Diabetes mellitus is the leading cause of cardiovascular and renal disease in the United -States. Despite the beneficial interventions available for patients with diabetes, there remains a need for additional therapeutic targets and therapies in diabetic kidney disease (DKD). Inflammation and oxidative stress are increasingly recognized as important causes of renal diseases. Inflammation is closely associated with mitochondrial damage. The molecular connection between inflammation and mitochondrial metabolism remains to be elucidated. Recently, nicotinamide adenine nucleotide (NAD+) metabolism has been found to regulate immune function and inflammation. In the present studies, we tested the hypothesis that enhancing NAD metabolism could prevent inflammation in and progression of DKD. We found that treatment of db/db mice with type 2 diabetes with nicotinamide riboside (NR) prevented several manifestations of kidney dysfunction (i.e., albuminuria, increased urinary kidney injury marker-1 (KIM1) excretion, and pathologic changes). These effects were associated with decreased inflammation, at least in part via inhibiting the activation of the cyclic GMP-AMP synthase-stimulator of interferon genes (cGAS-STING) signaling pathway. An antagonist of the serum stimulator of interferon genes (STING) and whole-body STING deletion in diabetic mice showed similar renoprotection. Further analysis found that NR increased SIRT3 activity and improved mitochondrial function, which led to decreased mitochondrial DNA damage, a trigger for mitochondrial DNA leakage which activates the cGAS-STING pathway. Overall, these data show that NR supplementation boosted NAD metabolism to augment mitochondrial function, reducing inflammation and thereby preventing the progression of diabetic kidney disease.

Obesity and obesity related kidney and liver disease have become more prevalent over the past few decades, especially in the western world. Sodium-glucose cotransporter 2 (SGLT2) inhibitors are a new class of antidiabetic agents with promising effects on cardiovascular and renal function. Given SGLT2 inhibitors exert both anti-diabetic and anti-obesity effects by promoting urinary excretion of glucose and subsequent caloric loss, we investigated the effect of the highly selective renal SGLT2 inhibitor dapagliflozin in mice with Western diet (WD) induced obesity. Low fat (LF) diet or WD-fed male C57BL/6J mice were treated with dapagliflozin for 26 weeks. Dapagliflozin attenuated the WD-mediated increases in body weight, plasma glucose and plasma triglycerides. Treatment with dapagliflozin prevented podocyte injury, glomerular pathology and renal fibrosis determined by second harmonic generation (SHG), nephrin, synaptopodin, collagen IV, and fibronectin immunofluorescence microscopy. Oil Red O staining showed dapagliflozin also decreased renal lipid accumulation associated with decreased SREBP-1c mRNA abundance. Moreover, renal inflammation and oxidative stress were lower in the dapagliflozin-treated WD-fed mice than in the untreated WD-fed mice. In addition, dapagliflozin decreased serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST), hepatic lipid accumulation as determined by H&E and Oil Red O staining, and Coherent Anti-Stokes Raman Scattering (CARS) microscopy, and hepatic fibrosis as determined by picrosirius red (PSR) staining and TPE-SHG microscopy in WD-fed mice. Thus, our study demonstrated that the co-administration of the SGLT2 inhibitor dapagliflozin attenuates renal and liver disease during WD feeding of mice.

Nonalcoholic steatohepatitis (NASH) is the most common chronic liver disease in the US, partly due to the increasing incidence of metabolic syndrome, obesity, and type 2 diabetes. The roles of bile acids and their receptors, such as the nuclear receptor farnesoid X receptor (FXR) and the G protein-coupled receptor TGR5, on the development of NASH are not fully clear. C57BL/6J male mice fed a Western diet (WD) develop characteristics of NASH, allowing determination of the effects of FXR and TGR5 agonists on this disease. Here we show that the FXR-TGR5 dual agonist INT-767 prevents progression of WD-induced hepatic steatosis, inflammation, and fibrosis, as determined by histological and biochemical assays and novel label-free microscopy imaging techniques, including third harmonic generation, second harmonic generation, and fluorescence lifetime imaging microscopy. Furthermore, we show INT-767 decreases liver fatty acid synthesis and fatty acid and cholesterol uptake, as well as liver inflammation. INT-767 markedly changed bile acid composition in the liver and intestine, leading to notable decreases in the hydrophobicity index of bile acids, known to limit cholesterol and lipid absorption. In addition, INT-767 upregulated expression of liver p-AMPK, SIRT1, PGC-1α, and SIRT3, which are master regulators of mitochondrial function. Finally, we found INT-767 treatment reduced WD-induced dysbiosis of gut microbiota. Interestingly, the effects of INT-767 in attenuating NASH were absent in FXR-null mice, but still present in TGR5-null mice. Our findings support treatment and prevention protocols with the dual FXR-TGR5 agonist INT-767 arrest progression of WD-induced NASH in mice mediated by FXR-dependent, TGR5-independent mechanisms.

Background: Image-based machine learning tools hold great promise for clinical applications in pathology research. However, the ideal end-users of these computational tools (e.g., pathologists and biological scientists) often lack the programming experience required for the setup and use of these tools which often rely on the use of command line interfaces.Methods: We have developedHisto-Cloud, a tool for segmentation of whole slide images (WSIs) that has an easy-to-use graphical user interface. This tool runs a state-of-the-art convolutional neural network (CNN) for segmentation of WSIs in the cloud and allows the extraction of features from segmented regions for further analysis.Results: By segmenting glomeruli, interstitial fibrosis and tubular atrophy, and vascular structures from renal and non-renal WSIs, we demonstrate the scalability, best practices for transfer learning, and effects of dataset variability. Finally, we demonstrate an application for animal model research, analyzing glomerular features in three murine models.Conclusions: Histo-Cloudis open source, accessible over the internet, and adaptable for segmentation of any histological structure regardless of stain.

Diabetic kidney disease (DKD) is a leading cause of end-stage renal disease (ESRD) and remains a significant clinical challenge due to its complex pathogenesis. This review explores the intricate interplay of metabolic, inflammatory, and cellular mechanisms that drive DKD progression, with a particular focus on lipid metabolism, mitochondrial dysfunction, oxidative stress, inflammation, cell injury, and epigenetic modifications. Advances in histopathological and molecular studies have expanded our understanding of glomerular, tubular, and vascular abnormalities in DKD, highlighting the critical role of nuclear hormone receptors, transcription factors, and G protein-coupled receptors in regulating renal lipid accumulation, mitochondrial function, inflammation, oxidative stress, and fibrotic pathways. In addition, emerging evidence implicates novel cell death mechanisms, including ferroptosis, necroptosis, pyroptosis, and PANoptosis, in DKD pathology. Epigenetic modifications, including DNA methylation, histone modifications, and noncoding RNAs, further contribute to disease progression by regulating gene expression in response to metabolic stress. As current therapeutic strategies remain insufficient to prevent DKD progression, this review also discusses novel molecular targets and emerging therapeutic approaches aimed at mitigating lipid toxicity, enhancing mitochondrial function, and suppressing inflammation. By integrating insights from histopathology, molecular biology, and translational research, this review provides a comprehensive framework for developing future strategies to delay or prevent DKD progression.