Executive Officer (CEO) dark triad traits, follower COVID-19 anxiety and self-leadership on follower evaluations of the effectiveness of organizations’ response to the COVID-19 pandemic crisis.Design/methodology/approachIn this paper data were collected over two time periods. At time 1, mid-October 2021, 650 participants responded to questions on their CEO’s leadership traits and self-leadership. At time 2, (3-week lag) 275 matched individual responses provided followers’ evaluations of the effectiveness of the organization’s COVID-19 response and follower self-leadership.FindingsCEO dark triad traits had direct and indirect negative effects on followers’ evaluations of the organization’s COVID-19 response (through COVID-19 anxiety). Follower self-leadership mitigated the negative effects.Research limitations/implicationsBy examining the moderating role of self-leadership, we can offer organizations evidence-based strategies to mitigate some harmful effects of leaders exhibiting dark triad traits.Practical implicationsGiven that organizations are still dealing with the ongoing ramifications of COVID-19 and planning for future crises, our findings emphasize the negative effects of dark traits on COVID-19 anxiety, and in turn, on follower’s evaluation of effective organization response to a crisis, highlighting the importance of top-level leader selection.Social implicationsOur results bolster Manz’s (1986) argument that self-leadership might be key to achieving peak performance in organizations and important for follower well-being.Originality/valueThis study of dark traits is especially important in a crisis context to understand how leaders affect followers’ perceptions about organizational outcomes and factors that might mediate or moderate the negative impact. Despite interest in understanding leadership during a crisis, the majority of research is focused on positive traits of leaders (Palmer et al., 2020).