bluuebunny/crossref_metadata_2025 huggingface dataset:
Specific relations of visual skills and executive functions in elite soccer players
Authors: Knöllner Antonia , Memmert Daniel , von Lehe Marec , Jungilligens Johannes , Scharfen Hans-Erik
Published: August 2022

Visual and cognitive skills are key to successful functioning in highly demanding settings such as elite sports. However, their mutual influence and interdependencies are not sufficiently understood yet. This cross-sectional study examined the relationship between visual skills and executive functions in elite soccer players. Fifty-nine male elite soccer players (age: 18–34 years) performed tests assessing visual clarity (left-, right-, and both eyes), contrast sensitivity, near-far quickness, and hand-eye coordination. Executive function measures included working memory capacity, cognitive flexibility, inhibition and selective attention. Overall, visual abilities were largely correlated with executive functions. Near-far quickness performance showed a large correlation with an executive function total score as well as with cognitive flexibility, working memory, and especially selective attention. Visual clarity and contrast sensitivity were moderately correlated with the cognition total score. Most consistent correlations with the visual functions were present for working memory. These findings present an overall vision-cognition relationship but also very specific linkages among subcategories of these functions, especially meaningful relations between near-far quickness, selective attention and cognitive flexibility. Further studies are needed to investigate the neuropsychological mechanisms accounting for the correlations and possible improvements of the executive functions by training specific visual skills.
Sickness presenteeism explained by balancing perceived positive and negative effects
Authors: Lohaus Daniela , Habermann Wolfgang , Nachreiner Malte
Published: August 2022

Within the ever-growing body of research on sickness presenteeism, studies of perceived consequences are scarce and equally rare are joint considerations of beneficial and harmful effects. This study examined how experienced and expected consequences of the behavior are related to presenteeism. Positive and negative effects were considered simultaneously and comprehensively. This approach allowed us to capture the trade-off process of individuals in deciding to work or call in sick when ill. In a cross-sectional online survey, 591 working adults in Germany rated a thoroughly developed pool of specific experienced or potential consequences of working while sick and gave an overall judgment of effects. The results show that perceptions of effects are consistent with behavior. Individuals who exhibit presenteeism do so primarily because of work-related effects such as the completion of one’s work tasks and the meeting of deadlines. Few specific effects stand out and can largely explain attendance behavior and the overall assessment of effects. The findings are consistent with the assumptions of the health belief model and the expectancy value theory of work motivation and they relate to the health-performance framework. They demonstrated that benefits and costs of the behavior are simultaneously weighed in the decision to engage in presenteeism or not.
A nurse-led, telephone-based patient support program for improving adherence in patients with relapsing-remitting multiple sclerosis using interferon beta-1a: Lessons from a consumer-based survey on adveva® PSP
Authors: Barello Serena , Paolicelli Damiano , Bergamaschi Roberto , Cottone Salvatore , D'Amico Alessandra , Annibali Viviana , Paolillo Andrea , Bosio Caterina , Panetta Valentina , Graffigna Guendalina
Published: August 2022

Background

Evidence suggests that organizational models that provide care interventions including patient support programs may increase patient adherence to multiple sclerosis (MS) therapies by providing tailored symptom management, informational support, psychological and/or social support, lifestyle changes, emotional adjustment, health education, and tailored coaching, thus improving patients' overall quality of life across the disease course.

Objective

The main objective of this study was to describe MS patients' self-reported experience of a nurse-led, telephone-based PSP and to explore its potential role in improving disease and therapy management skills.

Methods

Survey data were analyzed from a subset of patients relapsing–remitting MS (RRMS) using interferon beta-1a already registered in the adveva® PSP from three Italian multiple sclerosis centers with a consolidated experience in RRMS disease, treatment management, and PSP programs.

Results

In total, 244 patient data at baseline were analyzed, of which 115 had a follow-up of at least 6 months. Results from this study provide an early view into the role of this PSP in improving the patients reported overall experience regarding disease management and injectable therapy, thus potentially ameliorating treatment adherence and decreasing health care cost. Moreover, study findings confirm the role of providing a patient-focused support by addressing non-medication-related topics in the PSP consultations. Indeed, patients involved in the adveva® PSP program reported a better psychological status in the follow up as demonstrated by an increased optimism regarding their future, tolerance of disease uncertainty, and their perceived ability to benefit from external help and social support (informal caregivers).

Conclusions

As such, it is reasonable to conclude that the involvement in the adveva® PSP and the PSP's assistance in guiding patients on proper treatment self-management techniques is of great value to patients as it might contribute to improving engagement in their health care journey in terms of perceived self-care skills, emotional coping toward the future and the unpredictability of the disease course and their general attitudes toward the injection itself, involving pain tolerance.
Darwin’s sexual selection hypothesis revisited: Musicality increases sexual attraction in both sexes
Authors: Marin Manuela M. , Rathgeber Ines
Published: August 2022

A number of theories about the origins of musicality have incorporated biological and social perspectives. Darwin argued that musicality evolved by sexual selection, functioning as a courtship display in reproductive partner choice. Darwin did not regard musicality as a sexually dimorphic trait, paralleling evidence that both sexes produce and enjoy music. A novel research strand examines the effect of musicality on sexual attraction by acknowledging the importance of facial attractiveness. We previously demonstrated that music varying in emotional content increases the perceived attractiveness and dating desirability of opposite-sex faces only in females, compared to a silent control condition. Here, we built upon this approach by presenting the person depicted (target) as the performer of the music (prime), thus establishing a direct link. We hypothesized that musical priming would increase sexual attraction, with high-arousing music inducing the largest effect. Musical primes (25 s, piano solo music) varied in arousal and pleasantness, and targets were photos of other-sex faces of average attractiveness and with neutral expressions (2 s). Participants were 35 females and 23 males (heterosexual psychology students, single, and no hormonal contraception use) matched for musical background, mood, and liking for the music used in the experiment. After musical priming, females’ ratings of attractiveness and dating desirability increased significantly. In males, only dating desirability was significantly increased by musical priming. No specific effects of music-induced pleasantness and arousal were observed. Our results, together with other recent empirical evidence, corroborate the sexual selection hypothesis for the evolution of human musicality.
Association between fundamental motor skills and executive function in preschool children: A cross-sectional study
Authors: Han Xiaowei , Zhao Meiling , Kong Zhe , Xie Jun
Published: August 2022

Objective

The main purpose of this study was to explore the association between early fundamental motor skills (FMS) and executive function (EF) in preschool children.

Methods

A total of 394 young children (4.07 ± 0.76 years) were evaluated. The FMS and EF were evaluated using the Test of Gross Motor Development-2 (TGMD-2) and the NIH Toolbox Cognition Battery (NTCB), respectively.

Results

Total FMS score was moderately and positively correlated with total EF score (r = 0.33, p < 0.001) and was a significant predictor of total EF score (β = 0.37, p < 0.001). Specifically, locomotor skills were significant predictors of inhibition control (β = 0.21, p < 0.001), working memory (β = 0.18, p < 0.01), and cognitive flexibility (β = 0.24, p < 0.001), while object control skills were only significant predictors of inhibition control (β = 0.17, p < 0.01).

Conclusion

FMS were significantly and positively correlated with EF and were significant predictors of EF. Early childhood policymakers, preschool teachers, and researchers should take these connections seriously and implement appropriate complex motor intervention programs in future teaching to stimulate the development of both motor and higher-order cognitive skills in preschool children.
Impact of victory and defeat on the perceived stress and autonomic regulation of professional eSports athletes
Authors: Machado Sergio , de Oliveira Sant'Ana Leandro , Cid Luis , Teixeira Diogo , Rodrigues Filipe , Travassos Bruno , Monteiro Diogo
Published: August 2022

Competitive sports involve physiological, technical and psychological skills, which influence directly on individuals’ performance. This study aims to investigate the levels of perceived stress and Heart Rate Variability (HRV) before and after matches with victory and defeat in professional eSports athletes. Our hypothesis was that the winners would have better autonomic and stress responses after match, thus corroborating the literature on neurocardiac connections. Fifty male eSport players were selected players from 10 different Brazilian teams. The experiment was carried out in 2 sessions. Firstly, after signing the informed consent form, 24 h before the game, anthropometric, physical activity levels and time of expertise data were recorded only for sample characterization and the players were familiarized with the perceived stress scale—10 (PSS-10) and the HRV measurements. Secondly, players performed the PSS-10 and HRV recording at rest by 10 min 60 and 30 min before the game (i.e., baseline time) and 10 min after the end of the game. Overall, concerning PSS-10 our findings show that VG had significant reduced scores in post-game time compared to baseline (BL) and pre-game times, while DG had significant increased scores in post-game time compared to BL and pre-game times. Regarding HRV, our results demonstrate that VG had significant increase in RR, SDNN, rMSSD, pNN50 and HF, and significant decrease in LF and LF/HF, while DG had a significant decrease in RR, SDNN, rMSSD and HF, and significant increase in LF and LF/HF. It was observed that VG had better HRV responses (greater parasympathetic activation) as well as lower levels of perceived stress, while DG had worst HRV responses (greater sympathetic activation) and higher levels of perceived stress.
An evaluation of junior doctors’ experience in smoking cessation training in a rural mental health setting
Authors: Faint Nicholas , Cuesta-Briand Beatriz , Coleman Mathew
Published: August 2022

Introduction

Smoking prevalence remains high amongst people with mental illness, however, they are less likely to be screened for tobacco dependence and offered treatment to quit. Smoking cessation and education training are insufficient in medical schools, despite a positive relationship between training and practice once qualified. However, the question as to whether there is adequate skill and expertise to address smoking in people with mental illness within Australian mental health settings is unclear. Furthermore, people living in rural and remote areas smoke at higher rates, quit at lower rates than those in urban areas, and experience limitations in their ability to access smoking cessation supports. The Smokers’ Clinic is an initiative established in a rural Australian mental health service offering a smoking cessation service to patients and staff employed by the service.

Aim

This study aims to assess the change in the knowledge and confidence of resident medical officers in their understanding of nicotine dependence, smoking cessation strategies and prescribing nicotine replacement therapy in a community mental health setting. It was hypothesized that providing education and supervised clinical experience would improve knowledge, increasing confidence and motivation in managing smoking cessation in mental health patients. The research was undertaken using data collected through a questionnaire obtained from surveying resident medical officers administering the Smokers’ Clinic following a 10-week rural community mental health rotation.

Materials and methods

Twenty resident medical officers completed the 10-week rotation, with 14 completing the questionnaire. Knowledge of tobacco smoking, nicotine dependence and smoking cessation interventions improved with the experience of the Smokers’ Clinic during the clinical rotation. Resident medical officers were motivated to spend additional time engaged in self-directed learning and all reported continued use of acquired experience and information in their clinical work after the rotation.

Conclusion

This study indicates the utility of a novel approach in delivering education, training, building clinical expertise, and facilitating sustained clinical capacity amongst junior medical staff for smoking cessation in a rural community mental health setting. It offers an efficient approach for mental health services to deliver smoking cessation services to reduce the morbidity and mortality burden associated with tobacco smoking.
Decreased resting-state neural signal in the left angular gyrus as a potential neuroimaging biomarker of schizophrenia: An amplitude of low-frequency fluctuation and support vector machine analysis
Authors: Gao Yujun , Tong Xin , Hu Jianxiu , Huang Hanjun , Guo Tian , Wang Gang , Li Yi , Wang Gaohua
Published: August 2022

Objective

Schizophrenia (SCH) is primarily diagnosed based on specific clinical symptoms, with the lack of any objective SCH-related biomarkers often resulting in patient misdiagnosis and the underdiagnosis of this condition. This study was developed to assess the utility of amplitude of low-frequency fluctuation (ALFF) values analyzed via support vector machine (SVM) methods as a means of diagnosing SCH.

Methods

In total, 131 SCH patients and 128 age- and gender-matched healthy control (HC) individuals underwent resting-state functional magnetic resonance imaging (rs-fMRI), with the resultant data then being analyzed using ALFF values and SVM methods.

Results

Relative to HC individuals, patients with SCH exhibited ALFF reductions in the left angular gyrus (AG), fusiform gyrus, anterior cingulate cortex (ACC), right cerebellum, bilateral middle temporal gyrus (MTG), and precuneus (PCu) regions. No SCH patient brain regions exhibited significant increases in ALFF relative to HC individuals. SVM results indicated that reductions in ALFF values in the bilateral PCu can be used to effectively differentiate between SCH patients and HCs with respective accuracy, sensitivity, and specificity values of 73.36, 91.60, and 54.69%.

Conclusion

These data indicate that SCH patients may exhibit characteristic reductions in regional brain activity, with decreased ALFF values of the bilateral PCu potentially offering value as a candidate biomarker capable of distinguishing between SCH patients and HCs.
Emotional exhaustion and unhealthy eating among COVID-19 front-line healthcare workers during recuperation: A cross-sectional study
Authors: Yan Wei , Zhou Xinyao , Song Caiping , Luo Xu , Wang Huan , Yin Pengpeng , Wu Hao , Ye Junying
Published: August 2022

Objective

Thousands of healthcare workers on the frontlines who have been battling the COVID-19 pandemic could face emotional and mental health risks even after their critical pandemic work. This study examined the impact of affective rumination on emotional exhaustion and the spillover effect of affective rumination on unhealthy food consumption among healthcare workers during recuperation.

Methods

A total of 418 frontline healthcare workers from 10 Chinese medical institutions were recruited through random cluster sampling. A linear mixed model in SPSS25.0 was performed for hierarchical regression to analyze the effect of affective rumination on unhealthy food consumption via emotional exhaustion. A conditional process analysis was employed to investigate the moderating role of family support in the mediating effect of emotional exhaustion.

Results

Front-line healthcare workers scored at a medium level on an emotional exhaustion scale (2.45 ± 0.88). Affective rumination mediated by emotional exhaustion had a significant positive predictive effect on unhealthy food consumption. The indirect effect accounted for ~43.9% of the total effect. Family support amplified the effect of emotional exhaustion on unhealthy food consumption (β = 0.092, p < 0.05).

Conclusion

Affective rumination could be a cause of emotional exhaustion and unhealthy food consumption. First-line healthcare workers could be screened for possible emotional exhaustion through the evaluation of affective rumination in order to provide them with targeted interventions. Family support did not prove to be beneficial in all cases as it enhanced the positive effect of emotional exhaustion on unhealthy eating in the current study. Therefore, family support should be carefully integrated in future interventions.
Aggressive measures, rising inequalities, and mass formation during the COVID-19 crisis: An overview and proposed way forward
Authors: Schippers Michaéla C. , Ioannidis John P. A. , Joffe Ari R.
Published: August 2022

A series of aggressive restrictive measures were adopted around the world in 2020–2022 to attempt to prevent SARS-CoV-2 from spreading. However, it has become increasingly clear the most aggressive (lockdown) response strategies may involve negative side-effects such as a steep increase in poverty, hunger, and inequalities. Several economic, educational, and health repercussions have fallen disproportionately on children, students, young workers, and especially on groups with pre-existing inequalities such as low-income families, ethnic minorities, and women. This has led to a vicious cycle of rising inequalities and health issues. For example, educational and financial security decreased along with rising unemployment and loss of life purpose. Domestic violence surged due to dysfunctional families being forced to spend more time with each other. In the current narrative and scoping review, we describe macro-dynamics that are taking place because of aggressive public health policies and psychological tactics to influence public behavior, such as mass formation and crowd behavior. Coupled with the effect of inequalities, we describe how these factors can interact toward aggravating ripple effects. In light of evidence regarding the health, economic and social costs, that likely far outweigh potential benefits, the authors suggest that, first, where applicable, aggressive lockdown policies should be reversed and their re-adoption in the future should be avoided. If measures are needed, these should be non-disruptive. Second, it is important to assess dispassionately the damage done by aggressive measures and offer ways to alleviate the burden and long-term effects. Third, the structures in place that have led to counterproductive policies should be assessed and ways should be sought to optimize decision-making, such as counteracting groupthink and increasing the level of reflexivity. Finally, a package of scalable positive psychology interventions is suggested to counteract the damage done and improve humanity's prospects.
Low educational status correlates with a high incidence of mortality among hypertensive subjects from Northeast Rural China
Authors: Yu Shasha , Guo Xiaofan , Li GuangXiao , Yang Hongmei , Zheng Liqiang , Sun Yingxian
Published: August 2022

Objective

Cumulative evidence indicates that education plays a major role in predicting cardiovascular risk factors. In this study, we intend to examine the possible relationship between education status and mortality in a large general subject from rural China.

Methods

Adult hypertensive subjects (n = 5,227, age = 57.22 ± 10.18 years; 49.1% men) were recruited from general population surveys (Northeast China Rural Cardiovascular Health Study). Their educational status was categorized into two groups as follows: (1) Low education (illiterate or lower than primary school) and (2) medium-high education (higher than primary school). Cardiometabolic comorbidities, related cardiovascular risk factors, and echocardiographic measurements were analyzed in both groups.

Results

Less educated hypertensive subjects had significantly higher prevalence of obesity, diabetes, dyslipidemia, and left ventricular hypertrophy than medium-high educated hypertensive subjects. In the medium-high educated subjects, a significant increase in left ventricular ejection fraction and lower rate of antihypertensive medication was found. Cox proportional hazards analysis indicated that medium-high education was independently associated with all-cause mortality (hazard ratio = 0.76; 95% confidence interval, 0.58, 0.99; P = 0.043) and cardiovascular mortality (hazard ratio = 0.65; 95% confidence interval, 0.44, 0.96; P = 0.028).

Conclusion

Education may act as the best predictor of all-cause and cardiovascular mortality in rural hypertensive subjects. This finding suggests that in rural areas, education is likely to represent a cardiovascular specific risk factor and should be evaluated in the strategies of hypertension.
Predicting malaria outbreaks from sea surface temperature variability up to 9 months ahead in Limpopo, South Africa, using machine learning
Authors: Martineau Patrick , Behera Swadhin K. , Nonaka Masami , Jayanthi Ratnam , Ikeda Takayoshi , Minakawa Noboru , Kruger Philip , Mabunda Qavanisi E.
Published: August 2022

Malaria is the cause of nearly half a million deaths worldwide each year, posing a great socioeconomic burden. Despite recent progress in understanding the influence of climate on malaria infection rates, climatic sources of predictability remain poorly understood and underexploited. Local weather variability alone provides predictive power at short lead times of 1–2 months, too short to adequately plan intervention measures. Here, we show that tropical climatic variability and associated sea surface temperature over the Pacific and Indian Oceans are valuable for predicting malaria in Limpopo, South Africa, up to three seasons ahead. Climatic precursors of malaria outbreaks are first identified via lag-regression analysis of climate data obtained from reanalysis and observational datasets with respect to the monthly malaria case count data provided from 1998–2020 by the Malaria Institute in Tzaneen, South Africa. Out of 11 sea surface temperature sectors analyzed, two regions, the Indian Ocean and western Pacific Ocean regions, emerge as the most robust precursors. The predictive value of these precursors is demonstrated by training a suite of machine-learning classification models to predict whether malaria case counts are above or below the median historical levels and assessing their skills in providing early warning predictions of malaria incidence with lead times ranging from 1 month to a year. Through the development of this prediction system, we find that past information about SST over the western Pacific Ocean offers impressive prediction skills (~80% accuracy) for up to three seasons (9 months) ahead. SST variability over the tropical Indian Ocean is also found to provide good skills up to two seasons (6 months) ahead. This outcome represents an extension of the effective prediction lead time by about one to two seasons compared to previous prediction systems that were more computationally costly compared to the machine learning techniques used in the current study. It also demonstrates the value of climatic information and the prediction framework developed herein for the early planning of interventions against malaria outbreaks.
Genomic surveillance of SARS-CoV-2 by sequencing the RBD region using Sanger sequencing from North Kerala
Authors: Dhanasooraj Dhananjayan , Viswanathan Prasanth , Saphia Shammy , Jose Beena Philomina , Parambath Fairoz Cheriyalingal , Sivadas Saritha , Akash N. P. , Vimisha T. V. , Nair Priyanka Raveendranadhan , Mohan Anuja , Hafeez Nimin , Poovullathi Jayesh Kumar , Vadekkandiyil Shameer , Govindan Sajeeth Kumar Keriyatt , Khobragade Rajan , Aravindan KP , Radhakrishnan Chandni
Published: August 2022

Next Generation Sequencing (NGS) is the gold standard for the detection of new variants of SARS-CoV-2 including those which have immune escape properties, high infectivity, and variable severity. This test is helpful in genomic surveillance, for planning appropriate and timely public health interventions. But labs with NGS facilities are not available in small or medium research settings due to the high cost of setting up such a facility. Transportation of samples from many places to few centers for NGS testing also produces delays due to transportation and sample overload leading in turn to delays in patient management and community interventions. This becomes more important for patients traveling from hotspot regions or those suspected of harboring a new variant. Another major issue is the high cost of NGS-based tests. Thus, it may not be a good option for an economically viable surveillance program requiring immediate result generation and patient follow-up. The current study used a cost-effective facility which can be set up in a common research lab and which is replicable in similar centers with expertise in Sanger nucleotide sequencing. More samples can be processed at a time and can generate the results in a maximum of 2 days (1 day for a 24 h working lab). We analyzed the nucleotide sequence of the Receptor Binding Domain (RBD) region of SARS-CoV-2 by the Sanger sequencing using in-house developed methods. The SARS-CoV-2 variant surveillance was done during the period of March 2021 to May 2022 in the Northern region of Kerala, a state in India with a population of 36.4 million, for implementing appropriate timely interventions. Our findings broadly agree with those from elsewhere in India and other countries during the period.
SDG 7 requires post-growth energy sufficiency
Authors: Burke Matthew J. , Melgar Rigo
Published: August 2022

Sustainable Development Goal 7 (SDG 7) aims to achieve “energy for all” by improving energy security for the world's poor while supporting a global transition toward low-carbon energy sources. The aim of this policy brief is to evaluate and propose energy sufficiency as a feasible policy response to negative interactions of SDG 7, for climate (SDG 13), the biophysical environment (SDG 14 and 15), and social equity (SDG 10), when linked to the pursuit of unending economic growth (SDG 8). Recommendations for SDG 7 target economy-wide absolute and per capita limits in overall energy use to precede adjustments in technology and behavior, thus shifting from energy excess for some to energy sufficiency for all.
Sufficiency and transformation–A semi-systematic literature review of notions of social change in different concepts of sufficiency
Authors: Lage Jonas
Published: August 2022

Sufficiency is an indispensable strategy for sustainable development that is gaining growing attention in both the scientific and the political sphere. Nevertheless, the question of how sufficiency-oriented social change can be shaped by different actors remains unclear. There are many different concepts of sufficiency and all of them entail certain notions of social change. However, these notions of social change remain mostly implicit. By conducting a semi-systematic literature review on sufficiency and transformation, this article makes explicit notions of social change in various concepts of sufficiency. Additionally, these notions are structured and discussed concerning their possible contribution to a broader socio-ecological transformation to advance the debate about sufficiency-oriented strategies. The literature was sampled by a systematic search in the databases of Web of Science and the ENOUGH-Network, a European network of sufficiency researchers, and complemented by texts known to the author. In total 133 articles, books and book chapters were reviewed. The sufficiency concepts were analyzed regarding two dimensions: the goal of and the approach toward social change. Various ecological and sometimes social goals that different concepts of sufficiency pursue were identified. Some scholars operationalize the social and ecological goals in a sufficiency-specific way as consumption corridors or a pathway toward a post-growth economy. Furthermore, three different approaches to sufficiency-oriented social change were identified: a bottom-up-approach, a policy-making-approach and a social-movement-approach. Specific contributions and limitations of these approaches were identified. The three approaches differ regarding the role of conflicts and the conceptualization of behavior and social practices. By interpreting the results utilizing the Multi-Level-Perspective of Sustainability Transition Research and Erik O. Wright's transformation theory, synergies for sufficiency-oriented social change were identified. The review founds a theoretical basis for further empirical and theoretical research on shaping sufficiency-oriented social change.
Targeting bladder urothelial carcinoma with pHLIP-ICG and inhibition of urothelial cancer cell proliferation by pHLIP-amanitin
Authors: Moshnikova Anna , Golijanin Borivoj , Amin Ali , Doyle Joshua , Kott Ohad , Gershman Boris , DuPont Michael , Li Yujing , Lu Xiongbin , Engelman Donald M. , Andreev Oleg A. , Reshetnyak Yana K. , Golijanin Dragan
Published: August 2022

Acidity is a useful biomarker for the targeting of metabolically active cells in tumors. pH Low Insertion Peptides (pHLIPs) sense the pH at the surfaces of tumor cells and can facilitate intracellular delivery of cell-permeable and cell-impermeable cargo molecules. In this study we have shown the targeting of malignant lesions in human bladders by fluorescent pHLIP agents, intracellular delivery of amanitin toxin by pHLIP for the inhibition of urothelial cancer cell proliferation, and enhanced potency of pHLIP-amanitin for cancer cells with 17p loss, a mutation frequently present in urothelial cancers. Twenty-eight ex-vivo bladder specimens, from patients undergoing robotic assisted laparoscopic radical cystectomy for bladder cancer, were treated via intravesical incubation for 15-60 minutes with pHLIP conjugated to indocyanine green (ICG) or IR-800 near infrared fluorescent (NIRF) dyes at concentrations of 4-8 μM. White light cystoscopy identified 47/58 (81%) and NIRF pHLIP cystoscopy identified 57/58 (98.3%) of malignant lesions of different subtypes and stages selected for histopathological processing. pHLIP NIRF imaging improved diagnosis by 17.3% (p < 0.05). All carcinoma-in-situ cases missed by white light cystoscopy were targeted by pHLIP agents and were diagnosed by NIRF imaging. We also investigated the interactions of pHLIP-amanitin with urothelial cancer cells of different grades. pHLIP-amanitin produced concentration- and pH-dependent inhibition of the proliferation of urothelial cancer cells treated for 2 hrs at concentrations up to 4 μM. A 3-4x enhanced cytotoxicity of pHLIP-amanitin was observed for cells with a 17p loss after 2 hrs of treatment at pH6. Potentially, pHLIP technology may improve the management of urothelial cancers, including imaging of malignant lesions using pHLIP-ICG for diagnosis and surgery, and the use of pHLIP-amanitin for treatment of superficial bladder cancers via intravesical instillation.
Similar strength gains at lower perceived efforts via cluster set vs. traditional home-based online training: A 6 weeks randomized controlled trial
Authors: Rappelt Ludwig , Held Steffen , Leicht Mario , Wicker Pamela , Donath Lars
Published: August 2022

Cluster Training (CT) has been shown to induce strength at lower perceived efforts compared to traditional training (TRT) with sets performed to repetition failure. These findings have not yet been extended to remote online training in middle-aged to older people. Thus the present study aimed at investigating whether a cluster set online training with bodyweight exercises is similar in its effectiveness a more demanding traditional strength training employed with a traditional set structure. A total of n = 21 participants (14 female, 55 ± 12 years, 76.4 ± 16.1 kg, 1.71 ± 0.10 m, 74 ± 72 min of activity/w) were randomly assigned to either a CT or volume-, load-, and work-to-rest-ratio-matched TRT. After an initial 6-week run-in-phase, all participants were engaged into an online live-instructed full-body workout twice a week (40 min each) for a period of 6 weeks. Rates of perceived efforts (RPE) were assessed for each session (session RPE; sRPE). Changes in maximal voluntary contraction (MVC) at leg press (LP) and abdominal press (AP) as well as one-minute-sit-to-stand and Y-Balance-Test (YBT) were compared between BASELINE and PRE (ΔRUN-IN) and between PRE and POST (ΔINTERVENTION). In LP, TRT showed greater improvements with large effect sizes in ΔINTERVENTION compared to ΔRUN-IN. In CT, greater improvements with moderate effects were found in ΔINTERVENTION compared to ΔRUN-IN. In AP, both CT and TRT showed larger improvements with large effect sizes in ΔINTERVENTION compared to ΔRUN-IN. In YBT, a significant and large main effect for time was found indicating larger improvements for ΔINTERVENTION compared to ΔRUN-IN. CT showed lower sRPE than TRT. Both CT and TRT led to similar adaptations in MVC and balance performance. However, the perceived effort of CT was rated lower than for TRT. Therefore, conducting resistance training with a cluster set structure seems to be a suitable approach for training programs in middle-aged and older people.
Metabolomic profiling identifies biomarkers and metabolic impacts of surgery for colorectal cancer
Authors: Zhuang Feng , Bai Xuesong , Shi Yang , Chang Le , Ai Wanchao , Du Juan , Liu Wei , Liu Humin , Zhou Xukun , Wang Zhong , Hong Tao
Published: August 2022

Background

Colorectal cancer (CRC) is one of the most common malignant tumors with recurrence and metastasis after surgical resection. This study aimed to identify the physiological changes after surgery and explore metabolites and metabolic pathways with potential prognostic value for CRC.

Methods

An ultra-high-performance liquid chromatography Q-exactive mass spectrometry was used to profile serum metabolites from 67 CRC patients and 50 healthy volunteers. Principal component analysis (PCA) and orthogonal projections to latent structures-discriminant analysis were used to distinguish the internal characteristics of data in different groups. Multivariate statistics were compiled to screen the significant metabolites and metabolic pathways.

Result

A total of 180 metabolites were detected. Under the conditions of variable importance in projection >1 and p-value <0.05, 46 differentially expressed metabolites were screened for further pathway enrichment analysis. Based on the Kyoto Encyclopedia of Genes and Genomes database and Small Molecule Pathway Database, three metabolic pathways—arginine and proline metabolism, ascorbate and aldarate metabolism, and phenylalanine metabolism—were significantly altered after surgical resection and identified as associated with the removal of CRC. Notably, gamma-linolenic acid was upregulated in the CRC preoperative patients compared with those in healthy volunteers but returned to healthy levels after surgery.

Conclusion

Through serum-based metabolomics, our study demonstrated the differential metabolic characteristics in CRC patients after surgery compared with those before surgery. Our results suggested that metabonomic analysis may be a powerful method for exploring physiological alterations in CRC patients after surgery as well as a useful tool for identifying candidate biomarkers and monitoring disease recurrence.
Construction of a new clinical staging system for colorectal cancer based on the lymph node ratio: A validation study
Authors: Yang Yan , Wang Yawei , Wang Zhengbin
Published: August 2022

Aim

This study aims to construct a new staging system for colorectal cancer (CRC) based on the lymph node ratio (LNR) as a supplement to the American Joint Committee on Cancer (AJCC) tumor node metastasis (TNM) staging system for predicting the prognosis of CRC patients with <12 lymph nodes.

Methods

The data of 26,695 CRC patients with <12 lymph nodes were extracted from the Surveillance, Epidemiology, and End Results (SEER) database as a training set. A total of 635 CRC patients were also enrolled from Northern Jiangsu People's Hospital affiliated with Yangzhou University as an independent validation set. Classification and regression tree analysis was used to obtain the LNR cutoff value. Survival curves were estimated using the Kaplan–Meier method, and the log-rank test was used for comparisons of differences among the survival curves. The monotonic decreasing trend of the overall survival curve in the staging system was expressed by the linear correlation degree R.

Results

The 5-year survival rates of patients in the training set based on the AJCC staging system from stage I to stage IV were 75.6% (95%CI: 74.4–76.8), 59.8% (95%CI: 58.6–61.0), 42.1% (95%CI: 34.5–49.7), 33.2% (95%CI: 24.6–41.8), 72.0% (95%CI: 69.1–74.9), 48.8% (95%CI: 47.4–50.2), 26.5% (95%CI: 23.0–30.0), and 11.3% (95%CI: 10.3–12.3). The 5-year survival rates of patients in the training set from stage I to stage IIIC were 80.4%, 72.9%, 59.8%, 48.4%, 32.5%, and 15.0%, according to the TNM + LNR (TNRM) staging system. According to the AJCC staging system, the 5-year survival rates of patients in the validation set from stage I to stage IIIC were 91.3%, 90.8%, 72.6%, 61.3%, 72.4%, 58.1%, and 32.8%. Based on the TNRM staging system, the 5-year survival rates of patients in the validation set from stage I to stage IIIC were 99.2%, 90.5%, 81.4%, 78.6%, 60.2%, and 35.8%.

Conclusion

The TNRM staging system successfully eliminated “survival paradox” in the AJCC staging system, which might be superior to the AJCC staging system.
Temporal changes of the respiratory microbiota as cats transition from health to experimental acute and chronic allergic asthma
Authors: Vientós-Plotts Aida I. , Ericsson Aaron C. , McAdams Zachary L. , Rindt Hansjorg , Reinero Carol R.
Published: August 2022

In humans, deviation from a core airway microbiota may predispose to development, exacerbation, or progression of asthma. We proposed to describe microbiota changes using 16 rRNA sequencing in samples from the upper and lower airways, and rectal swabs of 8 cats after experimental induction of asthma using Bermuda grass allergen, in acute (6 weeks) and chronic (36 weeks) stages. We hypothesized that asthma induction would decrease richness and diversity and alter microbiota composition and structure in the lower airways, without significantly impacting other sites. After asthma induction, richness decreased in rectal (p = 0.014) and lower airway (p = 0.016) samples. B diversity was significantly different between health and chronic asthma in all sites, and between all time points for lower airways. In healthy lower airways Pseudomonadaceae comprised 80.4 ± 1.3% whereas Sphingobacteriaceae and Xanthobacteraceae predominated (52.4 ± 2.2% and 33.5 ± 2.1%, respectively), and Pseudomonadaceae was absent, in 6/8 cats with chronic asthma. This study provides evidence that experimental induction of asthma leads to dysbiosis in the airways and distant sites in both the acute and chronic stages of disease.

This article has been published alongside “Respiratory dysbiosis in cats with spontaneous allergic asthma” (1).
Does Elderly Chronic Disease Hinder the Sustainability of Borderline Poor Families’ Wellbeing: An Investigation From Catastrophic Health Expenditure in China
Authors: Xu Xiaocang , Yang Haoran
Published: August 2022

Objectives: Health and health expenditure caused by elderly chronic diseases are a global problem. As China has just lifted itself out of poverty in 2020, the sustainable development of Borderline Poor Families’ Wellbeing faces severe challenges. Therefore, it is of great practical significance to explore the impact of elderly chronic diseases on the catastrophic health expenditure of Borderline Poor Families.

Methods: Based on screening 8086 effective samples from China Health and Retirement Longitudinal Study (CHARLS) database and calculating catastrophic health expenditure, this paper uses two-part model and logit regression to discuss the impact of elderly chronic diseases on the sustainable development of Borderline Poor Families’ Wellbeing.

Results: The results showed that stroke, cancer, and liver disease caused the most catastrophic health expenditures and had the greatest impact on the Borderline Poor Families’ Wellbeing.

Conclusion: Therefore, in order to ensure the sustainable development of Borderline Poor Families’ Wellbeing, the government should strengthen the publicity of pre-prevention and post-healthcare of chronic diseases such as stroke, and combine pre-prevention policy with post-guarantee policy.
Predictors of Satisfaction With Life and Health Status of Older People in Brunei: A Gender Comparative Study
Authors: Abdul Rahman Hanif , Tengah Armah , Mohd Yusof Yusnani , Slesman Ly , Hoon Chang-Yau , Abdul-Mumin Khadizah H.
Published: August 2022

Objective: To investigate predictors of life satisfaction and healthy aging with focus on gender differences among older people in Brunei Darussalam.

Methods: A cross-sectional study on older people recruited by proportionate sampling. Multiple linear regression stratified by gender was applied.

Results: 45.6% of life satisfaction of older women were strongly associated with self-perceived health, social relationship, and education level. For older men, 26.3% of the variance of life satisfaction was predicted by physical functioning or disability, and social relationship. For older women, 38.9% of the variance of health status can be explained with satisfaction with life, and difficulty to do daily tasks. For older men, 33.1% of the variance of health status can be accounted by income, number of children, presence of chronic illness, and diabetes.

Conclusion: This paper discusses the unique gender differences of older people from a global perspective. Policymakers and stakeholders need to account for local and contextual differences before adopting international guideline. Particularly, on the maintenance or further promotion social interactions, active engaging elderly in health maintenance, and physical and mental functioning of the older population.
Deceased Donor Characteristics and Kidney Transplant Outcomes
Authors: Sharif Adnan
Published: August 2022

Kidney transplantation is the therapy of choice for people living with kidney failure who are suitable for surgery. However, the disparity between supply versus demand for organs means many either die or are removed from the waiting-list before receiving a kidney allograft. Reducing unnecessary discard of deceased donor kidneys is important to maximize utilization of a scarce and valuable resource but requires nuanced decision-making. Accepting kidneys from deceased donors with heterogenous characteristics for waitlisted kidney transplant candidates, often in the context of time-pressured decision-making, requires an understanding of the association between donor characteristics and kidney transplant outcomes. Deceased donor clinical factors can impact patient and/or kidney allograft survival but risk-versus-benefit deliberation must be balanced against the morbidity and mortality associated with remaining on the waiting-list. In this article, the association between deceased kidney donor characteristics and post kidney transplant outcomes for the recipient are reviewed. While translating this evidence to individual kidney transplant candidates is a challenge, emerging strategies to improve this process will be discussed. Fundamentally, tools and guidelines to inform decision-making when considering deceased donor kidney offers will be valuable to both professionals and patients.
SepFree NMF: A Toolbox for Analyzing the Kinetics of Sequential Spectroscopic Data
Authors: Sechi Renata , Fackeldey Konstantin , Chewle Surahit , Weber Marcus
Published: August 2022

This work addresses the problem of determining the number of components from sequential spectroscopic data analyzed by non-negative matrix factorization without separability assumption (SepFree NMF). These data are stored in a matrix M of dimension “measured times” versus “measured wavenumbers” and can be decomposed to obtain the spectral fingerprints of the states and their evolution over time. SepFree NMF assumes a memoryless (Markovian) process to underline the dynamics and decomposes M so that M=WH, with W representing the components’ fingerprints and H their kinetics. However, the rank of this decomposition (i.e., the number of physical states in the process) has to be guessed from pre-existing knowledge on the observed process. We propose a measure for determining the number of components with the computation of the minimal memory effect resulting from the decomposition; by quantifying how much the obtained factorization is deviating from the Markovian property, we are able to score factorizations of a different number of components. In this way, we estimate the number of different entities which contribute to the observed system, and we can extract kinetic information without knowing the characteristic spectra of the single components. This manuscript provides the mathematical background as well as an analysis of computer generated and experimental sequentially measured Raman spectra.
Greenhouse Natural Ventilation Models: How Do We Develop with Chinese Greenhouses?
Authors: Zhang Jingfu , Zhao Shumei , Dai Anguo , Wang Pingzhi , Liu Zhiwei , Liang Bohua , Ding Tao
Published: August 2022

Greenhouse technology has advanced over the past few decades in terms of environmental control (e.g., indoor temperature, relative humidity, and CO2 concentration). Ventilation is an effective way to adjust the indoor climate. Natural ventilation has gained significant research attention recently because of its low energy requirement. To evaluate the ventilation effectiveness, the ventilation rate is often used. This review summarizes the published review papers related to greenhouse ventilation. Ventilation models are reported under different conditions, including wind-induced, buoyancy-induced, and combined effects-induced ventilation in greenhouses. The influencing factors are described, such as the wind and buoyancy strength and distribution, greenhouse geometry, and vent arrangement. Various methods assessing natural ventilation in greenhouses are introduced, consisting of tracer gas techniques, the pressure difference method, the energy balance method, the emptying fluid-filling box method, and numerical simulation. The values of the key coefficients deduced and used in the literature are listed. This paper reports what has been done in the world and where we can start to develop dynamic ventilation models for solar and tunnel-type greenhouses in China. Further valuable investigations are discussed. The pressure distribution function in greenhouses with horizontal openings, a model for cross-ventilation induced by combined wind and buoyancy force, and an analytical plant-considered ventilation model with higher applicability are described. To ensure the accuracy of the ventilation models, other environmental variables, especially geography-dependent ones, can be added. More criteria are suggested to evaluate the ventilation performance rather than the ventilation rate to provide a comprehensive assessment.