β-Cell Stress Pathways in Diabetes: Potential Targets for Therapy?
Bibliographic record
Abstract
Synthesis and release of insulin from β cells are essential for glucose homeostasis and overall metabolism. Insulin insufficiency (absolute or relative to insulin resistance) leads to the development of diabetes, which is a global epidemic affecting nearly 500 million people. Autoimmunity-mediated islet inflammation resulting in death of β cells is the major cause of insulin insufficiency in type 1 diabetes (T1D), whereas metabolic inflammation due to glucotoxicity and lipotoxicity is implicated in the progression of β-cell failure in type 2 diabetes (T2D). Oxidative stress, endoplasmic reticulum (ER) stress, mitochondrial dysfunction (1), and, more recently, senescence and dysfunctional autophagy have been identified as common to β-cell pathology of both T1D and T2D (2). The presence of these processes imposes stress on the β cells, which eventually fail to maintain the regulated insulin production, leading to the onset of diabetes. In a recent issue of Endocrinology, Kulkarni et al (2) reviewed major β-cell stress pathways involved in diabetes. Oxidative stress occurs due to imbalance between the formation and scavenging of reactive oxygen species (ROS). Physiological ROS production in mitochondria and peroxisomes during metabolic activity, hyperglycemia, and elevated free fatty acids trigger ROS formation. While ROS are important for cell physiology, excessive accumulation may cause widespread damage to cells and the progression of diabetes pathogenesis by activating extracellular signal-regulated kinase, and c-Jun N-terminal kinase–mediated β-cell apoptosis. Moreover, ROS can promote the production of the cytokines interleukin 6 and tumor necrosis factor α through the nuclear factor-κB and activator protein 1 pathway and induce inflammation in β cells (1). In turn, cytokines can produce ROS. Importantly, β cells are prone to oxidative damage due to weak antioxidant defense. Mitochondria are the primary site for ROS production and these organelles contain their own mitochondrial DNA (mtDNA). mtDNA is very susceptible to oxidative stress–induced mutation as it is not protected by histones and because mitochondrial DNA polymerase repair activity is low. Many reports in the literature indicate mitochondrial dysfunction as a major cause of hyperglycemia-mediated ROS generation through the electron transport chain, which triggers oxidative damage pathways (1). Another process described by Kulkarni et al is ER stress, which is a major contributor to β-cell dysfunction. ER is the key organelle that controls protein synthesis, folding, and overall quality. β Cells have widely distributed ER in their cytoplasm to meet the demand for insulin to maintain glucose homeostasis. ER stress is triggered by high insulin demands to compensate for insulin resistance and for the loss of β-cell mass. Glucotoxicity and lipotoxicity also cause β-cell ER stress (1). Misfolded proteins produced during ER stress can act as neoantigens that activate immune reactions in T1D. For survival during ER stress, cells initiate the unfolded protein response (UPR) pathway, which includes reducing protein synthesis, increasing the ER size, upregulation of chaperones to enhance protein folding, and activation of ER-associated degradation to increase unfolded protein clearance. During acute ER stress, UPR affords cytoprotection by activating ER resident sensors: activating transcription factor 6, inositol-requiring enzyme 1α, and protein kinase RNA-like endoplasmic reticulum kinase (PERK), which upregulates their downstream target genes leading to ER-associated degradation of defective proteins. However, chronic ER stress results in UPR sensor–mediated cellular apoptosis through the activation of proapoptotic genes and their downstream factors. The PERK pathway is shared between ER stress and the integrated stress response (ISR) that can be initiated by viral infections and nutrient deprivation. Not much is known about ISR and diabetes, although some viral infections have been implicated in the pathogenesis of T1D. Mitochondria and ER are tightly interconnected through mitochondria-associated ER membranes (MAMs). As MAMs allow the exchange of metabolites between both organelles to maintain homeostasis, each one is affected by the oxidative stress of the other. Oxidative stress can induce ER stress and vice versa and hyperglycemia, as mentioned above, can induce both (2, 3). If the β-cell stress remains unmitigated, UPR-mediated irreparable cellular damage leads to cellular senescence. Senescent cells are resistant to apoptosis and secrete mediators that promote immune cell migration to the islets in both T1D and T2D leading to insulin insufficiency (4, 5). Kulkarni et al also reviewed the role of autophagy in β-cell physiology. In general, autophagy plays a crucial role in maintaining cellular homeostasis through the self-digestion of cellular substances or proteins generated by stress. Mitochondrial ROS and misfolded protein in the ER act as modulators of autophagy activation that alleviates β-cell ER and oxidative stress. In both T1D and T2D, autophagy is dysfunctional (6, 7). All of these processes (oxidative stress, ER stress, senescence, dysfunctional autophagy) are interconnected as Kulkarni et al's review indicates, and are associated with inflammation, initiated in T1D by autoimmunity and metabolically mediated in T2D. Animal models have greatly contributed to the understanding of these mechanisms of β-cell dysfunction and loss that have increased our knowledge of the pathogenesis of both T1D and T2D. So far, however, this knowledge has not been translated into effective treatment, as general anti-inflammatory strategies have yielded marginal results in both T1D and T2D (8) whereas antioxidant and anti-ER stress agents effective in animals have failed in humans. Presumably, combined treatment and intervention in very early stages or preventive treatment is required. It is also possible that pathogenesis-based treatment is best effective only when key initiating factors of β-cell dysfunction and loss are addressed, such as cytotoxic T cells in T1D via teplizumab and nutrient overload via bariatric surgery in obesity-associated T2D. Nevertheless, limiting β-cell dysfunction and loss, however initiated, via directly addressing β-cell stress could also be of therapeutic value and the stress pathways elucidated by Kulkarni et al's interesting and comprehensive review could provide targets for future treatments. Research on β cells in the Giacca laboratory is supported by the Canadian Institutes of Health Research (Grant # 507485 to A.G.). S.M.N.R was supported by a Banting and Best Diabetes Centre-Novo Nordisk Scholarship. The authors have nothing to disclose. Data sharing does not apply to this article as no data sets were generated or analyzed during the present study. endoplasmic reticulum integrated stress response mitochondria-associated ER membrane mitochondrial DNA PKR-like endoplasmic reticulum kinase reactive oxygen species type 1 diabetes type 2 diabetes unfolded protein response
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.090 | 0.034 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".