Lithium-doped calcium silicate cement regulates the immune microenvironment and promotes M2 macrophage polarization for enhancing bone regeneration.

Bone defects present a significant challenge in orthopedics and trauma surgery, necessitating innovative approaches to stimulate effective bone regeneration. This study investigated the potential of lithium-doped calcium silicate (LiCS) cement to enhance bone regeneration and modulate the immune microenvironment to promote tissue repair. We synthesized a LiCS ceramic powder and performed comprehensive analyses of its physicochemical properties, including phase composition, morphology, setting time, and mechanical strength.

Global Fatty Degeneration Index on Preoperative MRI Predicts Early Postoperative Shoulder Stiffness at 3 Months Following Primary Rotator Cuff Repair.

Purpose: To determine if the fatty infiltration of rotator cuff muscles, as measured by magnetic resonance imaging (MRI) preoperatively and assessed using the Goutallier Fatty Degeneration Index (GFDI), can predict early post-operative shoulder stiffness (POSS) following rotator cuff repair (RCR).

Methods: This retrospective longitudinal cohort study included patients who underwent primary RCR, had available medical records, and underwent MRI before RCR between November 2012 and July 2022. Patients were excluded based on the following criteria: (1) preoperative shoulder stiffness, (2) additional procedures (e.

Expression-Dependent Tumor Pretargeting via Engineered Avidity.

Selective delivery of therapeutic modalities to tumor cells via binding of tumor-selective cell-surface biomarkers has empowered substantial advances in cancer treatment. Yet, tumor cells generally lack a truly specific biomarker that is present in high density on tumor tissue while being completely absent from healthy tissue. Rather, low but nonzero expression in healthy tissues results in on-target, off-tumor activity with detrimental side effects that constrain the therapeutic window or prevent use altogether.

Individual and clinical factors associated with patient acceptance of referrals to social services and community resources at a multi-purpose resource hub.

Emerging evidence suggests that bi-directional communication and referral pathways, when employed strategically, can lead to favorable health outcomes by connecting patients with complex, multi-faceted health and social needs to appropriate services and resources. However, despite these benefits, patient acceptance of referrals via these pathways remains suboptimal. In this study, we describe individual and clinical factors associated with patient acceptance of these referrals.

Precision Thermostability Predictions: Leveraging Machine Learning for Examining Laccases and Their Associated Genes.

Laccases, multi-copper oxidases, play pivotal roles in the oxidation of a variety of substrates, impacting numerous biological functions and industrial processes. However, their industrial adoption has been limited by challenges in thermostability. This study employed advanced computational models, including random forest (RF) regressors and convolutional neural networks (CNNs), to predict and enhance the thermostability of laccases.