Molecular basis for polyol-induced protein stability revealed by molecular dynamics simulations.

Molecular dynamics simulations of chymotrypsin inhibitor 2 in different polyols (glycerol, xylitol, sorbitol, trehalose, and sucrose) at 363 K were performed to probe the molecular basis of the stabilizing effect, and the data in water, ethanol, and glycol were compared. It is found that protein protection by polyols is positively correlated with both the molecular volume and the fractional polar surface area, and the former contributes more significantly to the protein's stability. Polyol molecules have only a few direct hydrogen bonds with the protein, and the number of hydrogen bonds between a polyol and the protein is similar for different polyols. Thus, it is concluded that the direct interactions contribute little to the stabilizing effect. It is clarified that the preferential exclusion of the polyols is the origin of their protective effects, and it increases with increasing polyol size. Namely, there is preferential hydration on the protein surface (2 A), and polyol molecules cluster around the protein at a distance of about 4 A. The preferential exclusion of polyols leads to indirect interactions that prevent the protein from thermal unfolding. The water structure becomes more ordered with increasing the polyol size. So, the entropy of water in the first hydration shell decreases, and a larger extent of decrease is observed with increasing polyol size, leading to larger transfer free energy. The findings suggest that polyols protect the protein from thermal unfolding via indirect interactions. The work has thus elucidated the molecular mechanism of structural stability of the protein in polyol solutions.

Increased circulating level of interleukin-6 and CD8+ T cell exhaustion are associated with progression of COVID-19.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is pandemic. It is critical to identify COVID-19 patients who are most likely to develop a severe disease. This study was designed to determine the clinical and epidemiological features of COVID-19 patients associated with the development of pneumonia and factors associated with disease progression. METHODS: Seventy consecutive patients with etiologically confirmed COVID-19 admitted to PLA General Hospital in Beijing, China from December 27, 2019 to March 12, 2020 were enrolled in this study and followed-up to March 16, 2020. Differences in clinical and laboratory findings between COVID-19 patients with pneumonia and those without were determined by the χ2 test or the Fisher exact test (categorical variables) and independent group t test or Mann-Whitney U test (continuous variables). The Cox proportional hazard model and Generalized Estimating Equations were applied to evaluate factors that predicted the progression of COVID-19. RESULTS: The mean incubation was 8.67 (95% confidence interval, 6.78-10.56) days. Mean duration from the first test severe acute respiratory syndrome coronavirus 2-positive to conversion was 11.38 (9.86-12.90) days. Compared to pneumonia-free patients, pneumonia patients were 16.5 years older and had higher frequencies of having hypertension, fever, and cough and higher circulating levels of neutrophil proportion, interleukin-6, low count (< 190/µl) of CD8+ T cells, and neutrophil/lymphocyte ratio. Thirteen patients deteriorated during hospitalization. Cox regression analysis indicated that older age and higher serum levels of interleukin-6, C-reactive protein, procalcitonin, and lactate at admission significantly predicted the progression of COVID-19. During hospitalization, circulating counts of T lymphocytes, CD4+ T cells, and CD8+ T cells were lower, whereas neutrophil proportion, neutrophil/lymphocyte ratio, and the circulating levels of interleukin-6, C-reactive protein, and procalcitonin were higher, in pneumonia patients than in pneumonia-free patients. CD8+ lymphocyte count in pneumonia patients did not recover when discharged. CONCLUSIONS: Older age and higher levels of C-reactive protein, procalcitionin, interleukin-6, and lactate might predict COVID-19 progression. T lymphocyte, especially CD8+ cell-mediated immunity is critical in recovery of COVID-19. This study may help in predicting disease progression and designing immunotherapy for COVID-19.

Molecular insight into the inhibition effect of trehalose on the nucleation and elongation of amyloid beta-peptide oligomers.

Soluble amyloid oligomers are a cytotoxic species in Alzheimer's disease, and the recent discovery that trehalose can prohibit aggregation of amyloid beta-peptide (Abeta) has received great attention. However, its inhibition mechanism remains unclear. In order to investigate the molecular mechanism of the inhibition effect, molecular dynamics simulations of Abeta(16-22) and Abeta(40) peptides at different trehalose concentrations (0-0.18 mol/L) are performed using an all-atom model. The simulations confirmed that Abeta(16-22) aggregation is prevented by trehalose in a dose-dependent manner, and it is found that the preferential exclusion effect of trehalose is the origin of its inhibition effects. Namely, there is preferential hydration on the peptide surface (3 A), and trehalose molecules cluster around the peptides at a distance of 4-5 A. At high trehalose concentrations, the preferential exclusion of trehalose leads to three sequential effects that prevent the nucleation and elongation of Abeta(16-22) oligomers. First, the secondary structures of Abeta(16-22) monomers are stabilized in the turn, bend, or coil, so the beta-sheet-rich structure that is prone to forming peptide oligomers is prevented. Second, the thin hydration layer and trehalose clusters can weaken hydrophobic interactions that lead to Abeta(16-22) aggregation. Third, more direct and indirect H-bonds form between trehalose and Abeta(16-22), which suppress the interpeptide hydrogen bonding. Analyses of the simulation data for a single Abeta(40) peptide indicate that trehalose can inhibit the nucleation and elongation of Abeta(40) by a similar mechanism with that on Abeta(16-22) oligomerization. The work has thus elucidated the molecular mechanism of trehalose on the inhibition of Abeta oligomeric aggregation.

Improved power for characterizing longitudinal amyloid-ß PET changes and evaluating amyloid-modifying treatments with a cerebral white matter reference region.

UNLABELLED: In this article, we describe an image analysis strategy with improved power for tracking longitudinal amyloid-ß (Aß) PET changes and evaluating Aß-modifying treatments. METHODS: Our aims were to compare the power of template-based cerebellar, pontine, and cerebral white matter reference regions to track 24-mo florbetapir standardized uptake value (SUV) ratio (SUVR) changes; to relate those changes to 24-mo clinical declines; and to evaluate Aß-modifying treatments in Aß-positive (Aß+) and Aß-negative (Aß-) patients with probable Alzheimer dementia (pAD), in patients with mild cognitive impairment (MCI), in cognitively normal controls (NCs), and in cognitively normal apolipoprotein E4 (APOE4) carriers and noncarriers. We used baseline and follow-up (∼24 mo) florbetapir PET scans from 332 Aß+ and Aß- subjects participating in the multicenter Alzheimer's Disease Neuroimaging Initiative. Each of the proposed analyses included 31 pAD patients, 187 MCI patients, and 114 NCs. Cerebral-to-white matter, cerebellar, and pontine SUVRs were characterized in terms of their longitudinal variability; their power to track longitudinal fibrillar Aß increases in Aß+ and Aß- subgroups and cognitively normal APOE4 carriers and noncarriers; the sample sizes needed to detect attenuated accumulation of or clearance of fibrillar Aß accumulation in randomized clinical trials; and their ability to relate 24-mo fibrillar Aß increases to clinical declines. RESULTS: As predicted, cerebral-to-white matter SUVR changes were significantly less variable and had significantly greater power to detect 24-mo fibrillar Aß increases and evaluate Aß-modifying treatment effects in Aß+ pAD, MCI, and NC subjects and cognitively normal APOE4 carriers. They were also distinguished by the ability to detect significant associations between 24-mo Aß increases and clinical declines. CONCLUSION: A cerebral white matter reference region may improve the power to track longitudinal fibrillar Aß increases, to characterize their relationship to longitudinal clinical declines, and to evaluate Aß-modifying treatments in randomized clinical trials.

New ionic liquid-based preparative method for diosgenin from Rhizoma dioscoreae nipponicae.

BACKGROUND: Rhizoma dioscoreae nipponicae is a perennial herb and its roots have been widely used in Traditional Chinese Medicine (TCM). OBJECTIVE: To develop and optimize the extraction and hydrolysis technology of diosgenin from Rhizoma dioscoreae nipponicae. MATERIALS AND METHODS: 1-methyl-3-(3-sulfopropyl)-imidazolium hydrogen sulfate ([PSMIM]HSO4), as a kind of functional ionic liquid, replaced inorganic acid, and was used in a one-step ultrasonic extraction and hydrolysis for the preparation of diosgenin (the aglycone of dioscin and an important precursor chemical in the pharmaceutical industry) from Rhizoma dioscoreae nipponicae, for the first time. The effects of various factors were evaluated. The obtained product was studied using high performance liquid chromatography (HPLC). RESULTS: About 6.35 mg of diosgenin could be obtained from 2.0 g of raw material. Reusability and recycling of the ionic liquid were validated with fairly good results. The ionic liquid solution was reused four times, and the final extraction efficiency only decreased by 5%. CONCLUSION: In virtue of the obvious advantages of the green extraction and catalytic solvent, with further study, it is believed that this new one-step preparative method promises to replace the traditional methods.