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PloS One 2019Preeclampsia (PE) is a leading cause of maternal and perinatal morbidity and mortality worldwide. Although predictive multiparametric screening is being developed, it is... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Preeclampsia (PE) is a leading cause of maternal and perinatal morbidity and mortality worldwide. Although predictive multiparametric screening is being developed, it is not applicable to nulliparous women, and is not applied to low-risk women. As PE is considered a heterogenous disorder, it is unlikely that any single multiparametric screening protocol containing a small group of biomarkers could have the required accuracy to predict all PE subgroups. Given the etiology of PE is complex and not fully understood, it begs the question, whether the search for biomarkers based on the predominant view of impaired placentation involving factors predominately implicated in angiogenesis and inflammation, has been too limiting. Here we highlight the enormous potential of state-of-the-art, high-throughput proteomics, to provide a comprehensive and unbiased approach to biomarker identification.
METHODS AND FINDINGS
Our literature search identified 1336 articles; after review, 45 studies with proteomic data from PE women that were eligible for inclusion. From 710 proteins with altered abundance, we identified 13 common circulating proteins, some of which had not been previously considered as prospective biomarkers of PE. An additional search of the literature for original publications testing any of the 13 common proteins using non-proteomic techniques was also undertaken. Strikingly, 9 of these common proteins had been independently evaluated in PE studies as potential biomarkers.
CONCLUSION
This study highlights the potential of using high-throughput data sets, which are comprehensive and without bias, to identify a profile of proteins that may improve predictions of PE and understanding of its etiology. We bring to the attention of the medical and research communities that the strengths and advantages of using data from high-throughput studies for biomarker discovery would be increased dramatically, if first and second trimester samples were collected for proteomics, and if standardized guidelines for patient reporting and data collection were implemented.
Topics: Biomarkers; Databases, Factual; Female; Fetal Growth Retardation; Humans; Pre-Eclampsia; Pregnancy; Pregnancy Trimester, Third; Proteome; Proteomics
PubMed: 30951540
DOI: 10.1371/journal.pone.0214671 -
Life Sciences Apr 2021Age-associated memory loss is highly prevalent in the elder population. The inception of neurodegenerative diseases acts as a causative factor for the onset of memory...
Age-associated memory loss is highly prevalent in the elder population. The inception of neurodegenerative diseases acts as a causative factor for the onset of memory loss in aged individuals. The pathophysiological mechanisms of memory loss associated with the onset of neurodegenerative diseases and normal aging processes share certain similarities as well as differences. The normal age-associated memory loss is attributed to the impairment of calcium metabolism, dysregulated cholesterol metabolism, the prevalence of oxidative stress, inappropriate functioning of hormones as well as genetic factors. Vital information regarding the key biological processes and the druggable targets involved in the onset of memory loss in the elder population has been provided in this article. The genomic and proteomic profiles of key druggable targets retrieved from the experimental evidence, co-expression studies and databases are also presented in this article. The genomic and proteomic information of druggable targets will aid in the identification of therapeutic agents which could effectively regulate the key biological processes involved in the age-associated memory loss.
Topics: Aging; Biological Phenomena; Calcium; Cholesterol; Genome; Genomics; Hormones; Humans; Memory Disorders; Neurodegenerative Diseases; Oxidative Stress; Proteomics
PubMed: 33460668
DOI: 10.1016/j.lfs.2021.119079 -
Annals of Biomedical Engineering Aug 2020Here we demonstrate a technique to generate proteomic signatures of specific cell types within heterogeneous populations. While our method is broadly applicable across... (Meta-Analysis)
Meta-Analysis
Here we demonstrate a technique to generate proteomic signatures of specific cell types within heterogeneous populations. While our method is broadly applicable across biological systems, we have limited the current work to study neural cell types isolated from human, post-mortem Alzheimer's disease (AD) and aged-matched non-symptomatic (NS) brains. Motivating the need for this tool, we conducted an initial meta-analysis of current, human AD proteomics studies. While the results broadly corroborated major neurodegenerative disease hypotheses, cell type-specific predictions were limited. By adapting our Formaldehyde-fixed Intracellular Target-Sorted Antigen Retrieval (FITSAR) method for proteomics and applying this technique to characterize AD and NS brains, we generated enriched neuron and astrocyte proteomic profiles for a sample set of donors (available at www.fitsarpro.appspot.com ). Results showed the feasibility for using FITSAR to evaluate cell-type specific hypotheses. Our overall methodological approach provides an accessible platform to determine protein presence in specific cell types and emphasizes the need for protein-compatible techniques to resolve systems complicated by cellular heterogeneity.
Topics: Alzheimer Disease; Astrocytes; Brain; Neurons; Proteomics
PubMed: 32303872
DOI: 10.1007/s10439-020-02507-y -
Clinical and Translational... Jun 2015There is significant research interest in developing and validating novel pancreatic cyst-fluid biomarkers given the increasing recognition of the prevalence of...
There is significant research interest in developing and validating novel pancreatic cyst-fluid biomarkers given the increasing recognition of the prevalence of pancreatic cysts and their associated malignant potential. Although current international consensus guidelines are helpful, they fail to diagnose with certainty the cyst type and the level of epithelial dysplasia. They also fall short in predicting the future likelihood of malignant transformation. A systematic review was performed with the objective of summarizing cyst-fluid-based biomarkers that have been published in the medical literature over the past 10 years and characterizing the current quality of evidence. Our review demonstrates that there is an increasing interest in this topic with several different and innovative approaches including DNA, RNA, proteomic, and metabolomics profiling. Further techniques to improve upon cytological yield have also been studied. Besides identifying potentially useful clinical biomarkers, these empiric approaches have provided further insight into their pathogenesis. The level of evidence for the vast majority of these studies, however, is limited to retrospective early validation studies. The path forward will be to select out the most promising biomarkers and develop multicenter consortiums capable of capturing adequate sample sizes with appropriate study designs.
PubMed: 26065716
DOI: 10.1038/ctg.2015.17 -
BMC Oral Health Mar 2024Understanding the distinct proteomics profiles in dogs' oral biofluids enhances diagnostic and therapeutic insights for canine oral diseases, fostering cross-species...
BACKGROUND
Understanding the distinct proteomics profiles in dogs' oral biofluids enhances diagnostic and therapeutic insights for canine oral diseases, fostering cross-species translational research in dentistry and medicine. This study aimed to conduct a systematic review to investigate the similarities and differences between the oral biofluids' proteomics profile of dogs with and without oral diseases.
METHODS
PubMed, Web of Science, and Scopus were searched with no restrictions on publication language or year to address the following focused question: "What is the proteome signature of healthy versus diseased (oral) dogs' biofluids?" Gene Ontology enrichment and the Kyoto Encyclopedia of Genes and Genomes pathway analyses of the most abundant proteins were performed. Moreover, protein-protein interaction analysis was conducted. The risk of bias (RoB) among the included studies was assessed using the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for Studies Reporting Prevalence Data.
RESULTS
In healthy dogs, the proteomic analysis identified 5,451 proteins, with 137 being the most abundant, predominantly associated with 'innate immune response'. Dogs with oral diseases displayed 6,470 proteins, with distinct associations: 'defense response to bacterium' (periodontal diseases), 'negative regulation of transcription' (dental calculus), and 'positive regulation of transcription' (oral tumors). Clustering revealed significant protein clusters in each case, emphasizing the diverse molecular profiles in health and oral diseases. Only six studies were provided to the JBI tool, as they encompassed case-control evaluations that compared healthy dogs to dogs with oral disease(s). All included studies were found to have low RoB (high quality).
CONCLUSION
Significant differences in the proteomics profiles of oral biofluids between dogs with and without oral diseases were found. The synergy of animal proteomics and bioinformatics offers a promising avenue for cross-species research, despite persistent challenges in result validation.
Topics: Animals; Dogs; Proteomics; Mass Spectrometry; Periodontal Diseases; Bacteria; Mouth Neoplasms
PubMed: 38519930
DOI: 10.1186/s12903-024-04096-x -
Scientific Reports Aug 2017Pelvic organ prolapse (POP) is a highly disabling condition common for a vast number of women worldwide. To contribute to existing knowledge in POP pathogenesis, we...
Pelvic organ prolapse (POP) is a highly disabling condition common for a vast number of women worldwide. To contribute to existing knowledge in POP pathogenesis, we performed a systematic review of expression studies on both specific gene and whole-genome/proteome levels and an in silico analysis of publicly available datasets related to POP development. The most extensively investigated genes in individual studies were related to extracellular matrix (ECM) organization. Three premenopausal and two postmenopausal sets from two Gene Expression Omnibus (GEO) studies (GSE53868 and GSE12852) were analyzed; Gene Ontology (GO) terms related to tissue repair (locomotion, biological adhesion, immune processes and other) were enriched in all five datasets. Co-expression was higher in cases than in controls in three premenopausal sets. The shared between two or more datasets up-regulated genes were enriched with those related to inflammatory bowel disease (IBD) in the NHGRI GWAS Catalog. ECM-related genes were not over-represented among differently expressed genes. Up-regulation of genes related to tissue renewal probably reflects compensatory mechanisms aimed at repair of damaged tissue. Inefficiency of this process may have different origins including age-related deregulation of gene expression.
Topics: Computational Biology; Computer Simulation; Databases, Genetic; Female; Gene Expression Profiling; Gene Expression Regulation; Gene Regulatory Networks; Genetic Predisposition to Disease; Genome-Wide Association Study; Genomics; Humans; Pelvic Organ Prolapse; Proteomics; Transcriptome
PubMed: 28794464
DOI: 10.1038/s41598-017-08185-6 -
European Journal of Ophthalmology Sep 2023This review focuses on utility of artificial intelligence (AI) in analysis of biofluid markers in glaucoma. We detail the accuracy and validity of AI in the exploration...
PURPOSE
This review focuses on utility of artificial intelligence (AI) in analysis of biofluid markers in glaucoma. We detail the accuracy and validity of AI in the exploration of biomarkers to provide insight into glaucoma pathogenesis.
METHODS
A comprehensive search was conducted across five electronic databases including Embase, Medline, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Web of Science. Studies pertaining to biofluid marker analysis using AI or bioinformatics in glaucoma were included. Identified studies were critically appraised and assessed for risk of bias using the Joanna Briggs Institute Critical Appraisal tools.
RESULTS
A total of 10,258 studies were screened and 39 studies met the inclusion criteria, including 23 cross-sectional studies (59%), nine prospective cohort studies (23%), six retrospective cohort studies (15%), and one case-control study (3%). Primary open angle glaucoma (POAG) was the most commonly studied subtype (55% of included studies). Twenty-four studies examined disease characteristics, 10 explored treatment decisions, and 5 provided diagnostic clarification. While studies examined at entire metabolomic or proteomic profiles to determine changes in POAG, there was heterogeneity in the data with over 175 unique, differentially expressed biomarkers reported. Discriminant analysis and artificial neural network predictive models displayed strong differentiating ability between glaucoma patients and controls, although these tools were untested in a clinical context.
CONCLUSION
The use of AI models could inform glaucoma diagnosis with high sensitivity and specificity. While insight into differentially expressed biomarkers is valuable in pathogenic exploration, no clear pathogenic mechanism in glaucoma has emerged.
Topics: Humans; Artificial Intelligence; Biomarkers; Case-Control Studies; Cross-Sectional Studies; Glaucoma; Glaucoma, Open-Angle; Prospective Studies; Proteomics; Retrospective Studies
PubMed: 36426575
DOI: 10.1177/11206721221140948 -
Developmental Neurobiology Jul 2019Down syndrome (DS) occurs due to triplication of chromosome 21. Individuals with DS face an elevated risk for development of Alzheimer's disease (AD) due to increased...
Down syndrome (DS) occurs due to triplication of chromosome 21. Individuals with DS face an elevated risk for development of Alzheimer's disease (AD) due to increased amyloid beta (Aβ) resulting from the over-expression of the amyloid precursor protein found on chromosome 21. Diagnosis of AD among individuals with DS poses particular challenges resulting in an increased focus on alternative diagnostic methods such as blood-based biomarkers. The aim of this review was to evaluate the current state of the literature of blood-based biomarkers found in individuals with DS and particularly among those also diagnosed with AD or in prodromal stages (mild cognitive impairment [MCI]). A systematic review was conducted utilizing a comprehensive search strategy. Twenty-four references were identified, of those, 22 fulfilled inclusion criteria were selected for further analysis with restriction to only plasma-based biomarkers. Studies found Aβ to be consistently higher among individuals with DS; however, the link between Aβ peptides (Aβ1-42 and Aβ1-40) and AD among DS was inconsistent. Inflammatory-based proteins were more reliably found to be elevated leading to preliminary work focused on an algorithmic approach with predominantly inflammatory-based proteins to detect AD and MCI as well as predict risk of incidence among DS. Separate work has also shown remarkable diagnostic accuracy with the use of a single protein (NfL) as compared to combined proteomic profiles. This review serves to outline the current state of the literature and highlights the potential plasma-based biomarkers for use in detecting AD and MCI among this at-risk population.
Topics: Alzheimer Disease; Amyloid beta-Peptides; Animals; Biomarkers; Down Syndrome; Humans; Prodromal Symptoms
PubMed: 31389185
DOI: 10.1002/dneu.22714 -
Nature Communications Jun 2019Multidrug resistant (MDR) Acinetobacter baumannii poses a growing threat to global health. Research on Acinetobacter pathogenesis has primarily focused on pneumonia and...
Multidrug resistant (MDR) Acinetobacter baumannii poses a growing threat to global health. Research on Acinetobacter pathogenesis has primarily focused on pneumonia and bloodstream infections, even though one in five A. baumannii strains are isolated from urinary sites. In this study, we highlight the role of A. baumannii as a uropathogen. We develop the first A. baumannii catheter-associated urinary tract infection (CAUTI) murine model using UPAB1, a recent MDR urinary isolate. UPAB1 carries the plasmid pAB5, a member of the family of large conjugative plasmids that represses the type VI secretion system (T6SS) in multiple Acinetobacter strains. pAB5 confers niche specificity, as its carriage improves UPAB1 survival in a CAUTI model and decreases virulence in a pneumonia model. Comparative proteomic and transcriptomic analyses show that pAB5 regulates the expression of multiple chromosomally-encoded virulence factors besides T6SS. Our results demonstrate that plasmids can impact bacterial infections by controlling the expression of chromosomal genes.
Topics: Acinetobacter Infections; Acinetobacter baumannii; Animals; Bacterial Proteins; Catheter-Related Infections; Disease Models, Animal; Drug Resistance, Multiple, Bacterial; Gene Expression Profiling; Gene Expression Regulation, Bacterial; Humans; Mice; Plasmids; Pneumonia, Bacterial; Proteomics; Retrospective Studies; Type VI Secretion Systems; Urinary Catheters; Urinary Tract; Urinary Tract Infections; Virulence; Virulence Factors
PubMed: 31235751
DOI: 10.1038/s41467-019-10706-y -
Clinical Nutrition ESPEN Apr 2021The gut microbiome is an essential factor for the health of the host. Several factors may alter the gut's microbiota composition, including genetic factors, lifestyle,...
BACKGROUND & AIMS
The gut microbiome is an essential factor for the health of the host. Several factors may alter the gut's microbiota composition, including genetic factors, lifestyle, aging, and dietary intervention. This process can be an essential element in the prevention and treatment of diseases associated with microbiome dysfunction through appropriate dietary interventions. Based on this context, a systematic review was carried out in order to assess the effect of dietary intervention on the profile of the gut microbiota throughout different stages of life.
METHODS
The systematic review was conducted following the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA), with the eligibility criteria following the principle of PICOS. The literature search was carried out in 2019 throughout PubMed/MEDLINE, Scopus, and Science Direct. Thus, 1237 studies were selected, and 40 articles were included by criteria.
RESULTS
According to the level of evidence of Centre for Evidence-Based Medicine (OCEBM), 21 studies reached the level of evidence B1, 15 articles were classified with B2, and four articles with B3. No dietary intervention was applied at all stages of life, nor with similar proportions of intervention. No dietary intervention was applied at all stages of life, nor with similar proportions of intervention. On the other hand, dietary interventions alter the intestinal microbiota in different pathological realities.
CONCLUSIONS
Different dietary interventions change the microbiome composition at all stages of life in healthy and pathological individuals. However, more clinical studies are needed to identify the specifics of each stage in response to interventions.
Topics: Diet; Gastrointestinal Microbiome; Humans; Life Style
PubMed: 33745615
DOI: 10.1016/j.clnesp.2021.01.024