Drug-induced hyperglycemia in the Japanese Adverse Drug Event Report database: association of evelolimus use with diabetes

Drug-induced hyperglycemia and diabetes

BACKGROUND

Drug-induced hyperglycemia and diabetes have negative and potentially serious health consequences but can often be unnoticed.

METHODS

We reviewed the literature searching Medline database for articles addressing drug-induced hyperglycemia and diabetes up to January 31, 2023. We also selected drugs that could induce hyperglycemia or diabetes according official data from drug information databases Thériaque and Micromedex. For each selected drug or pharmacotherapeutic class, the mechanisms of action potentially involved were investigated. For drugs considered to be at risk of hyperglycemia or diabetes, disproportionality analyses were performed using data from the international pharmacovigilance database VigiBase. In order to detect new pharmacovigilance signals, additional disproportionality analyses were carried out for drug classes with more than 100 cases reported in VigiBase, but not found in the literature or official documents.

RESULTS

The main drug classes found to cause hyperglycemia are glucocorticoids, HMG-coA reductase inhibitors, thiazide diuretics, beta-blockers, antipsychotics, fluoroquinolones, antiretrovirals, antineoplastic agents and immunosuppressants. The main mechanisms involved are alterations in insulin secretion and sensitivity, direct cytotoxic effects on pancreatic cells and increases in glucose production. Pharmacovigilance signal were found for a majority of drugs or pharmacological classes identified as being at risk of diabetes or hyperglycemia. We identified new pharmacovigilance signals with drugs not known to be at risk according to the literature or official data: phosphodiesterase type 5 inhibitors, endothelin receptor antagonists, sodium oxybate, biphosphonates including alendronic acid, digoxin, sartans, linosipril, diltiazem, verapamil, and darbepoetin alpha. Further studies will be needed to confirm these signals.

CONCLUSIONS

The risks of induced hyperglycemia vary from one drug to another, and the underlying mechanisms are multiple and potentially complex. Clinicians need to be vigilant when using at-risk drugs in order to detect and manage these adverse drug reactions. However, it is to emphasize that the benefits of appropriately prescribed treatments most often outweigh their metabolic risks.

Safety of tacrolimus use during pregnancy and related pregnancy outcomes in patients with systemic lupus erythematosus: A retrospective single-center analysis in Japan

OBJECTIVE

Tacrolimus is one of the drugs that can be used in pregnancies complicated with systemic lupus erythematosus (SLE), but there are still few reports on its pregnancy outcomes. Although tacrolimus has been reported to cause adverse events, such as increased blood pressure, abnormal glucose metabolism, and susceptibility to infection, there have been no studies on the impact of tacrolimus in SLE pregnancies at these points. We performed a retrospective observational study of pregnancies complicated by SLE at St Luke's International Hospital in Tokyo from April 2003 to August 2021.

METHODS

Basic clinical information on SLE, pregnancy outcomes, disease activity before and after pregnancy, laboratory results, blood pressure, blood glucose levels, treatment regimens, and presence of infection was extracted from electronic medical records. We defined overall adverse pregnancy outcomes (APOs) as follows: (1) fetal death after 10 gestational weeks, (2) preterm delivery, (3) delivery due to hypertensive disorders of pregnancy, preeclampsia, or placental insufficiency, or (4) the diagnosis of small for gestational age infants. We also examined whether there was a statistical difference in APO incidence between patients treated with and without tacrolimus.

RESULTS

Pregnancy outcomes were obtained for 48 patients with a total of 60 pregnancies complicated by SLE. In 20 (33.3%) of these pregnancies, the patients took tacrolimus, and 28 (46.7%) of the pregnancies had APOs. APO incidence did not statistically differ between the tacrolimus and non-tacrolimus groups in the multivariate analysis (p = 1.00, adjusted OR 1, 95% CI: 0.23-4.39). Multiple regression analyses indicated that tacrolimus use did not significantly affect systolic blood pressure in the third trimester (B = -2.23, p = .74) or blood glucose levels in the first trimester (B = 10.2, p = .056). Incidence of infections did not significantly differ between patients treated with and without tacrolimus in the univariate analysis (10.8% vs. 21.1%, p = .42).

CONCLUSION

Tacrolimus did not significantly affect pregnancy outcomes, blood pressure, or glucose levels. Further research is required to confirm its effects in a larger population.

Risk Factors for Anticancer Drug-Induced Hyponatremia: An Analysis Using the Japanese Adverse Drug Report (JADER) Database

Background and Objectives: Hyponatremia is among the most prevalent electrolyte abnormalities observed in patients with cancer during chemotherapy. Therefore, managing hyponatremia is crucial since it causes a severe electrolyte imbalance that can lead to significant mortality, and this study aimed to investigate the relationship between hyponatremia, anticancer drugs, and cancer types. Materials and Methods: Reported odds ratios were calculated and evaluated based on adverse event reports submitted to the Japanese Adverse Drug Event Report (JADER) database. Results: Overall, 2943 patients had hyponatremia. Notably, cisplatin, pemetrexed, and etoposide had marked hyponatremia signals. In addition, significant hyponatremia signals were detected for oesophageal, lung, and renal cancers. Conclusions: Hyponatremia has been reported in women and patients with lung cancer receiving cisplatin, with a growing trend in the number of elderly patients receiving cisplatin. Furthermore, since the onset of hyponatremia during cisplatin administration is frequently reported within 10 days, patient information should be thoroughly examined before and monitored throughout the administration, which can contribute to the early detection and prevention of hyponatremia.

Comprehensive analysis of everolimus-induced adverse events using the Japanese real-world database

WHAT IS KNOWN AND OBJECTIVES

As for adverse events (AEs) caused by everolimus, findings from clinical trials and post-marketing surveillance have reported interstitial lung disease, hyperglycaemia, cardiovascular disease, etc. However, these reports are limited to incidence, and detailed studies on the risk of occurrence, time to onset and post-event clinical outcomes are only related to hyperglycaemia. The purpose of this study was to perform a comprehensive analysis of adverse events during everolimus therapy in patients with renal cell carcinoma (RCC) using the Japanese Adverse Event Report database.

METHODS

Data reported between April 2004 and June 2021 in the Japanese Adverse Drug Event Report database were extracted for use. The reported odds ratio, time to onset and post-event course were analysed for the top 30 adverse events reported.

RESULTS AND DISCUSSION

Among the top 30 adverse events, 23 adverse event signals were detected and classified into seven categories: lung-related AEs, haematological-related AEs, cancer progression, blood glucose-related AEs, hepatic-related AEs, renal-related AEs and others. The lung-related adverse events category was the most common, and the proportion of fatal outcomes after the occurrence of two adverse events related to infectious pneumonia was more than 10%.

WHAT IS NEW AND CONCLUSION

A comprehensive survey of adverse events associated with everolimus administration using the pharmacovigilance database revealed that pulmonary and haematological AEs are frequently reported. The results suggest that attention should be paid to the occurrence of lung disorders because they may lead to fatal outcomes.

Deciphering Risperidone-Induced Lipogenesis by Network Pharmacology and Molecular Validation

BACKGROUND

Risperidone is an atypical antipsychotic that can cause substantial weight gain. The pharmacological targets and molecular mechanisms related to risperidone-induced lipogenesis (RIL) remain to be elucidated. Therefore, network pharmacology and further experimental validation were undertaken to explore the action mechanisms of RIL.

METHODS

RILs were systematically analyzed by integrating multiple databases through integrated network pharmacology, transcriptomics, molecular docking, and molecular experiment analysis. The potential signaling pathways for RIL were identified and experimentally validated using gene ontology (GO) enrichment and Kyoto encyclopedia of genes and genomes (KEGG) analysis.

RESULTS

Risperidone promotes adipocyte differentiation and lipid accumulation through Oil Red O staining and reverse transcription-polymerase chain reaction (RT-PCR). After network pharmacology and GO analysis, risperidone was found to influence cellular metabolism. In addition, risperidone influences adipocyte metabolism, differentiation, and lipid accumulation-related functions through transcriptome analysis. Intersecting analysis, molecular docking, and pathway validation analysis showed that risperidone influences the adipocytokine signaling pathway by targeting MAPK14 (mitogen-activated protein kinase 14), MAPK8 (mitogen-activated protein kinase 8), and RXRA (retinoic acid receptor RXR-alpha), thereby inhibiting long-chain fatty acid β-oxidation by decreasing STAT3 (signal transducer and activator of transcription 3) expression and phosphorylation.

CONCLUSION

Risperidone increases adipocyte lipid accumulation by plausibly inhibiting long-chain fatty acid β-oxidation through targeting MAPK14 and MAPK8.

Risperidone Exacerbates Glucose Intolerance, Nonalcoholic Fatty Liver Disease, and Renal Impairment in Obese Mice

Risperidone, a second-generation antipsychotic drug used for schizophrenia treatment with less-severe side effects, has recently been applied in major depressive disorder treatment. The mechanism underlying risperidone-associated metabolic disturbances and liver and renal adverse effects warrants further exploration. This research explores how risperidone influences weight, glucose homeostasis, fatty liver scores, liver damage, and renal impairment in high-fat diet (HFD)-administered C57BL6/J mice. Compared with HFD control mice, risperidone-treated obese mice exhibited increases in body, liver, kidney, and retroperitoneal and epididymal fat pad weights, daily food efficiency, serum triglyceride, blood urea nitrogen, creatinine, hepatic triglyceride, and aspartate aminotransferase, and alanine aminotransferase levels, and hepatic fatty acid regulation marker expression. They also exhibited increased insulin resistance and glucose intolerance but decreased serum insulin levels, Akt phosphorylation, and glucose transporter 4 expression. Moreover, their fatty liver score and liver damage demonstrated considerable increases, corresponding to increases in sterol regulatory element-binding protein 1 mRNA, fatty acid-binding protein 4 mRNA, and patatin-like phospholipid domain containing protein 3 expression. Finally, these mice demonstrated renal impairment, associated with decreases in glutathione peroxidase, superoxide dismutase, and catalase levels. In conclusion, long-term administration of risperidone may exacerbate diabetes syndrome, nonalcoholic fatty liver disease, and kidney injury.

Ceritinib-associated hyperglycemia in the Japanese Adverse Drug Event Report Database

Genetic rearrangements of anaplastic lymphoma kinase contribute to the pathogenesis of non-small-cell lung cancer; the anaplastic lymphoma kinase inhibitor, ceritinib, is widely used, as it is effective even in patients with non-small-cell lung cancer resistant to other anaplastic lymphoma kinase inhibitors. Although a case of possible ceritinib-induced hyperglycemia was reported, the association of ceritinib with hyperglycemia remains to be investigated. Disproportionality analysis was carried out using the Japanese Adverse Drug Event Report database, which contains all pharmacovigilance data based on spontaneous reports of adverse events between April 2004 and November 2018 to the Pharmaceuticals and Medical Devices Agency. The reporting odds ratio of ceritinib for hyperglycemia was 2.25 (95% confidence interval [CI] 1.24-4.08], whereas those of crizotinib and alectinib were 0.07 (95% CI 0.01-0.40) and 0.94 (95% CI 0.30-2.94), respectively. Among reported events without antidiabetes agent use, the reporting odds ratio of ceritinib was still 2.54 (95% CI 1.27-5.12). Thus, the possibility of hyperglycemia should be carefully monitored in patients receiving ceritinib.

Evaluation of Acute Kidney Injury Associated With Anticancer Drugs Used in Gastric Cancer in the Japanese Adverse Drug Event Report Database

Background: Development of acute kidney injury (AKI) depends on the severity of renal dysfunction, clinical setting, comorbid factors, and geographical location. Gastric cancer is one of the deadliest malignancies worldwide, and its incidence is significantly high in Japan. Objective: We analyzed the rank-order of the association of anticancer agents for gastric cancer with AKI using a spontaneous reporting system database, the Japanese Adverse Drug Event Report database. Methods: We performed a retrospective pharmacovigilance disproportionality analysis using the adverse event reports submitted to the Pharmaceuticals and Medical Devices Agency between April 2004 and March 2017. Results: Anticancer drug-related AKI was common in patients in their 60s and 70s (39.2% and 43.2%, respectively). AKI occurred most frequently within 1 month after anticancer drug administration. The signals of AKI were reported after treatment with S-1 (tegafur/gimeracil/oteracil), cisplatin (CDDP), and capecitabine, with significant adjusted reporting odds ratios (95% CI) of 1.50 (1.09-2.07), 3.43 (2.48-4.74), and 1.82 (1.15-2.90), respectively. CDDP-induced AKI was more likely to occur in patients who were male, hypertension, or diabetes mellitus. Conclusion and Relevance: This study showed that most AKI cases were related to S-1 and/or CDDP adjuvant chemotherapy for gastric cancer treatment. The data also clarified that AKIs occurred within 1 month and that their clinical outcomes were more severe than previous reports of drug-induced AKI in general medicine. Our study provides useful information to minimize the risks of administration to patients at high risk for S-1 and/or CDDP containing chemotherapy-induced AKI.