Key Points
- Pioneering Research: Conducted by King’s College London researchers and published in the scientific journal Immunity, researchers have been able to map the dynamic process of immune response in adult patients suffering from sepsis.
- Scope of Problem: It is estimated that sepsis causes about 160 million cases and roughly 21 million deaths annually across the globe.
- Approach Used: Blood samples were collected from patients at four different time points, ranging from admission to discharge at Guy’s and St Thomas’ NHS Foundation Trust.
- Detailed Profiling: Researchers used machine learning to create an immune profile based on various parameters including immune cells, gene expression, and protein expression.
- Three Temporal States: Three different immune temporal states called STImS were revealed by researchers which differ in immune cell activities and response programs.
- Misalignment with Clinical Stages: Importantly, these immune states are not in sync with clinical stages; for example, immune state STImS1 is not aligned with the day when the condition is diagnosed by the clinician.
- Future Therapies: This research is intended to lead to the development of targeted therapies for each immune alteration in this disease trajectory.
London (The Londoner News) August 28, 2026 — Medical researchers have unveiled a high-resolution map tracking how the human immune response shifts over time in adults suffering from sepsis, a discovery that could revolutionise future therapeutic interventions. Sepsis remains a life-threatening medical emergency triggered by a severe, misfiring immune response to an infection. Characterised by vital organ failure, the condition can prove fatal even when treated rapidly. Global estimates indicate that sepsis impacts over 160 million people annually, resulting in approximately 21 million deaths worldwide.
What are the limitations of current sepsis treatments?
Traditional therapeutic strategies for managing sepsis rely heavily on two main pillars: tackling the underlying infection using antimicrobials and providing intensive supportive care to sustain failing vital organs. Despite decades of clinical effort focused on modulating or correcting the misfiring immune system, historical attempts have consistently failed to achieve meaningful improvements in patient outcomes.
Addressing this persistent clinical roadblock, researchers initiated a comprehensive investigation to gain a granular understanding of the immune response mechanisms that fluctuate dynamically as sepsis progresses. The study’s findings were officially published in the academic journal Immunity.
How was the comprehensive immune profile generated?
To construct a detailed picture of the human immune response—referred to by scientists as an ‘immune profile’—the research team examined serial blood samples collected from critically ill patients being treated for sepsis at Guy’s and St Thomas’ NHS Foundation Trust. These samples were meticulously gathered across four distinct timepoints, spanning the duration from a patient’s initial admission to critical care through to their eventual discharge.
Instead of looking at isolated markers, the investigators evaluated multiple layers of immunological information from the blood samples. This multi-layered approach incorporated deep data analyses concerning changing immune cells, gene expression programmes, and protein expression dynamics.
To make sense of this vast web of biological data, the research team employed advanced machine learning approaches. For the first time in sepsis research, these computational tools successfully combined the various data layers to generate a comprehensive and unified immune profile of patients battling the condition.
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What are the three distinct immune states discovered in sepsis?
The deep data analyses revealed a defined immune trajectory consisting of three separate, temporal immune states—designated as STImS—operating between a patient’s initial hospital admission and their eventual recovery. Each of these distinct states involves unique, shifting patterns of immune cell activity and specific immune response programmes.
Crucially, the authors noted that these biological sepsis immune states do not match up neatly with traditional clinical stages of the illness. As a prime example, the immunological ‘early’ state, labeled as STImS1, does not necessarily align with the early clinical stage of sepsis, which is typically marked by the calendar day a physician formally diagnoses a patient.
What are the implications for future patient care?
According to the study’s authors, these novel findings carry vital implications when considering how clinicians should approach treatment design for sepsis patients. Specifically, the mapping data opens doors to determining what specific treatments should be administered and, equally importantly, precisely when they should be delivered during the patient’s illness trajectory.
The core research was conducted by Dr Matthew Fish during his PhD studies at King’s College London, working within the laboratory led by Professor Manu Shankar-Hari. Dr Fish’s investigative work received financial support via a National Institute of Academic Anesthesia BJA/RCoA fellowship. Following the completion of his doctorate, Dr Fish transitioned to a role as a postdoctoral researcher at Massachusetts General Hospital, where he maintains his academic focus on studying sepsis and the human immune system.
Furthermore, the collaborative study brought together a multidisciplinary team of prominent researchers from several major academic institutions. Co-contributors from King’s College London included Dr Chad Swanson, Reader in the School of Immunology & Microbial Sciences, alongside Professor Mervyn Singer, an established Professor of Intensive Care Medicine at University College London.
