Allen, Alina

Abstract Accurate, noninvasive biomarkers for diagnosis and longitudinal monitoring of metabolic dysfunction–associated steatohepatitis (MASH) remain an urgent unmet clinical need. Here, we describe an electrochemical immunoassay that involves capturing hepatic extracellular vesicles (EVs) on antibody-modified electrodes followed by detecting EV-borne biomarkers using redox active gold nanoparticles (AuNPs). The intensity of electrochemical redox signal represents a quantitative measure of biomarker abundance. Three MASH-associated biomarkers—S100A11, TNF-α, and TGF-β1—were analyzed on hepatic EVs to assess steatotic, inflammatory, and fibrotic states of the diseased liver. The electrochemical signals for individual biomarkers were added into a composite EV MASH score. Plasma samples from 28 patients with MASH, 22 healthy controls, and 27 patients with non-MASH liver disease were scored in this manner, revealing 100% accuracy in the training cohort and >90% accuracy in an independent validation cohort. Our electrochemical immunosensor represents a minimally invasive liquid liver biopsy, offering a promising alternative to solid liver biopsies for screening and monitoring of MASH. One Sentence Summary Circulating hepatic extracellular vesicles carry biomarkers of liver injury enabling accurate, minimally invasive MASH diagnosis in blood.

Summary Central obesity is a risk factor for esophageal adenocarcinoma (EAC) independent of acid reflux. However, about a quarter of patients with Barrett’s esophagus (BE) and EAC have a normal body mass index (BMI). One hypothesis is that chronic systemic inflammation is as critical to the cancer pathway than the BMI alone. Therefore, we hypothesized that lean patients with BE/EAC would have a high prevalence of metabolic diseases. We aimed to compare metabolic diseases among lean patients with BE/EAC and overweight/obese BE/EAC and lean control without BE/EAC. We performed a propensity score–matched case–control study including patients with BE/EAC and a control group without BE/EAC from the Rochester Epidemiology Project (REP). The groups were compared using chi-square χ 2 and Student t-test as appropriate. Adjusted logistic regression models were used to compare the association with metabolic diseases. We included a total of 2504 patients (631 EAC, 621 BE, and 1252 controls). A quarter of patients (24.6%) with BE/EAC were lean. When compared to controls without BE/EAC, lean patients with BE were more likely to have diabetes (32.2% vs. 11.2%, P < 0.001) and hyperlipidemia (76.2% vs. 53%, P < 0.001). When comparing lean EAC patients to controls without BE/EAC, lean patients had a higher association with smoking (73.3% vs. 58.6%, P: 0.002) and diabetes (18.7% vs. 11.2%, P: 0.03). When compared to overweight/obese BE patients, lean BE were less likely to have NASH (7.7% vs. 20.3%, P: 0.001), diabetes (32.3% vs. 42.1%, P: 0.03), hyperlipidemia (77.2% vs. 87%, P: 0.003), and metabolic syndrome (24% vs. 54%, P < 0.001). Similarly, when compared to overweight/obese patients with EAC, lean EAC patients were less likely to have NASH (0% vs. 15.5%, P < 0.001), diabetes (18.7% vs. 34.1%, P < 0.001), hyperlipidemia (37.3% vs. 51.8%, P: 0.002), hypertension (37.3% vs. 55.3%, P < 0.001), and metabolic syndrome (8% vs. 37.6%, P < 0.001). A quarter of patients with BE/EAC are lean. Although lean BE/EAC patients have a more favorable metabolic profile compared to overweight/obese BE/EAC patients, diabetes and smoking are more common among lean patients with EAC compared to lean controls. The higher association with smoking and diabetes among lean EAC challenges traditional risk factor paradigms, suggesting a significant role for insulin resistance and chronic inflammation in EAC pathogenesis, especially in patients without typical risk factors. BMI-determined obesity may need to be supplemented with inflammatory metabolic diseases to improve assessment of BE/EAC risk in lean patients.