Highly pathogenic virus infections usually trigger cytokine storms, which may have adverse effects on vital organs and result in high mortalities. The two cytokines interleukin (IL)-4 and interferon (IFN)-γ play key roles in the generation and regulation of cytokine storms. However, it is still unclear whether the cytokine with the largest induction amplitude is the same under different virus infections. It is unknown which is the most critical and whether there are any mathematical formulas that can fit the changing rules of cytokines. Three coronaviruses (SARS-CoV, MERS-CoV, and SARS-CoV-2), three influenza viruses (2009H1N1, H5N1 and H7N9), Ebola virus, human immunodeficiency virus, dengue virus, Zika virus, West Nile virus, hepatitis B virus, hepatitis C virus, and enterovirus 71 were included in this analysis. We retrieved the cytokine fold change (FC), viral load, and clearance rate data from these highly pathogenic virus infections in humans and analyzed the correlations among them. Our analysis showed that interferon-inducible protein (IP)-10, IL-6, IL-8 and IL-17 are the most common cytokines with the largest induction amplitudes. Equations were obtained: the maximum induced cytokine (max) FC = IFN-γ FC × (IFN-γ FC/IL-4 FC) (if IFN-γ FC/IL-4 FC > 1); max FC = IL-4 FC (if IFN-γ FC/IL-4 FC < 1). For IFN-γ-inducible infections, 1.30 × log2 (IFN-γ FC) = log10 (viral load) − 2.48 − 2.83 × (clearance rate). The clinical relevance of cytokines and their antagonists is also discussed.
During proteasomal stress, cells can alleviate the accumulation of polyubiquitinated proteins by targeting them to perinuclear aggresomes for autophagic degradation, but the mechanism underlying the activation of this compensatory pathway remains unclear. Here we report that PINK1-s, a short form of Parkinson disease (PD)-related protein kinase PINK1 (PTEN induced putative kinase 1), is a major regulator of aggresome formation. PINK1-s is extremely unstable due to its recognition by the N-end rule pathway, and tends to accumulate in the cytosol during proteasomal stress. Overexpression of PINK1-s induces aggresome formation in cells with normal proteasomal activities, while loss of PINK1-s function leads to a significant decrease in the efficiency of aggresome formation induced by proteasomal inhibition. PINK1-s exerts its effect through phosphorylation of the ubiquitin-binding protein SQSTM1 (sequestosome 1) and increasing its ability to sequester polyubiquitinated proteins into aggresomes. These findings pinpoint PINK1-s as a sensor of proteasomal activities that transduces the proteasomal impairment signal to the aggresome formation machinery.
The coronavirus disease 2019 (COVID-19) has spread over the world for more than one year. COVID-19 often develops life-threateninghypoxemia. Endothelial injury caused by the viral infection leads to intravascular coagulation and ventilation–perfusion mismatch. However, besides above pathogenic mechanisms, the role of alveolar edema in the disease progression has not been discussed comprehensively. Since the exudation of pulmonary edema fluid was extremely serious in COVID-19 patients, we bring out a hypothesis that severity of alveolar edema may determine the size of poorly-ventilated area and the blood oxygen content. Treatments to pulmonary edema (conservative fluid management, exogenous surfactant replacementsand ethanol–oxygen vapor therapyhypothetically) may be greatly helpful for reducingthe occurrences of severe cases. Given that late mechanical ventilation may causemucus (edema fluid) to be blown deep intothe small airways,oxygentherapy should be given at the early stages. Theoptimaltimeand blood oxygen saturation (SpO2) thresholdforoxygentherapy are also discussed.
An association between circulating pentraxin-3 (PTX3) and the risk of preeclampsia (PE) remains to be established. We performed a meta-analysis of observational studies to evaluate their relationship. The PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, and WanFang databases were searched for related observational studies evaluating PTX3 and PE risk. A random-effects or a fixed-effects model was used in the meta-analysis, depending on the heterogeneity among the included studies. Nine case–control studies were included, with 396 PE patients and 438 controls. The results showed that PTX3 was significantly higher in pregnant women with PE as compared to those without PE (standardized mean difference [SMD] = 2.48, P < .001), with significant heterogeneity (I2 = 98%), particularly for those over 30 years old (SMD = 3.75, P < .001). Subsequent analyses showed that patients with severe or early-onset PE had higher PTX3 levels compared to those with mild or late-onset PE (SMD = 0.93, P = .01), suggesting that PTX3 may be a marker of PE severity. The association between PTX3 and PE was not significantly affected by the statistical method used. Sensitivity analyses by omitting one study at a time did not significantly affect the results. However, the funnel plots were asymmetric, suggesting the potential existence of publication bias. PTX3 may be related to the risk and severity of PE in pregnant women. These results should be evaluated and confirmed in cohort studies.
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