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Pneumonia

Image credit: Mayo clinic research

Pneumonia is the most common infectious cause of death worldwide, responsible for an estimated 2.5 million deaths a year. In severe cases, patients may need to be admitted to an ICU and given mechanical ventilation. Severe pneumonia accounts for 6 in 10 infections managed in intensive care, and spread of the infection within ICUs is a significant concern.
Severe pneumonia is usually diagnosed through a combination of symptoms, imaging and blood tests. Symptoms typically include fever or hypothermia, low oxygen levels, breathing difficulties and confusion.

Pneumonia treatment depends on the underlying cause and severity. Bacterial infections require antibiotics, while viral cases focus on symptom management. Severe illness may require hospitalization for oxygen therapy or IV fluids. Home care involves rest, hydration, and over-the-counter fever reducer

Bacterial Pneumonia: Treated with prescription antibiotics. It is vital to finish the entire prescribed course—even if you feel better—to prevent the infection from returning. 

Viral Pneumonia: Antibiotics are ineffective. Doctors usually focus on managing symptoms, though they may prescribe antiviral medications for certain viruses like influenza. 

Fungal Pneumonia: Treated with specific antifungal medications

Doctors have long struggled to understand why patients whose condition looks similar clinically can have very different recoveries. Some respond quickly to treatment, while others remain critically ill for weeks or even die.
Researchers have now shown that severe pneumonia has three different subtypes, helping explain why some patients in intensive care units (ICUs) recover from their illness faster than others, while for other patients the disease can be life-threatening.
Their findings could in future help inform tailored treatments, allowing individual patients to receive the most appropriate therapies.
Even though doctors are able to treat the initial infection, many patients with severe pneumonia still struggle to come off the ventilator and can develop lung failure. Therapies to tackle inflammation in the lungs have had mixed results in clinical trials—some suggest they are beneficial, others that they're harmful.
The current approach of classifying patients by their clinical syndromes—sepsis, acute respiratory distress syndrome and so on—without looking at the underlying biology risks missing what's key. Instead of asking 'Does this patient have pneumonia?', doctors should be asking 'What's the inflammatory pattern in this patient's lungs to correctly treat them?'"

Instead of relying only on blood tests or scans, however, the research team analyzed immune cells, inflammatory signals and gene activity in fluid taken from the lungs of the patients. They discovered that there are three distinct biological types—or "pneumotypes"—of severe pneumonia, none of which could be reliably detected using standard blood tests, even though they were strongly linked to how patients recovered.

The most common pneumotype—accounting for almost half (49%) of cases—was characterized by immune suppression, significant damage to the lining of the lungs and bleeding in the alveoli (tiny air sacs within the lungs). There were fewer signs of inflammation, which may explain why treatments targeting inflammation can fail or even harm some patients.

The second pneumotype—accounting for just under a quarter (23%) of cases—was characterized by a balanced immune response and active repair of damage to the lungs. Patients were most likely to recover faster from this pneumotype and require the shortest time on the ventilator, even though they initially looked just as ill as the others.

Patients with the most dangerous pneumotype—the one that most resembles "classic" pneumonia—spent the longest on mechanical ventilation and had prolonged critical illness. They had severe and persistent inflammation, with a flood of immature immune cells in the lung. This group may be most likely to respond to anti-inflammatory therapies, the research team said.


Severe pneumonia is not a single disease, but several biologically distinct conditions that happen to look alike. This helps explain why 'one-size-fits-all' treatments—including some immune-modulating drugs—have often failed in clinical trials.

The tests used to determine the pneumotypes are too complex to enable rapid classification, but the researchers hope to develop a simplified tool that could help them stratify the patients and ultimately offer tailored treatments.

Pulmonary inflammation in severe pneumonia is characterised by compartmentalised and mechanistically distinct sub-phenotypes, Nature Communications (2026). DOI: 10.1038/s41467-026-74190-x

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Three shifting immune states in sepsis could explain why treatments miss their window
Researchers have mapped how the immune response in people with sepsis changes over time. The work could help pave the way for treatments that target the specific parts of the immune system that are altered over the time course (trajectory) of sepsis illness in adults.

Sepsis is a life-threatening condition that occurs when the immune response to infection misfires. In sepsis, vital organs fail, and the condition can be fatal even when treated quickly. It's estimated that there are over 160 million cases and about 21 million deaths from sepsis worldwide each year.

Current treatments for sepsis focus on treating the underlying infection with antimicrobials and providing supportive care for failing vital organs. Despite efforts to treat the misfiring immune system, none have successfully improved outcomes for patients.

In the new study, published this week in Immunity, researchers sought a more detailed understanding of the immune response mechanisms that change over time in patients with sepsis.

They analyzed blood samples collected at four different time points (between admission to and discharge from critical care) from critically ill patients with sepsis . To build a detailed picture of the immune response, called an "immune profile," the researchers examined multiple layers of immune response information in the blood samples, including data on immune cells, gene expression and changing protein expression.

Using machine learning approaches, they then combined these layers of information to generate a more comprehensive immune profile for the first time in patients with sepsis.
The analyses revealed an immune trajectory with three distinct temporal immune states (referred to as STImS) between admission and recovery, with each state involving different immune cell activity and immune response programs.

Importantly, these sepsis immune states didn't match the clinical stage of sepsis. For example, the "early" immune state (STImS1) was not the same as the early clinical stage of sepsis, which is often the day a clinician diagnoses sepsis.

The researchers say these findings could have important implications for determining how best to treat patients with sepsis—specifically, which treatments to use and when.

The main aim of this work was to build a profile of sepsis immune responses over time. When people are admitted to a hospital with sepsis, they are usually classed as having 'early' sepsis—but the new findings show that this isn't necessarily the case—their immune system may already be at later stages of the immune response. Knowing exactly what is happening to a patient's immune system during sepsis could identify which treatments are likely to work best.
This research shows the importance of looking at the changing architecture of the immune system in sepsis over time, rather than just taking a snapshot view. We need to find better ways to treat the misfiring immune system. Only by understanding the intricacies of the immune system in all its component parts—by integrating and dynamically mapping cell and molecular immunobiology to determine why the very system designed to protect us from infections is misfiring in sepsis—can we begin to improve outcomes for patients by treating the misfiring immune system, say the researchers.

The researchers say the next step for this work is to understand what causes changes in the immune system between the onset of infection and the development of sepsis. Understanding these changes could help identify new treatment targets and approaches to reduce either progression to sepsis or the severity of sepsis, with the potential to improve outcomes and make a difference in the lives of millions affected by serious infections worldwide.

Temporal Analyses of Immune Responses in Sepsis Reveal Asynchrony Between Clinical stage of illness and Immune State, Immunity (2026). DOI: 10.1016/j.immuni.2026.08.003www.cell.com/immunity/fulltext … 1074-7613(26)00325-0

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