Does obesity affect the plasma level of Plasminogen Activator Inhibitor-1? And does CO2 pneumoperitoneum affect it?

Diabesity Associates with Poor COVID-19 Outcomes among Hospitalized Patients

Background

Although numerous studies have investigated obesity's negative effect on coronavirus disease 2019 (COVID-19) outcomes, only a limited number focused on this association in diabetic patients. In this study, we analyzed the association between obesity and COVID-19 outcome (death, intensive care unit [ICU] admission, mechanical ventilation needs, quick Sequential Organ Failure Assessment [qSOFA] score, and confusion, urea, respiratory rate, blood pressure [CURB-65] scores) for hospitalized diabetic patients.

Methods

In this prospective hospital-based registry of patients with COVID-19 in East Azerbaijan, Iran, 368 consecutive diabetic patients with COVID-19 were followed from admission until discharge or death. Self-reported weight and height were used to calculate body mass index (kg/m²) upon admission. Our primary endpoint was analyzing obesity and COVID-19 mortality association. Assessing the associations among obesity and disease severity, ICU admission, and mechanical ventilation was our secondary endpoint.

Results

We analyzed data from 317 patients and found no significant difference between obese and non-obese patients regarding frequency of death, invasive mechanical ventilation, ICU admission, CURB-65, or qSOFA scores (P>0.05). After adjusting for confounding factors, obese diabetic COVID-19 patients were 2.72 times more likely to die than non-obese patients. Moreover, ventilator dependence (adjusted odds ratio [aOR], 1.87; 95% confidence interval [CI], 1.03-4.76) and ICU admission (aOR, 2.41; 95% CI, 1.11-5.68) odds were significantly higher for obese patients than non-obese patients.

Conclusion

The results of the present study indicated that obesity worsens health outcomes for diabetic COVID-19 patients.

An MRM-Based Multiplexed Quantification Assay for Human Adipokines and Apolipoproteins

Adipokines and apolipoproteins are key regulators and potential biomarkers in obesity and associated diseases and their quantitative assessment is crucial for functional analyses to understand disease mechanisms. Compared to routinely used ELISAs, multiple reaction monitoring (MRM)-based mass spectrometry allows multiplexing and detection of proteins for which antibodies are not available. Thus, we established an MRM method to quantify 9 adipokines and 10 apolipoproteins in human serum. We optimized sample preparation by depleting the two most abundant serum proteins for improved detectability of low abundant proteins. Intra-day and inter-day imprecision were below 16.5%, demonstrating a high accuracy. In 50 serum samples from participants with either normal weight or obesity, we quantified 8 adipokines and 10 apolipoproteins. Significantly different abundances were observed for five adipokines (adipsin, adiponectin, chemerin, leptin, vaspin) and four apolipoproteins (apo-B100/-C2/-C4/-D) between the body mass index (BMI) groups. Additionally, we applied our MRM assay to serum samples from normal weight children and human adipocyte cell culture supernatants to proof the feasibility for large cohort studies and distinct biological matrices. In summary, this multiplexed assay facilitated the investigation of relationships between adipokines or apolipoproteins and phenotypes or clinical parameters in large cohorts, which may contribute to disease prediction approaches in the future.