Drug Trials Research Articles

Representation of Native Hawaiian and Pacific Islander Individuals in Clinical Trials.

Having diverse participants in clinical trials ensures new drug products work well across different demographic groups, making health care safer and more effective for everyone. Information on the extent of Native Hawaiian and Pacific Islander participation in clinical trials is limited. To examine representation of Native Hawaiian and Pacific Islanders in clinical trials leading to the first US Food and Drug Administration (FDA) approvals for the 10 drug products with the top worldwide sales forecasts in 2024. Cross-sectional secondary analysis of existing data from clinical trials that took place from 2006 to 2021 in the US. All clinical trials that were included in the FDA first approval application for the 10 drug products were evaluated in this study. Data were analyzed from February to August 2024. Participation in a clinical drug trial. Comparison of the proportion of Native Hawaiian and Pacific Islander participation in clinical trials for the 10 drug products with top sales forecasts in 2024 to the Native Hawaiian and Pacific Islander population proportion. In this cross-sectional study of 139 062 individuals, Native Hawaiian and Pacific Islander participation in clinical trials for the 10 drug products with top sales forecasts was either unknown or low. For 6 of the 10 drug products (60%), the number of Native Hawaiian and Pacific Islander participants was not documented. All trials that reported Native Hawaiian and Pacific Islander participation had fewer Native Hawaiian and Pacific Islander participants than would be expected based on their US population proportion, with 2 of the differences being statistically significant. Of the trials that disaggregated Native Hawaiian and Pacific Islander participants from other racial groups, the number of Native Hawaiian and Pacific Islander participants was 8 for risankizumab-rzaa (0.38% of participants vs 0.49% of the population; percentage point difference, -0.11%; 95% CI, -0.37% to -0.15%), 7 for bictegravir/emtricitabine/tenofovir alafenamide (0.38% of participants vs 0.49% of the population; percentage point difference, -0.10%; 95% CI, -0.39% to 0.18%), 27 for 4vHPV/9vHPV (0.15% of participants vs 0.46% of the population; percentage point difference, -0.31%; 95% CI, -0.37% to -0.26%), and 90 for BNT162B2 COVID-19 vaccine (0.20% of participants vs 0.52% of the population; percentage point difference, -0.32; 95% CI, -0.36% to -0.27%). In this cross-sectional study, limited documentation and participation of Native Hawaiian and Pacific Islander individuals in clinical trials for drug products with top sales forecasts was found. This is especially concerning because Native Hawaiian and Pacific Islander individuals have a higher risk than other racial groups for type 2 diabetes, cancer, and several other conditions the products examined in this study treat. Given the importance of enrolling Native Hawaiian and Pacific Islander participants in clinical trials, sites should be established in key geographic regions, such as Hawai'i, and postmarket studies should be conducted within Native Hawaiian and Pacific Islander populations.

Initiation response, maximized therapeutic efficacy, and post-treatment effects of biological targeted therapies in myasthenia gravis: a systematic review and network meta-analysis

BackgroundAs targeted drug development in myasthenia gravis (MG) continues to advance, it is important to compare the efficacy of these drugs for better clinical decision-making. However, due to the varied regimens and dosages used in clinical trials for different drugs, a standardized comparison between them is necessary.MethodsThis study enrolled participants in phase II and III trials of innovative targeted drugs for MG. The primary outcome was the change in Quantitative Myasthenia Gravis score (MG-QMG) from baseline. The efficacy of all drugs at four time points was separately analyzed at four time points: initiation 1 week, initiation 4 weeks, maximized response, and post last dose 4 weeks. A network meta-analysis was conducted to compare the results of the different drugs.ResultsA total of 9 drugs, including Efgartigimod, Rozanolixizumab, Batoclimab, Eculizumab, Belimumab, Zilucoplan, Ravulizumab, Nipocalimab, Rituximab, derived from 12 studies were analyzed. At the initiation 1-week time point, three drugs exhibited significant improvement compared to the placebo effect: Efgartigimod, Zilucoplan, Rozanolixizumab. At the initiation 4-week time point, four drugs showed significant improvement compared to the placebo effect: Efgartigimod, Rozanolixizumab, Batoclimab, Zilucoplan. At the maximized response time point, six drugs achieved significant improvement compared to the placebo effect: Efgartigimod, Rozanolixizumab, Batoclimab, Eculizumab, Zilucoplan, Ravulizumab. At the post last dose 4-week point, all drugs statistically showed no significant difference from the placebo.ConclusionAlthough the MG subtypes were not consistent across trials, within the regimen design of each trial, neonatal Fc receptor inhibitors—represented by Efgartigimod, Rozanolixizumab, and Batoclimab—exhibited the most effective response rates when compared to complement and B-cell inhibitor drugs.

Evaluating off-target drug effects seen in RCTs using proteomics and mendelian randomisation

Abstract Introduction Serious adverse drug effects are often not detected until late in drug development after thousands of patients have been exposed to an investigational drug in long and costly clinical trials. More efficient approaches are desirable. Proteomics-informed Mendelian randomisation (MR) can identify potential molecular mechanisms underlying off-target effects of pharmaceuticals and drug repurposing opportunities. Purpose As a demonstration of this approach, we used findings from a previous plasma proteomics study nested within a clinical trial of torcetrapib, which was terminated early because of an increased risk of cardiac events and mortality, in which 200 plasma proteins significantly increased (n=68) or decreased (n=132) after three months of torcetrapib use. We surveyed potential plasma protein-mediated causal effecs of torcetrapib on a wide array of relevant phenotypes in three broad domains: cardiovascular(n=10), immunological(n=9) and cancer(n=4), representing major categories of adverse outcomes that were more common in the treatment arm. Methods We performed three-sample MR on torcetrapib-associated proteins. First, we identified independent cis-pQTL instruments for these proteins in the Atherosclerosis Risk in Communities (ARIC) Study. Then, we used pQTL effect estimates from the deCODE study, to reduce the potential for bias due to winner’s curse and to increase precision. Lastly, we conducted MR analyses on disease-relevant phenotypes using a debiased-IVW estimator and summary results from the largest available GWAS on these phenotypes: coronary artery disease, ischaemic stroke, blood pressure, lipids, heart rate, QT interval, eGFR, serious infections, blood cell counts, immune cell fractions, and several cancers. The significance level for causal protein-phenotype associations was p=1.85E-5 (0.05/(104*26)), correcting for the 104 proteins with valid instruments and the 26 tested outcomes. Results Thirty-three proteins had evidence of a causal association with at least one phenotype. Seventeen proteins were associated with cardiovascular outcomes, including 8 for blood pressure and 9 for lipid levels. We identified more proteins, 25, associated with immune-related phenotypes. One protein was associated with cancer. Of note, 9 proteins had pleiotropic effects across several domains. Conclusions Our approach of using Mendelian randomisation to investigate the causal effects of plasma proteins impacted by medication with known off-target adverse effects revealed several novel causal relationships, highlighting the role of immune function in the development of cardiovascular disease. These results support the use of intermediate omics evaluation to identify potential biomarkers for safety monitoring for drug development and reveal avenues of investigation for drug repurposing.

TLR-4: a promising target for chemotherapy-induced peripheral neuropathy.

Chemotherapy-induced peripheral neuropathy (CIPN) affects a significant majority of cancer patients, with up to 80% experiencing this severe and dose-limiting side effect while undergoing anti-cancer treatment. CIPN can be induced by a variety of drugs commonly employed in the management of both solid tumors and hematologic cancers. The inadequacies in comprehending the pharmacological interventions associated with CIPN and the subsequent signaling pathways have significantly contributed to the disappointing outcomes of several drugs in clinical trials. Recent investigations in pain research have demonstrated a growing inclination toward addressing neuro-inflammation as a strategy for managing chronic pain conditions. Notably, toll-like receptor-4 (TLR-4) has emerged as a key player in immune system activation and is undergoing extensive research. In this review, we emphasize the potential role of TLR-4 in neuropathic pain, highlighting its promise as a target for CIPN treatment. Furthermore, we explore and analyse the intricate interplay between TLR-4, diverse immune cells, downstream pathways, and receptors within the context of CIPN. A comprehensive exploration of these interactions provides valuable insights into the central role of TLR-4 in CIPN development, paving the way for potential ground-breaking therapeutic approaches to alleviate this debilitating condition.

Role of ventricular tachycardia cycle length in the outcomes after catheter ablation or antiarrhythmic drugs in the SURVIVE-VT trial

Abstract Background It has been suggested that antiarrhythmic drugs (AAD) are less effective and safe in slow ventricular tachycardia (VT) due to their effect on conduction velocity, which could stabilize reentry. Conversely, catheter ablation aims to disrupt the VT circuit. Because of the distinct mechanisms of action of AAD and catheter ablation on the VT circuit, VT cycle length (VT-CL) may play a crucial role in determining their therapeutic efficacy. Therefore, VT-CL could be important in selecting VT treatment. Purpose The aim of this study was to assess the impact of VT-CL on outcomes following catheter ablation or antiarrhythmic drugs in AAD-naïve patients with ischemic cardiomyopathy presenting with VT. Methods This is a post hoc analysis of the previously published Substrate Ablation vs Antiarrhythmic Drug Therapy for Symptomatic Ventricular Tachycardia (SURVIVE-VT) trial. In summary, 144 patients with ischemic cardiomyopathy and symptomatic VT were randomized to receive either catheter ablation (N=71) or AAD (N=73) as first-line therapy. We analyzed VT recurrence, implantable cardioverter-defibrillator (ICD) therapies, and the incidence of slow/incessant VT/VT storm using Cox proportional hazard models, with treatment and VT-CL interaction terms, adjusted for age. Missing VT-CL data for five patients were imputed using the median value. Results In patients with chronic ischemic heart disease and VT treated with either AAD or catheter ablation, a significant interaction was observed between clinical VT-CL and treatment effect on VT recurrence (p=0.016 for the interaction). Specifically, slower VT cycle lengths were associated with higher rates of VT recurrence (hazard ratio per 10 ms [HR] 1.094, 95% confidence interval [CI] 1.015, 1.179; p=0.037) in patients treated with AAD, while no significant effect was observed in those undergoing catheter ablation (see Figure 1). Survival freedom from VT recurrence in patients with VT-CL ≥300ms was significantly higher in patients treated with catheter ablation (78.8% vs 58.1%, log-rank p=0.044, see Figure 2). As expected, VT-CL was significantly associated with a higher risk of slow/incessant VT/VT storm (HR per 10 ms 1.115, 95% CI 1.017-1.222, p=0.047) but was not associated with ICD therapies (HR per 10 ms 1.082, 95% CI 0.994-1.178, p=0.102). Conclusion VT-CL significantly influences treatment outcomes, with slower VT cycles associated with an increased risk of VT recurrence in patients treated with AAD, but not in those undergoing catheter ablation. Therefore, VT-CL should be taken into consideration when selecting the optimal therapy for patients with ischemic cardiomyopathy and VT.Figure 1Figure 2

Association of MRI-based knee osteoarthritis structural phenotypes with short-term structural progression and subsequent total knee replacement

BackgroundThe failure of disease-modifying osteoarthritis drugs (DMOADs) trials lies mainly in the heterogeneity of the disease, which calls for a more precise population with specific progression and outcomes. This study aimed to determine whether and which MRI-based structural phenotype of knee osteoarthritis (KOA) is associated with short-term structural progression and subsequent total knee replacement (TKR).MethodsA longitudinal study was conducted among participants with baseline Kellgren-Lawrence grade (KLG) ≥ 2 from the Osteoarthritis Initiative (OAI). The structural phenotypes at baseline were defined as subchondral bone, meniscus/cartilage and inflammatory phenotypes according to the MRI Osteoarthritis Knee Score (MOAKS). The primary outcome was the progression of structural abnormalities within 24 months and multivariable logistic regressions were applied to evaluate the associations. The secondary outcome was the incidence of TKR during 108 months. Cox regressions and Kaplan–Meier survival curves were used for the analysis.ResultsA total of 733 participants with KOA were finally included in our study, with 493 (67.3%) having the three main structural phenotypes. For the primary outcome, the subchondral bone phenotype (OR [95% CI]:1.71 [1.02, 2.83], 1.52 [1.06, 2.18], 1.65 [1.11, 2.42], respectively) and the inflammatory phenotype (OR [95% CI]: 1.69 [1.05, 2.74], 1.82 [1.31, 2.52], 2.15 [1.48, 3.14], respectively) were both associated with the short-term progression of joint space narrowing, osteophytes and sclerosis in 24 months, whereas the meniscus/cartilage phenotype was only associated with the progression of osteophytes and sclerosis. For the secondary outcome, the subchondral bone phenotype (HR [95% CI]: 1.71 [1.06–2.78]) and inflammatory phenotype (HR [95%CI]: 2.00 [1.02–2.67]) were associated with shorter time to subsequent TKR, but not the meniscus/cartilage phenotype. Besides, the cumulative effect when the structural phenotype overlapped was confirmed in both outcomes.ConclusionsThe subchondral bone phenotype and inflammatory phenotype were associated with the progression of joint space narrowing, osteophytes and sclerosis in 24 months, along with subsequent TKR in 108 months. Besides, additive effects of overlapped phenotypes were further determined. These phenotypes could serve as valuable screening tools for future clinical trials and provide guidance for risk evaluation.

In-silico insights into personalised therapy selection of anti-arrhythmic drugs and ablation using patient-specific biatrial models for atrial fibrillation

Abstract Introduction Current treatment approaches for Atrial Fibrillation (AF) often lack personalisation, adopting a one-size-fits-all paradigm that disregards inter-patient diversity and its unique interplay with therapeutic responses. In-silico drug trials have demonstrated some value in the personalisation of care; however, their integration with patient-specific anatomical data and the synergistic effects of combined therapies remain unknown. Purpose To evaluate the patient-specific response to anti-arrhythmic drugs (AADs) and their efficacy both individually and in combination with pulmonary vein isolation (PVI) using personalised biatrial models created from imaging data. Methods Patient-specific biatrial models (n=70) were constructed from late gadolinium-enhanced MRI images by manual segmentation from the Atrial Segmentation Challenge (2018) dataset (Fig.1A). Models were pre-processed with landmark selection, regional assignment, and fibre allocation before simulations (Fig.1B). PVI was modelled as electrically inert rings around the pulmonary veins (Fig.1C) and AADs were administered via ionic modulation within CARPentry software (Fig.1D). Four commonly used AADs were evaluated: vernakalant, acute and chronic amiodarone, flecainide, and digoxin. Finite element simulations were performed with the addition of AADs, both individually and in combination with PVI, to evaluate their efficacy in terminating AF (Fig.2A). These simulations were post-processed to produce phase singularity (PS) density maps to evaluate changes in wavefront patterns and locations of re-entry and wavefront break-up (Fig.2B). Results The combination of digoxin with PVI and digoxin alone demonstrated the highest effectiveness in terminating AF, both achieving success in 68.4% of cases (95% CI: 67.5% to 89.3%, p≤0.0001). This efficacy significantly exceeded that of other AADs used either alone or in combination with PVI (15.8%-57.9%), whereas PVI alone demonstrated 0% efficacy (p≤0.05). The combined therapy exhibited a multi-faceted localisation pattern (Fig.2A), with AADs initially redistributing PSs to the pulmonary veins and left atrial appendage. This redistribution resulted in synergistic effects in terminating AF episodes in 52.6% more cases when combined with PVI (Fig.2B). Comparative analyses showed an inverse correlation between baseline PS density count and anatomical surface area with AF termination across all treatments, with significant correlations observed with vernakalant alone (rho=-0.55, p≤0.05) and combined with PVI (rho=-0.77, p≤0.05). Conclusions This study demonstrates the significance of personalised treatment selection in optimising patient outcomes. Combined therapeutic interventions have shown synergistic benefits in AF termination, surpassing individual therapies in this patient-specific model cohort. This shows the translational potential of using patient-specific stratification to inform treatment selection.Biatrial model generationAF therapeutic simulation and processing

Considerations for drug trials in hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is a heterogeneous condition with potentially serious manifestations. Management has traditionally comprised therapies to palliate symptoms and implantable cardioverter-defibrillators to prevent sudden cardiac death. The need for disease-modifying therapies has been recognized for decades. More recently, an increasing number of novel and repurposed therapies hypothesized to target HCM disease pathways have been evaluated, culminating in the recent regulatory approval of mavacamten, a novel oral myosin inhibitor. HCM poses several unique challenges for clinical trials, which are important to recognize when designing trials and interpreting findings. This manuscript discusses the key considerations in the context of recent and ongoing randomized trials, including the roles of genotype, phenotype and symptom status in patient selection, the evidence base for clinical and mechanistic outcome measurements, trial duration and sample size.

Long-Term Effects of Empagliflozin in Patients with Chronic Kidney Disease.

In the EMPA-KIDNEY trial, empagliflozin, a sodium-glucose cotransporter 2 (SGLT2) inhibitor, had positive cardiorenal effects in patients with chronic kidney disease who were at risk for disease progression. Post-trial follow-up was designed to assess how the effects of empagliflozin would evolve after the discontinuation of the trial drug. In the active trial, patients with chronic kidney disease were randomly assigned to receive either empagliflozin (10 mg once daily) or matching placebo and were followed for a median of 2 years. All the patients had an estimated glomerular filtration rate (eGFR) of at least 20 but less than 45 ml per minute per 1.73 m2 of body-surface area or an eGFR of at least 45 but less than 90 ml per minute per 1.73 m2 with a urinary albumin-to-creatinine ratio (with albumin measured in milligrams and creatinine measured in grams) of at least 200. Subsequently, surviving patients who consented were observed for 2 additional years. No trial empagliflozin or placebo was administered during the post-trial period, but local practitioners could prescribe open-label SGLT2 inhibitors, including open-label empagliflozin. The primary composite outcome was kidney disease progression or cardiovascular death as assessed from the start of the active-trial period to the end of the post-trial period. Of the 6609 patients who had undergone randomization in the active trial, 4891 (74%) were enrolled in the post-trial period. During this period, the use of open-label SGLT2 inhibitors was similar in the two groups (43% in the empagliflozin group and 40% in the placebo group). During the combined active- and post-trial periods, a primary-outcome event occurred in 865 of 3304 patients (26.2%) in the empagliflozin group and in 1001 of 3305 patients (30.3%) in the placebo group (hazard ratio, 0.79; 95% confidence interval [CI], 0.72 to 0.87). During the post-trial period only, the hazard ratio for a primary-outcome event was 0.87 (95% CI, 0.76 to 0.99). During the combined periods, the risk of kidney disease progression was 23.5% in the empagliflozin group and 27.1% in the placebo group; the risk of the composite of death or end-stage kidney disease was 16.9% and 19.6%, respectively; and the risk of cardiovascular death was 3.8% and 4.9%, respectively. There was no effect of empagliflozin on death from noncardiovascular causes (5.3% in both groups). In a broad range of patients with chronic kidney disease at risk for progression, empagliflozin continued to have additional cardiorenal benefits for up to 12 months after it was discontinued. (Funded by Boehringer Ingelheim and others; EMPA-KIDNEY ClinicalTrials.gov number, NCT03594110; EuDRACT number, 2017-002971-24.).

Advancements of anticancer agents by targeting the Hippo signalling pathway: biological activity, selectivity, docking analysis, and structure-activity relationship.

The Hippo signalling pathway is prominent andgoverns cell proliferation and stem cell activity, acting as a growth regulator and tumour suppressor. Defects in Hippo signalling and hyperactivation of its downstream effector's Yes-associated protein (YAP) and transcriptional co-activator with PDZ-binding motif (TAZ) play roles in cancer development, implying that pharmacological inhibition of YAP and TAZ activity could be an effective cancer treatment strategy. Conversely, YAP and TAZ can also have beneficial effects in promoting tissue repair and regeneration following damage, therefore their activation may be therapeutically effective in certain instances. Recently, a complex network of intracellular and extracellular signalling mechanisms that affect YAP and TAZ activity has been uncovered. The YAP/TAZ-TEAD interaction leads to tumour development and the protein structure of YAP/TAZ-TEAD includes three interfaces and one hydrophobic pocket. There are clinical and preclinical trial drugs available to inhibit the hippo signalling pathway, but these drugs have moderate to severe side effects, so researchers are in search of novel, potent, and selective hippo signalling pathway inhibitors. In this review, we have discussed the hippo pathway in detail, including its structure, activation, and role in cancer. We have also provided the various inhibitors under clinical and preclinical trials, and advancement of small molecules their detailed docking analysis, structure-activity relationship, and biological activity. We anticipate that the current study will be a helpful resource for researchers.

Exploring the efficacy of cholinergic agents for the treatment of psychostimulant use disorder: a systematic review.

No drugs are currently validated to treat psychostimulant use disorder (PUD). Pathophysiological studies consistently highlight the contribution of cholinergic mechanisms in psychostimulant use, including the vulnerability to PUD, paving the way for potential therapeutic strategies. The aim of this systematic review is to describe and discuss the efficacy of cholinergic agents in drug trials for patients with PUD. A systematic review was conducted on April 4, 2024 in MedLine, Embase and Cochrane Library databases on controlled clinical drug trial of cholinergic agents in humans with PUD, psychostimulant abuse or dependence and psychostimulant use in recent year. Twenty-eight articles were included, twenty-one on cocaine and seven on amphetamines. Cholinergic agents used in these studies were biperiden (a muscarinic antagonist), mecamylamine (a nicotinic antagonist), nicotinic agonists, acetylcholinesterase inhibitors (AChEI), or citicoline. Two types of trials were identified. There were seventeen randomized controlled clinical trials evaluating cholinergic agents on psychostimulant use reduction in outpatients seeking treatment. Additionally, we retrieved eleven short-term «proof-of-concept» laboratory trials mainly with supervised psychostimulant administration and/or triggered craving challenges. Outpatient trials were heterogeneous and for most, inconclusive. Only two studies on galantamine (AChEI) and citicoline, reported a significant reduction of cocaine consumption. «Proof-of-concept» laboratory trials showed no evidence of efficacy on the selected outcomes, notably on craving. This review does not support the current prescription of cholinergic agents to treat PUD. Replication clinical trials notably on galantamine or other AChEI, and proof-of-concept trials on comedown symptoms will be necessary to identify a potential therapeutic indication for cholinergic agents in PUD.

Juvenile Dermatomyositis: Updates in Pathogenesis and Biomarkers, Current Treatment, and Emerging Targeted Therapies.

Juvenile dermatomyositis is a rare systemic inflammatory autoimmune disease involving muscle, skin, and vessels. Most patients do not fully respond to initial therapy, instead having a chronic refractory or polycyclic disease course. Pathogenesis is not completely understood, but immune cell dysregulation, particularly of B cells, mitochondrial dysfunction, changes in neutrophils and neutrophil extracellular traps (NETs), and increased type I and type II interferon (IFN) signaling have been described. There are limited randomized controlled trials of drugs in juvenile dermatomyositis (JDM), and treatment is largely based on lower-quality data such as case series, retrospective studies, and open-label prospective studies. These data have been compiled into expert recommendations or consensus treatment plans, which help guide therapy. While initial therapy is more standard with most including corticosteroids (high-dose oral and/or pulse intravenous methylprednisolone) and methotrexate, for refractory patients, guidelines are more varied with multiple options or combinations, including biologic therapies. There is a clear need for more efficacious and personalized therapy in JDM. Emerging treatment options worthy of further study in JDMinclude targetingIFN-signaling (JAK, IFNAR1, IFN beta),B-cells (CD20, CD19, BAFF, TACI, CD38, BCMA)including Chimeric Antigen Receptor (CAR)-T cell therapy, mitochondrial dysfunction, and NETs.

Tau Immunotherapies for Alzheimer's Disease and Related Tauopathies: Status of Trials and Insights from Preclinical Studies.

The tau protein undergoes pathological changes in Alzheimer's disease and other tauopathies that eventually lead to functional impairments. Over the years, several therapeutic approaches have been examined to slow or halt the progression of tau pathology but have yet to lead to an approved disease-modifying treatment. Of the drugs in clinical trials that directly target tau, immunotherapies are the largest category and mostly consist of antibodies in different stages of development. There is a reasonable optimism that at least some of these compounds will have a clinically meaningful efficacy. This view is based on the significant although modest efficacy of some antibodies targeting amyloid-β in Alzheimer's disease and the fact that tau pathology correlates much better with the degree of dementia than amyloid-β lesions. In Alzheimer's disease, clearing pathological tau may therefore improve function later in the disease process than when removing amyloid-β. This review provides a brief update on the active and passive clinical tau immunization trials with insight from preclinical studies. Various epitopes are being targeted and some of the antibodies are said to target extracellular tau but because almost all of pathological tau is found intracellularly, the most efficacious antibodies should be able to enter the cell.

Functional Magnetic Resonance Imaging in Alzheimer's Disease Drug Trials: A Mini-Review.

Alzheimer's disease (AD) is a progressive neurodegenerative pathology that leads to cognitive decline and dementia, particularly in older adults. It disrupts brain structure and function, with neurotoxic amyloid-β (Aβ) plaques being a primary pathological hallmark. Pharmacotherapeutic trials targeting Aβ and other AD pathological features aim to slow disease progression. Functional magnetic resonance imaging (fMRI) is a non-invasive tool that visualizes brain functional activity, aiding in evaluating the efficacy of AD drugs in clinical trials. This mini-review explores the role of fMRI in evaluating the impact of AD pharmacotherapeutic clinical trials conducted in the past seven years. Literature was systematically searched using two databases. The risk of bias was assessed with the Revised Cochrane risk-of-bias tool (RoB-2) for randomized clinical trials (RCTs). Four studies using fMRI to investigate AD drug efficacy were included. Cholinesterase, glutamatergic, and serotonergic drugs showed significant positive effects on brain functional activity, especially within the default mode network. Functional connectivity (FC) changes due to drug intake were linked to cerebellar and cholinergic decline in AD, correlating with improved global cognition and fMRI task performance. Recent RCTs demonstrate fMRI's ability to reveal longitudinal FC pattern changes in response to AD drug treatments across disease stages. Positive FC changes in distinct brain regions suggest potential compensatory mechanisms from drug intake. However, these drugs have limited efficacy, necessitating further research to enhance specific pharmacological interventions for clinical application.

Experimental investigation of the polyhedral structure of BIBDs

We examine the polyhedral structure of Balanced Incomplete Block Designs (BIBDs) in an effort to improve runtimes for finding optimal solutions via constraint or integer program. For example, an optimal BIBD is one that minimizes the range of blocksums. This range, which we refer to as diffsum, has applications in drug trials and Redundant Arrays of Independent Disks (RAID). The polytope we explore is the convex hull of all lexicographically-ordered BIBD solutions satisfying a given set of parameters, ( v , b , r , k , λ ) , with solutions represented as a vector in R kb . The dimension-reducing equations and the facets for some of the smaller polytopes were found by using the Double-Description Method on a algebraic program modelling these solutions. Because of the presence of the lexicographic ordering, none of these polytopes are full dimensional. After describing some of these smaller BIBD polytopes, we generalize some dimension-reducing equations, and evaluate the efficiency of these equations to optimization models.

Glial-modulating agents for the treatment of pain: a systematic review.

Preclinical research supports a critical role for nervous system glia in pain pathophysiology. This systematic review of human trials of potential glia-modulating drugs for the prevention or treatment of pain followed a predefined search strategy and protocol registration. We searched for English language, randomized, double-blind trials comparing putative glia-modulating drugs to placebo or other comparators. The primary outcomes included validated participant-reported measures of pain intensity or relief and, in studies of opioid administration, measures of opioid consumption and/or opioid-related adverse effects. Twenty-six trials (2132 participants) of glial modulators (12 minocycline, 11 pentoxifylline, and 3 ibudilast) were included. Because of clinical heterogeneity related to study drug, participant population, outcome measures, and trial design, no meta-analysis was possible. Only 6 trials reported a positive effect of the treatment (pentoxifylline-4 trials; minocycline-2 trials), whereas 11 trials reported mixed results and 9 trials reported no effect. This review does not provide convincing evidence of efficacy of current pharmacological targets of nervous system glial function for pain treatment or prevention. However, in light of ample preclinical evidence of the importance of neuroimmune signalling and glial functions in pain pathophysiology, continued strategic human research is anticipated to identify (1) drugs with maximal activity as selectively targeted glial modulators, (2) the necessary timing and duration of pharmacological glial modulation needed for pain prevention or treatment for specific injuries or pain conditions, and (3) the best design of future clinical trials of glial-targeted drugs for pain treatment and/or prevention.

Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score

Identifying genetic drivers of chronic diseases is necessary for drug discovery. Here, we develop a machine learning-assisted genetic priority score, which we call ML-GPS, that incorporates genetic associations with predicted disease phenotypes to enhance target discovery. First, we construct gradient boosting models to predict 112 chronic disease phecodes in the UK Biobank and analyze associations of predicted and observed phenotypes with common, rare, and ultra-rare variants to model the allelic series. We integrate these associations with existing evidence using gradient boosting with continuous feature encoding to construct ML-GPS, training it to predict drug indications in Open Targets and externally testing it in SIDER. We then generate ML-GPS predictions for 2,362,636 gene-phecode pairs. We find that the use of predicted phenotypes, which identify substantially more genetic associations than observed phenotypes across the allele frequency spectrum, significantly improves the performance of ML-GPS. ML-GPS increases coverage of drug targets, with the top 1% of all scores providing support for 15,077 gene-phecode pairs that previously had no support. ML-GPS can also identify well-known target-disease relationships, promising targets without indicated drugs, and targets for several drugs in clinical trials, including LRRK2 inhibitors for Parkinson’s disease and olpasiran for cardiovascular disease.

PET Imaging of Breast Cancer: Current Applications and Future Directions.

As molecular imaging use expands for patients with breast cancer, it is important for breast radiologists to have a basic understanding of molecular imaging, including PET. Although breast radiologists may not directly interpret such studies, basic knowledge of molecular imaging will enable the radiologist to better direct diagnostic workup of patients as well as discuss diagnostic imaging with the patient and other treating physicians. Several new tracers are now available to complement imaging glucose metabolism with FDG. Because it provides a noninvasive assessment of disease status across the whole body, PET offers specific advantages over tissue-based assays. Paired with targeted therapy, molecular imaging has the potential to guide personalized treatment of breast cancer, including guiding dosing during drug trials as well as predicting and assessing clinical response. This review discusses the current established applications of FDG, which remains the most widely used PET radiotracer for malignancy, including breast cancer, and highlights potential areas for expanded use based on recent research. It also summarizes research to date on the U.S. Food and Drug Administration (FDA)-approved PET tracer 16α-18F-fluoro-17β-estradiol (FES), which targets ER, including the current guidelines from the Society of Nuclear Medicine and Molecular Imaging on the appropriate use of FES-PET/CT for breast cancer as well as areas of active investigation for other potential applications. Finally, the review highlights several of the most promising novel PET tracers that are poised for clinical translation in the near future.

Emerging RNAi Therapies to Treat Hypertension.

Hypertension (HTN), often dubbed the "silent killer," poses a significant global health challenge, affecting over 1.3 billion individuals. Despite advances in treatment, effective long-term blood pressure (BP) control remains elusive, necessitating novel therapeutic approaches. Poor control of BP remains a leading cause of cardiovascular morbidity and mortality worldwide and is becoming an even larger global health problem due to the aging population, rising rates of obesity, poorer dietary patterns and overall cardiometabolic health, and suboptimal rates of patient adherence and optimal BP control. Ribonucleic acid interference (RNAi) technology, which leverages the body's natural gene-silencing mechanism, has emerged as a promising strategy for several diseases and has recently been tested for its antihypertensive effects. We systematically reviewed peer-reviewed articles from databases including PubMed, EMBASE, and Scopus for studies examining RNAi's role in managing HTN, focusing on mechanisms, clinical utility, and safety profile. Key early-phase trials of some RNAi-leading candidate drugs are detailed. Also highlighted are challenges such as target specificity, delivery mechanisms, durability of effect, and immunogenicity. We conclude by summarizing how RNAi has a significant potential role in HTN therapy due to their unique benefits, such as long-term duration of action, infrequent dosing, and lack of major side effects.

Clinical trials of drugs: Current state of the regulatory problem and proposals for reform

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