Exploiting the molecular basis of age and gender differences in outcomes of SARS-CoV-2 infections

Mercatelli, Daniele; Pedace, Elisabetta; Veltri, Pierangelo; Giorgi, Federico M.; Guzzi, Pietro Hiram

doi:10.1016/j.csbj.2021.07.002

Cited by 35 publications

(38 citation statements)

References 91 publications

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“…Patients with dementia have multiple comorbidities such as diabetes and pneumonia, higher baseline inflammation and limited capacity to follow protective recommendations, factors that could explain this result 28 . Our results are consistent with the importance of age and sex in COVID-19 infection 3 , 4 , 22 , 29 ; the study of such repeatable and straightforward variables that are accessible to health professionals and policy-makers could help to develop sex-balance and age-adaptive guidelines 29 .…”

Section: Discussionsupporting

confidence: 88%

“…The results of our work are consistent with previous studies highlighting the importance of chronic systemic inflammation on COVID-19 severity 11 . The association between chronic inflammation status and infection severity has also been described at molecular level, especially in aging 21 , 22 . The existence of low levels of HMGA1 gene may play a key role as a risk factor for COVID-19 patients by triggering inflammatory pathways and atherosclerosis 22 , 23 .…”

Section: Discussionmentioning

confidence: 99%

“…The association between chronic inflammation status and infection severity has also been described at molecular level, especially in aging 21 , 22 . The existence of low levels of HMGA1 gene may play a key role as a risk factor for COVID-19 patients by triggering inflammatory pathways and atherosclerosis 22 , 23 . Low levels of HMGA1 in airway tissues are also associated with smoking and COPD 24 , connecting cardio and respiratory diseases with COVID-19 severity.…”

Section: Discussionmentioning

confidence: 99%

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Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study

Carmona-Pírez

Gimeno‐Miguel

Bliek-Bueno

et al. 2022

Sci Rep

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A major risk factor of COVID-19 severity is the patient's health status at the time of the infection. Numerous studies focused on specific chronic diseases and identified conditions, mainly cardiovascular ones, associated with poor prognosis. However, chronic diseases tend to cluster into patterns, each with its particular repercussions on the clinical outcome of infected patients. Network analysis in our population revealed that not all cardiovascular patterns have the same risk of COVID-19 hospitalization or mortality and that this risk depends on the pattern of multimorbidity, besides age and sex. We evidenced that negative outcomes were strongly related to patterns in which diabetes and obesity stood out in older women and men, respectively. In younger adults, anxiety was another disease that increased the risk of severity, most notably when combined with menstrual disorders in women or atopic dermatitis in men. These results have relevant implications for organizational, preventive, and clinical actions to help meet the needs of COVID-19 patients.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study

Carmona-Pírez

Gimeno‐Miguel

Bliek-Bueno

et al. 2022

Sci Rep

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“… 18 Growing evidence suggested that HMGA2 may be associated with tumorigenesis in a variety of cancers, including lung, breast, kidney and gastric cancers. 8 , 9 , 11 , 19 In our present study, we identified HMGA2 as a down‐stream target of miR‐103a, and our data revealed that miR‐103a directly regulate the expression of HMGA2. These data suggested that SNHG1 promoted RCC proliferation through upregulated HMGA2 by sponging miR‐103a.…”

Section: Discussionsupporting

confidence: 58%

LncRNA SNHG1 promotes renal cell carcinoma progression through regulation of HMGA2 via sponging miR‐103a

Gui

Wang

et al. 2022

Clinical Laboratory Analysis

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Background Long noncoding RNAs (LncRNAs) plays a vital role in tumorigenesis and development. The molecular mechanism of SNHG1 in renal cell carcinoma (RCC) has not been illustrated. The aim of this research was to explore the expression and function of LncRNA SNHG1 in RCC. Material and Methods The expression of SNHG1 in clinical tissues and RCC cell lines was detected. Luciferase reporter assay was performed to verify the correlation between SNHG1, miR‐103a, and HMGA2. CCK‐8 assay was performed to examine cell viability. Cell apoptosis was analyzed using flow cytometry. Cell invasion capacity was determined by Transwell assays. The protein level of HMGA2 was analyzed by Western blotting. Results The expression of SNHG1 markedly increased in RCC tissues and cell lines. Subsequent studies identified SNHG1 as a miRNA sponge for miR‐103a. In addition, SNHG1 knockdown and miR‐103a overexpression significantly inhibited progression of RCC. miR‐103a also regulated HMGA2 levels. Conclusion Our findings showed that SNHG1 was upregulated in RCC cells and tissues. SNHG1 promoted the malignant characteristics of RCC cells. Its regulatory effect may be regulation of HMGA2 by sponging miR‐103a. Therefore, Our study facilitates the understanding of SNHG1 function in RCC.

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“…Meanwhile, the level of DNMT1 was found significantly downregulated in SARS-COV-2–infected epithelial cells ( Muhammad et al, 2021 ). SARS-COV-2 infection mainly affects the molecular mechanisms of aging centered on HMGA1 and HMGA2 proteins, and their interactions may impair or trigger inflammatory pathways, leading to various responses in different age groups ( Mercatelli et al, 2021 ). To conclude, DNMT1, HMGA1, and HMGA2 might be central TFs in the TF–gene regulatory network in COVID-19/NSCLC.…”

Section: Discussionmentioning

confidence: 99%

Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19

et al. 2022

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Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the leading cause of coronavirus disease-2019 (COVID-19), is an emerging global health crisis. Lung cancer patients are at a higher risk of COVID-19 infection. With the increasing number of non-small-cell lung cancer (NSCLC) patients with COVID-19, there is an urgent need of efficacious drugs for the treatment of COVID-19/NSCLC.Methods: Based on a comprehensive bioinformatic and systemic biological analysis, this study investigated COVID-19/NSCLC interactional hub genes, detected common pathways and molecular biomarkers, and predicted potential agents for COVID-19 and NSCLC.Results: A total of 122 COVID-19/NSCLC interactional genes and 21 interactional hub genes were identified. The enrichment analysis indicated that COVID-19 and NSCLC shared common signaling pathways, including cell cycle, viral carcinogenesis, and p53 signaling pathway. In total, 10 important transcription factors (TFs) and 44 microRNAs (miRNAs) participated in regulations of 21 interactional hub genes. In addition, 23 potential candidates were predicted for the treatment of COVID-19 and NSCLC.Conclusion: This study increased our understanding of pathophysiology and screened potential drugs for COVID-19 and NSCLC.

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Exploiting the molecular basis of age and gender differences in outcomes of SARS-CoV-2 infections

Abstract: Graphical abstract

Cited by 35 publications

References 91 publications

Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study

Identifying multimorbidity profiles associated with COVID-19 severity in chronic patients using network analysis in the PRECOVID Study

LncRNA SNHG1 promotes renal cell carcinoma progression through regulation of HMGA2 via sponging miR‐103a

Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19

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