Alzheimer's disease (AD), a progressive dementia, is one of the most common neurodegenerative diseases. Clinical trial results of amyloid-β (Aβ) and tau regulators based on the pretext of straightforward amyloid and tau immunotherapy were disappointing. There are currently no effective strategies for slowing the progression of AD. Herein, we spotlight the dysregulation of lipid metabolism, particularly the elevation of ceramides (Cers), as a critical yet underexplored facet of AD pathogenesis. Our study delineates the role of Cers in promoting microglial pyroptosis, a form of programmed cell death distinct from apoptosis and necroptosis, characterized by cellular swelling, and membrane rupture mediated by the NLRP3 inflammasome pathway. Utilizing both in vivo experiments with amyloid precursor protein (APP)/presenilin 1 (PS1) transgenic mice and in vitro assays with BV-2 microglial cells, we investigate the activation of microglial pyroptosis by Cers and its inhibition by icariin (ICA), a flavonoid with known antioxidant and anti-inflammatory properties. Our findings reveal a significant increase in Cers levels and pyroptosis markers (NOD-like receptor family, pyrin domain containing 3 (NLRP3), apoptosis-associated speck-like protein containing a caspase recruitment domain, caspase-1, gasdermin D (gasdermin D (GSDMD)), and interleukin-18 (IL-18)) in the brains of AD model mice, indicating a direct involvement of Cers in AD pathology through the induction of microglial pyroptosis. Conversely, ICA treatment effectively reduces these pyroptotic markers and Cer levels, thereby attenuating microglial pyroptosis and suggesting a novel therapeutic mechanism of action against AD. This study not only advances our understanding of the pathogenic role of Cers in AD but also introduces ICA as a promising candidate for AD therapy, capable of mitigating neuroinflammation and pyroptosis through the cyclooxygenase-2 (COX-2)-NLRP3 inflammasome-gasdermin D (GSDMD) axis. Our results pave the way for further exploration of Cer metabolism disorders in neurodegenerative diseases and highlight the therapeutic potential of targeting microglial pyroptosis in AD.

Identifying drug-drug interactions (DDIs) is essential to prevent adverse effects from polypharmacy. Although deep learning has advanced DDI identification, the gap between powerful models and their lack of clinical application and evaluation has hindered clinical benefits. Here, we developed a Multi-Dimensional Feature Fusion model named MDFF, which integrates one-dimensional simplified molecular input line entry system sequence features, two-dimensional molecular graph features, and three-dimensional geometric features to enhance drug representations for predicting DDIs. MDFF was trained and validated on two DDI datasets, evaluated across three distinct scenarios, and compared with advanced DDI prediction models using accuracy, precision, recall, area under the curve, and F1 score metrics. MDFF achieved state-of-the-art performance across all metrics. Ablation experiments showed that integrating multi-dimensional drug features yielded the best results. More importantly, we obtained adverse drug reaction reports uploaded by Xiangya Hospital of Central South University from 2021 to 2023 and used MDFF to identify potential adverse DDIs. Among 12 real-world adverse drug reaction reports, the predictions of 9 reports were supported by relevant evidence. Additionally, MDFF demonstrated the ability to explain adverse DDI mechanisms, providing insights into the mechanisms behind one specific report and highlighting its potential to assist practitioners in improving medical practice.

OBJECTIVE: This study aimed to evaluate the association between susceptibility genes and non-alcoholic fatty liver disease (NAFLD) in children with obesity. METHODS: We conducted a two-step case-control study. Ninety-three participants were subjected to whole-exome sequencing (exploratory set). Differential genes identified in the small sample were validated in 1,022 participants using multiplex polymerase chain reaction and high-throughput sequencing (validation set). RESULTS: In the exploratory set, 14 genes from the NAFLD-associated pathways were identified. In the validation set, after adjusting for sex, age, and body mass index, ECI2 rs2326408 (dominant model: OR = 1.33, 95% CI: 1.02-1.72; additive model: OR = 1.22, 95% CI: 1.01-1.47), C6orf201 rs659305 (dominant model: OR = 1.30, 95% CI: 1.01-1.69; additive model: OR = 1.21, 95% CI: 1.00-1.45), CALML5 rs10904516 (pre-ad dominant model: OR = 1.36, 95% CI: 1.01-1.83; adjusted dominant model: OR = 1.40, 95% CI: 1.03-1.91; and pre-ad additive model: OR = 1.26, 95% CI: 1.04-1.66) polymorphisms were significantly associated with NAFLD in children with obesity ( P < 0.05). Interaction analysis revealed that the gene-gene interaction model of CALML5 rs10904516, COX11 rs17209882, and SCD5 rs3733228 was optional ( P < 0.05), demonstrating a negative interaction between the three genes. CONCLUSION In the Chinese population, the CALML5 rs10904516, C6orf201 rs659305, and ECI2 rs2326408 variants could be genetic markers for NAFLD susceptibility.
Humans ; Non-alcoholic Fatty Liver Disease/genetics* ; Child ; Male ; Female ; Genetic Predisposition to Disease ; Case-Control Studies ; Exome Sequencing ; Adolescent ; Polymorphism, Single Nucleotide ; Obesity/complications* ; Pediatric Obesity/complications* ; China

Cancer brings about an enormous threat to human health,making the exploration of its mechanisms and therapeutic strategies a current focal point and challenge in research.Bacteriophages are integral components of the human microbiome,and studies have shown their influences on tumor growth and metastasis and their pivotal role in cancer treatment.This article elucidates the mechanisms by which bacteriophages impact the occurrence and development of cancer from their interactions with cancer cells,effects on bacteria,and influence on the immune system.Additionally,it explores bacteriophage-based strategies in cancer treatment and their potential in this field.This article aims to bring new thoughts and insights to the research in this field.
Humans ; Bacteriophages ; Microbiota ; Neoplasms/therapy* ; Phage Therapy

BackgroundIn recent years， the prevalence of depression among adolescents has risen steadily， alongside an increasing prominence of non-suicidal self-injury （NSSI） behaviors in this population， which may elevate suicide risk and constitute a serious public health problem. Negative emotions such as anxiety and depression are closely related to NSSI behaviors. Previous studies have predominantly relied on retrospective reports， limiting the ability to dynamically capture temporal relationships between emotional fluctuations and NSSI behaviors. Moreover， cognitive behavioral therapy （CBT） often lacks targeted design to address proximal triggers in interventions for NSSI behaviors. ObjectiveTo verify that anxiety as a proximal trigger factor for NSSI behaviors in adolescent patients with depression， and to evaluate the efficacy of modified CBT integrated with ecological momentary assessment （EMA） data in alleviating their anxiety and self-injury urges. MethodsA prospective cohort study design was adopted. A total of 132 adolescent patients with a history of NSSI behaviors who were treated at Jiujiang Fifth People's Hospital from January to December 2024 and met the diagnostic criteria for depression in the Diagnosed and Statistical Manual of Mental Disorders， fifth edition （DSM-5）. A smartphone-based EMA application to conduct natural situation emotions on participants for 14 consecutive days. The monitoring period spanned from 10∶00 to 22∶00 daily， with randomized assessments pushed every 2 hours. The assessment tools included the Self-rating Anxiety Scale （SAS） and the negative affect subscale of the Positive and Negative Affect Schedule （PANAS）， with real-time recording of NSSI behaviors and emotional states before and after their occurrence. Repeated measures analysis of variance was used to compare the dynamic changes in the scores of each scale before and after the episodes of NSSI behaviors. A modified CBT was administered to 83 participants who completed EMA data collection， with sessions conducted once weekly for 12 weeks. Anxiety levels were accessed using the SAS， and the self-injury urges was evaluated using the Ottawa Self-injury Inventory （OSI） before and after the intervention. ResultsEMA data revealed that SAS scores were significantly higher during the 1-2 hours before NSSI episodes compared to baseline periods ［（56.19±11.06）vs.（52.83±10.25），P<0.01］. SAS scores were positively correlated with the NSSI behavioral scores （r=0.460，P<0.01，95% CI：0.310-0.580）. After receiving modified CBT intervention， adolescent patients with depression demonstrated statistically significant decreases in both SAS scores ［（52.30±8.10） vs.（48.70±7.30），t（82）=4.820，P<0.01，Cohen's d=0.420］ and the OSI self-injury impulse subcale scores ［（12.80±2.70） vs.（9.60±2.50），t（82）=5.170，P<0.01，Cohen's d=0.510］ compared to their pre-intervention levels. ConclusionAnxiety may serve as a proximal trigger for NSSI behaviors in adolescent patients with depression. Modified CBT integrating EMA data could potentially alleviate their anxiety level and self-injury urges. ［Funded by Science and Technology Plan Project of Jiangxi Provincial Health Commission （number， SKJP220227629）］

Maxillary expansion serves as the principal treatment for maxillary transverse deficiency in clinical practice. Simulating maxillary expansion in animals is the main research approach to assess its mechanism, effect, and stability. Thus, the animal model of maxillary expansion holds great significance in orthodontic research. Rats and rabbits are typically selected for common animal models because the maintenance cost is relatively low; however, their oral anatomy and masticatory behaviors differ significantly from those of humans, and their bone metabolism rates are substantially higher. Consequently, these factors should be carefully considered when extrapolating research findings and applying them to human clinical applications. Miniature pigs and dogs exhibit maxillofacial structures and chewing patterns that closely resemble those of humans; however, their broader application in research is constrained by high maintenance costs and ethical concerns. Rats with small oral space typically require the use of an elastic stainless steel wire expansion appliance, which can be divided into anterior maxillary expansion and posterior maxillary expansion. Rabbits, miniature pigs, and dogs have sufficient oral space and can be fitted with a variety of expansion appliances, including traditional tooth-borne expansion, microimplant-assisted expansion, and new magnetic expansion appliance. Animal models of maxillary expansion are currently used to study the mechanism of mechanically induced bone remodeling in order to provide potential therapeutic targets to promote bone remodeling in clinical orthodontic treatment; different orthodontic devices have been compared and evaluated to verify the correction effect of a new type of orthodontic device and provide experimental evidence for its clinical application; and supplementary methods of maxillary expansion have been screened to explore drug and physical therapy to accelerate the osteogenesis of the palatal suture, so as to shorten the retention time of clinical maxillary expansion and provide patients with more efficient and comfortable treatment. This paper summerized advances in animal models of maxillary expansion and the application effects in order to provide a reference for using an animal model of maxillary expansion.

BACKGROUND: The choice of unicompartmental knee arthroplasty (UKA) vs . total knee arthroplasty (TKA) in the surgical treatment of knee osteoarthritis (KOA) remains controversial. This study aimed to perform a systematic review and meta-analysis of randomized controlled trials (RCTs) to compare the clinical results of UKA and TKA for treating unicompartmental KOA. METHODS: PubMed, Embase, and the Cochrane Library were systematically searched for articles published up to January 2, 2023. The literature was rigorously screened to include only RCTs comparing UKA and TKA for unicompartmental KOA. A systematic review and meta-analysis were performed to calculate the mean difference (MD), relative risk (RR), and 95% confidence interval (CI) according to the Cochrane standards. RESULTS: Thirteen publications involving 683 UKAs and 683 TKAs were analyzed. Except for one study with a follow-up period of 15 years, all outcome measures reported were within 5 years of follow-up. Meta-analysis showed better knee recovery (MD: 1.23; 95% CI: 1.01-1.45; P  <0.001), greater knee function (MD: 1.78; 95% CI: 0.34-3.22; P  = 0.020), less pain (MD: 0.75; 95% CI: 0.43-1.06; P  <0.001), and better health status (MD: 3.75; 95% CI: 0.81-6.69; P  = 0.010) after UKA than TKA. However, considering the minimal clinically important difference values for these variables, the findings were not clinically relevant. Moreover, UKA patients had fewer complications (RR: 0.59; 95% CI: 0.45-0.78; P  <0.001) and shorter hospital stays (MD: -0.89; 95% CI: -1.57 to -0.22; P  = 0.009) than did TKA patients. There were no statistically significant differences in terms of postoperative range of movement, revision, failure, operation time, and patient satisfaction. CONCLUSIONS In terms of clinical efficacy, there was no obvious advantage of UKA over TKA in the surgical treatment of knee OA when considering the minimal clinically important difference. The main advantage of UKA over TKA is that it leads to fewer complications and a shorter length of hospital stay. It is ideal to perform prospective studies with longer follow-up periods to fully evaluate the long-term efficacy and safety of the two procedures in the future.
Humans ; Arthroplasty, Replacement, Knee/methods* ; Osteoarthritis, Knee/surgery* ; Randomized Controlled Trials as Topic ; Treatment Outcome