The improved workflow increases sensitivity for circulating signals, revealing new adipokines and pathways that were previously missed.

A refined proximity-labeling platform in genetically engineered mice traces proteins to their cellular origins and maps production in the endoplasmic reticulum, producing a detailed atlas of fat–liver signaling networks and inflammation- or obesity-driven changes.

Cross-referencing UK Biobank data links 65 identified proteins to human diseases such as type 2 diabetes, obesity, hypertension, coronary artery disease, heart attack, stroke, atrial fibrillation, and sepsis, suggesting potential biomarkers or targets.

Beyond individual messengers, the work establishes a broad, adaptable framework for in vivo organ-to-organ signaling discovery, with potential to uncover new pathways, biomarkers, and therapeutic targets across metabolic and cardiovascular diseases.

The study reveals distinct protein-communication programs for metabolic states, showing fasting, inflammation, and obesity reshape inter-organ signaling in visceral fat, subcutaneous fat, liver, and B lymphocytes, with each condition driving unique, state-specific networks.

Among the newly identified factors are fat-derived messengers such as gamma-synuclein and MTR1L, whose levels shift notably with metabolic conditions, highlighting novel adipokines linked to obesity progression.

Lead researchers and collaborators, including Ekaterina V. Vinogradova, Ken H. Loh, Jeffrey M. Friedman, and Paul Cohen, contribute to the Cell Reports publication by Plucińska et al. in 2026.

The team combined multiple lab approaches to overcome prior hurdles, enabling enrichment of tagged proteins and discrimination of rare signals within complex tissues.

The platform demonstrated applicability across tissues, metabolic states, and immune cell types, with plans to expand to brown adipose tissue, exercise-related signaling, and broader immunology contexts.

The work positions fat tissue as a central humoral hub in metabolic regulation and envisions extending the approach to broader immune signaling and other organ systems.

Researchers emphasize that the platform traces both signaling messages and the production machinery, offering insight into how protein-folding stress in the ER adapts under metabolic or inflammatory conditions.

An optimized method boosts protein recovery and reduces missing data in mass spectrometry, enabling detection of low-abundance signaling molecules and novel adipokines beyond leptin.