Advances of Hyaluronic Acid Nasal Injection Techniques and Complications: A Systematic Review.

Background: The increased demand for non-surgical rhinoplasty using hyaluronic acid (HA) has given impetus to explore more injection techniques and has also placed a higher demand on the coping of complications.

Objectives: The purpose of this systematic review is to provide clinicians with recommendations by broadly consolidating data on HA injections for rhinoplasty injection techniques and complications, and presenting the advantages and disadvantages of each technique and the treatment of complications.

Methods: A systematic electronic literature search using keywords and MESH search terms over the PubMed/Medline, Cochrane Central, Embase, Web of Science, and CNKI online databases was conducted from 2000 to 2024.

Subdural empyema caused by Aggregatibacter segnis: a rare case report and literature review.

Background: Aggregatibacter species are Gram-negative bacteria typically recognized as oral saprophytes in humans, with invasive infections uncommon in immunocompetent individuals. To the best our knowledge, this is the first reported case of subdural empyema attributed to Aggregatibacter segnis (A. segnis).

Heterogeneity-Aware Personalized Federated Neural Architecture Search.

Federated learning (FL), which enables collaborative learning across distributed nodes, confronts a significant heterogeneity challenge, primarily including resource heterogeneity induced by different hardware platforms, and statistical heterogeneity originating from non-IID private data distributions among clients. Neural architecture search (NAS), particularly one-shot NAS, holds great promise for automatically designing optimal personalized models tailored to such heterogeneous scenarios. However, the coexistence of both resource and statistical heterogeneity destabilizes the training of the one-shot supernet, impairs the evaluation of candidate architectures, and ultimately hinders the discovery of optimal personalized models.

An Efficient Evolutionary Neural Architecture Search Algorithm Without Training.

Neural Architecture Search (NAS) has made significant advancements in autonomously constructing high-performance network architectures, capturing extensive attention. However, a key challenge of existing NAS approaches is the intensive performance evaluation, leading to significant time and computational resource consumption. In this paper, we propose an efficient Evolutionary Neural Architecture Search (ENAS) method to address this issue.

Clinic Examination and Gene Diagnosis for a Birt-Hogg-Dubé Syndrome Family With a Novel Frameshift Mutation Causing Nonsense-Mediated mRNA Degradation.

Birt-Hogg-Dubé syndrome (BHD) was an autosomal dominant disorder caused by a mutation in the folliculin () gene and characterized by benign cutaneous fibrofolliculomas in the head and neck, pulmonary cysts, spontaneous pneumothorax, and combined renal tumors. This study reported a familial case presenting multiple pulmonary bullae, recurrent spontaneous pneumothorax, diffuse cystic lesions in both lungs, and renal cysts. To further clarify the diagnosis, next-generation sequencing (NGS) was performed in conjunction with the clinical diagnostic criteria for Birt-Hogg-Dubé.

A Psychological Model and Measurement of the Fast-Slow Life History Strategy.

Human life history (LH) variation stems from developmental phenotypic responses to childhood environments. As with other psychological constructs, LH variation can be assessed by asking questions that are statistically linked to the underlying LH traits. This study introduces the fast-slow scale (FSS), a 35-item questionnaire designed to measure fast-slow LH strategies in adults.

Exploring the impact of follicular fluid exosomes on porcine cumulus cell and oocyte function: Regulatory network analysis based on the ENSSSCG00000042788/ssc-miR-504/PDHA1 axis.

The development and maturation of mammalian oocytes are crucial stages in reproduction, directly influencing embryo health and the genetic quality of offspring. Follicular fluid serves as the microenvironment for oocyte development, with exosomes playing a key role in regulating the activities of cumulus cells and oocytes. However, the mechanisms governing porcine oocyte maturation remain incompletely understood.

Associations of Accelerometer-Estimated Sleep with Cardiorespiratory Fitness and Energetic Efficiency among Middle-Aged and Older Adults.

Background: Sleep disturbances and cardiovascular disease are common and often co-occur in middle-aged and older adults, but less is known about associations of sleep with cardiorespiratory fitness and energy efficiency in these populations. We examined cross-sectional associations of accelerometer-derived sleep metrics with cardiorespiratory fitness, walking energetics, and resting metabolic rate, and explored whether associations were moderated by age, sex, and race.

Methods: We studied 263 participants from the Baltimore Longitudinal Study of Aging (mean age 72.

MVT-Net: A novel cervical tumour segmentation using multi-view feature transfer learning.

Cervical cancer is one of the most aggressive malignant tumours of the reproductive system, posing a significant global threat to women's health. Accurately segmenting cervical tumours in MR images remains a challenging task due to the complex characteristics of tumours and the limitations of traditional methods. To address these challenges, this study proposes a novel cervical tumour segmentation model based on multi-view feature transfer learning, named MVT-Net.

Insights into immune-related adverse events in colorectal cancer patients receiving neoadjuvant immunotherapy: findings from a multicenter registry study.

Background: The growing use of immune checkpoint inhibitors (ICIs) in the neoadjuvant treatment of colorectal cancer (CRC) has highlighted immune-related adverse events (irAEs) as a major concern. This study aimed to investigate the characteristics of irAEs.

Methods: This study was a retrospective, multicenter, registry-based investigation conducted in China, including 148 patients who developed irAEs after neoadjuvant immunotherapy between September 2020 and March 2024.

White Matter Abnormalities and Cognition in Aging and Alzheimer Disease.

Importance: There has yet to be a large-scale study quantifying the association between white matter microstructure and cognitive performance and decline in aging and Alzheimer disease (AD).

Objective: To investigate the associations between tract-specific white matter microstructure and cognitive performance and decline in aging and AD-related cognitive impairment.

Design Setting And Participants: This prognostic study of aging and AD, a secondary data analysis of multisite cohort studies, acquired data from 9 cohorts between September 2002 and November 2022.

Longitudinal progression of blood biomarkers reveals a key role of reactive astrocytosis in preclinical Alzheimer's disease.

Background: Defining the progression of blood biomarkers in Alzheimer's disease (AD) is essential for targeting treatments in patients most likely to benefit from early intervention. We delineated the temporal ordering of blood biomarkers a decade prior to the onset of AD, explored associations with AD brain pathology, and examined the relationship between reactive astrocytosis in the brain and plasma in a transgenic mouse model.

Methods: We analyzed plasma blood biomarkers using the Quanterix HD-X instrument in case-control and postmortem cohorts from the Baltimore Longitudinal Study on Aging (BLSA).

Genetic architecture of the limbic white matter microstructure in aging and Alzheimer's Disease.

Background: Limbic white matter (WM) abnormalities are prevalent in aging and Alzheimer's disease (AD), yet their underlying biological mechanisms remain unclear. This study aims to identify the genetic architecture of limbic WM microstructure in older adults by leveraging harmonized data from multiple cohorts, including those enriched for cognitively impaired individuals.

Methods: We analyzed diffusion MRI (dMRI) data from 2,614 non-Hispanic White older adults (mean age = 73.

Drug-drug interactions between epidermal growth factor receptor tyrosine kinase inhibitors and rivaroxaban in vitro and in vivo.

Background: Tyrosine kinase inhibitor (TKI) and rivaroxaban co-administration is common for patients with cancer and venous thromboembolism. However, the drug-drug interactions (DDIs) between epidermal growth factor receptor (EGFR) TKIs and rivaroxaban remain uncertain.

Methods: DDIs were investigated in vitro and in vivo.

Relevance of selected pharmacogenetic polymorphisms to bleeding and thromboembolic risks in Chinese patients taking direct-acting oral anticoagulants.

Aims: Gene polymorphisms play a critical role in the variability of plasma concentrations of direct-acting oral anticoagulants (DOACs). In this study, we aimed to investigate the effects of genetic variants on the clinical outcomes of Chinese patients treated with DOACs.

Methods: The retrospective study recruited 720 patients with nonvalvular atrial fibrillation who were receiving dabigatran, rivaroxaban or edoxaban.

Nuclear SREBP2 condensates regulate the transcriptional activation of lipogenic genes and cholesterol homeostasis.

The precursor of sterol regulatory element-binding protein-2 (SREBP2) is a membrane-bound transcription factor regulating cholesterol biosynthesis. Under cholesterol-deficient conditions, mature SREBP2 is released from membrane-bound precursors through proteolytic cleavage and enters the nucleus. However, regulation of the transcriptional activity of nuclear SREBP2 (nSREBP2) is poorly understood.

Bony Septal Grafts Enhance Aesthetic Subunits and Ventilation in Unilateral Cleft Lip Nasal Deformity.

Background: East Asian patients with unilateral cleft lip and nasal deformity (UCLND) have severe septal deviated. An innovated septal reconstruction method using both perpendicular plate of ethmoid (PPE) and cartilage septum may improve ventilation and achieve similar aesthetic improvements as septal reconstruction using costal cartilage.

Methods: Patients with UCLND who underwent septal reconstruction using PPE or costal cartilage in the same period were retrospectively included in a 1:1 ratio.

An Artificial Intelligence Tool Used for Patient Selection in Cosmetic Surgery.

Background: Cosmetic surgery is becoming increasingly popular, but not all patients are suitable candidates. A thorough preoperative assessment and careful patient selection are essential for achieving successful outcomes. Given the challenges plastic surgeons face in conducting psychological assessments, we believe that artificial intelligence (AI) has the potential to assist in this critical task of patient selection.

A Real-Time Framework for EEG Signal Decoding With Graph Neural Networks and Reinforcement Learning.

Brain-computer interfaces (BCIs) rely on accurately decoding electroencephalography (EEG) motor imagery (MI) signals for effective device control. Graph neural networks (GNNs) outperform convolutional neural networks (CNNs) in this regard, by leveraging the spatial relationships between EEG electrodes through adjacency matrices. The EEG graph lottery ticket framework, EEG_GLT-Net, featuring the state-of-the-art (SOTA) EEG_GLT adjacency matrix method, has notably enhanced EEG MI signal classification, evidenced by an average accuracy of 83.

Adipose Decellularized Matrix: A Promising Skeletal Muscle Tissue Engineering Material for Volume Muscle Loss.

Volume muscle loss is a severe injury often caused by trauma, fracture, tumor resection, or degenerative disease, leading to long-term dysfunction or disability. The current gold-standard treatment is autologous muscle tissue transplantation, with limitations due to donor site restrictions, complications, and low regeneration efficiency. Tissue engineering shows potential to overcome these challenges and achieve optimal muscle regeneration, vascularization, nerve repair, and immunomodulation.

Directionality between cognitive function and daily physical activity patterns.

Introduction: Physical activity is a modifiable risk factor for dementia, but cognitive function is also important for physical activity engagement. This study evaluated the directionality of associations between daily physical activity and cognitive function in a sample of cognitively and physically intact older adults.

Methods: Cognitive factor scores for domains including global cognition, memory, language, executive function/attention, and visuospatial processing, and physical activity patterns from wrist accelerometry were measured at two visits (mean: 1.

The effect of Alzheimer's disease genetic factors on limbic white matter microstructure.

Introduction: White matter (WM) microstructure is essential for brain function but deteriorates with age and in neurodegenerative conditions such as Alzheimer's disease (AD). Diffusion MRI, enhanced by advanced bi-tensor models accounting for free water (FW), enables in vivo quantification of WM microstructural differences.

Methods: To evaluate how AD genetic risk factors affect limbic WM microstructure - crucial for memory and early impacted in disease - we conducted linear regression analyses in a cohort of 2,614 non-Hispanic White aging adults (aged 50.

Bioinspired Lipid Nanoparticles with Prolonged Cartilage Retention Boost Regeneration in Early Osteoarthritis and Large Cartilage Defects.

Osteoarthritis (OA) leads to the progressive degeneration of articular cartilage, yet there is currently no effective treatment available for both the early and late stages of osteoarthritis. Cartilage regeneration requires the action and prolonged retention of multiple drugs at injured sites to recruit endogenous cells and facilitate cartilage formation. Here, we propose a cartilage-binding-peptide-modified lipid nanoparticle as a drug carrier to achieve sustained release of protein (TGF-β3) and small molecular drugs (KGN) for one month.

A multilevel latent profile analysis to job demands, job resources, and personal resources in early childhood educators: Implications for multidimensional well-being.

Early childhood educators' (ECEs) well-being is important for many outcomes. Drawing on the job demands-resources model, many variable-centered studies have found that job demands, job resources, and personal resources are linked to ECEs' well-being. Yet, little is known about the heterogeneity of these demands and resources and their implications for well-being, especially considering school-level effects and the adoption of a holistic view of well-being.