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Studies on the COVID-19 pandemic effects on gestational diabetes mellitus (GDM) remain limited and controversial. This study aimed to investigate the impact of the COVID-19 lockdown on the glycemic balance of pregnant women and GDM risk. To this aim, a single-center retrospective cohort analysis assessing glucose homeostasis using the oral glucose tolerance test in 862 pregnant women before (from March 9, 2019 to March 8, 2020 – Group 1), during (from March 9, 2020 to March 8, 2021 – Group 2), and after (from March 9, 2021 to March 8, 2022 – Group 3) the COVID-19 lockdown in Molise, a region of central Italy, was conducted. We observed that the blood glucose concentration of pregnant women was significantly lower during the COVID-19 lockdown than during the previous and following years at all time points evaluated (time 0, 60′, and 120′). Specifically, at time 0, it was 82.14 mg/dl for group 2 vs 85.94 for group 1 (p = 0.0001) and 85.87 for group 3 (p = 0.001). Similarly, at 60′, it was 121.38 mg/dl for group 2 vs 129.30 mg/dl for group 1 (p = 0.0029) and 131.68 mg/dl for group 3 (p = 0.0006). Moreover, at 120′, it was 104.20 mg/dl for group 2 vs 111.51 mg/dl (p = 0.0004) for group 1, and 116.06 mg/dl for group 3 (p = 0.0001). In contrast with previous findings, the COVID-19 lockdown was associated with an improved glycemic balance. Further studies are needed to better clarify the influence of lockdown restrictions on glucose metabolism and, consequently, on GDM risk.

Abstract Alzheimer's disease is a progressive and neurodegenerative disorder which involves multiple molecular mechanisms. Intense research during the last years has accumulated a large body of data and the search for sensitive and specific biomarkers has undergone a rapid evolution. However, the diagnosis remains problematic and the current tests do not accurately detect the process leading to neurodegeneration. Biomarkers discovery and validation are considered the key aspects to support clinical diagnosis and provide discriminatory power between different stages of the disorder. A considerable challenge is to integrate different types of data from new potent approach to reach a common interpretation and replicate the findings across studies and populations. Furthermore, long-term clinical follow-up and combined analysis of several biomarkers are among the most promising perspectives to diagnose and manage the disease. The present review will focus on the recent published data providing an updated overview of the main achievements in the genetic and biochemical research of the Alzheimer's disease. We also discuss the latest and most significant results that will help to define a specific disease signature whose validity might be clinically relevant for future AD diagnosis.