Clinical Omics & Inflammation Biology

Measure what changes.
Understand what persists.

From clinical phenotype to molecular mechanism.

We integrate patient-derived samples with lipidomics, metabolomics and experimental biology to investigate inflammation, resolution and clinically meaningful molecular states.

Molecular signal / clinical context
LipidomicsMetabolomicsResolution
Clinical phenotypeMetabolic stateInflammationResolution
Human samplesHigh-dimensional dataMechanistic biology

Omics are not the endpoint. They are a way to connect what we measure in patients with the biology that drives disease.

How we work

Clinical context first. Molecular depth second. Mechanism always.

Our workflow starts with a precise clinical question, not with a technology. Samples, analytical platforms and experimental systems are selected around the biological problem.

01

Define

Patients, phenotype and the clinical question.

02

Measure

Lipidomic, metabolomic and complementary molecular readouts.

03

Integrate

Molecular features with clinical and inflammatory phenotypes.

04

Test

Mechanisms that can be challenged experimentally.

Selected programs

Human disease, studied close to the patient and deep into the mechanism.

Inflammation / Resolution

Why can inflammatory programs persist after molecular correction?

We examine residual inflammatory states in human disease using molecular profiling anchored to clinical phenotype.

Exposure / Response

Local drug exposure and molecular response.

We study how airway-proximal pharmacology can inform treatment response and clinical biology.

Research lead

Matteo Mucci

Clinical Omics & Inflammation Biology

The laboratory works at the interface of human samples, analytical chemistry and experimental biology, with the aim of turning molecular signatures into biologically testable questions.