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Whole‐transcriptome sequencing identifies neuroinflammation, metabolism and blood–brain barrier related processes in the hippocampus of aged mice during perioperative period

AIM: Perioperative neurocognitive disorders (PND) occur frequently after surgery and anesthesia, especially in aged patients. Previous studies have shown multiple PND related mechanisms in the hippocampus; however, their relationships remain unclear. Meanwhile, the perioperative neuropathological pr...

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Autores principales: Suo, Zizheng, Yang, Jing, Zhou, Bowen, Qu, Yinyin, Xu, Wenjie, Li, Min, Xiao, Ting, Zheng, Hui, Ni, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437242/
https://www.ncbi.nlm.nih.gov/pubmed/35899365
http://dx.doi.org/10.1111/cns.13901
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author Suo, Zizheng
Yang, Jing
Zhou, Bowen
Qu, Yinyin
Xu, Wenjie
Li, Min
Xiao, Ting
Zheng, Hui
Ni, Cheng
author_facet Suo, Zizheng
Yang, Jing
Zhou, Bowen
Qu, Yinyin
Xu, Wenjie
Li, Min
Xiao, Ting
Zheng, Hui
Ni, Cheng
author_sort Suo, Zizheng
collection PubMed
description AIM: Perioperative neurocognitive disorders (PND) occur frequently after surgery and anesthesia, especially in aged patients. Previous studies have shown multiple PND related mechanisms in the hippocampus; however, their relationships remain unclear. Meanwhile, the perioperative neuropathological processes are sophisticated and changeable, single period study could not reveal the accurate mechanisms. Thus, multiperiod whole‐transcriptome study is necessary to elucidate the gene expression patterns during perioperative period. METHODS: Aged C57BL/6 mice were subjected to exploratory laparotomy under sevoflurane anesthesia. Whole‐transcriptome sequencing (RNA‐seq analysis) was performed on the hippocampi from control condition (Con), 30 min (Day0), 2 days (Day2), and 7 days (Day7) after surgery. Gene Ontology/Kyoto Encyclopedia of Genes and Genomes analyses, quantitative real‐time PCR, immunofluorescence, and fear conditioning test were also performed to elucidate the pathological processes and modulation networks during the period. RESULTS: Through RNA‐seq analysis, 328, 3597, and 4179 differentially expressed genes (DEGs) were screened out in intraoperative period (Day0 vs. Con), early postoperative period (Day2 vs. Day0), and late postoperative period (Day7 vs. Day2). The involved GO biological processes were divided into 9 categories, and positive‐regulated processes were more than negative‐regulated ones. Seventy‐four transcription factors were highlighted. The potential synaptic and neuroinflammatory pathways were constructed for Neurotransmitter, Synapse and Neuronal alteration categories with 9 genes (Htr1a, Rims1, and Ezh2, etc.). The metabolic and mitochondrial pathways were constructed for metabolism, oxidative stress, and biological rhythm categories with 9 genes (Gpld1, Sirt1, and Cry2, etc.). The blood–brain barrier and neurotoxicity related pathways were constructed for blood–brain barrier, neurotoxicity, and cognitive function categories with 10 genes (Mmp2, Itpr1, and Nrf1, etc.). CONCLUSION: The results revealed gene expression patterns and modulation networks in the aged hippocampus during perioperative period, which provide insights into overall mechanisms and potential therapeutic targets for prevention and treatment of perioperative central nervous system diseases, such as PND, from the genetic level.
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spelling pubmed-94372422022-09-09 Whole‐transcriptome sequencing identifies neuroinflammation, metabolism and blood–brain barrier related processes in the hippocampus of aged mice during perioperative period Suo, Zizheng Yang, Jing Zhou, Bowen Qu, Yinyin Xu, Wenjie Li, Min Xiao, Ting Zheng, Hui Ni, Cheng CNS Neurosci Ther Original Articles AIM: Perioperative neurocognitive disorders (PND) occur frequently after surgery and anesthesia, especially in aged patients. Previous studies have shown multiple PND related mechanisms in the hippocampus; however, their relationships remain unclear. Meanwhile, the perioperative neuropathological processes are sophisticated and changeable, single period study could not reveal the accurate mechanisms. Thus, multiperiod whole‐transcriptome study is necessary to elucidate the gene expression patterns during perioperative period. METHODS: Aged C57BL/6 mice were subjected to exploratory laparotomy under sevoflurane anesthesia. Whole‐transcriptome sequencing (RNA‐seq analysis) was performed on the hippocampi from control condition (Con), 30 min (Day0), 2 days (Day2), and 7 days (Day7) after surgery. Gene Ontology/Kyoto Encyclopedia of Genes and Genomes analyses, quantitative real‐time PCR, immunofluorescence, and fear conditioning test were also performed to elucidate the pathological processes and modulation networks during the period. RESULTS: Through RNA‐seq analysis, 328, 3597, and 4179 differentially expressed genes (DEGs) were screened out in intraoperative period (Day0 vs. Con), early postoperative period (Day2 vs. Day0), and late postoperative period (Day7 vs. Day2). The involved GO biological processes were divided into 9 categories, and positive‐regulated processes were more than negative‐regulated ones. Seventy‐four transcription factors were highlighted. The potential synaptic and neuroinflammatory pathways were constructed for Neurotransmitter, Synapse and Neuronal alteration categories with 9 genes (Htr1a, Rims1, and Ezh2, etc.). The metabolic and mitochondrial pathways were constructed for metabolism, oxidative stress, and biological rhythm categories with 9 genes (Gpld1, Sirt1, and Cry2, etc.). The blood–brain barrier and neurotoxicity related pathways were constructed for blood–brain barrier, neurotoxicity, and cognitive function categories with 10 genes (Mmp2, Itpr1, and Nrf1, etc.). CONCLUSION: The results revealed gene expression patterns and modulation networks in the aged hippocampus during perioperative period, which provide insights into overall mechanisms and potential therapeutic targets for prevention and treatment of perioperative central nervous system diseases, such as PND, from the genetic level. John Wiley and Sons Inc. 2022-07-27 /pmc/articles/PMC9437242/ /pubmed/35899365 http://dx.doi.org/10.1111/cns.13901 Text en © 2022 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Suo, Zizheng
Yang, Jing
Zhou, Bowen
Qu, Yinyin
Xu, Wenjie
Li, Min
Xiao, Ting
Zheng, Hui
Ni, Cheng
Whole‐transcriptome sequencing identifies neuroinflammation, metabolism and blood–brain barrier related processes in the hippocampus of aged mice during perioperative period
title Whole‐transcriptome sequencing identifies neuroinflammation, metabolism and blood–brain barrier related processes in the hippocampus of aged mice during perioperative period
title_full Whole‐transcriptome sequencing identifies neuroinflammation, metabolism and blood–brain barrier related processes in the hippocampus of aged mice during perioperative period
title_fullStr Whole‐transcriptome sequencing identifies neuroinflammation, metabolism and blood–brain barrier related processes in the hippocampus of aged mice during perioperative period
title_full_unstemmed Whole‐transcriptome sequencing identifies neuroinflammation, metabolism and blood–brain barrier related processes in the hippocampus of aged mice during perioperative period
title_short Whole‐transcriptome sequencing identifies neuroinflammation, metabolism and blood–brain barrier related processes in the hippocampus of aged mice during perioperative period
title_sort whole‐transcriptome sequencing identifies neuroinflammation, metabolism and blood–brain barrier related processes in the hippocampus of aged mice during perioperative period
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9437242/
https://www.ncbi.nlm.nih.gov/pubmed/35899365
http://dx.doi.org/10.1111/cns.13901
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