Smart and Noninvasive SERS Immunosensors for Monitoring Dynamic Expression of Cytokines during Cell Pyroptosis.

Accompanying the occurrence of inflammatory reaction to release cytokines, pyroptosis can activate an immune response for resistance against cancer. Consequently, elevated levels of cytokines released by cancer cells are highly correlated with the effectiveness of cancer treatment. Herein, a noninvasive surface-enhanced Raman spectroscopy (SERS) immunosensor was developed to sensitively and specifically measure the tumor necrosis factor-α (TNF-α), a proinflammatory cytokine, during the cell pyroptosis process.

Screening of obstructive sleep apnea and diabetes mellitus -related biomarkers based on integrated bioinformatics analysis and machine learning.

Background: The pathophysiology of obstructive sleep apnea (OSA) and diabetes mellitus (DM) is still unknown, despite clinical reports linking the two conditions. After investigating potential roles for DM-related genes in the pathophysiology of OSA, our goal is to investigate the molecular significance of the condition. Machine learning is a useful approach to understanding complex gene expression data to find biomarkers for the diagnosis of OSA.

Pharmacokinetics, mass balance, and metabolism of [C]PLB1004, a selective and irreversible EGFR-TKI in humans.

Purpose: PLB1004, developed by Beijing Avistone Biotechnology Co., Ltd., is a safe, highly selective, and efficient irreversible epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) employed in treating non-small-cell-lung-cancer (NSCLC).

Simultaneous Quantification of Total Antibody and Conjugated Payload for DS001 in Rat Serum Using a Hybrid Immuno-Capture LC-MS/MS.

Antibody-drug conjugates (ADCs) are intricate compounds that pose significant challenges in bioanalytical characterization. Therefore, multiple bioanalytical methods are required to comprehensively elucidate their pharmacokinetic (PK) profiles. In this study, we investigated DS001, an ADC consisting of a humanized monoclonal antibody (hRS7), a cleavable chemical linker, and the microtubule inhibitor monomethyl auristatin E (MMAE), with a drug-to-antibody ratio (DAR) of 8.

When microplastics meet microalgae: Unveiling the dynamic formation of aggregates and their impact on toxicity and environmental health.

Microplastics (MPs) commonly coexist with microalgae in aquatic environments, can heteroaggregate during their interaction, and potentially affect the migration and impacts of MPs in aquatic environments. The hetero-aggregation may also influence the fate of other pollutants through MPs' adsorption or alter their aquatic toxicity. Here, we explored the hetero-aggregation process and its key driving mechanism that occurred between green microalga Chlorella vulgaris (with a cell size of 2-10 μm) and two types of MPs (polystyrene and polylactide, 613 μm).

Development of plantaricin RX-8 loaded pectin/4-carboxyphenylboric acid/carboxymethyl chitosan hydrogel microbead: A potential targeted oral delivery system.

Bacteriocin can effectively improve the gut inflammation for their superior antibacterial activity. However, its inherent attributes, such as easily degraded and off-target effect in the gastrointestinal environment, make bacteriocins' efficient oral delivery a great challenge. Herein, a pectin/4-carboxyphenylboric acid/carboxymethyl chitosan (PEC/CPBA/CMCS) hydrogel microbead targeted oral delivery system was innovatively developed for the plantaricin RX-8 protective delivery, precisely targeted inflammatory microenvironment (IME) and sustained released plantaricin RX-8 by pH/ROS dual stimulation response.

Cropformer: An Interpretable Deep Learning Framework for Crop Genome Prediction.

Machine learning and deep learning have been employed in genomic selection (GS) to expedite the identification of superior genotypes and accelerate breeding cycles. However, a significant challenge for current data-driven deep learning models in GS is their low robustness and interpretability. To address this challenge, we developed Cropformer, a deep learning framework for predicting crop phenotypes and exploring downstream tasks.

Single-cell transcriptomic reveals the peritoneal microenvironmental change in long-term peritoneal dialysis patients with ultrafiltration failure.

The microenvironmental changes in peritoneal dialysis effluent (PDE) after long-term vintage (LV) of PD in patients with ultrafiltration failure (LV_UF) are unclear. Single-cell sequencing revealed that peritoneal neutrophils were elevated in LV_UF patients, while MRC1-macrophage subcluster decreased compared with PD patients with short vintage (SV) and LV without ultrafiltration failure (LV_NOT_UF). Compared with the LV_NOT_UF group, the upregulated differentially expressed genes (DEGs) of monocytes/macrophages in the LV_UF group were involved in inflammatory response and EMT progress.

Quantification of serum daratumumab in multiple myeloma patients by LC-MS/MS, comparison with ELISA.

Daratumumab is a fully human immunoglobulin G1 monoclonal antibody employed for treating relapsed/refractory multiple myeloma and light-chain amyloidosis. Quantifying monoclonal antibodies in serum presents challenges due to interference from biological matrices. This research aimed to develop and verify an liquid chromatography tandem-mass spectrometry (LC-MS/MS) approach for quantifying serum daratumumab, employing immunoglobulin G purification without alkylation, and to assess its applicability in patients with multiple myeloma receiving intravenous daratumumab.

Lipidomics and spatial metabolomics reveal the heterogeneity in lipid distribution within pecan kernels.

Pecan (Carya illinoinensis) is a globally important nut crop, yet the processes of lipid biosynthesis and spatial lipid distribution within its embryo remain poorly understood. This study employed UHPLC-MS/MS and MALDI-MSI to profile lipids in developing pecan embryos, identifying 401 lipid molecules, including a high abundance of glycerolipids (148) and glycerophospholipids (144). Differential diacylglycerols showed gradual uptrends, highlighting their role in synthesizing glycerolipids and glycerophospholipids.

Cancer situation in China: an analysis based on the global epidemiological data released in 2024.

Background: Cancer remains a major cause of mortality and a significant economic burden in China. Exploring the disparities in cancer patterns and control strategies between China and developed countries may offer valuable insights for policy formulation and enhance cancer management efforts. This study examined the incidence, mortality, and disability-adjusted life year (DALY) burden of cancer in China, and compared these metrics with those observed in the United States (US) and the United Kingdom (UK).

Utility of quantitative whole-body autoradiography (QWBA) and oxidative combustion (OC) analysis in the assessment of tissue distribution of [14C]Mefuparib (CVL218) in SD and LE rats.

Background: In tissue distribution studies of radiopharmaceuticals, quantitative whole-body autoradiography (QWBA) and oxidative combustion (OC) analysis are the two important methods that have not been compared using the same drug. Sprague-Dawley (SD) and Long-Evans (LE) rats, both of which are commonly used rodents in tissue distribution studies, have also not been compared using the same drug. Comparative studies are important for aiding the selection of appropriate experimental methods and animals.

Nickel-Induced Dual Carbon Networks Encapsulating Phase Change Materials for Photothermal Conversion and Storage.

Bifunctional phase change materials (PCMs) with efficient energy storage and photothermal conversion capabilities have tremendous potential to be applied in advanced thermal management. However, classical organic PCMs with high latent heat are challenged by poor light harvesting, low thermal conductivity, and leakage risks. Here, we design a unique dual-carbon network with Ni nanoparticles (NPs), confined carbon nanotubes (CNTs) shuttling in carbon honeycombs (CH), namely, CH@Ni-CNTs, to encapsulate paraffin wax (PW) that can facilitate the light capture and photothermal conversion dynamics.

Electroactivated SERS Nanoplatform for Rapid and Sensitive Detection and Identification of Tumor-Derived Exosome miRNA.

Exosomal miRNA expression derived from tumor cells provides a valuable and promising noninvasive modality for the early diagnosis and assessment of the efficacy of cancer treatment. However, accurate detection and identification of miRNA within exosomes have been challenging due to its low abundance and the complexity and tedious extraction with large sample volumes in the separation process. Here, we developed an electrically activated nanoplatform for rapid and sensitive detection and identification of exosome miRNA, through triggering miRNA release by opening exosomes that were captured on the electrode surface using a slightly applied electric field (50 mV), and simultaneously detected them with surface-enhanced Raman spectroscopy (SERS) in situ.

Water-Mediated Surface Engineering Enhances High-Voltage Stability of Fast-Charge LiCoO Cathodes.

Maintaining the surface structure stability of LiCoO (LCO) during rapid charge-discharge processes (>5C) and under high-voltage conditions (>4.2 V) is challenging due to interfacial side reactions, cobalt dissolution, and oxygen redox activity at deeply delithiated states, all of which contribute to performance degradation. Herein, different from traditional surface coating methods, we report a water-mediated strategy that modifies the surface architecture of LCO, creating a passivating layer to inhibit surface degradation and enhance cycling stability under fast charging conditions.

Novel Deep Sea Isoindole Alkaloid FGFC1 Exhibits Its Fibrinolytic Effects by Inhibiting Thrombin-Activatable Fibrinolysis Inhibitor.

Background: The thrombin-activatable fibrinolysis inhibitor (TAFI) is an important regulator in the balance between blood clot formation (coagulation) and dissolution (fibrinolysis), which is mainly activated by thrombin bonded with thrombomodulin (TM).

Methods: In this study, the investigation focused on the unique target TAFI of fungi fibrinolytic compound 1 (FGFC1), a novel fibrinolytic compound sourced from the deep sea. In this sense, the regulation of TAFI by FGFC1, in comparison to established TAFI inhibitors such as DS-1040 and PCTI in hPPP, was investigated, which was validated through the molecular docking of FGFC1 to TAFI.

Multi-omics profiling reveals the molecular mechanism of Bifidobacterium animalis BB04 in co-culture with Wickerhamomyces anomalus Y-5 to induce bifidocin A synthesis.

Bacteriocin is a kind of natural substance that can effectively inhibit bacteria, but its production usually limited by environment. Co-culture is a strategy to stimulate bacteriocin production. Bifidocin A produced by Bifidobacterium animalis BB04, is a novel bacteriocin with a broad-spectrum antimicrobial active of foodborne bacteria.

Recombinant Plasminogen Activator of the Sandworm () Expression in .

As an essential thrombolytic agent, the tissue plasminogen activator receives increasing attention due to its longer half-life, lower immunogenicity, and easier administration, which are superior to other thrombolytic agents. In this study, the isolated and purified plasminogen activator from the sandworm () was expressed in . () to investigate its potential for simplifying the development process.

Nerolidol inhibits proliferation and triggers ROS-facilitated apoptosis in lung carcinoma cells via the suppression of MAPK/STAT3/NF-κB and P13K/AKT pathways.

Background: Lung cancer (LC) is the leading cause of malignancy-related mortalities globally, and the existing treatment interventions are associated with harmful side effects. In the current study, we evaluated the anti-tumor efficiency of nerolidol (NRD) on human non-small cell lung cancer (NSCLC) cells.

Objectives: Nerolidol is a sesquiterpene alcohol extracted from the essential oils of aromatic flora with known anti-cancer activities.