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Medical School Researcher Secures $2.2 Million NIH Grant to Investigate Causes and Treatments of Retinal Diseases

16 June 2026 at 21:32

In a groundbreaking advancement for ocular science, a multidisciplinary research team from the University of Minnesota Medical School has embarked on a four-year investigative journey funded by a substantial $2.2 million grant from the National Eye Institute. This highly anticipated project aims to elucidate the intricate molecular foundations of retinal diseases, particularly focusing on age-related macular degeneration (AMD) and the uncommon but debilitating Doyne honeycomb retinal dystrophy, also known as Malattia Leventinese (DHRD/ML). By leveraging cutting-edge approaches in molecular biology and ophthalmologic research, the team aspires to pioneer transformative therapies that address the multifaceted challenges posed by these degenerative eye conditions.

Central to this research initiative is the exploration of extracellular matrix proteins, a class of biomolecules that form the structural and functional scaffolding outside cells. Of particular interest within this complex microenvironment is fibulin-3, an extracellular matrix glycoprotein implicated in maintaining the integrity and homeostasis of retinal tissues. Mutations and alterations in the fibroblast-derived fibulin-3 have been identified as key contributors to the pathogenesis of various blinding disorders, positioning this protein at the forefront of retinal disease research. Understanding fibulin-3’s biological role and its dysregulation promises to unlock novel therapeutic avenues for preventing vision loss.

Professor John Hulleman, PhD, an esteemed ophthalmology and visual neurosciences researcher at the University of Minnesota Medical School, emphasizes the significance of this endeavor. He remarks that the project not only intensifies the focus on fibulin-3’s molecular dynamics but also strives to develop sophisticated tools to dissect its functional interactions within the retinal extracellular matrix. This approach underscores a shift towards targeting the extracellular matrix environment itself, rather than solely focusing on intra-cellular pathways, thus broadening the horizon for innovative treatment modalities.

Age-related macular degeneration, a leading cause of irreversible vision loss among the elderly, is characterized by progressive degeneration of the macula, the central region of the retina responsible for sharp, central vision. Current therapies, while somewhat effective in managing symptoms, often fail to halt or reverse the underlying pathology. The research spearheaded by the University of Minnesota seeks to transcend these limitations by identifying molecular targets within the extracellular matrix that mediate AMD progression, which could lead to breakthrough treatments with enhanced efficacy.

Alongside AMD, the project addresses Doyne honeycomb retinal dystrophy, a rare congenital disorder exhibiting clinical and pathological overlap with AMD. DHRD/ML is marked by the deposition of abnormal extracellular materials within the retina, leading to impaired photoreceptor function and progressive vision deterioration. Dissecting the mechanistic pathways governing extracellular matrix remodeling in DHRD/ML through the lens of fibulin-3 aberrations provides a unique opportunity to develop targeted interventions that can ameliorate or even prevent the disease’s progression.

The research team will undertake a comprehensive pharmacological screening of existing FDA-approved drugs with the objective of repurposing them to mitigate AMD symptoms. This strategy leverages the pharmacokinetic profiles and safety data of known medications, potentially accelerating the timeline for clinical application. Simultaneously, the investigation will delve into the biological mechanisms regulating the synthesis, assembly, and degradation of retinal extracellular matrix proteins, aiming to delineate the homeostatic balances integral to healthy retinal function.

A significant aspect of the study involves characterizing the cellular pathways that control fibulin-3 expression and turnover, which are pivotal in maintaining extracellular matrix stability. Disruptions in these processes can lead to pathological accumulation or deficiency of critical matrix components, contributing to disease pathology. By elucidating these control mechanisms, the team aims to identify molecular checkpoints amenable to therapeutic modulation.

To facilitate these objectives, the researchers employ an array of sophisticated methodologies, including advanced imaging techniques, proteomic analyses, and in vitro cellular models that recapitulate retinal architecture and extracellular matrix interactions. These technologies enable high-resolution tracking of protein dynamics and intercellular communication in both normal and diseased states, generating critical insights into retinal degeneration.

Moreover, the initiative recognizes the intricate interplay between genetic predispositions and environmental factors in retinal disease etiology. Investigations into how fibulin-3 mutations influence extracellular matrix composition under various physiological conditions will enhance understanding of disease variability and patient-specific responses. This knowledge is essential for the future development of personalized medicine approaches tailored to individual molecular profiles.

The translational potential of this project is fortified by its dual approach, combining fundamental scientific inquiry with a pragmatic search for viable therapeutics. The anticipated outcomes include the generation of novel diagnostic biomarkers and the formulation of innovative treatment protocols that could significantly improve patients’ quality of life. This work exemplifies the integration of biomedical research with clinical imperatives, embodying a future where vision preservation is attainable.

Currently active under grant number 2R01EY027785-07A1, this endeavor not only epitomizes the University of Minnesota Medical School’s commitment to scientific excellence but also signifies a beacon of hope for millions affected by retinal degenerative diseases worldwide. Through rigorous investigation and cutting-edge technology, the research team is poised to reshape the landscape of vision science and ocular therapeutics.

As the study progresses, continuous updates and detailed findings are expected to stimulate further scientific inquiry and collaborative efforts across the biomedical community. The potential to bridge gaps between molecular understanding and clinical innovation positions this project as a landmark in the quest to combat retinal blindness.

Subject of Research: Molecular mechanisms and therapeutic development targeting extracellular matrix protein fibulin-3 in retinal diseases including age-related macular degeneration and Doyne honeycomb retinal dystrophy.

Article Title: University of Minnesota Researchers Secure $2.2M NIH Grant to Target Fibulin-3 in Retinal Disorders

News Publication Date: June 16, 2026

Web References:
https://med.umn.edu/bio/john-hulleman-phd
https://med.umn.edu/

Keywords:
Retinal diseases, Age-related macular degeneration, Doyne honeycomb retinal dystrophy, Malattia Leventinese, Fibulin-3, Extracellular matrix, Ophthalmology, Visual neuroscience, Drug repurposing, Molecular biology, Retinopathy, Therapeutic development

UC Irvine Scientist Awarded Nearly $4 Million NIH Grant to Develop Therapeutic Vaccine Targeting Genital Herpes

16 June 2026 at 21:26

University of California, Irvine Innovates Therapeutic Vaccine Strategy to Combat Recurrent Genital Herpes

In a groundbreaking development that could transform the management of genital herpes, UC Irvine immunologist Lbachir BenMohamed has secured nearly $4 million in funding from the National Institutes of Health to advance a novel therapeutic vaccine approach. This ambitious five-year project aims to tackle recurrent genital herpes caused by herpes simplex virus type 2 (HSV-2), a persistent viral infection that affects over 60 million Americans and more than half a billion individuals globally. Despite extensive research efforts historically, no approved therapeutic vaccine exists to date, leaving millions vulnerable to recurrent outbreaks and transmission.

BenMohamed’s research focuses on a next-generation vaccine strategy termed “Prime/Pull/Keep,” designed to establish a robust, localized immune defense precisely at the mucosal sites where HSV-2 resides and reactivates. Conventional vaccines predominantly elicit circulating antibodies, which are insufficient to control HSV-2’s latent reservoirs in the nerve ganglia and mucosal tissues. This innovative approach instead targets tissue-resident memory T cells (TRM), a specialized subset of immune cells critically positioned at the barrier sites to provide immediate defense against viral reactivation.

The Prime/Pull/Keep methodology encompasses a three-step immunization process: initial priming of protective T cells via vaccination, mobilization of these cells to the infected tissue through chemokine signals (pull), and sustained retention and functional maintenance at the site of infection (keep). Together, these steps ensure a sustained population of antiviral T cells, capable of rapid detection and elimination of reactivated virus, potentially curbing recurrent disease manifestations and viral shedding.

Previous investigations by BenMohamed’s team have demonstrated promising results with mRNA-based therapeutic vaccines in preclinical models. These candidates were effective in reducing clinical signs of recurrent genital herpes and enhancing the recruitment of protective T cells within genital mucosal tissues. Additionally, exploring immune-signaling molecules such as chemokines has validated the feasibility of attracting and retaining TRM populations, thereby improving local immune surveillance and long-term antiviral immunity.

The current NIH-funded project intends to rigorously evaluate the safety profile and immunogenic potential of various Prime/Pull/Keep vaccine candidates in preclinical animal models, examining how augmenting the quantity, quality, and durability of TRM cells correlates with protection from HSV-2 reactivation. This represents a critical translational step toward bridging laboratory research and clinical trials, responding to NIH’s strategic priority to develop novel therapeutic interventions for genital herpes.

BenMohamed articulates the significance of this research succinctly: “People living with recurrent genital herpes have long awaited effective therapeutic vaccines. Our innovative immune-based approach not only amplifies protective T cells but directs and maintains them where the virus hides. This could revolutionize prevention strategies for millions affected worldwide.” The team’s vision is to develop a vaccine capable of reducing recurrent outbreaks and viral transmission, substantially improving quality of life for patients.

HSV-2 represents a formidable pathogen due to its ability to establish lifelong latent infection in sensory neurons, periodically reactivating to cause painful genital lesions and facilitating onward transmission. Existing antiviral therapies focus on suppressing viral replication but do not eliminate reservoirs or prevent recurrence. The targeted boosting of tissue-resident immune memory represents a paradigm shift in immunotherapy, promising durable tissue-specific immunity where it is needed most.

The Prime/Pull/Keep vaccination strategy could also circumvent issues faced by traditional systemic vaccines, which often fail to generate sufficient mucosal immunity or induce long-lasting memory T cell populations within genital tissues. By tailoring antigen delivery and immune modulation, this approach aims to enhance the local microenvironment and foster a self-renewing population of sentinel T cells poised to respond immediately to viral reactivation.

As the project advances through preclinical stages, rigorous assessment of immune correlates of protection will inform optimization of vaccine formulations, dosing schedules, and adjuvant combinations. Understanding the mechanisms underpinning TRM cell maintenance and functionality remains an active area of investigation critical to maximizing therapeutic efficacy and durability.

The successful identification of an optimal Prime/Pull/Keep candidate would pave the way for human clinical trials, marking a historic milestone in the fight against genital herpes. Such a vaccine holds the promise not only to alleviate recurrent symptoms but also to significantly curtail viral shedding, thereby decreasing transmission rates and public health burden.

Beyond genital herpes, the conceptual framework underlying Prime/Pull/Keep may inspire novel immunotherapeutic strategies for other persistent viral infections and chronic diseases where localized immune memory is pivotal. Collaborative efforts among immunologists, virologists, and clinical scientists will be essential to translate these findings into effective interventions.

With UC Irvine’s robust infrastructure, cutting-edge facilities, and interdisciplinary expertise, BenMohamed’s laboratory is well-positioned to spearhead this transformative endeavor. The $3.93 million NIH R01 grant underscores the scientific community’s confidence in this pioneering approach and its potential to redefine therapeutic vaccine development for chronic viral infections.

In conclusion, the UC Irvine-led Prime/Pull/Keep vaccine project represents a beacon of hope for millions plagued by recurrent genital herpes, offering a sophisticated and strategic means to harness the immune system’s power at the precise sites of viral latency and reactivation. As research progresses, the scientific world eagerly anticipates the realization of a durable, tissue-targeted therapeutic vaccine capable of changing the landscape of HSV-2 management and prevention.

Subject of Research: Development of a novel therapeutic vaccine to prevent recurrent genital herpes by targeting tissue-resident memory T cells

Article Title: UC Irvine Advances Prime/Pull/Keep Therapeutic Vaccine Strategy to Combat Recurrent Genital Herpes

News Publication Date: June 16, 2026

Web References:
– University of California, Irvine: www.uci.edu
– UC Irvine News: news.uci.edu
– NIH Media Resources: https://news.uci.edu/media-resources/

Keywords: herpes simplex virus type 2, HSV-2, genital herpes, therapeutic vaccine, tissue-resident memory T cells, Prime/Pull/Keep, immunotherapy, mRNA vaccine, viral latency, NIH funding, recurrent infections, mucosal immunity

Scientists Reveal New Discoveries About Cells Forming Brain’s Protective Barriers

16 June 2026 at 21:23

In the complex landscape of brain development, the formation of the brain’s protective barriers—the blood-brain barrier (BBB) and the blood-cerebrospinal fluid (CSF) barrier—has long fascinated neuroscientists. These barriers are composed of highly specialized cells that serve a critical function: permitting necessary nutrients to enter the brain while preventing harmful substances, pathogens, and toxins circulating in the bloodstream from crossing into the delicate neural environment. Despite a deep understanding of their function, the cellular mechanisms orchestrating their assembly during embryogenesis have remained elusive. A groundbreaking study led by researchers at the University of California San Diego, recently published in Cell, unveils a surprising and paradigm-shifting contributor to brain barrier development: cellular senescence.

Cellular senescence is traditionally characterized as a permanent cessation of cell division, commonly associated with aging and pathology. These so-called “zombie” cells, which remain metabolically active but fail to proliferate, accumulate in aging tissues, contributing to chronic inflammation, tissue dysfunction, and cognitive decline. As a consequence, senescent cells have become key targets in developing therapeutic strategies to mitigate age-related diseases. However, recent evidence challenges the simplistic association of senescence solely with aging and damage. Instead, senescence appears highly context-dependent, playing complex and sometimes beneficial roles in development and healing.

Emerging studies have revealed transient senescent cell populations in mouse embryos during the formation of limbs and kidneys, as well as in wound healing contexts, where senescence promotes tissue repair. These discoveries suggest that senescence may be an evolutionarily conserved mechanism to guide tissue remodeling and regeneration when temporally controlled. The UC San Diego research team, led by Assistant Professor Hiruy Meharena, has extended this concept into the realm of brain development, uncovering diverse senescence-associated cell states that actively contribute to constructing the brain’s vital protective barriers.

Through a multifaceted approach combining single-cell RNA sequencing, advanced imaging, and precise genetic lineage tracing in developing mouse brains, the investigators identified three distinct cell types that transiently or persistently enter senescence during the formation of the BBB and blood-CSF barrier. These cell types include vascular endothelial cells, brain-resident macrophages, and choroid plexus epithelial cells, each exhibiting unique senescence profiles and functional roles in the brain’s developmental timeline.

Vascular endothelial cells, which line the embryonic blood vessels, and brain-resident macrophages engage senescence transiently during critical windows of brain vascular remodeling and patterning. These senescent states appear to fine-tune the formation of the intricate vascular network essential for establishing the highly selective BBB, coordinating cellular interactions and molecular signaling pathways that regulate tight junction formation and barrier integrity. This temporary senescent phase helps orchestrate the vascular architecture that prevents harmful molecules in the blood from infiltrating brain tissue.

In contrast, choroid plexus epithelial cells—responsible for generating cerebrospinal fluid and forming the blood-CSF barrier—exhibit a persistent senescence-like state that endures beyond embryonic development into adulthood. This finding defies the prevailing dogma that developmental senescence is exclusively transient and suggests a novel dimension of senescence’s role in maintaining barrier function over the lifespan. The sustained senescent phenotype in these epithelial cells likely supports the continuous protective and homeostatic functions of the blood-CSF barrier, which plays a critical role in brain fluid regulation and immune surveillance.

One of the study’s most unexpected revelations emerged when the researchers experimentally ablated senescent cells during embryogenesis. The resulting mice exhibited marked abnormalities in the structural and functional development of both brain barriers, accompanied by disrupted fluid balance within the central nervous system. These defects underscore the indispensability of senescent cells in normal brain barrier formation and highlight the complex interplay between senescence and tissue morphogenesis.

This nuanced view of senescence challenges the traditional perception of a monolithic, detrimental “senescence program,” revealing instead a spectrum of senescence-associated cell states tailored to specific developmental contexts and cell types. Senescence acts not as a simple arrest signal but as a dynamic, multifaceted process facilitating intercellular cooperation during neurovascular development. It integrates molecular cues that modulate cell behavior, extracellular matrix remodeling, and immune cell function to sculpt the brain’s defensive frontiers.

The implications of these findings extend beyond developmental biology into the pathophysiology of brain disorders. Since the integrity of the BBB and blood-CSF barrier is compromised in neurodegenerative diseases, stroke, and neuroinflammation, understanding the diverse roles of senescent cells in barrier biology may herald new therapeutic avenues for restoring barrier function and mitigating neurological deficits. The UC San Diego team is now probing how senescence-related mechanisms unfold in disease contexts, aiming to decipher whether modulating senescent cell populations can ameliorate or prevent barrier dysfunction.

Moreover, the identification of persistent senescence in adult choroid plexus cells prompts intriguing questions about the balance between beneficial senescence and potential chronic senescent cell accumulation contributing to pathology. Future research will explore how this persistent senescence is regulated and whether it participates in age-related changes in brain fluid dynamics or susceptibility to CNS infections.

This research challenges the classical narrative that equates senescence with detrimental aging by elucidating its fundamental, constructive roles in brain development. It elevates the concept of senescence from a pathological endpoint to an essential, adaptive cellular state finely tuned in time and space. By redefining senescence as a developmental and homeostatic facilitator, the study sets a new trajectory for investigating cellular aging, brain barrier biology, and neurovascular health.

As neuroscience embraces the complexity of cellular states within the brain’s microenvironment, these insights offer a richer, more integrative framework. The study’s comprehensive use of cutting-edge genomic, imaging, and genetic tools exemplifies the power of modern neurobiology to unravel the elusive choreography underlying brain structure and function. Continued exploration of developmental senescence promises to deepen our understanding of brain physiology and opens transformative possibilities for innovative treatments targeting the blood-brain and blood-CSF barriers across the lifespan.


Subject of Research: Animals

Article Title: Persistent and transient senescent cells contribute to brain barrier development

News Publication Date: 10-Jun-2026

Web References: https://www.cell.com/cell/fulltext/S0092-8674(26)00581-7

References: DOI 10.1016/j.cell.2026.05.022

Image Credits: Ella Maru Studio, conceptualized by Ashley Watson and Hiruy Meharena

Keywords: Cellular neuroscience, cellular senescence, developmental neuroscience, molecular neuroscience, cellular physiology, cell development, cellular processes

SpaceX’s planned $60 billion deal for Cursor raises questions for CIOs

16 June 2026 at 21:03

When SpaceX on Tuesday officially announced its plan to purchase AI coding startup Cursor for $60 billion in stock, as it had predicted it would do in April, it presented CIOs and developers with a little good news, a little bad news and a massive pile of uncertainty. 

The details of the proposed acquisition were virtually identical to the terms announced in April, even retaining the $10 billion consolation prize for Cursor should SpaceX back out of the deal.  

But for CIOs and developers, the increasing probability of the deal happening is forcing them to make long-term decisions without many long-term answers about what is likely to happen to Cursor, which says its coding agents are used by 64% of Fortune 500 companies.

But whether the deal is good news for Cursor’s customers, or even those of its rivals, is an open question.

Arnal Dayaratna, research VP for software development at IDC, is firmly in the good news camp. He argued that the main element holding back the company, which he estimated brings in about $2 billion in annual revenue, was access to GPUs. And, he said, SpaceX’s xAI has the ability to resolve that problem.

It’s all about the GPUs

“The implication is that Cursor can get better because it will get better access to more compute, in the form of GPUs. That was what Cursor was struggling to obtain,” Dayaratna said, adding that Cursor joins both Anthropic and Google in aligning with xAI. 

“It is bad news for Anthropic,” he said, pointing out, “[Elon] Musk figured out that GPUs were the limiters, the bottleneck. Not human talent: compute. And it’s not only about GPUs. It’s about the data centers,” as well as the mechanisms needed to support data centers, including electricity access, cooling apparatus, and zoning rights.

“Zoning rights are very difficult to obtain in the United States, and Elon has been able to leverage his political capital” to obtain those rights, Dayaratna said.

Dayaratna also commented on the highly unusual tactic of a company pre-announcing an acquisition and then announcing it “officially” two months later. The reason, he suggested, is that Musk didn’t want the acquisition to delay the SpaceX IPO, but he did want potential investors to know about it. “It gave the IPO more legs, even though it was not formally a part of the IPO. He wanted to socialize it before it happened,” he said.

Jason Andersen, principal analyst at Moor Insights & Strategy, took a far more cautious approach and predicted, “enterprise customers will be very concerned.”

Time for CIO due diligence

“xAI’s models and treatment of guardrails are very different than what Cursor has stood for,” Andersen said, and the key issue involves model choice. “Will Cursor be able to point at models other than Grok? If that is the case, it could go towards helping customers be OK with things for a while,” he said. 

But Andersen stressed the words “for a while.” He argued that Cursor rivals have gotten more sophisticated, which could give enterprise CIOs more alternatives.

“The tooling options from the classic enterprise vendors have gotten really good, and also have a number of features that enable better governance and teaming. For example, Kiro from AWS is already a worthy competitor to Cursor, but there have also been major improvements from Google and Microsoft this year,” Andersen said. “I’d venture to say that Cursor was already facing a substantial competitive challenge in the enterprise, especially as the vibe coding movement lost some steam towards agents that enable so much more developer capability.”

Andersen added, “A lot of SpaceX’s valuation is pinned to xAI and there wasn’t enough IP there for it to be long-term competitive with Anthropic or OpenAI without rapidly injecting new technology.”

Shashi Bellamkonda, principal research director at Info-Tech Research Group, said the current period of due diligence gives CIOs opportunities to ask difficult questions.

“I do believe that enterprise customers will start to ask harder questions now, especially if more of the processing starts moving through Grok or xAI infrastructure,” Bellamkonda said, but he stressed that he does see a SpaceX deal helping Cursor.

“Cursor is already carrying a lot of LLM cost and if SpaceX and xAI can give it access to more compute and a faster, improved Grok model, customers could eventually get better performance at a lower cost. Grok is getting faster and more accurate, and under SpaceX there may be more enterprise appetite for xAI than xAI had on its own,” Bellamkonda said.

Questions about data privacy

But Bellamkonda also pointed to the trust issue, specifically asking whether Cursor would be allowed to continue its zero-data-retention policy under the new ownership.

“Enterprise users with sensitive codebases will want to understand exactly where their data is going, who has access to it, and whether any prompts, code, metadata, or embeddings are touching SpaceX or xAI systems,” Bellamkonda said. “Zero data retention is only valuable if customers believe the controls still apply across the new infrastructure. If they can preserve Cursor’s privacy posture while using xAI and SpaceX compute to improve the product, this could be a very strong outcome for customers. If the data governance is unclear, enterprise buyers will hesitate.”

Justin Greis, CEO of consulting firm Acceligence, echoed Bellamkonda’s concerns.

“For many enterprise customers, Cursor’s zero-data-retention policy was not simply a security feature. It was a foundational part of the procurement and approval process,” Greis said, pointing out that security teams, legal departments, compliance officers, and executive leadership all became more comfortable adopting AI-assisted development because they believed their source code, prompts, and proprietary intellectual property would not be retained, stored, or repurposed.

“Whenever ownership changes, customers naturally revisit those assumptions,” he said. “I would expect enterprise customers to immediately seek clarity on whether existing zero-data-retention commitments remain unchanged, whether those commitments continue to be contractually enforceable, and whether any future modifications could be introduced through changes to terms of service or product strategy.”

Reassessing platform risk

Another concern is whether the move will create greater vendor concentration, and whether that will increase risk exposure. 

“Many organizations are already concerned about becoming overly dependent on a small number of AI providers. If Cursor becomes more tightly integrated into a broader SpaceX technology ecosystem, some enterprises may worry about reduced flexibility and fewer alternatives. I suspect this will be a continued question with SpaceX’s recent IPO and growth plans,” Greis said.

Additionally, he pointed out, “AI coding platforms are rapidly becoming part of critical software delivery infrastructure. When organizations standardize on these tools, they are making a long-term platform decision that influences developer productivity, software quality, security processes, and engineering workflows. A change in ownership naturally prompts a reassessment of platform risk, roadmap alignment, and long-term strategic direction.”

As well, Sanchit Vir Gogia, chief analyst at Greyhound Research, noted, “zero data retention survives only where it stays contractual, auditable, enforceable and fenced from affiliate use. The deeper point is what Cursor has become. It is no longer a developer convenience. It sits inside the act of software creation, close to the intellectual-property bloodstream of the enterprise. That is a control plane, and control planes change hands rarely and consequentially.”

Gogia added that even before an acquisition, Cursor was already weakening its data guarantee. “Even now the promise is layered. Cursor’s own disclosures show that standard Privacy Mode still permits some code data to be stored for product features, while only the stricter legacy setting retains nothing. Zero is the exception, not the default.”

BU’s Sushrut Waikar, MD, MPH, Recognized by American Society of Nephrology

16 June 2026 at 18:01

In a remarkable acknowledgment of his contributions to nephrology, Dr. Sushrut S. Waikar has received the American Society of Nephrology (ASN) Distinguished Mentor Award. This prestigious accolade honors individuals who have profoundly impacted the kidney health community through their dedication to mentorship, fostering the careers of emerging clinicians and researchers. Dr. Waikar’s influence extends far beyond routine clinical practice; he has been instrumental in inspiring trainees to dedicate themselves to nephrology, emphasizing innovation in both research and healthcare practice.

Dr. Waikar currently holds the position of Chief of Nephrology at Boston Medical Center and serves as the Norman G. Levinsky Professor of Medicine at Boston University’s Chobanian & Avedisian School of Medicine. As a clinician-scientist, Dr. Waikar has maintained continuous funding from the National Institutes of Health (NIH) for over two decades, highlighting his sustained commitment to advancing kidney disease research. His expansive research agenda incorporates epidemiologic methodologies, translational science, and interventional clinical trials designed to address urgent clinical challenges.

Central to Dr. Waikar’s research portfolio is the refinement of diagnostic tools for kidney diseases, an area critical for early detection and improved patient outcomes. His laboratory has developed novel biomarkers and testing algorithms that aim to enhance diagnostic accuracy, thereby allowing for more timely and precise therapeutic interventions. Such advancements are vital in a field where early-stage kidney dysfunction often goes undetected until it progresses to irreversible damage.

Another significant thrust of Dr. Waikar’s research involves kidney biopsy studies, which offer invaluable insights into the pathophysiological mechanisms underlying disease progression within the renal parenchyma. By analyzing tissue samples, his team seeks to elucidate the cellular and molecular pathways that drive kidney deterioration, providing a foundation for the future design of targeted therapies. This level of detailed study bridges the gap between clinical observation and basic science, enabling a more comprehensive understanding of renal pathology.

Dr. Waikar’s investigations also spotlights a particularly devastating public health concern known as Chronic Kidney Disease of uncertain etiology (CKDu). This disease has emerged as a lethal epidemic primarily afflicting young agricultural workers in Central America and South Asia. Unlike traditional forms of chronic kidney disease associated with diabetes or hypertension, CKDu’s etiology remains elusive and multifactorial. His research endeavors aim to clarify environmental, occupational, and genetic risk factors contributing to this silent crisis, with hopes of informing preventative strategies and policy interventions.

Within the realm of precision medicine, Dr. Waikar acts as principal investigator for the NIH Kidney Precision Medicine Project. This ambitious initiative is engineered to leverage cutting-edge genomic, proteomic, and proteomic technologies to tailor kidney disease treatment at an individual level. By integrating these high-throughput techniques with clinical data, this project aspires to revolutionize management paradigms for kidney disorders, ultimately improving personalized patient care outcomes.

In addition to his leadership in precision medicine, Dr. Waikar coordinates the CKD of Unknown Etiology Consortium, a collaborative network of investigators dedicated to elucidating CKDu. This consortium underscores the importance of multidisciplinary cooperation in tackling complex health challenges, combining epidemiology, environmental sciences, and nephrology to develop holistic solutions to kidney health crises.

Dr. Waikar’s intellectual journey began with an undergraduate education in English and neuroscience at Amherst College, fostering a broad intellectual foundation that supports his interdisciplinary approach. He then earned his medical degree at Yale University, further complementing his scientific expertise with clinical acumen. His postgraduate training in internal medicine and nephrology at highly regarded institutions such as the University of California, San Francisco, and the Mass General Brigham system was distinguished by leadership roles, including chief medical resident, reflecting his early commitment to medical education and mentorship.

His academic trajectory also includes earning a Master’s degree in Public Health from Harvard University, which underpins his rigorous approach to epidemiology and population-based studies. This public health background allows Dr. Waikar to navigate and address the systemic factors impacting kidney health globally, marrying clinical insight with health policy and preventive medicine.

The American Society of Nephrology, founded in 1966, stands as the largest professional society devoted to kidney disease research and education worldwide. To further acknowledge the critical contributions of midcareer professionals, ASN established the Midcareer Awards Program in 2019, celebrating individuals like Dr. Waikar who demonstrate exceptional clinical expertise, innovative research, and dedicated service to the nephrology field and the society’s mission.

Dr. Waikar’s recognition by the ASN Distinguished Mentor Award not only celebrates his individual achievements but also highlights the critical role that mentorship plays in shaping the future of nephrology. His ability to guide, inspire, and cultivate the development of emerging leaders ensures that advances in kidney research and patient care continue to accelerate, ultimately benefiting countless individuals suffering from kidney disease globally.

Through the integration of basic science, clinical application, and public health strategies, Dr. Waikar exemplifies the modern physician-scientist who transforms knowledge into meaningful biomedical progress. His contributions serve as a catalyst for ongoing discoveries and innovations that hold the promise of reducing kidney disease burden worldwide.

Subject of Research:
Kidney disease diagnostics and research, Chronic Kidney Disease of uncertain etiology (CKDu), kidney biopsy studies, precision medicine in nephrology.

Article Title:
Not provided.

News Publication Date:
Not provided.

Web References:
Not provided.

References:
Not provided.

Image Credits:
Not provided.

Keywords:
Nephrology, kidney disease, chronic kidney disease, CKDu, NIH Kidney Precision Medicine Project, kidney biopsy, biomarkers, epidemiology, translational research, mentorship, American Society of Nephrology, public health.

“We’ve Never Seen Anything Like This”: Discovery of a Hidden Biological Clock Reveals the “Master Key” to Growth and Development

16 June 2026 at 14:54


A hidden biological clock has been discovered by genetic researchers, revealing how proteins act as a timing mechanism that controls living organisms’ growth into adulthood.

Cold Spring Harbor Laboratory (CSHL) researchers in New York revealed their findings in a recent paper published in the Proceedings of the National Academy of Sciences, identifying how a feedback circuit between the proteins MYRF-1 and LIN-42 functions as the worm genome’s master developmental clock.

Their research focused on the worm species Caenorhabditis elegans, revealing how these proteins set the timing of pulses that guide the worm through its development.

A Missing Biological Clock

“Development requires that cells change identity in the correct order while the organism continues to grow. How multicellular animals generate and synchronize this timing information across tissues has remained unclear,” the authors write.

The search for this missing biological clock was the core of the CSHL team’s research. Genetic and developmental problems are often expressed as a failure of developmental processes to initiate, which could be tied to problems with internal timing sequences that organize such behaviors. This marks the first time researchers have discovered a non-repeating biological clock.

“This is the central clock for all cells in the worm,” explained co-author Christopher Hammell. “It’s responsible for coordinating a finite series of sequential pulses of gene expression that must occur only once, and in order, for proper developmental progression. It’s like a ratchet. It turns genes on and off multiple times during development, but ultimately, it’s only going in one direction.”

Exploring the Genetic Issues

CSHL researchers paired the modern AI tool AlphaFold with more traditional genetic research techniques, such as protein sequencing, molecular experiments, and DNA sequencing, to identify MYRF-1’s role in the worm’s development.

The team found that protein signals both initiate and terminate developmental stages, keeping growth on track. MYRF-1 pulses fire first, then activate LIN-42, which determines the strength and duration of the timing pulses. This biological clock activates stage-specific regulatory RNAs and synchronizes developmental checkpoints, creating a rhythmic gene-regulation metronome that enforces the irreversible nature of growth and molting. 

In tests to confirm how this biological clock operates, researchers discovered that blocking MYRF-1 expression disrupts the worms’ development cycle.

Understanding the Rhythm of Growth

“We’ve never seen anything like this before,” Hammell says. “MYRF-1 is part of this master regulatory clock for all cells, but it’s also acting as a key maker and the master key for each stage of growth. Without the right key for each stage, development hits a wall and can’t progress.”

The researchers say that understanding how these proteins interact to create cellular clocks that guide development will help researchers better understand cell growth, progression, and differentiation.

“The MYRF-1/LIN-42 circuit runs in all cells,” Hammell says. “And every one of these independent cellular clocks appears to be in sync when you watch normal development. But are they communicating with each other? We’ve never thought deeply about that question before.”

A better understanding of these clocks could offer potential routes to cures for genetic and developmental issues by allowing medical science to jump-start processes that fail to initiate naturally.

Fundamentally, by restoring synchronization of these growth, development, and differentiation processes, scientists and medical practitioners could see better future success in alleviating certain genetic conditions.

The team’s recent paper, “A Molecular Timer Couples Organism-Wide Temporal Identity to Developmental Checkpoints,” appeared in Proceedings of the National Academy of Sciences on May 6, 2026.

Ryan Whalen covers science and technology for The Debrief. He holds an MA in History and a Master of Library and Information Science with a certificate in Data Science. He can be contacted at ryan@thedebrief.org, and follow him on Twitter @mdntwvlf.

Shipping enterprise-quality code with AI agents

16 June 2026 at 10:00

Developers are caught between the joy — or pressure — of using agents to ship 10x faster today and the dread of how they will maintain that code tomorrow. The gap between “vibe” code and code that can be deployed to millions of users is vast and easy to underestimate. Closing the gap requires care, expertise, and effort, with the payoff coming later. Agents are able to complete increasingly complex programming tasks but without the quality we need. What’s missing, and how can we fill the gap?

agentic coding quality gap - sonar

Sonar

Why agent-generated code degrades: the bloat problem

Enterprise code has to clear three bars: it must be maintainable, reliable, and secure. Out-of-the-box AI agents can miss all three. Let’s focus on the biggest and most visible maintainability issue, which is bloat: redundant validation, defensive checks that cannot fire, near-duplicate functions, dead code that nothing removes. A None check on a parameter typed as dict. A try/except around a call that never throws. Two functions, identical except for the negation in their return statement.

Bloat varies dramatically by model. Sonar’s LLM Leaderboard runs every frontier model through 4,400+ Java tasks and analyses the code generated. To complete the benchmark, GPT-5.4 High generated 1,159,000 lines of code at an 81.05% pass rate, while Claude Opus 4.7 Thinking generated only 336,000 lines of code to return a better than 82.52% pass rate. Different models generate dramatically different code to achieve similar outcomes.

Bloat is not just messy. Carnegie Mellon researchers studied 807 open-source projects that had adopted Cursor, matched against 1,380 controls, measured by SonarQube. A short-term velocity gain disappeared by month three, while static analysis warnings rose 30% and code complexity rose 41% — both persistent. The harder it became to change the codebase and the more bugs it contained, the more the velocity was dragged down. Any experienced developer will know how this goes: quality problems compound until the code feels impossible to change and the only option is the dreaded rewrite.

Three forces produce bloat once a model is in use:

  1. Agents do not feel the maintenance burden. Armin Ronacher, the creator of Flask, made the point on the Pragmatic Engineer podcast in late April. Humans feel the cost of bad code over time, and as Ronacher put it, “if the pain gets too big, you as a human are incentivized to fix the cause of your pain” — so we refactor. Agents do not. They obliviously extend bad structure indefinitely. A senior engineer’s job is to say no to unnecessary abstraction. The agent has no equivalent reflex.
  2. Training rewards apparent completeness. Pretraining corpora are full of explanatory material — Stack Overflow answers, tutorials, README snippets — deliberately self-contained and verbose. Post-training compounds the effect: human raters prefer outputs that look thorough, so models learn that “comprehensive” reads as better. When uncertain which edge case matters, the safe move is to handle all of them. Each guard is locally defensible. The aggregate is bloat.
  3. Iterative generation has no deletion pressure. Agents add but rarely delete. Removing dead code does not make any test go green, so superseded functions accumulate alongside their replacements. SlopCodeBench, a March 2026 benchmark across 11 coding models, found rising structural complexity in 80% of trajectories and rising verbosity in 89.8%. Agents continue to patch bad code, treating every task as if it’s their last.

AC/DC: the loop that compensates

What closes the gap is a loop around each iteration of agent work. The agent does what it is good at — generating code — and our job is to wrap that with three steps the agent cannot reliably do on its own. At Sonar we call this the Agent Centric Development Cycle, or AC/DC: guide, verify, solve.

Guide

Many teams overcorrect on context. They paste the style guide, three years of architectural decisions, and the entire onboarding doc into the agent’s instructions and expect output to improve. ETH Zurich researchers tested this and found the opposite: large context files often reduced task success against no context at all, and added 20% or more to inference cost.

Keep agent-facing context short — under 200 lines is a useful heuristic — and restrict it to fundamentals that can’t easily be inferred from the code: naming conventions, architectural invariants, what has been tried and failed. However, this will only get you so far, so make sure to provide specific context for each task. If you have architectural expectations, don’t expect the agent to guess them. Software architecture tools can be used to provide additional context in the guide phase.

Task shape matters too. Break the work into steps and agree on a plan; ask the agent to provide three solutions and evaluate the impact on quality of each. There is no perfect software architecture, and you understand the trade-offs in your codebase best, so think critically about the changes before they happen. Without this, the agent will confidently pick an option, seemingly at random, and the further it goes the harder it is to “unpick.” If you want to test this, ask three instances of your preferred agent to complete a task that involves some polymorphism and watch each one confidently suggest a different solution.

Verify

The most expensive verification mistake is doing it last. Reviewing 200-line pull requests (PRs) after the agent is done is the dynamic behind the Faros/DORA figures Addy Osmani highlighted: 98% more PRs merged in high-adoption teams, review times up 91%. Verification inside the loop is different. Unit test runs, static analysis, and security scanners produce output the agent can act on. This is where AI-native tooling belongs: purpose-built for the agent to invoke, not just for humans to consult through a UI.

Human reviewers cannot keep up. When agents merge twice as many PRs per week and each one takes nearly twice as long to review, doubling the review staff still leaves you behind. Automated verification is the only response that scales. Fast feedback has always been a fundamental tenet of good software engineering. Feeding it directly back to the agent protects the developer from simple mistakes and leaves them headroom to work on the harder ones.

Solve

If verification happens within the agentic loop, the agent can fix any issues whilst the code is being generated without expensive remediation steps. Static analysis tools can guide the agent on how to resolve the issue quickly. Some cases need human judgment — a None check at a system boundary may document a real precondition. But most of the work is mechanical. Automate the obvious fixes and let engineers spend their attention on the cases that are not.

The investment that compounds

Better models will keep arriving. They may not change the mechanism of bloat or the dynamics of compounding decay. The loop is what does — bounded tasks, sharp context, in-loop verification, and a deliberate “solve” step to clear bloat before it accumulates.

The same logic governs how autonomy should expand. Reduce human interventions only when the agent’s guide, verify, and solve cycle is making them redundant. Our biases can sting us here: an agent’s ability to write code can lead us to agree with it more than we should. Don’t trust blindly; wait for the evidence.

The teams that will be shipping enterprise-quality code with AI agents in 18 months are not the ones running the “best model.” They are the ones treating workflow as the engineering investment, with the seriousness once given to build systems and CI. The model is the tool, the workflow is the discipline. That is where the durable advantage compounds.

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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.

DocLang aims to make documents readable by AI, not humans

16 June 2026 at 08:03

AIs struggle to understand documents designed for humans; the DocLang working group seeks to flip that imbalance with its specification for machine-readable business documents “built from the ground up for LLM tokenizers.”

The working group, founded by IBM, Nvidia, and Red Hat and hosted by the Linux Foundation’s LF AI & Data project, aims to create an open, universal, AI-native document format designed to improve how enterprises prepare, exchange, and govern document data for AI systems. ABBYY and Human Signal will also be involved in its development, and other contributors are welcome.

“Enterprises today work across a fragmented landscape of document formats, including PDFs, JPEGs, and other file types built primarily for human consumption rather than AI interpretation,” the group said in its launch announcement.

“This disconnect can introduce complexity, raise costs, and reduce reliability when extracting meaning from business documents,” as organizations increasingly rely on generative AI and agentic systems, it said.

Mark Collier, executive director of LF AI & Data, said the goal of the DocLang Specification Working Group is to “develop a vendor-neutral, interoperable standard that helps organizations prepare document data for AI more reliably, transparently, and at scale.”

DocLang defines a structured, machine-readable format for documents of any type, like JSON for data, that any tool can implement and any pipeline can consume. It builds on DocLing, a document processing toolkit hosted by LF AI & Data that can transform human-readable PDFs, word processor documents or spreadsheets into structured data.

Standards must evolve for AI

Something like DocLang is needed, said independent technology analyst Carmi Levy. “Existing document standards have done an admirable job allowing global stakeholders to confidently collaborate for decades, but it’s becoming increasingly clear that they are in desperate need of an update as AI reshapes the rules around how work gets done,” he explained.

Largely static document types, he said, “can be somewhat limiting when AI is redefining the very word, ‘document.’ In many ways. AI-age documents are far more iterative and dynamic than what they once were, and the definitions need to evolve with the times. The documents we currently live with simply weren’t designed for the AI age.”

Within that context, Levy said, “DocLang represents an early, best hope of achieving some kind of foundational baseline for document standards, one that will hopefully allow more intelligent, more efficient, lower-risk workflows than is currently the case.”

Taking an open-source, vendor-agnostic approach to the process ensures the collective will take precedence over the needs of specific vendors, he said, adding, “earlier standards-setting efforts around networking, documentation, the web, and the cloud powered the free-flowing digital landscape that defines modern life.”

An AI-centric documentation standard will carry that reality into the next generation of technology, said Levy.

A question of governance

The entire concept of LLMs, Jason Andersen, principal analyst at Moor Insights & Strategy said, “involves using natural human languages. The computer is supposed to understand us without us changing our syntax or language. Forcing a syntax on users is exactly what we have today with SEO and more advanced programming languages.”

With something like DocLang, where the standard can be applied to content ingestion, he said, “I would be OK with that being automated, which seems to be the intent. The use case I envision is that when I upload a document to an agent, a skill can be run to preprocess the document into the DocLang standard format, saving tokens.”

That makes sense, he said, adding that he thinks it’s good “if it can help generate outputs, like a visualization, that can be shared outside an AI tool. On that front, that is also why I am liking Web MCP, since you are just adding some code to the page, like CSS or JavaScript, and the consumer, in this case, an AI browser or skill, is better equipped to handle the site.”

The point, he said, is, “these standards need to preserve the fact that humans can still do what they want, and do not need to know any coding to be proficient. In terms of governance, I am not sure if it matters.”

But one analyst did foresee governance problems arising from DocLang’s use.

Yaz Palanichamy, senior research analyst at Info-Tech Research Group, said DocLang adoption will require organizations to implement and review controls in order to scale its use accountably and securely.

This article first appeared on CIO, on June 10, 2026.

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