Risk perception of COVID-19 and its related factors among centralized medical isolation groups in China.

Objective: Medical isolation is one of the most effective measures to slow the spread of the virus when dealing with a pandemic. Millions of people in China have undergone centralized medical isolation (CMI) during the COVID-19 pandemic. This study aims to assess the centralized medical isolation group's COVID-19 risk perception and to explore the influencing factors. Methods: A total of 400 participants (200 who had experienced CMI and 200 who had not experienced) completed a questionnaire related to COVID-19 risk perceptions. The questionnaire was designed with the Cognitive-Experiential Self-Theory (CEST) and the Common Sense Model of Risk Perception (CSM). It adopted nine questions to measure risk perception in terms of Emotional feelings, Cognitive judgment, and Mental representation of unusual severity. Descriptive statistical analysis, correlation analysis, and multiple linear regression analysis were conducted with SPSS 26.0 software. Results: The mean risk perception score for the CMI group was 30.75, with a standard deviation of 7.503, which was significantly higher than that in the non-centralized medical isolation (NCMI) group (risk perception score was 28.2, and the standard deviation was 7.129). The results show that risk perceptions were higher for older age, risk perceptions were higher for higher education, risk perceptions were higher for those who had received the COVID-19 vaccination, and risk perceptions were higher for those who lived in a family with children. Conclusion: Risk perception is significantly higher in CMI groups than in NCMI groups. The government should draw more care to the risk perception and psychological wellbeing of the CMI group and provide extra support and assistance to the elderly and those raising younger children. In dealing with future pandemics like the COVID-19 outbreak, the government should actively guide the public to properly isolate at home and cautiously implement a CMI policy.

CEST MRI and MALDI imaging reveal metabolic alterations in the cervical lymph nodes of EAE mice.

BACKGROUND: Multiple sclerosis (MS) is a neurodegenerative disease, wherein aberrant immune cells target myelin-ensheathed nerves. Conventional magnetic resonance imaging (MRI) can be performed to monitor damage to the central nervous system that results from previous inflammation; however, these imaging biomarkers are not necessarily indicative of active, progressive stages of the disease. The immune cells responsible for MS are first activated and sensitized to myelin in lymph nodes (LNs). Here, we present a new strategy for monitoring active disease activity in MS, chemical exchange saturation transfer (CEST) MRI of LNs. METHODS AND RESULTS: We studied the potential utility of conventional (T2-weighted) and CEST MRI to monitor changes in these LNs during disease progression in an experimental autoimmune encephalomyelitis (EAE) model. We found CEST signal changes corresponded temporally with disease activity. CEST signals at the 3.2 ppm frequency during the active stage of EAE correlated significantly with the cellular (flow cytometry) and metabolic (mass spectrometry imaging) composition of the LNs, as well as immune cell infiltration into brain and spinal cord tissue. Correlating primary metabolites as identified by matrix-assisted laser desorption/ionization (MALDI) imaging included alanine, lactate, leucine, malate, and phenylalanine. CONCLUSIONS: Taken together, we demonstrate the utility of CEST MRI signal changes in superficial cervical LNs as a complementary imaging biomarker for monitoring disease activity in MS. CEST MRI biomarkers corresponded to disease activity, correlated with immune activation (surface markers, antigen-stimulated proliferation), and correlated with LN metabolite levels.

Magnetization Transfer to Enhance NOE Cross-Peaks among Labile Protons: Applications to Imino-Imino Sequential Walks in SARS-CoV-2-Derived RNAs.

2D NOESY plays a central role in structural NMR spectroscopy. We have recently discussed methods that rely on solvent-driven exchanges to enhance NOE correlations between exchangeable and non-exchangeable protons in nucleic acids. Such methods, however, fail when trying to establish connectivities within pools of labile protons. This study introduces an alternative that also enhances NOEs between such labile sites, based on encoding a priori selected peaks by selective saturations. The resulting selective magnetization transfer (SMT) experiment proves particularly useful for enhancing the imino-imino cross-peaks in RNAs, which is a first step in the NMR resolution of these structures. The origins of these enhancements are discussed, and their potential is demonstrated on RNA fragments derived from the genome of SARS-CoV-2, recorded with better sensitivity and an order of magnitude faster than conventional 2D counterparts.

Magnetization Transfer to Enhance NOE Cross-Peaks among Labile Protons: Applications to Imino-Imino Sequential Walks in SARS-CoV-2-Derived RNAs.

2D NOESY plays a central role in structural NMR spectroscopy. We have recently discussed methods that rely on solvent-driven exchanges to enhance NOE correlations between exchangeable and non-exchangeable protons in nucleic acids. Such methods, however, fail when trying to establish connectivities within pools of labile protons. This study introduces an alternative that also enhances NOEs between such labile sites, based on encoding a priori selected peaks by selective saturations. The resulting selective magnetization transfer (SMT) experiment proves particularly useful for enhancing the imino-imino cross-peaks in RNAs, which is a first step in the NMR resolution of these structures. The origins of these enhancements are discussed, and their potential is demonstrated on RNA fragments derived from the genome of SARS-CoV-2, recorded with better sensitivity and an order of magnitude faster than conventional 2D counterparts.