COVID-19 is a disease with heterogeneous clinical appearances. Most patients are asymptomatic or exhibit mild to moderate symptoms; approximately 15% progress to severe pneumonia and about 5% are eventually admitted to the intensive care unit (ICU) due to acute respiratory distress syndrome (ARDS), septic shock and/ or multiple organ failure. ICU patients respond poorly to currently available treatments and exhibit a high mortality rate. 1-3 Inadequate identification of the determinants of fatal outcomes is one of the major obstacles to the improvement of the outcomes in severe COVID-19 patients. A previous study reported a scoring system (COVID-GRAM) which accurately predicted the occurrence of critical illness in hospitalized COVID-19 patients. 4 Damage-associated molecular patterns (DAMPs), or alarmins, are a number of molecules, released by stressed cells undergoing microbial infection or sterile injury, that act as danger signals to promote and exacerbate the inflammatory response. 5,6 Of note, the serum level of S100A8/A9 and HMGB1 was found to be correlated with both the severity of pathogen-associated tissue damage and excessive cytokine storm. 7 Despite the hypothesis that S100A8/A9 and HMGB1 are significantly involved in COVID-19, so far, no study has yet tried to substantiate the hypothesis. In this study, we aimed to define the role of S100A8/ A9 and HMGB1 in progression to a fatal outcome and develop clinically relevant risk strata for COVID-19 patients. A total of 121 patients were enrolled in this retrospective study, of which 40 patients were in ICU and 81 patients in general wards at enrollment (Table S1). ICU Patients had much higher COVID-GRAM risk scores in comparison to those in general wards. Complications, including ARDS, sepsis, septic shock, secondary infection, acute renal injury, acute cardiac injury or failure, were more frequent in CCOVID-19 patients admitted to ICU. As of the cutoff date of April 30, 2020, most of non-ICU patients (96.3%) had been discharged alive, while 82.5% of ICU patients had died in ICU.

The coronavirus disease 2019 (COVID-19) pandemic can have a profound impact on the mental health of patients who survived the illness. However, little is known about the prevalence rate of mental health disorders among hospital discharged COVID-19 patients and its associated factors. A cross-sectional survey of hospital discharged patients was conducted April 11-22, 2020 in Wuhan, China (where the pandemic began). 675 participants completed the survey, including 90 (13.3%) medical staff (physicians and nurses who had been ill). We used Fisher's exact test and multivariable logistic regression methods to explore the risk factors associated with mental health problems (anxiety, depression, and PTSD symptoms associated with COVID-19 hospitalization). Adverse mental health effects of COVID-19 are evident after discharge from the hospital, with sleep difficulties highlighted as a central issue. As we found that perceived discrimination was a central predictor of mental illness, preventing and addressing social stigma associated with COVID-19 may be crucial for improving mental health for recovered patients.

This review summarizes the key results of recently published studies on the effects of dietary change and nutritional intervention on the human microbiome from around the world, focusing on the USA, Canada, Europe, Asia, and Africa. It first explores mechanisms that might explain the ability of fiber-rich foods to suppress the incidence and mortality from westernized diseases, notably cancers of the colon, breast, liver, cardiovascular, infectious, and respiratory diseases, diabetes,

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How to properly understand coronal mass ejections (CMEs) viewed in white light coronagraphs is crucial to many relative researches in solar and space physics. The issue is now particularly addressed in this paper through studying the source locations of all the 1078 Large Angle and Spectrometric Coronagraph (LASCO) CMEs listed in Coordinated Data Analysis Workshop (CDAW) CME catalog during 1997–1998 and their correlation with CMEs' apparent parameters. By manually checking LASCO and Extreme Ultraviolet Imaging Telescope (EIT) movies of these CMEs, we find that, except 231 CMEs whose source locations cannot be identified due to poor data, there are 288 CMEs with location identified on the frontside solar disk, 234 CMEs appearing above solar limb, and 325 CMEs without evident eruptive signatures in the field of view of EIT. On the basis of the statistical results of CMEs' source locations, there are four physical issues: (1) the missing rate of CMEs by SOHO LASCO and EIT, (2) the mass of CMEs, (3) the causes of halo CMEs, and (4) the deflections of CMEs in the corona, are exhaustively analyzed. It is found that (1) about 32% frontside CMEs cannot be recognized by SOHO, (2) the brightness of a CME at any heliocentric distance is roughly positively correlated with its speed, and the CME mass derived from the brightness is probably overestimated, (3) both projection effect and violent eruption are the major causes of halo CMEs, and especially for limb halo CMEs the latter is the primary one, and (4) most CMEs deflected toward equator near the solar minimum; these deflections can be classified into three types: the asymmetrical expansion, the nonradial ejection, and the deflected propagation.

We report the isolation of Pi1, a gene conferring broad-spectrum resistance to rice blast (Magnaporthe oryzae). Using loss- and gain-of-function approaches, we demonstrate that Pi1 is an allele at the Pik locus. Like other alleles at this locus, Pi1 consists of two genes. A functional nucleotide polymorphism (FNP) was identified that allows differentiation of Pi1 from other Pik alleles and other non-Pik genes. A extensive germplasm survey using this FNP reveals that Pi1 is a rare allele in germplasm collections and one that has conferred durable resistance to a broad spectrum of pathogen isolates.

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