From Sequence to Patient in Under 12 Months: A Case Study in Advancing Complex Cancer Immunotherapies



Image of Joseph Shultz

Joseph Shultz

Vice President of Technical Development and Manufacturing
Ottimo Pharma

Panelist

Image of Joseph Shultz

Joseph Shultz

Joseph Shultz is the vice president of technical development and manufacturing at Ottimo Pharma. His more than 30 years in the industry span development, manufacturing, quality, and technology development. He has held influential positions at Amgen, Novartis Pharma, the Battelle Memorial Institute, Evelo Biosciences, and Resilience. He initiated the technologies and led the strategies that resulted in next-generation biomanufacturing plants at both Amgen and Novartis.



Image of Imroz Ghangas

Imroz Ghangas

Vice President of Commercial Sales
Asimov

Panelist

Image of Imroz Ghangas

Imroz Ghangas

Imroz Ghangas and his team drive partnerships to advance Asimov’s genetic design platform and AI capabilities. With over 25 years in biotech, Imroz has evolved from process development scientist to commercial leader, bridging technical innovation with scalable solutions. His expertise spans bioprocess development and platform integration, with deep knowledge of biomanufacturing workflows from gene to drug product. He leverages his technical foundation to accelerate the adoption of next-generation bioprocessing technologies.



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Complex biologics such as bifunctional antibodies are opening new therapeutic possibilities in oncology, but these molecules present significant challenges for manufacturing teams. Non-standard architectures can often translate to low expression and difficult developability, making cell line development a critical bottleneck between a promising sequence and a viable clinical candidate.

In this GEN webinar, Joseph Shultz (vice president of technical development and manufacturing, Ottimo Pharma) and Imroz Ghangas (vice president of commercial sales, Asimov) discuss strategies for achieving high-performing clonal titers and advancing a dual-paratopic cancer immunotherapy from sequence to dosed patient in under a year. Attendees will learn about the unique attributes of Ottimo’s molecule and how a specialist partnership with Asimov accelerated the program. The presenters will also introduce the CHO Edge System, which combines Asimov’s proprietary GS knock-out CHO host, hyperactive transposase, library of characterized genetic elements, and AI-driven genetic design tools to routinely deliver clonal titers of 8-12 g/L.

A live Q&A session will follow the presentation offering you a chance to pose questions to our expert panelists.

Produced with support from:

asimov logo

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Impact of a Prototype Combining Recommender Functionality With Structured Documentation on Operator Performance in Calls to Medical Communication Centers: Quasi-Experimental Feasibility Study

<strong>Background:</strong> Management of contacts to medical communication centers relies heavily on clinical judgment, contextual understanding, and communication skills. Decision support systems, intended to complement medical expertise, may, due to their rigidity, impede effective caller interaction and may, together with the obligatory documentation of calls, contribute to a workflow that draws attention away from the communication. Recommender systems have demonstrated potential in supporting decision-making across various domains by nudging individuals toward better choices without undermining autonomy. We built a prototype that combined artificial intelligence–based question recommendations with structured documentation (hereafter: the prototype) and conducted a feasibility study to test its influence on operators’ performance. <strong>Objective:</strong> This study aimed to examine whether the prototype influenced the operators’ performance during telephone triage. We hypothesized that the prototype would affect medical quality without affecting communication quality. <strong>Methods:</strong> A quasi-experimental pre- and posttest feasibility study was conducted in a simulated setting. Twenty-five operators were voluntarily recruited from 5 Norwegian medical communication centers, in which 22 operators contributed to both the pretest (before the prototype) and the posttest (with the prototype). The operators handled the same 15 medical cases presented by simulated callers, with a 5-month interval between the 2 sessions. The question recommender was trained on other data and then fine-tuned on the 15 scenarios used. Audio recordings of the calls were rated using the tool Assessment of Quality in Telephone Triage. Pre- and posttest values were compared, with overall medical and communication quality as the primary outcomes. Secondary outcomes included specific items related to medical content and communication, accuracy of triage, patient safety, call duration, and efficiency. <strong>Results:</strong> A total of 320 paired calls were analyzed. Overall medical quality improved significantly with use of the prototype, from a mean of 6.83 points pretest to 7.16 points posttest rated on a 10-point scale (difference 0.34, 95% CI 0.11-0.57; <i>P</i>=.004). The effect size was small (Cohen <i>dz</i>=0.16). No significant change was observed in overall communication quality, with a mean of 7.06 points pretest and 6.97 points posttest (difference –0.09 points, 95% CI –0.28 to 0.10; <i>P</i>=.35). A significant decrease from pre‑ to posttest was observed in the specific items “Collects information about the patient’s location” (<i>P</i>&lt;.001) and “Ensures that the triage decision is understandable and feasible” (<i>P</i>=.002). None of the remaining secondary outcomes showed significant changes. <strong>Conclusions:</strong> The prototype yielded a modest improvement in medical quality within the scenario‑based test environment. Although overall communication quality remained unchanged, aspects of the interaction were negatively affected. Artificial intelligence–based question recommendations combined with structured documentation may serve as useful functionalities within a decision support system, but each functionality requires further testing and development before such technology can be implemented in the triage of unselected, real‑world calls. <strong>Trial Registration:</strong>

Fully Anonymized Digital Health Data Acquisition in a Research Partnership Using a Blinded Deidentification Proxy in the HerzFit App: Implementation Study

Background: The European General Data Protection Regulation (GDPR) strictly regulates the processing of personal and health-related data, posing challenges for digital health research, especially when data are collected using participants’ own devices. Although scientific data can theoretically be anonymized, standard internet communication protocols inevitably expose transmission metadata, preventing true anonymization. Existing solutions, including virtual private networks, reverse proxies, and trust centers, improve confidentiality but do not technically or legally enable fully anonymized data collection. Consequently, large-scale digital health research often requires extensive organizational measures, complex consent procedures, and high regulatory overhead. Objective: This study aimed to develop a GDPR-compliant concept for fully anonymized scientific data collection, ensuring that no entity has simultaneous access to identifying information and donated data. We also implemented and evaluated this concept in a real-world public-private partnership. Methods: We designed a data donation architecture based on a blinded deidentification proxy that decouples identifying transmission metadata from encrypted user data at the time of donation. The concept combines symmetric (Advanced Encryption Standard-128 in Cipher Block Chaining) and asymmetric (Rivest-Shamir-Adleman with Optimal Asymmetric Encryption Padding) encryption, enabling end-to-end encrypted and anonymized data transfer without persistent identifiers. The system was integrated into the HerzFit app, a mobile lifestyle coach for cardiovascular disease prevention available in German-speaking countries, and evaluated for adoption, technical feasibility, and performance. Performance overhead was assessed using round-trip time benchmarks. Duplicate donations were identified and merged to estimate unique data donors. Results: The solution was integrated and tested in the HerzFit app with more than 200,000 downloads between April 2022 and December 2025. Since the introduction of the data donation feature, more than 13,000 donations have been received, translating to more than 9000 individual users contributing anonymized datasets. Proxy-based transmission resulted in an average round-trip time of 143 ms, compared to 58 ms for direct transfer, representing a modest overhead while maintaining usability. The operator of the donation database did not gain access to identifying information at any stage, demonstrating full technical anonymization. The approach can be operated reliably at scale with minimal server resources due to the stateless proxy design. Conclusions: This work introduces a novel system architecture enabling fully anonymized, GDPR-compliant data donation directly from participants’ devices. By decoupling identifying metadata from encrypted health data, the concept minimizes regulatory effort, strengthens privacy protection, and provides a practical framework for large-scale digital health research in research partnerships, for example, between a private company and a research institution. The real-world deployment in HerzFit demonstrates the feasibility, scalability, and scientific utility of this approach. The concept is broadly transferable to other mobile health apps and has the potential to substantially expand ethically and legally compliant data acquisition.
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Examining the Influence of Social Network Factors on Weight Loss Among Latina and Non-Hispanic White Breast Cancer Survivors: Observational Cohort Study

<strong>Background:</strong> Breast cancer is the most commonly diagnosed cancer among women and is the leading cause of cancer death among Latina individuals. Breast cancer survivors are at increased risk of obesity. Mobile health interventions have been shown to be an effective way of reducing the risk of weight gain. Less studied but also important is the extent to which social networks play a role in supporting or undermining weight loss efforts. <strong>Objective:</strong> We examined the association between 4 kinds of social network interactions and change in BMI among Latina and non-Hispanic White breast cancer survivors engaging in a mobile health app pilot study. <strong>Methods:</strong> Latina and non-Hispanic White breast cancer survivors were randomized to engage in either the <i>Mi Salud</i> or <i>Mi Vida, Mi Salud</i> app. <i>Mi Salud</i> allowed participants to engage in self-monitoring by recording their behaviors and symptoms. <i>Mi Vida, Mi Salud</i> used these same features in addition to a self-discovery feature that would summarize and report back this information to participants. We collected information on BMI and health-related social support; positive and negative health-related social control (which included persuasion and pressure, respectively); and undermining at baseline and after 12 weeks of the intervention. <strong>Results:</strong> While participants (non-Hispanic White n=22 and Latina n=22) in both study arms experienced decreased BMI over the 12-week period, this change in BMI did not differ according to ethnicity. Furthermore, change in social support was not associated with decreased BMI (B=−0.19, <i>P</i>=.12). However, the interaction between change in social support and ethnicity was significant, such that predicted margins were significant for non-Hispanic White individuals (B=−0.57, <i>P</i>=.02) but not for Latina individuals (B=−0.54, <i>P</i>=.72). Change in persuasion was not associated with change in BMI (B=0.072, <i>P</i>=.61); however, increased pressure was associated with increased BMI (B=0.66, <i>P</i>=.02). Finally, change in undermining was not associated with change in BMI (B=0.32, <i>P</i>=.11). <strong>Conclusions:</strong> Latina and non-Hispanic White participants did not differ in weight loss. However, our findings regarding social network involvement and change in BMI show the importance of considering social network processes in weight loss among breast cancer survivors. These findings buttress existing research suggesting the benefits of social support, particularly within specific cultural frameworks, while attempts to increase participants’ healthy behaviors that involve criticism can be detrimental to change efforts. Future research that builds on these findings is needed to elucidate the specific social network processes that may drive health behavior among diverse breast cancer survivors.

Digital Therapeutic Content for Substance Use Disorder Treatment: Development and Evaluation Study

Background: Substance use disorders (SUDs) are a major public health concern, contributing to significant individual and societal costs. Despite this, the uptake of evidence-based pharmacologic and behavioral interventions remains limited. The digital delivery of SUD treatment has emerged as a potentially scalable way to reduce access barriers and increase treatment use. Existing digital therapeutic interventions are often created without clinician involvement, evidence-based materials, interdisciplinary input, or content review. The implementation of a structured and methodologically rigorous development process is needed across digital health interventions to help ensure patient-facing materials are validated, understandable, and actionable for the end user. Objective: This early report seeks to describe and evaluate an iterative, interdisciplinary, platform-agnostic process for adapting and refining existing print materials for digital therapeutic modules in SUD treatment. The a priori goal was to evaluate if a structured, human-centered approach would generate digital modules that were rated as understandable and actionable based on a validated assessment for written materials. Methods: Fourteen therapeutic modules were adapted from existing Mayo Clinic–written, patient-facing education materials originally developed by a board-certified addiction psychiatrist and a doctoral-level education specialist for clinical use. A team of 4 purposively recruited licensed alcohol and drug counselors with lived experience with a SUD, all in recovery, and a doctoral-level therapeutic specialist met weekly for one hour over a 6-month period to iteratively adapt this existing content for smartphone delivery (2‐3 hours per module). The process flow included selecting source material, restructuring content for viewing on a phone screen, simplifying language, improving organization and flow to promote understanding, and including specific actions users could take based on the content. The counselors then independently evaluated the modules using the Patient Education Materials Assessment Tool for printable materials (PEMAT-P). PEMAT-P scores for understandability and actionability were calculated as percentages, and descriptive statistics were used to summarize scores in aggregate and across modules. A target of >70% was set for each PEMAT-P domain, consistent with accepted benchmarking standards. Results: Mean understandability and actionability for all modules were 87.2% (SD 4.8%; range 81.4%‐96.9%) and 75.1% (SD 12.3%; range 57.1%‐95.0%), respectively, exceeding the recommended threshold. While all modules were adequately understandable, 35.7% (5/14) scored below the actionability threshold. Conclusions: This early report highlights the value of a human-centered, iterative process for adapting therapeutic materials for digital delivery in SUD treatment. Although the modules performed well overall on PEMAT-P benchmarks, actionability was less consistent than understandability, and aggregate scores masked weaknesses in several individual modules. This indicates that a standardized process does not guarantee actionable material across all content types. Involving current patients in this process may improve the end product by incorporating a perspective that was previously missed.

G-Link CAR-T Delivery Platform Showcased at ASGCT

Vyriad reports that it will showcase its latest CAR T delivery technology platform, G-Link, through a schedule of presentations, technical sessions, and exhibition activities at ASGCT. The modular plug-and-play protein adapter developed in collaboration with Menachem Rubenstein, PhD, of the Weizmann Institute allows drug developers to cap and retarget existing lentiviral vectors for in vivo delivery, according to the company.

By leveraging G-Link, wild-type lentiviral vectors can be reprogrammed for in vivo applications without the need for intensive vector re-engineering, effectively shortening development timelines for next-generation CAR T and other cell therapies, notes a company spokesperson, who adds that G-Link can also be used to simplify ex vivo CAR T manufacturing and significantly improve T cell transduction efficiency without redesigning vectors.

“I believe that G-Link can address some of the most persistent challenges in in vivo delivery and we are excited to unveil it at ASGCT this year,” says Stephen Russell, PhD, CEO of Vyriad. “Our participation this year underscores our clear mission: to replace complex, weeks-long manufacturing cycles with precise, off-the-shelf immunotherapies. With G-Link, we aim to foster collaborations that will define the next generation of in vivo cell therapies.”

Vyriad’s VV169 in vivo CAR T program will progress into clinical development later this year, while the G-Link platform will advance towards clinical translation later in the future, continues Russell.

 

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A Sustainable Lifestyle Intervention Among Office Workers: Cluster Randomized Pilot and Feasibility Study

Background: Society faces multiple challenges, including lifestyle diseases and global climate change. Framing health education within sustainable development may enhance motivation for behavior change because proenvironmental behaviors, as well as healthy behaviors, often rely on the same behavior change principles. Combining these perspectives may therefore reinforce health behaviors and climate-friendly choices. Objective: This pilot study aims to explore changes in dietary intake, diet-related carbon footprint, and physical activity among office workers receiving sustainable plus healthy lifestyle (sustainable lifestyle arm) or healthy lifestyle education (healthy lifestyle arm) alone. It also aims to assess the feasibility of the intervention functions, including workshop attendance rate, participants’ dietary goals, social support, and facilitators and barriers to behavior change. Methods: A 2-armed participant-blinded cluster randomized study, including an experimental intervention arm (sustainable lifestyle; n=19) and a control intervention arm (healthy lifestyle; n=14), was conducted in Sweden. The study lasted 8 weeks and included 6 workplace-based workshops and was framed by the behavioral change wheel and the socioecological model. Diet, carbon footprint, and physical activity were assessed using the web-based questionnaires Meal-Q and Active-Q. Attendance rate, individual goals, social support, and facilitators and barriers were assessed using printed questionnaires. Results: The reduction of total diet-related carbon dioxide equivalents (COe) was 0.8 kg and 0.4 kg per day for the sustainable and healthy lifestyle arm, respectively. Also, there was a statistically significant interaction between time and lifestyle when the carbon footprint was expressed as a qualitative aspect of diet, that is, COe kg per 1000 kcal per day (=.05). Moreover, the intake of vitamin C, a marker for fruits and vegetables, increased to 8.0 and 12.5 mg per 1000 kcal per day for the sustainable and healthy lifestyle arms, respectively. In addition, total sedentary time decreased by 0.4 hours per day in the sustainable lifestyle arm, but not in the healthy lifestyle arm. This indicates that the educational workshops in respective arms had different impacts on health behavior over time. Minor differences were found in dietary goals, with the sustainable lifestyle arm setting more goals related to ecological and vegetarian foods. No differences were seen between arms regarding barriers or facilitators. Conclusions: This study suggests that embedding healthy lifestyle recommendations within a sustainable development context may be an efficient way to reduce carbon footprint and increase healthy behavior among office workers. Given the ongoing global epidemic of metabolic diseases, climate change, and environmental degradation, promoting a sustainable lifestyle in a workplace context has the potential to counteract these trends. Trial Registration: ClinicalTrials.gov NCT06698094; https://clinicaltrials.gov/study/NCT06698094
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Key takeaways from WHO briefing on hantavirus cruise ship outbreak

The MV Hondius, the cruise ship that has garnered global attention because of an apparent outbreak of person-to-person spread hantavirus infections, is on the move. At the request of Tedros Adhanom Ghebreyesus, the World Health Organization’s director-general, Spain has agreed to let the ship dock off Tenerife, in the Canary Islands. The ship is expected to arrive on Sunday.

This outbreak — the first time hantavirus has been suspected of transmitting on a cruise ship — is an evolving situation. It’s also one that is going to take weeks to resolve, because of the long incubation period of hantaviruses. And it could be months before scientists piece together how the virus got on the boat and whether all the subsequent cases were people infected through contact with other people or whether rodents — which are known to carry hantaviruses — that were on board played any part.

Read the rest…

Human Antibodies Identified That Have Potential To Prevent and Treat Measles Virus

Scientists at La Jolla Institute for Immunology (LJI) say they are the first in the world to characterize human monoclonal antibodies (mAbs) capable of neutralizing measles virus (MeV). The antibodies, derived from the memory B immune cells of an individual who had previously received the MMR vaccine years previously, bind to key hemaggglutinin (H) and fusion (F) surface virus proteins, preventing viral entry into host cells.

The researchers, headed by Erica Ollmann Saphire, PhD, LJI professor, president, and CEO, say the new panel of human antibodies may form the basis for future medical therapies against measles infection. In their newly reported study the team showed that an infusion of the antibodies resulted in 500-fold lower viral load in a rodent model of measles infection.

“These antibodies work as prophylaxis—to protect from initial infection—and they work after viral exposure as a treatment to fight measles infection, said Saphire. “It may be possible to give someone an infusion of these antibodies and deliver the immune response they wish they had.”

In their study (“Human neutralizing antibodies targeting the measles virus hemagglutinin and fusion surface proteins”) reported in Cell Host & Microbe, the team concluded “Characterization of these fully human mAbs provides avenues for prophylactic or therapeutic intervention against re-emerging MeV.”

Measles virus is “… a highly transmissible paramyxovirus, can cause severe complications and death, particularly in infants and young children,” the authors wrote. “A live-attenuated vaccine derived from a genotype A MeV strain provides vaccinees with lifelong immunity and protective antibodies against all 24 MeV genotypes in circulation.”

However, in recent years, decreased vaccination rates have led to deadly measles outbreaks across the U.S. and around the world. This sharp rise in measles cases is especially dangerous for the millions of people who cannot receive a measles vaccine. While the measles vaccine is incredibly safe and effective, it does contain a live, weakened virus. This means that people who have compromised immune systems, such as those who are pregnant or receiving chemotherapy, including children, cannot receive the vaccine. The very young are also at risk. Infants must wait until they are 12 months old to be vaccinated, and most children in the U.S. aren’t fully vaccinated against measles until they are six years of age.

“There are a growing number of people that can’t be vaccinated or haven’t been fully vaccinated,” said Saphire. “The very same people who can’t be vaccinated or can’t be vaccinated yet, are the same people for whom a measles virus infection would be the most severe—or be lethal.”

Until recently, enough people were vaccinated against measles virus that the risk of exposure for this unvaccinated group was very low. Unfortunately, that community protection—herd immunity, is no longer. LJI scientists are on a mission to find treatment options for the most vulnerable.

There are currently no measles-specific therapies to help patients. The new study shows that monoclonal antibody therapies may may be a feasible option. Monoclonal antibody treatments contain many copies of a neutralizing antibody, and are widely used for a variety of infectious diseases. Even infants receive monoclonal antibody therapies each year to prevent respiratory syncytial virus (RSV).

To design a monoclonal antibody treatment for measles, researchers need a clear picture of how human antibodies fight the virus. However, as they noted, “Despite the global presence of MeV and widespread use of the vaccine, few studies have mapped the human antibody response. We do not yet know how human antibodies, from either measles vaccination or natural infection, recognize and protect against the virus.”

Saphire and her colleagues began by harnessing an imaging technique, cryo-electron microscopy (cryo-EM), to capture the first-ever glimpses of how antibodies bind to the measles virus. They started by examining mouse antibodies, and published that work in a recent paper. That initial study showed where measles virus is vulnerable to antibody attack. The mouse antibodies, the researchers showed, latched onto the virus fusion protein, to block viral entry into a cell.

To find out whether human antibodies could do the same thing, the researchers analyzed blood from a clinical research volunteer. “We evaluated 15 MMR-vaccinated donors for their polyclonal MeV responses to identify individuals with vaccine-induced, protective, circulating antibodies,” they explained. The 56-year-old female volunteer they selected had been vaccinated against measles many years before, and already had antibodies ready to fight measles virus. This individual “… demonstrated the highest polyclonal response and the most H- and F-reactive memory B cells.”

From the one blood sample, the LJI scientists isolated antibodies that bind to the measles virus fusion protein, along with other antibodies that bind to the virus hemagglutinin protein. They then captured 3D images of these antibodies bound together with the measles virus. “We found that these antibodies are exceptionally potent,” said study first author, LJI Instructor Dawid Zyla, PhD. “Two orders of magnitude better than comparable molecules reported at conferences.”

Measles virus is a shape-shifting virus. When it meets a human cell, it unfolds to reveal viral machinery that fuses with the host cell membrane. The new study shows that antibodies targeting the fusion protein work by locking the protein in place, leaving the virus unable to shape shift and infect a host cell. The next step was to test these antibodies in a preclinical animal model. Study collaborators at The Ohio State University carried out key experiments in cotton rats. They found that all four lead antibodies reduced viral load when given either before measles exposure or within 24 to 48 hours after measles virus infection. One antibody, designated 3A12, which binds to a site on the F protein, rendered the circulating virus actually undetectable.

While more work needs to be done, the researchers see these antibodies as promising tools in the fight against measles. Their new images of the antibody structures provide the materials needed to make the world’s first before- or after exposure treatment for measles virus. “Now we know what we’re aiming for, and we have the antibodies we need,” said Saphire.

In their paper the authors stated, “The protective mAbs identified here target four distinct, non-competing epitopes, and may be combined as cocktail therapies to enhance treatment potency, maintain durable protection, and reduce the risk of viral escape.… these human mAbs themselves, which recognize conserved sites and inhibit measles by complementary mechanisms, represent a basis to develop a treatment that is urgently needed as measles virus infections surge globally.”

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Oral Small-Molecule GLP-1s Linked to Deep Brain Activity and Reduced Cravings in Mice

Interest in glucagon-like peptide 1 receptor agonists (GLP-1s) continues to surge due to their effectiveness in reducing body weight and improving metabolic outcomes. This includes interest in small molecule oral GLP-1s which are more bioavailable and more easily manufactured than their injectable counterparts.

Now data from a new study in mice performed by scientists at the University of Virginia shows that this emerging class of weight-loss drugs suppress hedonic eating by modulating a reward circuit deep in the brain that is separate from previously described mechanisms that broadly affect appetite. The scientists believe that this pathway could be an avenue by which GLP-1s treat other dysfunctions in reward processing such as substance use disorders.

Details of the National Institutes of Health-funded study were published this week in a Nature paper titled “A brain reward circuit inhibited by next-generation weight-loss drugs in mice.” In it, the team reported that they investigated the small-molecule GLP-1s including Eli Lilly’s recently approved drug orforglipron, also known by the brand name Foundayo, as well as danuglipron, an oral GLP-1 that was being developed by Pfizer until the company decided to discontinue its development in 2025. 

Previous studies that explored the effects of larger peptide GLP-1s such as semaglutide in the brain have found that they suppress hunger-driven eating by engaging networks in the hypothalamus and hindbrain. What has been less clear is the mechanism by which small-molecule GLP-1s work. “As the accessibility of these medications continues to rise and patient uptake increases, it’s crucial that we understand the neural mechanisms underlying the effects we’re seeing,” said Lorenzo Leggio, MD, PhD, clinical director of NIH’s National Institute on Drug Abuse.

The current study gets scientists one step closer to that goal. According to the paper, the scientists first used gene editing to modify the GLP-1 receptors of mice to make them more humanlike. They then administered orforglipron or danuglipron to the mice, and identified brain regions where the drugs induced activity. The results showed that in addition to inducing activity in familiar pathways, the drugs also triggered the central amygdala, a region associated with desire that is deeper in the brain than scientists previously thought GLP-1s could directly reach. Further testing showed that once activated, the central amygdala reduced the release of dopamine into key hubs of the brain’s reward circuitry during hedonic feeding. 

“We’ve known that GLP-1 drugs suppress feeding behavior driven by energy demand,” said co-corresponding author Ali Guler, PhD, a professor of biology at the University of Virginia. “Now it seems oral small-molecule GLP-1s also dial back eating for pleasure by engaging a brain reward circuit.”

Given the effect of these drugs on eating for pleasure, future studies could explore whether small-molecule GLP-1s can also suppress cravings for other addictive substances. It is a question that the team hopes to explore in follow up studies focused specifically on substance use disorder. 

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