MapLight’s Schizophrenia Candidate Has Mixed Results at Phase II
MapLight Therapeutics announced this week that its candidate drug for treatment of schizophrenia had achieved its primary endpoint in a Phase II trial, but only at the twice daily dose tested in the trial.
As reported by the California-based company, while participants of the trial who were given the candidate drug, ML-007C-MA, once a day did show some signs of improvement it was not statistically significant.
ML-007C-MA is a combined muscarinic agonist (betovumeline) and peripherally acting anticholinergic (fesoterodine). It acts by turning on two receptors in the brain, M1 and M4.
M1 is the main receptor the drug is trying to stimulate in the brain cortex and hippocampus, where it is linked to cognition, attention, and possibly some aspects of psychosis. Turning on M4 also helps by acting like a brake on the overactive signaling that contributes to hallucinations and delusions. Betovumeline activates both M1 and M4 centrally, while fesoterodine is there mainly to block unwanted side effects outside the brain, like gastrointestinal issues.
In this study, MapLight randomized 307 adults with an acute exacerbation of schizophrenia to treatment with either a twice daily or once daily treatment with ML-007C-MA or placebo for five weeks.
At five weeks, patients given the twice daily dose had a statistically significant and clinically meaningful reduction in Positive and Negative Syndrome Scale (PANSS) total score of 4.5 points compared to placebo. Cognitive scores were also better in the twice daily group versus placebo.
While this result is positive overall, the non-statistically significant result for the once daily dose proved unpopular with investors and company shares on the Nasdaq fell 40% after the announcement.
In September 2024, Cobenfy, the first muscarinic M1/M4 agonist drug for treatment of schizophrenia was approved by the FDA. Now owned by BMS, Cobenfy will be the main competitor for ML-007C-MA if approved.
Cobenfy was groundbreaking because it was the first new mechanism of action for schizophrenia in decades, moving beyond dopamine blockade to a muscarinic approach and targeting both hallucinations and delusions as well as the more cognitive aspects of the disease, which are not well treated with other drugs.
Despite the approval of Cobenfy, a number of other competitors developing treatments for schizophrenia have failed in recent years. Whether MapLight can succeed at Phase III with ML-007C-MA—which is also being tested as a treatment for psychosis linked to Alzheimer’s disease—and compete with Cobenfy, remains to be seen.
The post MapLight’s Schizophrenia Candidate Has Mixed Results at Phase II appeared first on Inside Precision Medicine.
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Evaluating Wearable Devices for Remote Monitoring in Psychosis: Pilot Study Nested Within the CONNECT Cohort Study
Background: Digital remote monitoring technologies, including smartphones and wearables, offer promising avenues for early detection of psychosis relapse. However, selecting devices that are acceptable to participants and produce high-quality data remains challenging. Objective: The aim of this nested pilot study was to assess the acceptability and data quality of 3 commercially available wearable devices in people with psychosis recruited to the CONNECT cohort study. Methods: Participants recruited to the CONNECT study before July 31, 2024, were included in the pilot study and selected 1 of 3 wearable devices: a Fitbit Charge 5, Samsung Galaxy Watch 5, or Apple Watch SE. Baseline demographics were compared between device groups. Acceptability of devices to participants was assessed through a Wearable Device Satisfaction Questionnaire after 3 months of use, with the proportion of positive responses to each question calculated and compared. Data completeness was also assessed by calculating the number (and percentage) of valid days of step count, heart rate, and sleep data, and comparing between groups. Data quality was assessed through summarizing the amount of troubleshooting required, additional metrics available from the wearables, and continuity of data completeness by calculating the proportion of participants with at least 3 days of heart rate data per week for the first 20 weeks of follow-up. Predefined criteria were used to determine the next steps for the wider CONNECT study: if one device was superior, this would be selected; if none were found to be superior and the Fitbit was found to be noninferior, then Fitbit would be retained. Results: Of the first 107 participants recruited to CONNECT, 105 were included in the pilot study evaluation. The Samsung Galaxy Watch was selected most frequently by participants (46/105, 43.8%), followed by the Apple Watch (27/105, 25.7%), and Fitbit Charge (23/105, 21.9%). Differences in participant demographics were observed across device groups. Self-reported acceptability after use did not differ substantially between devices. However, in terms of data completeness, the median proportion of valid heart rate data days was significantly lower for Samsung Galaxy (median 31.2%, IQR 8.5%-46.0%) compared to Fitbit (median 80.1%, IQR 26.7%-95.0%; =.003) and Apple Watch (median 49.3%, IQR 21.5%-86.0%; =.02). There was no significant difference between Fitbit and Apple Watch. Similar patterns were observed for step count and sleep data. The Samsung Galaxy Watch required more frequent troubleshooting for data flow issues and lacked additional physiological metrics, available from the other devices. Conclusions: Due to comparatively lower data quality and technical performance, the Samsung Galaxy Watch was discontinued for use in the subsequent phase of the CONNECT study. The study highlights the importance of incorporating nested evaluations of devices in long-term research.
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