| Literature DB >> 34990087 |
Yang Liu1, Huiqun Fu1, Tianlong Wang1.
Abstract
The perioperative neurocognitive disorders (PNDs) are one of the most common complications in elderly patients characterized by various forms of cognitive decline after anesthesia and surgery. Although the etiology for PNDs remained unclear, neuroinflammation has been characterized as one of the major causes, especially in the elderly patients. The activation of glial cells including microglia and astrocytes plays a significant role in the inflammatory responses in central nerve system (CNS). Although carefully designed, clinical studies on PNDs showed controversial results. Meanwhile, preclinical studies provided evidence from various levels, including behavior performance, protein levels, and gene expression. In this review, we summarize high-quality studies and recent advances from both clinical and preclinical studies and provide a broad view from the onset of PNDs to its potential therapeutic targets. Future studies are needed to investigate the signaling pathways in PNDs for prevention and treatment, as well as the relationship of PNDs and future neurocognitive dysfunction.Entities:
Keywords: astrocyte; cognitive impairment; microglia; neuroinflammation; perioperative neurocognitive disorders
Mesh:
Year: 2022 PMID: 34990087 PMCID: PMC8928922 DOI: 10.1111/cns.13794
Source DB: PubMed Journal: CNS Neurosci Ther ISSN: 1755-5930 Impact factor: 5.243
Studies concerning perioperative neurocognitive disorders (PNDs)
| References | Type of study | Method | Type of PNDs | Main findings | Conclusions |
|---|---|---|---|---|---|
| MacKenzie et al (2018) | Meta‐analysis | Anesthesia depth | POD | POD (38.0% reduction) | Electroencephalogram‐guided anesthesia is associated with decreased POD |
| Bocskai et al (2020) | Meta‐analysis | Anesthesia depth |
POD POND |
POD (6.7% reduction) PND (3.0% reduction) | BIS‐guided anesthesia reduced rate of POD at 1 day and PND at 12 weeks after anesthesia and surgery |
| Yang et al (2021) | RCT | Anesthesia depth | POD | MoCA score (average 1.24 higher, first 7 days) | Multi‐modal brain monitoring improves postoperative neurocognition. |
| Zhao et al (2020) | RCT | Dexmedetomidine |
POD Delayed Neurocognitive Recovery |
POD (decreased on day 1–3, Delayed neurocognitive recovery (decreased on day 7, | Intraoperative use of dexmedetomidine significantly attenuated the rate of POD and delayed neurocognitive recovery |
| Su, et al, 2016 | RCT | Dexmedetomidine | POD | POD (14.0% reduction, first 7 days) | Use of dexmedetomidine decreases the incidence of POD in ICU in patients >65 yrs undergoing non‐cardiac surgery. |
| Deiner et al (2017) | RCT | Dexmedetomidine | POD | POD (increased for 0.8%, | Use of dexmedetomidine cannot prevent POD from happening. |
| Zhang et al (2018) | RCT | Intravenous anesthesia | Delayed Neurocognitive Recovery | Delayed neurocognitive recovery (8.4% reduction, first 7 days) | Propofol reduced the rate of delayed neurocognitive recovery as compared with sevoflurane. |
| Konishi et al (2018) | RCT | Intravenous anesthesia |
Delayed Neurocognitive Recovery POND |
Delayed neurocognitive recovery ( PND ( | No difference was found between propofol and sevoflurane for inducing cognitive impairment |
| Sun et al (2019) | Meta‐analysis | Intravenous anesthesia | POD | MMSE score (significantly lower in patients using propofol until 7 days) | Propofol had great adverse effect as compared with sevoflurane |
| Kristek et al (2019) | RCT | Multi‐modal analgesia | POD | POD (22.0% reduction, first 72 hours) | Multi‐modal analgesia significantly reduced the rate of POD. |
| Subramaniam et al (2019) | RCT | Multi‐modal analgesia | POD | POD length (1 day reduced, first 48 hours) | Acetaminophen reduced the length of POD in elderly patients |
| Mu et al (2017) | RCT | Multi‐modal analgesia | POD | POD (4.8% reduction, first 5 days) | Multi‐dose of parecoxib supplemented to intravenous morphine decreased the rate of POD without increasing side effects. |
| Rudiger et al (2016) | Observational | Temperature | POD | Hypothermia (34.5℃ | Low body temperature is one of the major risks for POD in ICU. |
| Wagner et al (2021) |
Retrospective Exploratory | Temperature | POD | Hypothermia (χ2 = 54.94, | A significant relationship was found between hypothermia and POD |
| Maheshwari et al (2020) | Observational | Blood Pressure | POD | Hypotension ( | Intraoperative hypotension is moderately associated with POD within 5 days after surgery. |
| Feng, et al (2020) | Meta‐analysis | Blood Pressure |
POD POND | Hypotension ( | No significant correlations between intraoperative hypotension and POD / PND. |
The type of PNDs were adjusted according to the latest diagnostic criteria.
Abbreviations: ICU, intensive care unit; MoCA, Montreal Cognitive Assessment; POD, postoperative delirium; POND, postoperative neurocognitive disorder; RCT, randomized controlled trial.
FIGURE 1Activated microglia and activated astrocytes in neuroinflammation. (A) Representative image of activated microglia in neuroinflammation. (B) Representative image of activated astrocytes in neuroinflammation. (C) Representative image of activated astrocytes and microglia on neuron dysfunction. CX3CL1/CX3CR1, chemokine fractalkine ligand 1/chemokine fractalkine receptor; LPS, lipopolysaccharide; IL‐1β, interleukin‐1 beta; MyD88, myeloid differentiation factor 88; NF‐κB, nuclear factor‐kappa B; TNFα, tumor necrosis factor alpha; PI3K, phosphoinositide 3‐kinase; AKT, Ser/Thr kinase; JAK, Janus kinase; STAT, signal transducer and activator of transcription; I‐ κB, inhibitor of NF‐κB; P, Phosphate; AMPK, adenosine 5’‐monophosphate‐activated protein kinase; GSK‐3β, glycogen synthase kinase 3β; Trem, triggering receptor expressed on myeloid cell
Clinical biomarkers for perioperative neurocognitive disorders (PNDs)
| Reference | Biomarker | Type | Sample | Evidence | Main findings |
|---|---|---|---|---|---|
| Quan et al (2019) | IL‐1β | Inflammatory | Plasma | Clinical | Lower IL−1β is followed by better cognitive function 7 days after anesthesia |
| Chen et al (2019) | IL‐6 | Inflammatory | Serum | Clinical | Patients developed into delirium had significant higher level of IL−6 at 6, 12 and 18 hours after surgery |
| Quan et al (2019) | CRP | Inflammatory | Plasma | Clinical | Lower CRP is followed by better cognitive function 7 days after anesthesia |
| Zhu et al (2020) | TNFα | Inflammatory | Plasma | Clinical | Higher level of TNFα is followed with lower MMSE score |
| Hov et al (2017) | S100β | Neurodegenerative | CSF | Clinical | In patients without preoperative delirium, higher S100β was observed in those develop into POD |
| Hassan et al (2020) | S100β | Neurodegenerative | Serum | Clinical | Patients without neuroprotective management had higher level of S100β followed with poorer cognitive performance 7 days after surgery. |
| Ballweg et al (2021) | Tau | Neurodegenerative | Plasma | Clinical | Plasma tau was significantly associated with delirium severity ( |
| Henjum et al (2018) |
| Neurodegenerative | CSF | Clinical | Delirium was associated with higher levels of TREM2 in patients without pre‐existing dementia ( |
| Jiang et al (2018) |
| Neurodegenerative | Hippocampus | Preclinical | The expression of |
| Passamonti et al (2019) | FC | Neuroimaging |
Rs‐fMRI data PET data | Clinical | Neuroinflammation in AD induced abnormal FC |
| Franzmeier et al (2019) | FC | Neuroimaging |
Rs‐fMRI data PET data | Clinical | FC from rs‐fMRI between any given region of interest (ROI) pair was associated with higher covariance in tau‐PET binding in the same ROIs |
| Mu et al (2020) | ALFF | Neuroimaging | Rs‐fMRI data | Clinical | AD patients without depression had higher increased ALFF on bilateral superior frontal gyrus, left middle frontal gyrus and left frontal gyrus |
| Zhuang et al (2020) | ALFF | Neuroimaging | Rs‐fMRI data | Clinical | MCI patients with aggregation vascular risk factors had different ALFF as compared with those without the risks. |
| Parisot, et al (2018) | Topology structure | Neuroimaging | Rs‐fMRI data | Clinical | The topology structures are different in AD and ASD patients |
AD, Alzheimer's disease; ALFF, amplitude of low frequency fluctuations; ASD, autism spectrum disorder; CRP, C‐reactive protein; CSF, cerebral spinal fluid; FC, functional connectivity; IL, interleukin; PET, positron emission tomography; rs‐fMRI, resting‐state functional magnetic resonance imaging; TNF, tumor necrosis factor; Trem, triggering receptor expressed on myeloid cell.