The premise behind the work rests on a deceptively simple observation. Every biological phenomenon unfolds in physical space and time, involving continuous changes in shape, quantity and matter. Those changes can be described mathematically, and once they are, researchers gain a tool that observation alone cannot provide. “Every biological phenomenon occurs in the physical world—in space and time—and involves changes in shape, quantity and matter,” Yarahmadian explained. “Because of its abstract power, mathematics allows us to uncover patterns, test hypotheses and make predictions that may not be possible through observation alone.” In other words, a well-built model can compress years of trial-and-error experimentation into a set of equations whose behavior can be explored on a computer in hours.

The biological target of the model is amyloid-beta, a small protein fragment that, in a healthy brain, is produced and cleared in a carefully balanced cycle. In Alzheimer’s disease, that balance tips. Individual amyloid-beta peptides begin to misfold and cling to one another, first forming small soluble clusters called oligomers, then longer protofibrils, and finally the insoluble fibrillar plaques that accumulate between neurons. This aggregation cascade is not a single reaction but a branching network of processes, each with its own rate, and each potentially influenced by the chemical environment surrounding the protein. That complexity is precisely what makes the disease so difficult to study experimentally, and precisely where mathematical modeling earns its keep.

Metal ions enter the picture because of a long-standing and growing body of biochemical evidence that copper and zinc bind directly to amyloid-beta and can dramatically alter its aggregation behavior. Depending on concentration, oxidation state and conditions, these metals can accelerate the formation of aggregates, stabilize particular intermediate species, or change the morphology of the fibrils that ultimately form. Because copper and zinc are normally present in the brain and are involved in synaptic function, their interaction with amyloid-beta is not an exotic curiosity but a plausible contributor to disease progression. Capturing that interplay quantitatively, however, requires a model that tracks not only the protein’s aggregation states but also the binding and unbinding of metal ions at each stage—a considerable mathematical challenge.

Yarahmadian’s framework does exactly that. It simulates the chain of reactions through which metals such as copper and zinc may influence amyloid-beta aggregation and plaque formation, coupling the kinetics of protein clustering with the dynamics of metal-ion binding. Crucially, the model was designed to do more than describe the disease process; it also allows researchers to examine two potential therapeutic strategies for disrupting it. The first is chelation therapy, in which molecules would be deployed to sequester excess metal ions and strip them away from amyloid-beta, potentially slowing or reversing the aggregation they promote. The second involves inhibitory approaches that act directly on the aggregation pathway itself, interfering with the steps by which peptides assemble into larger structures. By adjusting parameters that represent these interventions, the model can explore how different treatment strategies might shift the balance of the system over time.

Building a model is one thing; proving that it means anything is another. A set of equations can be internally consistent and still bear no relationship to biological reality, so the team subjected their framework to a demanding test. They compared the model’s output against experimental data generated by atomic force microscopy, a technique capable of imaging aggregates at nanometer scale and revealing the size and structure of the microscopic clusters that amyloid-beta forms in the laboratory. This validation step is where many theoretical models falter, but here the results were encouraging: the model successfully reproduced the patterns observed in the experimental measurements.

That agreement matters more than it might first appear. It demonstrates that the model is not merely a theoretical calculation but a tool that can accurately predict real-world behavior, giving scientists greater confidence in understanding how aggregates form and, potentially, how they might be controlled. In practical terms, a validated model becomes a virtual laboratory. Researchers can ask questions that would be expensive, slow or ethically fraught to answer with real experiments: What happens if metal concentrations rise in a particular brain region? At what point in the aggregation cascade would a chelation therapy have the greatest effect? Which step in the reaction network is the most influential lever, and therefore the most promising drug target? The model cannot answer these questions definitively, but it can rank hypotheses and point experimentalists toward the tests most likely to be informative.

“Mathematics does not replace laboratory or clinical research; it complements it by helping us understand the larger system, identify the most influential mechanisms and guide future experiments,” Yarahmadian said. That division of labor is increasingly common across the life sciences. As biological datasets grow larger and the systems under study grow more intricate, the ability to formalize hypotheses mathematically and test them computationally has become a genuine partner to the bench and the clinic rather than an afterthought. In Alzheimer’s research specifically, where more than a hundred candidate drugs have failed in clinical trials over recent decades, tools that can narrow the search space before trials begin carry obvious value.

“What drew me to Alzheimer’s research is the combination of its profound human impact and its extraordinary biological complexity,” Yarahmadian said. “My goal is to use mathematical modeling to identify important mechanisms and generate insights that may help guide future experimental and therapeutic research.” The study, published on 20 August 2026 under the title describing metal-ion-mediated amyloid-beta aggregation and a mathematical model of chelation and inhibitory therapies, was classified as computational simulation and modeling, and its authors declared no conflicts of interest. The work builds on Yarahmadian’s broader research program into mathematical models of Alzheimer’s disease, positioning the Mississippi State group within a growing community of applied mathematicians tackling neurodegeneration.

The road from a validated model to a therapy is, of course, long. Mathematical frameworks do not shrink tumors or restore memories; their contribution is to sharpen the questions and reduce the guesswork. Yet in a field where the underlying mechanisms remain fiercely debated—where amyloid-beta’s role itself has been questioned after high-profile drug setbacks—quantitative tools that connect metal chemistry, protein aggregation and therapeutic intervention offer something rare: a way to see the system whole. If the model’s predictions continue to align with laboratory observations, the equations developed in Starkville may help decide where the next generation of Alzheimer’s experiments, and perhaps eventually treatments, should look. It would be a striking outcome if part of the answer to one of medicine’s hardest problems turned out to be written, at least in part, in mathematics.

Subject of Research: Mathematical modeling of metal-ion-mediated amyloid-beta aggregation and chelation therapies in Alzheimer's disease

Article Title: Solving Alzheimer’s with math? Researcher explores the possibilities

Article References: Solving Alzheimer’s with math? Researcher explores the possibilities. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: Alzheimer's disease, mathematical modeling, amyloid-beta, copper, zinc, chelation therapy, plaque formation, computational biology, Mississippi State University, Bulletin of Mathematical Biology, atomic force microscopy, drug targets

Antimicrobial resistance, commonly abbreviated as AMR, occurs when bacteria, viruses or other microorganisms evolve the ability to withstand treatments such as antibiotics that would normally kill them or stop their growth. In aquaculture, the farming of fish, crustaceans, molluscs and other aquatic organisms, the emergence of resistant pathogens is a particular concern because intensive production systems can create conditions in which disease spreads rapidly and antimicrobials are used to control outbreaks. When resistant organisms develop in aquatic environments, they can move through water, food chains and human contact, complicating treatment of infections in animals and people alike. Responsible antimicrobial use, coupled with strong biosecurity measures that prevent disease from entering or spreading within farms, is therefore regarded internationally as a cornerstone of sustainable aquatic food production.

Mississippi State University brings a long institutional history to this role. As a land-grant university with leading expertise in fisheries and aquaculture, veterinary medicine and international food security, it has worked with FAO on antimicrobial use and antimicrobial resistance, aquaculture biosecurity and aquatic animal health. The renewal of the reference centre designation signals that the organization’s reviewers judged the university’s contributions during the first designation period to have met the standards expected of a centre that provides authoritative scientific advice to FAO and its member nations. The agreement positions the university to continue supplying the technical competencies needed to strengthen capacity development efforts worldwide.

University President Mark E. Keenum said he looks forward to the institution continuing this important work under the renewed agreement. According to Keenum, the renewal means the university will continue to provide the scientific expertise and technical competencies needed to strengthen capacity development efforts that support FAO’s work in promoting the responsible use of antimicrobials in aquaculture and reducing the risks associated with antimicrobial resistance. He added that Mississippi State will also continue to support FAO’s efforts to advance responsible aquaculture practices and strengthen aquaculture biosecurity worldwide, framing the partnership as an extension of the university’s land-grant mission into the international arena.

The renewal was marked in person at FAO headquarters in Rome, where Mississippi State Provost and Executive Vice President David Shaw and other university leaders met with officials on September 22 as part of a broader agri-food systems conference. The discussions focused on building more resilient food systems, a theme that has grown in urgency as aquatic foods supply an increasing share of animal protein for a growing global population while facing mounting pressures from disease, environmental change and intensifying production. The Rome meeting provided an opportunity to align the centre’s next five-year work programme with FAO’s strategic priorities on antimicrobial resistance and biosecure aquaculture.

Shaw emphasized the interconnected nature of the challenges the centre addresses. He noted that issues related to food security, animal health, environmental stewardship and human well-being are often deeply intertwined, even when institutions attempt to address them separately, and that aquatic food systems provide a particularly compelling example of those connections. In his view, the university’s experience in aquaculture, veterinary medicine and international food-security initiatives has repeatedly reinforced why collaborative, multidisciplinary approaches are essential. Addressing antimicrobial resistance, he said, requires scientists, veterinarians, producers, policymakers, regulators, environmental specialists and public health experts to work together across disciplines and sectors rather than in isolation.

Shaw also argued that universities carry a responsibility that goes beyond generating knowledge. As a land-grant institution, Mississippi State believes strongly that universities must connect expertise across disciplines and translate that knowledge into practical solutions for producers and communities. He described antimicrobial resistance as a reminder that complex challenges demand integrated approaches, and he identified a central lesson that the partnership with FAO highlights: the most effective response to disease is often prevention. That principle, in which biosecurity and good husbandry reduce the need for antimicrobial treatment in the first place, sits at the heart of the reference centre’s technical philosophy.

Stephen Reichley, who heads the FAO Reference Centre and serves as associate director of the Global Center for Aquatic Health and Food Security, said the redesignation recognizes the university’s continuing contributions at the intersection of aquatic animal health, antimicrobial stewardship, aquaculture biosecurity, food security and One Health. The One Health framework, which treats human, animal and environmental health as inseparable, has become the dominant lens through which international agencies approach antimicrobial resistance, since resistant organisms and the genes that confer resistance can circulate among people, livestock, wildlife, water and soil. Reichley noted that the work also reinforces the university’s role in supporting both the United States aquaculture sector and international efforts to build sustainable, biosecure aquatic food systems.

Reichley described the five-year redesignation as a reflection of FAO’s continued confidence in Mississippi State and, more importantly, as another opportunity to put the university’s expertise to work on challenges that affect producers and food systems around the world. By connecting research, diagnostics, education and extension, he said, the centre can help prevent aquatic animal disease, promote responsible antimicrobial use and strengthen aquaculture biosecurity from Mississippi to the global level. That combination of laboratory science, field diagnostics and outreach is characteristic of the land-grant model, in which discoveries move from research settings into the hands of farmers, veterinarians and regulators who can apply them.

The measurable record of the first designation period underlines the scale of that contribution. Between 2022 and the renewal, Mississippi State reported 47 scientific papers on antimicrobial resistance and aquatic biosecurity to FAO, along with 139 presentations and more than 30 research projects that advanced understanding of AMR in aquatic environments and improved aquaculture biosecurity practices. Those outputs fed directly into FAO’s mission of providing authoritative advice to its member nations, informing guidance on how farms can reduce disease risk through stocking density management, water quality control, vaccination, diagnostic surveillance and other preventive measures that limit the need for antimicrobials. With the agreement now extended through October 2031, the centre is positioned to build on that foundation at a moment when demand for aquatic protein is rising and the global fight against antimicrobial resistance has never been more consequential. Ongoing workshops and events connected to the centre’s work are listed through the Global Center for Aquatic Health and Food Security, offering producers, researchers and policymakers continuing avenues to engage with the science of biosecure, responsible aquaculture.

Subject of Research: Renewal of an FAO reference centre designation for research on antimicrobial resistance and biosecurity in aquaculture

Article Title: FAO renews university's designation as Reference Centre on Antimicrobial Resistance and Aquaculture Biosecurity

Article References: FAO renews university's designation as Reference Centre on Antimicrobial Resistance and Aquaculture Biosecurity. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: antimicrobial resistance, aquaculture, biosecurity, FAO, Mississippi State University, aquatic animal health, One Health, food security, antimicrobial stewardship, global center for aquatic health and food security, sustainable aquaculture, fish health

The announcement positions Mississippi State at the center of one of the most consequential research enterprises in the region. Cooperative Institutes are NOAA’s mechanism for extending its scientific reach into the academic community, pairing federal mission priorities with university expertise in modeling, observations and workforce training. CINGA joins a national network of 16 such institutes, which together encompass 80 universities and research institutions across 33 states and the District of Columbia. Within that network, the new institute will be affiliated with NOAA’s Atlantic Oceanographic and Meteorological Laboratory in Miami, Florida, a facility best known for hurricane research and atmospheric field campaigns.

Steve Thur, NOAA’s assistant administrator for Oceanic and Atmospheric Research, framed the award as a continuation of a proven partnership. “This collaboration builds on the 20-year partnership between NOAA and Mississippi State University through the Northern Gulf Institute,” Thur said. “CINGA will advance and support NOAA’s mission to apply science-based decision-making to the northern Gulf region.” The language reflects the institute’s core mandate: translating research into tools that resource managers, emergency officials and coastal policymakers can actually use when storms, oil spills, harmful algal blooms or shifting fish stocks threaten Gulf communities.

Mississippi State President Mark E. Keenum said the designation reinforces the university’s standing as a national leader in coastal and ocean research while opening new opportunities for Mississippi scientists, students and communities. “Mississippi State University is honored by NOAA’s selection and grateful for the opportunity to continue and expand this important partnership,” Keenum said. “This designation recognizes the world-class expertise of our faculty, researchers and staff, as well as the strength of the partnerships we have built throughout the Gulf region.” He added that the institute’s work is expected to generate discoveries that benefit coastal communities, strengthen economic opportunity and support the long-term sustainability of what he described as one of America’s most important natural resources.

The physical and computational infrastructure underpinning the partnership is substantial. Mississippi State and NOAA share a building at NASA’s Stennis Space Center on the Mississippi Gulf Coast, a site designed to keep federal and academic researchers working side by side rather than across institutional boundaries. NOAA has also invested in supercomputing systems managed by the university, and two of those systems have been ranked among the most powerful in the world. That computing capacity matters enormously for the institute’s scientific agenda, because modern environmental prediction depends on high-resolution numerical models of the atmosphere and ocean that demand enormous processing power to run at operational speeds.

The research portfolio already produced by the partnership illustrates the range of that capability. Among its most visible achievements is the advancement of large uncrewed aircraft systems, or drones, for storm response. These platforms can fly into and around severe weather in ways that are too dangerous or expensive for crewed aircraft, gathering data that helps NOAA and emergency officials better understand which areas face the greatest risk of flooding during weather events. That kind of observational technology feeds directly into the forecasting improvements that CINGA is designed to pursue, closing the gap between raw measurements and actionable warnings for people in the path of a storm.

Through the new institute, Mississippi State researchers and their partners will advance work supporting fisheries, coastal economies, maritime industries, hurricane and weather forecasting, ecosystem health and community resilience across the Gulf Coast, with particular attention to Mississippi’s coastal communities and industries. The institute’s major research themes include advancing environmental modeling and analysis technologies, improving forecasting capabilities for weather, ocean conditions and environmental hazards, promoting sustainable development of marine and coastal resources, and enhancing data stewardship and accessibility across the Gulf ecosystem. The data theme is increasingly central to modern environmental science: observations gathered by satellites, buoys, aircraft and ships are only useful if they can be quality-controlled, archived and delivered to modelers and decision-makers in near real time.

CINGA is structured as a consortium rather than a single-campus operation, bringing together researchers from nine institutions across the Gulf region. In addition to Mississippi State, the partners include Florida A&M University, Florida State University, Jackson State University, Louisiana State University and Texas A&M University, along with the University of Alabama in Huntsville, the University of Southern Mississippi and the Dauphin Island Sea Lab. That geographic and institutional spread matters for a system as large as the Gulf of Mexico, where ocean currents, river plumes, hurricane tracks and fishery stocks ignore state lines. It also embeds historically underrepresented institutions, including two historically Black universities, into the fabric of federally funded ocean and atmospheric research.

Beyond the science itself, the institute carries an explicit workforce mission. CINGA will provide hands-on research experiences and workforce development opportunities for students preparing for careers in science, technology and natural resource management, a pipeline function that NOAA considers central to the Cooperative Institute model. The agency describes its institutes as centers of excellence that leverage university research and educational expertise to support NOAA priorities while developing the next generation of scientists and professionals. For a region whose economy depends heavily on fisheries, shipping, tourism and energy, cultivating homegrown technical talent is arguably as consequential as any individual research finding.

Leadership of the new institute falls to Jamie Dyer, a Mississippi State geosciences professor who was recently named director of the Northern Gulf Institute, the predecessor organization on which CINGA is built. “This award reflects the extraordinary work of our researchers and partner institutions and the confidence NOAA has in our collective ability to serve the Gulf region,” Dyer said. “CINGA creates tremendous opportunities to deepen scientific collaboration, develop future workforce talent and provide actionable research that helps communities, resource managers and policymakers make informed decisions about the Gulf’s future.” The award carries the potential for a five-year renewal based on successful performance, meaning the institute’s trajectory, and its impact on the Gulf Coast, will be judged against the same standard it was created to meet: science that communities can use.

Subject of Research: NOAA's selection of Mississippi State University to host a new Gulf Coast cooperative environmental research institute

Article Title: NOAA selects Mississippi State to host new Northern Gulf research institute with up to $100 million in funding

Article References: NOAA selects Mississippi State to host new Northern Gulf research institute with up to $100 million in funding. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: NOAA, Mississippi State University, Cooperative Institute, Gulf of Mexico, coastal resilience, hurricane forecasting, environmental modeling, uncrewed aircraft systems, supercomputing, fisheries, workforce development, Northern Gulf Institute