Exploring the mediating role of the plasma lipidome in the pathway from the gut microbiota to dementia: a Mendelian randomization study.

Introduction: Previous studies have indicated a potential association between the gut microbiota (GM) and dementia; however, the exact cause-and-effect relationships between GM, various types of dementia, and the potential influence of the plasma lipidome as intermediaries are still unclear.

Material And Methods: We used genome-wide association study (GWAS) data to identify GM taxa, plasma lipid species (lipidome), and five types of dementia: Alzheimer's disease (AD), dementia with Lewy bodies (DLB), Parkinson's disease dementia (PDD), frontotemporal dementia (FTD) and vascular dementia (VD). We used Mendelian randomization (MR) to investigate the possible causal connections among the GM, plasma lipidome, and dementias.

Isolation and characterization of Polaribacter sargassicola sp. nov. and Algibacter ulvanivorans sp. nov.: two novel species with ability to degrade algal polysaccharides.

The genera Polaribacter and Algibacter, which are members of the Bacteroidota family Flavobacteriaceae, are well known for their arsenal of carbohydrate-active enzymes (CAZymes) and specialized polysaccharide utilization loci (PULs). In this study, two aerobic, gram-negative, and rod-shaped bacterial strains, designated strains DS7-9 and PT7-4, were isolated from the surface of seaweed collected from the coastal zone of Fujian Province, China. The two strains exhibited broad tolerance ranges to salinity (0-4%), temperature (10-40 °C) and pH (5.

-Based Bioformulation to Control Wilt of Caused by .

In recent years, there has been extensive documentation of pathogenic fungi infecting . However, investigations of microorganisms with antagonistic properties against these pathogens are limited. This study successfully isolated two isolates of the genus (F16 and F19) from the rhizosphere soil of fruiting bodies, both of which exhibit potent antagonistic activity against , the causative agent of wilt disease.

Quantification of Tryptophan Enantiomers in a Single Cell by β-Cyclodextrin-Modified Carbon Nanopipettes.

Tryptophan levels in the human body are closely related to disease development and metabolic processes, but identification and quantification of tryptophan enantiomers at the single-cell level is still very challenging now. Herein, the mono-(6-ethanediamine-6-deoxy)-β-cyclodextrin (β-CD)-modified carbon nanopipet (CNP) was fabricated, and high-enantioselective electrochemical detection of tryptophan was achieved. Interestingly, the selectivity of the prepared CNP toward l-tryptophan (l-Trp) and d-Tryptophan (d-Trp) could be modulated by adjusting the solution pH.

Deep Learning Model for Real-Time Nuchal Translucency Assessment at Prenatal US.

Purpose To develop and evaluate an artificial intelligence-based model for real-time nuchal translucency (NT) plane identification and measurement in prenatal US assessments. Materials and Methods In this retrospective multicenter study conducted from January 2022 to October 2023, the Automated Identification and Measurement of NT (AIM-NT) model was developed and evaluated using internal and external datasets. NT plane assessment, including identification of the NT plane and measurement of NT thickness, was independently conducted by AIM-NT and experienced radiologists, with the results subsequently audited by radiology specialists and accuracy compared between groups.

High-Purity Single-Photon Emission in Near-Infrared InAs Colloidal Quantum Dots with Strong Exciton Confinement.

Colloidal quantum dots (QDs) are promising solid-state single-photon emitters for quantum information processing due to their facile integration with nanophotonic components and cost-effective production. However, research on near-infrared QDs-based single-photon emitters for telecommunications remains limited. Here, we present bright near-infrared InAs/InP/ZnSe/ZnS QDs that achieve high-purity single-photon emission through strong exciton confinement within the core.

Exploring the mediating role of cerebrospinal fluid metabolites in the pathway from circulating inflammatory proteins to multiple sclerosis: A Mendelian randomization study.

Background: Multiple sclerosis (MS) is an autoimmune disease in which inflammation plays a pivotal role in its pathogenesis. The inflammatory response is regulated by a complex network of cells and mediators, including circulating proteins such as cytokines and inflammatory mediators. Metabolomics is a powerful analytical approach that may provide diagnostic and therapeutic targets for MS.

Effectiveness and clinical impact of using deep learning for first-trimester fetal ultrasound image quality auditing.

Background: Regular auditing of ultrasound images is required to maintain quality; however, manual auditing is time-consuming and can be inconsistent. We therefore aimed to develop and validate an artificial intelligence-based image quality audit (AI-IQA) system to audit images from the four key planes used in first-trimester scanning.

Methods: The AI-IQA system was developed based on the YOLOv7 structure detection network and a multi-branch image quality regression network using a large multicenter internal dataset.

Lipoprotein(a) levels and cardiovascular mortality risk in Chinese patients undergoing hemodialysis.

Purpose: Lipoprotein(a) (Lp(a)) is recognized as an independent risk factor for cardiovascular disease (CVD) in the general population. However, its impact on CVD mortality among Chinese patients undergoing maintenance hemodialysis (MHD) has not been fully established. This study aimed to evaluate the association between Lp(a) levels and both CVD mortality and all-cause mortality in this population.

Preoperative localization of parathyroid glands in secondary hyperparathyroidism: correlations between 99mTc-MIBI-SPECT/CT, ultrasound, and pathological characteristics.

Objective: To investigate the association between imaging findings and histopathological characteristics of parathyroid glands in patients with secondary hyperparathyroidism (SHPT).

Methods: Seventy-four glands from 21 patients with SHPT who underwent parathyroidectomy were evaluated for their pathological characteristics. The detection rates of parathyroid glands using ultrasound (US) and 99Tc-MIBI-SPECT/CT (MIBI) were compared.

Development and validation of an interpretable machine learning model for predicting in-hospital mortality for ischemic stroke patients in ICU.

Background: Timely and accurate outcome prediction is essential for clinical decision-making for ischemic stroke patients in the intensive care unit (ICU). However, the interpretation and translation of predictive models into clinical applications are equally crucial. This study aims to develop an interpretable machine learning (IML) model that effectively predicts in-hospital mortality for ischemic stroke patients.

Efficient and stable near-infrared InAs quantum dot light-emitting diodes.

Visible quantum dot light-emitting diodes have satisfied commercial display requirements. However, near-infrared counterparts considerably lag behind due to the inferior quality of near-infrared quantum dots and limitations in device architecture suitable for near-infrared electroluminescence. Here, we present an efficient strategy using zinc fluoride to balance ZnSe shell growth across different core quantum dot facets, producing highly regular InAs/InP/ZnSe/ZnS quantum dots with near-unity quantum yield.

Impact of salinity gradients on nitric oxide emissions and functional microbes in estuarine wetland sediments.

Estuarine wetland sediments are hotspots for nitrogen cycling and critical sources of atmospheric nitric oxide (NO). Yet studies on the impact of sediment salinity gradients on NO emissions and associated functional microbes at the land-ocean interface remain limited. Here, we measured sediment NO emission rates from incubated sediment samples that were collected from an estuarine wetland in Qingdao, China.

Analysis of key lncRNA related to Parkinson's disease based on gene co-expression weight networks.

Objectives: To identify a key Long chain non-coding RNAs (lncRNAs) related to PD and provide a new perspective on the role of LncRNAs in Parkinson's disease (PD) pathophysiology.

Methods: Our study involved analyzing gene chips from the substantia nigra and white blood cells, both normal and PD-inclusive, in the Gene Expression Omnibus (GEO) database, utilizing a weighted gene co-expression network analysis (WGCNA). The technique of WGCNA facilitated the examination of differentially expressed genes (DEGs) in the substantia nigra and the white blood cells of individuals with PD.

Nitrogen oxides emissions from coastal wetland sediments: Experimental assessment of the influence of vegetation and nitrogen input.

Nitrogen oxides (NO = NO + NO) have essential impacts on global climate and the environment, making it essential to study the contribution of wetland-generated NO to environmental problems. With exogenous nitrogen input from anthropogenic activities, wetland sediments become active emission hotspots for NO. In this study, we conducted field experiments in a typical salt marsh wetland to measure nitric oxide (NO, the primary component of NO from sediments) exchange fluxes in both mudflat and vegetated sediments.

Emission of CO and its related carbonate system dynamics in a hotspot area during winter and summer: The Changjiang River estuary.

The carbonate chemistry in river-dominated marginal seas is highly heterogeneous, and there is ongoing debate regarding the definition of atmospheric CO source or sink. On this basis, we investigated the carbonate chemistry and air-sea CO fluxes in a hotspot estuarine area: the Changjiang Estuary during winter and summer. The spatial characteristics of the carbonate system were influenced by water mixing of three end-members in winter, including the Changjiang freshwater with low total alkalinity (TA) concentration, the less saline Yellow Sea Surface Water with high TA, and the saline East China Sea (ECS) offshore water with moderate TA.

The associations between peripheral inflammatory and lipid parameters, white matter hyperintensity, and cognitive function in patients with non-disabling ischemic cerebrovascular events.

Background: The global prevalence of VCI has increased steadily in recent years, but diagnostic biomarkers for VCI in patients with non-disabling ischemic cerebrovascular incidents (NICE) remain indefinite. The primary objective of this research was to investigate the relationship between peripheral serological markers, white matter damage, and cognitive function in individuals with NICE.

Methods: We collected clinical data, demographic information, and medical history from 257 patients with NICE.

Ultrafast synthesis of efficient TS-PtCoCu/CNTs composite with high feed-to-product conversion rate by Joule heating for electrocatalytic oxidation of ethanol.

Due to the challenges involved in achieving high metal load, uniform metal dispersion and nanosized metal particles simultaneously, it is difficult to develop a simple protocol for the rapid and efficient synthesis of Pt-based composites for electrocatalytic ethanol oxidation reaction (EOR). In this study, a facile ultrafast thermal shock strategy via Joule heating was applied to fabricate a series of PtCoCu ternary nanoalloys decorated carbon nanotube composites (TS-PtCoCu/CNTs), without the need for a reducing agent or surfactant. The TS-PtCoCu/CNTs with optimal Pt content (∼15 %) exhibited excellent EOR activity, with mass and specific activity of 3.

Driving force of tidal pulses on denitrifiers-dominated nitrogen oxide emissions from intertidal wetland sediments.

Intertidal wetland sediments are an important source of atmospheric nitrogen oxides (NO), but their contribution to the global NO budget remains unclear. In this work, we conducted year-round and diurnal observations in the intertidal wetland of Jiaozhou Bay to explore their regional source-sink patterns and influence factors on NO emissions (initially in the form of nitric oxide) and used a dynamic soil reactor to further extend the mechanisms underlying the tidal pulse of nitric oxide (NO) observed in our investigations. The annual fluxes of NO in the vegetated wetland were significantly higher than those in the wetland without vegetation.

Tidal effects on carbon dioxide emission dynamics in intertidal wetland sediments.

Understanding the control mechanisms of carbon dioxide (CO) emissions in intertidal wetland sediments is beneficial for the concern of global carbon biogeochemistry and climate change. Nevertheless, multiple controls on CO emissions from intertidal wetland sediments to the atmosphere still need to be clarified. This study investigated the effect of tidal action on CO emissions from salt marsh sediments covered by Spartina alterniflora in the Jiaozhou Bay wetland using the static chamber method combined with an infrared CO detector.

Lower 25-hydroxyvitamin D is associated with severer white matter hyperintensity and cognitive function in patients with non-disabling ischemic cerebrovascular events.

Objectives: This study aimed to investigate the potential correlations among serum 25-hydroxyvitamin D [25(OH)D] levels, white matter hyperintensity (WMH) and cognitive function in patients with non-disabling ischemic cerebrovascular events (NICE).

Methods: This was a prospective investigation of 160 NICE patients with age of 40 years or older. Cognitive function was evaluated by the Montreal Cognitive Assessment (MoCA).

Emissions of Nitric Oxide from Photochemical and Microbial Processes in Coastal Waters of the Yellow and East China Seas.

Nitric oxide (NO) is an atmospheric pollutant and climate forcer as well as a key intermediary in the marine nitrogen cycle, but the ocean's NO contribution and production mechanisms remain unclear. Here, high-resolution NO observations were conducted simultaneously in the surface ocean and the lower atmosphere of the Yellow Sea and the East China Sea; moreover, NO production from photolysis and microbial processes was analyzed. The NO sea-air exchange showed uneven distributions (RSD = 349.

Correlations among peripheral blood markers, white matter hyperintensity, and cognitive function in patients with non-disabling ischemic cerebrovascular events.

Background: Both inflammation and cerebral white matter injury are closely associated with vascular cognitive impairment (VCI). The aim of this study was to analyze the correlation between peripheral serological markers, white matter injury, and cognitive function in patients with non-disabling ischemic cerebrovascular events (NICE); to identify potential biological markers for the diagnosis and prediction of VCI; and to provide a basis for the early diagnosis and intervention of VCI.

Methods: We collected clinical data, along with demographic and medical history data, from 151 NICE patients.

Enlarged perivascular spaces are linked to freezing of gait in Parkinson's disease.

Objective: Freezing of gait (FOG) is one of common and disabling gait impairments of Parkinson's disease (PD). White matter hyperintensity (WMH) and lacunes, as common manifestations of cerebral small vessel diseases (CSVD), have been reported to be associated with gait function in PD patients. However, in the cases with FOG which present with extensive WMH or lacunes, it actually is difficult to distinguish pure PD pathology from vascular origin or combined effects.