Tag: pubmed

Histochem Cell Biol. 2023 Aug 22. doi: 10.1007/s00418-023-02232-2. Online ahead of print.

ABSTRACT

The aim of this study was to reveal the effects of obesity and phytotherapy with 20-hydroxyecdysone (20E) on the nuclei of adrenal zona fasciculata (ZF) in the gerbil Gerbillus tarabuli by analyzing nuclear shape and gray-level co-occurrence matrix (GLCM) texture characteristics and by quantifying heterochromatin. Twelve gerbils were divided into three groups: control (C), HC and HC-20E (animals receiving a high-calorie-diet without or with a supplement of 20E, respectively). The adrenals were removed and fixed for histological and statistical analysis. Principal component analysis showed a positive correlation of area, perimeter and textural correlation in C. Nevertheless, a negative correlation was recorded for contrast and entropy. The obesity caused a disorder in nuclear texture; negative correlation was noted with heterochromatin fraction, which may be related to increased ZF activity. However, administration of 20E seems to improve the nuclear state by preserving circularity, uniformity and homogeneity of nuclei as well as the proportion of heterochromatin, which could be a sign of a downregulation of cell activity.Our results suggest that new techniques of image processing could contribute to the understanding of nuclear changes associated with obesity and its possible therapy in this gerbil model for metabolic syndrome.

PMID:37604940 | DOI:10.1007/s00418-023-02232-2

Rheumatol Int. 2023 Aug 22. doi: 10.1007/s00296-023-05416-0. Online ahead of print.

ABSTRACT

The objectives are to describe the demographic and clinical properties of Behçet’s disease (BD) and investigate their relationship with the use of biological agents. Four hundred-eighty-eight patients, (299 (61.3%) males, 189 (38.7%) females), who fulfilled the ISG classification criteria for BD were included, retrospectively. The patient’s demographics, disease onset age (DOA), clinical findings of the disease, and the drugs were determined and analyzed statistically. The means of patient age and DOA were 40.7 ± 9.9 and 30.8 ± 8.8 years, respectively. The most common initial findings were oral ulcer (OU)s (30.1%), genital ulcer (GU) (27.5%), ocular involvement (OI) (12.5%), and papulopustular lesion (PPL)s (10.1%). The most common clinical manifestations were OUs (96.9%), PPLs (70.2%), HLA-B51 (64.4%), positive pathergy reaction (26.4%), GU (58.8%), OI (44.7%), erythema nodosum (29.8%), and vascular involvement (VSI) (27.3%). Although, the frequency of GU was higher in females (p = 0.01), PPLs (p = 0.001) and VSI (p = 0.001) were higher in males. Sixty-three (8.9%) patients used a biological agent. Its frequency was higher in younger patients (< 40 years) (p = 0.006), males (p = 0.012) and patients with OI (p = 0.001). Besides, the DOA (p = 0.012) and the current age (p = 0.001) were lower in biological agent users. The possibility of using biological agent was increased in males (OR = 2.2), patients with OI (OR = 2.7) and young patients (OR = 0.9). Mucocutaneous lesions are distinctive features of BD, especially OUs precede other findings. GU was more common in females and PPLs and VSI were in males. The probability of using biologics is higher in males, patients with OI, and young patients.

PMID:37604938 | DOI:10.1007/s00296-023-05416-0

Sci Rep. 2023 Aug 21;13(1):13580. doi: 10.1038/s41598-023-40565-z.

ABSTRACT

Immune checkpoint inhibitors (ICIs) activate anti-tumor activity by inhibiting immune checkpoint molecules that suppress inflammatory T-cell activity. However, ICIs can initiate excessive immune responses, thereby causing immune-related adverse events (irAEs). ICI-associated uveitis (ICIU) is an irAE that affects the eyes. Although Vogt-Koyanagi-Harada disease (VKH)-like uveitis is a common form of ICIU, it is unclear which factors determine the ICIU form. We retrospectively reviewed the medical records of nine ICIU cases treated with ICIs for malignancies. We also performed HLA typing in seven cases to investigate the association between HLA and disease type. Fisher’s exact test was used for the statistical analysis. Five of the ICIU cases were VKH-like ICIUs, and four were non-VKH-like ICIUs. No association was found between mean age, sex, primary disease, ICI, time to onset, and disease type. Four patients with VKH-like uveitis underwent HLA genotyping and were all positive for HLA-DRB1*04:05. All 3 patients with non-VKH-like uveitis were negative for HLA-DRB1*04:05. Statistical analysis showed that HLA-DRB1*04:05 was significantly associated with developing VKH-like ICIU (P = 0.029). In ICIU, HLA-DRB1*04:05 was associated with the pathogenesis of VKH-like uveitis, suggesting that ICI-associated VKH-like uveitis has a similar pathogenesis to VKH.

PMID:37604934 | DOI:10.1038/s41598-023-40565-z

J Public Health Policy. 2023 Aug 21. doi: 10.1057/s41271-023-00433-6. Online ahead of print.

ABSTRACT

Inequalities in the accessibility and utilization of quality, safe, and effective coronavirus disease 2019 (COVID-19) vaccines across and within countries limited their value in protecting health during the COVID-19 pandemic. We quantified cross-country, income-associated inequality in COVID-19 vaccination using statistical models based on the data for 79 countries through December 2021. We found notable inequality in vaccinations per capita. At least 11.9% of doses administered in high-income countries could be redistributed to low-income countries to substantially reduce income-associated inequality in vaccinations. The results of this modeling study indicate that reliance on multiple doses of vaccine to attain optimal protection from COVID-19 is a significant contributor to inequality in vaccinations per capita. Dose-sharing mechanisms should account for and include efforts to optimize the capabilities of health systems to deliver vaccines.

PMID:37604927 | DOI:10.1057/s41271-023-00433-6

Br Dent J. 2023 Aug 21. doi: 10.1038/s41415-023-6182-1. Online ahead of print.

ABSTRACT

Introduction Supervised toothbrushing programmes (STPs) are a cost-effective public health intervention, reducing tooth decay and health inequalities in children. However, the uptake of STPs in England is unknown. This study aimed to establish the current provision of STPs across England and summarise the barriers and facilitators to their implementation.Methods An online survey was sent to dental public health consultants, local authority (LA) oral health leads, and public health practitioners across England. Quantitative data were analysed using descriptive statistics. Barriers and facilitators were analysed using the Consolidated Framework for Implementation Research.Results Information was received for 141 LAs across England. Approximately half implemented an STP (n = 68/141). Most STPs were commissioned by LAs (n = 44/68) and adopted a targeted approach (n = 54/68). Barriers to implementation were: 1) acquiring funding; 2) poor communication and engagement between LAs, oral health providers and settings; 3) oral health not a priority; 4) logistically challenging to implement; and 5) lack of capacity. Facilitators were: 1) an integrated and mandated public health approach; 2) collaboration and ongoing support between LAs, oral health providers, and settings; 3) clarity of guidance; 4) flexible approach to delivery; 5) adequate available resources; and 6) ownership and empowerment of setting staff.Conclusion The current provision of STPs is varied, and although there are challenges to their implementation, there are also areas of good practice where these challenges have been overcome.

PMID:37604921 | DOI:10.1038/s41415-023-6182-1

Sci Rep. 2023 Aug 21;13(1):13626. doi: 10.1038/s41598-023-39006-8.

ABSTRACT

Moving around in crowds is part of our daily lives, and we are used to the associated restriction of mobility. Nevertheless, little is known about how individuals experience these limitations. Such knowledge would, however, help to predict behavior, assess crowding, and improve measures for safety and comfort. To address this research gap, we conducted two studies on how constrained mobility affects physiological arousal as measured by mobile electrodermal activity (EDA) sensors. In study 1, we constrained walking speed by externally imposing a specific walking speed without physical proximity to another person, while, in study 2, we varied walking speed by increasing the number of people in a given area. In study 1, we confirmed previous findings showing that faster speeds led to statistically significantly higher levels of physiological arousal. The external limitations of walking speed, however, even if perceived as uncomfortable, did not increase physiological arousal. In the second study, subjects’ speed was gradually reduced by density in a single-lane experiment. This study shows that physiological arousal increased statistically significant with increasing density and decreasing speed, suggesting that people experience more stress when their movement is restricted by proximity to others. The result of study 2 is even more significant given the results of study 1: When there are no other people around, arousal increases with walking speed due to the physiology of walking. This effect reverses when the speed must be reduced due to other people. Then the arousal increases at lower speeds.

PMID:37604897 | DOI:10.1038/s41598-023-39006-8

NPJ Digit Med. 2023 Aug 21;6(1):155. doi: 10.1038/s41746-023-00903-x.

ABSTRACT

Electronic health records are often incomplete, reducing the power of genetic association studies. For some diseases, such as knee osteoarthritis where the routine course of diagnosis involves an X-ray, image-based phenotyping offers an alternate and unbiased way to ascertain disease cases. We investigated this by training a deep-learning model to ascertain knee osteoarthritis cases from knee DXA scans that achieved clinician-level performance. Using our model, we identified 1931 (178%) more cases than currently diagnosed in the health record. Individuals diagnosed as cases by our model had higher rates of self-reported knee pain, for longer durations and with increased severity compared to control individuals. We trained another deep-learning model to measure the knee joint space width, a quantitative phenotype linked to knee osteoarthritis severity. In performing genetic association analysis, we found that use of a quantitative measure improved the number of genome-wide significant loci we discovered by an order of magnitude compared with our binary model of cases and controls despite the two phenotypes being highly genetically correlated. In addition we discovered associations between our quantitative measure of knee osteoarthritis and increased risk of adult fractures- a leading cause of injury-related death in older individuals-, illustrating the capability of image-based phenotyping to reveal epidemiological associations not captured in the electronic health record. For diseases with radiographic diagnosis, our results demonstrate the potential for using deep learning to phenotype at biobank scale, improving power for both genetic and epidemiological association analysis.

PMID:37604895 | DOI:10.1038/s41746-023-00903-x

Sci Rep. 2023 Aug 21;13(1):13633. doi: 10.1038/s41598-023-40690-9.

ABSTRACT

This work explores the potential for achieving correlated disorder in electrical circuits by utilizing reactive elements. By establishing a direct correspondence between the tight-binding Hamiltonian and the admittance matrix of the circuit, a novel approach is presented. The localization phenomena within the circuit are investigated through the analysis of the two-port impedance. To introduce correlated disorder, the Aubry-André-Harper (AAH) model is employed. Both one-dimensional and quasi-one-dimensional AAH structures are examined and effectively mapped to their tight-binding counterparts. Notably, transitions from a high-conducting phase to a low-conducting phase are observed in these circuits, highlighting the impact of correlated disorder.

PMID:37604882 | DOI:10.1038/s41598-023-40690-9

Nat Ecol Evol. 2023 Aug 21. doi: 10.1038/s41559-023-02150-5. Online ahead of print.

ABSTRACT

Dispersal across biogeographic barriers is a key process determining global patterns of biodiversity as it allows lineages to colonize and diversify in new realms. Here we demonstrate that past biogeographic dispersal events often depended on species’ traits, by analysing 7,009 tetrapod species in 56 clades. Biogeographic models incorporating body size or life history accrued more statistical support than trait-independent models in 91% of clades. In these clades, dispersal rates increased by 28-32% for lineages with traits favouring successful biogeographic dispersal. Differences between clades in the effect magnitude of life history on dispersal rates are linked to the strength and type of biogeographic barriers and intra-clade trait variability. In many cases, large body sizes and fast life histories facilitate dispersal success. However, species with small bodies and/or slow life histories, or those with average traits, have an advantage in a minority of clades. Body size-dispersal relationships were related to a clade’s average body size and life history strategy. These results provide important new insight into how traits have shaped the historical biogeography of tetrapod lineages and may impact present-day and future biogeographic dispersal.

PMID:37604875 | DOI:10.1038/s41559-023-02150-5

Sci Rep. 2023 Aug 21;13(1):13582. doi: 10.1038/s41598-023-40848-5.

ABSTRACT

We demonstrate that isomorphically mapping gray-level medical image matrices onto energy spaces underlying the framework of fast data density functional transform (fDDFT) can achieve the unsupervised recognition of lesion morphology. By introducing the architecture of geometric deep learning and metrics of graph neural networks, gridized density functionals of the fDDFT establish an unsupervised feature-aware mechanism with global convolutional kernels to extract the most likely lesion boundaries and produce lesion segmentation. An AutoEncoder-assisted module reduces the computational complexity from [Formula: see text] to [Formula: see text], thus efficiently speeding up global convolutional operations. We validate their performance utilizing various open-access datasets and discuss limitations. The inference time of each object in large three-dimensional datasets is 1.76 s on average. The proposed gridized density functionals have activation capability synergized with gradient ascent operations, hence can be modularized and embedded in pipelines of modern deep neural networks. Algorithms of geometric stability and similarity convergence also raise the accuracy of unsupervised recognition and segmentation of lesion images. Their performance achieves the standard requirement for conventional deep neural networks; the median dice score is higher than 0.75. The experiment shows that the synergy of fDDFT and a naïve neural network improves the training and inference time by 58% and 51%, respectively, and the dice score raises to 0.9415. This advantage facilitates fast computational modeling in interdisciplinary applications and clinical investigation.

PMID:37604860 | DOI:10.1038/s41598-023-40848-5