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Businesses increasingly need agile and elastic computing infrastructure to respond quickly to real-world situations. By offering efficient process-based virtualization and a layered image system, containers are designed to enable agile and elastic application deployment. However, creating or updating large container clusters is still slow due to the image downloading and unpacking process. In this article, we present DADI Image Service (DADI), a block-level image service for increased agility and elasticity in deploying applications. DADI replaces the waterfall model of starting containers (downloading image, unpacking image, starting container) with fine-grained on-demand transfer of remote images, realizing instant start of containers. To accelerate the cold start of containers,DADI designs a pull-based prefetching mechanism that allows a host to read necessary image data beforehand at the granularity of image layers. We design a peer-to-peer–based decentralized image sharing architecture to balance traffic among all the participating hosts and propose a pull-push collaborative prefetching mechanism to accelerate cold start.DADI efficiently supports various kinds of runtimes including cgroups, QEMU, and so on, further realizing "build once, run anywhere."DADI has been deployed at scale in the production environment of Alibaba, serving one of the world's largest ecommerce platforms. Performance results show thatDADI can cold start 10,000 containers on 1,000 hosts within 4 s. [ABSTRACT FROM AUTHOR]

Here we aim to build up a metagenomics-centered surveillance on the infectious microbiome showing in the fever of unknown origin (FUO) patients. We collected venous blood, bronchoalveolar lavage fluid, cerebrospinal fluid, tissue block, sputum, bone marrow biopsy, and purulent liquid samples from 123 patients. Metagenomic sequencing (mNGS) for both DNA and RNA sequences was performed to profile the total pathogenic microbiome in the samples. A large pool of infectious or conditional infectious bacteria was found, belonging to Enterobacteriaceae, Staphylococcaceae (10.55%), Burkholderiaceae (10.05%), and Comamonadaceae (4.25%). The major virus families detected from mNGS analysis include Adenoviridae, Anelloviridae, Peribunyaviridae, Flaviviridae , and Herpesviridae , showing up in 34.96%, 47.37%, 30.89%, 5.69%, 3.25%, and 1.63% of patients, respectively. Using the Ward clustering method, two clusters of patients were organized: high-variety group and low-variety group. The patients in the high-variety group demonstrated higher levels of immune cells and inflammatory indicators such as lactate dehydrogenase, aspartate aminotransferase, and alanine aminotransferase. The patients in the low-variety group showed higher levels of inflammatory lipids such as 13,14-dihy-15-keto PGE2 (fold > 10, P  = 0.021); tetra-PGDM (fold = 5.29, P  = 0.037); and 20-HETE (fold > 10, P  = 0.02). The mNGS surveillance system demonstrated remarkable potential in preventing infectious diseases using mNGS data. [ABSTRACT FROM AUTHOR]

To the Editor: Since the first avian influenza virus (H5N1) was isolated from a goose in the southern region of the People's Republic of China a decade ago (1), no [...]

Noroviruses (NoVs) are the leading cause of acute viral gastroenteritis outbreaks. From June 2015 to March 2017, fifteen outbreaks of acute gastroenteritis (AGE) were reported to the Jinan Center for Disease Control and Prevention in China. To identify the circulating NoV genotypes associated with outbreaks in Jinan, China, 414 specimens from the 15 outbreaks were collected and analyzed for the causative viruses, and phylogenetic analysis was performed on the NoV-positive strains. The NoV detection rate was 57.5% (238/414), and a total of 14 outbreaks were caused by NoVs (eight by infection with genogroup II (GII), five by mixed infection with GI and GII, and one by mixed infection with GII and rotavirus (RoV)-A). A total of 75 NoV sequences were obtained from 13 NoV-positive outbreaks and classified into seven genotypes (38 GII.17, 13 GII.2, 4 GII.3, 4 GII.1, 10 GI.6, 5 GI.5 and 1 GI.3), while GII.4 was not identified. The most prevalent genotype changed yearly during the 2015–2017 period. Phylogenetic analysis demonstrated that these NoV genotypes had high homology with the strains circulating worldwide, especially strains from Asian countries and cities. Our study illustrated that multiple non-GII.4 NoV genotypes were prevalent in outbreaks of AGE in Jinan, China. Year-round surveillance of multiple NoV genotypes could help health authorities reduce the impact of NoV outbreaks on public health. [ABSTRACT FROM AUTHOR]

Hand, foot, and mouth disease (HFMD) is an infectious disease caused by human enterovirus 71 (EV71), coxsackievirus A16 (CVA16) and other enteroviruses. It is of interest that other enteroviruses associated with HFMD in Jinan have been rarely reported. The aim of the present study is to detect and characterize the circulating serotypes of non-EV71 and non-CVA16 enteroviruses associated with HFMD in Jinan city, Shandong province, China. A total of 400 specimens were collected from clinically diagnosed HFMD cases in Jinan from January 2009 to June 2013. All specimens were infected with non-EV71 and non-CVA16 enteroviruses previously confirmed by RT-PCR or real-time PCR according to the protocols at that time. The GeXP-based multiplex RT-PCR assay (GeXP assay) was performed to investigate the pathogen spectrum of 15 enteroviruses (coxsackieviruses A4, A5, A6, A9, A10, A16; coxsackieviruses B1, B3, B5; Echoviruses 6, 7, 11, 13, 19 and EV71) infections associated with HMFD. For GeXP assay negative samples, reverse transcription nested PCR (nested RT-PCR) based on the 5’ -untranslated region (5’- UTR) sequence and phylogenetic analysis were conducted to further explore the etiology of multiple enteroviruses. The results showed that a total of twenty serotypes of enteroviruses (including EV71 and CVA16) were identified by GeXP assay and nested RT-PCR. The most circulating twelve serotypes of enteroviruses with HFMD in Jinan from 2009 to June 2013 were EV71, CVA16, CVA10, CVA6, CVA12, CVA2, Echo3, CVA4, CVA9, CVB1, CVB3 and Echo6. CVA10 and CVA6 were the most prevalent pathogens other than EV71 and CVA16 in Jinan and their most prevalent seasons were spring and summer, and a slight increase was observed in autumn and early winter. It should be noted that mixed-infections were identified by GeXP assay and the phylogenetic tree clearly discriminated the multiple pathogens associated with HFMD. Our results thus demonstrate that there was a clear lack of a reliable testing method for EV71 and CVA16 and multiple non-EV71 and non-CVA16 enteroviruses associated with HFMD were present in Jinan. The GeXP assay combined with nested RT-PCR based on 5’-UTR region could meet the need for the national surveillance of multiple enteroviruses or the investigation of epidemic outbreaks triggered by enteroviruses in the future. [ABSTRACT FROM AUTHOR]

A membrane filter ( MF) method was evaluated for its suitability for qualitative and quantitative analyses of Cronobacter spp. in drinking water by pure strains of Cronobacter and non- Cronobacter, and samples spiked with chlorinated Cronobacter sakazakii ATCC 29544. The applicability was verified by the tests: for pure strains, the sensitivity and the specificity were both 100%; for spiked samples, the MF method recovered 82.8 ± 10.4% chlorinated ATCC 29544 cells. The MF method was also applied to screen Cronobacter spp. in drinking water samples from municipal water supplies on premises ( MWSP) and small community water supplies on premises ( SCWSP). The isolation rate of Cronobacter spp. from SCWSP samples was 31/114, which was significantly higher than that from MWSP samples which was 1/131. Besides, the study confirmed the possibility of using total coliform as an indicator of contamination level of Cronobacter spp. in drinking water, and the acquired correct positive rate was 96%. [ABSTRACT FROM AUTHOR]

Background: Real-time reverse transcription-PCR (rRT-PCR) has been the most effective and widely implemented diagnostic technology since the beginning of the COVID-19 pandemic. However, fuzzy rRT-PCR readouts with high Ct values are frequently encountered, resulting in uncertainty in diagnosis., Methods: A Specific Enhancer for PCR-amplified Nucleic Acid (SENA) was developed based on the Cas12a trans-cleavage activity, which is specifically triggered by the rRT-PCR amplicons of the SARS-CoV-2 Orf1ab (O) and N fragments. SENA was first characterized to determine its sensitivity and specificity, using a systematic titration experiment with pure SARS-CoV-2 RNA standards, and was then verified in several hospitals, employing a couple of commercial rRT-PCR kits and testing various clinical specimens under different scenarios., Findings: The ratio (10 min/5 min) of fluorescence change (FC) with mixed SENA reaction (mix-FCratio) was defined for quantitative analysis of target O and N genes, and the Limit of Detection (LoD) of mix-FCratio with 95% confidence interval was 1.2≤1.6≤2.1. Totally, 295 clinical specimens were analyzed, among which 21 uncertain rRT-PCR cases as well as 4 false negative and 2 false positive samples were characterized by SENA and further verified by next-generation sequencing (NGS). The cut-off values for mix-FCratio were determined as 1.145 for positive and 1.068 for negative., Interpretation: SENA increases both the sensitivity and the specificity of rRT-PCR, solving the uncertainty problem in COVID-19 diagnosis and thus providing a simple and low-cost companion diagnosis for combating the pandemic., Funding: Detailed funding information is available at the end of the manuscript., (Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.)

We report here the complete genome sequence of a novel recombinant GII.P16-GII.1 norovirus identified from eight fecal samples collected during an acute gastroenteritis outbreak in Jinan, Shandong Province, China, in 2017. The virus had nucleotide identities of 99% and 91% in the ORF1 and ORF2 genes of related strains, respectively., (Copyright © 2018 Wang et al.)

Background: Invasive fungal infections caused by uncommon fungi have increased in recent years. Hospitalized low-birth-weight infants are at high risk for neonatal fungal infections. Pichia fabianii is a rare pathogen causing blood infection, which has reportedly caused only 4 cases of fungemia and 1 case of endocarditis worldwide. Here, we describe the first case of a P. fabianii blood infection in a premature infant in China., Case Presentation: On July 28th, a low-birth-weight (LBW, 1760 g) female infant born at 33+4 weeks of gestation was admitted to the pediatric intensive care unit with mild neonatal asphyxia. Until August 2nd, a mechanical respirator was used to assist respiration under the Continuous Positive Airway Pressure (CPAP) model. The baby had an increased body temperature and a fever. To prevent infection, Ceftriaxone Sodium (CS) was administered intravenously for three days, after which Cefepime was administered until August 13th. Chest X-rays showed suspected plaque-like shadows in the right lung. Blood cultures twice tested positive for fungal infection caused by Candida pelliculosa (recognized as Pichia fabianii later), which is first mis-identified by commercial kit. Hence, intravenous fluconazole was administered. However, cultures of other body fluids (e.g., urine, feces and sputum) tested negative for fungal infection. Routine tests and biochemistry of cerebrospinal fluid (CSF) were normal. Latex agglutination of Cryptococcus neoformans and fungi cultures in the CSF were also negative. After 14 days of intravenous fluconazole, blood was re-cultured, the result of which was negative. On August 30th, intravenous fluconazole was suspended. On Sep 3rd, the infant left the hospital in good health., Conclusions: This is the first case of a blood infection caused by P. fabianii in a LBW premature female infant in China. Risk factors for fungal infection include premature birth, as well as mechanical invasive operation and antibacterial drug usage. Whether such risk factors necessitate prophylactic use of antifungal drugs is an important question that has yet to be fully addressed. Additionally, the pathogen P. fabianii collected in this study was resistant to amphotericin B (AMB) and itraconazole (ITR). With the exception of the azole-resistant endocarditis case, all other cases have not demonstrated such a resistance. Finally, commercial biochemical methods used in routine practice are limited in their ability to identify P. fabianii. Molecular genetic based methods are imperative for identification of uncommon fungal species from disseminated infections.