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Alzheimer's Research & Therapy Jan 2024Disease-modifying treatments for Alzheimer's disease highlight the need for early detection of cognitive decline. However, at present, most primary care providers do not... (Review)
Review
BACKGROUND
Disease-modifying treatments for Alzheimer's disease highlight the need for early detection of cognitive decline. However, at present, most primary care providers do not perform routine cognitive testing, in part due to a lack of access to practical cognitive assessments, as well as time and resources to administer and interpret the tests. Brief and sensitive digital cognitive assessments, such as the Digital Clock and Recall (DCR™), have the potential to address this need. Here, we examine the advantages of DCR over the Mini-Mental State Examination (MMSE) in detecting mild cognitive impairment (MCI) and mild dementia.
METHODS
We studied 706 participants from the multisite Bio-Hermes study (age mean ± SD = 71.5 ± 6.7; 58.9% female; years of education mean ± SD = 15.4 ± 2.7; primary language English), classified as cognitively unimpaired (CU; n = 360), mild cognitive impairment (MCI; n = 234), or probable mild Alzheimer's dementia (pAD; n = 111) based on a review of medical history with selected cognitive and imaging tests. We evaluated cognitive classifications (MCI and early dementia) based on the DCR and the MMSE against cohorts based on the results of the Rey Auditory Verbal Learning Test (RAVLT), the Trail Making Test-Part B (TMT-B), and the Functional Activities Questionnaire (FAQ). We also compared the influence of demographic variables such as race (White vs. Non-White), ethnicity (Hispanic vs. Non-Hispanic), and level of education (≥ 15 years vs. < 15 years) on the DCR and MMSE scores.
RESULTS
The DCR was superior on average to the MMSE in classifying mild cognitive impairment and early dementia, AUC = 0.70 for the DCR vs. 0.63 for the MMSE. DCR administration was also significantly faster (completed in less than 3 min regardless of cognitive status and age). Among 104 individuals who were labeled as "cognitively unimpaired" by the MMSE (score ≥ 28) but actually had verbal memory impairment as confirmed by the RAVLT, the DCR identified 84 (80.7%) as impaired. Moreover, the DCR score was significantly less biased by ethnicity than the MMSE, with no significant difference in the DCR score between Hispanic and non-Hispanic individuals.
CONCLUSIONS
DCR outperforms the MMSE in detecting and classifying cognitive impairment-in a fraction of the time-while being not influenced by a patient's ethnicity. The results support the utility of DCR as a sensitive and efficient cognitive assessment in primary care settings.
TRIAL REGISTRATION
ClinicalTrials.gov identifier NCT04733989.
Topics: Humans; Female; Male; Dementia; Cognitive Dysfunction; Alzheimer Disease; Mental Status and Dementia Tests; Neuropsychological Tests
PubMed: 38167251
DOI: 10.1186/s13195-023-01367-7 -
Heliyon Jan 2024The Rapid Alert System for Food and Feed (RASFF) plays a pivotal role in regulating food safety in the European Union by enabling the competent authorities in each...
The Rapid Alert System for Food and Feed (RASFF) plays a pivotal role in regulating food safety in the European Union by enabling the competent authorities in each Member State to issue warnings for removing unsafe or illegal items from the market. This article undertakes a comprehensive analysis of RASFF data on Slovak food from 2002 to 2020, to investigate the trends in notifications, actions executed, hazard categories, and product categories within the food industry. Our scrutiny of the RASFF data revealed fluctuations in the counts of alerts and information notifications across years, indicating periods of heightened hazard detection and enhanced transparency within the system. Various measures, including destruction, recall, notification, and prohibition, were employed to address these hazards and ensure the safety and compliance of food products. The hazard categories exhibited sporadic patterns, underscoring the necessity for ongoing surveillance and regulatory interventions. Specific product categories, such as dietetic foods, food supplements, and fortified foods, registered higher incidences of hazards in specific years, implying the need for intensified safety precautions. These findings highlight the importance of sustained efforts in maintaining food safety and managing risks within the industry.
PubMed: 38163176
DOI: 10.1016/j.heliyon.2023.e23146 -
Vision Research Feb 2024The capacity of visuospatial working memory (VSWM) is limited. However, there is continued debate surrounding the nature of this capacity limitation. The resource model...
The capacity of visuospatial working memory (VSWM) is limited. However, there is continued debate surrounding the nature of this capacity limitation. The resource model (Bays et al., 2009) proposes that VSWM capacity is limited by the precision with which visuospatial features can be retained. In one of the few studies of spatial working memory, Schneegans and Bays (2016) report that memory guided pointing responses show a monotonic decrease in precision as set size increases, consistent with resource models. Here we report two conceptual replications of this study that use mouse responses rather than pointing responses. Overall results are consistent with the resource model, as there was an exponential increase in localisation error and monotonic increases in the probability of misbinding and guessing with increases in set size. However, an unexpected result of Experiment One was that, unlike Schneegans and Bays (2016), imprecision did not increase between set sizes of 2 and 8. Experiment Two replicated this effect and ruled out the possibility that the invariance of imprecision at set sizes greater than 2 was a product of oculomotor strategies during recall. We speculate that differences in imprecision are related to additional visuomotor transformations required for memory-guided mouse localisation compared to memory-guided manual pointing localisation. These data demonstrate the importance of considering the nature of the response modality when interpreting VSWM data.
Topics: Animals; Mice; Memory, Short-Term; Mental Recall; Spatial Memory
PubMed: 38160653
DOI: 10.1016/j.visres.2023.108343 -
Annals of Work Exposures and Health Feb 2024Cleaning product use has been associated with adverse respiratory health effects such as asthma in cleaning staff and healthcare workers. Research in health effects from...
BACKGROUND
Cleaning product use has been associated with adverse respiratory health effects such as asthma in cleaning staff and healthcare workers. Research in health effects from cleaning products has largely depended upon collecting exposure information by questionnaires which has limitations such as recall bias and underestimation of exposure. The aim of this study was to develop a Cleaning and Hazardous Products Exposure Logging (CHaPEL) app with a barcode scanner and to test the feasibility of this app with university cleaners.
METHODS
The CHaPEL app was developed to collect information on demographics, individual product information, and exposure information. It also included an ease-of-use survey. A pilot study with university cleaning workers was undertaken in which cleaning workers scanned each product after use and answered the survey. Respiratory hazards of cleaning substances in the scanned cleaning products were screened by safety data sheets, a Quantitative Structure-Activity Relationship model and an asthmagen list established by an expert group in the US.
RESULTS
Eighteen university cleaners participated in this study over a period of 5 weeks. In total, 77 survey responses and 6 cleaning products were collected and all reported that using the app was easy. The most frequently used product was a multi-surface cleaner followed by a disinfectant. Out of 14 substances in cleaning products, ethanolamine and Alkyl (C12-16) dimethyl benzyl ammonium chloride were found as respiratory hazardous substances.
CONCLUSION
The CHaPEL app is a user-friendly immediate way to successfully collect exposure information using the barcodes of cleaning products. This tool could be useful for future epidemiological studies focused on exposure assessment with less interruption to the workers.
Topics: Humans; Occupational Exposure; Pilot Projects; Mobile Applications; Hazardous Substances; Asthma
PubMed: 38142412
DOI: 10.1093/annweh/wxad082 -
Current Research in Food Science 2023Plant-based foods (PBFs) are considered healthy, especially, minimally processed whole foods, fruits, whole grains, and legumes while highly processed PBFs maybe less...
Plant-based foods (PBFs) are considered healthy, especially, minimally processed whole foods, fruits, whole grains, and legumes while highly processed PBFs maybe less nutritious. Educating consumers on nurient quality will help to guide their choices. This study was aimed at estimating and predicting the nutrient quality of PBFs using their Nutri-Score and micronutrient content. The NHANES (2017-2020) data shows the output for foods consumed in the US and their nutrient composition based on a 24-h recall. Though the Nutri-Score label has been used to discriminate food quality, it still needs to be implemented in most countries. It computes mostly macronutrients with less consideration for micronutrients which also contributes to product quality. ML methods used in this study combine the Nutri-Score grade and micronutrient content in predicting food quality. The FNDDS data of PBFs for 2017-2020 were split into training (n = 300) and testing (n = 74) datasets. Eight ML models were used to predict the Nutri-Score and the Nutri-Score grade of PBFs. Random forest (RF) and light gradient boost model (LightGBM) performed best with accuracy and coefficient of determination (R) scores of 0.88 and 0.96, respectively, while DT had the least scores in predicting the Nutri-Score grade (0.81) and Nutri-Score (0.93). These results suggest that ML can be effectively leveraged to predict PBFs quality.
PubMed: 38115895
DOI: 10.1016/j.crfs.2023.100544 -
Journal of Family Medicine and Primary... Sep 2023Chronic gastritis is one of the most prevalent disorders affecting individuals, which affects hundreds of millions of people in different ways around the world. The...
INTRODUCTION
Chronic gastritis is one of the most prevalent disorders affecting individuals, which affects hundreds of millions of people in different ways around the world. The significant incidence of poor dietary quality and diet-related illnesses may be addressed by orienting customers toward healthier food options. The objective of the study was to estimate the knowledge of front-of-package labels (FoPLs) and food group-based dietary intake of nutrients among patients with chronic gastritis.
MATERIALS AND METHODS
The study design was a hospital-based cross-sectional study that was done in Guntur district of Andhra Pradesh. The study population included 208 chronic gastritis patients between 20 to 60 years of age selected by systematic sampling. Detailed information on sociodemographic and lifestyle factors was collected using a questionnaire and 24-h dietary recall was done. The objective assessment of Knowledge of FoPLs was assessed mock package images representing a fictional brand to prevent other factors from interfering with product evaluation.
RESULTS
A total of 208 patients were studied with a near-equal proportion of males and females. Among participants, more than half (57.2%) can interpret FoPL, more than three-fourths (77.4%) have a belief that they eat a healthy diet mostly and only half (52.4%) of participants are somewhat knowledgeable about nutrition, and finally almost half (46.6%) of participants are not seeing the FoP label during food purchase. The mean score of knowledge of FoP labeling was 0.92 ± 1.135. Knowledge of FOPL was positively associated with the age of study participants OR 0.178 (95% CI: 0.178 to 0.856) with P value = 0.02. Grains have the maximum intake among all the food groups with a mean intake of 123.21 g/day.
CONCLUSION
The majority of participants do not know the food labeling, thus methods of education that focus on dietary interventions are urgently needed to raise awareness among the people.
PubMed: 38024917
DOI: 10.4103/jfmpc.jfmpc_322_23 -
International Journal of Applied Earth... Sep 2023Geospatial datasets derived from remote sensing data by means of machine learning methods are often based on probabilistic outputs of abstract nature, which are...
Geospatial datasets derived from remote sensing data by means of machine learning methods are often based on probabilistic outputs of abstract nature, which are difficult to translate into interpretable measures. For example, the Global Human Settlement Layer GHS-BUILT-S2 product reports the probability of the presence of built-up areas in 2018 in a global 10 m × 10 m grid. However, practitioners typically require interpretable measures such as binary surfaces indicating the presence or absence of built-up areas or estimates of sub-pixel built-up surface fractions. Herein, we assess the relationship between the built-up probability in GHS-BUILT-S2 and reference built-up surface fractions derived from a highly reliable reference database for several regions in the United States. Furthermore, we identify a binarization threshold using an agreement maximization method that creates binary built-up land data from these built-up probabilities. These binary surfaces are input to a spatially explicit, scale-sensitive accuracy assessment which includes the use of a novel, visual-analytical tool which we call focal precision-recall signature plots. Our analysis reveals that a threshold of 0.5 applied to GHS-BUILT-S2 maximizes the agreement with binarized built-up land data derived from the reference built-up area fraction. We find high levels of accuracy (i.e., county-level F-1 scores of almost 0.8 on average) in the derived built-up areas, and consistently high accuracy along the rural-urban gradient in our study area. These results reveal considerable accuracy improvements in human settlement models based on Sentinel-2 data and deep learning, as compared to earlier, Landsat-based versions of the Global Human Settlement Layer.
PubMed: 37975073
DOI: 10.1016/j.jag.2023.103469 -
Nucleic Acids Research Jan 2024One challenge in the development of novel drugs is their interaction with potential off-targets, which can cause unintended side-effects, that can lead to the subsequent...
One challenge in the development of novel drugs is their interaction with potential off-targets, which can cause unintended side-effects, that can lead to the subsequent withdrawal of approved drugs. At the same time, these off-targets may also present a chance for the repositioning of withdrawn drugs for new indications, which are potentially rare or more severe than the original indication and where certain adverse reactions may be avoidable or tolerable. To enable further insights into this topic, we updated our database Withdrawn by adding pharmacovigilance data from the FDA Adverse Event Reporting System (FAERS), as well as mechanism of action and human disease pathway prediction features for drugs that are or were temporarily withdrawn or discontinued in at least one country. As withdrawal data are still spread over dozens of national websites, we are continuously updating our lists of discontinued or withdrawn drugs and related (off-)targets. Furthermore, new systematic entry points for browsing the data, such as an ATC tree, were added, increasing the accessibility of the database in a user-friendly way. Withdrawn 2.0 is publicly available without the need for registration or login at https://bioinformatics.charite.de/withdrawn_3/index.php.
Topics: Humans; Drug-Related Side Effects and Adverse Reactions; Pharmacovigilance; Safety-Based Drug Withdrawals; Databases, Pharmaceutical
PubMed: 37971295
DOI: 10.1093/nar/gkad1017 -
Nutrients Sep 2023The range of gluten-free food products available to consumers is steadily expanding. In recent years, recalls of food products have highlighted the importance of...
The range of gluten-free food products available to consumers is steadily expanding. In recent years, recalls of food products have highlighted the importance of accurate labeling of food products for the presence of wheat, other gluten-containing cereals, or gluten itself as refined ingredient. The purpose of this study was to gain more insights into recent food recalls related to undeclared gluten/wheat contamination and consumer experiences with these recalls. Recalls of products triggered by gluten contamination are relatively scarce and are not often triggered by a consumer complaint. The impact of these recalls on consumer trust was evaluated through an online survey that was distributed among supporters of Celiac Canada (CCA) and covered (i) strategies to adhere to a gluten-free diet, (ii) experiences with gluten-free recalls and their impact on consumer trust, and (iii) demographic information. Consumer concern regarding gluten-free product recalls is significant, but the concern regarding recalls is not heightened after experiencing a recall. Companies pursuing transparency in the process, identification of the source of contamination, and mitigation strategies going forward are likely to retain consumer trust in their product and brand. Based on the survey results, further efforts focusing on consumer education regarding interpreting nutrient labels, identifying sources of information on product recalls, and understanding procedures to follow upon suspected gluten contamination of a gluten-free product are recommended.
Topics: Humans; Diet, Gluten-Free; Food Labeling; Trust; Glutens; Product Recalls and Withdrawals; Celiac Disease
PubMed: 37836454
DOI: 10.3390/nu15194170 -
Signal Transduction and Targeted Therapy Oct 2023Long-term humoral immunity to SARS-CoV-2 is essential for preventing reinfection. The production of neutralizing antibody (nAb) and B cell differentiation are tightly...
Long-term humoral immunity to SARS-CoV-2 is essential for preventing reinfection. The production of neutralizing antibody (nAb) and B cell differentiation are tightly regulated by T follicular help (T) cells. However, the longevity and functional role of T cell subsets in COVID-19 convalescents and vaccine recipients remain poorly defined. Here, we show that SARS-CoV-2 infection and inactivated vaccine elicited both spike-specific CXCR3 T cell and CXCR3 T cell responses, which showed distinct response patterns. Spike-specific CXCR3 T cells exhibit a dominant and more durable response than CXCR3 T cells that positively correlated with antibody responses. A third booster dose preferentially expands the spike-specific CXCR3 T cell subset induced by two doses of inactivated vaccine, contributing to antibody maturation and potency. Functionally, spike-specific CXCR3 T cells have a greater ability to induce spike-specific antibody secreting cells (ASCs) differentiation compared to spike-specific CXCR3 T cells. In conclusion, the persistent and functional role of spike-specific CXCR3 T cells following SARS-CoV-2 infection and vaccination may play an important role in antibody maintenance and recall response, thereby conferring long-term protection. The findings from this study will inform the development of SARS-CoV-2 vaccines aiming to induce long-term protective immune memory.
Topics: Humans; SARS-CoV-2; COVID-19; COVID-19 Vaccines; Antibodies, Neutralizing; Vaccines, Inactivated
PubMed: 37802996
DOI: 10.1038/s41392-023-01650-x