2 0 2 1 2 2 All rights reserved. No reuse allowed without permission. ABSTRACT 2 5Background: COVID-19 has been spreading globally since emergence, but the 2 6 diagnostic resources are relatively insufficient. 7Results: In order to effectively relieve the resource deficiency of diagnosing 2 8 COVID-19, we developed a machine learning-based diagnosis model on basis of 2 9 laboratory examinations indicators from a total of 620 samples, and subsequently 3 0implemented it as a COVID-19 diagnosis aid APP to facilitate promotion. 1Conclusions: External validation showed satisfiable model prediction performance 3 2 (i.e., the positive predictive value and negative predictive value was 86.35% and 3 3 84.62%, respectively), which guarantees the promising use of this tool for extensive 3 4 screening.3 5

MicroRNAs (miRNAs) play an important role in the growth and development of human beings. Single nucleotide polymorphisms (SNPs) within miRNA could change their production or affinity with target genes, thus leading to malignant diseases. This case-control study conducted in Western China aimed to explore the relationship between polymorphisms in miR-146a (rs2910164 G>C) and miR-499 (rs3746444 T>C) and primary liver cancers in the Chinese population. 186 primary liver cancer cases and 483 healthy controls were genotyped using polymerase chain reaction-restriction fragment length polymorphism. No significant differences were observed between distributions of the two SNPs and susceptibility of primary liver cancer or diverse clinicopathologic features. However, we found that patients with genotype CG of the SNP in miR-146a tended to have earlier onset and better liver function than patients with genotype CC (average age: 49.9 vs. 54.9, p=0.038; average Child-Pugh grade: 5.55 vs. 6.15, p=0.021), and further analysis showed that patients who had at least one G allele were diagnosed at an earlier age (average age: 49.6 vs. 54.9, p=0.022) and had better liver function (average Child-Pugh grade:5.60 vs. 6.15, p=0.026). Our data suggested lack of association between the two SNPs and primary liver cancer risk, though, interestingly, the miR-146a SNP may influence the age of onset and Child-Pugh grade.

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The decrease of anti-inflammatory cytokine and increase of pro-inflammatory cytokine was observed in rheumatoid arthritis (RA). Interleukin-10 (IL-10), a potent anti-inflammatory cytokine, has been demonstrated to suppress joint swelling and deformation in RA animal model. Interleukin-18 (IL-18), a widely distributed pro-inflammatory cytokine, induces the production of IFN-γ, activate NK cells, and promote inflammation. Recent studies demonstrated that the serum IL-10 and IL-18 levels may be influenced by genetics and related to susceptibility to several autoimmune diseases. In the present study, using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and DNA sequencing techniques, we analyzed the genotype and allele distributions of two single nucleotide polymorphisms (SNP) loci in the promoter region of IL-10 and IL-18 genes (IL-10-592 A/C and IL-18-607 A/C loci, respectively). Our results indicated that IL-10-592 allelic and genotypic frequencies were significantly different between the RA patients and normal subjects (P<0.05). In addition, significant differences of IL-10-592 allelic and genotypic frequencies were also detected between the patients with or without anti-cyclic citrullinated peptide antibody (anti-CCP) (P<0.05). In contrast, allelic and genotypic frequencies of IL-18-607 did not show significant difference between RA patients and normal subjects (P>0.05) or between anti-CCP-positive and anti-CCP-negative RA patients (P>0.05). Furthermore, ELISA detection of IL-10 and IL-18 serum levels revealed that the genotype of IL-10-592 was associated with IL-10 serum level (P<0.05), but the genotype and allele frequency of IL-18-607 was not associated with IL-18 serum level (P>0.05). Taken together, our findings provide new insight for the polymorphism of IL-10 gene in the pathogenesis of RA.

Quercetin is a herbal flavonoid derived from various foods of plant origin and widely used as a major constituent of nutritional supplements. Quercetin has been shown to have anti-inflammatory properties and can play a role in anti-inflammatory procedure. Intercellular adhesion molecule-1 (ICAM-1) is one of the important pro-inflammatory factors, especially in early phage of inflammation. However, the mechanisms regulating ICAM-1 expression by quercetin in human A549 cells were still unclear. In this study, the inhibitory effect of quercetin on ICAM-1 expression by interleukin-1 beta (IL-1 beta)-stimulated A549 cells was investigated, and the roles of mitogen-activated protein kinases (MAPK) pathways were explored. Quercetin attenuated IL-1 beta-induced expression of ICAM-1 mRNA and protein in a dose-dependent manner. The experiment suggested that quercetin actively inhibited inhibitory protein of nuclear factor-kappa B (I kappa B) degradation, and nuclear factor-kappa B (NF-kappa B) activity. The c-fos and c-jun, components of activator protein-1 (AP-1), were mediated by MAPK pathways. ERK and p38 were involved in the c-fos mRNA expression, and JNK was involved in the c-jun mRNA expression. The inhibitory effect of quercetin on ICAM-1 expression was mediated by the sequential attenuation of the c-fos and c-jun mRNA expressions. These inhibitory effects were partially inhibited by SB203580, a specific inhibitor of p38 MAPK, but not by PD98059, a specific inhibitors of extracellular signal-regulated kinase (ERK), and SP600125, a specific inhibitor of c-Jun-N-terminal kinase (JNK). Taken together, these results suggest that quercetin negatively modulating ICAM-1 partly dependent on MAPK pathways.