Improving prognostic evaluations in patients with stage IIIb light chain cardiac amyloidosis: role of haemodynamic parameters.

Background: There is no unified prognostic scoring system for light chain cardiac amyloidosis (AL-CA), particularly stage IIIb AL-CA. This study aimed to use invasive haemodynamic information to investigate markers that can more accurately evaluate the prognosis of patients with stage IIIb AL-CA.

Methods: In this retrospective cohort study, we conducted invasive haemodynamic measurements concurrently with myocardial biopsies to diagnose AL-CA.

[Radiotherapy Combined with Immunotherapy and Chemotherapy Improves Prognosis and Demonstrates Synergistic Effects in Extensive-stage Small Cell Lung Cancer].

Background: Extensive-stage small cell lung cancer (ES-SCLC) is a malignant tumor with remarkable proliferative and invasive ability, which has very poor clinical prognosis due to lack of effective treatments. This study aims to evaluate the efficacy and synergistic effects of radiotherapy (RT) combined with immunotherapy (IT) and chemotherapy (CT) in patients with ES-SCLC.

Methods: A retrospective analysis was performed on 145 ES-SCLC patients treated with first-line CT.

[Stuck acupuncture combined with facial acupuncture for 22 cases of facial cosmetology].

Objective: To observe the clinical efficacy of tuck acupuncture combined with facial acupuncture for facial cosmetology.

Methods: A total of 22 female patients with symptoms of facial aging were treated with tuck acupuncture combined with facial acupuncture. Stuck acupuncture was applied at bilateral Taiyang (EX-HN5) through Xiaguan (ST7), Jiache (ST6) through Daying (ST5) and Yingxiang (LI20)，once a week.

Advances in Clustering and Classification of Tic Disorders: A Systematic Review.

Purpose: Tic disorders (TD) are common neurodevelopmental disorders characterized by heterogeneous tic symptoms in children, making diagnostic classification difficult. This complexity requires accurate subtyping using data-driven computational methods to identify patterns within clinical data. This systematic review primarily summarizes the current evidence for the classification of TD using a data-driven approach.

A near-infrared multifunctional fluorescent bio-probe with large stokes shift and high quantum yield for effective determination of heavy metal lead and pesticide glyphosate in vitro and vivo.

Heavy metal contamination and pesticide residues pose significant threats to human health and ecosystems. Despite its broad applications, fluorescence imaging technology often struggles in complex ecological and biological environments due to disadvantages of background autofluorescence and low quantum yield. This study introduced a near-infrared (NIR) multifunctional "off-on-off" isophorone-based fluorescent bio-probe, DHB, characterized by a high fluorescence quantum yield (10.

Generation of vascularized pancreatic progenitors through co-differentiation of endoderm and mesoderm from human pluripotent stem cells.

Background: The simultaneous differentiation of human pluripotent stem cells (hPSCs) into both endodermal and mesodermal lineages is crucial for developing complex, vascularized tissues, yet poses significant challenges. This study explores a method for co-differentiation of mesoderm and endoderm, and their subsequent differentiation into pancreatic progenitors (PP) with endothelial cells (EC).

Methods: Two hPSC lines were utilized.

MLLT3 Regulates Melanoma Stemness and Progression by Inhibiting HMGB1 Nuclear Entry and MAGEA1 MC Modification.

Melanoma stem cells are a kind of cells with self-renewal and multi-directional differentiation potential. They are one of the key factors in the occurrence, development and metastasis of melanoma. This study demonstrates that MLLT3 is a transcription factor that regulates the stemness and progression of melanoma.

Systematic evaluation of methylation-based cell type deconvolution methods for plasma cell-free DNA.

Background: Plasma cell-free DNA (cfDNA) is derived from cellular death in various tissues. Investigating the tissue origin of cfDNA through cell type deconvolution, we can detect changes in tissue homeostasis that occur during disease progression or in response to treatment. Consequently, cfDNA has emerged as a valuable noninvasive biomarker for disease detection and treatment monitoring.

A genus-specific R2R3 MYB transcription factor, CsMYB34, regulates galloylated catechin biosynthesis in Camellia sinensis.

Galloylated catechins are the dominant polyphenols in Camellia sinensis (L.) O. Kuntze.

Dissecting gene expression heterogeneity: generalized Pearson correlation squares and the -lines clustering algorithm.

Motivated by the pressing needs for dissecting heterogeneous relationships in gene expression data, here we generalize the squared Pearson correlation to capture a mixture of linear dependences between two real-valued variables, with or without an index variable that specifies the line memberships. We construct the generalized Pearson correlation squares by focusing on three aspects: variable exchangeability, no parametric model assumptions, and inference of population-level parameters. To compute the generalized Pearson correlation square from a sample without a line-membership specification, we develop a -lines clustering algorithm to find clusters that exhibit distinct linear dependences, where can be chosen in a data-adaptive way.

Functional analysis of yak alveolar type II epithelial cells at high and low altitudes based on single-cell sequencing.

The adaptation of lung cells to high-altitude environments represents a notable gap in our understanding of how animals cope with hypoxic conditions. Alveolar epithelial cells type II (AEC II) are crucial for lung development and repair. However, their, specific role in the adaptation of yaks to high-altitude environments remains unclear.

Self-Cross-Linked Collagen Sponge from the Scale for Hemostasis and Wound Healing Applications.

Type I collagen, a crucial component maintaining the structural integrity and physiological function of various tissues, is widely regarded as one of the most suitable biomaterials for healthcare applications. In this study, shad scales, used for treating ulcers, scalds, and burns in traditional Chinese medicine, were exploited for type I collagen extraction. After self-assembly into hydrogels, the extracted collagen was subsequently freeze-dried to form collagen sponges.

Dental resin for periodontal and tooth root regeneration via metformin to enhance osteogenic and cementogenic differentiation of human periodontal ligament stem cells.

Objectives: This study developed a novel dental resin incorporating metformin to repair root caries and periodontitis defects. The objectives were to: (1) Develop a novel dental resin with metformin release to fulfill the clinical requirements for mechanical properties; and (2) investigate the metformin release pattern and the effects on osteogenic and cementogenic differentiation of human periodontal ligament stem cells (hPDLSCs).

Methods: Resin specimens with different concentrations of metformin were fabricated.

Deep learning-based segmentation of acute ischemic stroke MRI lesions and recurrence prediction within 1 year after discharge: A multicenter study.

Objective: To explore the performance of deep learning-based segmentation of infarcted lesions in the brain magnetic resonance imaging (MRI) of patients with acute ischemic stroke (AIS) and the recurrence prediction value of radiomics within 1 year after discharge as well as to develop a model incorporating radiomics features and clinical factors to accurately predict AIS recurrence.

Materials And Methods: To generate a segmentation model of MRI lesions in AIS, the deep learning algorithm multiscale residual attention UNet (MRA-UNet) was employed. Furthermore, the risk factors for AIS recurrence within 1 year were explored using logistic regression (LR) analysis.

CRISPR-Cas9-based genome-editing technologies in engineering bacteria for the production of plant-derived terpenoids.

Terpenoids are widely used as medicines, flavors, and biofuels. However, the use of these natural products is largely restricted by their low abundance in native plants. Fortunately, heterologous biosynthesis of terpenoids in microorganisms offers an alternative and sustainable approach for efficient production.

Association between serum uric acid and prediabetes in a normal Chinese population: A cross-sectional study.

Cardiovascular events are frequent among individuals with prediabetes. And the relationship between cardiovascular diseases and elevated serum uric acid (SUA) levels has been supported by extensive scientific evidence. However, there remains controversy regarding the correlation between elevated SUA and prediabetes.

Combination of DMDD with Nanoparticles Effective Against Diabetic Kidney Disease in vitro.

Purpose: 2-Dodecyl-6-methoxy-2,5-diene-1,4-cyclohexanedione (DMDD), isolated from . root, has demonstrated the potential to reduce blood sugar levels. However, DMDD has poor solubility and bioavailability.

Wnt signaling aberrant activation drives ameloblastoma invasion and recurrence: bioinformatics and in vitro insights.

Objective: This study aims to explore the regulatory mechanisms of Wnt signaling in the invasion and recurrence of ameloblastoma (AM) to provide a new theoretical basis for its treatment.

Methods: Bulk RNA sequencing was employed to analyze samples from AM patients, and identify differentially expressed genes. Subsequently, bioinformatics methods such as Weighted Gene Co-Expression Network Analysis (WGCNA), DESeq2, and KEGG enrichment analysis were utilized to construct gene co-expression networks and identify pathways associated with invasion and recurrence.

Multi-omics analysis deciphers intercellular communication regulating oxidative stress to promote oral squamous cell carcinoma progression.

Oral squamous cell carcinoma (OSCC) is a common malignant tumor in the head and neck, associated with high recurrence and poor prognosis. We performed an integrated analysis of single-cell RNA and spatial transcriptomic data from cancerous and normal tissues to create a comprehensive atlas of epithelial cells and cancer-associated fibroblasts (CAFs). Our findings show that AKR1C3 epithelial cells, located at the tumor's stromal front, exhibit significant copy number variation and poor prognostic indicators, suggesting a role in tumor invasion.

Integrated molecular and functional characterization of the intrinsic apoptotic machinery identifies therapeutic vulnerabilities in glioma.

Genomic profiling often fails to predict therapeutic outcomes in cancer. This failure is, in part, due to a myriad of genetic alterations and the plasticity of cancer signaling networks. Functional profiling, which ascertains signaling dynamics, is an alternative method to anticipate drug responses.

Epigenetic modifications involving ncRNAs in digestive system cancers: focus on histone modification.

In recent years, epigenetic modifications have been strongly linked to tumor development, with histone modifications representing a key epigenetic mechanism. In addition, non-coding RNAs (ncRNAs) play a critical role in regulating cancer-related pathways. The abnormal interaction between histone modifications and ncRNAs, both pivotal epigenetic regulators, has been widely observed across various cancer types.

Soil community history strengthens belowground multitrophic functioning across plant diversity levels in a grassland experiment.

Biodiversity experiments revealed that plant diversity loss can decrease ecosystem functions across trophic levels. To address why such biodiversity-function relationships strengthen over time, we established experimental mesocosms replicating a gradient in plant species richness across treatments of shared versus non-shared history of (1) the plant community and (2) the soil fauna community. After 4 months, we assessed the multitrophic functioning of soil fauna via biomass stocks and energy fluxes across the food webs.

Research on information leakage in time series prediction based on empirical mode decomposition.

Time series analysis predicts the future based on existing historical data and has a wide range of applications in finance, economics, meteorology, biology, engineering, and other fields. Although the combination of decomposition techniques and machine learning algorithms can effectively solve the problem of predicting nonstationary sequences, this kind of decomposition-integration-prediction strategy of the prediction method has serious defects. After the decomposition of the division of the training set and the test set, the information of the test set in the process of decomposition of the information leakage ultimately shows a high accuracy of the prediction of the illusionary.