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1.
Int J Environ Res Public Health ; 19(4)2022 Feb 15.
Article in English | MEDLINE | ID: covidwho-1686793

ABSTRACT

BACKGROUND: Krebs von den Lungen-6 (KL-6) has been proposed as a disease severity marker of COVID-19. All research articles reported the KL-6 assay detected through Fujirebio reagents by Lumipulse G600/G1200 instrument. In the present study, KL-6 assay was analysed through Tosoh AIA-360 and compared with analytical results by Lumipulse G600 in a population of COVID-19 patients. MATERIALS AND METHODS: Sixty-four patients (median age, IQR 67 (58-76) years), all hospitalized for COVID-19 interstitial pneumonia at Siena COVID Unit. KL-6 was measured by two methods, chemiluminescence enzyme immunoassay (CLEIA) and fluorescent enzyme immunoassay (FEIA) method by Lumipulse G600 II and AIA 360 systems, respectively. RESULTS: KL-6 concentrations evaluated by Lumipulse G600II were significantly higher in severe than those in non-severe patients (p < 0.0001) as well as evaluating by AIA360 (p < 0.0001). Receiver operating curve (ROC) curve analysis showed that KL-6 concentrations, by Lumipuse G600II, distinguished severe from non-severe COVID-19 patients with an area under the curve (AUC) of 99.8% and the best cut-off value was 448 U/mL. AUROC between severe and non-severe COVID-19 patients using T0 KL-6 concentrations by AIA360 was 97.4% and the best cut-off value was 398 U/mL. According to T0 KL-6 concentrations in COVID-19 patients, Bland-Altman difference analysis revealed a mean bias of 78 ± 174.8; while using T1 KL-6 concentrations in COVID-19 patients, Bland-Altman difference analysis revealed a mean bias of 48 ± 126 (95% limits of agreement -199-295) between the Lumipulse G600 II and the AIA360 systems. CONCLUSIONS: In conclusion, our study demonstrated that CLEIA and FEIA methods for serum KL-6 detection are comparable and reliable. KL-6 was confirmed as an easily detectable and effective biomarker to identify severe COVID-19 patients.


Subject(s)
COVID-19 , Aged , Area Under Curve , Biomarkers , COVID-19/diagnosis , Humans , SARS-CoV-2 , Severity of Illness Index
2.
Front Endocrinol (Lausanne) ; 11: 596898, 2020.
Article in English | MEDLINE | ID: covidwho-1011403

ABSTRACT

Increasing evidence demonstrated that the expression of Angiotensin I-Converting Enzyme type 2 (ACE2) is a necessary step for SARS-CoV-2 infection permissiveness. In light of the recent data highlighting an association between COVID-19 and diabetes, a detailed analysis aimed at evaluating ACE2 expression pattern distribution in human pancreas is still lacking. Here, we took advantage of INNODIA network EUnPOD biobank collection to thoroughly analyze ACE2, both at mRNA and protein level, in multiple human pancreatic tissues and using several methodologies. Using multiple reagents and antibodies, we showed that ACE2 is expressed in human pancreatic islets, where it is preferentially expressed in subsets of insulin producing ß-cells. ACE2 is also highly expressed in pancreas microvasculature pericytes and moderately expressed in rare scattered ductal cells. By using different ACE2 antibodies we showed that a recently described short-ACE2 isoform is also prevalently expressed in human ß-cells. Finally, using RT-qPCR, RNA-seq and High-Content imaging screening analysis, we demonstrated that pro-inflammatory cytokines, but not palmitate, increase ACE2 expression in the ß-cell line EndoC-ßH1 and in primary human pancreatic islets. Taken together, our data indicate a potential link between SARS-CoV-2 and diabetes through putative infection of pancreatic microvasculature and/or ductal cells and/or through direct ß-cell virus tropism.


Subject(s)
Angiotensin-Converting Enzyme 2/metabolism , COVID-19/virology , Insulin-Secreting Cells/metabolism , Microvessels/metabolism , Pancreas/metabolism , SARS-CoV-2/isolation & purification , COVID-19/metabolism , COVID-19/pathology , Cells, Cultured , Cytokines/metabolism , Humans , Insulin-Secreting Cells/virology , Microvessels/virology , Pancreas/virology
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