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In silico analyses of Wnt1 nsSNPs reveal structurally destabilizing variants, altered interactions with Frizzled receptors and its deregulation in tumorigenesis
Wnt1 is the first mammalian Wnt gene, which is discovered as proto-oncogene and in human the gene is located on the chromosome 12q13. Mutations in Wnt1 are reported to be associated with various cancers and other human diseases. The structural and functional consequences of most of the non-synonymou...
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Published in: | Scientific reports 2022-09, Vol.12 (1), p.14934-18, Article 14934 |
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description | Wnt1 is the first mammalian
Wnt
gene, which is discovered as proto-oncogene and in human the gene is located on the chromosome 12q13. Mutations in
Wnt1
are reported to be associated with various cancers and other human diseases. The structural and functional consequences of most of the non-synonymous SNPs (nsSNPs), present in the human
Wnt1
gene, are not known. In the present work, extensive bioinformatics analyses are used to screen 292 nsSNPs of
Wnt1
for predicting pathogenic and harmless polymorphisms. We have identified 10 highly deleterious nsSNPs among which 7 are located within the highly conserved areas. These 10 nsSNPs are also predicted to affect the post-translational modifications of Wnt1. Further, structure based stability analyses of these 10 highly deleterious nsSNPs revealed 8 variants as highly destabilizing. These 8 highly destabilizing variants were shown to have high BC score and high RMSIP score from normal mode analyses. Based on the deformation energies, obtained from the normal mode analyses, variants like G169A, G169S, G331R and G331S were found to be unstable. Molecular Dynamics (MD) simulations revealed structural stability and fluctuation of WT Wnt1 and its prioritized variants. RMSD remained fluctuating mostly between 4 and 5 Å and occasionally between 3.5 and 5.5 Å ranges. RMSF in the CTD region (residues 330–360) of the binding pocket were lower compared to that of WT. Studying the impacts of nsSNPs on the binding interface of Wnt1 and seven Frizzled receptors have predicted substitutions which can stabilize or destabilize the binding interface. We have found that Wnt1 and FZD8-CRD is the best docked complex in our study. MD simulation based analyses of wild type Wnt1-FZD8-CRD complex and the 8 prioritized variants revealed that RMSF was higher in the unstructured regions and RMSD remained fluctuating in the region of 5 Å ± 1 Å. We have also observed differential
Wnt1
gene expression pattern in normal, tumor and metastatic conditions across different tissues.
Wnt1
gene expression was significantly higher in metastatic tissues of lungs, colon and skin; and was significantly lower in metastatic tissues of breast, esophagus and kidney. We have also found that Wnt1 deregulation is associated with survival outcome in patients with gastric and breast cancer. Furthermore, these computationally screened highly deleterious nsSNPs of
Wnt1
can be analyzed in population based genetic studies and may help understand the Wnt1 associated di |
doi_str_mv | 10.1038/s41598-022-19299-x |
format | article |
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Wnt
gene, which is discovered as proto-oncogene and in human the gene is located on the chromosome 12q13. Mutations in
Wnt1
are reported to be associated with various cancers and other human diseases. The structural and functional consequences of most of the non-synonymous SNPs (nsSNPs), present in the human
Wnt1
gene, are not known. In the present work, extensive bioinformatics analyses are used to screen 292 nsSNPs of
Wnt1
for predicting pathogenic and harmless polymorphisms. We have identified 10 highly deleterious nsSNPs among which 7 are located within the highly conserved areas. These 10 nsSNPs are also predicted to affect the post-translational modifications of Wnt1. Further, structure based stability analyses of these 10 highly deleterious nsSNPs revealed 8 variants as highly destabilizing. These 8 highly destabilizing variants were shown to have high BC score and high RMSIP score from normal mode analyses. Based on the deformation energies, obtained from the normal mode analyses, variants like G169A, G169S, G331R and G331S were found to be unstable. Molecular Dynamics (MD) simulations revealed structural stability and fluctuation of WT Wnt1 and its prioritized variants. RMSD remained fluctuating mostly between 4 and 5 Å and occasionally between 3.5 and 5.5 Å ranges. RMSF in the CTD region (residues 330–360) of the binding pocket were lower compared to that of WT. Studying the impacts of nsSNPs on the binding interface of Wnt1 and seven Frizzled receptors have predicted substitutions which can stabilize or destabilize the binding interface. We have found that Wnt1 and FZD8-CRD is the best docked complex in our study. MD simulation based analyses of wild type Wnt1-FZD8-CRD complex and the 8 prioritized variants revealed that RMSF was higher in the unstructured regions and RMSD remained fluctuating in the region of 5 Å ± 1 Å. We have also observed differential
Wnt1
gene expression pattern in normal, tumor and metastatic conditions across different tissues.
Wnt1
gene expression was significantly higher in metastatic tissues of lungs, colon and skin; and was significantly lower in metastatic tissues of breast, esophagus and kidney. We have also found that Wnt1 deregulation is associated with survival outcome in patients with gastric and breast cancer. Furthermore, these computationally screened highly deleterious nsSNPs of
Wnt1
can be analyzed in population based genetic studies and may help understand the Wnt1 associated diseases.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-022-19299-x</identifier><identifier>PMID: 36056132</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>631/114 ; 631/337 ; 631/535 ; 631/553 ; Carcinogenesis ; Computational Biology ; Frizzled Receptors - genetics ; Humanities and Social Sciences ; Humans ; Molecular Dynamics Simulation ; multidisciplinary ; Polymorphism, Single Nucleotide ; Science ; Science (multidisciplinary) ; Wnt1 Protein - chemistry ; Wnt1 Protein - genetics ; Wnt1 Protein - metabolism</subject><ispartof>Scientific reports, 2022-09, Vol.12 (1), p.14934-18, Article 14934</ispartof><rights>The Author(s) 2022</rights><rights>2022. The Author(s).</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c512t-f445cbfa49385810d1a4dc55d8eb1112614c7a9f50f96b61ca41bb181b3c52953</citedby><cites>FETCH-LOGICAL-c512t-f445cbfa49385810d1a4dc55d8eb1112614c7a9f50f96b61ca41bb181b3c52953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440047/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9440047/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,37013,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36056132$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mondal, Amalesh</creatorcontrib><creatorcontrib>Paul, Debarati</creatorcontrib><creatorcontrib>Dastidar, Shubhra Ghosh</creatorcontrib><creatorcontrib>Saha, Tanima</creatorcontrib><creatorcontrib>Goswami, Achintya Mohan</creatorcontrib><title>In silico analyses of Wnt1 nsSNPs reveal structurally destabilizing variants, altered interactions with Frizzled receptors and its deregulation in tumorigenesis</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Wnt1 is the first mammalian
Wnt
gene, which is discovered as proto-oncogene and in human the gene is located on the chromosome 12q13. Mutations in
Wnt1
are reported to be associated with various cancers and other human diseases. The structural and functional consequences of most of the non-synonymous SNPs (nsSNPs), present in the human
Wnt1
gene, are not known. In the present work, extensive bioinformatics analyses are used to screen 292 nsSNPs of
Wnt1
for predicting pathogenic and harmless polymorphisms. We have identified 10 highly deleterious nsSNPs among which 7 are located within the highly conserved areas. These 10 nsSNPs are also predicted to affect the post-translational modifications of Wnt1. Further, structure based stability analyses of these 10 highly deleterious nsSNPs revealed 8 variants as highly destabilizing. These 8 highly destabilizing variants were shown to have high BC score and high RMSIP score from normal mode analyses. Based on the deformation energies, obtained from the normal mode analyses, variants like G169A, G169S, G331R and G331S were found to be unstable. Molecular Dynamics (MD) simulations revealed structural stability and fluctuation of WT Wnt1 and its prioritized variants. RMSD remained fluctuating mostly between 4 and 5 Å and occasionally between 3.5 and 5.5 Å ranges. RMSF in the CTD region (residues 330–360) of the binding pocket were lower compared to that of WT. Studying the impacts of nsSNPs on the binding interface of Wnt1 and seven Frizzled receptors have predicted substitutions which can stabilize or destabilize the binding interface. We have found that Wnt1 and FZD8-CRD is the best docked complex in our study. MD simulation based analyses of wild type Wnt1-FZD8-CRD complex and the 8 prioritized variants revealed that RMSF was higher in the unstructured regions and RMSD remained fluctuating in the region of 5 Å ± 1 Å. We have also observed differential
Wnt1
gene expression pattern in normal, tumor and metastatic conditions across different tissues.
Wnt1
gene expression was significantly higher in metastatic tissues of lungs, colon and skin; and was significantly lower in metastatic tissues of breast, esophagus and kidney. We have also found that Wnt1 deregulation is associated with survival outcome in patients with gastric and breast cancer. Furthermore, these computationally screened highly deleterious nsSNPs of
Wnt1
can be analyzed in population based genetic studies and may help understand the Wnt1 associated diseases.</description><subject>631/114</subject><subject>631/337</subject><subject>631/535</subject><subject>631/553</subject><subject>Carcinogenesis</subject><subject>Computational Biology</subject><subject>Frizzled Receptors - genetics</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Molecular Dynamics Simulation</subject><subject>multidisciplinary</subject><subject>Polymorphism, Single Nucleotide</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Wnt1 Protein - chemistry</subject><subject>Wnt1 Protein - genetics</subject><subject>Wnt1 Protein - metabolism</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9ks1u1DAUhSMEolXpC7BAXrIg4N8k3iChqoWRKkACxNJyHCf1yGMPvs7QmafhUXGbUrUbvLmW7znfta5OVb0k-C3BrHsHnAjZ1ZjSmkgqZX39pDqmmIuaMkqfPrgfVacAa1yOoJIT-bw6Yg0WDWH0uPqzCgicdyYiHbTfgwUUR_QzZIICfPv8FVCyO6s9gpxmk-ekvd-jwULWffEdXJjQTienQ4Y3SPtskx2QC6Vqk10MgH67fIUukjscfGkla-w2xwRlYBFmKLBkp9nrG3VxojxvYnKTDRYcvKiejdqDPb2rJ9WPi_PvZ5_qyy8fV2cfLmsjCM31yLkw_ai5ZJ3oCB6I5oMRYuhsTwihDeGm1XIUeJRN3xCjOel70pGembIWwU6q1cIdol6rbXIbnfYqaqduH2KalE7ZGW8VtqwlTA-U8paPZQQem7HTbGBy4J2QhfV-YW3nfmMHY0Mua3sEfdwJ7kpNcack5xjztgBe3wFS_DWXXauNA2O918HGGRRtsWxZx0lTpHSRmhQBkh3vxxCsbpKilqSokhR1mxR1XUyvHn7w3vIvF0XAFgGUVphsUus4pxIQ-B_2L6aizsU</recordid><startdate>20220902</startdate><enddate>20220902</enddate><creator>Mondal, Amalesh</creator><creator>Paul, Debarati</creator><creator>Dastidar, Shubhra Ghosh</creator><creator>Saha, Tanima</creator><creator>Goswami, Achintya Mohan</creator><general>Nature Publishing Group UK</general><general>Nature Portfolio</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20220902</creationdate><title>In silico analyses of Wnt1 nsSNPs reveal structurally destabilizing variants, altered interactions with Frizzled receptors and its deregulation in tumorigenesis</title><author>Mondal, Amalesh ; Paul, Debarati ; Dastidar, Shubhra Ghosh ; Saha, Tanima ; Goswami, Achintya Mohan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c512t-f445cbfa49385810d1a4dc55d8eb1112614c7a9f50f96b61ca41bb181b3c52953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>631/114</topic><topic>631/337</topic><topic>631/535</topic><topic>631/553</topic><topic>Carcinogenesis</topic><topic>Computational Biology</topic><topic>Frizzled Receptors - genetics</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Molecular Dynamics Simulation</topic><topic>multidisciplinary</topic><topic>Polymorphism, Single Nucleotide</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Wnt1 Protein - chemistry</topic><topic>Wnt1 Protein - genetics</topic><topic>Wnt1 Protein - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mondal, Amalesh</creatorcontrib><creatorcontrib>Paul, Debarati</creatorcontrib><creatorcontrib>Dastidar, Shubhra Ghosh</creatorcontrib><creatorcontrib>Saha, Tanima</creatorcontrib><creatorcontrib>Goswami, Achintya Mohan</creatorcontrib><collection>SpringerOpen</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mondal, Amalesh</au><au>Paul, Debarati</au><au>Dastidar, Shubhra Ghosh</au><au>Saha, Tanima</au><au>Goswami, Achintya Mohan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico analyses of Wnt1 nsSNPs reveal structurally destabilizing variants, altered interactions with Frizzled receptors and its deregulation in tumorigenesis</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2022-09-02</date><risdate>2022</risdate><volume>12</volume><issue>1</issue><spage>14934</spage><epage>18</epage><pages>14934-18</pages><artnum>14934</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Wnt1 is the first mammalian
Wnt
gene, which is discovered as proto-oncogene and in human the gene is located on the chromosome 12q13. Mutations in
Wnt1
are reported to be associated with various cancers and other human diseases. The structural and functional consequences of most of the non-synonymous SNPs (nsSNPs), present in the human
Wnt1
gene, are not known. In the present work, extensive bioinformatics analyses are used to screen 292 nsSNPs of
Wnt1
for predicting pathogenic and harmless polymorphisms. We have identified 10 highly deleterious nsSNPs among which 7 are located within the highly conserved areas. These 10 nsSNPs are also predicted to affect the post-translational modifications of Wnt1. Further, structure based stability analyses of these 10 highly deleterious nsSNPs revealed 8 variants as highly destabilizing. These 8 highly destabilizing variants were shown to have high BC score and high RMSIP score from normal mode analyses. Based on the deformation energies, obtained from the normal mode analyses, variants like G169A, G169S, G331R and G331S were found to be unstable. Molecular Dynamics (MD) simulations revealed structural stability and fluctuation of WT Wnt1 and its prioritized variants. RMSD remained fluctuating mostly between 4 and 5 Å and occasionally between 3.5 and 5.5 Å ranges. RMSF in the CTD region (residues 330–360) of the binding pocket were lower compared to that of WT. Studying the impacts of nsSNPs on the binding interface of Wnt1 and seven Frizzled receptors have predicted substitutions which can stabilize or destabilize the binding interface. We have found that Wnt1 and FZD8-CRD is the best docked complex in our study. MD simulation based analyses of wild type Wnt1-FZD8-CRD complex and the 8 prioritized variants revealed that RMSF was higher in the unstructured regions and RMSD remained fluctuating in the region of 5 Å ± 1 Å. We have also observed differential
Wnt1
gene expression pattern in normal, tumor and metastatic conditions across different tissues.
Wnt1
gene expression was significantly higher in metastatic tissues of lungs, colon and skin; and was significantly lower in metastatic tissues of breast, esophagus and kidney. We have also found that Wnt1 deregulation is associated with survival outcome in patients with gastric and breast cancer. Furthermore, these computationally screened highly deleterious nsSNPs of
Wnt1
can be analyzed in population based genetic studies and may help understand the Wnt1 associated diseases.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>36056132</pmid><doi>10.1038/s41598-022-19299-x</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 631/114 631/337 631/535 631/553 Carcinogenesis Computational Biology Frizzled Receptors - genetics Humanities and Social Sciences Humans Molecular Dynamics Simulation multidisciplinary Polymorphism, Single Nucleotide Science Science (multidisciplinary) Wnt1 Protein - chemistry Wnt1 Protein - genetics Wnt1 Protein - metabolism |
title | In silico analyses of Wnt1 nsSNPs reveal structurally destabilizing variants, altered interactions with Frizzled receptors and its deregulation in tumorigenesis |
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