Protein-protein interactions network model underlines a link between hormonal and neurological disorders
Gland and Hormonal Diseases (GHDs) constitute a class of non-communicable diseases that primarily results from either excessive or reduced secretion of hormones. Many of these diseases also have neurological manifestations. The need for their molecular understanding and subsequent effective drug tar...
Ausführliche Beschreibung
Autor*in: |
Mohammad Uzzal Hossain [verfasserIn] Ishtiaque Ahammad [verfasserIn] Arittra Bhattacharjee [verfasserIn] Zeshan Mahmud Chowdhury [verfasserIn] Anisur Rahman [verfasserIn] Tahia Anan Rahman [verfasserIn] Taimur Md Omar [verfasserIn] Mohammad Kamrul Hasan [verfasserIn] Md Nazrul Islam [verfasserIn] Md Tabassum Hossain Emon [verfasserIn] Keshob Chandra Das [verfasserIn] Chaman Ara Keya [verfasserIn] Md Salimullah [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Übergeordnetes Werk: |
In: Informatics in Medicine Unlocked - Elsevier, 2017, 28(2022), Seite 100866- |
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Übergeordnetes Werk: |
volume:28 ; year:2022 ; pages:100866- |
Links: |
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DOI / URN: |
10.1016/j.imu.2022.100866 |
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Katalog-ID: |
DOAJ014538695 |
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520 | |a Gland and Hormonal Diseases (GHDs) constitute a class of non-communicable diseases that primarily results from either excessive or reduced secretion of hormones. Many of these diseases also have neurological manifestations. The need for their molecular understanding and subsequent effective drug target identification is paramount. Here, we have constructed Protein-Protein Interactions (PPI) networks by integrating intricate genomic and proteomic data available on various GHDs. From the network, hub proteins, key pathways, and gene ontologies were derived. The members of this network were then investigated for unraveling strong association with neurological disorders and a network of neurological disorder-associated genes was also constructed. Functional clusters in both the GHDs and neurological disorders were analyzed and compared. Based on our analyses, we have identified CBS, GJB2, KCNJ10, ERCC6, IGF1, HFE, GJB2, SOX2, SOX4, NTRK1, SOX9, BRCA1 and ERCC4 as common players in GHDs and neurological disorders. Hub proteins of GHDs include IGF1, TGFB1, JUN, and SMAD3 and those of neurological disorders include INS and IL6. These proteins could be considered as potential biomarkers. Our analysis suggest that perturbations in DNA damage repair, glucocorticoid hormone metabolism, interferon gamma mediated signaling pathway, and immune system regulation might promote GHDs while oxidative stress can do the same for neurological disorders. TGFB1 and SMAD3 agonists possess therapeutics potential against Alzheimer's disease. HLA-DRB1, HLA-DQB1 and TNF might have special role in either type of diseases. This study will pave the way for identification of biomarkers, drug targets and provide explanations regarding molecular and immunological pathogenesis in GHD-induced neurological disorders. | ||
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10.1016/j.imu.2022.100866 doi (DE-627)DOAJ014538695 (DE-599)DOAJ2f3f2969ff0d4d2b8174bdf9fa3fb416 DE-627 ger DE-627 rakwb eng R858-859.7 Mohammad Uzzal Hossain verfasserin aut Protein-protein interactions network model underlines a link between hormonal and neurological disorders 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gland and Hormonal Diseases (GHDs) constitute a class of non-communicable diseases that primarily results from either excessive or reduced secretion of hormones. Many of these diseases also have neurological manifestations. The need for their molecular understanding and subsequent effective drug target identification is paramount. Here, we have constructed Protein-Protein Interactions (PPI) networks by integrating intricate genomic and proteomic data available on various GHDs. From the network, hub proteins, key pathways, and gene ontologies were derived. The members of this network were then investigated for unraveling strong association with neurological disorders and a network of neurological disorder-associated genes was also constructed. Functional clusters in both the GHDs and neurological disorders were analyzed and compared. Based on our analyses, we have identified CBS, GJB2, KCNJ10, ERCC6, IGF1, HFE, GJB2, SOX2, SOX4, NTRK1, SOX9, BRCA1 and ERCC4 as common players in GHDs and neurological disorders. Hub proteins of GHDs include IGF1, TGFB1, JUN, and SMAD3 and those of neurological disorders include INS and IL6. These proteins could be considered as potential biomarkers. Our analysis suggest that perturbations in DNA damage repair, glucocorticoid hormone metabolism, interferon gamma mediated signaling pathway, and immune system regulation might promote GHDs while oxidative stress can do the same for neurological disorders. TGFB1 and SMAD3 agonists possess therapeutics potential against Alzheimer's disease. HLA-DRB1, HLA-DQB1 and TNF might have special role in either type of diseases. This study will pave the way for identification of biomarkers, drug targets and provide explanations regarding molecular and immunological pathogenesis in GHD-induced neurological disorders. Endocrine disorders Neurological disorders Systems biology Biomarkers HLA-DRB1 Computer applications to medicine. Medical informatics Ishtiaque Ahammad verfasserin aut Arittra Bhattacharjee verfasserin aut Zeshan Mahmud Chowdhury verfasserin aut Anisur Rahman verfasserin aut Tahia Anan Rahman verfasserin aut Taimur Md Omar verfasserin aut Mohammad Kamrul Hasan verfasserin aut Md Nazrul Islam verfasserin aut Md Tabassum Hossain Emon verfasserin aut Keshob Chandra Das verfasserin aut Chaman Ara Keya verfasserin aut Md Salimullah verfasserin aut In Informatics in Medicine Unlocked Elsevier, 2017 28(2022), Seite 100866- (DE-627)857725165 (DE-600)2854226-5 23529148 nnns volume:28 year:2022 pages:100866- https://doi.org/10.1016/j.imu.2022.100866 kostenfrei https://doaj.org/article/2f3f2969ff0d4d2b8174bdf9fa3fb416 kostenfrei http://www.sciencedirect.com/science/article/pii/S235291482200020X kostenfrei https://doaj.org/toc/2352-9148 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 28 2022 100866- |
spelling |
10.1016/j.imu.2022.100866 doi (DE-627)DOAJ014538695 (DE-599)DOAJ2f3f2969ff0d4d2b8174bdf9fa3fb416 DE-627 ger DE-627 rakwb eng R858-859.7 Mohammad Uzzal Hossain verfasserin aut Protein-protein interactions network model underlines a link between hormonal and neurological disorders 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gland and Hormonal Diseases (GHDs) constitute a class of non-communicable diseases that primarily results from either excessive or reduced secretion of hormones. Many of these diseases also have neurological manifestations. The need for their molecular understanding and subsequent effective drug target identification is paramount. Here, we have constructed Protein-Protein Interactions (PPI) networks by integrating intricate genomic and proteomic data available on various GHDs. From the network, hub proteins, key pathways, and gene ontologies were derived. The members of this network were then investigated for unraveling strong association with neurological disorders and a network of neurological disorder-associated genes was also constructed. Functional clusters in both the GHDs and neurological disorders were analyzed and compared. Based on our analyses, we have identified CBS, GJB2, KCNJ10, ERCC6, IGF1, HFE, GJB2, SOX2, SOX4, NTRK1, SOX9, BRCA1 and ERCC4 as common players in GHDs and neurological disorders. Hub proteins of GHDs include IGF1, TGFB1, JUN, and SMAD3 and those of neurological disorders include INS and IL6. These proteins could be considered as potential biomarkers. Our analysis suggest that perturbations in DNA damage repair, glucocorticoid hormone metabolism, interferon gamma mediated signaling pathway, and immune system regulation might promote GHDs while oxidative stress can do the same for neurological disorders. TGFB1 and SMAD3 agonists possess therapeutics potential against Alzheimer's disease. HLA-DRB1, HLA-DQB1 and TNF might have special role in either type of diseases. This study will pave the way for identification of biomarkers, drug targets and provide explanations regarding molecular and immunological pathogenesis in GHD-induced neurological disorders. Endocrine disorders Neurological disorders Systems biology Biomarkers HLA-DRB1 Computer applications to medicine. Medical informatics Ishtiaque Ahammad verfasserin aut Arittra Bhattacharjee verfasserin aut Zeshan Mahmud Chowdhury verfasserin aut Anisur Rahman verfasserin aut Tahia Anan Rahman verfasserin aut Taimur Md Omar verfasserin aut Mohammad Kamrul Hasan verfasserin aut Md Nazrul Islam verfasserin aut Md Tabassum Hossain Emon verfasserin aut Keshob Chandra Das verfasserin aut Chaman Ara Keya verfasserin aut Md Salimullah verfasserin aut In Informatics in Medicine Unlocked Elsevier, 2017 28(2022), Seite 100866- (DE-627)857725165 (DE-600)2854226-5 23529148 nnns volume:28 year:2022 pages:100866- https://doi.org/10.1016/j.imu.2022.100866 kostenfrei https://doaj.org/article/2f3f2969ff0d4d2b8174bdf9fa3fb416 kostenfrei http://www.sciencedirect.com/science/article/pii/S235291482200020X kostenfrei https://doaj.org/toc/2352-9148 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 28 2022 100866- |
allfields_unstemmed |
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Mohammad Uzzal Hossain |
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Mohammad Uzzal Hossain misc R858-859.7 misc Endocrine disorders misc Neurological disorders misc Systems biology misc Biomarkers misc HLA-DRB1 misc Computer applications to medicine. Medical informatics Protein-protein interactions network model underlines a link between hormonal and neurological disorders |
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R858-859.7 Protein-protein interactions network model underlines a link between hormonal and neurological disorders Endocrine disorders Neurological disorders Systems biology Biomarkers HLA-DRB1 |
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Mohammad Uzzal Hossain Ishtiaque Ahammad Arittra Bhattacharjee Zeshan Mahmud Chowdhury Anisur Rahman Tahia Anan Rahman Taimur Md Omar Mohammad Kamrul Hasan Md Nazrul Islam Md Tabassum Hossain Emon Keshob Chandra Das Chaman Ara Keya Md Salimullah |
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protein-protein interactions network model underlines a link between hormonal and neurological disorders |
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Protein-protein interactions network model underlines a link between hormonal and neurological disorders |
abstract |
Gland and Hormonal Diseases (GHDs) constitute a class of non-communicable diseases that primarily results from either excessive or reduced secretion of hormones. Many of these diseases also have neurological manifestations. The need for their molecular understanding and subsequent effective drug target identification is paramount. Here, we have constructed Protein-Protein Interactions (PPI) networks by integrating intricate genomic and proteomic data available on various GHDs. From the network, hub proteins, key pathways, and gene ontologies were derived. The members of this network were then investigated for unraveling strong association with neurological disorders and a network of neurological disorder-associated genes was also constructed. Functional clusters in both the GHDs and neurological disorders were analyzed and compared. Based on our analyses, we have identified CBS, GJB2, KCNJ10, ERCC6, IGF1, HFE, GJB2, SOX2, SOX4, NTRK1, SOX9, BRCA1 and ERCC4 as common players in GHDs and neurological disorders. Hub proteins of GHDs include IGF1, TGFB1, JUN, and SMAD3 and those of neurological disorders include INS and IL6. These proteins could be considered as potential biomarkers. Our analysis suggest that perturbations in DNA damage repair, glucocorticoid hormone metabolism, interferon gamma mediated signaling pathway, and immune system regulation might promote GHDs while oxidative stress can do the same for neurological disorders. TGFB1 and SMAD3 agonists possess therapeutics potential against Alzheimer's disease. HLA-DRB1, HLA-DQB1 and TNF might have special role in either type of diseases. This study will pave the way for identification of biomarkers, drug targets and provide explanations regarding molecular and immunological pathogenesis in GHD-induced neurological disorders. |
abstractGer |
Gland and Hormonal Diseases (GHDs) constitute a class of non-communicable diseases that primarily results from either excessive or reduced secretion of hormones. Many of these diseases also have neurological manifestations. The need for their molecular understanding and subsequent effective drug target identification is paramount. Here, we have constructed Protein-Protein Interactions (PPI) networks by integrating intricate genomic and proteomic data available on various GHDs. From the network, hub proteins, key pathways, and gene ontologies were derived. The members of this network were then investigated for unraveling strong association with neurological disorders and a network of neurological disorder-associated genes was also constructed. Functional clusters in both the GHDs and neurological disorders were analyzed and compared. Based on our analyses, we have identified CBS, GJB2, KCNJ10, ERCC6, IGF1, HFE, GJB2, SOX2, SOX4, NTRK1, SOX9, BRCA1 and ERCC4 as common players in GHDs and neurological disorders. Hub proteins of GHDs include IGF1, TGFB1, JUN, and SMAD3 and those of neurological disorders include INS and IL6. These proteins could be considered as potential biomarkers. Our analysis suggest that perturbations in DNA damage repair, glucocorticoid hormone metabolism, interferon gamma mediated signaling pathway, and immune system regulation might promote GHDs while oxidative stress can do the same for neurological disorders. TGFB1 and SMAD3 agonists possess therapeutics potential against Alzheimer's disease. HLA-DRB1, HLA-DQB1 and TNF might have special role in either type of diseases. This study will pave the way for identification of biomarkers, drug targets and provide explanations regarding molecular and immunological pathogenesis in GHD-induced neurological disorders. |
abstract_unstemmed |
Gland and Hormonal Diseases (GHDs) constitute a class of non-communicable diseases that primarily results from either excessive or reduced secretion of hormones. Many of these diseases also have neurological manifestations. The need for their molecular understanding and subsequent effective drug target identification is paramount. Here, we have constructed Protein-Protein Interactions (PPI) networks by integrating intricate genomic and proteomic data available on various GHDs. From the network, hub proteins, key pathways, and gene ontologies were derived. The members of this network were then investigated for unraveling strong association with neurological disorders and a network of neurological disorder-associated genes was also constructed. Functional clusters in both the GHDs and neurological disorders were analyzed and compared. Based on our analyses, we have identified CBS, GJB2, KCNJ10, ERCC6, IGF1, HFE, GJB2, SOX2, SOX4, NTRK1, SOX9, BRCA1 and ERCC4 as common players in GHDs and neurological disorders. Hub proteins of GHDs include IGF1, TGFB1, JUN, and SMAD3 and those of neurological disorders include INS and IL6. These proteins could be considered as potential biomarkers. Our analysis suggest that perturbations in DNA damage repair, glucocorticoid hormone metabolism, interferon gamma mediated signaling pathway, and immune system regulation might promote GHDs while oxidative stress can do the same for neurological disorders. TGFB1 and SMAD3 agonists possess therapeutics potential against Alzheimer's disease. HLA-DRB1, HLA-DQB1 and TNF might have special role in either type of diseases. This study will pave the way for identification of biomarkers, drug targets and provide explanations regarding molecular and immunological pathogenesis in GHD-induced neurological disorders. |
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Protein-protein interactions network model underlines a link between hormonal and neurological disorders |
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Many of these diseases also have neurological manifestations. The need for their molecular understanding and subsequent effective drug target identification is paramount. Here, we have constructed Protein-Protein Interactions (PPI) networks by integrating intricate genomic and proteomic data available on various GHDs. From the network, hub proteins, key pathways, and gene ontologies were derived. The members of this network were then investigated for unraveling strong association with neurological disorders and a network of neurological disorder-associated genes was also constructed. Functional clusters in both the GHDs and neurological disorders were analyzed and compared. Based on our analyses, we have identified CBS, GJB2, KCNJ10, ERCC6, IGF1, HFE, GJB2, SOX2, SOX4, NTRK1, SOX9, BRCA1 and ERCC4 as common players in GHDs and neurological disorders. Hub proteins of GHDs include IGF1, TGFB1, JUN, and SMAD3 and those of neurological disorders include INS and IL6. These proteins could be considered as potential biomarkers. Our analysis suggest that perturbations in DNA damage repair, glucocorticoid hormone metabolism, interferon gamma mediated signaling pathway, and immune system regulation might promote GHDs while oxidative stress can do the same for neurological disorders. TGFB1 and SMAD3 agonists possess therapeutics potential against Alzheimer's disease. HLA-DRB1, HLA-DQB1 and TNF might have special role in either type of diseases. This study will pave the way for identification of biomarkers, drug targets and provide explanations regarding molecular and immunological pathogenesis in GHD-induced neurological disorders.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Endocrine disorders</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Neurological disorders</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Systems biology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomarkers</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">HLA-DRB1</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Computer applications to medicine. 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