An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression.

Dysregulated host responses to infection can lead to organ dysfunction and sepsis, causing millions of global deaths each year. To alleviate this burden, improved prognostication and biomarkers of response are urgently needed. We investigated the use of whole-blood transcriptomics for stratification of patients with severe infection by integrating data from 3149 samples from patients with sepsis due to community-acquired pneumonia or fecal peritonitis admitted to intensive care and healthy individuals into a gene expression reference map. We used this map to derive a quantitative sepsis response signature (SRSq) score reflective of immune dysfunction and predictive of clinical outcomes, which can be estimated using a 7- or 12-gene signature. Last, we built a machine learning framework, SepstratifieR, to deploy SRSq in adult and pediatric bacterial and viral sepsis, H1N1 influenza, and COVID-19, demonstrating clinically relevant stratification across diseases and revealing some of the physiological alterations linking immune dysregulation to mortality. Our method enables early identification of individuals with dysfunctional immune profiles, bringing us closer to precision medicine in infection

An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression

Dysregulated host responses to infection can lead to organ dysfunction and sepsis, causing millions of global deaths each year. To alleviate this burden, improved prognostication and biomarkers of response are urgently needed. We investigated the use of whole-blood transcriptomics for stratification of patients with severe infection by integrating data from 3149 samples from patients with sepsis due to community-acquired pneumonia or fecal peritonitis admitted to intensive care and healthy individuals into a gene expression reference map. We used this map to derive a quantitative sepsis response signature (SRSq) score reflective of immune dysfunction and predictive of clinical outcomes, which can be estimated using a 7- or 12-gene signature. Last, we built a machine learning framework, SepstratifieR, to deploy SRSq in adult and pediatric bacterial and viral sepsis, H1N1 influenza, and COVID-19, demonstrating clinically relevant stratification across diseases and revealing some of the physiological alterations linking immune dysregulation to mortality. Our method enables early identification of individuals with dysfunctional immune profiles, bringing us closer to precision medicine in infection.peer-reviewe

The Koonwarra Fossil Fish Beds Konservat-Lagerstätte: an Update

The Koonwarra Fossil Fish Beds located in South Gippsland, Victoria, Australia is renowned for the quality and quantity of the Early Cretaceous fossil plants, arthropods and fish recovered from this ancient lake deposit.Funding is acknowledged from the Knut &amp; Alice Wallenbergs stiftelse KAW 2020.0145 (V. Vajda), Swedish Research Council VR grants 2019-4061 (V. Vajda), and a Swedish Strategic Research Fund fellowship to O.S.</p

The Lewis Hoard of Gaming Pieces: a re-examination of their context, meanings, discovery and manufacture

ALMOST 180 YEARS of scholarship on the Lewis chessmen have given us a solid foundation of understanding, primarily based upon their art-historical analysis. Taking a more interdisciplinary approach (combining elements of art history with archaeology and history), this paper focuses on some over-looked themes — primarily the archaeological, gaming and political contexts of the 12th- and 13th-century North Sea world — and some more familiar themes but in a new light. We suggest a more fluid composition and function of the gaming hoard,with at least four sets of chessmen from the same workshop conceivably made for use in Lewis, possibly in the early 13th century