Predictors of psychopathology response in atypical anorexia nervosa following inpatient treatment: A propensity score matching study of weight suppression and weight loss speed.

INTRODUCTION: This study examines weight suppression (WS) and weight loss speed (WLS) in atypical anorexia nervosa (AN) and its implications for treatment outcomes, compared to people with AN and bulimia nervosa (BN). METHOD: A mixed cross-sectional and prospective design was employed, assessing WS and WLS in people with atypical AN, AN, and BN. Participants were matched for age, gender, age of onset, and disorder duration. Clinical measurements and eating disorders questionnaire (EDE-Q) scores were employed to evaluate the response to treatment. RESULTS: Individuals with atypical individuals exhibited WS patterns similar to AN, distinct from BN. Rapid WLS predicted clinical responses in atypical AN and BN, underscoring its treatment relevance. Atypical AN showed higher eating psychopathology scores than AN or BN, emphasizing the need for a reframed diagnosis. DISCUSSION: Understanding atypical AN's connection to restrictive behaviors and weight loss informs screening, assessment, and treatment practices. Recognition of atypical AN's severity and adoption of tailored approaches are essential for recovery. This study highlights the significance of WS and WLS in atypical AN treatment outcomes, offering insights into clinical practice and care. The proposal to reframe atypical AN as a restrictive eating disorder emphasizes its clinical relevance. PUBLIC SIGNIFICANCE STATEMENT: The phenomenon of weight suppression, involving the discrepancy between past highest weight and current weight, has garnered attention due to cultural pressures emphasizing fitness and appearance. This study focuses on its implications in atypical anorexia nervosa, aiming to uncover the relationship between WS, its speed, and treatment outcomes. The investigation contributes insights into tailored interventions for atypical anorexia nervosa and enriches the understanding of this complex disorder's dynamics.

A Pilot Interaction Analysis of Gut Microbiota and Peripheral Markers of Aging in Severe Psychiatric Disorders: A Role for Lachnoclostridium?

Excessive predominance of pathological species in the gut microbiota could increase the production of inflammatory mediators at the gut level and, via modification of the gut-blood barrier, at the systemic level. This pro-inflammatory state could, in turn, increase biological aging that is generally proxied by telomere shortening. In this study, we present findings from a secondary interaction analysis of gut microbiota, aging, and inflammatory marker data from a cohort of patients with different diagnoses of severe mental disorders. We analyzed 15 controls, 35 patients with schizophrenia (SCZ), and 31 patients with major depressive disorder (MDD) recruited among those attending a community mental health center (50 males and 31 females, mean and median age 46.8 and 46.3 years, respectively). We performed 16S rRNA sequencing as well as measurement of telomere length via quantitative fluorescence in situ hybridization and high-sensitivity C-reactive protein. We applied statistical modeling with logistic regression to test for interaction between gut microbiota and these markers. Our results showed statistically significant interactions between telomere length and gut microbiota pointing to the genus Lachnostridium, which remained significantly associated with a reduced likelihood of MDD even after adjustment for a series of covariates. Although exploratory, these findings show that specific gut microbiota signatures overexpressing Lachnoclostridium and interacting with biological aging could modulate the liability for MDD.

Fecal Microbiota and Associated Volatile Organic Compounds Distinguishing No-Adenoma from High-Risk Colon Adenoma Adults.

Microbiota and the metabolites they produce within the large intestine interact with the host epithelia under the influence of a range of host-derived metabolic, immune, and homeostatic factors. This complex host-microbe interaction affects intestinal tumorigenesis, but established microbial or metabolite profiles predicting colorectal cancer (CRC) risk are missing. Here, we aimed to identify fecal bacteria, volatile organic compounds (VOC), and their associations that distinguish healthy (non-adenoma, NA) from CRC prone (high-risk adenoma, HRA) individuals. Analyzing fecal samples obtained from 117 participants ≥15 days past routine colonoscopy, we highlight the higher abundance of Proteobacteria and Parabacteroides distasonis, and the lower abundance of Lachnospiraceae species, Roseburia faecis, Blautia luti, Fusicatenibacter saccharivorans, Eubacterium rectale, and Phascolarctobacterium faecium in the samples of HRA individuals. Volatolomic analysis of samples from 28 participants revealed a higher concentration of five compounds in the feces of HRA individuals, isobutyric acid, methyl butyrate, methyl propionate, 2-hexanone, and 2-pentanone. We used binomial logistic regression modeling, revealing 68 and 96 fecal bacteria-VOC associations at the family and genus level, respectively, that distinguish NA from HRA endpoints. For example, isobutyric acid associations with Lachnospiraceae incertae sedis and Bacteroides genera exhibit positive and negative regression lines for NA and HRA endpoints, respectively. However, the same chemical associates with Coprococcus and Colinsella genera exhibit the reverse regression line trends. Thus, fecal microbiota and VOC profiles and their associations in NA versus HRA individuals indicate the significance of multiple levels of analysis towards the identification of testable CRC risk biomarkers.

New Insights in the Era of Clinical Biomarkers as Potential Predictors of Systemic Therapy-Induced Cardiotoxicity in Women with Breast Cancer: A Systematic Review.

Cardiotoxicity induced by breast cancer therapies is a potentially serious complication associated with the use of various breast cancer therapies. Prediction and better management of cardiotoxicity in patients receiving chemotherapy is of critical importance. However, the management of cancer therapy-related cardiac dysfunction (CTRCD) lacks clinical evidence and is based on limited clinical studies. AIM: To provide an overview of existing and potentially novel biomarkers that possess a promising predictive value for the early and late onset of CTRCD in the clinical setting. METHODS: A systematic review of published studies searching for promising biomarkers for the prediction of CTRCD in patients with breast cancer was undertaken according to PRISMA guidelines. A search strategy was performed using PubMed, Google Scholar, and Scopus for the period 2013-2023. All subjects were >18 years old, diagnosed with breast cancer, and received breast cancer therapies. RESULTS: The most promising biomarkers that can be used for the development of an alternative risk cardiac stratification plan for the prediction and/or early detection of CTRCD in patients with breast cancer were identified. CONCLUSIONS: We highlighted the new insights associated with the use of currently available biomarkers as a standard of care for the management of CTRCD and identified potentially novel clinical biomarkers that could be further investigated as promising predictors of CTRCD.

Preparing for the next pandemic by understanding the impact of COVID-19 mitigation measures on patients with eating Disorders: observations from an inpatient setting.

OBJECTIVE: The COVID-19 pandemic overwhelmed eating disorder (ED) services worldwide. Data suggests a worsening of psychopathology and an increased request for specialised treatments. Still, the studies are mostly based on experimental protocols with underpowered short-term opportunistic experimental designs. Thus, this study aims to assess the clinical and psychological differences between patients admitted to a specialised ED Unit before and after the COVID-19 breakout. METHODS: Consecutive patients admitted from June 2014 to February 2022 in a specialised EDs Unit were enrolled. A total sample of 498 individuals was enrolled in this retrospective study, collecting demographic and psychopathological data at admission. RESULTS: An increase in the admission of patients with anorexia nervosa has been reported, with lower age and higher levels of specific and general psychopathology, especially linked to body uneasiness. CONCLUSIONS: Results are put into the context of the preparation for the next pandemic that may require similar mitigation measures as COVID-19 to ensure the impact on existing and new patients. Covering an extended period with validated tools, our results might help psychiatric services to reassess their treatment pathways after the pandemic, helping clinicians to delineate future treatment interventions.KEYPOINTSAfter the COVID-19 breakdown, there was an increase in the admission of patients with anorexia nervosa to specialised services.More severe psychopathology was not accompanied by lower body mass index.Specialised eating disorders services should face sudden changes in patients' requests for treatment.Understanding the impact of the Covid-19 pandemic and the resulting mitigation measures taken can lead to better preparations for the next pandemic.

Understanding dropout and non-participation in follow-up evaluation for the benefit of patients and research: evidence from a longitudinal observational study on patients with eating disorders.

Treatment outcomes in eating disorders (EDs) are still an open field for clinicians and researchers. Besides difficulties in egosyntonic-linked treatment engagements, dropout is one of the most crucial elements that cause a reduction in the treatment efficacy. Thus, the aim of this study is to evaluate factors that could contribute to high dropout rates and non-participation in follow-up evaluation in patients with ED. This study used a large sample of patients from a specialized ED ward and day hospital (DH). A sample of 428 individuals was recruited for this study. Psychological and demographic data were collected at the time of hospitalization and discharge from the facilities. These data were used to explore a possible link between dropout and follow-up non-participation. Specially, the random forest was used to rank demographic and psychological features in importance and evaluate the top results with regression analyses for statistical significance. A dropout rate of 12.14% during inpatient and DH treatment was found. Anger-hostility and general psychopathology were found to be predictors of dropout during treatment, while the duration of the hospitalization predicted non-participation at the six-month follow-up. Specific psychological features should be considered before and during treatments for patients with EDs to reduce dropout rates. The duration of the hospitalization should also be evaluated as a relevant healthcare element that could affect engagement and, accordingly, outcome.

Data structuring may prevent ambiguity and improve personalized medical prognosis.

Topics expected to influence personalized medicine (PM), where medical decisions, practices, and treatments are tailored to the individual patient, are reviewed. Lack of discrimination due to different biological conditions that express similar values of numerical variables (ambiguity) is regarded to be a major potential barrier for PM. This material explores possible causes and sources of ambiguity and offers suggestions for mitigating the impacts of uncertainties. Three causes of ambiguity are identified: (1) delayed adoption of innovations, (2) inadequate emphases, and (3) inadequate processes used when new medical practices are developed and validated. One example of the first problem is the relative lack of medical research on "compositional data" -the type that characterizes leukocyte data. This omission results in erroneous use of data abundantly utilized in medicine, such as the blood cell differential. Emphasis on data output ‒not biomedical interpretation that facilitates the use of clinical data‒ exemplifies the second type of problems. Reliance on tools generated in other fields (but not validated within biomedical contexts) describes the last limitation. Because reductionism is associated with these problems, non-reductionist alternatives are reviewed as potential remedies. Data structuring (converting data into information) is considered a key element that may promote PM. To illustrate a process that includes data-information-knowledge and decision-making, previously published data on COVID-19 are utilized. It is suggested that ambiguity may be prevented or ameliorated. Provided that validations are grounded on biomedical knowledge, approaches that describe certain criteria - such as non-overlapping data intervals of patients that experience different outcomes, immunologically interpretable data, and distinct graphic patterns - can inform, at personalized bases, earlier and/or with fewer observations.

A systematic review of miRNAs as biomarkers for chemotherapy-induced cardiotoxicity in breast cancer patients reveals potentially clinically informative panels as well as key challenges in miRNA research.

Breast cancer patients are at a particularly high risk of cardiotoxicity from chemotherapy having a detrimental effect on quality-of-life parameters and increasing the risk of mortality. Prognostic biomarkers would allow the management of therapies to mitigate the risks of cardiotoxicity in vulnerable patients and a key potential candidate for such biomarkers are microRNAs (miRNA). miRNAs are post-transcriptional regulators of gene expression which can also be released into the circulatory system and have been associated with the progression of many chronic diseases including many types of cancer. In this review, the evidence for the potential application of miRNAs as biomarkers for chemotherapy-induced cardiotoxicity (CIC) in breast cancer patientsis evaluated and a simple meta-analysis is performed to confirm the replication status of each reported miRNA. Further selection of miRNAs is performed by reviewing the reported associations of each miRNA with other cardiovascular conditions. Based on this research, the most representative panels targeting specific chemotherapy agents and treatment regimens are suggested, that contain several informative miRNAs, including both general markers of cardiac damage as well as those for the specific cancer treatments.

Colon Cancer: From Epidemiology to Prevention.

Colorectal cancer (CRC) is one of the most prevalent cancers affecting humans, with a complex genetic and environmental aetiology. Unlike cancers with known environmental, heritable, or sex-linked causes, sporadic CRC is hard to foresee and has no molecular biomarkers of risk in clinical use. One in twenty CRC cases presents with an established heritable component. The remaining cases are sporadic and associated with partially obscure genetic, epigenetic, regenerative, microbiological, dietary, and lifestyle factors. To tackle this complexity, we should improve the practice of colonoscopy, which is recommended uniformly beyond a certain age, to include an assessment of biomarkers indicative of individual CRC risk. Ideally, such biomarkers will be causal to the disease and potentially modifiable upon dietary or therapeutic interventions. Multi-omics analysis, including transcriptional, epigenetic as well as metagenomic, and metabolomic profiles, are urgently required to provide data for risk analyses. The aim of this article is to provide a perspective on the multifactorial derailment of homeostasis leading to the initiation of CRC, which may be explored via multi-omics and Gut-on-Chip analysis to identify much-needed predictive biomarkers.

Exercise and Occupational Stress among Firefighters.

The aim of our study was to evaluate the potential association between physical activity and occupational stress among firefighters. Data were collected from Cypriot firefighters through a web-based battery of internationally validated questionnaires completed anonymously (COPSOQ, DASS). A total of 430 firefighters (response rate 68%) completed the survey (age range: 21-60 years). More than half of the firefighters (54%) reported either no or minimal physical activity. A total of 11% of firefighters reported moderate to extremely severe stress based on the DASS-S scale. Using multivariable-adjusted logistic regression models, we showed that firefighters who exercised had 50% lower risk of occupational stress, and using a categorical model, we found that every hour per week of increased physical activity among firefighters was associated with 16% lower risk of occupational stress after adjusting for age, education, smoking, and body mass index (OR = 1.16; p = 0.05). In addition, our findings suggest an inverse dose-response relationship between physical activity and occupational stress among firefighters. Physical activity appears to be inversely associated with occupational stress and serves as an important mitigating factor of occupational stress in firefighters. Further research is warranted to evaluate the potential effect of exercise interventions on occupational stress, and the overall mental health of firefighters and other occupational groups.

Multi-Cellular Immunological Interactions Associated With COVID-19 Infections.

To rapidly prognosticate and generate hypotheses on pathogenesis, leukocyte multi-cellularity was evaluated in SARS-CoV-2 infected patients treated in India or the United States (152 individuals, 384 temporal observations). Within hospital (<90-day) death or discharge were retrospectively predicted based on the admission complete blood cell counts (CBC). Two methods were applied: (i) a "reductionist" one, which analyzes each cell type separately, and (ii) a "non-reductionist" method, which estimates multi-cellularity. The second approach uses a proprietary software package that detects distinct data patterns generated by complex and hypothetical indicators and reveals each data pattern's immunological content and associated outcome(s). In the Indian population, the analysis of isolated cell types did not separate survivors from non-survivors. In contrast, multi-cellular data patterns differentiated six groups of patients, including, in two groups, 95.5% of all survivors. Some data structures revealed one data point-wide line of observations, which informed at a personalized level and identified 97.8% of all non-survivors. Discovery was also fostered: some non-survivors were characterized by low monocyte/lymphocyte ratio levels. When both populations were analyzed with the non-reductionist method, they displayed results that suggested survivors and non-survivors differed immunologically as early as hospitalization day 1.

Bifidobacterium Is Enriched in Gut Microbiome of Kashmiri Women with Polycystic Ovary Syndrome.

Polycystic ovary syndrome (PCOS) is a very common endocrine condition in women in India. Gut microbiome alterations were shown to be involved in PCOS, yet it is remarkably understudied in Indian women who have a higher incidence of PCOS as compared to other ethnic populations. During the regional PCOS screening program among young women, we recruited 19 drug naive women with PCOS and 20 control women at the Sher-i-Kashmir Institute of Medical Sciences, Kashmir, North India. We profiled the gut microbiome in faecal samples by 16S rRNA sequencing and included 40/58 operational taxonomic units (OTUs) detected in at least 1/3 of the subjects with relative abundance (RA) ≥ 0.1%. We compared the RAs at a family/genus level in PCOS/non-PCOS groups and their correlation with 33 metabolic and hormonal factors, and corrected for multiple testing, while taking the variation in day of menstrual cycle at sample collection, age and BMI into account. Five genera were significantly enriched in PCOS cases: Sarcina, Megasphaera, and previously reported for PCOS Bifidobacterium, Collinsella and Paraprevotella confirmed by different statistical models. At the family level, the relative abundance of Bifidobacteriaceae was enriched, whereas Peptococcaceae was decreased among cases. We observed increased relative abundance of Collinsella and Paraprevotella with higher fasting blood glucose levels, and Paraprevotella and Alkalibacterium with larger hip, waist circumference, weight, and Peptococcaceae with lower prolactin levels. We also detected a novel association between Eubacterium and follicle-stimulating hormone levels and between Bifidobacterium and alkaline phosphatase, independently of the BMI of the participants. Our report supports that there is a relationship between gut microbiome composition and PCOS with links to specific reproductive health metabolic and hormonal predictors in Indian women.

Integration of Biobanks in National eHealth Ecosystems Facilitating Long-Term Longitudinal Clinical-Omics Studies and Citizens' Engagement in Research Through eHealthBioR.

Biobanks have long existed to support research activities with BBMRI-ERIC formed as a European research infrastructure supporting the coordination for biobanking with 20 country members and one international organization. Although the benefits of biobanks to the research community are well-established, the direct benefit to citizens is limited to the generic benefit of promoting future research. Furthermore, the advent of General Data Protection Regulation (GDPR) legislation raised a series of challenges for scientific research especially related to biobanking associate activities and longitudinal research studies. Electronic health record (EHR) registries have long existed in healthcare providers. In some countries, even at the national level, these record the state of the health of citizens through time for the purposes of healthcare and data portability between different providers. The potential of EHRs in research is great and has been demonstrated in many projects that have transformed EHR data into retrospective medical history information on participating subjects directly from their physician's collected records; many key challenges, however, remain. In this paper, we present a citizen-centric framework called eHealthBioR, which would enable biobanks to link to EHR systems, thus enabling not just retrospective but also lifelong prospective longitudinal studies of participating citizens. It will also ensure strict adherence to legal and ethical requirements, enabling greater control that encourages participation. Citizens would benefit from the real and direct control of their data and samples, utilizing technology, to empower them to make informed decisions about providing consent and practicing their rights related to the use of their data, as well as by having access to knowledge and data generated from samples they provided to biobanks. This is expected to motivate patient engagement in future research and even leads to participatory design methodologies with citizen/patient-centric designed studies. The development of platforms based on the eHealthBioR framework would need to overcome significant challenges. However, it would shift the burden of addressing these to experts in the field while providing solutions enabling in the long term the lower monetary and time cost of longitudinal studies coupled with the option of lifelong monitoring through EHRs.

Impulsive behaviors and clinical outcomes following a flexible intensive inpatient treatment for eating disorders: findings from an observational study.

PURPOSE: The aim of the study was to assess the differences between impulsive and non-impulsive patients in response to a multidisciplinary intensive inpatient treatment for eating disorders (EDs). METHODS: 320 patients with EDs were consecutively recruited in an eating disorders unit (EDU). They were assessed by clinical interviews and self-reported questionnaires. The treatment was characterized by a patient-centric approach and included both an intensive and comprehensive standardized multidisciplinary program based on cognitive-behavioral therapy and a flexible and personalized component according to the needs and the history of each patient. RESULTS: Impulsive ED patients showed greater improvement in specific psychopathological areas, in particular: interpersonal sensitivity of Symptom Checklist-90 (SCL-90) (p = 0.007); Eating Disorder Examination Questionnaire (EDE-Q) Global Score (p = 0.009), EDE-Q eating concern (p < 0.001) and EDE-Q shape concern (p = 0.025). The two groups also showed a different pattern on the Body Uneasiness Test, with impulsive patients uniquely showing improvement on Global Severity Index (p = 0.006), body image concern (p = 0.008), compulsive self monitoring (p = 0.002), and weight phobia (p = 0.037). DISCUSSION: Results support the hypothesis that patients with impulsive behaviors might benefit from treatments characterized by a standardized cognitive behavioral therapy implemented by third-wave interventions according to each patient's clinical profile. Personalized treatment approaches could be an answer to the complexity of ED, addressing individual psychopathology. Further studies are needed to confirm these preliminary findings. LEVEL OF EVIDENCE: III, cohort or case-control analytic studies.

A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data.

Goal: Most common diseases are influenced by multiple gene interactions and interactions with the environment. Performing an exhaustive search to identify such interactions is computationally expensive and needs to address the multiple testing problem. A four-step framework is proposed for the efficient identification of n-Way interactions. Methods: The framework was applied on a Multiple Sclerosis dataset with 725 subjects and 147 tagging SNPs. The first two steps of the framework are quality control and feature selection. The next step uses clustering and binary encodes the features. The final step performs the n-Way interaction testing. Results: The feature space was reduced to 7 SNPs and using the proposed binary encoding, more 2-SNP and 3-SNP interactions were identified compared to using the initial encoding. Conclusions: The framework selects informative features and with the proposed binary encoding it is able to identify more n-way interactions by increasing the power of the statistical analysis.

Relation between vitamin D and impulse behaviours in patients with eating disorder: a pilot observational study.

OBJECTIVE: There is growing evidence that vitamin D levels have a role not only in bone health and energy metabolism, but also for supporting nervous system and brain functions, including impulsivity. Impulsive behaviours are considered characteristics of great relevance in patients with Eating Disorders (ED) both for the course of the illness and for the treatment. The aim of this study is to examine the relationship between impulsive behaviours and vitamin D in patients with ED. METHOD: 236 patients with a diagnosis of ED, consecutively recruited at an ED ward between 2014 and 2018, were enrolled. Patients were classified as impulsive or non-impulsive based on the presence of clinically relevant impulsive behaviours. RESULTS: Impulsive patients were found to have statistically significant lower levels of vitamin D than non-impulsive (p = .007). A threshold value of 20.4 ng/ml for discriminating impulsive from non-impulsive patients was found. DISCUSSION: This hypothesis generating study partially confirmed a relationship between vitamin D deficiency and impulsive behaviours in ED spectrum mediated by body weight, even if results were not confirmed after corrected by obesity. No definitive conclusion may be taken on whether the effect is reduced due to the loss of power. Future directions are discussed.

Intestinal microbiome analysis demonstrates azithromycin post-treatment effects improve when combined with lactulose.

BACKGROUND: Next-generation sequencing has revolutionized our perspective on the gut microbiome composition, revealing the true extent of the adverse effects of antibiotics. The impact of antibiotic treatment on gut microbiota must be considered and researched to provide grounds for establishing new treatment strategies that are less devastating on commensal bacteria. This study investigates the impact on gut microbiome when a commonly used antibiotic, azithromycin is administered, as well as uncovers the benefits induced when it is used in combination with lactulose, a prebiotic known to enhance the proliferation of commensal microbes. METHODS: 16S rRNA gene sequencing analysis of stool samples obtained from 87 children treated with azithromycin in combination with or without lactulose have been determined. Children's gut microbial profile was established at the pre- and post-treatment stage. RESULTS: Azithromycin caused an increase in the relative abundance of opportunistic pathogens such as Streptococcus that was evident 60 days after treatment. While few days after treatment, children who also received lactulose started to show a higher relative abundance of saccharolytic bacteria such as Lactobacillus, Enterococcus, Anaerostipes, Blautia and Roseburia, providing a protective role against opportunistic pathogens. In addition, azithromycin-prebiotic combination was able to provide a phylogenetic profile more similar to the pre-treatment stage. CONCLUSION: It is suggested that during azithromycin treatment, lactulose is able to reinstate the microbiome equilibrium much faster as it promotes saccharolytic microbes and provides a homeostatic effect that minimizes the opportunistic pathogen colonization.

High Throughput Sequencing Technologies as a New Toolbox for Deep Analysis, Characterization and Potentially Authentication of Protection Designation of Origin Cheeses?

Protected Designation of Origin (PDO) labeling of cheeses has been established by the European Union (EU) as a quality policy that assures the authenticity of a cheese produced in a specific region by applying traditional production methods. However, currently used scientific methods for differentiating and establishing PDO are limited in terms of time, cost, accuracy and their ability to identify through quantifiable methods PDO fraud. Cheese microbiome is a dynamic community that progressively changes throughout ripening, contributing via its metabolism to unique qualitative and sensorial characteristics that differentiate each cheese. High Throughput Sequencing (HTS) methodologies have enabled the more precise identification of the microbial communities developed in fermented cheeses, characterization of their population dynamics during the cheese ripening process, as well as their contribution to the development of specific organoleptic and physio-chemical characteristics. Therefore, their application may provide an additional tool to identify the key microbial species that contribute to PDO cheeses unique sensorial characteristics and to assist to define their typicityin order to distinguish them from various fraudulent products. Additionally, they may assist the cheese-makers to better evaluate the quality, as well as the safety of their products. In this structured literature review indications are provided on the potential for defining PDO enabling differentiating factors based on distinguishable microbial communities shaped throughout the ripening procedures associated to cheese sensorial characteristics, as revealed through metagenomic and metatranscriptomic studies. Conclusively, HTS applications, even though still underexploited, have the potential to demonstrate how the cheese microbiome can affect the ripening process and sensorial characteristics formation via the catabolism of the available nutrients and interplay with other compounds of the matrix and/or production of microbial origin metabolites and thus their further quality enhancement.

Work-Related Psychological Distress and Its Management: The Perspective of Employees in the Financial Industry Compared With Those in Human Services.

OBJECTIVE: Investigate psychological distress and its link to stress management interventions in the financial industry (FI) in comparison to the human services (HS) sector. METHOD: Observational study across participating organizations in FI (66) and HS (81). Web-based version of depression anxiety stress scales (21 questions) and eight questions related to stress prevention interventions adopted by employers. RESULTS: Indicated that FI workers are twice as likely as HS employees to present with stress and depression. Differences emerged on the availability of support at the workplace: FI workers reporting total lack of psychological support, although other forms of wellbeing promotion were more frequent. Close to 60% of individuals in the HS group reported no support (48% in the FI). CONCLUSION: Workers in the FI industry have increased levels of workplace stress that could be possibly attributed to absence of prevention interventions at the workplace.