Journal of The American Dietetic Association最新文献

As large-scale biobanks provide increasing access to deep phenotyping and genomic data, genome-wide association studies (GWAS) are rapidly uncovering the genetic architecture behind various complex traits and diseases. GWAS publications typically make their summary-level data (GWAS summary statistics) publicly available, enabling further exploration of genetic overlaps between phenotypes gathered from different studies and cohorts. However, systematically analyzing high-dimensional GWAS summary statistics for thousands of phenotypes can be both logistically challenging and computationally demanding. In this paper, we introduce BIGA (https://bigagwas.org/), a website that aims to offer unified data analysis pipelines and processed data resources for cross-trait genetic architecture analyses using GWAS summary statistics. We have developed a framework to implement statistical genetics tools on a cloud computing platform, combined with extensive curated GWAS data resources. Through BIGA, users can upload data, submit jobs, and share results, providing the research community with a convenient tool for consolidating GWAS data and generating new insights.

Early adversity has been consistently linked to mental health outcomes, but the underlying pathways remain unclear. One previous study found an association between early adversity and trait emotional awareness (EA), which has itself been linked to health outcomes, but links to mental health were not explicitly examined. The aim of the current study was to test the hypothesis that the association between early adversity and health can be partially accounted for by differences in EA within a large student sample (n = 196). Participants completed measures of early adversity, EA, and current emotional functioning (i.e., depression, anxiety, somatization, positive/negative affect). Bayesian analyses found the most evidence for models with an interaction between sex and early adversity in predicting emotional functioning - revealing the expected negative relationship between early adversity and EA in females, but a positive relationship in males. Early adversity, but not EA, was associated with depression, anxiety, and implicit negative affect. Only explicit positive affect was associated with both early adversity and EA, and EA partially mediated the negative association between early adversity and positive affect. These results provide limited support for EA as a mediating pathway for the effects of early adversity on mental health.

Comparative evaluation of early and late tracheostomy outcomes in mechanically ventilated patients. The present retrospective study was conducted in Government medical college Jammu from April 2021 to November 2022 on 111 tracheotomised patient in intensive care unit. All tracheostomies with in 10 days of intubation were grouped as early tracheostomy (ET) group and all those done after 10 days were grouped as LATE TRACHEOSTOMY (LT) group. APACHE II score at the time of intensive care unit admission of all included tracheotomised patients was noted. Data regarding mortality, duration of mechanical ventilation and length of stay in intensive care unit (ICU) was studied. Mean age of presentation was 41.5 ± 15.7 yrs, with male preponderance. Out of 111 patients, 57 patients underwent early tracheostomy and 54 underwent late TRACHEOSTOMY. In APACHE II, < 25 category-short term mortality was 4 in ET and 5 in LT; long term mortality in ET was 4 and 10 in LT; average days of mechanical ventilation were 11.2 in ET and 3 in LT; average stay in ICU was 18 days in ET and 61 days in LT. in APACHE II > 25-short term mortality was 4 in ET and 5 in LT; long term mortality in ET was 3 and 9 in LT. Average days of mechanical ventilation were 10.8 in ET and 57 in LT; average stay in ICU was 24 days in ET and 79 days in LT. Early tracheostomy is superior to late Tracheostomy in terms of mortality, number of days of mechanical ventilation and the duration of intensive care unit stay.

The chondromyxoid fibroma is a benign osseocartilaginous tumor histopathologically characterized by chondroid, fibrous, and myxoid tissues (Nazeer et al. in Skeltal Radiol 25:779-78, 1996). Its occurrence is quite rare, accounting for less than 0.5% of all bone tumors, with 1-5% of cases reported in the head and neck region. We report an unusual case of 25 years old male who presented with progressive swelling over dorsum of nose with bilateral nasal obstruction over 1 year. The histopathological examination was suggestive of chondromyxoid fibroma. The tumor was completely excised via open approach. We report this case owing to the rarity of the disease, sometimes masquerading as invasive/malignant pathology.

Introduction: The current study evaluates the effects of COVID-19 infection and the safety of vaccines in patients with epilepsy (PWEs).

Method: The study was conducted with PWEs who were vaccinated against COVID-19. The sample was separated into two groups as those with drug-resistant epilepsy (DRE) and those with non-resistant epilepsy, and their seizure frequencies, seizure types, development of status epilepticus, changes in doses and/or types of drugs, electroencephalographs (EEGs) before and after COVID-19 infection, and vaccination with mRNA or inactivated vaccines were monitored and compared. Changes in seizure patterns were also inquired about following the administration of vaccines other than COVID-19.

Results: Included in the study were 307 PWEs with a mean age of 42.62±14.74, among whom COVID-19 PCR positivity was detected in 97(31.6%). Those who experienced no increase in seizure frequency while infected with COVID-19 were significantly under monotherapy (p=0.031). The mean seizure frequency was 2.70±5.19 per year before vaccination, but increased to 3.20±5.82 after. A significant relationship was identified between abnormal EEG and increased seizure frequency across the entire sample and the mRNA group (p=0.011, p=0.004). The frequency of seizures increased significantly in the DRE patients after receiving the mRNA vaccine (p=0.023). Overall, increased seizure frequencies were observed in 29.9% of the sample during COVID-19 infection, with increases of 16.4% in those who received the mRNA vaccine, 8.6% after inactivated vaccines and 25% after non-COVID-19 vaccines.

Conclusion: COVID-19 infection was found to be associated with a higher increased seizure frequency risk than being vaccinated, and COVID-19 vaccines do not differ from other vaccines in terms of the risk to PWEs.

The use of indoor UV tanning devices (also known as "indoor tanning") has declined in recent years. Less is known about use of dihydroxyacetone-containing products used for tanning (also known as "sunless tanning"). We analyzed data from the 2015 National Health Interview Survey. Analysis was limited to non-Hispanic White women ages 18-49 years. We estimated the proportion of women reporting spray tanning, self-applied lotion tanning, and indoor tanning and used weighted multivariable logistic regression models to examine the relationships between socio-demographic characteristics, skin cancer risk factors, and other cancer risk factors with sunless and indoor tanning. Overall, 17.7% of women reported sunless tanning. Lotion tanning was more common (15.3%) than spray tanning (6.8%), while 12.0% of women engaged in indoor tanning. Among sunless tanners, 23.7% also engaged in indoor tanning. Younger age, ever having a skin exam, skin reactions to the sun, binge drinking, and being at a healthy weight were associated with sunless tanning. While sunless tanning may be less harmful for skin cancer risk than indoor tanning, the frequency with which the two behaviors co-occur suggests that efforts to address societal pressures for women to alter their skin color may have important public health benefits.

Language production involves a complex set of computations, from conceptualization to articulation, which are thought to engage cascading neural events in the language network. However, recent neuromagnetic evidence suggests simultaneous meaning-to-speech mapping in picture naming tasks, as indexed by early parallel activation of frontotemporal regions to lexical semantic, phonological, and articulatory information. Here we investigate the time course of word production, asking to what extent such "earliness" is a distinctive property of the associated spatiotemporal dynamics. Using MEG, we recorded the neural signals of 34 human subjects (26 males) overtly naming 134 images from four semantic object categories (animals, foods, tools, clothes). Within each category, we covaried word length, as quantified by the number of syllables contained in a word, and phonological neighborhood density to target lexical and post-lexical phonological/phonetic processes. Multivariate pattern analyses searchlights in sensor space distinguished the stimulus-locked spatiotemporal responses to object categories early on, from 150 to 250 ms after picture onset, whereas word length was decoded in left frontotemporal sensors at 250-350 ms, followed by the latency of phonological neighborhood density (350-450 ms). Our results suggest a progression of neural activity from posterior to anterior language regions for the semantic and phonological/phonetic computations preparing overt speech, thus supporting serial cascading models of word production.SIGNIFICANCE STATEMENT Current psycholinguistic models make divergent predictions on how a preverbal message is mapped onto articulatory output during the language planning. Serial models predict a cascading sequence of hierarchically organized neural computations from conceptualization to articulation. In contrast, parallel models posit early simultaneous activation of multiple conceptual, phonological, and articulatory information in the language system. Here we asked whether such earliness is a distinctive property of the neural dynamics of word production. The combination of the millisecond precision of MEG with multivariate pattern analyses revealed subsequent onset times for the neural events supporting semantic and phonological/phonetic operations, progressing from posterior occipitotemporal to frontal sensor areas. The findings bring new insights for refining current theories of language production.

The computer-assisted design of new chemical entities has made a leap forward with the development of machine learning models for automated molecule generation. The overarching goal of this conceptual approach is to augment the creativity of medicinal chemists with a machine intelligence. In this Perspective we highlight prospective applications of "de novo" drug design and target prediction, aiming to generate natural product-inspired bioactive compounds from scratch. A virtual chemist transforms pharmacologically active natural products into new, easily synthesizable small molecules with desired properties and activity. Computational activity prediction and automated compound generation offer the possibility to systematically transfer the wealth of pharmaceutically active natural products to synthetic small molecule drug discovery. We present selected prospective examples and dare a forecast into the future of natural product-inspired drug discovery.

Mesenchymal-epithelial transition (MET) receptor tyrosine kinase is overexpressed, amplified, or mutated in 1-20% of NSCLC. MET dysregulation is associated with a poor prognosis. Recently, development of targeted therapies against MET exon 14 mutations has demonstrated efficacy and tolerability in early trials. Here we focus on tepotinib and capmatinib in regards to molecular characteristics, early preclinical and clinical data, and the emerging role in future studies and clinical practice.