Durability of Immune Response to SARS-CoV-2 Vaccination in Patients with Liver Cirrhosis (LC) As Compared to Healthcare Workers (HW)

Alessandra Mangia,Valeria Piazzolla,Maria Squillante,Giovanna Cocomazzi, Vito Ciciriello,Vincenzo Giambra,Nicola Serra

Journal of Hepatology（2022）SCI 1区

IRCCS Casa Sollievo Sofferenza | Univ Federico II

Cited 1|Views43

Abstract

76%).Median CRP and WBC were 9.2 mg/L and 5 × 103/μL, respectively.CRP levels but not WBC significantly decreased after TIPS ( p < 0.001).Of note, decrease in CRP levels was significantly associated with a better survival ( p = 0.012).As expected, cytokine levels were significantly higher in the cirrhotic patients as compared to healthy controls affecting 30 of 48 measured cytokines (FDR < 0.05).Pattern of SI did not differ between patients with RA and variceal bleeding except from IL-6, which was significantly higher in patients with RA ( p < 0.001).One month after TIPS most cytokines were still measured at levels comparable to baseline and some, e.g.IL-2, were even increased.However, during further follow-up we documented a continuous decrease in the majority of cytokines.For 25 cytokines, including IL-6 and IL-2, levels were significantly lower at month 6 compared to the time of TIPS insertion (FDR < 0.05; figure).Moreover, 7 of the 30 cytokines (including IL-2), which were elevated prior to TIPS, did not show any statistical difference anymore compared to healthy controls.When correlating cytokine changes with the clinical status, IL-6 appeared to be of particular interest: Decrease in IL-6 was associated with a significant improvement in MAMC and numerical increase in HGS and BMI.Figure: Decrease in SI after TIPS.

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

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