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Eco-friendly mechanochemical route yields antioxidant thiazolyl-hydrazone phenolic compounds

11 September 2026 at 11:43

In a finding that could reshape how medicinal chemists produce antioxidant compounds, a team of Italian researchers has developed a rapid, solvent-minimized ball-milling method for synthesizing thiazolyl–hydrazone derivatives — molecules that in laboratory tests proved to be more potent radical scavengers than vitamin C. The work, published in Results in Chemistry, combines green chemistry principles with computational modeling to deliver a class of compounds with significant promise for combating oxidative stress, the destructive process implicated in aging, cancer, and chronic disease.

The research, led by Roberto Scipione, Sebastiano Masuri, Ester Sedda, Tiziana Pivetta, Andrea Porcheddu, Maria Grazia Cabiddu, and Andrea Citarella at the University of Cagliari, tackles a long-standing challenge in synthetic chemistry: how to produce polyphenolic thiazolyl–hydrazones efficiently without drowning the process in solvents and energy. Traditional approaches require hours of refluxing in hot ethanol, consuming large volumes of solvent and generating substantial waste. The new protocol accomplishes the same transformation in two hours at room temperature using less than half a milliliter of ethanol.

The molecules at the heart of the study belong to a family of organic compounds that chemists prize for their antioxidant potential. Thiazole-containing heterocycles — five-membered rings containing both sulfur and nitrogen — are known to facilitate the decomposition of hydroperoxides and to chelate metal ions that would otherwise catalyze damaging reactions. Hydrazone linkers add a further dimension of reactivity: their nitrogen-hydrogen bonds can donate hydrogen atoms to neutralize free radicals, and the resulting radical species are stabilized through electron delocalization. When researchers attach catechol or guaiacol phenolic groups — structural motifs found in celebrated antioxidants like the polyphenols of olive oil and green tea — the molecules become even more effective at scavenging radicals, because the phenoxy radicals formed after hydrogen donation are exceptionally stable.

Oxidative stress arises when reactive oxygen and nitrogen species overwhelm the body’s endogenous antioxidant defenses. The resulting damage to lipids, proteins, and DNA is a hallmark of chronic inflammation, cancer progression, and aging. Designing small molecules that can intercept these reactive species has therefore been a major goal of medicinal chemistry for decades. The thiazolyl–hydrazone framework synthesized by the Cagliari team combines several radical-scavenging architectural elements in a single molecule, creating compounds whose potency in standardized assays exceeded that of ascorbic acid, the benchmark reference compound.

The synthetic breakthrough lies in mechanochemistry — the use of mechanical force, delivered by grinding balls in a laboratory mill, to drive chemical reactions without bulk solvent. The researchers used a Retsch MM500 mixer mill operating at 30 Hz with zirconia jars and balls, running the entire two-step sequence in a single jar without ever isolating an intermediate. In the first step, an aldehyde condenses with thiosemicarbazide to form a thiosemicarbazone; in the second, that intermediate cyclizes with a phenacyl bromide to close the thiazole ring. A catalytic amount of acetic acid and a tiny quantity of ethanol — a technique called liquid-assisted grinding, or LAG — proved essential: without any liquid additive, conversion was a dismal 10 percent, but adding ethanol at a ratio of one microliter per milligram of solid reagents pushed yields to around 85 percent.

The full telescoped protocol — both steps performed consecutively in the same jar — delivered the target compound in 80 percent yield, matching or beating the conventional two-step route that requires 12 hours of reflux at 80 °C in 25 mL of ethanol. When the team scaled the reaction up to 20 mmol using a 50 mL jar, the protocol held up remarkably well, affording a 71 percent yield with an even smaller amount of grinding liquid, simply reduced to a quarter of the original ratio. Product isolation required nothing more than adding ethanol and filtering — no column chromatography.

Green metrics quantified just how dramatic the improvement is. For the representative compound ES3, the mechanochemical route reduced solvent consumption by 99 percent, from 40.8 mL per gram of product to 0.38. The Process Mass Intensity, a measure of total material used per unit of product, plummeted from 35.3 to 2.05 — a seventeenfold improvement. The E-factor, which captures waste generation, fell from 34.3 to 1.05, roughly a thirty-threefold reduction. Reaction Mass Efficiency nearly doubled, rising from 32.3 to 57.1 percent, while overall yield climbed from 42 percent to 80 percent. These are not incremental gains; they represent a fundamental shift in the resource profile of the synthesis.

The antioxidant activity of the fifteen compounds in the series was assessed using two well-validated assays: DPPH and ABTS, both of which measure the ability of a molecule to neutralize stable free radicals. Every compound showed activity in the micromolar range, and several outperformed ascorbic acid in both assays. The standouts were those bearing the 3,4-dihydroxy (catechol) motif: compound ES26 recorded an EC50 of 8.4 μM in the DPPH assay and an extraordinary 2.59 μM in the ABTS assay, compared with 18.6 and 12.2 μM for ascorbic acid, respectively. Compounds ES27 and ES28 performed nearly as well, while several methoxy-substituted derivatives — ES9, ES16, and ES17 — also beat the vitamin C benchmark.

Density Functional Theory calculations provided mechanistic insight into why the catechol-bearing compounds are so effective. By computing bond dissociation enthalpies, ionization potentials, proton affinities, and related thermochemical descriptors, the team mapped the three canonical antioxidant pathways: hydrogen atom transfer (HAT), single-electron transfer followed by proton transfer (SET-PT), and sequential proton loss electron transfer (SPLET). The results indicate that in the gas phase, HAT is the thermodynamically preferred route, with the hydrazone NH group serving as the primary hydrogen donor in the simpler benzaldehyde-derived compounds. In vanillin-based molecules, hydrogen abstraction from the phenolic OH becomes competitive; in the catechol derivatives, abstraction from the 4-OH position is decisively favored, owing to the additional stabilization of the phenoxy radical by an intramolecular hydrogen bond with the adjacent hydroxyl group. In solution, the SPLET pathway gains relevance, as solvation stabilizes the anionic intermediates that form upon proton loss.

The structure–activity relationships that emerged are consistent with established antioxidant chemistry. Electron-releasing groups such as methoxy substituents on the thiazole ring enhance radical-scavenging activity, whereas electron-withdrawing bromine substituents diminish it — a trend that can be mitigated when a catechol group is present elsewhere in the molecule. The computational analysis of frontier molecular orbitals confirmed extensive π-conjugation across the molecules and showed how substituents tune the HOMO–LUMO gap in ways that correlate with observed reactivity. The authors note that the slightly reduced coplanarity in the dimethoxy-substituted ES26, evidenced by a dihedral angle of 172.9 degrees versus 176.95 degrees in its monomethoxy counterpart, subtly alters the electronic landscape of the frontier orbitals.

What distinguishes this study is the marriage of two agendas that are often pursued separately: the design of biologically active antioxidant scaffolds and the radical greening of the synthesis itself. Mechanochemistry has been gaining momentum across organic synthesis as a way to slash solvent use and energy input, but demonstrations that combine solvent-minimized one-pot telescoping with preparative scale-up and rigorous green-metrics accounting remain relatively rare. The Cagliari team has shown that a complex, multicomponent heterocyclic synthesis — involving condensation, cyclization, and the construction of a sulfur-nitrogen heterocycle — can be executed cleanly in a single milling jar without heating.

The implications extend beyond the laboratory bench. Antioxidant scaffolds like the thiazolyl–hydrazones synthesized here are candidates for further biological evaluation, and the authors indicate that future work will probe mechanistic aspects and explore preliminary biological evaluations to define the translational potential of these molecules. If the exceptional radical-scavenging activity observed in vitro carries through to cellular or in vivo contexts, the compounds could serve as leads for agents targeting oxidative-stress-related pathologies. And because the synthetic route is scalable, solvent-lean, and operationally simple, the barrier to producing gram quantities of these candidates for further testing is substantially lower than it would be with conventional methodology.

The study also underscores a broader lesson for the pharmaceutical and fine-chemical industries: green metrics such as PMI and E-factor are not abstract sustainability scores but concrete indicators of process quality — lower waste, lower cost, higher yield, and simpler workflows all at once. By demonstrating a sixfold reduction in reaction time, a near-total elimination of solvent, and improved yields in the same breath, the researchers have provided a compelling case study for how mechanochemistry can move from academic curiosity to practical synthetic platform.

As the search for effective antioxidant therapeutics continues, this work offers a template: design molecules around well-understood radical-stabilizing motifs, synthesize them with minimal environmental footprint, and validate their activity with rigorous in vitro and computational analysis. The thiazolyl–hydrazones that emerged from the zirconia jars in Cagliari — particularly the catechol-bearing champions ES26, ES27, and ES28 — now stand as both chemical achievements and potential starting points for the next generation of radical-scavenging agents.

Subject of Research: Green mechanochemical synthesis of thiazolyl–hydrazone phenolic derivatives and evaluation of their antioxidant activity

Article Title: Green mechanochemical synthesis of thiazolyl–hydrazone phenolic derivatives and evaluation of their antioxidant activity

Article References: Scipione, R., Masuri, S., Sedda, E., Pivetta, T., Porcheddu, A., Cabiddu, M. G., & Citarella, A. (2026). Green mechanochemical synthesis of thiazolyl–hydrazone phenolic derivatives and evaluation of their antioxidant activity. Results in Chemistry, 30, Article 103794. https://doi.org/10.1016/j.rechem.2026.103794

Image Credits: AI Generated

DOI: 10.1016/j.rechem.2026.103794

Keywords: mechanochemistry, ball milling, green chemistry, thiazolyl–hydrazone, antioxidant activity, DPPH assay, ABTS assay, catechol, liquid-assisted grinding, DFT calculations, E-factor, radical scavenging

Giant-nucleus cells emerge as early cancer markers in new study

11 September 2026 at 11:21

For more than four decades, pathologists have glimpsed something unsettling under the microscope in the earliest stages of certain cancers: cells with nuclei far larger than they should be, swollen and distorted, lurking in tissue that otherwise appears on the verge of catastrophe. These so-called giant-nucleus cells, or karyomegalic cells, were first spotted in the 1980s in animal experiments involving iron-induced oxidative stress, yet their biological identity and their role in the genesis of cancer remained stubbornly obscure. Now, a team of researchers in Japan has provided the most detailed portrait of these cells to date, and their findings suggest that the enormous nuclei may be far more than a curiosity—they could be the founding population of early cancer, visible before any tumor exists, and potentially useful as a predictor of patient outcomes.

The study, led by Shinya Toyokuni, professor emeritus at Nagoya University Graduate School of Medicine, together with assistant professor Yingyi Kong and colleagues, was published in Redox Biology. The work addresses a deceptively simple question: when iron overload kills most cells in a tissue through oxidative damage, who survives, and what do the survivors become? Iron is an essential micronutrient, but in excess it is a potent carcinogen. Its chemistry is both the reason we need it and the reason it can harm us. Iron catalyzes the formation of hydroxyl radicals from hydrogen peroxide through the Fenton reaction, and these radicals shred DNA, oxidize lipids, and damage proteins. When the damage is severe enough, a form of programmed cell death called ferroptosis is triggered—an iron-dependent demise characterized by lipid peroxidation cascades that rupture the cell membrane. Ferroptosis has become one of the hottest topics in cancer biology precisely because it links iron metabolism, oxidative stress, and cell fate in a single mechanism.

Toyokuni’s team reasoned that if ferroptosis sweeps through iron-damaged tissue, the cells that escape it must be exceptional in some way, and those exceptions might be the seed of malignancy. To find out, they turned to a well-established animal model in which ferric nitrilotriacetate, a carcinogenic iron compound, is injected into rats, delivering a bolus of iron to the kidneys. The compound accumulates in the proximal tubules, where it catalyzes oxidative damage and, over months, produces renal cell carcinoma. In the experiments, the researchers collected kidney tissue before the injection and again one and three weeks afterward. Crucially, they also included a second experimental group: rats carrying a single mutated copy of the BRCA1 gene, the same gene that, when mutated in humans, dramatically raises the risk of breast and ovarian cancers and is associated with renal carcinoma in certain contexts.

The methodological heart of the study lies in its marriage of two technologies. The first is spatial transcriptomics, a technique that maps gene activity across individual cells within a tissue section while preserving the tissue’s original architecture—so researchers can see not only which genes are active but where in the tissue those transcriptional programs are operating. The second is computational nuclear morphometry, which quantifies the size, shape, and density of cell nuclei in the same samples. By overlaying the two datasets, the team could link the physical appearance of each cell—above all, the size of its nucleus—to its underlying transcriptional state. This integration is important because morphological atypia has long been the currency of diagnostic pathology, but connecting that atypia to molecular signatures at single-cell resolution is a recent capability.

What emerged within a week of iron administration was striking. Giant-nucleus cells appeared in the damaged kidneys, and these cells were not simply wounded cells awaiting death. They showed elevated expression of potent oncogenes, including Myc and Met, and they had acquired resistance to ferroptosis—the very cell death pathway that was eliminating their neighbors. In other words, the extreme oxidative environment had functioned as a brutal selective pressure, and the cells best adapted to survive it had activated a program that resembles, in miniature, the hallmark machinery of cancer. The enrichment of Myc, a transcription factor that drives cell growth and proliferation, and Met, a receptor tyrosine kinase involved in invasive growth, paints a picture of cells that are not merely enduring damage but reorganizing themselves around it.

The BRCA1 connection proved equally consequential. BRCA1 is best known as a guardian of the genome, a scaffold for the homologous recombination machinery that repairs double-strand DNA breaks. In the BRCA1-mutant rats, giant-nucleus cells emerged with distinctly different biological profiles from those in wild-type animals. The interpretation the researchers offer is that BRCA1 deficiency cripples DNA repair, so more of the damaged cells that would otherwise die or be repaired instead survive in their injured, genome-compromised state—becoming precancerous giant-nucleus cells. Electron microscopy and cellular respiration measurements reinforced this idea at the subcellular level: cells from BRCA1-mutant rats showed mitochondrial remodeling, with impaired iron handling and compromised respiratory function. Mitochondria, long appreciated as power plants, are also central regulators of ferroptosis and iron metabolism, and their disarray in the mutant animals may be both a consequence of BRCA1 loss and a driver of the abnormal iron biology that feeds karyomegaly.

Using their combined gene-expression and nuclear-shape data, the researchers went further and classified the giant-nucleus cells into six distinct types. One type possessed extremely large nuclei and gene signatures of stress-induced growth arrest—cells that appear to have locked themselves into a senescent-like state, consistent with profiles reported in earlier studies. Another type, found more frequently in BRCA1-mutant kidneys, showed heightened activity of cancer-related genes alongside elongated nuclei, a combination the authors interpret as a potential precancerous state. The taxonomy matters because it reframes giant-nucleus cells from a single enigmatic category into a spectrum, some members of which may be harmless or even protective while others carry genuine malignant potential.

One of the most provocative findings concerns the cells surrounding the giants. Even morphologically normal cells near giant-nucleus cells exhibited gene expression changes that appear to promote survival, suggesting that the karyomegalic cells remodel their local microenvironment in ways that extend beyond their own borders. In BRCA1-mutant kidneys, the team also documented a substantial increase in stromal cells—non-cancerous supportive cells including immune and connective tissue elements—around the damaged regions. The local tissue environment, the tumor niche in the language of modern oncology, was being reshaped long before any tumor could be called a tumor. This raises the possibility that a single conspicuous cell, easily identified by its nucleus under a conventional microscope, could serve as a sentinel for a whole neighborhood of incipient malignancy.

The leap from rat kidneys to human medicine came through two complementary analyses. First, the researchers mined TCGA-KIRC, a large public database of kidney cancer patients, asking whether tumors carrying gene-expression patterns resembling the cancer-prone giant-nucleus cells were associated with different clinical trajectories. They were: patients whose tumors shared the gene patterns of the cancer-prone giant-nucleus cells had shorter survival times, while those with patterns resembling the healthier giant-nucleus cell types had better outcomes. Not all giant-nucleus cells, in other words, are created equal, and the transcriptional fingerprints defined in the rat model appear to carry prognostic weight in human disease. Second, in a small pilot study, the team examined breast tissue from seven individuals with inherited BRCA1 mutations and fifteen without, observing abnormal nuclear features similar to those in the animal model in the mutation carriers. While the sample size is modest, the parallel hints that karyomegaly may be a cross-tissue marker of BRCA1-linked precancerous change.

The broader implications run in two directions. Clinically, the promise is that giant-nucleus cells, being easy to spot under the microscope, could function as early indicators of cancer—visible warnings in tissue that would otherwise be classified as merely damaged or inflamed. The TCGA survival data suggest that their gene-expression signatures might even stratify patients by risk once a tumor has formed. Scientifically, the study offers a concrete mechanism connecting an environmental exposome factor—iron-catalyzed oxidative stress—to a defined, transcriptionally characterized precancerous population, with ferroptosis resistance as the pivot. It also implies testable therapeutic hypotheses: if blocking mitochondrial remodeling or reversing ferroptosis resistance could prevent the persistence of the precancerous cells, early intervention might stop cancer before it starts. Toyokuni and his colleagues are careful to note that long-term studies will be needed to determine how giant-nucleus cells actually progress into tumor cells, whether such interventions can work, and whether nuclear shape combined with gene patterns can be validated as a diagnostic in larger patient cohorts. But the central message is already legible: some of the earliest chapters of cancer may be written in cells that have grown too large to be ignored.

Subject of Research: Animals

Article Title: Iron-catalyzed oxidative stress reveals an exposome-related ferroptosis-resistant karyomegalic niche in BRCA1-linked renal carcinogenesis.

Article References: Kong, Y., Shiraki, Y., Furuhashi, K., Maruyama, S., Imaoka, T., Enomoto, A., & Toyokuni, S. (2026). Iron-catalyzed oxidative stress reveals an exposome-related ferroptosis-resistant karyomegalic niche in BRCA1-linked renal carcinogenesis. Redox Biology, 95, Article 104293. https://doi.org/10.1016/j.redox.2026.104293

Image Credits: AI Generated

DOI: 10.1016/j.redox.2026.104293

Keywords: giant-nucleus cells, karyomegaly, ferroptosis, BRCA1, iron-catalyzed oxidative stress, spatial transcriptomics, renal carcinogenesis, mitochondrial remodeling, nuclear morphometry, precancerous cells, TCGA-KIRC, Nagoya University

Monterrey Amid Mountains

11 September 2026 at 05:01
The light-colored urban development of Monterrey, Mexico, fills most of the top half of the photo, and green parallel mountain ridges arc across the bottom of the frame.
August 26, 2026

The curving, parallel mountain ridges of the Sierra Madre Oriental are an eye-catching feature of northeastern Mexico’s landscape. The spot where these folds nestle up against Mexico’s second-largest metropolitan area captured the attention of an astronaut aboard the International Space Station, who took this photo on August 26, 2026.

Monterrey, the capital of the state of Nuevo León, is an industrial hub supporting heavy industries such as ironworks and steelworks, as well as manufacturing facilities for goods ranging from textiles to processed foods to glass and plastics. The metropolitan area is home to 5.3 million people, according to the 2020 census. And while the city has seen overall population growth since 1990, the number of people living within 5 kilometers (3 miles) of the city center has declined, researchers have found—a trajectory shared with many of Mexico’s metropolitan areas.

In Monterrey’s case, urban expansion runs up against some unforgiving terrain. Along the city’s southern edge, layers of limestone, deposited in the late Mesozoic era and then folded between about 80 and 50 million years ago, form the Sierra Madre Oriental. Over millions of years, weaker rock layers have eroded away, leaving behind the distinct ridgelines that bound Monterrey today.

The Río Santa Catarina carves through the mountains and onto the semiarid floodplain where the city lies. Because of the dry environment, the river carries little to no water for much of the time. But its channel is crucial for collecting runoff from summer rains and serves as an important natural area for plant and animal life within the city.

The river runs through Monterrey’s urban core and between several island-like protrusions of folded rock. One of these is the Sierra Las Mitras, a state nature reserve established in 2000. The mountain ridge rises approximately 1,500 meters (4,900 feet) over the city and provides a haven for wildlife. As conditions become cooler and wetter with higher elevations, vegetation turns from cacti and thorny shrubs on lower rocky slopes to oak and pine forests higher on the ridge. Cerro de la Silla (Mount Silla or Saddle Hill) is another prominent feature of the landscape, contrasting with the built environment.

Near the city’s border with the Sierra Madre Oriental sits Universidad de Monterrey, a host venue for the NASA Space Apps Challenge. This annual hackathon will take place in November 2026 in person and virtually at sites around the world. Participating teams use NASA and partner agency data to tackle challenges in fields such as software development, astrophysics, space exploration, and agriculture.

Astronaut photograph ISS075-E-70481 was acquired on August 26, 2026, with a Nikon Z9 digital camera using a focal length of 400 millimeters. It is provided by the ISS Crew Earth Observations Facility and the Earth Science and Remote Sensing Unit at NASA Johnson Space Center. The image was taken by a member of the Expedition 75 crew. The image has been cropped and enhanced to improve contrast, and lens artifacts have been removed. The International Space Station Program supports the laboratory as part of the ISS National Lab to help astronauts take pictures of Earth that will be of the greatest value to scientists and the public, and to make those images freely available on the internet. Additional images taken by astronauts and cosmonauts can be viewed at the NASA/JSC Gateway to Astronaut Photography of Earth. Story by Lindsey Doermann.

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The light-colored urban development of Monterrey, Mexico, fills most of the top half of the photo, and green parallel mountain ridges arc across the bottom of the frame.

August 26, 2026

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Python na análise de dados: ferramenta indispensável ou competência sobrevalorizada?

10 September 2026 at 19:22

Usando a sua experiência enquanto formadora de análise de dados, Beatriz Duarte defende os benefícios do Python e a combinação entre conhecimento técnico, pensamento analítico e aplicação prática.

The post Python na análise de dados: ferramenta indispensável ou competência sobrevalorizada? appeared first on Tek Notícias.

New EAMA highlights showcase 30-year cohort generation research findings

10 September 2026 at 13:53

Thirty years after a small group of European professors of geriatric medicine first warned that the continent’s fastest-growing population was being cared for by physicians who had never been formally trained to care for them, the program they created to fix the problem is marking its anniversary with a scientific milestone of its own. A new special article published in European Geriatric Medicine documents the research output of the most recent graduating cohort of the European Academy for Medicine of Ageing, or EAMA, and in doing so offers a rare longitudinal measure of how a structured, pan-European leadership program in geriatric medicine translates into scholarly productivity, professional advancement and, ultimately, better care for older people.

The new paper, titled “‘Highlights of latest EAMA’: generation research outputs of the 30-year anniversary cohort,” was authored by Thomas Münzer of the Geriatric Clinic St. Gallen in Switzerland, Hannes B. Stähelin of Basel, and Barbara van Munster of the University of Groningen Medical School in the Netherlands, writing on behalf of the EAMA Board. It arrives at a moment when the demographic arithmetic of Europe has made the question of geriatric capacity more urgent than ever: the proportion of people over 65 continues to climb, multimorbidity, frailty and polypharmacy have become the daily reality of hospital medicine, and health systems across the continent still struggle to recruit and retain physicians trained specifically in the medicine of ageing. The article’s premise is simple but rarely examined with this degree of rigor — if you invest systematically in the education of mid-career geriatricians, what do you get back?

To understand the significance of the anniversary cohort’s research output, one has to go back to the early 1990s, when the group of European Professors in Medical Gerontology published a stark assessment in the journal Age and Ageing. Writing in 1994, Stähelin and colleagues documented that medical gerontology was taught unevenly, and in many countries not at all, in European medical schools. Geriatric medicine, despite being one of the few specialties whose patient population was guaranteed to expand every single year, was frequently a subordinate unit within internal medicine, staffed by physicians who had acquired their expertise on the job rather than through dedicated training. The professors’ conclusion was that Europe needed not merely more geriatricians but a new cadre of academic leaders — clinicians who could teach, publish, shape curricula and advocate for the specialty within their national health systems.

That diagnosis led, in 1995, to the founding of the European Academy for Medicine of Ageing, an intensive postgraduate program deliberately modeled on leadership academies rather than conventional continuing medical education. EAMA’s structure has remained remarkably stable across its three decades: a small, competitively selected cohort of physicians, typically already experienced clinicians, is brought together for a series of residential courses spread over roughly two years, interspersed with mentored projects that require participants to produce original scholarly work. The curriculum spans the full breadth of the medicine of ageing — from the biology of ageing and the physiology of frailty, through geriatric syndromes such as falls, delirium, incontinence and sarcopenia, to the organizational science of acute geriatric units, nursing home medicine, rehabilitation and end-of-life care. Crucially, faculty are drawn from across Europe, exposing participants to radically different national models of geriatric care and building a professional network that persists long after the formal courses end.

The “reloaded” reform of the program, described in a 2018 paper by Roller-Wirnsberger and colleagues in European Geriatric Medicine, formalized what three decades of experience had taught the academy’s faculty. That paper set out explicit competencies and standards for a European leadership program in geriatric medicine, defining what a graduate of EAMA should be able to do: not just diagnose and treat, but design services, lead multidisciplinary teams, mentor juniors, conduct and critique research, and represent the specialty at institutional and governmental levels. The competency framework aligned the academy with modern medical-education theory, in which learning objectives are specified in advance and assessed rather than assumed. It is against this framework that the anniversary cohort’s performance, as documented in the new article, can be read as an evaluation of the program itself.

The central finding of the new special article is that the latest cohort of EAMA graduates has generated a substantial body of research output — the “generation research outputs” of the title — spanning peer-reviewed publications, presentations and ongoing projects in geriatric medicine. Each participant in the program is expected to develop a scholarly project under faculty mentorship, moving from a research question through protocol design, data collection and analysis to presentation and, ideally, publication. For the 30-year anniversary cohort, the academy compiled and highlighted these outputs, creating what the authors describe as the “Highlights of latest EAMA” — a curated snapshot of what a single generation of emerging European geriatric leaders produced during and immediately after their training.

Why does this matter beyond the individual careers involved? The technical answer lies in how research capacity compounds. A single published paper changes one evidence base marginally; a cohort of trained researchers who continue publishing changes the trajectory of an entire specialty. Geriatric medicine has historically been under-represented in high-impact clinical research relative to the burden of disease it manages. Conditions such as delirium, frailty and multimorbidity were for decades excluded from major trials or treated as confounders rather than outcomes, precisely because the specialty lacked enough investigator-trained clinicians to insist on their inclusion. Programs like EAMA attack that bottleneck at its root: every graduate who learns to design a study, secure a mentor and navigate the publication pipeline becomes a node through which clinical questions from the bedside can flow into the literature and back.

The pedagogical machinery behind that outcome is worth examining, because it explains why the anniversary cohort’s productivity is treated by the authors as more than a curiosity. EAMA’s residential courses are built around case-based, small-group learning in which participants bring real clinical and organizational problems from their home institutions and work them through with international faculty. The mentored projects between courses impose deadlines and accountability — the two ingredients that, as anyone who has supervised doctoral students knows, most reliably convert good intentions into submitted manuscripts. The academy also functions as a peer-review incubator: draft papers are critiqued by senior European geriatricians before submission, giving participants exposure to the standards of international journals at a stage of their careers when feedback is most formative.

The anniversary article also carries a personal and institutional poignancy. Hannes B. Stähelin, one of the co-authors, is identified in the publication as deceased; he was among the founding professors whose 1994 analysis launched the academy, and his presence on the author line of a paper published in 2026 spans the full thirty-year arc of the program. The continuity from the GEPMG position paper through the 2002 retrospective review of the academy’s first years, published in Gerontology, through the 2018 competency framework, and now to this documentation of cohort research output, constitutes something rare in medical education: a thirty-year, multi-generation audit trail of a single intervention in specialty training, documented by the people who built it.

For health systems, the implications are concrete. Europe’s national models of geriatric care differ enormously — from the fully established departments of the United Kingdom and the Netherlands to countries where geriatrics is still fighting for recognition as an independent specialty. EAMA’s cohorts deliberately mix these national traditions, so that a geriatrician from a country without an acute geriatric unit model trains alongside colleagues who run such units daily. The research outputs of the anniversary cohort, the authors suggest, function as a form of technology transfer: projects conceived in one system are published in international journals and become adaptable blueprints for colleagues elsewhere. In an era when the European Union explicitly tracks health-workforce capacity, an academy that reliably produces clinicians who can lead services and generate evidence is a strategic asset, not a professional courtesy.

The article is also, implicitly, an argument about how educational interventions should be evaluated. Medical education research is notoriously dominated by satisfaction surveys and self-reported confidence measures, which correlate weakly with actual performance change. Research output — publications generated, projects completed, academic positions attained — is a harder, more objective endpoint, and the EAMA Board’s decision to compile and publish the anniversary cohort’s outputs signals a commitment to accountability by measurable results. It is a methodology other postgraduate leadership programs in medicine, from palliative care to rural health, could plausibly adopt: define the competencies, train against them, and then report what the trainees actually produced.

The publication timeline of the article itself — received in December 2025, revised in April 2026, accepted in June and published on 6 July 2026 in European Geriatric Medicine, the journal of the European Geriatric Medicine Society — places it squarely in the anniversary year it commemorates. As Europe’s population ages at a pace with no historical precedent, the question the founding professors asked in 1994 — who will teach the teachers, and who will lead the specialty? — has an answer that can now be pointed to in print: thirty years of EAMA cohorts, and a newest generation whose scholarly work is documented, highlighted and, the academy clearly hopes, replicated by the cohorts to come.

Subject of Research: Research outputs and scholarly productivity of the 30-year anniversary cohort of the European Academy for Medicine of Ageing (EAMA), a pan-European postgraduate leadership program in geriatric medicine

Article Title: “Highlights of latest EAMA”: generation research outputs of the 30-year anniversary cohort

Article References: Münzer, T., Stähelin, H. B., van Munster, B., & the European Academy for Medicine of Ageing (EAMA) Board (2026). “Highlights of latest EAMA”: generation research outputs of the 30-year anniversary cohort. European Geriatric Medicine. https://doi.org/10.1007/s41999-026-01536-5

Image Credits: AI Generated

DOI: 10.1007/s41999-026-01536-5

Keywords: European Academy for Medicine of Ageing, EAMA, geriatric medicine, medical education, research output, leadership program, ageing, Europe, geriatric care, anniversary cohort, lifelong learning

DCLK1 drives fibroblast activation and lung fibrosis via Smad3 binding

10 September 2026 at 13:41

Idiopathic pulmonary fibrosis, a relentlessly progressive and fatal scarring disease of the lungs, has long frustrated clinicians with only two approved drugs that slow but cannot reverse its course. Now, a team of researchers in Taiwan has identified a surprising new player in the disease’s destructive machinery: doublecortin-like kinase 1, or DCLK1, a kinase better known for its role in cancer stem cells. Their study, published in the Journal of Biomedical Science, demonstrates that DCLK1 drives fibroblast activation in the lung and that blocking it—either genetically or with an oral inhibitor—slows fibrosis and preserves lung function in mice. The findings position DCLK1 as a promising therapeutic target in one of medicine’s most stubborn diseases.

The research, led by Lee-Yuan Lin, Wun-Hao Cheng, Chien-Huang Lin and Bing-Chang Chen of Taipei Medical University, together with collaborators at National Taiwan University Hospital and Universitas Gadjah Mada, began with a question that has lingered in the literature. Gene expression analyses had previously hinted that DCLK1 might be implicated in IPF, and earlier work reported that the kinase is markedly enhanced in the alveolar epithelial cells of patients with pulmonary fibrosis and in mice with bleomycin-induced fibrosis. But its function in fibroblast activation—the cellular engine of fibrosis—had remained unexplained.

To begin untangling that role, the team mined a publicly available single-cell RNA sequencing data set containing more than 312,000 cells from healthy lungs, IPF lungs, and lungs with chronic obstructive pulmonary disease. After stringent quality control filtering, they focused on roughly 240,000 cells from the control and IPF groups and mapped DCLK1 expression across the major lung cell lineages: epithelial, endothelial, lymphoid, myeloid, and stromal cells. The signal was unmistakable. DCLK1 was expressed across many cell populations, but the highest expression appeared in the stromal compartment, particularly in myofibroblasts—the specialized, contractile fibroblasts that churn out the extracellular matrix and stiffen lung tissue in IPF.

Human tissue told the same story. The researchers examined lung samples from eleven patients with IPF, obtained during lung transplantation or surgery, alongside fourteen nonfibrotic control samples. Histological staining with hematoxylin and eosin and Masson trichrome confirmed the expected picture of interstitial consolidation and collagen deposition in the IPF specimens. More importantly, immunohistochemistry revealed that both total DCLK1 and its phosphorylated, activated form were significantly upregulated in the fibrotic lung interstitium compared with control tissue. DCLK1, in other words, was not merely present in scarred lungs—it was switched on.

DCLK1 is an intriguing molecule to find at the center of a fibrotic process. It is a serine/threonine kinase belonging to the calcium/calmodulin-dependent kinase family, distinguished by two microtubule-binding domains. In oncology, DCLK1 overexpression has been documented in colorectal, pancreatic, gastric, renal, and hepatocellular carcinomas, where it correlates with poor prognosis, high recurrence, and metastasis, promoting tumor initiation and the epithelial–mesenchymal transition in cancer stem cells. It has also been linked to inflammatory signaling in SARS-CoV-2 infection, where inhibiting it blocks proinflammatory caspase-1/interleukin-1β signaling. The new study extends this portfolio of mischief to the fibrotic lung.

To test causality rather than mere correlation, the researchers turned to mice. They crossed animals carrying loxP sites flanking exon 3 of the DCLK1 locus with Pgk1-RFP-Cre/ERT2 transgenic mice, generating a system in which tamoxifen administration triggers global deletion of the Dclk1 gene. When these DCLK1 knockout mice and littermate controls were given intratracheal bleomycin, a chemotherapy drug used to induce pulmonary fibrosis in laboratory animals, the difference was striking. Knockout mice showed far less lung infiltration and collagen deposition, reduced numbers of cells staining positive for DCLK1 together with fibroblast surface protein and alpha-smooth muscle actin, and significantly lower levels of the profibrotic proteins fibronectin, α-SMA, and connective tissue growth factor, or CTGF.

The protective effect extended well beyond molecular markers. Using the FlexiVent FX system to measure lung mechanics, the team found that bleomycin treatment significantly reduced respiratory system compliance and pressure–volume performance and increased the normalized work of breathing in control mice—hallmarks of a stiffening, fibrotic lung. In the DCLK1 knockout animals, these functional deficits were substantially attenuated. In vivo microcomputed tomography, acquired at 34.75-micrometer voxel resolution, painted the morphological counterpart: bleomycin caused parenchymal destruction and volume loss in control lungs, while knockout mice retained lung structure and volume. Density histograms shifted toward fibrotic tissue in wild-type animals but stayed largely preserved in the knockouts, and peripheral blood neutrophil percentages, which climbed after bleomycin injury, were significantly reduced in the knockout group.

With the in vivo evidence established, the investigators dissected the molecular wiring in cultured normal human lung fibroblasts. Transforming growth factor beta, the master profibrotic cytokine, induced DCLK1 phosphorylation within 30 minutes and DCLK1 expression within 8 hours. Chromatin immunoprecipitation assays showed that after TGF-β stimulation, both Smad3—the canonical transcriptional mediator of TGF-β signaling—and the nuclear factor kappa B subunit p65 enriched at the DCLK1 promoter, indicating that TGF-β switches on DCLK1 through both Smad-dependent and noncanonical NF-κB pathways. Silencing DCLK1 with small interfering RNA then blunted the fibroblast’s profibrotic response, reducing TGF-β-induced expression of fibronectin, collagen 1A1, α-SMA, and CTGF.

The pathway, however, does not stop there. The team found that TGF-β also phosphorylated Akt, and that transfecting fibroblasts with a dominant-negative Akt construct reduced TGF-β-induced DCLK1 phosphorylation and the expression of fibronectin and CTGF—placing Akt upstream of DCLK1. Downstream, DCLK1 knockdown reduced Smad3 phosphorylation while DCLK1 overexpression enhanced it. Coimmunoprecipitation revealed a physical association between DCLK1 and Smad3, and immunofluorescence microscopy showed the two proteins colocalizing in the nucleus within 30 minutes of TGF-β treatment. A ChIP assay using a DCLK1 antibody pulled down DNA from the Smad3-binding region of the CTGF promoter, and pretreatment with the selective DCLK1 inhibitor DCLK1-IN-1 reduced TGF-β-induced CTGF expression. Together, the results sketch an Akt/DCLK1/Smad3 axis through which TGF-β drives the production of connective tissue growth factor, a potent profibrotic mediator.

The clinical payoff came in the pharmacological arm of the study. Mice receiving oral DCLK1-IN-1 at 10 milligrams per kilogram daily, beginning on day 7 after bleomycin instillation and continuing until day 28, showed visibly reduced fibrotic progression on histology, lower expression of fibronectin, α-SMA, and CTGF in lung tissue and lysates, preserved pulmonary compliance, improved pressure–volume loops, and reduced work of breathing. Serial microCT scans on days 7, 17, and 27 documented less severe fibrotic remodeling in the treated animals, with lung attenuation histograms showing a smaller fraction of dense, nonaerated voxels. Blood neutrophil counts were also lower. In short, a pill-like oral inhibitor measurably slowed the disease in a model that mirrors the human condition.

The implications are significant because the current therapeutic landscape for IPF is so thin. Only nintedanib, a tyrosine kinase inhibitor targeting growth factor receptors, and pirfenidone, which suppresses TGF-β production and activity, are approved by the US Food and Drug Administration, and both merely slow progression. The recent failure of pamrevlumab, a monoclonal antibody against CTGF, in the phase 3 ZEPHYRUS-1 trial suggested that targeting downstream fibrotic end products alone may be insufficient—pointing to the value of upstream signaling regulators such as DCLK1. Adding to the appeal, a DCLK1 inhibitor has already been shown to prevent inflammatory responses in acute lung injury, hinting at dual anti-fibrotic and anti-inflammatory potential.

The authors are careful to note limitations. DCLK1 is expressed across multiple lung cell types, and the tamoxifen-inducible knockout used here was global rather than cell-type-specific, so the contributions of fibroblasts versus epithelial, endothelial, and immune cells could not be fully separated. Human control tissue, as in most fibrosis studies, came from heterogeneous sources, including tumor-adjacent lung. The precise subcellular mechanics of the DCLK1–Smad3 interaction, whether DCLK1 inhibition can promote fibrosis resolution rather than merely slow progression, and the systemic safety of long-term DCLK1 blockade—all relevant given the kinase’s role in cancer and other processes—remain open questions.

Even so, the convergence of evidence is striking: DCLK1 is upregulated in human IPF, amplified in experimental fibrosis, mechanistically coupled to the TGF-β–Smad3 engine of fibroblast activation, and its suppression by both genetics and a small molecule preserves lung structure and function. What began as a cancer stem cell marker has now emerged, unexpectedly, as a central node in the scarring of the lung—offering fresh hope that a disease long considered irreversible may one day be stopped at its molecular source.

Subject of Research: Medicine

Article Title: DCLK1 drives fibroblast activation and lung fibrosis via Smad3 binding

Article References: Lin, L.-Y., Cheng, W.-H., Wu, Y.-C., Wen, H.-C., Hsu, H.-H., Liu, C.-H., Chen, J.-Y., Chang, W.-S., Wu, Y.-J., Wu, J.-S., Yuliani, F. S., Wang, C.-Y., Lin, C.-H., & Chen, B.-C. (2026). Doublecortin-like kinase 1 promotes fibroblast activation and fibrotic progression through Smad3 binding in idiopathic pulmonary fibrosis. Journal of Biomedical Science, 33(1), Article 52. https://doi.org/10.1186/s12929-026-01258-7

Image Credits: AI Generated

DOI: 10.1186/s12929-026-01258-7

Keywords: DCLK1 and cancer stem cell pathways in fibrosis, DCLK1 kinase in lung disease, fibroblast activation mechanisms in IPF, fibroblast-driven lung scarring, genetic suppression of DCLK1 in fibrosis models, lung fibroblast activation, lung fibrosis progression and molecular drivers, oral DCLK1 inhibitors for pulmonary fibrosis, pulmonary fibrosis, role of DCLK1 in lung tissue remodeling, Smad3 signaling pathway in fibrosis, therapeutic targeting of DCLK1

Why enterprises should start with on-site AI agents

10 September 2026 at 11:00

When I talk to people about agents interacting with websites, the conversation almost always starts with perception: how does an agent “see” a page? Is it screenshots or the DOM or the accessibility tree? In my previous InfoWorld article, “Accessibility is the first-class interface for AI agents”, I argued that the accessibility tree is becoming an increasingly important interface between websites and AI agents. From there the conversation shifts to actuation, and to ways of making it less brittle, which let a site expose its own actions as callable tools instead of forcing an agent to guess at buttons and forms.

That conversation matters. But it leaves out a more consequential architectural question, one that determines who is accountable when an agent gets something wrong: where does the agent live?

There are three plausible homes for an agent that interacts with your business: on-site, in-browser and off-browser. Each one trades control for reach differently. Right now, much of the industry’s attention is focused on the two homes furthest from the business: browser extensions that co-browse alongside a user, and autonomous agents running in the cloud that talk to your APIs or drive a browser on their own.

I think that is the wrong place for most enterprises to start.

If you run a business with real compliance exposure, or a brand you cannot afford to have misrepresented, the pragmatic move is to build the agent that lives on your own site first and treat reach as a problem you solve later, on your own terms.

Reach without governance is a liability

The appeal of in-browser and off-browser agents is obvious. They promise discovery, scale and automation you do not have to build or maintain yourself. An off-browser agent can compare your prices against every competitor and keep working after your support team has gone home. A co-browsing extension can act inside a user’s already authenticated session without requiring any special integration on your side.

But an agent you do not control is still speaking for your business.

An off-browser agent talking to your APIs or scraping your DOM runs on a model you did not choose, follows guardrails you did not write and represents your brand in a conversation you cannot see. If it misquotes a price, misstates a policy or initiates a transaction that creates a customer dispute, the fact that the agent belonged to somebody else may not make the resulting problem disappear.

There is also a deeper security problem. Computer-use agents interact with untrusted content by design. Anthropic’s guidance for browser and computer-use agents notes that webpages and application interfaces can contain adversarial instructions and recommends scoped permissions, human confirmation for high-stakes actions, and monitoring of agent behavior. OWASP’s AI Agent Security Cheat Sheet goes further, identifying agent-specific risks including prompt injection, tool abuse and privilege escalation, data exfiltration and memory poisoning.

In-browser agents are a better deal, because a human is watching the same screen and can catch a mistake before it lands. But the model, the tone and the decision logic are still outside your hands. For  or any other regulated industry, that is not a risk to take lightly just to pursue reach you have not yet learned how to govern.

What you actually gain by building at home

An on-site agent is less glamorous than the idea of your product being discovered by roaming agents across the open web. But it is the only home where the business keeps full governance.

You choose the model. You define the guardrails. You decide the tone, the escalation paths and exactly what the agent is and is not allowed to promise a customer. Because the agent has direct access to your systems, it does not need to reverse-engineer your checkout flow as an outside agent would. It can be given your actual domain knowledge and your actual APIs.

That matters because enterprises have solved this problem before. They did not expose databases directly to the internet; they introduced APIs. APIs were not just about integration. They created contracts, authentication, auditing and policy enforcement. On-site agents represent a similar evolution. Rather than forcing an external agent to infer behavior from a user interface, a business can expose governed capabilities through tools with explicit contracts.

WebMCP is a promising step in that direction. It makes it easier for a site to publish actions an agent can invoke, instead of forcing the agent to guess at the page. The important shift is not that the agent can click a button. It is that every action becomes observable, policy-governed and replayable.

The Chrome team’s WebMCP Sports demo is a good preview of what this can look like done well: an on-site assistant calling the site’s own WebMCP tools, with every call visible in the chat log. That is not a black box you are hoping behaves. It is an auditable interaction, with named tools and defined contracts.

The three homes

The cleanest way to think about this is as a spectrum.

  • On-site. The agent lives on your website. You ship it. You own the model, the tools, the tone, the policies and the telemetry. It has first-party access to your systems and your workflows. The trade-off is reach: it is coupled to your site, and it is not meant to carry the user’s journey across the web.
  • In-browser. The agent lives inside the user’s browser session, usually as a co-browsing extension or a browser-integrated assistant. It benefits from the user’s logged-in state and can act with the user present. That gives it real reach and a strong human safety net. But the business does not control the model or the guardrails, and the agent can still misrepresent the brand.
  • Off-browser. The agent runs elsewhere — in the cloud, on a server or on a user’s local machine and reaches your business by talking to APIs or driving a browser remotely. This is the widest-reach model, but also the least governed from the business’s point of view. It may compare competitors, cross workflows and act at scale, but you do not control the experience.

None of these homes is inherently bad. They solve different problems. But if your first priority is governance, accountability and brand integrity, on-site is the right starting point.

Start with the governed interface

For teams deciding where to put their first investment, three moves make the difference between a real interface and a chatbot glued to a homepage.

First, ship the on-site agent as the authoritative interface, not a fallback. It should have first-class access to your own APIs and domain knowledge — the same systems your support team and checkout flow already use — rather than being handed a scraped version of your own page.

Second, instrument every tool call it makes. If your agent calls a WebMCP tool to check inventory or apply a discount, log it the way you would log an API call from any other client. That log is your audit trail, your debugging tool and eventually your evidence when a regulator or customer asks what happened.

Third, design for human escalation from day one. Even a well-governed agent should not make every decision autonomously. Build explicit handoff paths to human operators for ambiguous or high-risk situations.

Taken together, those choices turn an on-site agent into a governed interface rather than a novelty feature. That distinction matters. The first is something an enterprise can safely operate; the second is something it will eventually have to defend.

When agents start talking to agents

There is another reason to build the on-site agent first: the three homes are unlikely to remain isolated.

Imagine that a user’s browser agent arrives at an airline website. It already knows the traveler’s preferences, calendar constraints, loyalty programs and perhaps their budget. The airline’s on-site agent knows something completely different: routes, seat availability, fare rules, upgrade eligibility and the airline’s operational policies.

Why should the visiting agent reverse-engineer all of that from a website?

A more natural architecture may be for the two agents to communicate.

This is no longer purely hypothetical. The Agent2Agent (A2A) protocol is explicitly designed to allow independent agents built by different vendors and frameworks to discover capabilities, exchange information, delegate work and coordinate tasks.

In that world, the user’s agent brings intent and user context. The site’s agent brings domain knowledge and governed execution.

And suddenly the on-site agent’s limited reach does not look quite so limiting. It does not need to travel across the web if other agents can come to it.

The incentive problem nobody is pricing in yet

There is a harder question underneath the technical one: who does the on-site agent actually work for?

A visiting agent, co-browsing or otherwise, is acting on the user’s behalf. An on-site agent, however well-built, is the business’s employee. And the moment the two negotiate a discount, an upgrade or a substitution, that exchange stops looking like a neutral handoff and starts looking like a sales conversation with an AI on each side of the table.

That tension is going to matter.

Businesses building on-site agents now should design their guardrails with that scrutiny in mind, rather than treating “the agent decided” as a shield. Control is worth having. It is also a responsibility. And building the agent that answers to you is the only way to exercise it.

The first agent should be the one you can govern

The history of enterprise software suggests a familiar pattern. Organizations adopt new interaction models by first bringing them under their own governance. Internal systems become APIs. APIs become platforms. Platforms become ecosystems.

AI agents will likely follow the same path.

That is why I think the first agent your business builds should not be the one that can reach the entire web. It should be the one whose behavior you can understand, measure and improve. Once that foundation exists, expanding outward becomes an architectural choice instead of a leap of faith.

Reach is tempting. But for regulated and brand-sensitive businesses, control has to come first.

Build your AI stack like you will need to replace it

10 September 2026 at 10:00

Every AI feature you’re building is based on a price that isn’t real. Current AI services are heavily subsidized as model providers seek to expand their market share, and subsidies inevitably end. Just think back to the early days of Lyft and Uber, when a single ride often cost less than taking public transit. As the costs associated with building on cheap AI infrastructure slowly start to reflect reality, the architecture decisions you made to get to market quickly may be the ones hemming you in.

This isn’t unique to AI. IT leaders have always had to weigh speed-to-value against the cost of dependency. What’s different now is how fast those dependencies are being built, and how little visibility most teams have into them.

Across IT, scalability is contingent on portability. And architecting with portability in mind is the best way to minimize lock-in as AI pricing models evolve, giving you leverage in future contract negotiations, and a fighting chance of switching platforms if the costs of one vendor get too high.

The challenge is that AI providers are incentivized to make leaving as painful as possible, which they achieve through deep integrations and proprietary features. You can control some of this through architectural decisions. Other parts are structural dependencies you should at least be aware of going in.

Swapping platforms will never be painless, but it’s less painful than being locked in when your vendor decides it’s time to recoup its losses, as every AI provider eventually will.

The part you control

The foundation for portability is the abstraction layer, an internal service your applications call instead of hitting Claude, GPT, or Gemini directly. It uses a request format defined by you, and translates that to whatever the vendor behind it expects. If you need to change vendors later, it’s closer to a configuration change than a code rewrite.

You don’t need to build this from scratch; open-source gateways like LiteLLM or Portkey already handle the routing and interface. Scoped to what you actually need, it’s a small project that one or two engineers can complete in a few weeks.

From there, audit the parts of your codebase that call a vendor’s API directly and route them through your proxy layer one at a time (have fun with that). Skip the features you’re not using yet, like fine-tuning or batch APIs, and focus on the 80% case. Think: text in, text out, and maybe tool calls.

The parts you don’t control

The API call is the easy part to abstract. Other dependencies may be tougher to account for given the pressure to deploy quickly, but you should at least be aware of them.

Prompts get tuned to a specific model’s characteristics, and those instructions won’t necessarily make sense to another model. If you do switch vendors, expect to re-tune each prompt. Fine-tuning a model will box you in, unless you use an open-weight model that you operate internally.

Vectors generated by one provider’s model won’t be compatible with another’s, so switching means re-embedding your knowledge base. Tool calling and structured output conventions differ by vendor, so code written around one model’s schema will need rewriting for another. Caching and batching mechanics carry their own vendor-specific rules and cost implications that don’t map across providers.

In short, code portability is cheap. Behavioral portability is the real cost, and no gateway tool solves that for you.

Build with your eyes open

Most teams don’t realize how locked into a model they’re becoming until they’re forced to move, which is the worst time to find out. How many parts of your codebase import a vendor SDK directly, versus calling a shared internal function?

If you want a real answer instead of a guess, pick one workflow that isn’t business-critical and try porting it to a different vendor. See what breaks and how long it takes to fix. That will uncover your dependencies better than a checklist.

The bottom line is that you should treat AI providers like any other infrastructure vendor where concentration risk matters. Hold AI providers to the same standard you would apply to any IT or technology vendor. There will likely always be some level of dependency, but you should know where the hooks are and choose them deliberately. That way, you’re prepared when AI price hikes inevitably arrive.

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New Tech Forum provides a venue for technology leaders—including vendors and other outside contributors—to explore and discuss emerging enterprise technology in unprecedented depth and breadth. The selection is subjective, based on our pick of the technologies we believe to be important and of greatest interest to InfoWorld readers. InfoWorld does not accept marketing collateral for publication and reserves the right to edit all contributed content. Send all inquiries to doug_dineley@foundryco.com.

Your frontend observability has an accessibility blind spot

10 September 2026 at 10:00

Frontend teams have become pretty good at monitoring what happens after an application reaches production. We track JavaScript errors, API failures, latency and Core Web Vitals. When something changes after a release, these signals help us determine whether the application is healthy.

But there is one gap I think frontend teams often overlook. An application can look completely healthy in those dashboards while an important workflow is unusable for someone navigating with a keyboard or assistive technology.

Imagine a checkout flow where a recent UI change makes the final button unreachable by keyboard. The page still loads. The API responds successfully. There are no new JavaScript exceptions, and performance metrics look normal. Every traditional signal says the application is working, yet some users can no longer complete the purchase.

That is why I have started thinking about accessibility as more than a compliance or pre-release testing concern. If an accessibility regression prevents someone from completing a critical workflow, that is also a production reliability problem.

Where traditional frontend observability falls short

Most frontend observability focuses on technical health. We want to know whether pages load quickly, requests succeed and deployments introduce errors. These are useful signals, but they mainly tell us whether the software is functioning as the system expects.

Accessibility failures are different because they often do not produce obvious technical errors. Removing an accessible name from an icon button will not necessarily throw a JavaScript exception. Replacing a semantic button with a clickable div might leave mouse interaction working normally. A focus-management regression inside a modal can make the interface extremely difficult to navigate while having no effect on page performance.

This creates a blind spot. Our monitoring can tell us that the button rendered and that clicking it successfully triggered an API request. It may not tell us that a keyboard user cannot reach that same button.

Automated accessibility checks in CI are an important first line of defense, and I use them as an early guardrail. But I would not treat a passing CI check as proof that the production experience is accessible. Production applications contain changing data, feature flags, third-party scripts and combinations of components that may not be represented in isolated tests.

Automated tools also have limits. They can identify many structural problems, but they cannot detect every accessibility or WCAG conformance failure. CI should therefore be an important checkpoint, not the end of accessibility verification.

Monitor accessible journeys, not just healthy pages

One way I think frontend teams can close this gap is by applying the same idea behind synthetic monitoring to accessibility.

Instead of checking only whether a page loads, we can test whether important user journeys remain usable. Can someone navigate the primary controls using only a keyboard? When a dialog opens, does focus move somewhere sensible? Can a form be completed without relying on a mouse? Do important controls still expose useful names and roles?

Consider the checkout example again. Traditional synthetic monitoring might verify that the page loads, products appear and the checkout API responds. An accessibility-aware journey could go further by navigating through the same flow with keyboard interactions and verifying that focus reaches the controls required to complete the purchase.

I would not try to automate every accessibility requirement this way. The goal is to identify a small number of critical workflows and ask a simple question: Can a user still complete the task?

For applications with a design system, I would extend the same thinking to shared components. A regression in a button, dialog, form field or navigation component can spread across many screens at once. Testing keyboard behavior, semantics, accessible names and focus expectations at the component level can catch problems closer to their source instead of discovering the same regression page by page.

This creates two useful layers of protection. Design-system checks help protect the building blocks, while synthetic journeys help verify that those building blocks still work together in real application flows.

Make accessibility part of release health

Frontend teams already look at signals after deployment to decide whether a release is healthy. We watch error rates, latency, failed requests and performance changes. I think accessibility signals can become part of that same conversation.

That does not mean creating another huge dashboard or turning every automated accessibility warning into a production incident. The useful approach is to focus on impact.

If a release introduces a minor issue in secondary content, the team may address it through the normal development process. If the same release prevents keyboard users from completing checkout, submitting a form or navigating a primary workflow, that deserves a different level of attention.

This is where accessibility-aware release health becomes valuable. Teams can define a small set of expectations around critical journeys and shared components, then watch for regressions just as they would watch other frontend reliability signals.

The need for this approach is becoming harder to ignore. The 2026 WebAIM Million analysis found an average of 56.1 detected accessibility errors per home page, a 10.1% increase from 2025. It also found that the average home page contained 1,437 elements, a 22.5% increase in a single year. As interfaces become larger and more dynamic, relying only on occasional accessibility audits becomes increasingly difficult to scale.

If users can’t complete the workflow, the system isn’t healthy

Frontend observability has given us increasingly sophisticated ways to understand what applications are doing in production. But our definition of application health should not stop at whether JavaScript executed, APIs responded or pages rendered quickly.

A system can pass every one of those checks and still fail the person trying to use it.

Accessibility testing during development remains essential, but production-oriented signals can help close the gap. Synthetic user journeys can tell us whether critical interactions still work. Design-system regression tests can protect shared components. Accessibility-aware release checks can help teams recognize when a deployment has affected a critical workflow.

For me, the principle is simple. If users cannot complete an important task because of an accessibility regression, I do not think we should describe the application as healthy just because the traditional dashboards are green.

That is not only an accessibility problem. It is a frontend reliability failure.

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