The efficacy and safety of acupuncture in the treatment of sudden sensorineural hearing loss: A systematic review and meta-analysis.

Background: Despite numerous pharmacological and therapeutic options for sudden sensorineural hearing loss(SSNHL), treatment remains challenging due to various side effects and suboptimal efficacy. Acupuncture, as a complementary and alternative therapy, has achieved some success in this field. The objective of this study was to systematically evaluate the efficacy and safety of acupuncture for SSNHL, and to seek robust evidence-based medical evidence for the therapeutic effect of acupuncture.

Circulating tumor cells are associated with lung cancer subtypes: a large-scale retrospective study.

Background: Circulating tumor cells (CTCs) provide a unique resource to decipher cell molecular properties of lung cancer. However, the clinicopathologic and radiological features associated with CTCs in different lung cancer subtypes remain poorly characterized. The aim of this study was to explore the clinicopathological and radiological features of CTCs in different lung cancer subtypes.

Spatial microenvironment enhanced photocatalytic reduction of uranyl ions under solar light irradiation.

Photocatalytic reduction of uranyl ions (UO) is an environmentally friendly, energy efficient, and highly effective method for uranium-containing wastewater treatment and uranium recovery. Herein, a novel photocatalytic material CH-8 @NNFO-4 with abundant oxygen vacancies was synthesize by growing Ca(OH) on the surface of Fe doped NaNbO in situ. The Ca(OH) synergizes with the oxygen vacancies, creating a microenvironment that narrows the bandgap and extends the light response range.

Spatially Resolved CRISPR Screen Sequencing via Perturb-DBiT.

Perturb-seq enabled the profiling of transcriptional effects of genetic perturbations in single cells but lacks the ability to examine the impact on tissue environments. We present Perturb-DBiT for simultaneous co-sequencing of spatial transcriptome and guide RNAs (gRNAs) on the same tissue section for in vivo CRISPR screen with genome-scale gRNA libraries, offering a comprehensive understanding of how genetic modifications affect cellular behavior and tissue architecture. This platform supports a variety of delivery vectors, gRNA library sizes, and tissue preparations, along with two distinct gRNA capture methods, making it adaptable to a wide range of experimental setups.

Coupled electrostatic induction strategy toward polyaniline-derived hard carbon with uniformly microporous boosts high-rate sodium storage.

Constructing a uniform and controllable hard carbon anode with suitable micropores can effectively improve the overall sodium storage performance. Herein, an electrostatic induction strategy was used to change the structure of micelles by adding surfactant content to form polyaniline (PANI) with different morphologies. The presented synthesis method is characterized by the introduction of oppositely charged surfactants to induce rapid nucleation and the formation of foams with small pore sizes, which are then transformed into homogeneous microcellular pores by high-temperature carbonization.

Beta-cypermethrin-induced stress response and ABC transporter-mediated detoxification in Tetrahymena thermophila.

β-Cypermethrin (β-CYP), a synthetic pyrethroid pesticide, is widely used for insect management. However, it also affects non-target organisms and pollutes aquatic ecosystems. Tetrahymena thermophila, a unicellular ciliated protist found in fresh water, is in direct contact with aquatic environments and sensitive to environmental changes.

Liquid-liquid phase separation-related signature predicts prognosis and therapeutic response in esophageal adenocarcinoma.

Background: Esophageal adenocarcinoma is a leading cause of mortality worldwide. New evidence indicates that liquid-liquid phase separation is related to malignancies. The current study aims at exploring the functions of liquid-liquid phase separation within esophageal adenocarcinoma.

A Depth Awareness and Learnable Feature Fusion Network for Enhanced Geometric Perception in Semantic Correspondence.

Deep learning is becoming the most widely used technology for multi-sensor data fusion. Semantic correspondence has recently emerged as a foundational task, enabling a range of downstream applications, such as style or appearance transfer, robot manipulation, and pose estimation, through its ability to provide robust correspondence in RGB images with semantic information. However, current representations generated by self-supervised learning and generative models are often limited in their ability to capture and understand the geometric structure of objects, which is significant for matching the correct details in applications of semantic correspondence.

Bone-marrow macrophage-derived GPNMB protein binds to orphan receptor GPR39 and plays a critical role in cardiac repair.

Glycoprotein nonmetastatic melanoma protein B (GPNMB) is a type I transmembrane protein initially identified in nonmetastatic melanomas and has been associated with human heart failure; however, its role in cardiac injury and function remains unclear. Here we show that GPNMB expression is elevated in failing human and mouse hearts after myocardial infarction (MI). Lineage tracing and bone-marrow transplantation reveal that bone-marrow-derived macrophages are the main source of GPNMB in injured hearts.

A humanized monoclonal antibody targeting an ectonucleotidase rescues cardiac metabolism and heart function after myocardial infarction.

Myocardial infarction (MI) results in aberrant cardiac metabolism, but no therapeutics have been designed to target cardiac metabolism to enhance heart repair. We engineer a humanized monoclonal antibody against the ectonucleotidase ENPP1 (hENPP1mAb) that targets metabolic crosstalk in the infarcted heart. In mice expressing human ENPP1, systemic administration of hENPP1mAb metabolically reprograms myocytes and non-myocytes and leads to a significant rescue of post-MI heart dysfunction.

Insight into γ-Irradiation-Induced Structure Evolution of Uranium(IV) Germanates as Crystalline Nuclear Waste Forms.

New kinds of crystalline waste forms with improved structural stability are desirable for actinide immobilization. In this work, using a molten salt method, two uranium(IV) germanate compounds, namely, KUGeO () and KUGeO (), were synthesized, whose compositions consisted of trimeric and dimeric units of germanate, as well as tetravalent uranium, as proved by bond valence calculation and X-ray absorption spectra. Radiation stability assessment is further performed by γ-irradiation to assess the potential of as-synthesized uranium germanate compounds as nuclear waste forms.

Improved Bald Eagle Search Optimization Algorithm for the Inverse Kinematics of Robotic Manipulators.

The inverse kinematics of robotic manipulators involves determining an appropriate joint configuration to achieve a specified end-effector position. This problem is challenging because the inverse kinematics of manipulators are highly nonlinear and complexly coupled. To address this challenge, the bald eagle search optimization algorithm is introduced.

Landscape of the immune infiltration and identification of molecular diagnostic markers associated with immune cells in patients with kidney transplantation.

Rejection seriously affects the success of kidney transplantations. However, the molecular mechanisms underlying this rejection remain unclear. The GSE21374 and GSE36059 datasets were downloaded from the Gene Expression Omnibus (GEO) database.

Effect of laterality on the postoperative survival of non-small cell lung cancer patients undergoing pneumonectomy.

Background: Pneumonectomy is one of the important surgical methods for non-small cell lung cancer (NSCLC). This study evaluated the effects of laterality on the short- and long-term survival of NSCLC patients undergoing pneumonectomy.

Methods: We reviewed the Surveillance, Epidemiology, and End Results database to retrieve the data of patients who underwent pneumonectomy for stage I-III NSCLC from 2004 to 2015.

Spatially exploring RNA biology in archival formalin-fixed paraffin-embedded tissues.

The capability to spatially explore RNA biology in formalin-fixed paraffin-embedded (FFPE) tissues holds transformative potential for histopathology research. Here, we present pathology-compatible deterministic barcoding in tissue (Patho-DBiT) by combining in situ polyadenylation and computational innovation for spatial whole transcriptome sequencing, tailored to probe the diverse RNA species in clinically archived FFPE samples. It permits spatial co-profiling of gene expression and RNA processing, unveiling region-specific splicing isoforms, and high-sensitivity transcriptomic mapping of clinical tumor FFPE tissues stored for 5 years.

Imaged Capillary Isoelectric Focusing Coupled to High-Resolution Mass Spectrometry (icIEF-MS) for Cysteine-Linked Antibody-Drug Conjugate (ADC) Heterogeneity Characterization Under Native Condition.

Native mass spectrometry (nMS) is a cutting-edge technique that leverages electrospray ionization MS (ESI-MS) to investigate large biomolecules and their complexes in solution. The goal of nMS is to retain the native structural features and interactions of the analytes during the transition to the gas phase, providing insights into their natural conformations. In biopharmaceutical development, nMS serves as a powerful tool for analyzing complex protein heterogeneity, allowing for the examination of non-covalently bonded assemblies in a state that closely resembles their natural folded form.

Extraction of phenolic acids and tetramethylpyrazine in Shanxi aged vinegar base on vortex-assisted liquid-liquid microextraction-hydrophobic deep eutectic solvent: COSMO-RS calculations and ANN-GA optimization.

In this study, vortex-assisted liquid-liquid microextraction (VA-LLME) based on hydrophobic deep eutectic solvents (HDES) was used to efficiently and sustainably extract five phenolic acids and tetramethylpyrazine (TMP) from Shanxi aged vinegar (SAV). The VA-LLME technique was employed to investigate the extraction mechanism of HDES with the best extraction performance for the target compounds using a conductor-like screening model for real solvents (COSMO-RS). An artificial neural network combined with a genetic algorithm (ANN-GA) was developed to optimize the extraction conditions based on single-factor and response surface methodology, while also analyzing the interactive effects on the phenolic acids and TMP in the extracted solution during the extraction phase.

The type 2 cytokine Fc-IL-4 revitalizes exhausted CD8 T cells against cancer.

Current cancer immunotherapy predominately focuses on eliciting type 1 immune responses fighting cancer; however, long-term complete remission remains uncommon. A pivotal question arises as to whether type 2 immunity can be orchestrated alongside type 1-centric immunotherapy to achieve enduring response against cancer. Here we show that an interleukin-4 fusion protein (Fc-IL-4), a typical type 2 cytokine, directly acts on CD8 T cells and enriches functional terminally exhausted CD8 T (CD8 T) cells in the tumour.