Published February 22, 2023 | Version v1
Dataset Restricted

Data set related to the article: "Gender Differences Associated with the Prognostic Value of BPIFB4 in COVID-19 Patients: A Single-Center Preliminary Study."

Description

Abstract: In the ongoing global COVID-19 pandemic, male sex is a risk factor for severe disease and death, and the reasons for these clinical discrepancies are largely unknown. The aim of this work is to study the influence of sex on the course of infection and the differences in prognostic markers between genders in COVID-19 patients. Our cohort consisted of 64 adult patients (n = 34 men and n = 30 women) with PCR-proven SARS-CoV-2 infection. Further, a group of patients was characterized by a different severity degree (n = 8 high- and n = 8 low-grade individuals for both male and female patients). As expected, the serum concentrations of LDH, fibrinogen, CRP, and leucocyte count in men were significantly higher than in females. When serum concentrations of the inflammatory cytokines, including IL-6, IL-2, IP-10 and IL-4 and chemokines like MCP-1, were measured with multiplex ELISA, no significant differences between male and female patients were found. In COVID-19 patients, we recently attributed a new prognostic value to BPIFB4, a natural defensin against dysregulation of the immune responses. Here, we clarify that BPIFB4 is inversely related to the disease degree in men but not in women. Indeed, higher levels of BPIFB4 characterized low-grade male patients compared to high-grade ones. On the contrary, no significant difference was reported between low-grade female patients and high-grade ones. In conclusion, the identification of BPIFB4 as a biomarker of mild/moderate disease and its sex-specific activity would open an interesting field for research to underpin gender-related susceptibility to the disease.

Files

Restricted

The record is publicly accessible, but files are restricted. Log in to check if you have access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

To access this data set please contact  Dr Anna Maciag at anna.maciag@multimedica.it

You are currently not logged in. Do you have an account? Log in here