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Advanced Drug Delivery Reviews 2020Vaccines are one of the most powerful technologies supporting public health. The adaptive immune response induced by immunization arises following appropriate activation...
Vaccines are one of the most powerful technologies supporting public health. The adaptive immune response induced by immunization arises following appropriate activation and differentiation of T and B cells in lymph nodes. Among many parameters impacting the resulting immune response, the presence of antigen and inflammatory cues for an appropriate temporal duration within the lymph nodes, and further within appropriate subcompartments of the lymph nodes- the right timing and location- play a critical role in shaping cellular and humoral immunity. Here we review recent advances in our understanding of how vaccine kinetics and biodistribution impact adaptive immunity, and the underlying immunological mechanisms that govern these responses. We discuss emerging approaches to engineer these properties for future vaccines, with a focus on subunit vaccines.
Topics: Adjuvants, Immunologic; B-Lymphocytes; Drug Carriers; Humans; Immunity, Humoral; Inflammation Mediators; Liposomes; Lymph Nodes; Nanoparticles; Plasmids; RNA, Messenger; T-Lymphocytes; Tissue Distribution; Vaccines
PubMed: 32598970
DOI: 10.1016/j.addr.2020.06.019 -
Food & Function Jan 2023Anthocyanins have multiple health benefits. However, they are prone to degradation during gastrointestinal digestion, impeding their utilization. Various encapsulation... (Meta-Analysis)
Meta-Analysis Review
Anthocyanins have multiple health benefits. However, they are prone to degradation during gastrointestinal digestion, impeding their utilization. Various encapsulation systems have been proposed to improve their bioaccessibility and bioavailability. This review aims to provide a systematic evaluation and meta-analysis of published studies examining the effect of microencapsulation on the bioaccessibility of anthocyanins. A comprehensive and systematic literature search of three databases (Scopus, PubMed, and Web of Science) was conducted. Studies were selected according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses criteria and were reviewed independently by two investigators. Overall, 34 articles were included in the systematic review and 24 were included in the meta-analysis. The fold changes in bioaccessibility between encapsulated and non-encapsulated anthocyanins from eligible studies were calculated. The median and 95% confidence intervals (CI) of the fold changes for spray-drying (median 1.23, 95% CI 0.91-1.92), freeze-drying (median 1.19, 95% CI 0.61-1.28), simple coacervation (median 1.80, 95% CI 1.41-3.20), and complex coacervation (median 1.61, 95% CI 0.21-25.00) were calculated. Simple coacervation showed a promising protection against degradation during digestion. However, when a large number of anthocyanins cannot be released from the microparticles during digestion, encapsulation impedes the bioaccessibility of anthocyanins.
Topics: Anthocyanins; Biological Availability; Freeze Drying
PubMed: 36594512
DOI: 10.1039/d2fo01997c -
International Journal of Molecular... Apr 2021Chronic kidney disease (CKD) is an important global public health problem due to its high prevalence and morbidity. Although the treatment of nephrology patients has... (Meta-Analysis)
Meta-Analysis Review
Chronic kidney disease (CKD) is an important global public health problem due to its high prevalence and morbidity. Although the treatment of nephrology patients has changed considerably, ineffectiveness and side effects of medications represent a major issue. In an effort to elucidate the contribution of genetic variants located in several genes in the response to treatment of patients with CKD, we performed a systematic review and meta-analysis of all available pharmacogenetics studies. The association between genotype distribution and response to medication was examined using the dominant, recessive, and additive inheritance models. Subgroup analysis based on ethnicity was also performed. In total, 29 studies were included in the meta-analysis, which examined the association of 11 genes (16 polymorphisms) with the response to treatment regarding CKD. Among the 29 studies, 18 studies included patients with renal transplantation, 8 involved patients with nephrotic syndrome, and 3 studies included patients with lupus nephritis. The present meta-analysis provides strong evidence for the contribution of variants harbored in the , , , , and genes that creates some genetic predisposition that reduces effectiveness or is associated with adverse events of medications used in CKD.
Topics: Azathioprine; Cyclosporine; Humans; Pharmacogenomic Testing; Pharmacogenomic Variants; Polymorphism, Genetic; Prednisolone; Renal Insufficiency, Chronic; Tacrolimus; Treatment Outcome
PubMed: 33923087
DOI: 10.3390/ijms22094480 -
Journal of Medical Internet Research Oct 2023Frailty syndrome (FS) is one of the most common noncommunicable diseases, which is associated with lower physical and mental capacities in older adults. FS diagnosis is... (Review)
Review
BACKGROUND
Frailty syndrome (FS) is one of the most common noncommunicable diseases, which is associated with lower physical and mental capacities in older adults. FS diagnosis is mostly focused on biological variables; however, it is likely that this diagnosis could fail owing to the high biological variability in this syndrome. Therefore, artificial intelligence (AI) could be a potential strategy to identify and diagnose this complex and multifactorial geriatric syndrome.
OBJECTIVE
The objective of this scoping review was to analyze the existing scientific evidence on the use of AI for the identification and diagnosis of FS in older adults, as well as to identify which model provides enhanced accuracy, sensitivity, specificity, and area under the curve (AUC).
METHODS
A search was conducted using PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines on various databases: PubMed, Web of Science, Scopus, and Google Scholar. The search strategy followed Population/Problem, Intervention, Comparison, and Outcome (PICO) criteria with the population being older adults; intervention being AI; comparison being compared or not to other diagnostic methods; and outcome being FS with reported sensitivity, specificity, accuracy, or AUC values. The results were synthesized through information extraction and are presented in tables.
RESULTS
We identified 26 studies that met the inclusion criteria, 6 of which had a data set over 2000 and 3 with data sets below 100. Machine learning was the most widely used type of AI, employed in 18 studies. Moreover, of the 26 included studies, 9 used clinical data, with clinical histories being the most frequently used data type in this category. The remaining 17 studies used nonclinical data, most frequently involving activity monitoring using an inertial sensor in clinical and nonclinical contexts. Regarding the performance of each AI model, 10 studies achieved a value of precision, sensitivity, specificity, or AUC ≥90.
CONCLUSIONS
The findings of this scoping review clarify the overall status of recent studies using AI to identify and diagnose FS. Moreover, the findings show that the combined use of AI using clinical data along with nonclinical information such as the kinematics of inertial sensors that monitor activities in a nonclinical context could be an appropriate tool for the identification and diagnosis of FS. Nevertheless, some possible limitations of the evidence included in the review could be small sample sizes, heterogeneity of study designs, and lack of standardization in the AI models and diagnostic criteria used across studies. Future research is needed to validate AI systems with diverse data sources for diagnosing FS. AI should be used as a decision support tool for identifying FS, with data quality and privacy addressed, and the tool should be regularly monitored for performance after being integrated in clinical practice.
Topics: Humans; Aged; Artificial Intelligence; Frail Elderly; Frailty; Machine Learning; Area Under Curve
PubMed: 37862082
DOI: 10.2196/47346 -
Neurosurgical Review Sep 2023Aneurysmal subarachnoid hemorrhage (aSAH) is a devastating and life-threatening stroke subtype, that has a high disability and fatality rate. By the use of the systemic... (Review)
Review
Aneurysmal subarachnoid hemorrhage (aSAH) is a devastating and life-threatening stroke subtype, that has a high disability and fatality rate. By the use of the systemic immune-inflammation index (SII), it is possible to understand the pathophysiology that underlies immune and inflammatory responses and anticipate consequences including delayed cerebral ischemia (DCI), delayed cerebral vasospasm, and functional outcome. A systematic search of the English-language literature in PubMed and Embase was performed to locate articles addressing the usage of SII in aSAH patients. The cutoff value, sensitivity, specificity, and area-under-the curve (AUC) of the receiver operating characteristic (ROC) curve were collected. Four publications were reviewed after applying the exclusion criteria from the 53 included articles. All the studies indicated that higher SII on admission was significantly associated with poor prognosis. The research examined in this paper provides the earliest indications that higher SII predicts DCI, delayed cerebral vasospasm, and functional outcome, even though other medical subspecialties have used this ratio for a long time to make such predictions.
Topics: Humans; Prognosis; Subarachnoid Hemorrhage; Vasospasm, Intracranial; Area Under Curve; Cerebral Infarction; Inflammation
PubMed: 37659015
DOI: 10.1007/s10143-023-02133-x -
Journal of Medical Virology Sep 2023Accurate early detection of the human papillomavirus (HPV) status in head and neck cancer (HNC) is crucial to identify at-risk populations, stratify patients,... (Meta-Analysis)
Meta-Analysis
Accurate early detection of the human papillomavirus (HPV) status in head and neck cancer (HNC) is crucial to identify at-risk populations, stratify patients, personalized treatment options, and predict prognosis. Artificial intelligence (AI) is an emerging tool to dissect imaging features. This systematic review and meta-analysis aimed to evaluate the performance of AI to predict the HPV positivity through the HPV-associated diseased images in HNC patients. A systematic literature search was conducted in databases including Ovid-MEDLINE, Embase, and Web of Science Core Collection for studies continuously published from inception up to October 30, 2022. Search strategies included keywords such as "artificial intelligence," "head and neck cancer," "HPV," and "sensitivity & specificity." Duplicates, articles without HPV predictions, letters, scientific reports, conference abstracts, or reviews were excluded. Binary diagnostic data were then extracted to generate contingency tables and then used to calculate the pooled sensitivity (SE), specificity (SP), area under the curve (AUC), and their 95% confidence interval (CI). A random-effects model was used for meta-analysis, four subgroup analyses were further explored. Totally, 22 original studies were included in the systematic review, 15 of which were eligible to generate 33 contingency tables for meta-analysis. The pooled SE and SP for all studies were 79% (95% CI: 75-82%) and 74% (95% CI: 69-78%) respectively, with an AUC of 0.83 (95% CI: 0.79-0.86). When only selecting one contingency table with the highest accuracy from each study, our analysis revealed a pooled SE of 79% (95% CI: 75-83%), SP of 75% (95% CI: 69-79%), and an AUC of 0.84 (95% CI: 0.81-0.87). The respective heterogeneities were moderate (I for SE and SP were 51.70% and 51.01%) and only low (35.99% and 21.44%). This evidence-based study showed an acceptable and promising performance for AI algorithms to predict HPV status in HNC but was not comparable to the routine p16 immunohistochemistry. The exploitation and optimization of AI algorithms warrant further research. Compared with previous studies, future studies anticipate to make progress in the selection of databases, improvement of international reporting guidelines, and application of high-quality deep learning algorithms.
Topics: Humans; Artificial Intelligence; Papillomavirus Infections; Algorithms; Area Under Curve; Head and Neck Neoplasms; Human Papillomavirus Viruses
PubMed: 37691329
DOI: 10.1002/jmv.29080 -
Frontiers in Pharmacology 2022The decision of vancomycin dosage for central nervous system (CNS) infections is still a challenge because its bactericidal nature in cerebrospinal fluid (CSF) has not... (Review)
Review
The decision of vancomycin dosage for central nervous system (CNS) infections is still a challenge because its bactericidal nature in cerebrospinal fluid (CSF) has not been confirmed by human studies. This study systematically reviewed the literatures on vancomycin in patients with meningitis, ventriculitis, and CNS device-associated infections, to assess efficacy, safety, and pharmacokinetics to better serve as a practical reference. Medline, Embase, and Cochrane Library were searched using terms vancomycin, Glycopeptides, meningitis, and central nervous system infections. Data were extracted including characteristics of participants, causative organism(s), administration, dosage, etc., The clinical response, microbiological response, adverse events and pharmacokinetic parameters were analyzed. Nineteen articles were included. Indications for vancomycin included meningitis, ventriculitis, and intracranial device infections. No serious adverse effects of intravenous (IV) and intraventricular (IVT) vancomycin have been reported. Dosages of IV and IVT vancomycin ranged from 1000-3000 mg/day and 2-20 mg/day. Duration of IV and IVT vancomycin therapy most commonly ranged from 3-27 days and 2-21 days. Therapeutic drug monitoring was conducted in 14 studies. Vancomycin levels in CSF in patients using IV and IVT vancomycin were varied widely from 0.06 to 22.3 mg/L and 2.5-292.9 mg/L. No clear relationships were found between vancomycin CSF levels and efficacy or toxicity. Using vancomycin to treat CNS infections appears effective and safe based on current evidence. However, the optimal regimens are still unclear. Higher quality clinical trials are required to explore the vancomycin disposition within CNS.
PubMed: 36467047
DOI: 10.3389/fphar.2022.1056148 -
MedRxiv : the Preprint Server For... Feb 2023In this review, we provide an updated assessment of available evidence on the pharmacokinetics (PK) of cannabidiol (CBD) and explore the impact of different factors on...
BACKGROUND
In this review, we provide an updated assessment of available evidence on the pharmacokinetics (PK) of cannabidiol (CBD) and explore the impact of different factors on PK outcomes.
MATERIALS AND METHODS
This systematic review and meta-regression analysis was pre-registered (PROSPERO: CRD42021269857). We systematically searched Medline, Embase, PsychInfo, and Web of Science Core Collection up to November 19, 2022. Trials of CBD in healthy adults were included if they reported at least one of the PK parameters of interest, including Tmax, Cmax, AUC0-t, AUC0-inf, and T , in serum or plasma. Studies of patient populations or CBD co-administration with other medications were excluded. The was used. Random-effects multivariable meta-regression analysis was conducted.
RESULTS
A total of 112 trial arms from 39 studies were included; 26 trial arms had a "Good" quality, 70 "Fair," and 16 "Poor." Eight arms used inhalation CBD, 29 oromucosal, 73 oral, and 2 intravenous. CBD formulations could be categorized to nanotech (n=14), oil-based (n=21), alcohol-based (n=10), water-based (n=12), Sativex (n=17), and Epidiolex (n=22). For single-dose studies, CBD doses ranged between 2-100mg in inhalation, 5-50mg in oromucosal, and 0.42-6000mg in oral administration. Sixty-six trial arms had only male participants or a higher number of males than females. The duration of the PK session was between 4h-164h. A higher CBD dose was associated with higher Cmax, AUC0-t, and AUC0-inf. Compared to oral administration, oromucosal administration was associated with lower Cmax, AUC0-t, and AUC0-inf. Fed status was associated with higher Cmax and AUC0-t when compared to the fasting status. A higher ratio of female participants was associated with lower Tmax in oral administration and higher Cmax.
CONCLUSION
As expected, CBD dose, route of administration, and diet were major determinants of CBD pharmacokinetics with oral routes providing higher bioavailability and nanotechnology formulations a faster onset. Though CBD appeared to have a faster onset and longer duration in females, more studies are required to delineate the role of biological sex. Factors that influence CBD PK have implications for medication development and appropriate dosing in clinical practice.
PubMed: 36778355
DOI: 10.1101/2023.02.01.23285341 -
Nutrients May 2020Histidine is an essential amino acid (EAA) in mammals, fish, and poultry. We aim to give an overview of the metabolism and physiological effects of histidine in humans...
Histidine is an essential amino acid (EAA) in mammals, fish, and poultry. We aim to give an overview of the metabolism and physiological effects of histidine in humans and different animal species through a systematic review following the guidelines of PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). In humans, dietary histidine may be associated with factors that improve metabolic syndrome and has an effect on ion absorption. In rats, histidine supplementation increases food intake. It also provides neuroprotection at an early stage and could protect against epileptic seizures. In chickens, histidine is particularly important as a limiting factor for carnosine synthesis, which has strong anti-oxidant effects. In fish, dietary histidine may be one of the most important factors in preventing cataracts. In ruminants, histidine is a limiting factor for milk protein synthesis and could be the first limiting AA for growth. In excess, histidine supplementation can be responsible for eating and memory disorders in humans and can induce growth retardation and metabolic dysfunction in most species. To conclude, the requirements for histidine, like for other EAA, have been derived from growth and AA composition in tissues and also have specific metabolic roles depending on species and dietary levels.
Topics: Animals; Chickens; Dietary Supplements; Eating; Fishes; Gastrointestinal Absorption; Histidine; Humans; Rats; Ruminants
PubMed: 32423010
DOI: 10.3390/nu12051414 -
European Journal of Trauma and... Aug 2023Currently, Glasgow Coma Scale (GCS) is used to assess patients' level of consciousness. Although this tool is highly popular in clinical settings, it has various... (Meta-Analysis)
Meta-Analysis Review
Comparison of Glasgow Coma Scale and Full Outline of UnResponsiveness score for prediction of in-hospital mortality in traumatic brain injury patients: a systematic review and meta-analysis.
BACKGROUND
Currently, Glasgow Coma Scale (GCS) is used to assess patients' level of consciousness. Although this tool is highly popular in clinical settings, it has various limitations that reduce its applicability in certain situations. This had led researchers to look for alternative scoring systems. This study aims to compare the value of GCS and Full Outline of UnResponsiveness (FOUR) score for prediction of mortality in traumatic brain injury (TBI) patients through a systematic review and meta-analysis.
METHOD
Online databases of Medline, Embase, Scopus, and Web of Science were searched until the end of July 2022 for studies that had compared GCS and FOUR score in TBI patients. Interested outcomes were mortality and unfavorable outcome (mortality + disability). Findings are reported as area under the curve (AUC) sensitivity, specificity, and diagnostic odds ratio.
RESULTS
20 articles (comprised of 2083 patients) were included in this study. AUC of GCS and FOUR score for prediction of in-hospital mortality after TBI was 0.92 (95% CI 0.80-0.91) and 0.91 (95% CI 0.88-0.93) respectively. The diagnostic odds ratio of the two scores for prediction of in-hospital mortality after TBI was 44.51 (95% CI 23.58-84.03) for GCS and 45.16 (95% CI 24.25-84.09) for FOUR score. As for prediction of unfavorable outcome after TBI, AUC of GCS and FOUR score were 0.95 (95% CI 0.93 to 0.97) and 0.93 (95% CI 0.91-0.95), respectively. The diagnostic odds ratios for prediction of unfavorable outcome after TBI were 66.31 (95% CI 35.05-125.45) for GCS and 45.39 (95% CI 23.09-89.23) for FOUR score.
CONCLUSION
Moderate level of evidence showed that the value of GCS and FOUR score in the prediction of in-hospital mortality and unfavorable outcome is comparable. The similar performance of these scores in assessment of TBI patients gives the medical staff the option to use either one of them according to the situation at hand.
Topics: Humans; Glasgow Coma Scale; Hospital Mortality; Brain Injuries, Traumatic; Databases, Factual; Area Under Curve; Prognosis
PubMed: 36152069
DOI: 10.1007/s00068-022-02111-w