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BMC Geriatrics Nov 2023Delirium is a prevalent neuropsychiatric medical phenomenon that causes serious emergency outcomes, including mortality and morbidity. It also increases the suffering...
Exploration of key drug target proteins highlighting their related regulatory molecules, functional pathways and drug candidates associated with delirium: evidence from meta-data analyses.
BACKGROUND
Delirium is a prevalent neuropsychiatric medical phenomenon that causes serious emergency outcomes, including mortality and morbidity. It also increases the suffering and the economic burden for families and carers. Unfortunately, the pathophysiology of delirium is still unknown, which is a major obstacle to therapeutic development. The modern network-based system biology and multi-omics analysis approach has been widely used to recover the key drug target biomolecules and signaling pathways associated with disease pathophysiology. This study aimed to identify the major drug target hub-proteins associated with delirium, their regulatory molecules with functional pathways, and repurposable drug candidates for delirium treatment.
METHODS
We used a comprehensive proteomic seed dataset derived from a systematic literature review and the Comparative Toxicogenomics Database (CTD). An integrated multi-omics network-based bioinformatics approach was utilized in this study. The STRING database was used to construct the protein-protein interaction (PPI) network. The gene set enrichment and signaling pathways analysis, the regulatory transcription factors and microRNAs were conducted using delirium-associated genes. Finally, hub-proteins associated repurposable drugs were retrieved from CMap database.
RESULTS
We have distinguished 11 drug targeted hub-proteins (MAPK1, MAPK3, TP53, JUN, STAT3, SRC, RELA, AKT1, MAPK14, HSP90AA1 and DLG4), 5 transcription factors (FOXC1, GATA2, YY1, TFAP2A and SREBF1) and 6 microRNA (miR-375, miR-17-5, miR-17-5p, miR-106a-5p, miR-125b-5p, and miR-125a-5p) associated with delirium. The functional enrichment and pathway analysis revealed the cytokines, inflammation, postoperative pain, oxidative stress-associated pathways, developmental biology, shigellosis and cellular senescence which are closely connected with delirium development and the hallmarks of aging. The hub-proteins associated computationally identified repurposable drugs were retrieved from database. The predicted drug molecules including aspirin, irbesartan, ephedrine-(racemic), nedocromil, and guanidine were characterized as anti-inflammatory, stimulating the central nervous system, neuroprotective medication based on the existing literatures. The drug molecules may play an important role for therapeutic development against delirium if they are investigated more extensively through clinical trials and various wet lab experiments.
CONCLUSION
This study could possibly help future research on investigating the delirium-associated therapeutic target biomarker hub-proteins and repurposed drug compounds. These results will also aid understanding of the molecular mechanisms that underlie the pathophysiology of delirium onset and molecular function.
Topics: Humans; Gene Regulatory Networks; Proteomics; MicroRNAs; Transcription Factors; Delirium
PubMed: 37993790
DOI: 10.1186/s12877-023-04457-1 -
Translational Vision Science &... Feb 2024Retinal images contain rich biomarker information for neurodegenerative disease. Recently, deep learning models have been used for automated neurodegenerative disease...
PURPOSE
Retinal images contain rich biomarker information for neurodegenerative disease. Recently, deep learning models have been used for automated neurodegenerative disease diagnosis and risk prediction using retinal images with good results.
METHODS
In this review, we systematically report studies with datasets of retinal images from patients with neurodegenerative diseases, including Alzheimer's disease, Huntington's disease, Parkinson's disease, amyotrophic lateral sclerosis, and others. We also review and characterize the models in the current literature which have been used for classification, regression, or segmentation problems using retinal images in patients with neurodegenerative diseases.
RESULTS
Our review found several existing datasets and models with various imaging modalities primarily in patients with Alzheimer's disease, with most datasets on the order of tens to a few hundred images. We found limited data available for the other neurodegenerative diseases. Although cross-sectional imaging data for Alzheimer's disease is becoming more abundant, datasets with longitudinal imaging of any disease are lacking.
CONCLUSIONS
The use of bilateral and multimodal imaging together with metadata seems to improve model performance, thus multimodal bilateral image datasets with patient metadata are needed. We identified several deep learning tools that have been useful in this context including feature extraction algorithms specifically for retinal images, retinal image preprocessing techniques, transfer learning, feature fusion, and attention mapping. Importantly, we also consider the limitations common to these models in real-world clinical applications.
TRANSLATIONAL RELEVANCE
This systematic review evaluates the deep learning models and retinal features relevant in the evaluation of retinal images of patients with neurodegenerative disease.
Topics: Humans; Algorithms; Alzheimer Disease; Deep Learning; Machine Learning; Neurodegenerative Diseases; Datasets as Topic; Retina
PubMed: 38381447
DOI: 10.1167/tvst.13.2.16 -
Heliyon Aug 2023This study aims to comprehensively review the literature on human resource outsourcing (HRO) published from 2001 to 2021. The study begins with metadata analysis on 69... (Review)
Review
This study aims to comprehensively review the literature on human resource outsourcing (HRO) published from 2001 to 2021. The study begins with metadata analysis on 69 papers and presents insights into 32 papers on HRO identified from the Scopus and ISI Web of Science databases. The literature is classified based on content analysis, which comprises conceptual understanding, drivers and barriers, functions outsourced, and firm performance. The study reveals that cost advantage, organisational learning, and the opportunity to concentrate on core business functions motivate the organisation to practice HRO. However, the lack of psychological contact among current employees, the risk of opportunism in the freelancing organisation, lack of management legislation, and prior experience are the common barriers to HRO adoption. Despite thesedrawbacks and barriers, recruitment, payroll processing, and technology-centric human resource (HR) activities are standard HR functions outsourced by organisations. The contributions of this study are to offer an integrated and conclusive definition of HRO and provide a simple, easy-to-understand, yet comprehensive framework for understanding HRO practices in any organisation. Researchers and academicians can utilize this paper to explore future research directions while gaining a thorough understanding of the HRO concept.
PubMed: 37600375
DOI: 10.1016/j.heliyon.2023.e19018 -
Gynecology and Minimally Invasive... 2024High-intensity focused ultrasound (HIFU) is commonly used to treat uterine fibroids and adenomyosis, but there is no evidence using metadata to compare fertility... (Review)
Review
High-intensity Focused Ultrasound is a Better Choice for Women with Fertility Desire: A Systematic Review and Meta-analysis of the Comparison between High-intensity Focused Ultrasound and Laparoscopic Treatment of Uterine Fibroids.
High-intensity focused ultrasound (HIFU) is commonly used to treat uterine fibroids and adenomyosis, but there is no evidence using metadata to compare fertility outcomes between conventional laparoscopic procedures and HIFU. The purpose of this study analysis is that evidence-based fertility outcomes may provide better treatment options for clinicians and patients considering fertility. The literature on fertility data for HIFU surgery versus laparoscopic myomectomy was searched in seven English language databases from January 1, 2010, to November 23, 2022. A total of 1375 articles were received in the literature, 14 of which were selected. We found that women who underwent HIFU surgery had higher rates of spontaneous pregnancy, higher rates of spontaneous delivery, and higher rates of full-term delivery but may have higher rates of miscarriage or postpartum complications than women who underwent laparoscopic myomectomy. Looking forward to future studies, it is hoped that the literature will examine endometrial differences in women who undergo HIFU and laparoscopic myomectomy to demonstrate the ability of endometrial repair. The location of fibroids in the sample should also be counted to allow for attribution statistics on the cause of miscarriage.
PubMed: 38911304
DOI: 10.4103/gmit.gmit_23_23 -
Journal of Neuro-oncology Dec 2023Surgical resection of glioblastoma (GBM) remains a cornerstone in the current treatment paradigm. The postoperative evolution of hydrocephalus necessitating... (Meta-Analysis)
Meta-Analysis Review
BACKGROUND
Surgical resection of glioblastoma (GBM) remains a cornerstone in the current treatment paradigm. The postoperative evolution of hydrocephalus necessitating ventriculoperitoneal shunting (VPS) continues to be defined. Correspondingly the objective of this study was to aggregate pertinent metadata to better define the clinical course of VPS for hydrocephalus following glioblastoma surgery in light of contemporary management.
METHODS
Searches of multiple electronic databases from inception to November 2023 were conducted following PRISMA guidelines. Articles were screened against pre-specified criteria. Outcomes were pooled by random-effects meta-analyses where possible.
RESULTS
A total of 12 cohort studies satisfied all selection criteria, describing a total of 6,098 glioblastoma patients after surgery with a total of 261 (4%) of patients requiring postoperative VPS for hydrocephalus. Meta-analysis demonstrated the estimated pooled rate of symptomatic improvement following VPS was 78% (95% CI 66-88), and the estimated pooled rate of VPS revision was 24% (95% CI 16-33). Pooled time from index glioblastoma surgery to VPS surgery was 4.1 months (95% CI 2.8-5.3), and pooled survival time for index VPS surgery was 7.3 months (95% CI 5.4-9.4). Certainty of these outcomes were limited by the heterogenous and palliative nature of postoperative glioblastoma management.
CONCLUSIONS
Of the limited proportion of glioblastoma patients requiring VPS surgery for hydrocephalus after index surgery, 78% patients are expected to show symptom improvement, and 24% can expect to undergo revision surgery. An individualized approach to each patient is required to optimize both index glioblastoma and VPS surgeries to account for anatomy and goals of care given the poor prognosis of this tumor overall.
Topics: Humans; Glioblastoma; Hydrocephalus; Ventriculoperitoneal Shunt; Cohort Studies; Disease Progression; Retrospective Studies; Treatment Outcome
PubMed: 38112893
DOI: 10.1007/s11060-023-04538-6 -
Frontiers in Artificial Intelligence 2024Public health policy researchers face a persistent challenge in identifying and integrating relevant data, particularly in the context of the U.S. opioid crisis, where a...
BACKGROUND
Public health policy researchers face a persistent challenge in identifying and integrating relevant data, particularly in the context of the U.S. opioid crisis, where a comprehensive approach is crucial.
PURPOSE
To meet this new workforce demand health policy and health economics programs are increasingly introducing data analysis and data visualization skills. Such skills facilitate data integration and discovery by linking multiple resources. Common linking strategies include individual or aggregate level linking (e.g., patient identifiers) in primary clinical data and conceptual linking (e.g., healthcare workforce, state funding, burnout rates) in secondary data. Often, the combination of primary and secondary datasets is sought, requiring additional skills, for example, understanding metadata and constructing interlinkages.
METHODS
To help improve those skills, we developed a 2-step process using a scoping method to discover data and network visualization to interlink metadata. Results: We show how these new skills enable the discovery of relationships among data sources pertinent to public policy research related to the opioid overdose crisis and facilitate inquiry across heterogeneous data resources. In addition, our interactive network visualization introduces (1) a conceptual approach, drawing from recent systematic review studies and linked by the publications, and (2) an aggregate approach, constructed using publicly available datasets and linked through crosswalks.
CONCLUSIONS
These novel metadata visualization techniques can be used as a teaching tool or a discovery method and can also be extended to other public policy domains.
PubMed: 38646414
DOI: 10.3389/frai.2024.1208874 -
PLoS Neglected Tropical Diseases Sep 2023Diagnosis of arbovirus infection or exposure by antibody testing is becoming increasingly difficult due to global expansion of arboviruses, which induce antibodies that...
Diagnosis of arbovirus infection or exposure by antibody testing is becoming increasingly difficult due to global expansion of arboviruses, which induce antibodies that may (cross-)react in serological assays. We provide a systematic review of the current knowledge and knowledge gaps in differential arbovirus serology. The search included Medline, Embase and Web of Science databases and identified 911 publications which were reduced to 102 after exclusion of studies not providing data on possible cross-reactivity or studies that did not meet the inclusion criteria regarding confirmation of virus exposure of reference population sets. Using a scoring system to further assess quality of studies, we show that the majority of the selected papers (N = 102) provides insufficient detail to support conclusions on specificity of serological outcomes with regards to elucidating antibody cross-reactivity. Along with the lack of standardization of assays, metadata such as time of illness onset, vaccination, infection and travel history, age and specificity of serological methods were most frequently missing. Given the critical role of serology for diagnosis and surveillance of arbovirus infections, better standards for reporting, as well as the development of more (standardized) specific serological assays that allow discrimination between exposures to multiple different arboviruses, are a large global unmet need.
Topics: Humans; Arboviruses; Arbovirus Infections; Hematologic Tests
PubMed: 37738270
DOI: 10.1371/journal.pntd.0011651 -
International Urogynecology Journal Nov 2023Bowel vaginoplasty is a surgical method for neovagina construction that, despite its advantages over other techniques, is still burdened by complications such as... (Review)
Review
BACKGROUND
Bowel vaginoplasty is a surgical method for neovagina construction that, despite its advantages over other techniques, is still burdened by complications such as prolapse. The incidence of sigmoid neovagina prolapse (SNP) is difficult to determine, and there are no evidence-based recommendations for treatment. We present a case of SNP and a systematic review of previous cases.
CASE
A 73-year-old woman presented with stage III prolapse of her sigmoid neovagina constructed 51 years prior. Dynamic pelvic MRI revealed that the majority of the prolapse was due to the mucosa's loss of support. Due to the presence of numerous pelvic adhesions, an alternative to the laparoscopic approach was evaluated by a multidisciplinary team which led to the patient being treated using a modification of Altemeier's procedure.
SYSTEMATIC REVIEW
After PROSPERO Registration (CRD42023400677), a systematic search of Medline and Scopus was performed using specific search terms. Study metadata including patient demographics, prolapse measurements, reconstruction techniques, recurrence rates, and timing were extracted. Fourteen studies comprising 17 cases of SNP were included. Vaginal resection of the redundant sigmoid, comprising Altemeier's procedure, was the most definitive surgery, but it was also associated with recurrences in three cases. Laparoscopic sacropexy was the second most definitive surgery with no recurrence reported.
CONCLUSION
Our review shows that the recurrence after correction of sigmoid neovagina prolapses is higher than previously reported. Laparoscopy colposacropexy appeared to be the best approach, but it's not always feasible. In these scenarios, a mucosal resection using the Altemeier's procedure is the most effective surgery.
Topics: Humans; Female; Pregnancy; Aged; Colon, Sigmoid; Prolapse; Vagina; Laparoscopy; Colpotomy; Mullerian Ducts; Congenital Abnormalities; 46, XX Disorders of Sex Development
PubMed: 37490063
DOI: 10.1007/s00192-023-05603-4 -
European Child & Adolescent Psychiatry Feb 2024Several interventions have been developed to support families living with parental mental illness (PMI). Recent evidence suggests that programmes with whole-family...
Several interventions have been developed to support families living with parental mental illness (PMI). Recent evidence suggests that programmes with whole-family components may have greater positive effects for families, thereby also reducing costs to health and social care systems. This review aimed to identify whole-family interventions, their common characteristics, effectiveness and acceptability. A systematic review was conducted according to PRISMA 2020 guidelines. A literature search was conducted in ASSIA, CINAHL, Embase, Medline, and PsycINFO in January 2021 and updated in August 2022. We double screened 3914 abstracts and 212 papers according to pre-set inclusion and exclusion criteria. The Mixed Methods Appraisal Tool was used for quality assessment. Quantitative and qualitative data were extracted and synthesised. Randomised-control trial data on child and parent mental health outcomes were analysed separately in random-effects meta-analyses. The protocol, extracted data, and meta-data are accessible via the Open Science Framework ( https://osf.io/9uxgp/ ). Data from 66 reports-based on 41 independent studies and referring to 30 different interventions-were included. Findings indicated small intervention effects for all outcomes including children's and parents' mental health (d = -0.017, -027; d = -0.14, -0.16) and family outcomes. Qualitative evidence suggested that most families experienced whole-family interventions as positive, highlighting specific components as helpful, including whole-family components, speaking about mental illness, and the benefits of group settings. Our findings highlight the lack of high-quality studies. The present review fills an important gap in the literature by summarising the evidence for whole-family interventions. There is a lack of robust evidence coupled with a great need in families affected by PMI which could be addressed by whole-family interventions. We recommend the involvement of families in the further development of these interventions and their evaluation.
PubMed: 38393370
DOI: 10.1007/s00787-024-02380-3 -
Frontiers in Psychiatry 2024Recent developments in the fields of natural language processing (NLP) and machine learning (ML) have shown significant improvements in automatic text processing. At the... (Review)
Review
Recent developments in the fields of natural language processing (NLP) and machine learning (ML) have shown significant improvements in automatic text processing. At the same time, the expression of human language plays a central role in the detection of mental health problems. Whereas spoken language is implicitly assessed during interviews with patients, written language can also provide interesting insights to clinical professionals. Existing work in the field often investigates mental health problems such as depression or anxiety. However, there is also work investigating how the diagnostics of eating disorders can benefit from these novel technologies. In this paper, we present a systematic overview of the latest research in this field. Our investigation encompasses four key areas: (a) an analysis of the metadata from published papers, (b) an examination of the sizes and specific topics of the datasets employed, (c) a review of the application of machine learning techniques in detecting eating disorders from text, and finally (d) an evaluation of the models used, focusing on their performance, limitations, and the potential risks associated with current methodologies.
PubMed: 38596627
DOI: 10.3389/fpsyt.2024.1319522