No ‘one size fits all’ treatment for Type 1 Diabetes, study finds

Researchers: "We have miscalculated for decades – half of an insulin dose may not work as expected"

A new study has found that factors beyond carbohydrates substantially influence blood glucose levels, meaning current automated insulin delivery systems miss vital information required for glucose regulation.

A team of researchers from the University of Bristol analysing automated insulin delivery data from people with Type 1 Diabetes (T1D) discovered that unexpected patterns in insulin needs are just as common as well-established ones.

The study, published today in JMIRx Med, aimed to identify patterns in insulin needs changes and analyse how frequently these occur in people with T1D who use OpenAPS, a state-of-the-art automated insulin delivery system (AID).

Lead author Isabella Degen from Bristol’s Faculty of Science and Engineering explained: “The results support our hypothesis that factors beyond carbohydrates play a substantial role in euglycemia – when blood glucose levels are within the standard range.

“However, without measurable information about these factors, AID systems are left to adjust insulin cautiously with the effect of blood glucose levels becoming too low or high.”

Type 1 Diabetes is a chronic condition in which the body produces too little insulin, a hormone that regulates blood glucose.

The principal treatment for T1D is insulin that is injected or pumped. The amount and timing of insulin must be skilfully matched to carbohydrate intake to avoid increased blood glucose levels. Beyond carbohydrates, other factors such as exercise, hormones, and stress impact insulin needs. However, how often these factors cause significant unexpected effects on blood glucose levels has been little explored, meaning that despite all advances, insulin dosing remains a complex task that can go wrong and result in blood glucose levels outside the range that protects people with T1D from adverse health effects.

The findings highlight the complexity of glucose regulation in T1D and demonstrate the heterogeneity in insulin needs among people with T1D, underlining the need for personalised treatment approaches.

For factors beyond carbohydrates to become more systematically included in clinical practice, scientists need to find a way to measure and quantify their impact and use this information in insulin dosing. This could also aid more accurate blood glucose forecasting, which the study showed is not consistently possible from information about insulin and carbohydrates alone.

Isabella added: “Our study highlights that managing Type 1 Diabetes is far more complex than counting carbs.

“The richness of insights that can be gained from studying automated insulin delivery data is worth the effort it takes to work with this type of real-life data.

“What surprised us most was the sheer variety of patterns we observed, even within our relatively small and homogenous group of participants.

“It’s clear that when it comes to diabetes management, one size doesn’t fit all.

“We hope our results inspire further research into lesser-explored factors that influence insulin needs to improve insulin dosing.”

The team is now advancing time series pattern-finding methods to handle real-life medical data’s diverse and complex nature, including irregular sampling and missing data. Their current focus is on developing innovative segmentation and clustering techniques for multivariate time series data tailored to uncover more granular patterns and handle the challenges AID data poses.

To support this future research, the team seeks long-term, open-access AID datasets that include a wide range of sensor measurements of possible factors and a diverse cohort of people with T1D. Additionally, they aim to collaborate with time series and machine learning experts to address technical challenges such as handling irregularly sampled data with varying intervals between variables and uncovering causalities behind observed patterns, ultimately driving innovations in personalised care.

Cellular traffic congestion in chronic diseases like diabetes and inflammatory disorders suggests new therapeutic targets

Proteolethargy

Chronic diseases such as diabetes are on the rise and are costly and challenging to treat. Whitehead Institute Member Richard Young and colleagues have discovered a common denominator driving these diverse diseases, which may prove to be a promising therapeutic target: Proteolethargy, or reduced protein mobility, in the presence of oxidative stress.

Jennifer Cook-Chrysos/Whitehead Institute

Chronic diseases, such as type 2 diabetes and inflammatory disorders like rheumatoid arthritis, significantly impact humanity. They are among the leading causes of disease burden and deaths worldwide, posing both physical and economic challenges. Furthermore, the number of individuals affected by these diseases is rising.

Treating chronic diseases has proven challenging because they do not have a single, straightforward cause, such as a specific gene mutation that a treatment could target. However, research conducted by Richard Young, a member of the Whitehead Institute, and his colleagues, published in the journal Cell on November 27, reveals that many chronic diseases may share a common factor driving their dysfunction: reduced protein mobility. This means that approximately half of the proteins active in cells tend to slow down their movement when the cells are in a chronic disease state, which diminishes the proteins’ functions. The researchers’ findings suggest that protein mobility could be a crucial factor in the decreased cellular function observed in chronic diseases, making it a promising target for therapy.

In this paper, Young and his colleagues, including postdoc Alessandra Dall’Agnese, graduate students Shannon Moreno and Ming Zheng, and research scientist Tong Ihn Lee, describe their discovery of a shared mobility defect they call proteolethargy. They explain the underlying causes of this defect, how it leads to cell dysfunction, and propose a new therapeutic hypothesis for treating chronic diseases.

“I’m excited about the potential impact of this research on patients,” says Dall’Agnese. “I hope this leads to the development of a new class of drugs that can restore protein mobility, which could help individuals with various diseases that share this common mechanism.”

According to Lee, this project involved biologists, physicists, chemists, computer scientists, and physician-scientists. “Bringing together this diverse expertise is a strength of the Young lab. By examining the problem from various perspectives, we gained valuable insights into how this mechanism might function and its potential to reshape our understanding of the pathology of chronic diseases.”

Commuter delays cause work stoppages in the cell

How do proteins moving slowly through a cell lead to significant cellular dysfunction? Dall’Agnese explains that every cell functions like a tiny city, with proteins acting as the workers who keep everything running smoothly. Proteins must travel through dense traffic within the cell, moving from where they are produced to where they are needed. The quicker their commute, the more efficient their work becomes. Now, imagine a city that starts experiencing traffic jams on all its roads. Stores may not open on time, groceries could get stuck in transit, and meetings might be postponed. Essentially, all operations within the city slow down.

The slowdown of cellular operations in cells with reduced protein mobility follows a similar pattern. Normally, most proteins move rapidly throughout the cell, colliding with other molecules until they find the one they need to interact with or affect. When a protein moves more slowly, it encounters fewer other molecules, making it less likely to perform its function effectively. Young and colleagues discovered that these slowdowns in protein movement result in measurable decreases in the proteins’ functional output. When numerous proteins are unable to complete their tasks on time, cells begin to face various issues, which are commonly observed in chronic diseases.

Discovering the protein mobility problem

Young and his colleagues first suspected that cells affected by chronic diseases might have issues with protein mobility after observing changes in the behaviour of the insulin receptor. The insulin receptor is a signalling protein that reacts to insulin’s presence, prompting cells to absorb sugar from the bloodstream. In individuals with diabetes, cells become less responsive to insulin, a condition known as insulin resistance, which leads to elevated blood sugar levels. In research published in Nature Communications in 2022, Young and his colleagues reported that the mobility of insulin receptors could be significant in the context of diabetes.

Knowing that many cellular functions are altered in diabetes, the researchers considered the possibility that altered protein mobility might somehow affect many proteins in cells. To test this hypothesis, they studied proteins involved in a broad range of cellular functions, including MED1, a protein involved in gene expression; HP1α, a protein involved in gene silencing; FIB1, a protein involved in the production of ribosomes; and SRSF2, a protein involved in splicing of messenger RNA. They used single-molecule tracking and other methods to measure how each of those proteins moves in healthy cells and in cells in disease states. All but one of the proteins showed reduced mobility (about 20-35%) in the disease cells.

“I’m excited that we were able to transfer physics-based insight and methodology, which are commonly used to understand the single-molecule processes like gene transcription in normal cells, to a disease context and show that they can be used to uncover unexpected mechanisms of disease,” Zheng says. “This work shows how the random walk of proteins in cells is linked to disease pathology.”

Moreno concurs: “In school, we’re taught to consider changes in protein structure or DNA sequences when looking for causes of disease, but we’ve demonstrated that those are not the only contributing factors. If you only consider a static picture of a protein or a cell, you miss out on discovering these changes that only appear when molecules are in motion.”

Can’t commute across the cell, I’m all tied up right now

Next, the researchers needed to determine what was causing the proteins to slow down. They suspected that the defect had to do with an increase in cells of the level of reactive oxygen species (ROS), molecules that are highly prone to interfering with other molecules and their chemical reactions. Many types of chronic-disease-associated triggers, such as higher sugar or fat levels, certain toxins, and inflammatory signals, lead to an increase in ROS, also known as an increase in oxidative stress. The researchers measured the mobility of the proteins again in cells that had high levels of ROS and were not otherwise in a disease state and saw comparable mobility defects, suggesting that oxidative stress was to blame for the protein mobility defect.

The final part of the puzzle was why some, but not all, proteins slow down in the presence of ROS. SRSF2 was the only one of the proteins that was unaffected in the experiments, and it had one clear difference from the others: its surface did not contain any cysteines, an amino acid building block of many proteins. Cysteines are especially susceptible to interference from ROS because it will cause them to bond with other cysteines. When this bonding occurs between two protein molecules, it slows them down because the two proteins cannot move through the cell as quickly as either protein alone.

About half of the proteins in our cells contain surface cysteines, so this single protein mobility defect can impact many different cellular pathways. This makes sense when one considers the diversity of dysfunctions that appear in the cells of people with chronic diseases: dysfunctions in cell signalling, metabolic processes, gene expression and gene silencing, and more. All of these processes rely on the efficient functioning of proteins—including the diverse proteins studied by the researchers. Young and colleagues performed several experiments to confirm that decreased protein mobility does, in fact, decrease a protein’s function. For example, they found that when an insulin receptor experiences decreased mobility, it acts less efficiently on IRS1, a molecule to which it usually adds a phosphate group.

From understanding a mechanism to treating a disease

Discovering that decreased protein mobility in the presence of oxidative stress could be driving many of the symptoms of chronic disease provides opportunities to develop therapies to rescue protein mobility. In the course of their experiments, the researchers treated cells with an antioxidant drug called N—acetyl cysteine—something that reduces ROS—and saw that this partially restored protein mobility.

The researchers are pursuing a variety of follow-ups to this work, including the search for drugs that safely and efficiently reduce ROS and restore protein mobility. They developed an assay that can be used to screen drugs to see if they restore protein mobility by comparing each drug’s effect on a simple biomarker with surface cysteines to one without. They are also looking into other diseases that may involve protein mobility, and are exploring the role of reduced protein mobility in aging.

“The complex biology of chronic diseases has made it challenging to come up with effective therapeutic hypotheses,” says Young, who is also a professor of biology at the Massachusetts Institute of Technology. “The discovery that diverse disease-associated stimuli all induce a common feature, proteolethargy, and that this feature could contribute to much of the dysregulation that we see in chronic disease, is something that I hope will be a real game changer for developing drugs that work across the spectrum of chronic diseases.”

New procedure may eliminate insulin dependency in type 2 diabetes

 a promising new treatment strategy for type 2 diabetes (T2D) that could significantly reduce or even eliminate the need for insulin therapy.
A promising new treatment strategy for type 2 diabetes (T2D) that could significantly reduce or even eliminate the need for insulin therapy.

Groundbreaking research presented at UEG Week 2024 reveals a promising new treatment for type 2 diabetes (T2D) that could significantly reduce or eliminate the need for insulin therapy.

This innovative approach combines a novel procedure called ReCET (Re-Cellularization via Electroporation Therapy) with semaglutide, resulting in the elimination of insulin therapy for 86% of patients.

Globally, type 2 diabetes (T2D) affects 422 million people, and obesity is recognized as a significant risk factor. While insulin therapy is commonly used to manage blood sugar levels in T2D patients, it can lead to side effects such as weight gain and further complicate diabetes management.

In the initial human trial, 14 participants between the ages of 28 and 75, with body mass indices ranging from 24 to 40 kg/m², underwent the ReCET procedure while under deep sedation. This treatment aims to enhance the body’s responsiveness to its own insulin. After the procedure, the participants followed a two-week isocaloric liquid diet, and then the dosage of semaglutide was gradually increased to 1mg per week.

At the 6- and 12-month follow-up, 86% of participants (12 out of 14) no longer needed insulin therapy, and this positive outcome persisted through the 24-month follow-up. During this time, all patients were able to maintain glycemic control, with HbA1c levels staying below 7.5%.

The maximum dose of semaglutide was well-tolerated by 93% of participants, one individual could not increase to the maximum dose due to nausea. All patients successfully completed the ReCET procedure, and no serious adverse effects were reported.

Dr Celine Busch, lead author of the study, commented, “These findings are very encouraging, suggesting that ReCET is a safe and feasible procedure that, when combined with semaglutide, can effectively eliminate the need for insulin therapy.”

“Unlike drug therapy, which requires daily medication adherence, ReCET is compliance-free, addressing the critical issue of ongoing patient adherence in the management of T2D. In addition, the treatment is disease-modifying: it improves the patient’s sensitivity to their own (endogenous) insulin, tackling the root cause of the disease, as opposed to currently available drug therapies, that are at best disease-controlling.”

Looking ahead, the researchers plan to conduct larger randomised controlled trials to further validate these findings. Dr Busch added, “We are currently conducting the EMINENT-2 trial with the same inclusion and exclusion criteria and administration of semaglutide, but with either a sham procedure or ReCET. This study will also include mechanistic assessments to evaluate the underlying mechanism of ReCET.”

A new injectable to prevent and treat hypoglycemia

A new injectable to prevent and treat hypoglycemia

Encapsulated glucagon for insulin-induced hypoglycemia dissolves when sugar levels get seriously low (less than 60 milligrams per deciliter, mg/dL), releasing the hormone into the bloodstream and triggering the liver to release glucose. The micelles remain intact at normal sugar levels (more than 100 mg/dL), keeping glucagon inactive. Credit Adapted from ACS Central Science 2024, DOI: 10.1021/acscentsci.4c00937

People with diabetes take insulin to lower high blood sugar. However, if glucose levels plunge too low — from taking too much insulin or not eating enough sugar — people can experience hypoglycemia, which can lead to dizziness, cognitive impairment, seizures or comas. Researchers in ACS Central Science report encapsulating the hormone glucagon to prevent and treat this condition. In mouse trials, the nanocapsules activated when blood sugar levels dropped dangerously low and quickly restored glucose levels.

Glucagon is a hormone that signals the liver to release glucose into the bloodstream. It’s typically given by injection to counteract severe hypoglycemia in people who have diabetes. While an emergency glucagon injection can correct blood sugar levels in about 30 minutes, formulations can be unstable and insoluble in water. Sometimes, the hormone quickly breaks down when mixed for injections and clumps together to form toxic fibrils. Additionally, many hypoglycemic episodes occur at night, when people with diabetes aren’t likely to test their blood sugar. To improve commercial glucagon stability and prevent hypoglycemia, Andrea Hevener and Heather Maynard looked to micelles: nanoscale, soap-like bubbles that can be customized to assemble or disassemble in different environments and are used for drug delivery. They developed a glucose-responsive micelle that encapsulates and protects glucagon in the bloodstream when sugar levels are normal but dissolve if levels drop dangerously low. To prevent hypoglycemia, the micelles could be injected ahead of time and circulate in the bloodstream until they are needed.

In lab experiments, the researchers observed that the micelles disassembled only in liquid environments mimicking hypoglycemic conditions in human and mice bodies: less than 60 milligrams of glucose per deciliter. Next, when mice experiencing insulin-induced hypoglycemia received an injection of the specialized micelles, they achieved normal blood sugar levels within 40 minutes. The team also determined that glucagon-packed micelles stayed intact in mice and didn’t release the hormone unless blood glucose levels fell below the clinical threshold for severe hypoglycemia. From additional toxicity and biosafety studies in mice, the researchers note that empty micelles didn’t trigger an immune response or induce organ damage.

How Sugar & Processed Foods Impact Your Health

“In this episode, my guest is Dr Robert Lustig, M.D., a neuroendocrinologist and professor of paediatrics at the University of California, San Francisco (UCSF). He is also a bestselling author on nutrition and metabolic health. We discuss the “calories in calories out” (CICO) model of metabolism and weight regulation and how specific macronutrients (protein, fat, carbohydrates), fibre, and sugar can modify the CICO equation. We cover the impact of different types of sugars, particularly fructose, sugars found in liquid form, taste intensity, and other factors on insulin levels, liver, kidney, and metabolic health. We also explore how fructose in non-fruit sources can be addictive, similar to drugs of abuse, and how sugar alters brain circuits related to food cravings and satisfaction. Additionally, we discuss the role of sugar in childhood and adult obesity, gut health and disease, and mental health. Furthermore, we delve into how the food industry uses refined sugars to create pseudo foods and their effects on the brain and body. This episode provides actionable information about sugar and metabolism, weight control, brain health, and body composition. It should be of interest to anyone seeking to understand how specific food choices impact the immediate and long-term health of the brain and body.”