Digoxin-induced anemia among patients with atrial fibrillation and heart failure: clinical data analysis and drug-gene interaction network

Anticholinergic burden in older adults with psychiatric illnesses: A cross-sectional study

OBJECTIVES

We aimed in this study to determine the extent of exposure to anticholinergic drugs in older adults with psychiatric illnesses using the anticholinergic cognitive burden (ACB) scale and to identify the factors associated with anticholinergic drugs use and higher ACB scores.

METHODS

A cross-sectional study was conducted in the psychogeriatric division of an elderly care hospital. The study sample comprised all inpatients, aged ≥65 years, and diagnosed with psychiatric illness.

RESULTS

Anticholinergic drugs use was reported in 117 (79.6 %) patients, 76 (51.7 %) had an ACB score ≥ 3. Schizophrenia [OR = 5.4 (95 % CI 1.1-10.2), p = 0.02], anemia [OR = 2.2 (95 % CI 1.54-7.89), p = 0.01], and anticholinergic adverse effects [OR = 2.8 (95 % CI 1.12-7.07), p = 0.04] were significantly associated with a higher likelihood of using anticholinergic drugs. The odds of having an ACB score ≥ 3 over an ACB score = 0 were significantly increased by schizophrenia [OR = 4.9 (95 % CI 1.65-8.02), p = 0.01], anemia [OR = 1.32 (95 % CI 1.90-6.90), p = 0.02], and polypharmacy [OR = 1.74 (95 % CI 1.10-2.40), p = 0.04], while they were significantly decreased by age [OR = 0.86 (95 % CI 0.78-0.96), p < 0.001]. Patients with cognitive impairment were less likely than those without cognitive impairment to have an ACB score ≥ 3 over an ACB score = 0.

CONCLUSIONS

Our study revealed that older adults with psychiatric illnesses were exposed to high anticholinergic burden.

Anemia and Heart Failure: A Narrative Review

Anemia in heart failure patients is a relatively common finding and has been linked with an increased risk of hospital admissions, morbidities, and significant mortality making its correction a significant factor in improving the quality of life and clinical outcomes in those suffering from it. This review article has discussed the multifactorial pathophysiology, including iron deficiency, longstanding inflammation, abnormal levels of human erythropoietin (Epo), and the abnormal activation of the renin-angiotensin-aldosterone system (RAAS) being the most significant. The diagnostic guidelines as well as research-based management modalities specifically with iron supplements and erythropoietin stimulating agents have also been discussed, although research done in this area has been limited and shown conflicting results.

Neuropsychiatric Adverse Events of Montelukast: An Analysis of Real-World Datasets and drug-gene Interaction Network

Montelukast is a selective leukotriene receptor antagonist that is widely used to treat bronchial asthma and nasal allergy. To clarify the association between montelukast and neuropsychiatric adverse events (AEs), we evaluated case reports recorded between January 2004 and December 2018 in the Food and Drug Administration Adverse Event Reporting System (FAERS). Furthermore, we elucidated the potential toxicological mechanisms of montelukast-associated neuropsychiatric AEs through functional enrichment analysis of human genes interacting with montelukast. The reporting odds ratios of suicidal ideation and depression in the system organ class of psychiatric disorders were 21.5 (95% confidence interval (CI): 20.3–22.9) and 8.2 (95% CI: 7.8–8.7), respectively. We explored 1,144 human genes that directly or indirectly interact with montelukast. The molecular complex detection (MCODE) plug-in of Cytoscape detected 14 clusters. Functional analysis indicated that several genes were significantly enriched in the biological processes of “neuroactive ligand–receptor interaction.” “Mood disorders” and “major depressive disorder” were significant disease terms related to montelukast. Our retrospective analysis based on the FAERS demonstrated a significant association between montelukast and neuropsychiatric AEs. Functional enrichment analysis of montelukast-associated genes related to neuropsychiatric symptoms warrant further research on the underlying pharmacological mechanisms.

The Interplay between Anticholinergic Burden and Anemia in Relation to 1-Year Mortality among Older Patients Discharged from Acute Care Hospitals

Anticholinergic burden (ACB) and anemia were found associated with an increased risk of death among older patients. Additionally, anticholinergic medications may contribute to the development of anemia. Therefore, we aimed at investigating the prognostic interplay of ACB and anemia among older patients discharged from hospital. Our series consisted of 783 patients enrolled in a multicenter observational study. The outcome of the study was 1 year mortality. ACB was assessed by an Anticholinergic Cognitive Burden score. Anemia was defined as hemoglobin < 13 g/dL in men and <12 g/dL in women. The association between study variables and mortality was investigated by Cox regression analysis. After adjusting for several potential confounders, ACB score = 2 or more was significantly associated with the outcome in anemic patients (HR = 1.93, 95%CI = 1.13–3.40), but not non anemic patients (HR = 1.51, 95%CI = 0.65–3.48). An additive prognostic interaction between ACB and anemia was observed (p = 0.02). Anemia may represent a relevant effect modifier in the association between ACB and mortality.

Gentamicin-induced hearing loss: A retrospective study using the Food and Drug Administration Adverse Event Reporting System and a toxicological study using drug-gene network analysis

The objectives of the study were to evaluate the relationship between gentamicin (GEN) and hearing loss using the Food and Drug Administration Adverse Event Reporting system (FAERS) database and elucidate the potential toxicological mechanism of GEN-induced hearing loss through a drug–gene network analysis.

Using the preferred terms and standardized queries from the Medical Dictionary for Regulatory Activities, we calculated the reporting odds ratios (RORs). We extracted GEN-associated genes (seed genes) and analyzed drug−gene interactions using the ClueGO plug-in in the Cytoscape software and the DIseAse MOdule Detection (DIAMOnD) algorithm.

The lower limit of the 95% confidence interval (CI) of the ROR for aminoglycosides (AG) antibacterials was over 1, and the ROR was 5.5 (5.1–6.0). We retrieved 17 seed genes related to GEN from the PharmGKB and Drug Gene Interaction databases. In total, 1018 human genes interacting with GEN were investigated using ClueGO. Through Molecular Complex Detection (MCODE) analysis, we identified 17 local gene clusters. The nodes and edges of the highest-ranked local gene cluster named “Cluster 1” were 30 and 433, respectively. According to the ClueGO analysis using the Kyoto Encyclopedia of Genes and Genomes (KEGG), Cluster 1 genes were highly enriched in “oxidative phosphorylation.” According to the ClueGO analysis using ClinVar, Cluster 1 genes were highly enriched in “mitochondrial diseases,” “mitochondrial complex I deficiency,” “hereditary hearing loss and deafness,” and “Leigh syndrome.” We identified 60 GEN-associated genes using the DIAMOnD algorithm. Several GEN-associated genes in the DIAMOnD algorithm were highly enriched in “PI3K-Akt signaling pathway,” “Ras signaling pathway,” “focal adhesion,” “MAPK signaling pathway,” “regulation of actin cytoskeleton,” “oxidative phosphorylation,” and “ECM-receptor interaction.”

Our analysis demonstrated an association between several AGs and hearing loss using the FAERS database. Drug−gene network analysis demonstrated that GEN may be associated with oxidative phosphorylation-associated genes and integrin genes, which may be associated with hearing loss.

Analysis of chemotherapy-induced peripheral neuropathy using the Japanese Adverse Drug Event Report database

Chemotherapy-induced peripheral neuropathy (CIPN) is a common adverse event associated with several antineoplastic drugs; however, the precise risks and time course of reactions of particular drugs are not clearly understood. The aim of this study was to evaluate the relationship between anticancer agents and CIPN development using data from the Japanese Adverse Drug Event Report (JADER) database and to characterize the time-to-onset and outcomes of CIPN. Chemotherapy-induced peripheral neuropathy was defined using the Medical Dictionary for Regulatory Activities preferred terms. Disproportionality analysis was performed by calculating the reporting odds ratio (ROR) with 95% confidence interval for signal detection. Data of nine Anatomical Therapeutic Chemical (ATC) drug categories correlated with CIPN development, in addition to the data of the time-to-onset and outcomes. Among 622,289 reports in the JADER database from April 2004 to March 2020, there were 1883 reports of adverse events corresponding to peripheral neuropathy. The ROR (95% confidence interval) for vinblastine, sorbent-based paclitaxel (sb-PTX), oxaliplatin, and bortezomib was 20.4 (12.5–33.4), 13.6 (11.9–15.7), 26.2 (23.6–29.1), and 30.8 (26.6–35.8), respectively. The median duration (interquartile range) to CIPN development after the administration of vinca alkaloids and analogues, taxanes, platinum compounds, and monoclonal antibodies was 11.0 (5.0–46.5), 22.5 (6.0–82.5), 22.0 (6.0–68.5), and 32.5 (11.3–73.8) days, respectively. The median duration (interquartile range) of sb-PTX and nanoparticle albumin-bound (nab)-PTX was 35.0 (7.0–94.0) and 5.5 (3.0–29.3) days, respectively. Our analysis of records in the JADER database revealed several drugs associated with a high risk for CIPN development. In particular, the development of CIPN after vinca alkaloid administration should be closely monitored for 2 weeks after administration. CIPN caused by nab-PTX showed significantly faster onset than that by sb-PTX. Patients who receive taxanes or monoclonal antibodies often do not show an improvement; accordingly, early treatment is required.

Anemia in heart failure - from guidelines to controversies and challenges

Anemia associated with heart failure is a frequent condition, which may lead to heart function deterioration by the activation of neuro-hormonal mechanisms. Therefore, a vicious circle is present in the relationship of heart failure and anemia. The consequence is reflected upon the patients’ survival, quality of life, and hospital readmissions. Anemia and iron deficiency should be correctly diagnosed and treated in patients with heart failure. The etiology is multifactorial but certainly not fully understood. There is data suggesting that the following factors can cause anemia alone or in combination: iron deficiency, inflammation, erythropoietin levels, prescribed medication, hemodilution, and medullar dysfunction. There is data suggesting the association among iron deficiency, inflammation, erythropoietin levels, prescribed medication, hemodilution, and medullar dysfunction. The main pathophysiologic mechanisms, with the strongest evidence-based medicine data, are iron deficiency and inflammation. In clinical practice, the etiology of anemia needs thorough evaluation for determining the best possible therapeutic course. In this context, we must correctly treat the patients’ diseases; according with the current guidelines we have now only one intravenous iron drug. This paper is focused on data about anemia in heart failure, from prevalence to optimal treatment, controversies, and challenges.

Potential biomarkers for heart failure

In this study, we identified candidate biomarkers for heart failure (HF). The gene expression profile GSE57338, containing 117 ischemic cardiomyopathic HF and 136 control samples, was downloaded and analyzed using various bioinformatics approaches. In total, 376 differentially expressed genes (DEGs) were identified, and four modules were explored in protein-protein interaction networks. DEGs (including ankyrin repeat and SOCS box-containing 14 [ASB14]) in the modules were mainly categorized by the function. Several relationships including interferon regulatory factor 1 (IRF1)-C-C motif chemokine ligand 5 (CCL5) were revealed in the transcription factor microRNA target gene regulatory network. Gene-drug analysis revealed 11 DEGs (such as the cluster of differentiation 163 [CD163]) for the target drugs. Data verification analysis identified 118 overlapping DEGs including ASB14, CD163, and CCL5. ASB14 may be involved in HF progression via protein ubiquitination and CCL5 may be involved in HF via the IRF1-CCL5 interaction. Genes including CD163 are potential biomarkers for HF.