KLK1 Expands Possibilities to Restore Vascular Health

Knowing that the protein tissue kallikrein-1 (KLK1) is effective in treating ischemic diseases is one thing. Manufacturing it as a recombinant protein has been quite another. So, when DiaMedica Therapeutics cracked the manufacturing aspect, it was well on its way toward commercializing KLK1 therapeutics.

The manufacturing breakthrough came when researchers realized that protein activity (which is essential for therapeutic benefit) was linked to certain glycosylation patterns. DiaMedica engineered the molecule to reflect those glycosylations and also made two changes to the amino acid sequence to improve manufacturability. “Then we partnered with Catalent,” Rick Pauls, president and CEO, says. “We are using its GPEx® technology with CHO cells,” which produces more cells within the same timeframe and thus lowers manufacturing costs.

Tenacity in action

This happened neither easily nor quickly. To understand the measure of this achievement, we need to look at DiaMedica’s history.

KLK1 came to DiaMedica’s attention because of liver research. “A liver physiologist cut the vagus nerve [which regulates liver metabolism] and discovered that the rats, effectively, became diabetic,” Pauls recounts. “We hypothesized that when a healthy person consumed a meal, the liver releases something that acts as an insulin sensitizer. We did some basic work and identified KLK1 as that insulin sensitizer.”

The company was founded in 2004 to develop a KLK1 therapeutic for complications related to Type II diabetes. Those trials failed. “It’s a long story,” says Pauls, that left the company “pretty close to bankrupt.”

DiaMedica, though, was tenacious. “We knew there was a human urine form of this protein that had been used for a few decades in Asia to treat acute ischemic stroke, and a porcine form treating hypertension for decades as well,” Pauls recalls. DiaMedica had the protein and the manufacturing know-how to produce active, recombinant proteins, and—with KLK1 levels low in stroke patients—a reason to pivot.

Ischemic stroke and preeclampsia

Its lead compound, DM199 (rinvecalinase alfa), is enrolling patients in Phase II/III trials for acute ischemic stroke. Called the ReMEDy2 trial, the company anticipates an interim readout near year’s end. Additionally, Phase I and II studies for preeclampsia and Phase II studies for fetal growth restriction are underway.

“This is protein restoration,” Pauls says. It targets ischemic stroke patients who have missed the three-to-four-hour post-stroke treatment window for tissue plasminogen activator (tPA) therapeutics or mechanical thrombectomy. Those patients constitute approximately 80% of acute ischemic strokes today, so “there is a huge unmet medical need,” Pauls says.

DM199 works by restoring normal levels of the KLK1 protein. KLK1, in turn, is thought to enhance the production of nitric oxide, prostacyclin, and endothelium-derived hyperpolarizing factor. Pouring through their own preclinical and clinical results, the DiaMedica team noticed that DM199 consistently enhanced blood circulation and lowered blood pressure.

That realization drove the team to also target preeclampsia, a hypertensive disease of pregnancy that Pauls says may be the company’s most exciting application for investors.

Unlike approved blood pressure therapeutics, DM199 does not cross the placental barrier, a critical safety feature that protects the fetus. After examining early clinical data, DiaMedica scientists also realized that increasing blood flow to the placenta could target the root cause of the disease and perhaps gain another few weeks of crucial time in utero for the fetus.

“Today, there are no approved treatments. Mothers are given labetalol and nifedipine to control blood pressure and to extend the baby’s time in utero for only a few days.” Results are less than ideal, and the consequences can be severe.

Pauls says, “Some 40% of babies born before 28 weeks could have long-term disabilities, and 10 to 15% will have problems with eyesight for life. There’s been a real lack of drugs in development because developers are worried about harming the baby.”

An investigator-led Phase II clinical trial is enrolling. Later this year, the company plans to initiate its own Phase II study focused on early-onset preeclampsia after recently receiving regulatory clearance to start the study in Canada.

If the molecule eventually is approved for preeclampsia, DM199 seems poised to become, perhaps, the first approved treatment that offers the potential to extend gestational days and possibly address a root cause of preeclampsia.

Leveraging the pivot

Unlike many biopharmaceutical companies, DiaMedica has been able to bypass some of the usual first steps by leveraging existing studies on KLK1, as well as existing clinical data for stroke and preeclampsia.

That allows researchers to focus on humans without the translational issues inherent in animal studies. It also helps the company identify the human subgroups most likely to benefit from these treatments and the most appropriate dosing regimen early. “Having that clinical data helps de-risk our program and gives a better possibility of success,” Pauls says, because, as he points out, “Animals are not the same as people.”

Once the company pivoted to its current indications six or seven years ago, the challenge shifted from getting and manufacturing the active form of the protein to selecting the best indications and assembling the right team members.

“In the early days, maybe we didn’t have the right level of experience with limited capital,” he admits. Today, “we’ve been able to bring people on board who have brought drugs to market.”

Readouts due in 2027

Currently, the company is focused tightly on its clinical trials. The next step for DiaMedica is to get readouts from many of those, with five readouts on various aspects of the programs expected between now and the end of 2027. Each of those readouts will report on about 30 patients and will be factors in the design of a subsequent pivotal trial.

Additionally, an interim analysis of the first 200 patients in its acute ischemic stroke trial is expected by the end of the year, Pauls says. “If we see a drug effect that’s comparable to our Phase II trial or the data with the urine form (of KLK1) from China—which treats close to a million patients per year—we’ll be looking at completing enrollment the following quarter for stroke and then for preeclampsia. DiaMedica is dedicated to offering second chances to acute ischemic stroke patients and others who haven’t had them before, all while pivoting to new opportunities itself. Now, as trials advance, Pauls says, “I think this should be a straightforward path.”

The post KLK1 Expands Possibilities to Restore Vascular Health appeared first on GEN – Genetic Engineering and Biotechnology News.

A New Development Playbook for PROTACs

Shanghao Li
Shanghao Li, PhD
International Marketing Associate Director, La, boratory Testing Division, WuXi AppTec

As proteolysis-targeting chimeras (PROTACs) mature from scientific breakthrough to clinical modality, a candidate’s degradation potency is no longer enough to justify its advancement. A strong degrader is not necessarily a strong drug candidate if liabilities in exposure, safety, selectivity, manufacturability, or dosing strategy emerge later. As the field advances, success will depend on whether sponsors can integrate chemistry, pharmacology, safety, manufacturability, and clinical strategy early enough to translate promising degraders into viable medicines.

PROTACs have helped redefine what may be possible in drug discovery. By harnessing the ubiquitin-proteasome system to eliminate disease-relevant proteins, rather than simply inhibiting their activity, they have expanded the scope of targets that may be therapeutically addressable. For the past several years, much of the excitement around PROTACs has centered on this breakthrough mechanism. The field has been driven by the promise of degrading previously “undruggable” proteins, improving selectivity, and potentially overcoming resistance mechanisms that limit traditional inhibitors. But as clinical programs progress and the modality moves closer to late-stage regulatory milestones, the central question is changing.

The issue is no longer whether targeted protein degradation works. It is whether promising degraders can be translated into clinically and commercially viable therapies.

That transition marks an important phase of maturity for PROTAC development. The next wave of progress will depend on translational discipline and the ability to balance potency with developability, pharmacology, safety, manufacturability, and clinical feasibility from the earliest stages of development.

Entering a new phase of maturity

Early PROTAC innovation was rightly focused on validating the modality itself. Demonstrating that a heterobifunctional molecule could recruit an E3 ligase, drive ubiquitination of a target protein, and induce selective degradation was a foundational scientific achievement. That early work established targeted protein degradation as part of a broader wave of transformational therapeutic modalities, alongside approaches such as RNA interference therapeutics and antibody–drug conjugates, that have expanded what drug developers can target and how they think about translation.

Today, however, the field is operating under a different set of expectations. As more candidates advance through clinical development, sponsors must show not just that a PROTAC can degrade a target, but that it can do so with an exposure profile, safety margin, formulation strategy, and manufacturing pathway appropriate for clinical applications. A potent degrader in vitro may still fail to become a viable development candidate if it cannot achieve sufficient intracellular exposure, is metabolically unstable, if its degradation profile extends beyond the intended target set, or if its chemistry introduces manufacturing and formulation complications that slow advancement.

In other words, the scientific novelty of a modality can carry a program only so far before technical feasibility must be addressed for a candidate to advance. For PROTACs, that moment has arrived.

Potency alone is an incomplete metric

Degradation potency remains important. Maximum degradation, degradation half-life, and related pharmacodynamic measures are essential for understanding whether a molecule is engaging its biology as intended. But potency on its own can be misleading, particularly when it becomes the dominant criterion for candidate selection.

PROTACs are not conventional inhibitors. Their event-driven, catalytic mechanism introduces complexities that make exposure-response relationships less intuitive than those seen with traditional small molecules. Biological effects may persist after plasma concentrations decline, while higher concentrations do not necessarily lead to greater activity. In some cases, excessive exposure may even reduce degradation efficiency because of saturation effects that limit productive ternary complex formation.

This means the “best degrader” in a screening cascade is not always the best drug candidate. A molecule may demonstrate impressive degradation in a cellular assay while carrying liabilities that emerge only later, such as poor permeability, limited oral bioavailability, rapid linker metabolism, high nonspecific binding, unstable analytical performance, or off-target degradation driven by ligase biology or ternary complex behavior. If those issues are not considered early, potency can create a false sense of confidence in a degrader’s potential for clinical use.

Development workflows fall short

One reason translational issues emerge so frequently in PROTAC programs is that many development workflows still reflect assumptions built around traditional small molecules. In those models, discovery, DMPK, bioanalysis, toxicology, and chemistry, manufacturing, and controls (CMC) often proceed in a staged or partially sequential manner, with each function evaluating modality-relevant properties within its own domain before handing it forward.

With targeted protein degraders, however, early chemistry decisions can directly influence permeability, intracellular exposure, metabolic clearance, assay reliability, biodistribution, and manufacturability. Linker design, ligand selection, and overall polarity are not simply medicinal chemistry concerns; they shape how the molecule behaves across the entire development continuum. Likewise, a bioanalytical challenge may obscure the interpretation of PK/PD relationships, complicate dose optimization, or delay confidence in candidate selection.

The same is true for safety. Because PROTACs eliminate proteins rather than transiently inhibiting them, the consequences of target engagement can differ meaningfully from those associated with conventional inhibitors. On-target toxicity may emerge when complete or prolonged degradation is not tolerated, even if partial functional inhibition is acceptable. Off-target effects may arise not only from target promiscuity, but also from E3 ligase recruitment and unintended ternary complex formation. These risks cannot be addressed effectively if safety is considered only after potency and exposure have been optimized.

Traditional workflows can also underweight manufacturability and CMC considerations. PROTACs are generally handled as small molecules, but their structural complexity can create multi-step synthesis challenges, impurity-control difficulties, and formulation constraints much earlier than teams may expect. When these issues are discovered late, promising programs can lose momentum for reasons that have little to do with biology.

The core issue is not organizational design alone. It is that PROTACs expose the limits of linear decision-making. They require earlier integration because the liabilities that determine success are tightly interconnected.

PROTAC-specific development

If PROTACs require a different development model, what would it look like?

First, a successful PROTAC development plan should begin with balanced optimization across parameters rather than sequential, single-parameter optimization. Candidate selection should account not only for degradation potency, but also for permeability, solubility, metabolic stability, intracellular exposure, selectivity, formulation feasibility, and synthetic tractability. Programs that rank candidates holistically are better positioned to recognize which molecules are genuinely translatable.

Second, the PK/PD strategy should be built around the biology of degradation. Because systemic exposure does not fully explain pharmacological effect, teams increasingly need direct measures of target degradation and recovery kinetics, not just plasma concentration data. Mechanistic PK/PD models can help connect degradation durability, protein resynthesis, and dosing schedule in a way that better reflects how PROTACs work in vivo.

Third, bioanalysis should be treated as a strategic enabler rather than a downstream technical function. PROTACs can introduce assay complications, including nonspecific binding, chromatographic artifacts, and instability across matrices. Robust analytical methods are essential not only for quantitation but for making reliable decisions about exposure, disposition, and translation across study systems.

Fourth, safety assessment must expand beyond conventional assumptions. Early proteomic profiling, tissue distribution analysis, and evaluation of degradation selectivity can help identify liabilities before they become entrenched in a program. For PROTACs, understanding where degradation occurs, how long it persists, and what unintended proteins may be affected is central to designing an acceptable therapeutic window.

Finally, CMC and manufacturability should be considered earlier than many teams may be accustomed to. A molecule with compelling pharmacology but limited synthetic scalability, poor solid-state properties, or unstable formulation behavior may not be a strong development candidate. Integrating these realities earlier supports smarter program prioritization and reduces late-stage surprises.

Taken together, these elements define a development playbook centered on translation. They signal a maturation of the field, in which the emphasis shifts from demonstrating biological power to establishing overall developability, recognizing that promising degraders must ultimately succeed as integrated therapeutic candidates, not just mechanistic innovations.

Sponsors can improve the odds

For sponsors advancing PROTAC programs, translation should be a design principle from the beginning. That starts with cross-functional alignment early in discovery. Chemistry, DMPK, bioanalysis, safety, and CMC teams should work together to shape candidate criteria, so that trade-offs are recognized early, and optimization reflects the realities of development rather than the priorities of any one function.

It also means adopting more realistic success metrics. Degradation data should remain central, but it should be interpreted alongside developability, not in isolation from it. Sponsors may also benefit from building translational assays and biomarkers earlier. The ability to directly measure target degradation and connect it to pharmacodynamic effect can strengthen decision-making throughout preclinical and clinical development. In a modality where traditional exposure markers may be incomplete, translational pharmacology can provide strategic direction.

Most importantly, teams should resist the temptation to force PROTACs into a conventional small-molecule framework. These candidates may be classified as small molecules for many regulatory purposes, but functionally, they behave as a distinct modality. Treating them as such allows the development strategy to evolve in step with biology.

The next phase of PROTAC success

PROTACs have already shifted the pharmacological landscape around drugability. Their next contribution may be just as important by forcing the industry to rethink what a good development strategy looks like for complex, mechanism-driven therapeutics. As the field matures, successful drug sponsors will be those who can translate degradation into a developable, manufacturable, safe, and clinically meaningful therapy. That requires a different playbook built on integration, balanced optimization, and translational discipline. For PROTACs, that is no longer a future concern. It is the central challenge of the present.

 

Shanghao Li, PhD, currently serves as international marketing associate director in the Laboratory Testing Division at WuXi AppTec.

The post A New Development Playbook for PROTACs appeared first on GEN – Genetic Engineering and Biotechnology News.

$10 Million Donation Boosts Treatment Development for Ultra-Rare Disease

The Clayco Foundation has gifted $10 million to researchers at the Perelman School of Medicine at the University of Pennsylvania to help them to development a potential treatment for the ultra-rare disease retinal vasculopathy with cerebral leukoencephalopathy (RVCL).

“This is a disease that affects so many organs across the body, so a typical targeted gene therapy doesn’t work,” said Jonathan Miner, MD, PhD, an associate professor of Rheumatology at Penn, who leads the work. “We have developed something that labels abnormal proteins—just like you would a package. The body’s cells can then read that label and ship the protein to a specific location in the cell for destruction.”

RVCL is an inherited, autosomal dominant disease caused by mutations in a gene called TREX1 that affects around 200 people across the world. The mutation causes DNA damage and premature death of the endothelial cells that line small blood vessels. Over time, the surrounding tissue receives less blood and oxygen and begins to malfunction or die.

People with the condition usually present in mid‑adulthood with slow vision loss from retinal vasculopathy and then develop stroke‑like episodes, cognitive decline, and psychiatric symptoms linked to white‑matter damage in the brain. There is no current disease-modifying treatment for the condition and people with the condition usually die in mid-late adulthood.

Miner directs the RVCL Research Center at Penn. He and his team are working on several potential therapies for this very rare disease including the one funded by this donation, a small molecule drug candidate that can degrade damaged TREX1 proteins in the body.

“In mice with the human mutation who get this disease, the degrader molecule saves their lives,” explained Miner in a press statement. “It stops organ damage and stabilizes them from further harms.”

The candidate therapy works by linking the faulty protein to an enzyme, an E3 ligase, that marks unwanted proteins so the cell can break them down. The damaged protein is then rapidly cleared by the cell’s disposal machinery, while normal proteins are spared.

The $10 million donation from the Clayco Foundation will help Miner and colleagues move this drug candidate closer to the clinic.

The Clayco Foundation is Chicago‑based and is closely linked to the design‑build firm Clayco, which was founded in the 1980’s by Bob Clark. Clark’s wife Ellen died of RVCL in 2010 and because of this the foundation has a strong focus on funding research that helps people with the condition.

Miner and colleagues are also working on a couple of genetic therapies for RVCL using CRISPR and prime-editing technology. They are also assessing if crizanlizumab, a P‑selectin–blocking monoclonal antibody currently approved to reduce sickle cell crises, could be repurposed to also treat RVCL.

The post $10 Million Donation Boosts Treatment Development for Ultra-Rare Disease appeared first on Inside Precision Medicine.

STAT+: ‘Secret shopper’ study probes GLP-1 telehealth sites

You’re reading the web edition of STAT’s Health Tech newsletter, our guide to how technology is transforming the life sciences. Sign up to get it delivered in your inbox every Tuesday and Thursday.

Good morning health tech readers!

If it feels like despite your employer offering health insurance you’re still paying a lot of money for health coverage and care, you’re not wrong. Bob Herman’s new series, Out of Pocket, Out of Reach, explores the impacts of soaring health care costs.

Continue to STAT+ to read the full story…

<![CDATA[Phase 3 data show COMP360 psilocybin delivers rapid, lasting relief in treatment-resistant depression; FDA filing advances toward 2027 launch.]]>

The Download: your stake in OpenAI, and the Treasury’s AI warning

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

Your family’s $300 stake in OpenAI

Sam Altman’s proposal that Americans should share in the wealth created by AI is back in the spotlight, with reports that he is discussing giving the US government a 5% stake in OpenAI. At the company’s current valuation, that stake would be worth roughly $320 per American household.

The idea is meant to address concerns that AI companies are benefiting from human-generated work without compensating creators, while also easing fears that AI will cause a collapse of the labor market by providing a safety net. 

The details, however, remain unclear. Indeed, the offer may be more powerful as a political narrative than as a policy plan.

Read the full story on what the dividend proposal reveals about the future of AI.

—James O’Donnell

This article is from The Algorithm, our weekly AI newsletter. Sign up to receive it in your inbox every Monday.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

 1 A leaked Treasury report compares the AI market to the dotcom bubble
 Which contradicts the administration’s public optimism about AI. (NOTUS)
+ Fears that the market is overinflated are growing. (Reuters $)
+ And AI profits are hiding bigger risks in earnings reports. (FT $)
+ What even is the AI bubble? (MIT Technology Review)

2 Samsung profits have jumped 1,800% on booming AI chip sales
It just reported its third consecutive record quarterly profit. (BBC)
+ But its shares slumped over fears that the AI boom will stall. (Reuters $)
+ That boom has turned Samsung into a $1 trillion company. (CNBC)
 
3 A US cyber agency is using Mythos to audit government code
Sources say CISA is tapping Anthropic’s model to search for bugs. (Reuters $)
+ Agencies are using it despite Anthropic’s feud with the White House. (Axios)
 
4 Illinois’ governor has signed the nation’s strongest frontier AI law
It’s designed to protect citizens from AI risks. (Gizmodo)
+ US lawmakers are clashing over AI rules. (MIT Technology Review)
 
5 A hidden tracker in Claude Code has been exposed and removed
It secretly monitored users in China. (WP $)
+ Critics said it shows Anthropic’s willingness to surveil users. (Ars Technica)
+ The company has also found a hidden “thinking” space in Claude. (Axios)

6 Russia is suspected of flying drones over Europe from a shadow fleet
The flights were reportedly launched from commercial ships. (Ars Technica)
+ Europe has a drone-filled vision for future wars. (MIT Technology Review)
 
7 A controversial AI “actor” is set to star in its first feature film
Tilly Norwood will debut in a comedy-drama called “Misaligned.” (Variety)
+ A major actors union has lambasted the AI creation. (NBC News)

8 AI costs are driving US companies toward Chinese models
Businesses are hunting for cheaper model alternatives. (CNBC)
+ Chinese AI labs are betting big on open source. (MIT Technology Review)
 
9 Researchers have shown quantum proofs can beat classical ones
They found a problem that classical proofs can’t solve. (Quanta)

10 Earth will never be swallowed by the sun, according to new models
But it probably won’t be much fun to live here by that point anyway! (Wired $)

Quote of the day

“The goal might be to make machines in our image. But what I fear is that—perhaps without even quite noticing—we remake ourselves in theirs.” 

—Reporter Sarah O’Connor sounds a note of caution in her new book, We Are Not Machines, the Guardian reports.

One More Thing

mammoth walking on a strand of DNA

KATE DEHLER


Adventures in the genetic time machine

Eske Willerslev, a specialist in recovering DNA from old bones and objects, has made numerous breakthroughs. These include recovering the first more or less complete genome of an ancient human and 2.4-million-year-old genetic material from Greenland, revealing that today’s Arctic desert was once a forest with poplar, birch, and mastodons.

These findings are part of a wave of discoveries from what’s being called an “ancient-DNA revolution.” 

Beyond revealing stories of human migration and vanished ecosystems, scientists believe ancient DNA can unearth clues about modern diseases. It could even lead to a better food supply for our warming world. “And can we get that?” Willerslev asks. “Yes, I believe we can.”

Discover how ancient DNA could rescue the future. 

—Antonio Regalado

We can still have nice things

A place for comfort, fun, and distraction to brighten up your day. (Got any ideas? Drop me a line.)

+ Underworld’s electric set from EDC Las Vegas 2026 has been released as a full concert video.
+ This photographic journey through global soccer culture captures the mad passion of fandom around the world.
+ Feeling unhinged? Me too. This playlist of gloriously intense classical music sympathetically captures the mood.
+ If you’re looking for visual inspiration, this collection of graphic design archives from across the web is a goldmine.

<![CDATA[Therapeutic drug monitoring clarifies adherence and plasma levels, while long-acting injectables and patches reduce variability and support patient-centered benefit-risk decisions.]]>

Prototypical graph based deep label propagation with semantic augmentation for cross-subject and cross-session EEG emotion recognition

Electroencephalogram (EEG)-based emotion recognition faces significant generalization challenges in cross-subject and cross-session settings, primarily due to the inherent non-stationarity, individual differences, and semantic deficiency of EEG signals. To address these challenges and enhance the universality of affective brain-computer interface systems, this study proposes a novel unsupervised domain adaptation framework named Prototypical Graph-based Deep Label Propagation with Semantic Augmentation (PGDLP). PGDLP seamlessly integrates three core components—prototypical semantic augmentation, prototype-graph deep label propagation, and prototypical alignment—into an end-to-end optimized system. Specifically, class-wise multivariate normal distributions are constructed using source-domain feature statistics to augment target-domain features semantically, bridging the domain gap and mitigating semantic insufficiency. An adaptive similarity graph based on prototype-semantic distances is designed to optimize pseudo-label quality while reducing computational complexity. It is combined with linear projection and an exponential moving average (EMA) for dynamic refinement. Dual intra- and inter-domain alignment losses with an adaptive balance factor are introduced to enhance intra-class compactness and inter-domain transferability, thereby facilitating the learning of discriminative and domain-invariant features. Extensive experiments are conducted on three benchmark datasets (SEED, SEED-IV, DEAP) under four rigorous evaluation protocols (cross-subject cross-session, cross-subject single-session, within-subject cross-session, cross-database). Overall, PGDLP achieves superior recognition accuracy and generalization performance compared with most state-of-the-art methods across the majority of evaluation protocols. PGDLP also presents strong robustness against label noise, stable hyperparameter performance, and fast convergence. The results demonstrated that PGDLP outperforms state-of-the-art methods in recognition accuracy and generalization, with verified robustness to label noise, stable hyperparameters, and efficient convergence. This study provides a promising solution for unsupervised cross-domain EEG emotion recognition and offers valuable insights for domain adaptation research on other physiological signals.

Development of a transformation model to analyze horizontal saccadic velocity using electrooculography: a pilot feasibility study

IntroductionSaccadic eye movements are established biomarkers in neuroscience and clinical neurology, with video-oculography (VOG) serving as the gold standard for measurement. However, the high cost, bulky equipment, and poor portability of VOG systems restrict their clinical utility. Electrooculography (EOG) provides a practical alternative, but quantitative conversion of EOG-derived measurements into VOG-equivalent values remains insufficiently established. This study aimed to develop and validate a mathematically derived transformation model for estimating VOG-equivalent horizontal saccadic velocities from EOG recordings.MethodsFour healthy adults underwent simultaneous EOG and VOG recordings while performing controlled horizontal gaze shifts. Based on a current-source model of the corneal potential, an analytical relationship between EOG voltage velocity and angular eye velocity was derived. Multiple high-pass filter settings were systematically evaluated to identify optimal signal-processing conditions. Transformation equations were derived from the pooled horizontal-saccade dataset and further evaluated using leave-one-subject-out (LOSO) analysis.ResultsThe theoretical model predicted a linear relationship between EOG- and VOG-derived saccadic velocities. Among the tested filter settings, a 0.3 Hz high-pass combined with a 35 Hz low-pass filter yielded the best overall agreement. Under this condition, the final transformation model produced a common slope coefficient of 0.146 °/μV for both movement directions, with an additional direction-specific intercept of −82.37 °/s for rightward saccades. Converted EOG-derived velocities showed no significant differences from measured VOG-derived velocities. LOSO validation demonstrated stable transformation coefficients (mean slope = 0.147 °/μV, mean intercept = −82.47 °/s) and maintained agreement across individuals.ConclusionA biophysically derived and experimentally validated EOG-to-VOG transformation model can provide accurate estimates of horizontal saccadic velocity under appropriate filtering conditions. These findings support the feasibility of quantitative saccadic analysis using EOG, providing a practical alternative to VOG.