Parthenolide (PTN), a selective nuclear factor kappa B (NF-κB) inhibitor, has been used extensively to inhibit NF-κB activation. The duration of the inhibitory effect of PTN on NF-κB in vivo remains unclear. This study was to determine whether a lipopolysaccharide (LPS) challenge 6, 12 and 24 h after the administration of PTN could activate NF-κB. Rats were devided into five groups. The rats in the PTN, PTN+LPS and DMSO groups were injected intraperitoneally with PTN or DMSO. After 6, 12 or 24 h, LPS was administered in LPS and PTN+LPS groups. The expressions of NF-κB p50, IκBα and p-IκBα were inhibited in both PTN and PTN+LPS group at end of 6 and 12 h and no effects at 24 h. In summary, myocardial NF-κB expression occurs 1 h after the administration of LPS. PTN blocks this effect given at 6 h and no inhibitory effect 24 h after administration in vivo.

This study was designed to use real-time imaging to test the hypothesis that delayed cardiac protection induced by volatile anesthetics inhibits apoptosis. Rats were divided into two groups. One group was exposed to 120 min of 33 % O2 [control group (CON group)] and the other group was exposed to 2.5 % sevoflurane in 33 % O2 for 120 min [sevoflurane group (SEVO group)]. Both groups were allowed to return to their cages for 24 h. After 24 h recovery, all rats underwent 30 min myocardial ischemia by occluding coronary artery followed by 2 h of reperfusion. After reperfusion, technetium-99m-labeled annexin-V was administered intravenously to identify apoptosis. Left ventricular samples were obtained to measure infarct size and radionuclide imaging and caspase-3. Radionuclide imaging indicated that apoptosis was reduced in SEVO group (0.78 % ± 0.82) when compared with the CON group (1.15 % ± 0.61), and the infarct size was also decreased in the SEVO group (40 % ± 7). The transferase dUTP nick end labeling (TUNEL)-positive cardiomyocytes in the SEVO group (16 % ± 6) were significantly decreased in the peri-infarct zone when compared with the CON group (28 % ± 4). After reperfusion, caspase-3 expression was significantly blunted in the SEVO group than in CON group (50 % ± 11 vs. 68 % ± 10, p < 0.05). This study used technetium-99m-labeled annexin-V of real-time imaging to detect cardiomyocyte apoptosis and the results were confirmed by the TUNEL assay and caspase-3 expression. We concluded that delayed volatile anesthetic preconditioning (APC) protects against I/R in vivo. The method of technetium-99m-labeled annexin-V of real-time imaging can be used to detect cardiomyocyte apoptosis in delayed APC during ischemia/reperfusion.

Purpose

Delayed volatile anesthetic preconditioning (APC) can protect against myocardial ischemia/reperfusion (I/R) injury; the delayed phase is called the second window of protection (SWOP), but the underlying mechanism is unclear. Nuclear factor-κB (NF-κB) is involved in the myocardial protection conferred by APC in the acute phase; autophagy has been reported to confer apoptosis inhibition and infarction reduction. We hypothesized that APC initiates delayed cardioprotection against I/R injury via the activation of NF-kB and upregulation of autophagy, thus attenuating the inflammatory response and apoptosis

Methods

After a rat I/R model was set up, left ventricular samples were obtained before I/R to assess NF-κB-DNA binding activity and microtubule-associated protein 1 light chain 3 (LC3) and cathepsin B protein expression, and to examine autophagosomes with a transmission electron microscope. Infarct size and the expressions of tumor necrosis factor α (TNF-α), interleukin 1β (IL-1β), and caspase-3 were measured at the end of 2-h reperfusion.

Results

The infarct size was significantly reduced in the SWOP group (30 ± 3 %) when compared with that in the I/R group (47 ± 7 %, P < 0.05), and this finding was associated with increased NF-κB-DNA binding activity and autophagosomes. In addition, the expressions of LC3-II and cathepsin B were also up-regulated, and the expressions of TNF-α, IL-1β, and caspase-3 were attenuated in the SWOP group when compared with the findings in the I/R group. However, this protection was abolished by the administration of parthenolide (PTN) before sevoflurane inhalation, which resulted in an infarct size that was significantly increased (47 ± 5 %, P < 0.05 PTN + SWOP vs. SWOP group).

Conclusion

Delayed APC protected the rat heart from I/R injury. The underlying mechanisms may include NF-κB activation, upregulation of autophagy, and the attenuation of TNF-α, IL-1β, and caspase-3 expressions.

Background and objective

Anaesthetic preconditioning (APC) protects against myocardial ischaemia/reperfusion injury. Nuclear factor-kappaB (NF-kappaB) has been implicated in APC-induced myocardial protection in vitro. Our study tested the hypothesis that in-vivo APC with sevoflurane is triggered by NF-kappaB through downregulation of inflammatory mediators and upregulation of antiapoptosis factors to prevent myocardial injury during ischaemia/reperfusion.

Methods

In this in-vivo study, rats were anaesthetized and maintained with sodium pentobarbital throughout the experiment. Rats were exposed to 30 min of 2.5% sevoflurane followed by 15 min washout (APC group) or no inhalation anaesthetics (ischaemia/reperfusion group) before ischaemia/reperfusion. In the sevoflurane group, rats were exposed to 30 min sevoflurane followed by a 165 min washout period. The NF-kappaB inhibitor parthenolide (PTN) was used before or after exposure to sevoflurane (PTN+APC group and APC+PTN group). Left ventricular samples were obtained to measure infarct size, pro-inflammation and apoptosis. A P value less than 0.05 was considered significant.

Results

APC reduced infarct size (34 +/- 6%) compared with ischaemia/reperfusion (53 +/- 6%, P<0.05). PTN administered before or after APC abolished the cardioprotection (53 +/- 5 and 52 +/- 7%, respectively, P < 0.05). APC decreased the myocardium apoptosis compared with the ischaemia/reperfusion only group (6 +/- 1 vs.19 +/- 3%, P < 0.05); PTN administered before or after sevoflurane preconditioning abolished this effect. APC induced upregulation of NF-kappaB p50/p65 before ischaemia (51 +/- 4/26 +/- 3% vs. 15 +/- 1/11 +/- 1% in the control group, P < 0.05). After reperfusion, NF-kappaB was upregulated in the ischaemia/reperfusion and APC groups, but it was lower in the APC group than in the ischaemia/reperfusion group. PTN administered before and after APC inhibited the expressions. Before ischaemia, Bcl-2 was increased in the APC and sevoflurane groups (94 +/- 3 and 102 +/- 4%, respectively) compared with the control group (68 +/- 2%, P < 0.05). After reperfusion, intercellular adhesion molecule-1, tumour necrosis factor-alpha and caspase-3 expressions were significantly increased in the ischaemia/reperfusion group (92 +/- 5, 115 +/- 4 and 65 +/- 2% compared with the control group, P < 0.05); these increases were blunted in the APC group.

Conclusion

APC with sevoflurane produced myocardial protection against ischaemia/reperfusion in vivo. NF-kappaB acted not only as a trigger but also as a mediator that played an important role in APC through upregulation of NF-kappaB and the antiapoptosis protein Bcl-2 during the preconditioning period and then through downregulation of the inflammatory proteins intercellular adhesion molecule-1 and tumour necrosis factor-alpha during reperfusion, ultimately decreasing caspase-3 expression and apoptosis.

We report herein the preparation, characterization, and catalytic performance of a series of heterogeneous catalysts featuring highly dispersed zinc sites on zeolitic SSZ-13 and ZSM-5 frameworks. The materials are evaluated in the CO2-assisted oxidative ethane dehydrogenation, a very important reaction for the synthesis of platform chemicals. In particular, we find that Zn2.92/SSZ-13 exhibits high reactivity in the conversion of C2H6 and CO2 and high ethene selectivity. In line with the experimental results, we show that the selective character of the catalyst is due to the characteristic compositional structure of the support and its topology that can effectively confine CO2 molecules. An in-depth molecular analysis via operando studies and DFT calculations shows that the rate-limiting step of the reaction with CO2 is the second C-H bond dissociation to give C2H4. The addition of CO2 effectively reduces the energy barrier of this step, favoring desorption of C2H4 while limiting byproduct formation. Overall, this work demonstrates the breakthrough potential of catalysts made of highly dispersed zinc species on zeolites in relevant transformations.

Background

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused one of the worst pandemics in recent history. Few reports have revealed that SARS-CoV-2 was spreading in the United States as early as the end of January. In this study, we aimed to determine if SARS-CoV-2 had been circulating in the Los Angeles (LA) area at a time when access to diagnostic testing for coronavirus disease 2019 (COVID-19) was severely limited.

Methods

We used a pooling strategy to look for SARS-CoV-2 in remnant respiratory samples submitted for regular respiratory pathogen testing from symptomatic patients from November 2019 to early March 2020. We then performed sequencing on the positive samples.

Results

We detected SARS-CoV-2 in 7 specimens from 6 patients, dating back to mid-January. The earliest positive patient, with a sample collected on January 13, 2020 had no relevant travel history but did have a sibling with similar symptoms. Sequencing of these SARS-CoV-2 genomes revealed that the virus was introduced into the LA area from both domestic and international sources as early as January.

Conclusions

We present strong evidence of community spread of SARS-CoV-2 in the LA area well before widespread diagnostic testing was being performed in early 2020. These genomic data demonstrate that SARS-CoV-2 was being introduced into Los Angeles County from both international and domestic sources in January 2020.

Studies of posttraumatic stress disorder (PTSD) report volume abnormalities in multiple regions of the cerebral cortex. However, findings for many regions, particularly regions outside commonly studied emotion-related prefrontal, insular, and limbic regions, are inconsistent and tentative. Also, few studies address the possibility that PTSD abnormalities may be confounded by comorbid depression. A mega-analysis investigating all cortical regions in a large sample of PTSD and control subjects can potentially provide new insight into these issues. Given this perspective, our group aggregated regional volumes data of 68 cortical regions across both hemispheres from 1379 PTSD patients to 2192 controls without PTSD after data were processed by 32 international laboratories using ENIGMA standardized procedures. We examined whether regional cortical volumes were different in PTSD vs. controls, were associated with posttraumatic stress symptom (PTSS) severity, or were affected by comorbid depression. Volumes of left and right lateral orbitofrontal gyri (LOFG), left superior temporal gyrus, and right insular, lingual and superior parietal gyri were significantly smaller, on average, in PTSD patients than controls (standardized coefficients = -0.111 to -0.068, FDR corrected P values < 0.039) and were significantly negatively correlated with PTSS severity. After adjusting for depression symptoms, the PTSD findings in left and right LOFG remained significant. These findings indicate that cortical volumes in PTSD patients are smaller in prefrontal regulatory regions, as well as in broader emotion and sensory processing cortical regions.

After its emergence in Wuhan, China, in late November or early December 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus rapidly spread globally. Genome sequencing of SARS-CoV-2 allows the reconstruction of its transmission history, although this is contingent on sampling. We analyzed 453 SARS-CoV-2 genomes collected between 20 February and 15 March 2020 from infected patients in Washington state in the United States. We find that most SARS-CoV-2 infections sampled during this time derive from a single introduction in late January or early February 2020, which subsequently spread locally before active community surveillance was implemented.

Results of neuroimaging datasets aggregated from multiple sites may be biased by site-specific profiles in participants' demographic and clinical characteristics, as well as MRI acquisition protocols and scanning platforms. We compared the impact of four different harmonization methods on results obtained from analyses of cortical thickness data: (1) linear mixed-effects model (LME) that models site-specific random intercepts (LME_INT), (2) LME that models both site-specific random intercepts and age-related random slopes (LME_INT+SLP), (3) ComBat, and (4) ComBat with a generalized additive model (ComBat-GAM). Our test case for comparing harmonization methods was cortical thickness data aggregated from 29 sites, which included 1,340 cases with posttraumatic stress disorder (PTSD) (6.2-81.8 years old) and 2,057 trauma-exposed controls without PTSD (6.3-85.2 years old). We found that, compared to the other data harmonization methods, data processed with ComBat-GAM was more sensitive to the detection of significant case-control differences (Χ²(3) = 63.704, p < 0.001) as well as case-control differences in age-related cortical thinning (Χ²(3) = 12.082, p = 0.007). Both ComBat and ComBat-GAM outperformed LME methods in detecting sex differences (Χ²(3) = 9.114, p = 0.028) in regional cortical thickness. ComBat-GAM also led to stronger estimates of age-related declines in cortical thickness (corrected p-values < 0.001), stronger estimates of case-related cortical thickness reduction (corrected p-values < 0.001), weaker estimates of age-related declines in cortical thickness in cases than controls (corrected p-values < 0.001), stronger estimates of cortical thickness reduction in females than males (corrected p-values < 0.001), and stronger estimates of cortical thickness reduction in females relative to males in cases than controls (corrected p-values < 0.001). Our results support the use of ComBat-GAM to minimize confounds and increase statistical power when harmonizing data with non-linear effects, and the use of either ComBat or ComBat-GAM for harmonizing data with linear effects.

BACKGROUND: Recent advances in data-driven computational approaches have been helpful in devising tools to objectively diagnose psychiatric disorders. However, current machine learning studies limited to small homogeneous samples, different methodologies, and different imaging collection protocols, limit the ability to directly compare and generalize their results. Here we aimed to classify individuals with PTSD versus controls and assess the generalizability using a large heterogeneous brain datasets from the ENIGMA-PGC PTSD Working group. METHODS: We analyzed brain MRI data from 3,477 structural-MRI; 2,495 resting state-fMRI; and 1,952 diffusion-MRI. First, we identified the brain features that best distinguish individuals with PTSD from controls using traditional machine learning methods. Second, we assessed the utility of the denoising variational autoencoder (DVAE) and evaluated its classification performance. Third, we assessed the generalizability and reproducibility of both models using leave-one-site-out cross-validation procedure for each modality. RESULTS: We found lower performance in classifying PTSD vs. controls with data from over 20 sites (60 % test AUC for s-MRI, 59 % for rs-fMRI and 56 % for d-MRI), as compared to other studies run on single-site data. The performance increased when classifying PTSD from HC without trauma history in each modality (75 % AUC). The classification performance remained intact when applying the DVAE framework, which reduced the number of features. Finally, we found that the DVAE framework achieved better generalization to unseen datasets compared with the traditional machine learning frameworks, albeit performance was slightly above chance. CONCLUSION: These results have the potential to provide a baseline classification performance for PTSD when using large scale neuroimaging datasets. Our findings show that the control group used can heavily affect classification performance. The DVAE framework provided better generalizability for the multi-site data. This may be more significant in clinical practice since the neuroimaging-based diagnostic DVAE classification models are much less site-specific, rendering them more generalizable.