Immune cells and their inflammatory mediators modify β cells and cause checkpoint inhibitor-induced diabetes

The impact of apelin-13 on cisplatin-induced endocrine pancreas damage in rats: an in vivo study

Apelin-13 is a peptide hormone that regulates pancreatic endocrine functions, and its benefits on the endocrine pancreas are of interest. This study aims to investigate the potential protective effects of apelin-13 in cisplatin-induced endocrine pancreatic damage. Twenty-four rats were divided into four groups: control, apelin-13, cisplatin, and cisplatin + apelin-13. Caspase-3, TUNEL, and Ki-67 immunohistochemical staining were used as markers of apoptosis and mitosis. NF-κB/p65 and TNFα were used to show inflammation. β-cells and α-cells were also evaluated with insulin and glucagon staining in the microscopic examination. Pancreatic tissue was subjected to biochemical analyses of glutathione (GSH) and malondialdehyde (MDA). Apelin-13 ameliorated cisplatin-induced damage in the islets of Langerhans. The immunopositivity of apelin-13 on β-cells and α-cells was found to be increased compared to the cisplatin group (p = 0.001, p = 0.001). Mitosis and apoptosis were significantly higher in the cisplatin group (p = 0.001). Apelin-13 reduced TNFα, NF-κB/p65 positivity, and apoptosis caused by cisplatin (p = 0.001, p = 0.001, p = 0.001). While cisplatin caused a significant increase in MDA levels (p = 0.001), apelin caused a significant decrease in MDA levels (p = 0.001). The results demonstrated a significant decrease in pancreatic tissue GSH levels following cisplatin treatment (p = 0.001). Nevertheless, apelin-13 significantly enhanced cisplatin-induced GSH reduction (p = 0.001). On the other hand, the serum glucose level, which was measured as 18.7 ± 2.5 mmol/L in the cisplatin group, decreased to 13.8 ± 0.7 mmol/L in the cisplatin + apelin-13 group (p = 0.001). The study shows that apelin-13 ameliorated cisplatin-induced endocrine pancreas damage by reducing oxidative stress and preventing apoptosis.

Rare, late onset of immune checkpoint inhibitor-induced type 1 diabetes mellitus in a patient with small-cell lung cancer treated with serplulimab: a case report and review of the literature

BACKGROUND

As a newly approved immune checkpoint inhibitor in China, serplulimab has been widely used in the immunotherapy of tumors. However, the immune-related adverse events of immune checkpoint inhibitors should not be ignored. Although immune checkpoint inhibitor-induced type 1 diabetes mellitus is a rare complication, it may cause diabetic ketoacidosis and endanger the lives of patients.

CASE PRESENTATION

This case report describes a 55-year-old male of Han nationality from China diagnosed with small-cell lung cancer with multiple metastases who experienced an adverse event of type 1 diabetes mellitus 68 weeks after receiving serplulimab therapy. The patient presented with typical symptoms of diabetic ketoacidosis, including severe thirst, nausea, vomiting, deep respirations, and stupor. Despite the absence of diabetes-related autoantibodies, the patient had extremely low levels of insulin and C-peptide release. Other potential causes of diabetes were ruled out, confirming the condition as serplulimab-induced immune checkpoint inhibitor-induced type 1 diabetes mellitus. After aggressive treatment to correct diabetic ketoacidosis, the patient's blood glucose levels stabilized and symptoms of diabetes improved significantly, although long-term insulin maintenance therapy was necessary.

CONCLUSION

This case highlights a rare, late-onset adverse event of immune checkpoint inhibitor-induced type 1 diabetes mellitus that may be overlooked during treatment with serplulimab. The monitoring of blood glucose levels and early signs and symptoms of diabetes cannot be relaxed at the late stage of treatment, even if patients do not have elevated blood glucose levels before and during the middle stage of treatment.

Laser-Activatable In Situ Vaccine Enhances Cancer-Immunity Cycle

The immune response in cancer reflects a series of carefully regulated events; however, current tumor immunotherapies typically address a single key aspect to enhance anti-tumor immunity. In the present study, a nanoplatform (Fe3 O4 @IR820@CpG)-based immunotherapy strategy that targets the multiple key steps in cancer-immunity cycle is developed: 1) promotes the release of tumor-derived proteins (TDPs), including tumor-associated antigens and pro-immunostimulatory factors), in addition to the direct killing effect, by photothermal (PTT) and photodynamic therapy (PDT); 2) captures the released TDPs and delivers them, together with CpG (a Toll-like receptor 9 agonist) to antigen-presenting cells (APCs) to promote antigen presentation and T cell activation; 3) enhances the tumor-killing ability of T cells by combining with anti-programmed death ligand 1 antibody (α-PD-L1), which collectively advances the outstanding of the anti-tumor effects on colorectal, liver and breast cancers. The broad-spectrum anti-tumor activity of Fe3 O4 @IR820@CpG with α-PD-L1 demonstrates that optimally manipulating anti-cancer immunity not singly but as a group provides promising clinical strategies.

Successful treatment of nivolumab and ipilimumab triggered type 1 diabetes by using sodium-glucose transporter 2 inhibitor: a case report and systematic review

Objective

Checkpoint inhibitors (CPIs) can trigger complications related to the autoimmune process such as CPI-triggered diabetes mellitus. The typical treatment for CPI-triggered diabetes is insulin, but a detailed therapeutic method has not yet been established. To prevent severe symptoms and mortality of diabetic ketoacidosis in advanced-stage cancer patients, the establishment of effective treatment of CPI-triggered diabetes, other than insulin therapy, is required.

Methods

We present a case of a 76-year-old man with CPI-triggered diabetes who was treated with nivolumab and ipilimumab for lung cancer. We also conducted a systematic review of 48 case reports of type 1 diabetes associated with nivolumab and ipilimumab therapy before June 2023.

Results

The patient's hyperglycemia was not sufficiently controlled by insulin therapy, and after the remission of ketoacidosis, the addition of a sodium-glucose transporter (SGLT) 2 inhibitor, dapagliflozin, improved glycemic control. Most of the reported nivolumab/ipilimumab-induced type 1 diabetes was treatable with insulin, but very few cases required additional oral anti-diabetic agents to obtain good glucose control.

Conclusion

Although SGLT2 inhibitors have been reported to have adverse effects on ketoacidosis, recent studies indicate that the occurrence of ketoacidosis is relatively rare. Considering the pathological mechanism of CPI-triggered diabetes, SGLT2 inhibitors could be an effective choice if they are administered while carefully monitoring the patient's ketoacidosis.

Immune-Checkpoint Inhibitors-Induced Type 1 Diabetes Mellitus: From Its Molecular Mechanisms to Clinical Practice

With the increasing use of immune-checkpoint inhibitors (ICIs), such as anti-cytotoxic T lymphocyte-associated antigen 4 (CTLA-4) and anti-programmed cell death-1 (PD-1), for the treatment of malignancies, cases of ICI-induced type 1 diabetes mellitus (ICI-T1DM) have been reported globally. This review focuses on the features and pathogenesis of this disease. T1DM is an immune-related adverse event that occurs following the administration of anti-PD-1 or anti-programmed death ligand-1 (PDL1) alone or in combination with anti-CTLA-4. More than half of the reported cases presented as abrupt-onset diabetic ketoacidosis. The primary mechanism of ICI-T1DM is T-cell stimulation, which results from the loss of interaction between PD-1 and PD-L1 in pancreatic islet. The similarities and differences between ICI-T1DM and classical T1DM may provide insights into this disease entity. ICI-T1DM is a rare but often life-threatening medical emergency that healthcare professionals and patients need to be aware of. Early detection of and screening for this disease is imperative. At present, the only known treatment for ICI-T1DM is insulin injection. Further research into the mechanisms and risk factors associated with ICI-T1DM development may contribute to a better understanding of this disease entity and the identification of possible preventive strategies.

Immune checkpoint inhibitor- and phosphatidylinositol-3-kinase inhibitor-related diabetes induced by antineoplastic drugs: two case reports and a literature review

Immune checkpoint inhibitor (ICI)- and phosphatidylinositol-3-kinase inhibitor (PI3Ki)-related diabetes mellitus are common side effects of anti-tumor drug use that present mainly as hyperglycemia. Here, we present two case reports of diabetes mellitus caused by the use of tremelimumab and apalutamide, respectively, in cancer treatment, and a comprehensive, comparative review of the literature on these forms of diabetes. Case 1 presented with diabetic ketoacidosis and was diagnosed with ICI-related diabetes mellitus and treated with insulin. Case 2 was diagnosed with PI3Ki-related diabetes mellitus, and her blood glucose level returned to normal with the use of metformin and dapagliflozin. We systematically searched the PubMed database for articles on ICI- and PI3Ki-related diabetes mellitus and characterized the differences in clinical features and treatment between these two forms of diabetes.

Stocking the toolbox-Using preclinical models to understand the development and treatment of immune checkpoint inhibitor-induced immune-related adverse events

Cancer patients treated with immune checkpoint inhibitors (ICIs) are susceptible to a broad and variable array of immune-related adverse events (irAEs). With increasing clinical use of ICIs, defining the mechanism for irAE development is more critical than ever. However, it currently remains challenging to predict when these irAEs occur and which organ may be affected, and for many of the more severe irAEs, inaccessibility to the tissue site hampers mechanistic insight. This lack of understanding of irAE development in the clinical setting emphasizes the need for greater use of preclinical models that allow for improved prediction of biomarkers for ICI-initiated irAEs or that validate treatment options that inhibit irAEs without hampering the anti-tumor immune response. Here, we discuss the utility of preclinical models, ranging from exploring databases to in vivo animal models, focusing on where they are most useful and where they could be improved.

Immune-related adverse events after immune check point inhibitors: Understanding the intersection with autoimmunity

Immune checkpoint inhibitor therapies act through blockade of inhibitory molecules involved in the regulation of T cells, thus releasing tumor specific T cells to destroy their tumor targets. However, immune checkpoint inhibitors (ICI) can also lead to a breach in self-tolerance resulting in immune-related adverse events (irAEs) that include tissue-specific autoimmunity. This review addresses the question of whether the mechanisms that drive ICI-induced irAEs are shared or distinct with those driving spontaneous autoimmunity, focusing on ICI-induced diabetes, ICI-induced arthritis, and ICI-induced thyroiditis due to the wealth of knowledge about the development of autoimmunity in type 1 diabetes, rheumatoid arthritis, and Hashimoto's thyroiditis. It reviews current knowledge about role of genetics and autoantibodies in the development of ICI-induced irAEs and presents new studies utilizing single-cell omics approaches to identify T-cell signatures associated with ICI-induced irAEs. Collectively, these studies indicate that there are similarities and differences between ICI-induced irAEs and autoimmune disease and that studying them in parallel will provide important insight into the mechanisms critical for maintaining immune tolerance.

Multiscale geometric and topological analyses for characterizing and predicting immune responses from single cell data

Single cell genomics has revolutionized our ability to map immune heterogeneity and responses. With the influx of large-scale data sets from diverse modalities, the resolution achieved has supported the long-held notion that immune cells are naturally organized into hierarchical relationships, characterized at multiple levels. Such a multigranular structure corresponds to key geometric and topological features. Given that differences between an effective and ineffective immunological response may not be found at one level, there is vested interest in characterizing and predicting outcomes from such features. In this review, we highlight single cell methods and principles for learning geometric and topological properties of data at multiple scales, discussing their contributions to immunology. Ultimately, multiscale approaches go beyond classical clustering, revealing a more comprehensive picture of cellular heterogeneity.

Incidence of Diabetes Mellitus in patients treated with immune checkpoint inhibitors (ICI) therapy - A Comprehensive Cancer Center experience

BACKGROUND

Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment and more patients are receiving ICIs than before. Although this has improved cancer care but so has the increase in the incidence of immune-related adverse events (irAEs) including endocrinopathies. ICI-induced diabetes mellitus (DM) is a rare irAE with an approximate incidence of 1%. Due to paucity of data in literature about ICI-induced DM, we conducted a study to report the incidence and characteristics of new onset and worsening of DM in patients treated with ICIs.

METHODS

We conducted a retrospective review of patients who received ICIs during 10-year period. We identified patients with newly diagnosed DM and worsening of preexisting DM.

FINDINGS

Among 2,477 patients who received one or multiple ICIs, 14 patients developed new onset DM and 11 patients experienced worsening of pre-existing DM. Median time to new onset or worsening DM from ICI treatment initiation was ∼12 weeks. Median hemoglobin A1c was 6·2% at baseline and 8·5% at the onset of ICI-induced DM. Seven patients presented with diabetes ketoacidosis (DKA), all in the new onset group. (p= 0·02) No significant difference was observed between two groups regarding personal history of autoimmune disorder or family history of DM. (p>0·05) Positive autoantibodies were found in three patients [two with Glutamic Acid Decarboxylase (GAD65) antibodies and one with insulin autoantibodies (IAA)].

INTERPRETATION

The incidence of new onset and worsening DM in patients treated with ICIs was 1·01%.

Risk Factors and Characteristics of Checkpoint Inhibitor-Associated Autoimmune Diabetes Mellitus (CIADM): A Systematic Review and Delineation From Type 1 Diabetes

BACKGROUND

Checkpoint inhibitor-associated autoimmune diabetes mellitus (CIADM) is a distinct form of autoimmune diabetes that is a rare complication of immune checkpoint inhibitor therapy. Data regarding CIADM are limited.

PURPOSE

To systematically review available evidence to identify presentation characteristics and risk factors for early or severe presentations of adult patients with CIADM.

DATA SOURCES

MEDLINE and PubMed databases were reviewed.

STUDY SELECTION

English full text articles from 2014 to April 2022 were identified with a predefined search strategy. Patients meeting diagnostic criteria for CIADM with evidence of hyperglycemia (blood glucose level >11 mmol/L or HbA1c ≥6.5%) and insulin deficiency (C-peptide <0.4 nmol/L and/or diabetic ketoacidosis [DKA]) were included for analysis.

DATA EXTRACTION

With the search strategy we identified 1,206 articles. From 146 articles, 278 patients were labeled with "CIADM," with 192 patients meeting our diagnostic criteria and included in analysis.

DATA SYNTHESIS

Mean ± SD age was 63.4 ± 12.4 years. All but one patient (99.5%) had prior exposure to either anti-PD1 or anti-PD-L1 therapy. Of the 91 patients tested (47.3%), 59.3% had susceptibility haplotypes for type 1 diabetes (T1D). Median time to CIADM onset was 12 weeks (interquartile range 6-24). DKA occurred in 69.7%, and initial C-peptide was low in 91.6%. T1D autoantibodies were present in 40.4% (73 of 179) and were significantly associated with DKA (P = 0.0009) and earlier time to CIADM onset (P = 0.02).

LIMITATIONS

Reporting of follow-up data, lipase, and HLA haplotyping was limited.

CONCLUSIONS

CIADM commonly presents in DKA. While T1D autoantibodies are only positive in 40.4%, they associate with earlier, more severe presentations.

Germline genetic variants are associated with development of insulin-dependent diabetes in cancer patients treated with immune checkpoint inhibitors

BACKGROUND

Immune checkpoint inhibitors (ICIs) have dramatically improved survival in patients with cancer but are often accompanied by severe immune-related adverse events (irAEs), which can sometimes be irreversible. Insulin-dependent diabetes is a rare, but life-altering irAE. Our purpose was to determine whether recurrent somatic or germline mutations are observed in patients who develop insulin-dependent diabetes as an irAE.

METHODS

We performed RNA and whole exome sequencing on tumors from 13 patients who developed diabetes due to ICI exposure (ICI-induced diabetes mellitus, ICI-DM) compared with control patients who did not develop diabetes.

RESULTS

In tumors from ICI-DM patients, we did not find differences in expression of conventional type 1 diabetes autoantigens, but we did observe significant overexpression of ORM1, PLG, and G6PC, all of which have been implicated in type 1 diabetes or are related to pancreas and islet cell function. Interestingly, we observed a missense mutation in NLRC5 in tumors of 9 of the 13 ICI-DM patients that was not observed in the control patients treated with the same drugs for the same cancers. Germline DNA from the ICI-DM patients was sequenced; all NLRC5 mutations were germline. The prevalence of NLRC5 germline variants was significantly greater than the general population (p=5.98×10^-6). Although NLRC5 is implicated in development of type 1 diabetes, germline NLRC5 mutations were not found in public databases from patients with type 1 diabetes, suggesting a different mechanism of insulin-dependent diabetes in immunotherapy-treated patients with cancer.

CONCLUSIONS

Validation of the NLRC5 mutation as a potential predictive biomarker is warranted, as it might improve patient selection for treatment regimens. Furthermore, this genetic alteration suggests potential mechanisms of islet cell destruction in the setting of checkpoint inhibitor therapy.

Pancreatic Islet Cells Response to IFNγ Relies on Their Spatial Location within an Islet

Type 1 diabetes (T1D) is an auto-immune disease characterized by the progressive destruction of insulin-producing pancreatic beta cells. While beta cells are the target of the immune attack, the other islet endocrine cells, namely the alpha and delta cells, can also be affected by the inflammatory milieu. Here, using a flow cytometry-based strategy, we compared the impact of IFNγ, one of the main cytokines involved in T1D, on the three endocrine cell subsets isolated from C57BL/6 mouse islets. RNA-seq analyses revealed that alpha and delta cells exposed in vitro to IFNγ display a transcriptomic profile very similar to that of beta cells, with an increased expression of inflammation key genes such as MHC class I molecules, the CXCL10 chemokine and the programmed death-ligand 1 (PD-L1), three hallmarks of IFNγ signaling. Interestingly, at low IFNγ concentration, we observed two beta cell populations (responders and non-responders) based on PD-L1 protein expression. Our data indicate that this differential sensitivity relies on the location of the cells within the islet rather than on the existence of two different beta cells subsets. The same findings were corroborated by the in vivo analysis of pancreatic islets from the non-obese diabetic mouse model of T1D, showing more intense PD-L1 staining on endocrine cells close to immune infiltrate. Collectively, our work demonstrates that alpha and delta cells are as sensitive as beta cells to IFNγ, and suggests a gradual diffusion of the cytokine into an islet. These observations provide novel insights into the in situ inflammatory processes occurring in T1D progression.

New insights into the characteristics of DRAK2 and its role in apoptosis: From molecular mechanisms to clinically applied potential

As a member of the death-associated protein kinase (DAPK) family, DAP kinase-associated apoptosis-inducing kinase 2 (DRAK2) performs apoptosis-related functions. Compelling evidence suggests that DRAK2 is involved in regulating the activation of T lymphocytes as well as pancreatic β-cell apoptosis in type I diabetes. In addition, DRAK2 has been shown to be involved in the development of related tumor and non-tumor diseases through a variety of mechanisms, including exacerbation of alcoholic fatty liver disease (NAFLD) through SRSF6-associated RNA selective splicing mechanism, regulation of chronic lymphocytic leukemia and acute myeloid leukemia, and progression of colorectal cancer. This review focuses on the structure, function, and upstream pathways of DRAK2 and discusses the potential and challenges associated with the clinical application of DRAK2-based small-molecule inhibitors, with the aim of advancing DRAK2 research.