An integrative approach for imaging and quantitative analysis of gut microbiota growth using fluorescent D-amino acid labeling and fluorescence hybridization.

The profound influence of gut microbiota on human health has been well-recognized; however, substantial gaps remain in our understanding of the highly diverse and dynamic processes of microbial growth and activities in the gut. Conventional methods, which primarily rely on DNA sequencing, provide limited insights into these aspects. This paper presents a protocol that integrates fluorescent D-amino acid (FDAA) metabolic labeling with fluorescence hybridization (FISH) for imaging and quantitatively analyzing the growth of gut microbiota.

Gray Matter Volume Abnormalities in Schizophrenia: Comparisons Between P-Value and Effect Size Inference Frameworks Using Mega- and Meta-Analyses.

Background And Hypothesis: Identifying generalizable brain imaging markers from large multi-center datasets remains challenging due to varying statistical aggregation approaches and p-hacking with increasing big data. We hypothesized that effect size (ES) inference surpasses P-value-based inference in reliably identifying core brain damage of schizophrenia, regardless of whether Mega- or Meta-analyses are used.

Study Design: We examined voxel-wise inter-group differences in gray matter volume (GMV) based on individual data from 976 schizophrenia patients and 801 healthy controls across 16 datasets, along with published coordinates data from 103 studies involving 5151 patients and 5438 controls, using Mega-analysis (Mega), Image-Based Meta-analysis (IBMA), and Coordinate-Based Meta-analysis (CBMA) under P-value and ES inference frameworks, respectively.

Comparative Analysis of Growth Dynamics and Relative Abundances of Gut Microbiota Influenced by Ketogenic Diet.

Unlabelled: Although the compositional alterations of gut bacteria in ketogenic diet (KD) have been intensively investigated, the causal relationship between this extreme diet and the microbiota changes is not fully understood. Here, we studied the growth dynamics of intestinal bacteria in KD. We used the CoPTR method to calculate the peak-to-trough ratio (PTR) based on metagenomic sequencing data, serving as an indicator of bacterial growth rates.

Deciphering the Heterogeneity of Schizophrenia: A Multimodal and Multivariate Neuroimaging Framework for Unveiling Brain-Symptom Relationships and Underlying Subtypes.

Background And Hypothesis: Schizophrenia manifests large heterogeneities in either symptoms or brain abnormalities. However, the neurobiological basis of symptomatic diversity remains poorly understood. We hypothesized that schizophrenia's diverse symptoms arise from the interplay of structural and functional alterations across multiple brain regions, rather than isolated abnormalities in a single area.

Diagnostic value of CEACAM6 and HE4 in pleural fluid for malignant pleural effusion.

Objective: This study aimed to assess the diagnostic performance of carcinoembryonic antigen-related adhesion molecule 6 (CEACAM6) and human epididymis protein 4 (HE4) in pleural fluid for the detection of malignant pleural effusion (MPE).

Materials And Methods: In this prospective study, pleural levels of CEACAM6 and HE4 were measured in two independent cohorts. The test cohort included 182 patients with exudative pleural effusions (123 malignant and 59 benign), and the validation cohort comprised 117 patients with exudative pleural effusions (65 malignant and 52 benign).

Intravital imaging of translocated bacteria via fluorogenic labeling of gut microbiota in situ.

The translocation of bacteria from intestinal tracts into blood vessels and distal organs plays pivotal roles in the pathogenesis of numerous severe diseases. Intravital monitoring of bacterial translocation, however, is not yet feasible, which greatly hinders us from comprehending this spatially and temporally dynamic process. Here we report an in vivo fluorogenic labeling method, which enables in situ imaging of mouse gut microbiota and real-time tracking of the translocated bacteria.

Unusual MurC Ligase and Peptidoglycan Discovered in Lachnospiraceae Using a Fluorescent L-Amino Acid Based Selective Labeling Probe.

Developing selective labeling probes for specific bacterial taxa can not only facilitate the study of target bacteria but also deepen our understanding of the microbial diversity at structural and molecular levels. The availability of such probes, however, remains very limited. In this study, by exploiting the variation of amino acids in peptidoglycan stem peptide, we designed a fluorescent L-amino acid probe and found that it can selectively target the family Lachnospiraceae (a major Gram-positive family in murine gut microbiome) in vivo.

SAMPL-seq reveals micron-scale spatial hubs in the human gut microbiome.

The local arrangement of microbes can profoundly impact community assembly, function and stability. However, our understanding of the spatial organization of the human gut microbiome at the micron scale is limited. Here we describe a high-throughput and streamlined method called Split-And-pool Metagenomic Plot-sampling sequencing (SAMPL-seq) to capture spatial co-localization in a complex microbial consortium.

Revealing NOD1-Activating Gram-Positive Gut Microbiota via in Vivo Labeling with a meso-Diaminopimelic Acid Probe.

As an important receptor in a host's immune and metabolic systems, NOD1 is usually activated by Gram-negative bacteria having -diaminopimelic acid (-DAP) in their peptidoglycan (PGN). But some atypical Gram-positive bacteria also contain -DAP in their PGN, giving them the potential to activate NOD1. The prevalence of -DAP-type Gram-positive bacteria in the gut, however, remains largely unknown.

Visual and Quantitative Analysis of Dietary Fiber-Microbiota Interactions via Metabolic Labeling In Vivo.

Dietary fiber (DF)-based interventions are crucial in establishing a health-promoting gut microbiota. However, directly investigating DFs' in vivo interactions with intestinal bacteria remains challenging due to the lack of suitable tools. Here, we develop an in vivo metabolic labeling-based strategy, which enables not only imaging and identifying the bacteria that bind with specific DF in the intestines, but also quantifying DF's impact on their metabolic status.

Volumetric Integrated Classification Index: An Integrated Voxel-Based Morphometry and Machine Learning Interpretable Biomarker for Post-Traumatic Stress Disorder.

PTSD is a complex mental health condition triggered by individuals' traumatic experiences, with long-term and broad impacts on sufferers' psychological health and quality of life. Despite decades of research providing partial understanding of the pathobiological aspects of PTSD, precise neurobiological markers and imaging indicators remain challenging to pinpoint. This study employed VBM analysis and machine learning algorithms to investigate structural brain changes in PTSD patients.

Voxel-based texture similarity networks reveal individual variability and correlate with biological ontologies.

The human brain is organized as a complex, hierarchical network. However, the structural covariance patterns among brain regions and the underlying biological substrates of such covariance networks remain to be clarified. The present study proposed a novel individualized structural covariance network termed voxel-based texture similarity networks (vTSNs) based on 76 refined voxel-based textural features derived from structural magnetic resonance images.

Selective disrupted gray matter volume covariance of amygdala subregions in schizophrenia.

Objective: Although extensive structural and functional abnormalities have been reported in schizophrenia, the gray matter volume (GMV) covariance of the amygdala remain unknown. The amygdala contains several subregions with different connection patterns and functions, but it is unclear whether the GMV covariance of these subregions are selectively affected in schizophrenia.

Methods: To address this issue, we compared the GMV covariance of each amygdala subregion between 807 schizophrenia patients and 845 healthy controls from 11 centers.

Microalgae Octapeptide IIAVEAGC Alleviates Oxidative Stress and Neurotoxicity in 6-OHDA-Induced SH-SY5Y Cells by Regulating the Nrf2/HO-1and Jak2/Stat3 Pathways.

Neurodegenerative diseases are characterized by the progressive loss of selectively vulnerable populations of neurons, and many factors are involved in its causes. Neurotoxicity and oxidative stress, are the main related factors. The octapeptide Ile-Ile-Ala-Val-Glu-Ala-Gly-Cys (IEC) was identified from the microalgae Isochrysis zhanjiangensis and exhibited potential anti-oxidative stress activity.

Neuroprotection of Truncated Peptide IIAVE from : Quantum Chemical, Molecular Docking, and Bioactivity Studies.

Parkinson's disease (PD) is a progressive neurodegenerative disorder of the elderly for which there is no cure or disease-modifying therapy. Mitochondrial dysfunction and oxidative stress play a central role in dopaminergic neurodegeneration in PD. Therefore, antioxidants are considered a promising neuroprotective approach.

Individualized Texture Similarity Network in Schizophrenia.

Background: Structural covariance network disruption has been considered an important pathophysiological indicator for schizophrenia. Here, we introduced a novel individualized structural covariance network measure, referred to as a texture similarity network (TSN), and hypothesized that the TSN could reliably reveal unique intersubject heterogeneity and complex dysconnectivity patterns in schizophrenia.

Methods: The TSN was constructed by measuring the covariance of 180 three-dimensional voxelwise gray-level co-occurrence matrix feature maps between brain areas in each participant.

Spectrum-Weighted Fusion Cooperative Detection Algorithm Based on Double Thresholds for Underwater Acoustic Networks.

Spectrum-sensing technology is crucial for the development of underwater acoustic communication networks and plays a key role in detecting spectrum holes and channel occupancy. Energy detection technology, as the fundamental spectrum sensing technology in cognitive radio, has reached a mature level of development. Its application in hydroacoustic communications can significantly enhance the utilization of the hydroacoustic spectrum.

Activated carbon modified titanium dioxide/bismuth trioxide adsorbent: One-pot synthesis, high removal efficiency of organic pollutants, and good recyclability.

Considerable endeavors have focused on tightly combining adsorption with photocatalysis in designing composite materials for environmental pollution treatment. Recent advances in coupling titanium dioxide/bismuth trioxide (TiO/BiO) with activated carbon (AC) show significantly enhanced photocatalytic performance but face critical limitations including low adsorption capacity and multi-step synthesis. In this work, we introduce a one-pot synthesis of activated carbon modified TiO/BiO composite materials (TiO/BiO/AC).

Research Progress of Treatment Technology and Adsorption Materials for Removing Chromate in the Environment.

Cr is used extensively in industry, so the number of Cr (VI) hazards is increasing. The effective control and removal of Cr (VI) from the environment are becoming an increasing research priority. In order to provide a more comprehensive description of the research progress of chromate adsorption materials, this paper summarizes the articles describing chromate adsorption in the past five years.

Mechanisms of Antitumor Invasion and Metastasis of the Marine Fungal Derivative Epi-Aszonalenin A in HT1080 Cells.

Epi-aszonalenin A (EAA) is an alkaloid that is isolated and purified from the secondary metabolites of coral symbiotic fungi and has been shown to have good atherosclerotic intervention activity and anti-angiogenic activity in our previous studies. In the present study, antiangiogenic activity was used as a basis of an intensive study of its mechanism of action against tumor metastasis and invasion. Invasive metastatic pairs are a hallmark of malignancy, and the dissemination of tumor cells is the most dangerous process in the development of tumors.

Comparative and study of the stability and biological activity of an octapeptide from microalgae and its truncated short peptide.

In this study, the structural characteristics and active sites of the octapeptide (IIAVEAGC), the pentapeptide (IIAVE) and tripeptide (AGC) were studied and . The quantum mechanics results show that the pentapeptide has better structural features. In addition, the docking of three peptides with Keap1 was compared through molecular docking, indicating that the potential molecular mechanism may show antioxidant activity by occupying the Nrf2 binding site on Keap1.

Research Progress on Up-Conversion Fluorescence Probe for Detection of Perfluorooctanoic Acid in Water Treatment.

Perfluorooctanoic acid (PFOA) is a new type of organic pollutant in wastewater that is persistent, toxic, and accumulates in living organisms. The development of rapid and sensitive analytical methods to detect PFOA in environmental media is of great importance. Fluorescence detection has the advantages of high efficiency and low cost, in which fluorescent probes have excellent fluorescence properties, excellent bio-solubility, and remarkable photostability.

A Study on Doping and Compound of Zinc Oxide Photocatalysts.

As an excellent semiconductor photocatalyst, zinc oxide is widely used in the field of photocatalysis and is regarded as one of the most reliable materials to solve environmental problems. However, because its band gap energy limits the absorption of visible light and reduces the efficiency of catalytic degradation, it needs to be doped with other substances or compounded with other substances and precious metal. This paper summarizes the research on this aspect at home and abroad in recent years, introduces the doping of transition metal ions by zinc oxide, the compounding of zinc oxide with precious metals or other semiconductors, and the prospect of further improving the catalytic efficiency of zno photocatalyst is also put forward.