- Dementia and Cognitive Impairment Research
- Functional Brain Connectivity Studies
- Circular RNAs in diseases
- Alzheimer's disease research and treatments
- MicroRNA in disease regulation
- Tryptophan and brain disorders
- Stress Responses and Cortisol
- Transcranial Magnetic Stimulation Studies
- Advanced Neuroimaging Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- Neurological Disease Mechanisms and Treatments
- Neural dynamics and brain function
- Identification and Quantification in Food
- Nerve injury and regeneration
- Nuclear Receptors and Signaling
- Neuroscience and Neuropharmacology Research
- Acute Ischemic Stroke Management
- Mental Health Research Topics
- Gut microbiota and health
- Optical Imaging and Spectroscopy Techniques
- Cancer-related molecular mechanisms research
- Neural and Behavioral Psychology Studies
- Neuroinflammation and Neurodegeneration Mechanisms
- Botulinum Toxin and Related Neurological Disorders
- Cerebrovascular and genetic disorders
Wuxi People's Hospital
2022-2025
Nanjing Medical University
2022-2025
Zhongda Hospital Southeast University
2019-2024
Sichuan University
2020-2024
Southeast University
2020-2021
Southeast University
2017-2021
Xinxiang Medical University
2020
Zhejiang University
2020
Huazhong University of Science and Technology
2017
The halal food market is globally growing along with the increased risk of adulteration. We proposed an amplification-free and mix-to-read CRISPR-Cas12-based nucleic acid analytical strategy allowing rapid identification analysis pork components, thus enriching toolbox for ensuring authenticity. designed optimized guide RNA (gRNA) targeting cytochrome b (Cyt b) gene. gRNA allowed specific target Cyt gene from components followed by activation Cas12 protein to abundantly cleave...
Background: Parkinson’s disease (PD) is a neurodegenerative commonly seen in the elderly. On other hand, cuprotosis new copper-dependent type of cell death that can be observed various diseases. Methods: This study aimed to identify potential novel biomarkers by biomarker analysis and explore immune infiltration during onset cuprotosis. Gene expression profiles were retrieved from GEO database for GSE8397, GSE7621, GSE20163, GSE20186 datasets. Three machine learning algorithms: least...
Backgroundcircular RNAs (circRNAs) are expressed abundantly in the brain and implicated pathophysiology of neuropsychiatric disease. However, potential clinical value circRNAs major depressive disorder (MDD) remains unclear.MethodsRNA sequencing was conducted whole-blood samples a discovery set (7 highly homogeneous MDD patients 7 matched healthy controls [HCs]). The differential expression verified an independent validation set. interventional study to assess effect antidepressive treatment...
Diagnosis of major depressive disorder (MDD) using resting-state functional connectivity (rs-FC) data faces many challenges, such as the high dimensionality, small samples, and individual difference. To assess clinical value rs-FC in MDD identify potential machine learning (ML) model for individualized diagnosis MDD, based on data, a progressive three-step ML analysis was performed, including six different algorithms two dimension reduction methods, to investigate classification performance...
Objective Anxiety is one of the most common psychiatric symptoms Parkinson’s disease (PD), and brain iron deposition considered to be pathological mechanisms PD. The objective this study was explore alterations in PD patients with anxiety compared without anxiety, especially fear circuit. Methods Sixteen 23 26 healthy elderly controls were enrolled prospectively. All subjects underwent neuropsychological assessments magnetic resonance imaging (MRI) examinations. Voxel-based morphometry (VBM)...
The objective of the study was to explore potential value plasma indicators for identifying amnesic mild cognitive impairment (aMCI) and determine whether levels are related performance function brain tissue volumes. In total, 155 participants (68 aMCI patients 87 health controls) were recruited in present cross-sectional study. amyloid-β (Aβ) 40, Aβ42, total tau (t-tau), neurofilament light (NFL) measured using an ultrasensitive quantitative method. Machine learning algorithms performed...
As the pathogenesis of cerebral small vessel disease with cognitive impairment (CSVD-CI) remains unclear, identifying effective biomarkers can contribute to clinical management CSVD-CI. This study recruited 54 healthy controls (HCs), 60 CSVD-CI patients, and 57 CSVD cognitively normal (CSVD-CN) patients. All participants underwent neuropsychological assessments multimodal magnetic resonance imaging. Macrophage migration inhibitory factors (MIFs) were assessed in plasma. The least absolute...
Emerging evidence suggests that dysfunction of the visual cortex may be involved in major depressive disorder (MDD). However, underlying mechanisms remain unclear. We previously established combined magnetic stimulation system treatment (c-MSST) resulted an antidepressant effect mice. In present study, we found V1-targeted c-MSST induced significant effects chronic unpredictable mild stress (CUMS)- and lipopolysaccharide (LPS)-treated Proteomic screening investigation repeatable validation...
Background Cerebral small vessel disease (CSVD) is a cluster of microvascular disorders with unclear pathological mechanisms. The microbiota-gut-brain axis an essential regulatory mechanism between gut microbes and their host. Therefore, the compositional functional microbiota alterations lead to cerebrovascular pathogenesis. current study aims determine alteration clinical value in CSVD patients. Methods Sixty-four patients 18 matched healthy controls (HCs) were included our study. All...
The presence of viable pathogenic bacteria in food can lead to serious foodborne diseases, thus posing a risk human health. Here, we develop digital rolling circle amplification (dRCA) assay that enables the precise and sensitive quantification bacteria. Directly targeting RNAs via ligation-based padlock probe allows for precisely discriminating from dead one. one-target-one-amplicon characteristic dRCA high sensitivity broad quantitative detection range, conferring limit 10 CFU/mL dynamic...
Background Non-valvular atrial fibrillation (NVAF) is the most common cause of cardiogenic cerebral embolism (CCE). However, underlying mechanism between and NVAF indefinite, there no effective convenient biomarker to identify potential risk CCE in patients with clinic. The present study aims factors for interpreting association providing valuable biomarkers predict patients. Methods 641 diagnosed 284 without any history stroke were recruited study. Clinical data including demographic...
No acceptable biomarker can facilitate the early identification of cognitive impairment associated with cerebral small vessel disease (CSVD) in older persons. The neutrophil extracellular traps (NETs) inflammation response circulatory and central systems are essential destroying blood-brain barrier. present study aims to explore potential associations plasma NETs performance CSVD. We recruited 146 CSVD patients 66 healthy controls (HCs), comprehensive neuropsychological assessments...
// Zhilan Chen 1, * , Yachen Shi 2, Shixuan Wang 3 and Qiping Lu 4 1 Department of Obstetrics Gynecology, Wuhan General Hospital Guangzhou Military Command, Wuhan, Hubei, China 2 School Public Health, Tongji Medical College, Huazhong University Science Technology, Hospital, Surgery, Co-authors Correspondence to: Wang, email: sxwang2012@hotmail.com Lu, 13871160000@163.com Keywords: cervical cancer, early response, survival, neoadjuvant chemotherapy, meta-analysis Received: November 11, 2016...
Background Reliable and individualized biomarkers are crucial for identifying early cognitive impairment in subcortical small-vessel disease (SSVD) patients. Personalized brain age prediction can effectively reflect impairment. Thus, the present study aimed to investigate association of with function SSVD patients assess potential value clinical assessment SSVD. Materials methods A model using relevance vector regression algorithm was developed 35 healthy controls. Subsequently, tested 51...