Soil salinization is a common environmental problem that seriously affects the yield and quality of crops. Sugar beet (Beta vulgaris L.), one main sugar crops in world, shows strong tolerance to salt stress. To decipher molecular mechanism under stress, we conducted transcriptomic analyses two contrasting genotypes. best our knowledge, this first comparison salt-response transcriptomes with Compared salt-sensitive cultivar (S710), salt-tolerant (T710MU) showed better growth exhibited higher...

The salinization and alkalization of soil are widespread environmental problems. Sugar beet (B. vulgaris L.) is a moderately salt tolerant glycophyte, but little known about the different mechanisms sugar response to alkaline stresses. aim this study was investigate influence neutral (NaCl:Na2SO4, 1:1) (Na2CO3) treatment on physiological transcriptome changes in beet. We found that low level (NaCl:Na2SO4; 1:1, Na+ 25 mM) or (Na2CO3, significantly enhanced total biomass, leaf area...

Abstract Alzheimer's disease (AD) constitutes a neurodegenerative disorder marked by progressive decline in cognitive function and memory capacity. The accurate diagnosis of this condition predominantly relies on cerebrospinal fluid (CSF) markers, notwithstanding the associated burdens pain substantial financial costs endured patients. This study encompasses subjects exhibiting varying degrees impairment, encompassing individuals with subjective decline, mild dementia, constituting total...

Abstract Background Neuropsychiatric symptoms (NPS) are common in mild cognitive impairment (MCI). However, knowledge is limited about the relationship of NPS, clinical factors, and cognition MCI. Methods A total 1099 dementia, 1323 MCI 377 cognitively normal (CN) were selected from Tongji Cohort Study Aging. All participants underwent comprehensive neuropsychological assessment. NPS evaluated by Inventory Questionnaire (NPI-Q). Logistic regression analyses conducted to investigate between...

Previous research has shown that rTMS improves visual working memory (VWM) performance in older people with subjective cognitive decline (SCD). However, the influence of stimulation parameters on effect is unclear. We focus total number stimulus pulses and aim to investigate whether 10 Hz different could have effects VWM SCD subjects. targeting left dorsolateral prefrontal cortex (DLPFC)was applied 34 subjects who completed both neuropsychological tests EEG for task. Different techniques...

Soil salinity is one of the major constraints affecting agricultural production and crop yield. A detailed understanding underlying physiological molecular mechanisms different genotypic salt tolerance response in crops under therefore a prerequisite for enhancing this tolerance. In study, we explored changes proteome profiles salt-sensitive (S210) salt-tolerant (T510) sugar beet cultivars to stress. T510 showed better growth status, higher antioxidant enzymes activities proline level, less...

The oscillatory patterns of electroencephalography (EEG), during resting states, are informative and helpful in understanding the functional states brain network their contribution to behavioral performances. aim this study is characterize alterations patients with amnestic mild cognitive impairment (aMCI). To end, rsEEG signals were recorded before after a task. Functional connectivity metrics calculated using debiased weighted phase lag index (DWPLI). Topological features analyzed both...

ABSTRACT Macrophages play critical roles in wound healing process. They switch from “classically activated” (M1) phenotype the early inflammatory phase to “alternatively (M2) later phase. However, dynamic process of macrophage switching diabetic wounds burdened with bacteria is unclear. In this report, Pseudomonas aeruginosa , frequently detected foot ulcers, was inoculated into cutaneous db/db mice mimic bacterium‐infected healing. We observed that P. infection impaired and quickly promoted...

Depression increases the risk of progression from mild cognitive impairment (MCI) to dementia, where impaired emotion regulation is a core symptom depression. However, neural mechanisms underlying decreased in individuals with MCI combined depressive symptoms are not precise. We assessed behavioral performance by tasks and recorded event-related electroencephalography (EEG) signals related simultaneously. EEG analysis, including potential (ERP), spectral perturbation (ERSP), functional...

Computer-aided detection, used in the screening and diagnosing of cognitive impairment, provides an objective, valid, convenient assessment. Particularly, digital sensor technology is a promising detection method.This study aimed to develop validate novel Trail Making Test (TMT) using combination paper electronic devices.This included community-dwelling older adult individuals (n=297), who were classified into (1) cognitively healthy controls (HC; n=100 participants), (2) participants...

This study aimed to investigate the clinical characteristics of perivascular space (PVS) and cerebral blood flow (CBF) in stroke-free patients with intracranial extracranial atherosclerosis different extents.Two hundred twenty-two received carotid artery ultrasonography, magnetic resonance imaging (MRI), cranial computed tomography angiography (CTA) perfusion (CTP). PVS was scored. The extents arteriosclerosis were evaluated based on scores arteriosclerosis. CTP done determine CBF region...

Late-onset depression (LOD) is often difficult to recognize when there an absence of a family history and less severe psychopathology. Increasing evidence has shown that the development course LOD symptomatology are associated with cerebrovascular comorbidities cerebral microvascular lesions. This study was designed evaluate associations macrovascular changes in brain by using multi-imaging method, including computed tomography angiography (CTA), CT perfusion (CTP), magnetic resonance...

Electroencephalographic (EEG) abnormalities are seen in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) characteristic features of impairment. The most common findings EEG AD MCI increased relative power slow oscillations (delta theta rhythms) decreased fast (alpha, beta gamma rhythms). However, impairments processes not sufficiently reflected by brain oscillatory activity a particular frequency band. at high risk progressing to AD. Cross-frequency coupling (CFC),...

Computer-aided detection of cognitive impairment garnered increasing attention, offering older adults in the community access to more objective, ecologically valid, and convenient assessments using multimodal sensing technology on digital devices. In this study, we aimed develop an automated method for screening impairment, building paper- electronic TMTs. We proposed a novel deep representation learning approach named Semi-Supervised Vector Quantised-Variational AutoEncoder (S2VQ-VAE)....

BACKGROUND This study aimed to investigate the correlation of brain perfusion with white matter hyperintensity (WMH), atrophy, and cognition in patients moderate severe posterior cerebral artery stenosis (PCAS). MATERIAL AND METHODS 65 memory decline as main complaint no history infarction were recruited from Department Neurology Tongji Hospital. Patients PCAS included case group, subjects normal intracranial blood vessels served controls. The demographics vascular risk factors recorded....

Visual working memory (VWM), the core process inherent to many advanced cognitive processes, deteriorates with age. Elderly individuals usually experience defects in processing of VWM. The dorsolateral prefrontal cortex is a key structure for top-down control processes. Many studies have shown that repeated transcranial magnetic stimulation (rTMS) improves VWM by modulating excitability neurons target cortical region, though underlying neural mechanism has not been clarified. Therefore, this...

This study aimed to characterize white matter lesions (WMLs) and regional cerebral perfusion, evaluate their correlations with cognitive deficits in Alzheimer's disease (AD) patients.One hundred twenty-eight patients AD (AD group) 75 subjects without (control were recruited. The medical information was collected from each subject. Montreal assessment (MoCA) employed for the of cognition. Cranial MRI performed, KIM scoring system used hyperintensity. CT perfusion (CTP) imaging assess whole...

Objective Alzheimer’s Disease (AD) is a progressive condition characterized by cognitive decline. AD often preceded mild impairment (MCI), though the diagnosis of both conditions remains challenge. Early AD, and prediction MCI progression require data-driven approaches to improve patient selection for treatment. We used machine learning tool predict performance in neuropsychological tests based on functional connectivity using whole-brain connectome, an attempt identify network substrates...

This study aimed to build the supervised learning model predict state of cognitive impairment, Alzheimer's Disease (AD) and domains including memory, language, action, visuospatial based on Digital Clock Drawing Test (dCDT) precisely.207 normal controls, 242 Mild Cognitive Impairment (MCI) patients, 87 dementia 53 AD were selected from Shanghai Tongji Hospital. The electromagnetic tablets used collect trajectory points dCDT. By combining dynamic process static results, different types...

Abstract Background Brain atrophy is an important feature in dementia and meaningful to explore a brain model predict dementia. Using machine learning algorithm establish cognitive function based on characteristics unstoppable. Method We acquired 157 156 normal old people.s clinical information MRI data, which contains 44 features, including visual scale assessment of multiple linear measurement indexes index. Five models were used prediction for dementia, general cognition, subcognitive...