Cost-effective enhancement of SPR performance via spectral shaping techniques.

Surface plasmon resonance (SPR) technology has been widely applied in various fields, such as biosensing, environmental monitoring, food safety, and drug screening. However, the signal-to-noise ratio (SNR) of SPR sensors varies with wavelength and greatly affects their performance due to the fact that optics and sensors work differently for varying wavelengths of light. To address this issue, this paper proposes a simple and effective spectral shaping method based on a multi-field-of-view spectrometer combined with a mask.

Applications and limitations of pluripotent stem cell-derived liver organoids.

Liver disease is one of leading causes of death worldwide. However, current liver models have limited research progress. Therefore, models that accurately reflect the physiological functions of the human liver are urgently needed in both clinical and laboratory research.

Melatonin inhibits adipogenesis and enhances osteogenesis of BMSCs through increasing KLF5 expression.

Bone marrow-derived mesenchymal stem cells (BMSCs) maintain bone homeostasis by balancing adipogenesis and osteogenesis, with disruption of this balance favoring adipogenesis contributing to osteoporosis. Melatonin, known for regulating bone metabolism, promotes osteogenesis and inhibits adipogenesis, but the mechanisms remain unclear. This study investigates whether melatonin regulates BMSC differentiation by modulating the methylation of the Krüppel-like factor 5 (KLF5) promoter, a transcription factor involved in both adipogenesis and osteogenesis.

[Current status of acupuncture education and reflections on future reforms].

Education is a crucial element in the development of acupuncture as a discipline, providing essential talent support for its future advancement. A structured interview was conducted with renowned acupuncture expert Professor , focusing on key topics such as the core of acupuncture education, the connotation and development of acupuncture textbooks, and acupuncture teaching models. Through in-depth discussion, the current problems in acupuncture education were analyzed, and possible solutions were explored, aiming to offer ideas for the innovative development of acupuncture education.

EpiMII: Integrating Structure and Graph Neural Networks for MHC-II Epitope and Neoantigen Design.

MHC-II neoantigens play a critical role in immunotherapy, either as direct effectors or through their influence on CD8 T cells. However, only a small fraction of tumor DNA mutations qualify as functional neoantigens, and current prediction tools often lack accuracy, leading to the low immunogenicity of predicted neoantigens in vivo. Here, we present EpiMII, a Graph Neural Network model for MHC-II epitope design, which learns from the structural features of epitopes to predict their sequences.

AntiBMPNN: Structure-Guided Graph Neural Networks for Precision Antibody Engineering.

Antibodies are crucial for medical applications, yet traditional methods for designing sequences are inefficient. This study introduces AntiBMPNN, an advanced deep-learning framework that leverages an antibody-specific 3D dataset, a fine-tuned message-passing neural network (MPNN), a frequency-based scoring function, and AlphaFold 3 to achieve highly accurate antibody sequence design. AntiBMPNN surpasses ProteinMPNN with a perplexity of 1.

Machine Learning Model for Predicting Sertraline-like Activities and Its Impact on Cancer Chemosensitization.

Selective serotonin reuptake inhibitors (SSRIs) like sertraline are crucial in treating depression and anxiety disorders, and studies indicate their potential as chemosensitizers in cancer therapy. This research develops a machine-learning predictive model to identify novel compounds with sertraline-like antidepressant activity. We constructed and validated a customized machine-learning model to predict SSRI activity in new compounds.

Effectiveness and priority of irradiation and six NSAIDs in prevention heterotopic ossification after total hip arthroplasty: a network meta-analysis of randomized controlled studies.

Background: Heterotopic ossification (HO) involves the ectopic deposition of bone in soft tissues, frequently occurring as a complication post-hip trauma or surgery. To prevent HO following total hip arthroplasty (THA), irradiation has been extensively employed, alongside the use of nonsteroidal anti-inflammatory drugs (NSAIDs). Given the extensive range of NSAIDs available, determining the most effective NSAID or irradiation protocol for prophylaxis continues to be a matter of debate.

Bioinformatics and experimental validation of ferroptosis-related genes in steroid-induced osteonecrosis of the femoral head.

Background: Steroid-induced osteonecrosis of the femoral head (SONFH) is a progressive condition that causes increasing disability. It is thought to result from reduced blood flow and oxygen levels in the femoral head, with reactive oxygen species (ROS) playing a key role in triggering ferroptosis. However, the role of ferroptosis in SONFH progression remains underexplored.

Polymeric immunoglobulin receptor (pIgR) in cancer progression: a critical role and potential therapeutic target.

Polymeric immunoglobulin receptor (pIgR) is a crucial receptor that primarily mediates the transcytosis of immunoglobulins A and M across epithelial cells, emerging as an essential participant in modulating both mucosal immunity and innate immunity. Recently, pIgR dysregulation in cancer has garnered widespread attention. It exhibits distinct mechanisms and effects across various cancer types with significant clinical value as a biomarker for malignant tumor diagnosis and prognosis evaluation.

ProstaNet: A Novel Geometric Vector Perceptrons-Graph Neural Network Algorithm for Protein Stability Prediction in Single- and Multiple-Point Mutations with Experimental Validation.

Proteins play a critical role in biology and biopharma due to their specificity and minimal side effects. Predicting the effects of mutations on protein stability is vital but experimentally challenging. Deep learning offers an efficient solution to this problem.

Porcine Recombinant NK-Lysin Inhibits the Growth and Metastasis of Murine Hepatocellular Carcinoma In Vivo.

Porcine recombinant NK-lysin (prNK-lysin) has been shown to inhibit the proliferation and metastasis of hepatocellular carcinoma (HCC) cells in vitro. However, its effects on the proliferation and metastasis of HCC cells in vivo remain unclear. In this study, an allograft murine model using the murine HCC cell line Hepa1-6 was employed to investigate the anticancer effects of prNK-lysin.

GraphDeep-hERG: Graph Neural Network PharmacoAnalytics for Assessing hERG-Related Cardiotoxicity.

Purpose: The human Ether-a-go-go Related-Gene (hERG) encodes rectifying potassium channels that play a significant role during action potential repolarization of cardiomyocytes. Blockade of the hERG channel by off-target drugs can lead to long QT syndrome, significantly increasing the risk of proarrhythmic cardiotoxicity. Traditional hERG screening methods are effort-demanding and time-consuming.

Recurrent patellar dislocation: treatments and challenges.

Recurrent Patellar Dislocation (RPD) is a common knee sports injury, mainly affecting pediatric and adolescent populations, posing a significant challenge in orthopedic clinical practice. Although a variety of treatments have been reported, and many of them have shown good initial results, there is a lack of long-term follow-up results. Each treatment method has its own unique characteristics and limitations, and there is no standardized and unified treatment plan.

Integrated Analysis of mRNAs, lncRNAs, and circRNAs Expression Profile in Human Colorectal Cancer.

Background: Colorectal cancer is the third most common cancer worldwide and one of the leading causes of cancer-related death. However, current treatment options are not ideal.

Methods: In this study, mRNAs, lncRNAs, and circRNAs expression profiles in four pairs of HCT116 and FHC cells were detected by microarray technology.

Surrounding rock control for the roadway driven under the goafs of small collieries and heading for adjacent advancing face.

Aiming at the problems of complex stress and large deformations in the surrounding rocks of the roadway driven under the goafs of small collieries and heading for adjacent advancing coal face, by numerical modeling and field practice, the failure characteristics of the overlying coal and rocks were investigated, and the stopping and resuming times of the roadway excavation were identified. A zoning-based reinforcement technique was put forward and applied in engineering practice. The results showed that (1) The roadway roof was divided into four zones: "Rolid coal zone", "Residual pillar zone", "Roof caved zone", and "Roof un-caved zone".

Structural insight into CD20/CD3-bispecific antibodies by molecular modeling.

Non-Hodgkin's Lymphoma (NHL) remains a significant challenge in hematology, with chemotherapy and radiation therapy as conventional treatment options, albeit with limitations such as adverse effects. Immunotherapy, particularly bispecific antibodies (BsAbs) T cell engagers (TCEs), has emerged as a promising approach. Despite their potential, TCEs pose challenges, including adverse events like cytokine release syndrome.

YTHDC1 Regulates the Migration, Invasion, Proliferation, and Apoptosis of Rheumatoid Fibroblast-Like Synoviocytes.

Background: Rheumatoid arthritis (RA), a chronic autoimmune condition, is characterized by persistent synovial inflammation, bone degradation, and progressive joint deterioration. Despite considerable research efforts, the precise molecular mechanism underlying RA remains elusive. This investigation aims to elucidate the potential role and molecular mechanism of N6-methyladenosine (mA) methylation regulators in the pathogenesis of RA.

Effects of high-molecular-weight glutenin subunit on hard-steamed bread quality.

Introduction: Steamed bread (SB) is a daily food in many countries in the world, but the relationship between HMW-GS and the quality of SB remain unclear.

Methods: This study investigated the effects of 12 subunit combinations on the characteristics of SB, including volume, physical properties, and sensory evaluation, combined with the microstructure and dough rheological properties.

Results: The locus effect results showed, volume and physical properties of SB were >>, while sensory scores >>.

Inflammatory cytokines and carpal tunnel syndrome: A causal relationship revealed.

Objectives: Carpal tunnel syndrome (CTS) and certain inflammatory cytokines have been linked in observational studies; however, the exact causative linkages remain unknown. The purpose of this study is to investigate any possible link between the onset of CTS and 91 inflammatory cytokines.

Methods: A two-sample bidirectional Mendelian randomization (MR) approach was used in this investigation.

AI-based IsAb2.0 for antibody design.

Therapeutic antibody design has garnered widespread attention, highlighting its interdisciplinary importance. Advancements in technology emphasize the critical role of designing nanobodies and humanized antibodies in antibody engineering. However, current experimental methods are costly and time-consuming.