Metagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early-Stage Nonsmoking Lung Adenocarcinoma Patients.

Background: The mycobiome in the tumor microenvironment of non-smokers with early-stage lung adenocarcinoma (ES-LUAD) has been minimally investigated.

Methods: In this study, we conducted ultra-deep metagenomic and transcriptomic sequencing on 128 samples collected from 46 nonsmoking ES-LUAD patients and 41 healthy controls (HC), aiming to characterize the tumor-resident mycobiome and its interactions with the host.

Results: The results revealed that ES-LUAD patients exhibited fungal dysbiosis characterized by reduced species diversity and significant imbalances in specific fungal abundances.

scMMAE: masked cross-attention network for single-cell multimodal omics fusion to enhance unimodal omics.

Multimodal omics provide deeper insight into the biological processes and cellular functions, especially transcriptomics and proteomics. Computational methods have been proposed for the integration of single-cell multimodal omics of transcriptomics and proteomics. However, existing methods primarily concentrate on the alignment of different omics, overlooking the unique information inherent in each omics type.

Prevalence of High-Risk CTA-Based Carotid Plaque-RADS Subtypes in Patients With Embolic Stroke of Undetermined Source.

Background: A modified computed tomography angiography (CTA)-based Carotid Plaque Reporting and Data System (Plaque-RADS) classification was applied to a cohort of patients with embolic stroke of undetermined source to test whether high-risk Plaque-RADS subtypes are more prevalent on the ipsilateral side of stroke. With the widespread use of CTA for stroke evaluation, a CTA-based Plaque-RADS would be valuable for generalizability.

Methods: A retrospective observational cross-sectional study was conducted at a single integrated health system comprised of 3 hospitals with a comprehensive stroke center between October 1, 2015, and April 1, 2017.

Innovative microbial activators for enhanced bioremediation of oil-contaminated soils: mechanistic insights.

This paper developed an efficient microbial activator formula and conducted an in-depth study on its efficacy and mechanism in promoting the degradation of petroleum hydrocarbons in oil-contaminated soil. A 60-day microbial remediation experiment conducted on oily soil revealed that the microbial activators significantly boosted the activities of dehydrogenase and catalase, subsequently speeding up the degradation of petroleum hydrocarbons in the soil. The overall degradation rate reached as high as 71.

Genetic predisposition to Behcet's disease mediated by a IL10RA enhancer polymorphism.

Background: Several studies suggested the genetic association between IL10RA variants and susceptibility to Behcet's disease (BD). However, the precise mechanism of the association is still unknown. The purpose of this study was to investigate the mechanism underlying the genetic associations between IL10RA polymorphisms and the risk of BD.