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Background: Plague, caused by the bacterium Yersinia pestis, is a highly infectious, zoonotic disease. Hundreds of human plague cases are reported across the world annually. Qinghai Plateau is one of the most severely affected plague regions in China, with more than 240 fatal cases of Y. pestis in the last 60 years. Conventional epidemiologic analysis has effectively guided the prevention and control of local plague transmission; however, molecular genetic analysis is more effective for investigating population diversity and transmission. In this report, we employed different genetic markers to analyze the population structure of Y. pestis in Qinghai Plateau. Methodology/Principal finding: We employed a two-step hierarchical strategy to analyze the phylogeny of 102 Qinghai Plateau isolates of Y. pestis, collected between 1954 and 2011. First, we defined the genealogy of Y. pestis by constructed minimum spanning tree based on 25 key SNPs. Seven groups were identifi7ed, with group 1.IN2 being identified as the dominant population. Second, two methods, MLVA and CRISPR, were applied to examine the phylogenetic detail of group 1.IN2, which was further divided into three subgroups. Subgroups of 1.IN2 revealed a clear geographic cluster, possibly associated with interaction between bacteriophage and Y. pestis. More recently, Y. pestis populations appear to have shifted from the east toward the center and west of Qinghai Plateau. This shift could be related to destruction of the local niche of the original plague focus through human activities. Additionally, we found that the abundance and relative proportion of 1.IN2 subgroups varied by decade and might be responsible for the fluctuations of plague epidemics in Qinghai Plateau. Conclusion/Significance: Molecular genotyping methods provided us with detailed information on population diversity and the spatial-temporal distribution of dominant populations of Y. pestis, which will facilitate future surveillance, prevention, and control of plague in Qinghai Plateau. [ABSTRACT FROM AUTHOR]

Background Hemorrhagic Fever with Renal Syndrome (HFRS), caused by the hantavirus, is a natural infectious disease characterized by fever, hemorrhage and renal damage. China is the most severely endemic area for HFRS in the world. In recent years, critical scoring systems based on quantitative classification have become an important clinical tool for predicting and evaluating the prognosis of critical illness, and provide guidelines for clinical practice. Methods The sample comprised 384 patients with HFRS treated in the Taizhou Hospital from January 2006 to February 2017. The patients were divided into the severe group and the mild group according to their clinical characteristics. By comparing the differences in clinical symptoms, signs and laboratory data between the two groups, the clinically relevant indicators of severe HFRS were explored. According to the previous studies, we incorporated the positive fecal occult blood test (FOBT) into the sepsis-related organ failure assessment (SOFA) tool and formulated a new scoring system specifically for HFRS, named H-SOFA. By comparing the simplified acute physiology score II (SAPS II), SOFA and H-SOFA scores of the two groups, their predictive values for the progression of HFRS were assessed. Results Compared to the mild group, patients in the severe group had longer hospital stays; higher frequencies of nausea, vomiting, abdomen pain, signs of congestion and hemorrhage; and more pronounced impairment of liver and renal function. The levels of PLT, PCT, TB, and FOBT were positively correlated with the progression of HFRS (P < 0.001). Patients with HFRS in the severe group got significantly higher scores on the SAPS II, SOFA, and H-SOFA scoring systems (P < 0.001). The values of SAPS II, SOFA and H-SOFA, were significantly correlated with the severity of HFRS, and the AUC values were 0.90, 0.96, and 0.98, respectively. Conclusion PLT, PCT, TB, and FOBT were independent predictors of severe HFRS; SAPS II, SOFA, and H-SOFA had high predictive value for the progression of severe HFRS, with H-SOFA being the highest. [ABSTRACT FROM AUTHOR]

• The first report of isolation of P2-like phages of Y. pestis from M. himalayana. • The LPS core structure of Y. pestis is the phages' receptor. • One of the P2-like phages is a temperature sensitive phage, which could only infect Y. pestis at the temperature of mammalian host (37 °C) but not at the temperature of the flea vector (26 °C). Yersinia pestis is the cause of plague, historically known as the "Black Death". Marmota himalayana in the Qinghai-Tibet Plateau (QTP) natural plague focus is the primary host in China. Although several phages originating from Y. pestis have been characterized. This is the first report of isolation of P2-like phages of Y. pestis from M. himalayana. In this study, the isolation and characterization of three P2-like phages of Y. pestis were reported, which were named as vB_YpM_22, vB_YpM_46 and vB_YpM_50. Comparative genome analysis revealed that vB_YpM_22, vB_YpM_46 and vB_YpM_50 are members of the nonlambdoid P2 family, and are highly similar and collinear with enterobacteriophage P2, plague diagnostic phage L-413C and enterobacteriophage fiAA91-ss. The role of LPS core structure of Y. pestis in the phages' receptor was pinpointed. The findings of this study contribute an advance in our current knowledge of Y. pestis phages and will also play a key role in understanding the evolution of Y. pestis phages. [ABSTRACT FROM AUTHOR]

The utility of the urinary proteome in infectious diseases remains unclear. Here, we analyzed the proteome and metabolome of urine and serum samples from patients with COVID-19 and healthy controls. Our data show that urinary proteins effectively classify COVID-19 by severity. We detect 197 cytokines and their receptors in urine, but only 124 in serum using TMT-based proteomics. The decrease in urinary ESCRT complex proteins correlates with active SARS-CoV-2 replication. The downregulation of urinary CXCL14 in severe COVID-19 cases positively correlates with blood lymphocyte counts. Integrative multiomics analysis suggests that innate immune activation and inflammation triggered renal injuries in patients with COVID-19. COVID-19-associated modulation of the urinary proteome offers unique insights into the pathogenesis of this disease. This study demonstrates the added value of including the urinary proteome in a suite of multiomics analytes in evaluating the immune pathobiology and clinical course of COVID-19 and, potentially, other infectious diseases., Competing Interests: Declaration of interest The research group of T.G. is partly supported by Pressure Biosciences. T.G. and Y. Zhu are shareholders of Westlake Omics. W.L., X.Y., N.X., W.G., and X. Zhan are currently employees of Westlake Omics. S.Q., C.Z., and H.L. are employees of Calibra Lab at DIAN Diagnostics. The remaining authors declare no competing interests., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Background and Objectives: Matrix metalloproteinase-12 (MMP-12) plays an important role in invasion and metastasis of human solid tumor cells. This study aimed to investigate the association of MMP-12 with overall survival in human gastric cancer., Methods: Gastric cancer and adjacent normal tissue specimens were collected from 165 patients who had not received neoadjuvant chemotherapy. MMP-12 expression was determined by immunohistochemical staining, and the results were analyzed statistically in relation to the overall survival of the patients., Results: MMP-12 expression was increased in gastric cancer compared with that observed in normal tissues. Increased MMP-12 expression was associated with tumor invasion, lymph node metastasis, distant metastasis, and TNM stage. No correlations were detected between MMP-12 expression and age, sex, differentiation status, tumor site, or Lauren classification. Moreover, patients with MMP-12 positive gastric cancer tended to have worse overall survival compared with those patients without MMP-12 expression., Conclusions: The study results showed that increased expression of MMP-12 was associated with tumor progression in gastric cancer. It also provided the first evidence for MMP-12 expression in gastric cancer as an independent prognostic factor., (Copyright © 2012 Wiley Periodicals, Inc.)