| Literature DB >> 36171723 |
Jingmei Luo1, Jiagang Feng2, Chunyan Liu3, Zhongce Yang1, Dong Zhan4, Yanan Wu1, Li Pan1, Lihua Zhang1.
Abstract
The immune-related adverse events associated with immunotherapy may affect endocrine glands and other tissues. Two Chinese patients with malignancies were treated with programmed cell death-1 (PD-1) inhibitors (nivolumab and pembrolizumab) and followed up with biochemical tests over 1 year. After PD-1 treatment for 6 to 10 months, the patients developed symptoms of diabetes, ketoacidosis, and insulin secretion failure. Type 1 diabetes mellitus was confirmed by the characteristic fluctuation of blood glucose that was controlled with multiple daily insulin injections. Neither patient's insulin depletion status was reversed in subsequent years. To decrease the life-threatening complications of diabetic hyperosmolar syndrome and ketoacidosis caused by type 1 diabetes mellitus, it is necessary to monitor the blood glucose and hemoglobin A1c levels. Islet β-cell autoantibodies and human leukocyte antigen genes can provide additional information in select cases.Entities:
Keywords: Programmed cell death-1 inhibitor; case report; diabetic ketoacidosis; fulminant type 1 diabetes; hypoendocrinism; immune-related adverse event
Mesh:
Substances:
Year: 2022 PMID: 36171723 PMCID: PMC9523865 DOI: 10.1177/03000605221121940
Source DB: PubMed Journal: J Int Med Res ISSN: 0300-0605 Impact factor: 1.573
Laboratory data of Case 1.
| Item | Results | Reference range | ||
|---|---|---|---|---|
| Aug 2018 | Aug 2019 | Aug 2021 | ||
| BMI, kg/m2 | 20.9 | 20.0 | 20.4 | 18.5–23.9 |
| Glucose, mg/dL (mmol/L) | 1124 (62.45) | 160 (8.88) | 118 (6.55) | <200 (11.1) |
| Hemoglobin A1c, % | 8.8 | 8.6 | 7.8 | <6.5 |
| Urinary ketone | Positive | Negative | Negative | Negative |
| pH | 7.23 | / | / | 7.35–7.45 |
| 14.5 | / | / | 22–28 | |
| C-peptide (fasting), ng/mL | 0.02 | 0.02 | 0.03 | 0.81–3.85 |
| C-peptide (2 hours after meal), ng/mL | 0.02 | 0.02 | 0.03 | 0.81–3.85 |
| GADA | Positive | Positive | Negative | Negative |
| ICA | Negative | Positive | Negative | Negative |
| IAA | Negative | Negative | Negative | Negative |
| TSH, μIU/mL | 3.14 | 13.05 | 8.17 | 0.30–4.50 |
| FT3, pg/mL | 2.37 | 3.02 | 4.05 | 1.21–4.18 |
| FT4, pg/mL | 13.02 | 13.53 | 15.42 | 8.90–17.20 |
| TPO Ab, % | 2.83 | 1.96 | 119 | <10.00 |
| TG Ab, % | 10.82 | 8.54 | 441 | <30.00 |
| Creatinine, μmol/L | 77.0 | 85.7 | 106.4 | 41.0–81.0 |
| Na, mmol/L | 144.60 | 140.80 | 143.00 | 137.00–147.00 |
| K, mmol/L | 3.01 | 4.35 | 4.31 | 3.50–5.30 |
| Cl, mmol/L | 107.20 | 103.40 | 102.60 | 96.00–108.00 |
| Cortisol (08:00), pg/mL | 203.40 | 224.40 | 122.40 | 72.60–322.80 |
| ACTH (08:00), pg/mL | 9.47 | 9.62 | 8.46 | 6.00–40.00 |
| HLA typing by whole-exome sequencing | DQA1 | |||
| DQB1 | ||||
BMI, body mass index; , bicarbonate ion; GADA, glutamic acid decarboxylase antibody; ICA, insular cell antibody; IAA, insulin autoantibody; TSH, thyroid-stimulating hormone; FT3, free triiodothyronine; FT4, free thyroxine; TPO Ab, thyroperoxidase antibody; TG Ab, thyroglobulin antibody; ACTH, adrenocorticotropic hormone; HLA, human leukocyte antigen.
Laboratory data of Case 2.
| Item | Results | Reference range | ||
|---|---|---|---|---|
| Jan 2018 | May 2018 | Dec 2019 | ||
| BMI, kg/m2 | 22.8 | 19.7 | 19.0 | 18.5–23.9 |
| Glucose, mg/dL (mmol/L) | 590.40 (32.80) | 158.40 (8.80) | 381.60 (21.20) | <200 (11.1) |
| Hemoglobin A1c (%) | 4.6 | 9.3 | 8.6 | <6.5 |
| Urinary ketones | Positive | Negative | Negative | Negative |
| pH | 7.36 | / | / | 7.35–7.45 |
| 21.50 | / | / | 22–28 | |
| C-peptide (fasting), ng/mL | 1.42 | 0.04 | 0.01 | 0.81–3.85 |
| C-peptide (2 hours after meal), ng/mL | 1.67 | 0.03 | 0.02 | 0.81–3.85 |
| GADA | Negative | Negative | Negative | Negative |
| ICA | Negative | Negative | Negative | Negative |
| IAA | Negative | Negative | Negative | Negative |
| TSH, μIU/mL | 2.78 | 9.7 | 7.73 | 0.30–4.50 |
| FT3, pg/mL | 3.14 | 2.84 | 3.09 | 1.21–4.18 |
| FT4, pg/mL | 11.37 | 13.82 | 14.28 | 8.90–17.20 |
| TPO Ab (%) | 1.45 | 1.25 | 3.36 | <10.00 |
| TG Ab (%) | 4.58 | 3.26 | 4.75 | <30.00 |
| Creatinine, μmol/L | 77.5 | 76.2 | 46.7 | 41.0–81.0 |
| Na, mmol/L | 136.10 | 132.60 | 126.00 | 137.00–147.00 |
| K, mmol/L | 3.66 | 3.52 | 4.35 | 3.50–5.30 |
| Cl, mmol/L | 99.80 | 99.60 | 89.30 | 96.00–108.00 |
| Cortisol (08:00), pg/mL | 75.00 | 70.26 | 49.85 | 72.60–322.80 |
| ACTH (08:00), pg/mL | 7.45 | 5.77 | 3.68 | 6.00–40.00 |
| HLA typing by whole-exome sequencing | DQA1 | |||
| DQB1 | ||||
BMI, body mass index; , bicarbonate ion; GADA, glutamic acid decarboxylase antibody; ICA, insular cell antibody; IAA, insulin autoantibody; TSH, thyroid-stimulating hormone; FT3, free triiodothyronine; FT4, free thyroxine; TPO Ab, thyroperoxidase antibody; TG Ab, thyroglobulin antibody; ACTH, adrenocorticotropic hormone; HLA, human leukocyte antigen.
Figure 1.Possible mechanism underlying how PD-1 inhibitors lead to type 1 diabetes mellitus. PD-1 inhibitors target the PD-1 on the surface of T cells and block their interactions with PD-L1. The negative immune regulation of T cells is broken. Large numbers of proliferating T cells exert antitumor effects by attacking tumor cells. Similarly, in the presence of susceptibility factors such as human leukocyte antigen, islet β cells are attacked by T cells, and type 1 diabetes mellitus develops.
PD-1, programmed cell death-1; PD-L1, programmed cell death ligand-1; TCR, T-cell receptor; MHC, major histocompatibility complex; MANA, mutation-associated neoantigen.