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

Gespeichert in:

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]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Endocrine disorders Neurological disorders Systems biology Biomarkers HLA-DRB1

Übergeordnetes Werk:	In: Informatics in Medicine Unlocked - Elsevier, 2017, 28(2022), Seite 100866-
Übergeordnetes Werk:	volume:28 ; year:2022 ; pages:100866-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.imu.2022.100866

Katalog-ID:	DOAJ014538695

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ014538695
003	DE-627
005	20230310065529.0
007	cr uuu---uuuuu
008	230226s2022 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.imu.2022.100866 \|2 doi
035			\|a (DE-627)DOAJ014538695
035			\|a (DE-599)DOAJ2f3f2969ff0d4d2b8174bdf9fa3fb416
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a R858-859.7
100	0		\|a Mohammad Uzzal Hossain \|e verfasserin \|4 aut
245	1	0	\|a Protein-protein interactions network model underlines a link between hormonal and neurological disorders
264		1	\|c 2022
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
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.
650		4	\|a Endocrine disorders
650		4	\|a Neurological disorders
650		4	\|a Systems biology
650		4	\|a Biomarkers
650		4	\|a HLA-DRB1
653		0	\|a Computer applications to medicine. Medical informatics
700	0		\|a Ishtiaque Ahammad \|e verfasserin \|4 aut
700	0		\|a Arittra Bhattacharjee \|e verfasserin \|4 aut
700	0		\|a Zeshan Mahmud Chowdhury \|e verfasserin \|4 aut
700	0		\|a Anisur Rahman \|e verfasserin \|4 aut
700	0		\|a Tahia Anan Rahman \|e verfasserin \|4 aut
700	0		\|a Taimur Md Omar \|e verfasserin \|4 aut
700	0		\|a Mohammad Kamrul Hasan \|e verfasserin \|4 aut
700	0		\|a Md Nazrul Islam \|e verfasserin \|4 aut
700	0		\|a Md Tabassum Hossain Emon \|e verfasserin \|4 aut
700	0		\|a Keshob Chandra Das \|e verfasserin \|4 aut
700	0		\|a Chaman Ara Keya \|e verfasserin \|4 aut
700	0		\|a Md Salimullah \|e verfasserin \|4 aut
773	0	8	\|i In \|t Informatics in Medicine Unlocked \|d Elsevier, 2017 \|g 28(2022), Seite 100866- \|w (DE-627)857725165 \|w (DE-600)2854226-5 \|x 23529148 \|7 nnns
773	1	8	\|g volume:28 \|g year:2022 \|g pages:100866-
856	4	0	\|u https://doi.org/10.1016/j.imu.2022.100866 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/2f3f2969ff0d4d2b8174bdf9fa3fb416 \|z kostenfrei
856	4	0	\|u http://www.sciencedirect.com/science/article/pii/S235291482200020X \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2352-9148 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2008
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 28 \|j 2022 \|h 100866-

Indexfelder

author_variant	m u h muh i a ia a b ab z m c zmc a r ar t a r tar t m o tmo m k h mkh m n i mni m t h e mthe k c d kcd c a k cak m s ms
matchkey_str	article:23529148:2022----::rtipoenneatosewrmdlnelnslnbtenomnl
hierarchy_sort_str	2022
callnumber-subject-code	R
publishDate	2022
allfields	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	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-
allfieldsGer	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-
allfieldsSound	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-
language	English
source	In Informatics in Medicine Unlocked 28(2022), Seite 100866- volume:28 year:2022 pages:100866-
sourceStr	In Informatics in Medicine Unlocked 28(2022), Seite 100866- volume:28 year:2022 pages:100866-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Endocrine disorders Neurological disorders Systems biology Biomarkers HLA-DRB1 Computer applications to medicine. Medical informatics
isfreeaccess_bool	true
container_title	Informatics in Medicine Unlocked
authorswithroles_txt_mv	Mohammad Uzzal Hossain @@aut@@ Ishtiaque Ahammad @@aut@@ Arittra Bhattacharjee @@aut@@ Zeshan Mahmud Chowdhury @@aut@@ Anisur Rahman @@aut@@ Tahia Anan Rahman @@aut@@ Taimur Md Omar @@aut@@ Mohammad Kamrul Hasan @@aut@@ Md Nazrul Islam @@aut@@ Md Tabassum Hossain Emon @@aut@@ Keshob Chandra Das @@aut@@ Chaman Ara Keya @@aut@@ Md Salimullah @@aut@@
publishDateDaySort_date	2022-01-01T00:00:00Z
hierarchy_top_id	857725165
id	DOAJ014538695
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ014538695</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310065529.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.imu.2022.100866</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ014538695</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ2f3f2969ff0d4d2b8174bdf9fa3fb416</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">R858-859.7</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Mohammad Uzzal Hossain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Protein-protein interactions network model underlines a link between hormonal and neurological disorders</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</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. Medical informatics</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ishtiaque Ahammad</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Arittra Bhattacharjee</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zeshan Mahmud Chowdhury</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Anisur Rahman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tahia Anan Rahman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Taimur Md Omar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mohammad Kamrul Hasan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Md Nazrul Islam</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Md Tabassum Hossain Emon</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Keshob Chandra Das</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chaman Ara Keya</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Md Salimullah</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Informatics in Medicine Unlocked</subfield><subfield code="d">Elsevier, 2017</subfield><subfield code="g">28(2022), Seite 100866-</subfield><subfield code="w">(DE-627)857725165</subfield><subfield code="w">(DE-600)2854226-5</subfield><subfield code="x">23529148</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:28</subfield><subfield code="g">year:2022</subfield><subfield code="g">pages:100866-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.imu.2022.100866</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/2f3f2969ff0d4d2b8174bdf9fa3fb416</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S235291482200020X</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2352-9148</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">28</subfield><subfield code="j">2022</subfield><subfield code="h">100866-</subfield></datafield></record></collection>
callnumber-first	R - Medicine
author	Mohammad Uzzal Hossain
spellingShingle	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
authorStr	Mohammad Uzzal Hossain
ppnlink_with_tag_str_mv	@@773@@(DE-627)857725165
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut aut aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	R858-859
illustrated	Not Illustrated
issn	23529148
topic_title	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
topic	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
topic_unstemmed	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
topic_browse	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
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Informatics in Medicine Unlocked
hierarchy_parent_id	857725165
hierarchy_top_title	Informatics in Medicine Unlocked
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)857725165 (DE-600)2854226-5
title	Protein-protein interactions network model underlines a link between hormonal and neurological disorders
ctrlnum	(DE-627)DOAJ014538695 (DE-599)DOAJ2f3f2969ff0d4d2b8174bdf9fa3fb416
title_full	Protein-protein interactions network model underlines a link between hormonal and neurological disorders
author_sort	Mohammad Uzzal Hossain
journal	Informatics in Medicine Unlocked
journalStr	Informatics in Medicine Unlocked
callnumber-first-code	R
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2022
contenttype_str_mv	txt
container_start_page	100866
author_browse	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
container_volume	28
class	R858-859.7
format_se	Elektronische Aufsätze
author-letter	Mohammad Uzzal Hossain
doi_str_mv	10.1016/j.imu.2022.100866
author2-role	verfasserin
title_sort	protein-protein interactions network model underlines a link between hormonal and neurological disorders
callnumber	R858-859.7
title_auth	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.
collection_details	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
title_short	Protein-protein interactions network model underlines a link between hormonal and neurological disorders
url	https://doi.org/10.1016/j.imu.2022.100866 https://doaj.org/article/2f3f2969ff0d4d2b8174bdf9fa3fb416 http://www.sciencedirect.com/science/article/pii/S235291482200020X https://doaj.org/toc/2352-9148
remote_bool	true
author2	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
author2Str	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
ppnlink	857725165
callnumber-subject	R - General Medicine
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.imu.2022.100866
callnumber-a	R858-859.7
up_date	2024-07-03T23:29:44.154Z
_version_	1803602503039713280
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ014538695</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230310065529.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.imu.2022.100866</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ014538695</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ2f3f2969ff0d4d2b8174bdf9fa3fb416</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">R858-859.7</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Mohammad Uzzal Hossain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Protein-protein interactions network model underlines a link between hormonal and neurological disorders</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="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.</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. Medical informatics</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ishtiaque Ahammad</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Arittra Bhattacharjee</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Zeshan Mahmud Chowdhury</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Anisur Rahman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tahia Anan Rahman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Taimur Md Omar</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Mohammad Kamrul Hasan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Md Nazrul Islam</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Md Tabassum Hossain Emon</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Keshob Chandra Das</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Chaman Ara Keya</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Md Salimullah</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Informatics in Medicine Unlocked</subfield><subfield code="d">Elsevier, 2017</subfield><subfield code="g">28(2022), Seite 100866-</subfield><subfield code="w">(DE-627)857725165</subfield><subfield code="w">(DE-600)2854226-5</subfield><subfield code="x">23529148</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:28</subfield><subfield code="g">year:2022</subfield><subfield code="g">pages:100866-</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.imu.2022.100866</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/2f3f2969ff0d4d2b8174bdf9fa3fb416</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://www.sciencedirect.com/science/article/pii/S235291482200020X</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2352-9148</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2008</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">28</subfield><subfield code="j">2022</subfield><subfield code="h">100866-</subfield></datafield></record></collection>
score	7.4015017

Nicht das Richtige dabei?

Schreiben Sie uns!

Protein-protein interactions network model underlines a link between hormonal and neurological disorders

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?