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Supply Chain Digital Twins: An Evolution, Not a Breakthrough
Digital twins help optimize drug production processes by modeling the thousands of interactions that cells, raw materials, and reagents undergo in culture. And new analysis suggests they could do the same thing for supply chains.
Researchers at the U.S. National Institute of Standards and Technology (NIST) and EMD Millipore put forward the idea, arguing that twins could make drug distribution, which is also characterized by thousands of interactions, more resilient and efficient.
Lead author Perawit Charoenwut, a logistics researcher at NIST’s systems integration division, tells GEN, “A digital twin could be extremely helpful in all phases of the biopharmaceutical supply chain. Starting from demand planning triggered by global events such as pandemics, regional disease outbreaks, aging demographics, etc., through to being able to provide visibility on capacity requirements and limitations.”
In silico models could also provide solutions to disruption by identifying alternative supply options, such as distribution centers or regional inventories, in less time, Charoenwut says.
“Digital twins could also be helpful in evaluating different suppliers by running simulations on their potential performance, based on different demand scenarios versus their individual capacities and capabilities,” he continues.
Standards
In theory, digital twins are a good option for supply chain modeling and management. In practice, however, firms interested in the approach will need to overcome some technical challenges.
For example, one major hurdle is the lack of data standardization, according to study co-author Boonserm Kulvatunyou, PhD, a computer engineer at NIST. “Supply chain digital twins require data from across organizations and third-party sources,” he tells GEN. “The lack of industry standards creates challenges in obtaining all the necessary data.”
With this in mind, the NIST’s Industrial Ontology Foundry (IOF) is working with the National Innovation Institute for Manufacturing Biopharmaceuticals (NIIMBL) to develop open-source ontology and schema standards for connecting data.
Kulvatunyou says, “The aim is to provide a semantic foundation for connecting data and knowledge across the manufacturing and supply chain operations.
“Further work is being conducted to cover broader materials, processes, and quality data,” he says. “We would like to invite industry and academia to join this effort and benefit from these new standards.”
Industry interest
Biopharma firms interested in digital supply chains will also need to establish a solid data infrastructure, according to Charoenwut, who says companies should start small and pace themselves.
“We think that biopharma companies do believe that digital twins could make a significant difference in their supply chain efficiency and resiliency. Many of them are probably building prototypes and proofs-of-concept to demonstrate the value and potential benefits, but then soon realize the digital data foundation gaps that need to be addressed in parallel in order to fully adopt this technology.
“As digital twins can vary in detail and complexity, companies should strategize digital twin adoption by starting with lower-complexity cases based on available digital data and progressively moving up the scale to gain greater precision and new capabilities. In other words, the implementation of digital twins should be viewed as an evolution rather than a breakthrough,” he says.
The post Supply Chain Digital Twins: An Evolution, Not a Breakthrough appeared first on GEN – Genetic Engineering and Biotechnology News.
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Two biotechs raise a combined $556M in latest spurt of IPOs

Seaport Therapeutics and Hemab Therapeutics on Thursday became the latest drugmakers to debut on Wall Street, continuing a stretch of large IPOs this year that collectively raised almost $3.2 billion.

Seaport Therapeutics and Hemab Therapeutics on Thursday became the latest drugmakers to debut on Wall Street, continuing a stretch of large IPOs this year that collectively raised almost $3.2 billion.
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STAT+: OxyContin maker Purdue Pharma set to dissolve after judge approves its criminal sentence
NEWARK, N.J. — OxyContin maker Purdue Pharma is set to be dissolved and replaced by a company focused on the public good by the week’s end, as a massive legal settlement resolving thousands of lawsuits takes effect.
A federal judge on Tuesday delivered a criminal sentence to the company to resolve a Department of Justice probe — a last necessary step to clear the way for the settlement.
U.S. District Judge Madeline Cox Arleo made her decision after listening to hours of impact statements from people who lost loved ones or struggled with addiction themselves and requested she reject the negotiated sentence. While she didn’t go that far, she said she sympathized with people who bore the brunt of an epidemic linked to more than 900,000 deaths in the U.S. since 1999.
NEWARK, N.J. — OxyContin maker Purdue Pharma is set to be dissolved and replaced by a company focused on the public good by the week’s end, as a massive legal settlement resolving thousands of lawsuits takes effect.
A federal judge on Tuesday delivered a criminal sentence to the company to resolve a Department of Justice probe — a last necessary step to clear the way for the settlement.
U.S. District Judge Madeline Cox Arleo made her decision after listening to hours of impact statements from people who lost loved ones or struggled with addiction themselves and requested she reject the negotiated sentence. While she didn’t go that far, she said she sympathized with people who bore the brunt of an epidemic linked to more than 900,000 deaths in the U.S. since 1999.
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Brain Glucose Levels Act as a Metabolic Switch for Myelin Formation
Scientists have long known that myelin doesn’t appear everywhere in the brain at once. Some regions myelinate early, others much later, and the timing shapes everything from motor development to cognitive maturation. What has remained elusive is why these regional differences emerge in the first place. A new study in Nature Neuroscience, titled “Glucose-dependent spatial and temporal modulation of oligodendrocyte progenitor cell proliferation via ACLY-regulated histone acetylation,” points to an unexpected driver: shifting glucose levels that act as a metabolic switch, telling progenitor cells when to divide and when to mature into myelin‑forming oligodendrocytes.
The work, led by researchers at the Advanced Science Research Center at the CUNY Graduate Center (CUNY ASRC), maps glucose distribution across the developing mouse brain and reveals that these spatial and temporal fluctuations are not just metabolic background noise. They are instructive signals. “Regions with high glucose levels exhibited greater OPC proliferation and histone acetylation than regions with low glucose,” the authors wrote in the paper’s abstract, suggesting glucose as a key regulator of oligodendrocyte progenitor cell (OPC) population dynamics.
Using MALDI imaging at the CUNY ASRC MALDI Imaging Core Facility, the team visualized glucose concentrations across brain regions during early development in mice. Areas rich in glucose contained actively dividing OPCs, while regions with lower glucose levels harbored cells beginning to differentiate into oligodendrocytes. This pattern suggested that glucose availability helps determine whether OPCs expand their numbers or transition toward myelin production.
“Our findings show that glucose is not just fuel for the brain, it’s also a signal for the cells to divide,” said lead author Sami Sauma, PhD, a postdoctoral researcher with the CUNY ASRC Neuroscience Initiative. “When glucose levels are high in a particular brain region, progenitors use it to drive proliferation. As glucose levels shift, the same cells switch gears and begin maturing.”
An enzyme, ATP‑citrate lyase (ACLY), which converts glucose‑derived citrate into acetyl‑CoA in the nucleus, is central to this process. This acetyl‑CoA fuels histone acetylation, activating genes required for cell proliferation. When the researchers deleted Acly in OPCs, the cells could no longer proliferate efficiently, leading to a temporary reduction in myelin due to decreased OPC numbers. Yet differentiation still occurred, thanks to a compensatory pathway: mature oligodendrocytes can generate acetyl‑CoA outside the nucleus from alternative fuels such as ketone bodies.
This metabolic flexibility proved more than a biochemical curiosity. When mice lacking ACLY in OPCs were placed on a ketogenic diet, their myelin deficits improved. “The same cell lineage interprets different metabolic signals at distinct stages of development,” said senior author Patrizia Casaccia, MD, PhD, founding director of the CUNY ASRC Neuroscience Initiative. “By understanding how glucose and alternative energy sources regulate proliferation and myelin formation, we are uncovering new metabolic strategies that could be harnessed to protect myelin in the developing brain.”
The developmental window examined in mice corresponds to roughly 32 to 40 weeks of human gestation—a period when premature infants are particularly vulnerable to white‑matter injury. The findings raise the possibility that metabolic support during this stage could help preserve the progenitor cells responsible for building myelin. They may also inform future approaches to repairing myelin in disorders such as multiple sclerosis.
The post Brain Glucose Levels Act as a Metabolic Switch for Myelin Formation appeared first on GEN – Genetic Engineering and Biotechnology News.
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