Publications by authors named "Yongbin Wei"

Macroscale functional gradient techniques provide a continuous coordinate system that extends from unimodal regions to transmodal higher-order networks. However, the alterations of these functional gradients in AD and their correlations with cognitive terms and gene expression profiles remain to be established. In the present study, we directly studied the functional gradients with functional MRI data from seven scanners.

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  • The study examines how brain networks change with aging and neurodegenerative diseases, using MRI data from over 7,300 participants to identify unique patterns related to conditions like Alzheimer's disease (AD).
  • Gene analysis revealed that normal aging involves significant transport of inorganic ions, while different neurodegenerative diseases share a focus on chemical synaptic transmission.
  • Findings highlight that each disorder presents specific neurophysiological issues, helping to clarify the biological mechanisms behind AD compared to normal aging and other disorders.
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  • In frontotemporal lobar degeneration (FTLD), abnormal protein buildup in the brain correlates with declines in social-emotional and language skills, primarily involving TDP-43 or tau proteins.
  • The study investigates how degeneration patterns in FTLD relate to gene expression of recently evolved genetic regions, using neuroimaging and transcriptomic data to examine targeted brain areas.
  • Results indicate that FTLD subtypes uniquely or overlappingly affect brain regions tied to genes evolved in humans, with a notable relationship between TDP-43 function impairment and cryptic splicing in affected genes.
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Background: Schizophrenia is a polygenic disorder associated with changes in brain structure and function. Integrating macroscale brain features with microscale genetic data may provide a more complete overview of the disease etiology and may serve as potential diagnostic markers for schizophrenia.

Objective: We aim to systematically evaluate the impact of multi-scale neuroimaging and transcriptomic data fusion in schizophrenia classification models.

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  • Frontotemporal lobar degeneration (FTLD) is a disease that affects how people think and communicate, causing issues in emotions and language.
  • Researchers studied brain regions affected by FTLD to see if they are linked to special human genes that have changed through evolution.
  • They found that certain genes related to brain functions are targeted by different types of FTLD, suggesting that this disease hits parts of the brain that have recently evolved to help humans.
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Background: Alzheimer's disease (AD) is a prevalent neurodegenerative disorder that poses a worldwide public health challenge. A neuroimaging biomarker would significantly improve early diagnosis and intervention, ultimately enhancing the quality of life for affected individuals and reducing the burden on healthcare systems.

Methods: Cross-sectional and longitudinal data (10,099 participants with 13,380 scans) from 12 independent datasets were used in the present study (this study was performed between September 1, 2021 and February 15, 2023).

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Infections caused by Enterobacterales producing New Delhi Metallo-β-lactamases (NDMs), Zn(II)-dependent enzymes hydrolyzing carbapenems, are difficult to treat. Depriving Zn(II) to inactivate NDMs is an effective solution to reverse carbapenems resistance in NDMs-producing bacteria. However, specific Zn(II) deprivation and better bacterial outer membrane penetrability in vivo are challenges.

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Alzheimer's disease (AD) is one of the most prevalent forms of dementia in older individuals. Convergent evidence suggests structural connectome abnormalities in specific brain regions are linked to AD progression. The biological basis underpinnings of these connectome changes, however, have remained elusive.

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Clinical treatment of multidrug resistant (MDR) pathogens-induced infection is emerging as a growing challenge in global public health due to the limited selection of clinically available antibiotics. Nanozymes as artificial enzymes that mimicked natural enzyme-like activities, are received great attention for combating MDR pathogens. However, the relatively deficient catalytic activity in the infectious microenvironment and inability to precisely targeting pathogen restrains their clinical anti-MDR applications.

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Background: Inflammation has been implicated in the pathology of schizophrenia and may cause neuronal cell death and dendrite loss. Neuroimaging studies have highlighted longitudinal brain structural changes in patients with schizophrenia, yet it is unclear whether this is related to inflammation. We aim to address this question, by relating brain structural changes with the transcriptional profile of inflammation markers in the early stage of schizophrenia.

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  • Fossil endocasts provide insights into ancient brain features like size, shape, and structure, informing studies on brain function and development.
  • Interdisciplinary methods, including neuroimaging and genetic models, enhance the understanding of extinct species' brains and their related behaviors.
  • Sharing digital resources and databases fosters collaboration, enabling faster discoveries in paleoneurology, benefiting both biomedical and ecological research.
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Background: Psychiatric conditions show overlap in their symptoms, genetics, and involvement in brain areas and circuits. Structural alterations in the brain have been found to run in parallel with expression profiles of risk genes at the level of the brain transcriptome, which may point toward a potential transdiagnostic vulnerability of the brain to disease processes.

Methods: We characterized the transcriptomic vulnerability of the cortex across 4 major psychiatric disorders based on collated data from patients with psychiatric disorders (n = 390) and matched control participants (n = 293).

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Alzheimer's disease (AD) is a common neurodegeneration disease associated with substantial disruptions in the brain network. However, most studies investigated static resting-state functional connections, while the alteration of dynamic functional connectivity in AD remains largely unknown. This study used group independent component analysis and the sliding-window method to estimate the subject-specific dynamic connectivity states in 1704 individuals from three data sets.

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  • This study examines the heritability of functional connectivity within resting-state networks (RSNs) in the brain, which is crucial for cognitive functions. !* -
  • Researchers conducted genome-wide association studies to explore the genetic links between structural (RSN-SC) and functional connectivity (RSN-FC), finding specific genes related to the visual network's structure. !* -
  • The results indicate that genetic variations primarily affect functional connectivity, with limited overlap in structural aspects, enhancing our understanding of how genetics influences brain organization and its implications for brain disorders. !*
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  • Schizophrenia (SCZ) and bipolar disorder (BD) are severe mental health disorders that share similar symptoms and genetic backgrounds, and may have overlapping effects on brain connectivity.
  • The study analyzed data from nearly 20,000 healthy individuals to examine how genetic risks for SCZ and BD affect brain connectivity using advanced imaging techniques and genome-wide association studies.
  • Results indicated significant links between specific brain regions and genetic risks for both disorders, identifying multiple genomic loci associated with brain circuits relevant to SCZ and BD, supporting the idea that these genetic factors influence brain structure even in healthy individuals.
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Background: Alzheimer's disease (AD) is a neurodegenerative disease associated with widespread disruptions in intrinsic local specialization and global integration in the functional system of the brain. These changes in integration may further disrupt the global signal (GS) distribution, which might represent the local relative contribution to global activity in functional magnetic resonance imaging (fMRI).

Methods: fMRI scans from a discovery dataset (n = 809) and a validated dataset (n = 542) were used in the analysis.

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Bacterial genotyping is important for understanding the complex microbiota. Although fluorescence in situ hybridization (FISH) has enabled bacterial community identification with high spatial resolution, its unavoidable cell fixation steps and signal generation by multi-probe stacking greatly limit its application in living bacterial genotyping. Here, we designed polyethyleneimine-encapsulated CRISPR/Cas12a-circular reporter nanoprobes (CasCLR) for rapid and sensitive visualization of gene information in living bacteria.

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Pathogenic bacterial infections are the second highest cause of death worldwide and bring severe challenges to public healthcare. Antibiotic resistance makes it urgent to explore new antibacterial therapy. As an essential metal element in both humans and bacteria, zinc ions have various physiological and biochemical functions.

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Background: Alzheimer's disease (AD) is one of the most common neurodegenerative disorders in the elderly. Although numerous structural magnetic resonance imaging (sMRI) studies have reported diagnostic models that could distinguish AD from normal controls (NCs) with 80-95% accuracy, limited efforts have been made regarding the clinically practical computer-aided diagnosis (CAD) system for AD.

Objective: To explore the potential factors that hinder the clinical translation of the AD-related diagnostic models based on sMRI.

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Despite the promise of tumor starvation therapies, they are often associated with nonspecific and incomplete energy blockade. Here, a novel paradigm of starvation therapy is proposed to synergize the "Zn interference"-mediated glycolysis inhibition and Zn -activating GLUT1 (Glucose transporter 1) tumor specific depletion for systematic energy exhaustion. It is discovered that ZIF-8 (zinc imidazolate metal-organic frameworks ) can induce abrupt intracellular Zn elevation preferentially in melanoma cells, and then achieve effective glycolysis blockade through "Zn interference"-triggered decrease of NAD and inactivation of GAPDH, making it a powerful tumor energy nanoinhibitor.

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Multiscale integration of gene transcriptomic and neuroimaging data is becoming a widely used approach for exploring the molecular underpinnings of large-scale brain organization in health and disease. Proper statistical evaluation of determined associations between imaging-based phenotypic and transcriptomic data is key in these explorations, in particular to establish whether observed associations exceed "chance level" of random, nonspecific effects. Recent approaches have shown the importance of statistical models that can correct for spatial autocorrelation effects in the data to avoid inflation of reported statistics.

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It has been revealed that intersubject variability (ISV) in intrinsic functional connectivity (FC) is associated with a wide variety of cognitive and behavioral performances. However, the underlying organizational principle of ISV in FC and its related gene transcriptional profiles remain unclear. Using resting-state fMRI data from the Human Connectome Project (299 adult participants) and microarray gene expression data from the Allen Human Brain Atlas, we conducted a transcription-neuroimaging association study to investigate the spatial configurations of ISV in intrinsic FC and their associations with spatial gene transcriptional profiles.

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