Activation of peroxymonosulfate by sustainable biomass-based carbon nanotubes for controlling the spread of plant viruses in water environments.

With the increasing demand for water in hydroponic systems and agricultural irrigation, viral diseases have seriously affected the yield and quality of crops. By removing plant viruses in water environments, virus transmission can be prevented and agricultural production and ecosystems can be protected. But so far, there have been few reports on the removal of plant viruses in water environments. Herein, in this study, easily recyclable biomass-based carbon nanotubes catalysts were synthesized with varying metal activities to activate peroxymonosulfate (PMS). Among them, the magnetic 0.125Fe@NCNTs-1/PMS system showed the best overall removal performance against pepper mild mottle virus, with a 5.9 log10 removal within 1 min. Notably, the key reactive species in the 0.125Fe@NCNTs-1/PMS system is 1O2, which can maintain good removal effect in real water matrices (river water and tap water). Through RNA fragment analyses and label free analysis, it was found that this system could effectively cleave virus particles, destroy viral proteins and expose their genome. The capsid protein of pepper mild mottle virus was effectively decomposed where serine may be the main attacking sites by 1O2. Long viral RNA fragments (3349 and 1642 nt) were cut into smaller fragments (∼160 nt) and caused their degradation. In summary, this study contributes to controlling the spread of plant viruses in real water environment, which will potentially help protect agricultural production and food safety, and improve the health and sustainability of ecosystems.

Cocaine and other illicit drugs in the marine environment: Potential effects and future directions.

Cocaine and its primary metabolite, benzoylecgonine, have been recently detected in sharks, indicating a growing concern over marine drug pollution. The presence of this drug in marine fauna poses risks such as physiological stress, impaired growth, reproduction, and altered behaviors, potentially leading to biodiversity loss and disrupted ecological interactions. Biomagnification may further affect higher trophic levels, including humans. Addressing this issue requires continuous monitoring, studies on physiological effects, understanding contamination routes, and improving wastewater treatment. Additionally, stricter regulations on pharmaceutical disposal are necessary to mitigate the impacts of such pollutants on marine ecosystems and human health.

Spectral Background Calibration of Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals (SHERLOC) Spectrometer Onboard the Perseverance Rover Enables Identification of a Ubiquitous Martian Spectral Component.

The Perseverance rover landed at Jezero crater, Mars, on 18 February 2021, with a payload of scientific instruments to examine Mars' past habitability, look for signs of past life, and process samples for future return to Earth. The instrument payload includes the Scanning Habitable Environments with Raman and Luminescence for Organics and Chemicals (SHERLOC) deep ultraviolet Raman and fluorescence imaging spectrometer designed to detect, characterize, and map the presence of organics and minerals on the Martian surface. Operation and engineering constraints sometimes result in the acquisition of spectra with features near the detection limit. It is therefore important to separate instrumental (background) spectral components and spectral components inherent to Martian surface materials. For SHERLOC, the instrumental background is assessed by collecting spectra in the stowed-arm configuration where the instrument is pointed at the Martian nighttime sky with no surface sample present in its optical path. These measurements reveal weak Raman and fluorescence background spectral signatures as well as charged-coupled device pixels prone to erroneous intensity spikes separate from cosmic rays. We quantitatively describe these features and provide a subtraction procedure to remove the spectral background from surface spectra. By identifying and accounting for the SHERLOC Raman background features within the median Raman spectra of Martian target scans, we find that the undefined silicate spectral feature interpreted to be either amorphous silicate or plagioclase feldspar is ubiquitously found in every Mars target Raman scan collected through Sol 751.

Salutogenic mechanisms in nature-based work: fostering sense of coherence for employees with limited capability for work.

Having a job is important for the well-being and inclusion of people with limited capability for work (LCW) due to physical and/or mental disability. This study explores salutogenic mechanisms that contribute to work-related sense of coherence (Work-SoC) of employees with LCW, i.e. perceiving their work in nature as manageable, comprehensible and meaningful. Semi-structured interviews (26 in total) were conducted with employees with LCW, employee supervisors, job coaches and foresters, all working in nature management. Interviews were held at four worksites of a governmental organisation in the Netherlands that provides permanent jobs for people with LCW. Employees with LCW contributed to the design and analysis of the study as co-researchers. Thematic analysis was used and member checks were carried out on preliminary findings. We identified six salutogenic mechanisms that contribute to nature-based Work-SoC of employees with LCW: (i) having constructive working relationships, (ii) experiencing structure and clarity, (iii) receiving practical and emotional support, (iv) support in the creation of meaning, (v) experiencing and learning in practice and (vi) physical activity and (absence of) stimuli. Identified mechanisms can create a positive effect when leveraged, thereby boosting (new) salutogenic mechanisms. Our findings illustrate that nature-based work can provide resources that promote Work-SoC of employees with LCW through the identified mechanisms. However, employees with LCW, colleagues, supervisors and stakeholders must recognize, mobilize and use these resources to leverage identified mechanisms in order to facilitate health-promoting workplaces for people with LCW. This, in turn, can contribute to sustainable inclusion through enablement.

Advancing the Understanding of Microplastic Weathering: Insights from a Novel Polarized Light Scattering Approach.

Weathering is a significant process that alters the properties of microplastics (MPs) and consequently affects their environmental behaviors. In this study, we introduced a novel approach based on polarized light scattering technique, which offers advantages in terms of rapid, high-throughput, and submicron-sized detection. This technique was successfully applied to characterize the weathered MPs after a 180-day laboratory simulation of coastal environments. By employing polarization measurements, we obtained a 46-dimensional matrix data set for the weathered MP fragments and subsequently processed them using a backpropagation neural network. The successful extraction of effective polarization pulses confirmed the presence of MP fragments within the size range of 0.2-60 µm, yielding total accuracies for size classification ranging from 78.9 to 86.9%. Furthermore, this technique achieved an overall accuracy of 93.8% in classifying MPs with different weathering degrees and polymer types, revealing polarization parameters associated with size and morphological changes play a dominant role in characterizing the weathering process of MPs. Compared with conventional approaches, the novel polarized light scattering approach holds great promise for rapid, high-throughput, and accurate characterization of MPs with small sizes. The findings of this study provided new insights into how MPs change after long-term weathering in aquatic environments.

A mixed-methods evaluation of a dementia education program for hospital staff and volunteers in Melbourne, Australia.

People with dementia have a high likelihood of being hospitalized at some point during the disease process. Recent research has found that more can be done to improve dementia care in hospitals. One of the strategies suggested to help achieve this objective is to provide dementia education programs to hospital staff. Such programs have the potential to improve the knowledge, attitudes, and skills of staff in caring for people with dementia to optimize their in-hospital experiences and clinical outcomes. This paper reports a mixed-methods evaluation of a dementia education program delivered to staff at a hospital in Melbourne, Australia. The quantitative evaluation found significant improvements in participant's knowledge of dementia but did not show significant improvements in "social comfort," a measure of how comfortable respondents are around people with dementia. Qualitative interview data supported the quantitative finding regarding improvements in knowledge about dementia and demonstrated participants were largely satisfied with the content of the education program. However, qualitative data also indicated a problem with engagement with some non-clinical staff. There is a need to improve the quality of care for patients with dementia in hospitals, and this study shows that a dementia education program can be effective in improving staff knowledge about people with dementia.

Performance evaluation of hybrid maize (Zea mays L.) in Burkina Faso, sub-Saharan region of Africa.

Maize (Zea mays L.) is a staple food for many people in Burkina Faso. The cultivation of maize hybrid genotypes plays a crucial role in increasing maize production and productivity. Feeding the growing population of the country, expected to reach thirty million by 2035, using hybrid genotypes of maize is a challenge. The objective of this study was to identify the hybrid maize genotypes having a best adaptability in the agro-ecological context of Burkina Faso. Nine (09) hybrid maize genotypes were evaluated during the 2018/2019 cropping season, in nine locations of the country characterized by a rainfall varying between 800 and 1200 mm. The experimental design was a Randomized Complete Block Design (RCBD) with three replications. The results showed that grain yield of the hybrids varied depending on the genotype nature and the cropping environment. The use of hybrid maize significantly increased the grain yield per hectare in maize production. Among the tested hybrid maize genotypes, SD1 (9.054 tons ha-1), SD3 (7.683 tons ha-1), and SD6 (9.385 tons ha-1) significantly presented higher yields. Based on the grain yield, the best growing environments of hybrid maize are NEBOUM1, BAMA and SOUNGALODAGO. The best genotypes for most of the environments are the hybrids of pure line varieties. The heritability was more than 80 % for all the studied yield traits.

Landscapes, cultures and technologies of loneliness: A call for participatory research with young adults.

In this viewpoint, we propose directions for research about loneliness among young adults. We argue that loneliness should not be individualized as a problem of 'lonely people' and 'at risk' groups but rather approached as an environmental and collective problem. Based on scholarship about the challenges that young adults face nowadays we identify three central themes: landscapes, cultures and technologies of loneliness. These themes can best be researched with participatory approaches involving collaborations with young adults in different life world-settings.

Investigating Data Diversity and Model Robustness of AI Applications in Palliative Care and Hospice: Protocol for Scoping Review.

BACKGROUND: Artificial intelligence (AI) has become a pivotal element in health care, leading to significant advancements across various medical domains, including palliative care and hospice services. These services focus on improving the quality of life for patients with life-limiting illnesses, and AI's ability to process complex datasets can enhance decision-making and personalize care in these sensitive settings. However, incorporating AI into palliative and hospice care requires careful examination to ensure it reflects the multifaceted nature of these settings. OBJECTIVE: This scoping review aims to systematically map the landscape of AI in palliative care and hospice settings, focusing on the data diversity and model robustness. The goal is to understand AI's role, its clinical integration, and the transparency of its development, ultimately providing a foundation for developing AI applications that adhere to established ethical guidelines and principles. METHODS: Our scoping review involves six stages: (1) identifying the research question; (2) identifying relevant studies; (3) study selection; (4) charting the data; (5) collating, summarizing, and reporting the results; and (6) consulting with stakeholders. Searches were conducted across databases including MEDLINE through PubMed, Embase.com, IEEE Xplore, ClinicalTrials.gov, and Web of Science Core Collection, covering studies from the inception of each database up to November 1, 2023. We used a comprehensive set of search terms to capture relevant studies, and non-English records were excluded if their abstracts were not in English. Data extraction will follow a systematic approach, and stakeholder consultations will refine the findings. RESULTS: The electronic database searches conducted in November 2023 resulted in 4614 studies. After removing duplicates, 330 studies were selected for full-text review to determine their eligibility based on predefined criteria. The extracted data will be organized into a table to aid in crafting a narrative summary. The review is expected to be completed by May 2025. CONCLUSIONS: This scoping review will advance the understanding of AI in palliative care and hospice, focusing on data diversity and model robustness. It will identify gaps and guide future research, contributing to the development of ethically responsible and effective AI applications in these settings. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56353.

Evolutionary Adaptation in Heterogeneous and Changing Environments.

Organisms that are adapting to long term environmental change almost always deal with mul- tiple environments and trade-offs that affect their optimal phenotypic strategy. Here we combine the idea of repeated variation or heterogeneity, like seasonal shifts, with long-term directional dy- namics. Using the framework of fitness sets, we determine the dynamics of the optimal phenotype in two competing environments encountered with different frequencies, one of which changes with time. When such an optimal strategy is selected for in simulations of evolving populations, we observe rich behavior that is qualitatively different from and more complex than adaptation to long-term change in a single environment. The probability of survival and the critical rate of environmental change above which populations go extinct depend crucially on the relative fre- quency of the two environments and the strength and asymmetry of their selection pressures. We identify a critical frequency for the stationary environment, above which populations can escape the pressure to constantly evolve by adapting to the stationary optimum. In the neighborhood of this critical frequency, we also find the counter-intuitive possibility of a lower bound on the rate of environmental change, below which populations go extinct, and above which a process of evolutionary rescue is possible.

A review of pathogenic airborne fungi and bacteria: unveiling occurrence, sources, and profound human health implication.

Airborne fungi and bacteria have been extensively studied by researchers due to their significant effects on human health. We provided an overview of the distribution and sources of airborne pathogenic microbes, and a detailed description of the detrimental effects that these microorganisms cause to human health in both outdoor and indoor environments. By analyzing the large body of literature published in this field, we offered valuable insights into how airborne microbes influence our well-being. The findings highlight the harmful consequences associated with the exposure to airborne fungi and bacteria in a variety of natural and human-mediated environments. Certain demographic groups, including children and the elderly, immunocompromised individuals, and various categories of workers are particularly exposed and vulnerable to the detrimental effect on health of air microbial pollution. A number of studies performed up to date consistently identified Alternaria, Cladosporium, Penicillium, Aspergillus, and Fusarium as the predominant fungal genera in various indoor and outdoor environments. Among bacteria, Bacillus, Streptococcus, Micrococcus, Enterococcus, and Pseudomonas emerged as the dominant genera in air samples collected from numerous environments. All these findings contributed to expanding our knowledge on airborne microbe distribution, emphasizing the crucial need for further research and increased public awareness. Collectively, these efforts may play a vital role in safeguarding human health in the face of risks posed by airborne microbial contaminants.

Investigating interface adhesion of PLA-coated cellulose paper straws: Degradation, plant growth effects, and life cycle assessment.

Although bioplastics and paper straws have been introduced as alternatives to single-use plastic straws, their potential environmental, economic, and social impacts have not been analyzed. This study addresses this gap by designing a polylactic acid layer interface adhesion on cellulose paper-based (PLA-P) composite straws by a dip molding process. This process is simple, efficient, and scalable for massive production. Optimizing key manufacturing parameters, including ice bath ultrasonic, overlapping paper strips (2 strips), winding angle (60°), soaking time (5 min), and drying temperature (50 °C), were systematically evaluated to improve straw quality and manufacturing efficiency. PLA chains were found to deposit onto the cellulose network through intermolecular interactions to form a consistent "sandwich" structure, which can improve adhesion, water resistance, and mechanical properties. Interestingly, PLA-P straws effectively decomposed in soil and compost environments, with a 35-40 % degradation rate within 4 months. Besides, PLA-P straw residues affected seed germination and plant growth, but no significant toxic effects were detected. Further, microplastics were observed in soil and plant tissues (roots, stems, and leaves), and their possible diffusion mechanisms were explored. The results of a comprehensive life cycle assessment (LCA) and cost analysis showed that the process improvements reduced the ecological footprint of PLA-P straws and showed good prospects for commercial application. The study's findings contribute to the understanding of bioplastics and paper straws in effectively reducing environmental impact and fostering sustainable development.

Relationship between environmental PM2.5 exposure in early pregnancy and thyroid hormone levels in pregnant women.

OBJECTIVES: To investigate a potential association between exposure to different concentrations of environmental fine particulate matter (PM2.5) during early pregnancy and maternal thyroid hormone levels. METHODS: The Midong District of Urumqi City was selected as the site for PM2.5 exposure, while Bole City served as the non-exposed group. Participants were women volunteers enrolled before the 28th week of gestation. Basic data were collected, and levels of FT3, FT4, TSH, and urinary iodine were measured. Generalized linear models were used to investigate associations between different environmental exposures to PM2.5 and maternal thyroid hormone levels in early pregnancy. A restricted cubic spline was employed to examine exposure-response relationships between PM2.5 pollution and maternal thyroid hormone levels. RESULTS: The mean daily indoor, outdoor, and multi-environmental PM2.5 exposure of pregnant women in early pregnancy was significantly different between the two sites (p < 0.05). The average daily exposure concentrations of PM2.5 in different environments during the first weeks of pregnancy in the two regions were negatively correlated with maternal levels of FT3 and FT4. The risk of abnormal thyroid hormone levels was higher in pregnant women living in the Midong District compared to those from Bole City. CONCLUSIONS: PM2.5 exposure during early pregnancy was associated with decreased maternal levels of FT3 and FT4. The adverse health effects of exposure to PM2.5 during early pregnancy on both pregnant women and their offspring should be continually emphasized.

An Empirical Study on the Effect of Blended Scents in Driving Environments From a Neuro-Cognitive Perspective.

BACKGROUND: An effective method that is easy to implement and widely applicable for improving driving performance and reducing driving risks remains a challenge. Although fragrances are widely used in daily driving, there is a gap between empirical research on everyday blended fragrances and functional fragrances clinical reports. In this study, a deliberately chosen blend of scent without overtly stimulating or functional proven evidence was tested for its potential to enhance performance in a driving environment. METHOD: Thirty qualified young drivers were recruited to participate in the experiment. They were asked to watch a 15-min first-person perspective driving video to simulate a driving environment and then complete questionnaires and three sets of behavioral experiments while their brain activity was monitored by EEG. RESULT: Participants in the scented environment exhibited statistically significant advantages in two cognitive tasks during behavioral measures. These findings were effectively supported by the EEG data, showing that beta waves exhibited more activity in the occipital and prefrontal cortex, enhanced theta waves were observed in the prefrontal cortex, and the TAB index characterizing driving fatigue was suppressed in the prefrontal cortex. CONCLUSION: This empirical evidence highlights the potential of pleasant, natural, and blended scents in enhancing driving performance, suggesting that promoting the aromatherapy while driving as an easily applicable approach in daily life seems justified and expands the application of aromatherapy in daily life.

A preliminary study on detecting human DNA in aquatic environments: Potential of eDNA in forensics.

Human environmental DNA (eDNA) application have not been fully applied or adequately considered in the fields of eDNA and forensics. Nonetheless, this technique holds great potential as a complementary tool for detecting human DNA in aquatic environments, particularly in cases involving crimes connect to such environments. However, the detectability or stability of eDNA can vary depending on several factors. Therefore, this preliminary study investigates the detection and degradation rates of human eDNA, as well as the recovery of nuclear short tandem repeat (STR) profiles and mitochondrial DNA (mtDNA) sequencing, using water samples from both saltwater and freshwater sources. To conduct the experiment, whole human blood was spiked into the water samples. Water samples were then filtered using a 5 µm pore size filter, and samples were collected at various time intervals up to 23 days. A human specific qPCR assay targeting HV1 region of human mtDNA was used to detect human eDNA. Results demonstrated that human eDNA remains detectable for up to 36 hours in freshwater samples and up 84 hours in saltwater samples. The limit of detection (LOD) of human eDNA, (205 copies/µl), was achieved after 60 hours in freshwater and 180 hours in saltwater samples. Partial STR profiles could be recovered up to 24 hours for freshwater and saltwater. Results from mtDNA sequencing indicate that full mtDNA profiles could be recovered from freshwater samples up to 48 hours and remained detectable up to 72 hours in saltwater. Overall, the findings of this study underscore the importance of considering and incorporating human eDNA analysis as a valuable tool in forensic practice. By harnessing the power of eDNA, law enforcement agencies can enhance their investigation capabilities, improve the accuracy of forensic reconstructions, and ultimately contribute to the resolution of cases involving aquatic environments. Further research and validation are needed to optimize and expand the utilization of eDNA techniques in forensic investigations.

Enhanced Sensitivity of Cell Identification in Complex Environments Using Chirally Inverted L-DNA-Based Logic Devices.

Accurate identification and isolation of target cells are crucial for precision diagnosis and treatment. DNA aptamer-based logic devices provide a distinct advantage in this context, as they can logically analyze multiple cell surface markers with high efficiency. However, the susceptibility of natural DNA (D-DNA) to degradation can compromise the sensitivity and specificity of these devices, potentially leading to false-positive and false-negative results, particularly in complex biological environments. To address this issue, dual- and triple-aptamer-based cell-surface logic devices are designed and developed using mirror-image L-DNA, a chiral molecule of D-DNA with high biostability. These devices allow for simultaneous analysis of multiple cell surface proteins, achieving greater specificity in cell identification and isolation than D-DNA-based logic devices. The L-DNA probes realized 98.7% and 70.5% sensitivities in FBS buffer with dual- and triple-aptamer-based logic devices for target cell identification, while D-DNA probes only showed 27.9% and 0.1%. It is believed that the high stability of L-DNA and the high efficiency of the devices for labeling cell subpopulations will have broad applications in the life sciences, biomedical engineering, and personalized medicine.

Design a novel algorithm for enhancing UWB positioning accuracy in GPS denied environments.

Accurate indoor positioning is the key to the development of the Internet of Things and intelligent devices. In view of GPS-denied indoor environments, we propose to build the indoor local positioning system by using ultra-wide band (UWB) system. In order to enhance the localization accuracy of UWB system, we propose a novel algorithm which integrates the Maximum Correntropy Criterion (MCC) and unscented Kalman filter (UKF) method to reconstruct the measurement distance by using the maximum entropy principle to reduce the influence of outliers and unknown process noise on the smooth effect. Subsequently, the least square (LS) method is implemented to attain the target node (TN) initial position coordinates, and the Taylor algorithm is then performed to further optimize the localization results of the LS method. Lastly, the experimental investigation is conducted to assess the effectiveness and applicability of the developed method via the UWB system in indoor scenarios. The experimental outcomes demonstrate that the developed MCCUKF-LS method can achieve the lowest root mean square error (RMSE), and enhance the positioning accuracy of the TN compared with the LS, KF-LS, and UKF-LS methods. The overall average RMSE of MCCUKF-LS method is reduced by 45.7% contracted with the LS algorithm. The average error of x-, y- and z-axis orientation for the LS method is reduced from 0.074 m, 0.067 m, 0.098 m to 0.036 m, 0.034 m, 0.044 m, and the achieved accuracy in the orientation of the three axes is increased by 51.4%, 49.3% and 55.1% respectively, which reveals that the designed fusion technique is capable of enhancing the positioning accuracy of the TN effectively, providing a new positioning methodology and reference for indoor positioning in GPS-denied environments.

Transcriptomic data support phylogenetic congruence and reveal genomic changes associated with the repeated evolution of annualism in aplocheiloid killifishes (Cyprinodontiformes).

Repeated evolution of novel life histories that are correlated with ecological variables offers opportunities to study convergence in genetic, developmental, and metabolic features. Nearly half of the 800 species of Aplocheiloid killifishes, a clade of teleost fishes with a circumtropical distribution, are "annual" or seasonal species that survive in ephemeral bodies of water that desiccate and are unfeasible for growth, reproduction, or survival for weeks to months every year. But the repeated evolution of adaptations that are key features of the annual life history among these fishes remains poorly known without a robust phylogenetic framework. We present a large-scale phylogenomic reconstruction of aplocheiloid killifishes evolution using newly sequenced transcriptomes obtained from a diversity of killifish lineages representing putative independent origins of annualism. Ancestral state estimation shows that developmental dormancy (diapause), a key trait of the killifish annual life cycle, may have originated up to seven times independently among African and South American lineages. To further explore the genetic basis of this unique trait, we measure changes in evolutionary rates among orthologous genes across the killifish tree of life by quantifying codon evolution using dN/dS ratios. We show that some genes have higher dN/dS ratios in lineages leading to species with annual life history. Many of them constitute key developmental genes or nuclear-encoded metabolic genes that control oxidative phosphorylation. Lastly, we compare these genes with higher ω to genes previously associated to developmental dormancy and metabolic shifts in killifishes and other vertebrates, and thereby identify molecular evolutionary signatures of repeated transitions to extreme environments.

In-depth characterization of food and environmental microbiomes across different meat processing plants.

BACKGROUND: Processing environments can be an important source of pathogenic and spoilage microorganisms that cross contaminate meat and meat products. The aim of this study was to characterize the microbiome of raw materials, processing environments and end products from 19 facilities producing different meat products. RESULTS: The taxonomic profiles of the microbial communities evolved along processing, from raw materials to end products, suggesting that food contact (FC) surfaces play an important role in modulating the microbiome of final products. Some species persisted with the highest relative abundance in raw materials, food processing environments and/or in the final product, including species from the genera Pseudomonas, Staphylococcus, Brochothrix, Acinetobacter and Psychrobacter. Processing environments showed a very diverse core microbiota, partially shared with the products. Pseudomonas fragi and Pseudomonas sp. Lz4W (in all sample and facility types) and Brochothrix thermosphacta, Psychrobacter sp. and Psychrobacter sp. P11F6 (in raw materials, FC surfaces and end products) were prominent members of the core microbiota for all facilities, while Latilactobacillus sakei was found as a dominant species exclusively in end products from the facilities producing fermented sausages. Processing environments showed a higher amount of antimicrobial resistance genes and virulence factors than raw materials and end products. One thousand four hundred twenty-one medium/high-quality metagenome-assembled genomes (MAGs) were reconstructed. Of these, 274 high-quality MAGs (completeness > 90%) corresponded to 210 putative new species, mostly found in processing environments. For two relevant taxa in meat curing and fermentation processes (S. equorum and L. sakei, respectively), phylogenetic variation was observed associated with the specific processing facility under study, which suggests that specific strains of these taxa may be selected in different meat processing plants, likely contributing to the peculiar sensorial traits of the end products produced in them. CONCLUSIONS: Overall, our findings provide the most detailed metagenomics-based perspective up to now of the microbes that thrive in meat, meat products and associated environments and open avenues for future research activities to better understand the microbiome functionality and potential contribution to meat quality and safety. Video Abstract.

Protein Aggregation and its Affecting Mechanisms in Neurodegenerative Diseases.

Protein aggregation serves as a critical pathological marker in a spectrum of neurodegenerative diseases (NDs), including the formation of amyloid ß (Aß) and Tau neurofibrillary tangles in Alzheimer's disease, as well as α-Synuclein (α-Syn) aggregates in Parkinson's disease, Parkinson's disease-related dementia (PDD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). A significant proportion of patients with amyotrophic lateral sclerosis (ALS) exhibit TDP-43 aggregates. Moreover, a confluence of brain protein pathologies, such as Aß, Tau, α-Syn, and TDP-43, has been identified in individual NDs cases, highlighting the intricate interplay among these proteins that is garnering heightened scrutiny. Importantly, protein aggregation is modulated by an array of factors, with burgeoning evidence suggesting that it frequently results from perturbations in protein homeostasis, influenced by the cellular membrane milieu, metal ion concentrations, post-translational modifications, and genetic mutations. This review delves into the pathological underpinnings of protein aggregation across various NDs and elucidates the intercommunication among disparate proteins within the same disease context. Additionally, we examine the pathogenic mechanisms by which diverse factors impinge upon protein aggregation, offering fresh perspectives for the future therapeutic intervention of NDs.