Overcoming barriers to the use of metformin: patient and provider perspectives

Overview of Metformin and Neurodegeneration: A Comprehensive Review

This comprehensive review examines the therapeutic potential of metformin, a well-established diabetes medication, in treating neurodegenerative disorders. Originally used as a first-line treatment for type 2 diabetes, recent studies have begun investigating metformin's effects beyond metabolic disorders, particularly its neuroprotective capabilities against conditions like Parkinson's disease, Alzheimer's disease, Huntington's disease, and multiple sclerosis. Key findings demonstrate that metformin's neuroprotective effects operate through multiple pathways: AMPK activation enhancing cellular energy metabolism and autophagy; upregulation of antioxidant defenses; suppression of inflammation; inhibition of protein aggregation; and improvement of mitochondrial function. These mechanisms collectively address common pathological features in neurodegeneration and neuroinflammation, including oxidative stress, protein accumulation, and mitochondrial dysfunction. Clinical and preclinical evidence supporting metformin's association with improved cognitive performance, reduced risk of dementia, and modulation of pathological hallmarks of neurodegenerative diseases is critically evaluated. While metformin shows promise as a therapeutic agent, this review emphasizes the need for further investigation to fully understand its mechanisms and optimal therapeutic applications in neurodegenerative diseases.

Large Language Model GPT-4 Compared to Endocrinologist Responses on Initial Choice of Glucose-Lowering Medication Under Conditions of Clinical Uncertainty

OBJECTIVE

To explore how the commercially available large language model (LLM) GPT-4 compares to endocrinologists when addressing medical questions when there is uncertainty regarding the best answer.

RESEARCH DESIGN AND METHODS

This study compared responses from GPT-4 to responses from 31 endocrinologists using hypothetical clinical vignettes focused on diabetes, specifically examining the prescription of metformin versus alternative treatments. The primary outcome was the choice between metformin and other treatments.

RESULTS

With a simple prompt, GPT-4 chose metformin in 12% (95% CI 7.9-17%) of responses, compared with 31% (95% CI 23-39%) of endocrinologist responses. After modifying the prompt to encourage metformin use, the selection of metformin by GPT-4 increased to 25% (95% CI 22-28%). GPT-4 rarely selected metformin in patients with impaired kidney function, or a history of gastrointestinal distress (2.9% of responses, 95% CI 1.4-5.5%). In contrast, endocrinologists often prescribed metformin even in patients with a history of gastrointestinal distress (21% of responses, 95% CI 12-36%). GPT-4 responses showed low variability on repeated runs except at intermediate levels of kidney function.

CONCLUSIONS

In clinical scenarios with no single right answer, GPT-4's responses were reasonable, but differed from endocrinologists' responses in clinically important ways. Value judgments are needed to determine when these differences should be addressed by adjusting the model. We recommend against reliance on LLM output until it is shown to align not just with clinical guidelines but also with patient and clinician preferences, or it demonstrates improvement in clinical outcomes over standard of care.

In the land of not-unhappiness: On the state-of-the-art of targeting aging and age-related diseases by biomedical research

The concept of the Land of Not-Unhappiness refers to the potential achievement of eliminating the pathologies of the aging process. To inform of how close we are to settling in the land, we summarize and review the achievements of research on anti-aging interventions over the last hundred years with a specific focus on strategies that slow down metabolism, compensate for aging-related losses, and target a broad range of age-related diseases. We critically evaluate the existing interventions labeled as "anti-aging," such as calorie restriction, exercise, stem cell administration, and senolytics, to provide a down-to-earth evaluation of their current applicability in counteracting aging. Throughout the text, we have maintained a light tone to make it accessible to non-experts in biogerontology, and provide a broad overview for those considering conducting studies, research, or seeking to understand the scientific basis of anti-aging medicine.

A Metformin-Ferulic Acid Salt with Improved Biopharmaceutical Parameters

Though ferulic acid presents great hypoglycemic potential, it possesses limited aqueous solubility, and low oral bioavailability. When associated with metformin, the first-choice drug in Type 2 diabetes treatment, FA demonstrates synergistic hypoglycemic effects, however, it also causes certain undesirable dose-related effects. This study aimed to develop a new ferulic acid - metformin multicomponent system, and incorporate it into a solid dosage form with improved biopharmaceutical parameters. A novel metformin: ferulate (1:1) salt (MFS) was produced, which was properly characterized using differing analytical techniques, including single crystal analysis. Also during the course of the study, a new polymorph of the metformin free base was observed. The MFS was obtained using solvent evaporation methods, which achieved high yields in reproducible process, as well as a 740-fold increase in ferulic acid aqueous solubility. The MFS tablets developed met quality control requirements for this dosage form, as well as revealing excellent performance in vitro dissolution tests, presenting dissolution efficiency values of 95.4 ± 0.5%. Additionally, physicochemical instability was not observed in a study at 40 °C for 3 months for both MFS powder and its tablet form. The MFS product developed is a promising candidate for further Type 2 diabetes clinical study.

Prescriber Uncertainty as Opportunity to Improve Care of Type 2 Diabetes with Chronic Kidney Disease: Mixed Methods Study

BACKGROUND

Over 5 million patients in the United States have type 2 diabetes mellitus (T2D) with chronic kidney disease (CKD); antidiabetic drug selection for this population is complex and has important implications for outcomes.

OBJECTIVE

To better understand how providers choose antidiabetic drugs in T2D with CKD DESIGN: Mixed methods. Interviews with providers underwent qualitative analysis using grounded theory to identify themes related to antidiabetic drug prescribing. A provider survey used vignettes and direct questions to quantitatively assess prescribers' knowledge and preferences. A retrospective cohort analysis of real-world prescribing data assessed the external validity of the interview and survey findings.

PARTICIPANTS

Primary care physicians, endocrinologists, nurse-practitioners, and physicians' assistants were eligible for interviews; primary care physicians and endocrinologists were eligible for the survey; prescribing data were derived from adult patients with serum creatinine data.

MAIN MEASURES

Interviews were qualitative; for the survey and retrospective cohort, proportion of patients receiving metformin was the primary outcome.

KEY RESULTS

Interviews with 9 providers identified a theme of uncertainty about guidelines for prescribing antidiabetic drugs in patients with T2D and CKD. The survey had 105 respondents: 74 primary care providers and 31 endocrinologists. Metformin was the most common choice for patients with T2D and CKD. Compared to primary care providers, endocrinologists were less likely to prescribe metformin at levels of kidney function at which it is contraindicated and more likely to correctly answer a question about metformin's contraindications (71% versus 41%) (p < .05). Real-world data were consistent with survey findings, and further showed low rates of use of sodium-glucose cotransporter 2 inhibitors and glucagon-like peptide 1 receptor agonists (<10%) in patients with eGFR below 60 ml/min/1.73m2.

CONCLUSIONS

Providers are unsure how to treat T2D with CKD and incompletely informed as to existing guidelines. This suggests opportunities to improve care.

Treatment-Related Attributes of Diabetes Therapies and How People with Type 2 Diabetes Report Their Impact on Indicators of Medication-Taking Behaviors

Purpose

Understanding the treatment-related attributes influencing medication-taking behaviors in people with type 2 diabetes (T2D) is important for delivery of patient-centered care. This review aimed to identify and summarize studies in which people with T2D (PwD) directly indicated the treatment-related attributes associated with medication-taking behaviors or intentions.

Materials and Methods

EMBASE and PubMed were searched for studies (Jan 2005-May 2021) reporting the link between PwD-expressed diabetes treatment-related attributes and the decision to initiate, adhere to, or discontinue a T2D medication. Eligible studies reported attributes associated with oral antidiabetes drugs or injectables (not insulin). Studies not explicitly exploring the link between attributes and indicators of behaviors (eg most discrete-choice experiments [DCE] and those interrogating electronic medical records or claims databases) were excluded, as were studies where the link between attribute and behavior came from anyone but the PwD.

Results

Of the 6464 studies identified, 16 were included. Studies were conducted across multiple countries; the USA was most represented (n = 8 studies). The impact of treatment attributes was described on indicators of initiation (n = 3), adherence (n = 12), and discontinuation (n = 4). Some studies evaluated multiple behaviors. PwD perspectives were solicited by structured questionnaires (n = 10), qualitative approaches (n = 4), or DCE explicitly exploring the link to medication-taking behaviors (n = 2). Closed- (n = 9) and open-ended questions (n = 7) were employed. Across studies, several factors including glycemic efficacy (n = 9), weight change (n = 9), dosing frequency (n = 9), hypoglycemia (n = 8), gastrointestinal adverse events (n = 8), regimen complexity (n = 6), route of administration (n = 3), and cardiovascular risk (n = 1) were reported as influencing behaviors, being motivators or barriers to initiation, adherence, or discontinuation.

Conclusion

Several attributes influence how PwD take their medications. Insights gained directly from PwD have the potential to assist stakeholders in making more informed, patient-centered, treatment decisions, thus choosing and managing medications that PwD are comfortable initiating and persisting with over the longer term.

Trial of restarting and tolerating metformin (TreatMet)

This randomized, double-blind, placebo-controlled, n-of-1 crossover study assessed whether metformin's side effects are reproducible in patients with a history of metformin intolerance. Participants completed up to four cycles of 2 weeks of metformin exposure and 2 weeks of placebo exposure. Participants completed surveys based on the Gastrointestinal Symptom Rating Scale and the Treatment Satisfaction Questionnaire for Medication. The primary hypotheses were that treatment satisfaction would be equal for placebo and metformin and that more than 30% of the study enrollees would be able to adhere to a higher dose of metformin 6 months after participation. Thirteen patients (all women, mean age 52.4 years) enrolled, three of whom were lost to follow-up or were non-adherent to study protocol. Metformin was associated with significantly lower global treatment satisfaction scores compared with placebo (39.58 vs. 53.75, P < .05 ) but participants could not distinguish metformin from placebo and did not report higher rates of gastrointestinal side effects on metformin. Two out of 10 participants adhered to a higher dose of metformin after trial completion. Metformin appears to have barriers to use beyond its classic gastrointestinal side effects.