Olink proteomic data for RESERVE-U-1-EBB and RESERVE-U-2-TOR

Rationale: The global burden of sepsis is concentrated in sub-Saharan Africa, where inciting pathogens are diverse and HIV co-infection is a major driver of poor outcomes. Biological heterogeneity inherent to sepsis in this setting is poorly defined.
Objectives: To identify dominant pathobiological signatures of sepsis in sub-Saharan Africa and their relationship to clinical phenotypes, patient outcomes, and biological classifications of sepsis identified in high-income countries (HICs).
Methods: We analyzed two prospective cohorts of adults hospitalized with sepsis (severe infection with qSOFA score≥1) at disparate settings in Uganda (discovery cohort [Entebbe, urban], N=242; validation cohort [Tororo, rural], N=253). To identify pathobiological signatures in the discovery cohort, we applied unsupervised clustering to 173 soluble proteins reflecting key domains of the host response to severe infection. A random forest-derived classifier was used to predict signature assignment in the v..., In cryopreserved serum samples, Olink proteomics (Olink Proteomics AB, Uppsala, Sweden) was performed at the Human Immune Monitoring Center of the Icahn School of Medicine at Mount Sinai (New York, NY, USA) using Target Immunooncology and Cardiometabolic panels. These panels, each of which include 92 proteins, were selected to broadly capture pathobiological domains implicated in the host response to severe infection (i.e., innate and adaptive immune activation and exhaustion, endothelial and cellular metabolic dysfunction, dysregulated coagulation). Comprehensive descriptions of each panel including validation data are available at https://olink.com/products-services/target/immune-response-panel/ and https://olink.com/products-services/target/cardiometabolic-panel/. Samples from RESERVE-U-1-EBB and RESERVE-U-2-TOR were analyzed separately. For each cohort, samples were analyzed in a single batch, randomized across plates, and analyzed by technicians blinded to clinical data. For each p..., , # Olink proteomic data for RESERVE-U-1-EBB and RESERVE-U-2-TOR Cohorts

**Description of the Data and File structure:**

Two files are provided corresponding to adult patients (age >=18 years) enrolled in the RESERVE-U-1-EBB (2017-2019) and RESERVE-U-2-TOR (2021-2023) cohorts. Although analyses presented in the manuscript were restricted to patients with qSOFA score >=1, data is provided for patients enrolled in the above cohorts regardless of qSOFA score.

In each file, the \"pid\" column reflects the persistent unique identifier for each sample. The remainder of columns reflect relative protein abundance as quantified in serum using the Olink Target Immunooncology and Cardiometabolic panels (Olink Proteomics AB, Uppsala, Sweden). Relative protein abundance is expressed in log2-normalized protein expression (NPX) units as generated by Olink’s NPX Manager software. Details of all quantified proteins (protein name, Uniprot code, and proportion of missing values in each cohort) are pr...