Aptamer-Based Proteomics Measuring Preoperative Cerebrospinal Fluid Protein Alterations Associated with Postoperative Delirium
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ABSTRACT:
PROVIDER: PRJNA1014433 | ENA |
REPOSITORIES: ENA
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Project description:Delirium is a common postoperative complication among older patients with many adverse outcomes. Due to lack of validated biomarkers, prediction and monitoring of delirium by biological testing is not currently feasible. Circulating proteins in cerebrospinal fluid (CSF) may reflect biological processes causing delirium. Our goal was to discover and investigate candidate protein biomarkers in preoperative CSF that were associated with development of postoperative delirium in older surgical patients. We employed a nested case–control study design coupled with high multiplex affinity proteomics analysis to measure 1305 proteins in preoperative CSF. Twenty-four matched delirium cases and non-delirium controls were selected from the Healthier Postoperative Recovery (HiPOR) cohort and the associations between preoperative protein levels and postoperative delirium were assessed using t-test statistics with further analysis by systems biology to elucidate delirium pathophysiology. Proteomics analysis identified 32 proteins in preoperative CSF that significantly associate with delirium (t-test p<0.05). Due to the limited sample size these proteins did not remain significant by multiple hypothesis testing using the Benjamini-Hochberg correction and q-value method. Three algorithms were applied to separate delirium cases from non-delirium controls. Hierarchical clustering classified 40/48 case-control samples correctly, principal components analysis separated 43/48. The receiver operating characteristic curve yielded an area under the curve [95% confidence interval] of 0.91 [0.80-0.97]. Systems biology analysis identified several key pathways associated with risk of delirium: inflammation, immune cell migration, apoptosis, angiogenesis, synaptic depression and neuronal cell death. Proteomics analysis of preoperative CSF identifies 32 proteins that might discriminate individuals who subsequently develop postoperative delirium from matched control samples. These proteins are potential candidate biomarkers for delirium and may play a role in its pathophysiology.
2023-09-09 | GSE242736 | GEO
Project description:Delirium is a common serious complication that often occurs after major surgery. However, there is little known about the function of long non-coding RNAs (lncRNAs) in postoperative delirium (POD). The goals of this study were to explore the expression profiles and functional networks of lncRNAs and mRNAs in patients of POD.
2021-06-09 | GSE163943 | GEO
Project description:Postoperative delirium (POD) is a common postoperative complication in elderly patients. The exact mechanism of POD is still unclear. In order to reveal the effect of CircRNA on POD, We analyzed the differential expression profile of circRNAs by microarray technique in hippocampus of 12-month-old mice between tibial fracture and control group.
2021-12-16 | GSE190880 | GEO
Project description:Gene expression studies on breast cancer have generally been performed on tissue obtained at the time of surgery. Overexpression of several genes may be a result of surgical trauma or preoperative manipulation, and may not reflect any biological impact of the disease. This study compares the expression profiles in preoperative tissue while tumor is still in its normal milieu to postoperative tissue from the same tumor obtained during surgery.
2011-03-01 | E-MTAB-469 | biostudies-arrayexpress
Project description:Gene expression studies on breast cancer have generally been performed on tissue obtained at the time of surgery. Overexpression of several genes may be a result of surgical trauma or preoperative manipulation, and may not reflect any biological impact of the disease. This study compares the expression profiles in preoperative tissue while tumor is still in its normal milieu to postoperative tissue from the same tumor obtained during surgery.
2011-03-01 | E-MTAB-470 | biostudies-arrayexpress
Project description:The role of genomics in postoperative delirium and sedation
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Project description:Treatment options and reliable predictive marker to determine patients at risk to develop postoperative LD and to define the optimal time point of liver resection are limited. Accordingly, there is an urgent need for an easily assessable preoperative test to predict postoperative liver function recovery, specifically as current markers are often expensive, time consuming and sometimes invasive. Emerging evidence suggests that microRNA (miRNA) signatures represent potent diagnostic, prognostic and treatment response biomarkers for several diseases. Using next-generation sequencing as an unbiased systematic approach 554 miRNAs were detected in preoperative plasma of 21 patients suffering from postoperative LD after liver resection and 27 matched controls. Subsequently, we identified a miRNA signature - consisting of miRNAs 151a-5p, 192-5p and 122-5p - that highly correlated with patients developing postoperative LD after liver resection. The predictive potential for postoperative LD was subsequently confirmed using real-time PCR in an independent validation cohort of 98 patients. Ultimately, a regression model of the two miRNA ratios 151a-5p to 192-5p and 122-5p to 151a-5p was found to reliably predict postoperative LD, severe morbidity, prolonged intensive care unit and hospital stay and even mortality prior to surgery with a remarkable accuracy, thereby outperforming established markers of postoperative LD. Ultimately, we documented that miRNA ratios closely followed liver function recovery after partial hepatectomy. Conclusion: Given the clinical relevance of predicting potentially fatal postoperative clinical outcome after liver resection, our data demonstrate the clinical utility of a novel miRNA-based biomarker to support the selection of patients undergoing partial hepatectomy. The dynamical changes during liver function recovery indicate a possible role in tailoring the optimal time point of surgery to each individual patient. Thereby, our data might help to tailor surgical strategies to the specific risk profile of individual patients.
2019-06-30 | GSE123605 | GEO
Project description:Cardiac surgery and cardiopulmonary bypass induce a substantial immune and inflammatory response, the overactivation of which is associated with significant complications. Longitudinal DNA methylation profiling allows the potential to identify changes in gene regulatory mechanisms that are secondary to surgery and to identify molecular processes that predict and/or cause postoperative complications. In this study, we measure DNA methylation in preoperative and postoperative whole blood samples from 96 patients undergoing cardiac surgery on cardiopulmonary bypass. We identify several loci with statistically significant postoperative changes in methylation. Additionally, two of these loci are associated with new-onset postoperative atrial fibrillation, a significant complication after cardiac surgery. This research establishes that there are statistically significant changes in DNA methylation that occur immediately after cardiac surgery and that these acute alterations in DNA methylation have the granularity to identify processes associated with major postoperative complications.
2023-01-09 | GSE215937 | GEO
Project description:The treatment strategy of rectal cancer has substantially changed in recent decades. Historically postoperative chemoradiotherapy (CRT) was considered to be the first-line therapy for stage II and III rectal cancers. However, the preoperative CRT is now considered to be the optimal therapy regimen for locally advanced rectal ancer due to its improved local control, reduced toxicity, and increased rate of sphincter preservation. Our study established a clinically practical multi-class prediction model by adopting a novel strategy that applies two separate prediction models (MI and TO predictor) sequentially to a patient to predict the response. For promising clinical practice, we validated our model in a published dataset, which is completely independent dataset from ours. This study suggests a clinically plausible prediction model that correctly infers the preoperative CRT response of patients with high accuracy based on 163 gene signatures we identified.
2013-05-14 | GSE46862 | GEO
Project description:The experiments were carried out to map the ligand binding landscape of various DNA and RNA duplexed aptamer families. Duplexed Aptamer (DA) constructs were engineered from (i) natural and synthetic DNA and RNA aptamers and (i) synthetic oligonucleotide aptamer-complementary elements synthesized on custom DNA microarrays. The aptamers tested consist of the ATP DNA aptamer, the ATP RNA aptamer, the cocaine DNA aptamer, the human alpha-thrombin DNA aptamer, and the natural add riboswitch aptamer from the pathogenic bacteria Vibrio vulnificus. Each duplexed aptamer family consists of 1000's of synthetic constructs, each formed by hybridizing the aptamer with an aptamer-complementary element (ACE) - here, ACEs consisted of various DNA oligonucleotides synthesized as a custom DNA microarray.
2017-12-20 | E-MTAB-6375 | biostudies-arrayexpress