Through the past decade of research, the pathogenic mechanisms underlying metabolic syndrome have been suggested to involve not only the peripheral tissues, but also central metabolic regulation imbalances. The hypothalamus, and the arcuate nucleus in particular, is the control center for metabolic homeostasis and energy balance. Neuropeptide Y neurons are particularly abundantly expressed in the arcuate of the hypothalamus, where the blood-brain barrier is weak, such as to critically integrate peripheral metabolic signals with the brain center. Herein, focusing on metabolic syndrome, this manuscript aims to provide an overview of the regulatory effects of Neuropeptide Y on metabolic syndrome and discuss clinical intervention strategy perspectives for neurometabolic disease.

Purpose: Our study aimed to map endocrine toxicity spectrum of immune checkpoint inhibitors (ICIs). Methods: We obtained data from VigiBase, between January 1, 2011 and March 6, 2019. All endocrine adverse drug reactions (ADRs) were classified by group queries according to the Medical Dictionary for Regulatory Activities. Disproportionality analysis was performed with information component (IC) and reporting odds ratio (ROR). We used IC to identify meaningful endocrinopathies associated with ICIs and ROR to compare differences between ICI subgroups of ADRs. IC₀₂₅ (lower end of the 95% confidence interval of IC) is considered significant if larger than 0. Results: In all, 6089 reports for endocrinopathies associated with ICIs were involved, with a male to female ratio of 1.5:1. The disproportionality analysis indicated significance of not only common endocrinopathies: thyroid dysfunction, hypophysitis/hypopituitarism, adrenal insufficiency, T1DM, fulminant T1DM (IC₀₂₅: 4.12–6.62), but also rare endocrinopathies: hypoparathyroidism, diabetes insipidus, hypogonadism (IC₀₂₅: 1.56–2.04). Increased risk of ADR reporting emerged in anti-CTLA-4 (e.g., hypophysitis/hypopituitarism, adrenal insufficiency) or in anti-PD-1/PD-L1 (e.g., thyroid dysfunction, T1DM, fulminant T1DM). In general, combination therapy (anti-CTLA-4 plus anti-PD-1/PD-L1) had a stronger association with endocrinopathies than monotherapy (ROR: 2.8, 95% CI: 2.5–3.1). Onset time of common endocrinopathies differed between different ICI therapies, typically within 12 weeks in anti-CTLA-4 monotherapy but diffusely ranging from 0 to 48 weeks in anti-PD-1 monotherapy. Conclusions: Our study shows rising reporting frequencies of endocrinopathies caused by ICIs, especially aggravated in combination therapy. Clinicians should be early aware of latent endocrine toxicity and different onset time of endocrinopathies when implementing ICI therapies.

Objective: Our study aimed to identify and characterize thyroid dysfunctions associated with immune checkpoint inhibitors (ICIs). Design: Data were obtained from VigiBase, between January 1, 2011 to March 6, 2019. Methods: All thyroid drug-adverse events are classified by group queries according to the Medical Dictionary for Regulatory Activities. Information component (IC) and reporting odds ratio (ROR) were considered as measures of disproportionality for the assessment of association between ICIs and thyroid dysfunctions. We used IC to identify meaningful drug-adverse events while using ROR to compare differences in the reporting of drug-adverse events caused by different ICI subgroups. Positive IC values are deemed significant. Results: Compared with the full database, the following ICI-associated thyroid dysfunctions were over-reported: hypothyroidism (1125 reports for ICIs vs 12495 for all drugs; Information Component 4.28 (95% CI: 4.18–4.35)), hyperthyroidism (926 vs 7538; 4.66 (95% CI: 4.55–4.74)), thyroiditis (294 vs 1237; 5.40 (95% CI: 5.21–5.54)), thyrotoxic crisis (11 vs 288; 3.55 (95% CI: 2.61–4.20)). Hypothyroidism was over-reported for patients treated with ICI combination therapy versus those treated with ICI monotherapy (ROR 1.3 (95% CI: 1.1–1.7)), and the same was observed for hyperthyroidism (ROR: 1.9 (95% CI: 1.5–2.4)), thyroiditis (ROR: 3.3 (95% CI: 2.3–4.8)), thyrotoxic crisis (ROR: 11.5 (95% CI: 2.4–53.8)). All 11 thyrotoxic crisis cases were malignant melanoma patients, of which seven occurred under ICI combination therapy. Conclusions: Thyroid dysfunction may occur after ICI therapies, and severe thyrotoxic crisis may even occur. Raising awareness of ICI-associated thyroid dysfunction can improve the detection and treatment of these diseases.

Background: Diabetic nephropathy (DN) is the leading cause of end-stage failure of the kidneys; however, its pathogenesis remains unknown. This study assessed the expression of complement components in the kidneys of rats with type 2 DN to investigate their role in DN. Methods: A rat model of type 2 DN was induced by a high-fat diet combined with low-dose streptozotocin. Blood glucose, fasting insulin levels, insulin resistance index, and 24-h urinary albumin excretion (UAE) were measured. Renal tissue morphological features were observed. The mesangial index and arteriosclerosis index were calculated. Immunohistochemistry and western blot were used to measure the expression of complement components in the kidneys. Results: The kidney weight: body weight (mg/g) ratio in the DN group was significantly greater than those in the control and diabetes mellitus (DM) groups. The arteriosclerosis index, mesangial index, and tube area percentage in the DN group were significantly higher than those in the control and DM groups, but these parameters did not significantly differ between the control and DM groups. The expression of the complement components C1q, mannose-binding lectin (MBL), mannan-binding lectin-associated serine protease (MASP)-2, B factor, C3, and C5b-9 in the DN group was significantly higher than that in the control and DM groups but did not significantly differ between the control and DM groups. Most of the complement components were mainly expressed at the renal tubular site. Correlation analysis showed that 24-h UAE were positively correlated with C1q, MBL, MASP-2, B factor, and C5b-9 expression. MI was positively correlated with MBL, B factor, C3, and C5b-9 expression. AI was positively correlated with C1q, MBL, MASP-2, and B factor expression. Conclusion: Complement components including C1q, MBL, MASP-2, B factor, C3, and C5b-9, were highly expressed in the kidneys of type 2 diabetic rats with DN. Most of the complement components were mainly expressed in the renal tubules. High expression of complement components was found to be associated with the progress of DN. Our study suggests that complement system activation is a progressive factor in type 2 diabetic nephropathy. Inhibition of pathological complement activation may be a promising therapeutic strategy for DN.

Osteoporotic fractures impose a substantial burden on patients with diabetes due to their unique characteristics in bone metabolism, limiting the efficacy of conventional fracture prediction tools. Artificial intelligence (AI) algorithms have shown great promise in predicting osteoporotic fractures. This review aims to evaluate the application of traditional fracture prediction tools (FRAX, QFracture, and Garvan FRC) in patients with diabetes and osteoporosis, review AI-based fracture prediction achievements, and assess the potential efficiency of AI algorithms in this population. This comprehensive literature search was conducted in Pubmed and Web of Science. We found that conventional prediction tools exhibit limited accuracy in predicting fractures in patients with diabetes and osteoporosis due to their distinct bone metabolism characteristics. Conversely, AI algorithms show remarkable potential in enhancing predictive precision and improving patient outcomes. However, the utilization of AI algorithms for predicting osteoporotic fractures in diabetic patients is still in its nascent phase, further research is required to validate their efficacy and assess the potential advantages of their application in clinical practice.