Proteostasis networks in aging: novel insights from text-mining approaches

Diogo Neves; Sara Duarte-Pereira; Sérgio Matos; Raquel M. Silva

doi:10.1007/s10522-023-10027-0

Proteostasis networks in aging: novel insights from text-mining approaches

Diogo Neves, Sara Duarte-Pereira, Sérgio Matos, Raquel M. Silva

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Abstract

Aging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis (proteostasis) decline is a hallmark in aging and several age-related diseases, but which specific proteins and mechanisms are involved in proteostasis (de)regulation during the aging process remain largely unknown. Here, we used different text-mining tools complemented with protein–protein interaction data to address this complex topic. Analysis of the integrated protein interaction networks identified novel proteins and pathways associated to proteostasis mechanisms and aging or age-related disorders, indicating that this approach is useful to identify previously unknown links and for retrieving information of potential novel biomarkers or therapeutic targets.

Original language	English
Pages (from-to)	555-562
Number of pages	8
Journal	Biogerontology
Volume	24
Issue number	4
DOIs	https://doi.org/10.1007/s10522-023-10027-0
Publication status	Published - Aug 2023

Keywords

Protein aggregation
Protein–protein interactions
Inflammasome
NAD metabolism
EGAS

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/s10522-023-10027-0Licence: CC BY

66520122Final published version, 821 KBLicence: CC BY

http://hdl.handle.net/10400.14/40776Licence: CC BY

Cite this

@article{b4e7b9a8f0984ea58e6fd5424ebb8db7,

title = "Proteostasis networks in aging: novel insights from text-mining approaches",

abstract = "Aging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis (proteostasis) decline is a hallmark in aging and several age-related diseases, but which specific proteins and mechanisms are involved in proteostasis (de)regulation during the aging process remain largely unknown. Here, we used different text-mining tools complemented with protein–protein interaction data to address this complex topic. Analysis of the integrated protein interaction networks identified novel proteins and pathways associated to proteostasis mechanisms and aging or age-related disorders, indicating that this approach is useful to identify previously unknown links and for retrieving information of potential novel biomarkers or therapeutic targets.",

keywords = "Protein aggregation, Protein–protein interactions, Inflammasome, NAD metabolism, EGAS",

author = "Diogo Neves and Sara Duarte-Pereira and S{\'e}rgio Matos and Silva, {Raquel M.}",

note = "Funding Information: This work was supported by FEDER (Programa Operacional Factores de Competitividade—COMPETE) and by FCT (Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia), within the projects UIDB/04501/2020 (POCI-01-0145-FEDER-007628) to iBiMED and UIDB/04279/2020 to CIIS, and the grants SFRH/BD/129409/2017 and SFRH/BD/108890/2015 to DN and SDP, respectively. Thanks are due to FCT/MCTES and UCP for the CEEC institutional funding of RMS (CEECINST/00137/2018/CP1520/CT0012). Funding Information: This work was supported by FEDER (Programa Operacional Factores de Competitividade—COMPETE) and by FCT (Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia), within the projects UIDB/04501/2020 (POCI-01-0145-FEDER-007628) to iBiMED and UIDB/04279/2020 to CIIS, and the grants SFRH/BD/129409/2017 and SFRH/BD/108890/2015 to DN and SDP, respectively. Thanks are due to FCT/MCTES and UCP for the CEEC institutional funding of RMS (CEECINST/00137/2018/CP1520/CT0012). Publisher Copyright: {\textcopyright} 2023, The Author(s).",

year = "2023",

month = aug,

doi = "10.1007/s10522-023-10027-0",

language = "English",

volume = "24",

pages = "555--562",

journal = "Biogerontology",

issn = "1389-5729",

publisher = "Springer Netherlands",

number = "4",

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TY - JOUR

T1 - Proteostasis networks in aging

T2 - novel insights from text-mining approaches

AU - Neves, Diogo

AU - Duarte-Pereira, Sara

AU - Matos, Sérgio

AU - Silva, Raquel M.

N1 - Funding Information: This work was supported by FEDER (Programa Operacional Factores de Competitividade—COMPETE) and by FCT (Fundação para a Ciência e Tecnologia), within the projects UIDB/04501/2020 (POCI-01-0145-FEDER-007628) to iBiMED and UIDB/04279/2020 to CIIS, and the grants SFRH/BD/129409/2017 and SFRH/BD/108890/2015 to DN and SDP, respectively. Thanks are due to FCT/MCTES and UCP for the CEEC institutional funding of RMS (CEECINST/00137/2018/CP1520/CT0012). Funding Information: This work was supported by FEDER (Programa Operacional Factores de Competitividade—COMPETE) and by FCT (Fundação para a Ciência e Tecnologia), within the projects UIDB/04501/2020 (POCI-01-0145-FEDER-007628) to iBiMED and UIDB/04279/2020 to CIIS, and the grants SFRH/BD/129409/2017 and SFRH/BD/108890/2015 to DN and SDP, respectively. Thanks are due to FCT/MCTES and UCP for the CEEC institutional funding of RMS (CEECINST/00137/2018/CP1520/CT0012). Publisher Copyright: © 2023, The Author(s).

PY - 2023/8

Y1 - 2023/8

N2 - Aging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis (proteostasis) decline is a hallmark in aging and several age-related diseases, but which specific proteins and mechanisms are involved in proteostasis (de)regulation during the aging process remain largely unknown. Here, we used different text-mining tools complemented with protein–protein interaction data to address this complex topic. Analysis of the integrated protein interaction networks identified novel proteins and pathways associated to proteostasis mechanisms and aging or age-related disorders, indicating that this approach is useful to identify previously unknown links and for retrieving information of potential novel biomarkers or therapeutic targets.

AB - Aging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis (proteostasis) decline is a hallmark in aging and several age-related diseases, but which specific proteins and mechanisms are involved in proteostasis (de)regulation during the aging process remain largely unknown. Here, we used different text-mining tools complemented with protein–protein interaction data to address this complex topic. Analysis of the integrated protein interaction networks identified novel proteins and pathways associated to proteostasis mechanisms and aging or age-related disorders, indicating that this approach is useful to identify previously unknown links and for retrieving information of potential novel biomarkers or therapeutic targets.

KW - Protein aggregation

KW - Protein–protein interactions

KW - Inflammasome

KW - NAD metabolism

KW - EGAS

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U2 - 10.1007/s10522-023-10027-0

DO - 10.1007/s10522-023-10027-0

M3 - Article

C2 - 37004691

SN - 1389-5729

VL - 24

SP - 555

EP - 562

JO - Biogerontology

JF - Biogerontology

IS - 4

ER -

Proteostasis networks in aging: novel insights from text-mining approaches

Abstract

Keywords

UN SDGs

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CIIS: Center for Interdisciplinary Research in Health

Cite this

Proteostasis networks in aging: novel insights from text-mining approaches

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

CIIS: Center for Interdisciplinary Research in Health

Cite this