Alterations of the Gut Microbiota in Patients with Diabetic Nephropathy

Impact of gut microbiota in chronic kidney disease: natural polyphenols as beneficial regulators

Chronic kidney disease (CKD) poses a severe health risk with high morbidity and mortality, profoundly affecting patient quality of life and survival. Despite advancements in research, the pathophysiology of CKD remains incompletely understood. Growing evidence links CKD with shifts in gut microbiota function and composition. Natural compounds, particularly polyphenols, have shown promise in CKD treatment due to their antioxidant and anti-inflammatory properties and their ability to modulate gut microbiota. This review discusses recent progress in uncovering the connections between gut microbiota and CKD, including microbiota changes across different kidney diseases. We also examine metabolite alterations,such as trimethylamine-N-oxide, tryptophan derivatives, branched-chain amino acids, short-chain fatty acids, and bile acids,which contribute to CKD progression. Further, we outline the mechanisms through which polyphenols exert therapeutic effects on CKD, focusing on signaling pathways like nuclear factor kappa-B (NF-κB), mitogen-activated protein kinase (MAPK), mammalian target of rapamycin (mTOR), NOD-like receptor thermal protein domain associated protein 3 (NLRP3), phosphatidylin-ositol-3-kinase (PI3K)/protein kinase B (Akt), and toll like receptors (TLR), as well as their impact on gut microbiota. Lastly, we consider how dietary polyphenols could be harnessed as bioactive drugs to slow CKD progression. Future research should prioritize multi-omics approaches to identify patients who would benefit from polyphenolic interventions, enabling personalized treatment strategies to enhance therapeutic efficacy.

Gut microbiota implication in diabetic kidney disease: mechanisms and novel therapeutic strategies

Diabetic kidney disease (DKD) is one of the leading causes of chronic kidney disease and end-stage renal disease worldwide, predominantly driven by the rise in type 2 diabetes mellitus. Recent evidence highlights the crucial role of gut microbiota dysbiosis in the development and progression of DKD. Dysbiosis, characterized by a reduction in beneficial short-chain fatty acid-producing bacteria and an increase in pathogenic species such as Proteobacteria and Bacteroides, exacerbates systemic inflammation, insulin resistance, and kidney damage through mechanisms like increased intestinal permeability and the production of pro-inflammatory metabolites like lipopolysaccharides. This review explores the impact of specific bacterial taxa on DKD risk and progression, such as Alistipes, Subdoligranulum, and their interactions with metabolic pathways. Furthermore, we discuss novel therapeutic strategies targeting gut microbiota, including probiotics, prebiotics, synbiotics, and fecal microbiota transplantation, which have shown promise in ameliorating DKD symptoms. However, the heterogeneity of gut microbiota across individuals and the challenges in treatment standardization call for personalized approaches and further research into the gut-kidney axis.

Abdominal LIPUS Stimulation Prevents Cognitive Decline in Hind Limb Unloaded Mice by Regulating Gut Microbiota

Weightlessness usually causes disruption of the gut microbiota and impairs cognitive function. There is a close connection between gut microbiota and neurological diseases. Low-intensity pulsed ultrasound (LIPUS) has a beneficial effect on reducing intestinal inflammation. So we wondered if abdominal LIPUS stimulation can have a positive impact on weightlessness induced cognitive decline by reducing intestinal dysfunction. The findings revealed that the hind limb unloaded mice exhibited evident disruption in intestinal structure and gut microbial homeostasis, along with impairment in their learning and memory capabilities. However, 4-week abdominal LIPUS treatment improved intestinal function in hind limb unloaded mice, characterized by upregulation of tight junction proteins ZO-1 and Occludin expression in the colon, increased diversity and abundance of intestinal microbiota, decreased serum lipopolysaccharide (LPS), and increased short chain fatty acids in colon contents. The hind limb unloaded mice treated with LIPUS exhibited heightened activity levels, improved exploratory tendencies, and significantly enhanced learning and memory faculties, and elevated expression of neuroadaptation-related proteins such as PSD95, GAP43, P-CREB, BDNF, and its receptor TRKB in the hippocampus. Furthermore, the hind limb unloaded mice receiving fecal transplants from the mice whose abdomens were irradiated with LIPUS displayed enhanced cognitive abilities and improved intestinal structure, akin to the outcomes observed in hind limb unloaded mice who received LIPUS abdominal treatment directly. The above results indicate that LIPUS enhances intestinal structure and microbiota, which helps alleviate cognitive impairment caused by weightlessness. LIPUS could be a potential strategy to simultaneously improve gut dysfunction and cognitive decline in astronauts or bedridden patients.

Association of the gut microbiome with diabetic nephropathy and the mediated effect of metabolites: friend or enemy?

OBJECTIVE

The effects of gut microbiome and its metabolites on diabetic nephropathy (DN) have been inadequately elucidated. The aim of this study is to assess the causal effect of gut microbiome on DN and the mediated effect of metabolites by a two-step Mendelian randomization (MR).

METHODS

Datasets of gut microbiome, metabolites, and DN were acquired in genome-wide association studies and screened for single nucleotide polymorphisms according to the underlying assumptions of MR. Subsequently, inverse variance weighted was used as the primary method for MR analysis to assess the causal effect of gut microbiome on DN and the mediated effect of metabolites. Finally, MR-Egger intercept, Cochran's Q test, and leave-one-out sensitivity analysis were used to assess the horizontal pleiotropy, heterogeneity, and robustness of the results, respectively.

RESULTS

The MR analysis demonstrated that Parabacteroides merdae increased the genetic susceptibility to DN by reducing acetylcarnitine (C2) to propionylcarnitine (C3) ratio (mediated proportion 8.95%, mediated effect 0.024) and alpha-ketobutyrate to 3-methyl-2-oxovalerate ratio (mediated proportion 19.90%, mediated effect 0.053). MR Egger showed that these results lack horizontal pleiotropy (p ≥ 0.05). Cochran's Q and sensitivity analysis suggested these results had no heterogeneity (p ≥ 0.05) and were robust.

CONCLUSION

Our findings revealed the pathway by which Parabacteroides merdae increased the genetic susceptibility to DN by regulating acetylcarnitine (C2) to propionylcarnitine (C3) ratio and alpha-ketobutyrate to 3-methyl-2-oxovalerate ratio. It provides new genetic insights for understanding the pathogenesis of DN and related drug research.

Exploring the beneficial effect of gut microbiota metabolites on diabetic nephropathy via network pharmacology study

Diabetic nephropathy (DN) is one of the severe complications of diabetes, current treatment against DN is still limited. It is suggested that gut microbiota metabolites will be a promising alternative therapy against DN. In this study, we explore the beneficial effect of gut microbiota metabolites on DN via employing network pharmacology study. The targets of metabolites were screen from Similarity Ensemble Approach (SEA) and Swiss Target Prediction (STP). The DN targets were acquired from disease database. The intersecting targets of metabolites and DN were considered crucial targets. The Protein-Protein Interaction (PPI) networks, GO function and KEGG analysis were conducted to identify core target and key signaling pathway. A "Microbiota-Substrate-Metabolites-Targets" network was built to screen the core metabolites. Molecular docking was employed to assess the binding affinity between metabolites and targets. GO functional results indicated that the metabolites were mainly enriched in oxidative stress and inflammation. PPARG, AKT1, IL6 and JUN were the top 4 targets of gut microbiota metabolites regulating DN. Butyrate, Acetate, Indole and 3-Indolepropionic acid were the core gut microbiota metabolites that had beneficial effects on attenuating DN. Molecular docking results indicated that 3-Indolepropionic acid displayed a good binding affinity toward targets of PPARG, AKT1, IL6 and JUN. Our study revealed that the gut microbiota metabolites might exert beneficial effect on attenuating DN by regulating multi-signaling pathway and multi-targets. This work offers us a novel insight into the mechanism of DN from the perspective of beneficial benefits of gut microbiota metabolites.

The Type III Secretion System (T3SS) of Escherichia Coli Promotes Atherosclerosis in Type 2 Diabetes Mellitus

Large-scale studies indicate a strong relationship between the gut microbiome, type 2 diabetes mellitus (T2DM), and atherosclerotic cardiovascular disease (ASCVD). Here, a higher abundance of the type III secretion system (T3SS) virulence factors of Enterobacteriaceae/Escherichia-Shigella in patients with T2DM-related-ASCVD, which correlates with their atherosclerotic stenosis is reported. Overexpression of T3SS via Citrobacter rodentium (CR) infection in Apoe-/- T2DM mice exacerbated atherosclerotic lesion formation and increased gut permeability. Non-targeted metabolomic and proteomic analysis of mouse serum showed that T3SS caused abnormal glycerophospholipid metabolism in mice. Proteomics, RNA sequencing, and functional analyses showed that T3SS induced ferroptosis in intestinal epithelial cells, partly due to increased expression of ferritin heavy chains (FTH1). This findings first demonstrated that T3SS increases ferroptosis in intestinal epithelial cells, via disrupting the intestinal barrier and upregulation of phosphatidylcholine, thereby exacerbating T2DM-related ASCVD.

Gut Microbiota and Their Metabolites: The Hidden Driver of Diabetic Nephropathy? Unveiling Gut Microbe's Role in DN

BACKGROUND

Diabetic nephropathy (DN) is a severe microvascular complication of diabetes with a complex pathogenesis.

METHODS

Recent studies were reviewed to explore the role of gut microbiota and its metabolites in DN development.

RESULTS

Dysbiosis of gut bacteria contributes to pathological changes such as glomerular sclerosis and renal tubule injury. Microbial metabolites are involved in DN through immune and inflammatory pathways.

CONCLUSIONS

Understanding the relationship between gut microbiota, its metabolites, and DN may offer potential implications for DN diagnosis, prevention, and treatment. Translating this knowledge into clinical practice presents challenges and opportunities.

Protective effects of Sulforaphene on kidney damage and gut dysbiosis in high-fat diet plus streptozotocin-induced diabetic mice

Diabetic nephropathy (DN) is one of the most serious and prevalent complications associated with diabetes. Consequently, antidiabetic drugs or foods potentially protecting the kidneys are of significant therapeutic value. Sulforaphene (SFE) is a natural isothiocyanate derived from radish seeds, known for its anti-inflammatory and antioxidant properties. However, no studies have investigated on the ability of SFE to prevent or treat DN. This study established a high-fat diet combined with a streptozotocin-induced type II diabetes mellitus mouse model. We administered SFE treatment to examine its protective effects on renal and intestinal homeostasis in DN mice. After 4 weeks of treatment, SFE (50 mg/kg b.w.) not only reduced blood glucose concentration (20.3 %, P < 0.001), kidney to body weight ratio (26.2 %, P < 0.01), and levels of serum total cholesterol (40.6 %, P < 0.001), triglycerides (38.2 %, P < 0.01), creatinine (36.7 %, P < 0.01), and urea nitrogen (45.0 %, P < 0.001) in DN mice compared to control mice but also increased the kidney superoxide dismutase (72.7 %, P < 0.001), catalase (51.1 %, P < 0.001), and glutathione peroxidase activities (31.6 %, P < 0.01), as well as glutathione levels (39.2 %, P < 0.01) in comparison to DN mice. Furthermore, SFE decreased levels of reactive oxygen species (55.4 %, P < 0.01), 4-hydroxyalkenals (36.9 %, P < 0.001), malondialdehyde (42.6 %, P < 0.001), and 8-hydroxy-deoxyguanosine (26.3 %, P < 0.001), accompanied by a meliorating kidney morphological abnormalities. Notably, a reduction in renal inflammatory factors was also observed in SFE-treated DN mice compared to untreated DN mice, particularly in the C-X-C motif chemokine ligand 8 factors (54.8 %, P < 0.001). Western blotting results indicated that SFE significantly down-regulated the protein expression of TLR4 and MyD88 (1.9, 1.7-fold, P < 0.001). Additionally, SFE improved gut microbiota (GM) dysbiosis and intestinal homeostasis, as evidenced by increased expression of antimicrobial peptides and tight junction proteins in colon tissue. SFE appeared to enhance the proliferation of probiotics, such as Bacteroidota, Lachnospiraceae_NK4A136_group and norank_f__Muribaculaceae, while also decreasing harmful bacteria to a greater extent compared to STZ treatment. These findings suggest that SFE modulates GM and improves intestinal homeostasis, providing a theoretical basis for its use in the treatment of DN.

The gut microbiota and diabetic nephropathy: an observational study review and bidirectional Mendelian randomization study

BACKGROUND

Earlier studies have implicated a crucial link between diabetic nephropathy (DN) and the gut microbiota (GM) by considering the gut-kidney axis; however, the specific cause-and-effect connections between these processes remain unclear.

METHODS

To compare changes in the GM between DN patients and control subjects, a review of observational studies was performed. The examination focused on the phylum, family, genus, and species/genus categories. To delve deeper into the cause-effect relationship, instrumental variables for 211 GM taxa (9 phyla, 16 classes, 20 orders, 35 families, and 131 genera), which were eligible for the mbQTL (microbial quantitative trait locus) mapping analysis, were collected from the Genome Wide Association Study (GWAS). A Mendelian randomization investigation was then conducted to gauge their impact on DN susceptibility using data from the European Bioinformatics Institute (EBI) and the FinnGen consortium. The European Bioinformatics Institute data included 1032 DN patients and 451,248 controls, while the FinnGen consortium data consisted of 3283 DN patients and 210,463 controls. Two-sample Mendelian randomization (TSMR) was utilized to determine the link between the GM and DN. The primary method for analysis was the inverse variance weighted (IVW) approach. Moreover, a reverse Mendelian randomization analysis was carried out, and the findings were validated through sensitivity assessments.

RESULTS

This review examined 11 observational studies that satisfied the inclusion and exclusion criteria. There was a significant difference in the abundance of 144 GM taxa between DN patients and controls. By employing the MR technique, 13 bacteria were pinpointed as having a causal link to DN (including 3 unknown GM taxa). Even after Bonferroni correction, the protective impact of the phylum Proteobacteria and genus Dialister (Sequeira et al. Nat Microbiol. 5:304-313, 2020; Liu et al. EBioMedicine. 90:104527, 2023) and the harmful impact of the genus Akkermansia, family Verrucomicrobiaceae, order Verrucomicrobia and class Verrucomicrobiae on DN remained significant. No noticeable heterogeneity or horizontal pleiotropy was detected in the instrumental variables (IVs). However, reverse MR investigations have failed to reveal any substantial causal relationship between DN and the GM.

CONCLUSION

Differences in the GM among DN patients and healthy controls are explored in observational studies. We verified the possible connection between certain genetically modified genera and DN, thereby emphasizing the connection between the "gut-kidney" axis and new insights into the GM's role in DN pathogenesis underlying DN. Investigations into this association are necessary, and novel biomarkers for the development of targeted preventive strategies against DN are needed.

Hypoglycemic and intestinal microbiota-regulating effects of melanoidins in diabetic mice

BACKGROUND

The aqueous extraction of sesame oil is a traditional process that generates a large amount of melanoidins. However, little is known about the characteristics and bioactive functions of these melanoidins.

RESULTS

Electronic tongue, fluorescence emission spectroscopy, and Fourier transform infrared spectroscopy analyses indicated that melanoidins from sesame residues (MELs) are brown macromolecular compounds with protein skeletons and heteroaromatic ring structures, a bitter taste, and instability in strong oxidative and reductive environments. The MELs demonstrated inhibitory effects on α-glucosidase, α-amylase and pancreatic lipase in vitro. These MELs mitigated weight loss in mice with type 2 diabetes (T2DM), reduced their fasting blood glucose to 54.73% (500 mg kg-1 day-1) of the initial value, increased the glycogen levels in the liver and skeletal muscles, lowered blood lipid levels, and protected the liver. Western blot analysis revealed that MELs inhibited the activities of enzymes such as PEPCK, FBPase, and G6Pase through the IRS-1/PI3K/Akt and AMPK pathways, increased the activity of the enzymes hexokinase (HK) and pyruvate kinase (PK), enhanced liver glycolytic ability, and promoted liver glycogen synthesis, thereby reducing blood glucose levels in T2DM mice. Moreover, MELs reduced the ratio of Firmicutes to Bacteroides (F/B) in the intestines of T2DM mice, increased the relative abundance of beneficial bacteria such as Lactobacillus, Coprococcus, and Ruminococcus, and reduced the propionic acid content.

CONCLUSIONS

Melanoidins can regulate T2DM by activating the IRS-1/PI3K/Akt and AMPK-signaling pathways and ameliorating gut microbiota imbalances in T2DM mice. © 2024 Society of Chemical Industry.

Using gut microbiome metagenomic hypervariable features for diabetes screening and typing through supervised machine learning

Diabetes mellitus is a complex metabolic disorder and one of the fastest-growing global public health concerns. The gut microbiota is implicated in the pathophysiology of various diseases, including diabetes. This study utilized 16S rRNA metagenomic data from a volunteer citizen science initiative to investigate microbial markers associated with diabetes status (positive or negative) and type (type 1 or type 2 diabetes mellitus) using supervised machine learning (ML) models. The diversity of the microbiome varied according to diabetes status and type. Differential microbial signatures between diabetes types and negative group revealed an increased presence of Brucellaceae, Ruminococcaceae, Clostridiaceae, Micrococcaceae, Barnesiellaceae and Fusobacteriaceae in subjects with diabetes type 1, and Veillonellaceae, Streptococcaceae and the order Gammaproteobacteria in subjects with diabetes type 2. The decision tree, elastic net, random forest (RF) and support vector machine with radial kernel ML algorithms were trained to screen and type diabetes based on microbial profiles of 76 subjects with type 1 diabetes, 366 subjects with type 2 diabetes and 250 subjects without diabetes. Using the 1000 most variable features, tree-based models were the highest-performing algorithms. The RF screening models achieved the best performance, with an average area under the receiver operating characteristic curve (AUC) of 0.76, although all models lacked sensitivity. Reducing the dataset to 500 features produced an AUC of 0.77 with sensitivity increasing by 74% from 0.46 to 0.80. Model performance improved for the classification of negative-status and type 2 diabetes. Diabetes type models performed best with 500 features, but the metric performed poorly across all model iterations. ML has the potential to facilitate early diagnosis of diabetes based on microbial profiles of the gut microbiome.

Flavonoid-Rich Extracts from Chuju (Asteraceae Chrysanthemum L.) Alleviate the Disturbance of Glycolipid Metabolism on Type 2 Diabetic Mice via Modulating the Gut Microbiota

Type 2 diabetes mellitus (T2DM) and its associated complications represent a significant public health issue affecting hundreds of millions of people globally; thus, measures to prevent T2DM are urgently needed. Chuju has been proven to possess antihyperglycemic activity. However, the bioactive ingredients in chuju that contribute to its antihyperglycemic activity, as well as the relationship between its antihyperglycemic activity and the gut microbiota, remain unclear. To understand the potential effects that it has on T2DM, the glycolipid metabolism and gut microbiota regulation of flavonoid-rich extracts from chuju (CJE) were investigated. The results showed that the top ten flavonoid compounds in CJE are Apigenin 6, 8-digalactoside, Apigenin 6-C-glucoside 8-C-arabinoside, Luteolin-4'-O-glucoside, Isoshaftoside, Scutellarin, Quercetin 3-O-malonylglucoside, Chrysoeriol 7-O-glucoside, Quercetin-3,4'-O-di-beta-glucoside, Luteolin 6-C-glucoside 8-C-arabinoside, and Homoorientin. Furthermore, CJE mitigated hyperglycemia and glycolipid metabolism by reducing the abundance of Faecalibaculum, Coriobacteriaceae, and Romboutsia and increasing the abundance of Alistipes. In addition, the results of Western blot analysis showed that CJE could enhance glycogen synthesis and glucose transport by up-regulating the phosphorylation of IRS1-PI3K-Akt and AMPK-GLUT4. Simultaneously, CJE could decrease gluconeogenesis by down-regulating the phosphorylation of FoxO1/GSK 3β. In conclusion, the findings of this study provide new evidence supporting the hypothesis that CJE can be used as part of a therapeutic approach for treating disturbances in glycolipid metabolism via regulating the gut microbiota and mediating the IRS1-PI3K-Akt-FoxO1/GSK 3β and AMPK-GLUT4 pathways.

Astragalus Mongholicus Polysaccharides Alleviate Kidney Injury in Rats with Type 2 Diabetes Through Modulation of Oxidation, Inflammation, and Gut Microbiota

We aimed to uncover the underlying mechanisms contributing to the therapeutic efficacy of Astragalus mongholicus Polysaccharides (mAPS) in alleviating diabetic nephropathy (DN). The rat model of DN was subjected to a high-sugar and high-fat diet (HSHFD) coupled with streptozotocin (STZ) injection. Our findings revealed that mAPS administration decreased fasting blood glucose (FBG), BUN, SCR, UA, and MDA levels, while elevating serum GSH, GSH-PX, and SOD activities in DN rats (p < 0.05). Furthermore, there was a notable rise in the mRNA and protein expression of renal Nrf-2, GCLC, NQO1, and HO-1 post mAPS treatment (p < 0.05). Additionally, mAPS supplementation led to reduced protein expression of TLR4, NLRP3, p-NF-κB, TGF-β, and Smad4. Concurrently, mAPS exerted a modulatory effect on gut microbiota, as evidenced by the increased abundance of Muribaculaceae, Ruminococcus_1, Phascolarctobacterium, and Lachnoclostridium-related genera. Spearman correlation analysis illustrated a negative association between the abundance of microbiota (Muribaculaceae, Lachnospiraceae_NK4A136, Ruminococcus_1, Clostridiales) and the levels of serum parameters (BUN, CR, UA, TC, TG). In summary, our data robustly attests to the potential of mAPS in modulating oxidative stress, inflammation, and gut microbiota, ultimately resulting in improved renal function in DN rats.

Exploring Mechanism of Electroacupuncture in Modulating Neuroinflammation Based on Intestinal Flora and Its Metabolites

Neuroinflammatory responses play an important role in the pathogenesis of various diseases, particularly those affecting the central nervous system. Inhibition of neuroinflammation is a crucial therapeutic strategy for the management of central nervous system disorders. The intestinal microbial-gut-brain axis serves as a key regulatory pathway that modulates neuroinflammatory processes. Intestinal flora metabolites such as short-chain fatty acids, indoles and their derivatives, lipopolysaccharides, trimethylamine oxide, and secondary bile acids exert direct or indirect effects on neuroinflammation. Studies have shown that electroacupuncture (EA) modulates the composition of the intestinal microbiota and its metabolites, while also suppressing neuroinflammation by targeting the TLR4/NF- κ B, NLRP3/caspase-1, and microglial cell M2-type transformation pathways. This review discusses the mechanisms by which EA regulates neuroinflammation via intestinal microbiota and its metabolites, providing information and a foundation for further investigation of the precise therapeutic mechanisms of EA in neurological disorders.

Gut-kidney interaction reinforces dapagliflozin-mediated alleviation in diabetic nephropathy

Intestinal microbiota are pathophysiologically involved in diabetic nephropathy (DN). Dapagliflozin, recognized for its blood glucose-lowering effect, has demonstrated efficacy in improving DN. However, the mechanisms beyond glycemic control that mediate the impact of dapagliflozin on DN remain unclear. Here, we investigated the effects of dapagliflozin on DN and gut microbiota, elucidating how it mitigates DN via the gut-kidney axis. Low-dose dapagliflozin markedly ameliorated renal inflammation and fibrosis and improved gut barrier function in high-fat diet (HFD)/streptozotocin (STZ)-induced DN mice and db/db mice without affecting blood glucose levels. These effects were associated with altered gut microbial composition and function. Eradication of the resident microbiota abolished the protective effects of dapagliflozin against kidney injury in DN mice. Moreover, dapagliflozin significantly altered microbial metabolites in DN mice, decreasing argininosuccinic acid (ASA) and palmitic acid (PA), while increasing S-allylcysteine (SAC) levels. ASA and PA increased the expression of renal inflammation- and fibrosis-related markers in HK-2 cells, whereas SAC ameliorated renal damage and altered the microbial composition in a manner similar to dapagliflozin in DN mice. Notably, Muribaculaceae and Desulfovibrionaceae were correlated with the alleviation of DN-associated renal dysfunction by low- and high-dose dapagliflozin treatments in DN mice. These findings demonstrate a potential application of dapagliflozin in managing DN by targeting the gut microbiota.NEW & NOTEWORTHY We demonstrated that dapagliflozin administration alleviated renal inflammation and fibrosis in vivo and in vitro, along with reshaping the gut microbiota composition and altering levels of key microbial metabolites, including argininosuccinic acid (ASA) and palmitic acid (PA), while increasing S-allylcysteine (SAC). Importantly, the genera Muribaculaceae and Desulfovibrionaceae emerged as pivotal microbial genera mediating the protective effects of dapagliflozin against diabetic nephropathy.

Specific gFET-Based Aptasensors for Monitoring of Microbiome Quality: Quantification of the Enteric Health-Relevant Bacterium Roseburia Intestinalis

Roseburia intestinalis, enriched in the gut, is closely associated with obesity, intestinal inflammation, and other diseases. A novel detection method for R. intestinalis to replace the commonly used 16S rRNA sequencing technique is aim to developed, thus enabling real-time and low-cost monitoring of gut microbiota. The optimal solution is to utilize rGO-FET (reduced graphene oxide field-effect transistor) functionalized with aptamers. Due to the high sensitivity of graphene sensors to electronic changes in the system, it is anticipated to achieve detection sensitivity that traditional fluorescence detection techniques cannot attain. The previous work reported a nucleic acid aptamer library, Ri 7_2, capable of quantitatively tracking R. intestinalis in complex systems. However, due to the complexity of the aptamer library itself, large-scale industrial synthesis is challenging, significantly limiting its further commercial application potential. Therefore, in this study, through Next-Generation Sequencing analysis, four representative single aptamers from the aptamer library is strategically selected, named A-Rose 1, A-Rose 2, A-Rose 3, and A-Rose 4, and confirmed their excellent performance similar to the aptamer library Ri 7_2. Furthermore, aptamer-modified rGO-FET demonstrated universality in detecting R. intestinalis in a series of biochemical analyses, providing a novel and powerful diagnostic tool for the clinical diagnosis of R. intestinalis.

The Bromodomain and Extraterminal Protein Inhibitor Apabetalone Ameliorates Kidney Injury in Diabetes by Regulating Cholesterol Accumulation and Modulating the Gut Microbiota

Introduction

A US Food and Drug Administration-approved new bromodomain (BRD) and extraterminal (BET) bromine domain antagonist called apabetalone, which targets BRD4, has been shown to increase prebeta-1 high-density lipoprotein (HDL) particles, enhance apolipoprotein A-I in both humans and animals, and restore angiogenesis in experimental diabetes. Its action is not however fully known mechanistically. The objective of our research was to investigate the impact of apabetalone on renal damage linked to diabetic kidney disease (DKD).

Methods

This research employed both pharmacological and genetic methods to examine the impact of apabetalone on db/db (BKS. Cg-leprdb/leprdb) mice and human tubular epithelial cells (HK-2).

Results

Here, significant reductions in blood creatinine, urea nitrogen, and urinary albumin-to-creatinine ratio (UACR) levels, serum triglycerides (TGs) and serum total cholesterol (TC), as well as ectopic lipid droplet formation in renal tissue, were seen in the db/db mice following apabetalone therapy. Analysis of the gut microbiota revealed changes in its composition. Significantly, the proportion of Firmicutes to Bacteroidetes decreased, as well as Deferribacterota, indicating a positive influence on lipid metabolism. Untargeted metabolomic analysis indicated that the ABC transporter signaling pathway, implicated in cholesterol metabolism, was enriched. Moreover, peroxisome proliferator-activated receptor gamma (PPARγ)/liver X receptor (LXR)/adenosine triphosphate-binding cassette transporter A1 (ABCA1) protein, and mRNA level, as well as fibrosis-related marker proteins, fibronectin and collagen I were all improved by apabetalone.

Conclusion

Therefore, we suggest that apabetalone showed significant antihyperlipidemic and antifibrotic effects, closely associated with alterations in the gut microbiota and cholesterol metabolism. The results of this investigation provide fresh perspectives on the processes that underlie apabetalone's effects in db/db mice.

Synergistic Effects of Probiotics and Lifestyle Interventions on Intestinal Microbiota Composition and Clinical Outcomes in Obese Adults

BACKGROUND AND OBJECTIVE

Obesity is a growing global epidemic. The composition of the intestinal microbiota can be influenced by several factors. Studies highlight the role of intestinal bacteria in the pathophysiology of obesity. So, the objective of this study was to investigate whether the use of probiotics, together with healthy lifestyle habits, contributes to weight reduction in obese individuals by analyzing the intestinal microbiota profile.

METHODS

A prospective study was carried out with 45 adults with obesity. Participants underwent guidance on healthy lifestyle habits, received a probiotic component containing different microbiological strains and were followed for 60 days. Clinical parameters, body composition, biochemical analysis, and intestinal microbiota assessment were performed before and after treatment. After 60 days, it was observed that the bacterial strains present in the probiotic were present in the patients' intestinal microbiota. Participants also showed improvements in physical activity, sleep quality, and anxiety management, as well as changes in some eating habits, such as a reduction in the consumption of processed foods and a significant increase in water intake.

RESULTS

A reduction in BMI, fasting glucose, insulin, HOMA-IR, LDL cholesterol, and triglycerides was observed, in addition to an increase in HDL cholesterol, improvement in bowel movement frequency, and stool consistency. Analysis of the intestinal microbiota revealed an increase in microbial diversity and a better balance between the bacterial phyla Firmicutes and Bacteroidetes.

CONCLUSIONS

The changes related to improving the composition of the intestinal microbiota, dietary habits, increased physical activity, reduced anxiety, and better sleep quality have significantly contributed to weight loss and improvements in physiological parameters in obese individuals.

Causal relationship between 412 gut microbiota, 1,400 blood metabolites, and diabetic nephropathy: a randomized Mendelian study

Objective

The aim of this study was to investigate the causal relationship between microbiota, diabetic nephropathy, and blood metabolites through a randomized Mendelian study.

Methods

In this study, we used 412 microbiota as exposures, 1,400 blood metabolites as intermediaries, and diabetic nephropathy as the outcome. We conducted a two-way Mendelian randomization (MR) analysis to explore the causal relationship between microbiota and diabetic nephropathy, followed by mediation analyses and two-step MR to identify potential blood metabolites.

Results

There is a causal relationship between microbiota and diabetic nephropathy. Specific bacteria and metabolites, such as Escherichia coli str. K-12 substr. MG1655, Listeria monocytogenes 10403S, g_Adlercreutzia, g_Haemophilus, g_Bacteroides, and Escherichia coli CFT073, and metabolites like pyrraline, glycocholenate sulfate, alpha-ketoglutarate, tetradecadienoate (14:2), Cys-gly oxidized, methylsuccinate, and various others, were identified. Escherichia coli str. K-12 substr. MG1655 is positively related to alpha-ketoglutarate levels, while alpha-ketoglutarate levels and Sphingomyelin (d18:1/18:1, d18:2/18:0) are negatively related. The bacterial microbiota involved in fatty acid oxidation is associated with diabetic kidney disease (DKD) progression, positively correlated with glycocholenate sulfate levels, and negatively correlated with the phosphate linoleyl-tetraenyl-glycerol (18:2 to 20:4) ratio. Additionally, Listeria monocytogenes 10403S is positively correlated with N-acetyl-isoputreanine and negatively correlated with X-12462. Anaerobic fermentation-related bacteria were positively related to N-acetylcarnitine and 5-acetylamino-6-formyluracil and negatively correlated with 5-acetamino-6-amino-3-methyluracil (X-24243). Escherichia coli CFT073 was positively associated with X-16580. Interactions between Bacillus species and metabolites such as d18:1/18:1, d18:2/18:0, 2-aminophenol sulfate, and cholate were negative when compared to tetradecadienoate (14:2). g_Adlercreutzia is positively correlated with N-delta-acetylornithine, methylsuccinate, and N-acetyl-isoputreanine but negatively correlated with N-acetylglucosamine and N-acetylgalactosamine. g_Haemophilus was positively associated with arachidoylcarnitine but negatively correlated with X-24531. The results were heterogeneous and multi-efficacious.

Conclusions

For the first time, MR analysis provides supportive evidence for a bidirectional causal relationship between microbiota and diabetic nephropathy and identifies specific genes associated with the disease. The results suggest that probiotic therapy may play a significant role in preventing diabetic nephropathy and improving the quality of life and survival rates of affected patients. Furthermore, this study provides additional evidence of a causal relationship between specific microbiota, diabetic nephropathy, and blood metabolites.

Global research hotspots and trends in oxidative stress-related diabetic nephropathy: a bibliometric study

Background

Oxidative stress is widely acknowledged as a key pathogenic mechanism in diabetic nephropathy (DN). In recent years, the role of oxidative stress in DN has garnered increasing attention. However, no bibliometric analysis has yet been conducted on the relationship between oxidative stress and DN. This study aims to systematically analyze the relevant literature, identify trends in research, assess current hotspots, and predict future directions.

Methods

We retrieved literature related to oxidative stress and DN from the Web of Science Core Collection database. We analyzed data on publication volume, countries/regions, institutions, journals, keywords, and other relevant metrics using VOSviewer, the Bibliometrix R package, and CiteSpace.

Results

From 2014 to 2024, a total of 4076 publications related to oxidative stress and DN were published across 755 journals, showing a consistent upward trend each year. China and the United States are the leading contributors in this field and demonstrate close collaborative efforts. The top contributors by country, institution, journal, and author include: China (1919 publications), Jilin University and Central South University (69 publications each), BIOMEDICINE & PHARMACOTHERAPY (117 publications), and Prof. Sun Lin (33 publications). The most frequent keyword is "oxidative stress" (3683 occurrences). In the co-citation analysis, Alicic RZ's 2017 study was the most cited (144 citations). These findings highlight the critical importance of investigating the pathogenesis of DN from the oxidative stress perspective.

Conclusion

This study demonstrates a steady increase in research on oxidative stress in DN since 2014, highlighting its central role in the pathogenesis of DN. Future research should focus on the molecular mechanisms of oxidative stress in DN and explore its therapeutic potential, to provide new strategies for the prevention and treatment of DN.

Research progress of gut microbiome and diabetic nephropathy

Diabetic nephropathy is an important complication of diabetic microvascular injury, and it is also an important cause of end-stage renal disease. Its high prevalence and disability rate significantly impacts patients' quality of life while imposing substantial social and economic burdens. Gut microbiota affects host metabolism, multiple organ functions, and regulates host health throughout the life cycle. With the rapid development of technology, researchers have found that gut microbiota is closely related to the progression of diabetic kidney disease. This review explores the role of gut microbiome in diabetic nephropathy summarizing proposed mechanisms of progression and focusing on microbial metabolites, intestinal barrier disruption, inflammation, filtration barrier damage and renal fibrosis. This review also examines the mechanism and limitations of current treatments, including drugs, fecal microbiota transplantation, and lifestyle changes, offering new perspectives on prevention and treatment.

Causal Relationships Between Gut Microbiota, Metabolites, and Diabetic Nephropathy: Insights from a Two-Sample Mendelian Randomization Analysis

Background

 Previous studies have established a correlation between gut microbiota, metabolites, and diabetic nephropathy (DN). However, the inherent limitations of observational studies, including reverse causality and confounding factors, made this relationship uncertain.

Methods

In this study, we compiled summary statistics from a genome-wide association study (GWAS) conducted on gut microbiota, metabolites, and DN. We employed a two-sample Mendelian randomization (MR) approach, utilizing inverse variance weighted (IVW), MR-Egger, weighted median, and weighted mode methods.

Results

 We detected the protective nature of genetically predicted representatives from the family Bacteroidaceae (OR: 0.716, 95% CI: 0.516-0.995, p = 0.046), family Victivallaceae (OR: 0.871, 95% CI: 0.772-0.982, p = 0.026), genus Bacteroides (OR: 0.716, 95% CI: 0.516-0.995, p = 0.046), genus Coprococcus 2 (OR: 0.745, 95% CI: 0.576-0.963, p = 0.025), and genus Lactococcus (OR: 0.851, 95% CI: 0.730-0.992, p = 0.039) against the development of DN. Conversely, we identified a positive correlation between the incidence of DN and entities, such as Phylum Bacteroidetes (OR: 1.427, 95% CI: 1.085-1.875, p = 0.011), class Bacteroidia (OR: 1.304, 95% CI: 1.036-1.641,p = 0.024), order Bacteroidales (OR: 1.304, 95% CI: 1.035-1.641, p = 0.028), genus Catenibacterium (OR: 1.312, 95% CI: 1.079-1.594, p = 0.006), genus Lachnoclostridium (OR: 1.434, 95% CI: 1.129-1.821, p = 0.003), and genus Parasutterella (OR: 1.270, 95% CI: 1.070-1.510, p = 0.006). In our analysis, none of the gut metabolites demonstrated a causal relationship with DN.

Conclusion

 Our results substantiated the potential causal association between specific gut microbiota and DN. Therefore, our study offers novel insight into the mechanisms underlying DN. This finding provides a theoretical foundation for the future development of targeted strategies for the prevention and treatment of DN.

The Causal Relationship Between Skin Microbiota and Facial Aging: A Mendelian Randomization Study

BACKGROUND

Facial aging is a complex process influenced by environmental factors, genetics, and lifestyle. The contribution of the skin microbiota to this process remains poorly understood.

METHODS

This two-sample Mendelian randomization (MR) study was performed using genome-wide genotype data from the UK Biobank and previously published studies on skin microbiota. The primary approach for MR analyses included inverse-variance weighting (IVW), MR-Egger regression, simple mode, weighted median, and weighted mode methods. Sensitivity analyses were performed to assess heterogeneity and pleiotropy, and reverse-direction MR analyses were performed to evaluate potential reverse causation.

RESULTS

The MR analysis identified ten skin microbiotas with potential causal relationships with facial aging. Protective skin microbiotas included Genus Finegoldia, ASV011 [Staphylococcus (unc.)], ASV008 [Staphylococcus (unc.)], phylum Firmicutes, Family Rhodobacteraceae, and ASV021 [Micrococcus (unc.)], which were negatively associated with facial aging. Conversely, Order Pseudomonadales, Family Moraxellaceae, ASV039 [Acinetobacter (unc.)], and phylum Bacteroidetes were positively associated with facial aging, indicating a risk factor for accelerated aging. Sensitivity analyses confirmed the robustness of these findings, and reverse-direction MR analyses did not suggest any reverse causation.

CONCLUSION

This study identified specific skin microbial that may influence facial aging and offered new insights into the rejuvenation strategies.

NO LEVEL ASSIGNED

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Traditional Chinese medicine improved diabetic kidney disease through targeting gut microbiota

CONTEXT

Diabetic kidney disease (DKD) affects nearly 40% of diabetic patients, often leading to end-stage renal disease that requires renal replacement therapies, such as dialysis and transplantation. The gut microbiota, an integral aspect of human evolution, plays a crucial role in this condition. Traditional Chinese medicine (TCM) has shown promising outcomes in ameliorating DKD by addressing the gut microbiota.

OBJECTIVE

This review elucidates the modifications in gut microbiota observed in DKD and explores the impact of TCM interventions on correcting microbial dysregulation.

METHODS

We searched relevant articles from databases including Web of Science, PubMed, ScienceDirect, Wiley, and Springer Nature. The following keywords were used: diabetic kidney disease, diabetic nephropathy, gut microbiota, natural product, TCM, Chinese herbal medicine, and Chinese medicinal herbs. Rigorous criteria were applied to identify high-quality studies on TCM interventions against DKD.

RESULTS

Dysregulation of the gut microbiota, including Lactobacillus, Streptococcus, and Clostridium, has been observed in individuals with DKD. Key indicators of microbial dysregulation include increased uremic solutes and decreased short-chain fatty acids. Various TCM therapies, such as formulas, tablets, granules, capsules, and decoctions, exhibit unique advantages in regulating the disordered microbiota to treat DKD.

CONCLUSION

This review highlights the importance of targeting the gut-kidney axis to regulate microbial disorders, their metabolites, and associated signaling pathways in DKD. The Qing-Re-Xiao-Zheng formula, the Shenyan Kangfu tablet, the Huangkui capsule, and the Bekhogainsam decoction are potential candidates to address the gut-kidney axis. TCM interventions offer a significant therapeutic approach by targeting microbial dysregulation in patients with DKD.

Association between the gut microbiota and diabetic nephropathy: a two-sample Mendelian randomization study

Numerous studies have revealed a correlation between the risk of developing diabetic nephropathy (DN) and the gut microbiota (GM) composition. However, it remains uncertain whether the GM composition causes DN. We aimed to explore any potential causal links between the GM composition and the risk of developing DN. A meta-analysis conducted by the MiBioGen consortium of the largest genome-wide association study (GWAS) provided aggregated data on the GM. DN data were obtained from the IEU database. The inverse-variance weighting (IVW) method was employed as the primary analytical approach. The IVW analysis indicated that genus Dialister (OR = 0.51, 95% CI: 0.34-0.77, p = 0.00118) was protective against DN. In addition, class Gammaproteobacteria (OR = 0.47, 95% CI: 0.27-0.83, p = 0.0096), class Lentisphaeria (OR =0.76, 95% CI: 0.68-0.99, p = 0.04), order Victivallales (OR = 0.76, 95% CI: 0.58-0.99, p = 0.04), and phylum Proteobacteria (OR = 0.53, 95% CI: 0.33-0.85, p = 0.00872) were negatively associated with the risk of developing DN. Genus LachnospiraceaeUCG008 (OR =1.45, 95% CI: 1.08-1.95, p = 0.01), order Bacteroidales (OR = 1.59, 95% CI: 1.02-2.49, p = 0.04), and genus Terrisporobacter (OR = 1.98, 95% CI: 1.14-3.45, p = 0.015) were positively associated with the risk of developing DN. In this study, we established a causal relationship between the genus Dialister and the risk of developing DN. Further trials are required to confirm the protective effects of probiotics on DN and to elucidate the precise protective mechanisms involving genus Dialister and DN.

Gut microbiota, physical activity and/or metabolic markers in healthy individuals - towards new biomarkers of health

Background

The global prevalence of the metabolic disease Type 2 Diabetes (T2D) is increasing. Risk factors contributing to the development of T2D include overweight and obesity, lack of physical activity (PA), and an unhealthy diet. In addition, the gut microbiota has been shown to affect metabolic regulation. Since T2D is preventable, efforts should be put into the discovery of new biomarkers for early detection of individuals at risk of developing the disease.

Objective

The objective of the cross-sectional study was to explore the relationship between gut microbiota and physical activity (PA) and/or metabolic markers such as selected amino acids (AA), markers of glycaemic regulation and lipid metabolism and anthropometric measures.

Design

Healthy adults (18 and 65 years) with BMI between 18.5 and 27.5 kg/m2 originally recruited to a randomised controlled trial (RCT) (n = 17: six males, eleven females), were included in this exploratory cross-sectional study. Physical activity data was calculated based on a 3-days registration, and blood metabolome, gut microbiota analyses and anthropometric measures from one visit of the intervention were used in this cross-sectional study.

Results

Of the 47 gut bacteria analysed, there were a total of 87 significant correlations with AA, PA, body composition and/or metabolic markers. Several of the gut bacteria correlated with both PA, metabolic or anthropometric markers.

Conclusion

In this study, we demonstrate associations between gut bacteria and PA and/or metabolic markers including AA in healthy individuals. The results may guide future studies aiming at identifying new and early biomarkers of metabolic health and diseases.

Exploring gut microbiota diurnal fluctuation in alcohol-dependent patients with sleep disturbance

Introduction. Alcohol dependence (AD) and sleep disturbance (SD) independently affect gut microbiota, potentially disrupting the circadian rhythm of the microbiota and the host. However, the impact of SD on the composition and rhythmicity of gut flora in AD patients remains poorly understood.Gap Statement. Characteristics of gut flora and diurnal oscillations in AD patients experiencing SD are unknown.Aim. This study aims to explore alterations in gut flora and diurnal oscillations in AD patients experiencing SD.Methodology. Thirty-two AD patients and 20 healthy subjects participated, providing faecal samples at 7 : 00 AM, 11 : 00 AM, 3 : 00 PM and 7 : 00 PM for gut microbiota analysis using 16S rDNA sequencing. AD patients were further categorized into those with poor sleep (ADwPS) and those with good sleep (ADwGS) for further analyses.Results. The ADwPS group demonstrated elevated levels of anxiety, depression and withdrawal severity compared to the ADwGS group (all P<0.05). The β-diversity of gut microbiota in the ADwPS group differed from that in the ADwGS group (P<0.05). Bacterial abundances at various taxonomic levels, including Cyanobacteria and Pseudomonadales, differed between the ADwPS and ADwGS groups (all P<0.05). Utilizing unweighted UniFrac analysis, the β-diversity of gut microbiota in the ADwPS group demonstrated robust diurnal oscillation (P<0.05), whereas this pattern was statistically insignificant in the ADwGS group. Notably, the abundance of pathogenic bacteria like Pseudomonadales and Pseudomonadaceae exhibited marked diurnal fluctuation in the ADwPS group (all P<0.05).Conclusion. SD in AD patients extends beyond alcohol-induced alterations, impacting gut microbiota composition, function and diurnal oscillation patterns. This highlights its add-on influence, supplementing AD-related changes.

Analysis of the global burden of CKD-T2DM in young and middle-aged adults in 204 countries and territories from 2000 to 2019: A systematic study of the global burden of disease in 2019

BACKGROUND

Diabetes stands as a principal risk factor for severe complications including renal and cardiovascular diseases. The gradual rise in type 2 diabetes cases globally, coupled with a trend towards younger demographics, has led to an escalating prevalence of chronic kidney disease. However, its etiology is multifaceted, necessitating individualized treatment and refinement, particularly crucial in screening and managing the burden of CKD-T2DM. A comprehensive analysis of CKD-T2DM burden at global, regional, and national levels from 2000 to 2019, based on the latest data, can inform screening, early diagnostics, and treatment strategies, thereby optimizing healthcare resource allocation.

METHODS

Utilizing data sourced from the Global Burden of Disease (GBD) database, we delineated the incidence, mortality, and DALYs rates of CKD-T2DM from 2000 to 2019 across global, regional, and national scales. We summarized the age-standardized incidence rate (ASIR), age-standardized mortality rate (ASMR), and age-standardized death rate (ASDR) of CKD-T2DM globally, regionally, and nationally, presenting them visually. Moreover, we calculated and visually depicted the estimated annual percentage change (EAPC) of various CKD-T2DM indicators at these levels. Additionally, CKD-T2DM patients were stratified by age to compare the age distribution of patient deaths and the age burden between 2000 and 2019.

FINDINGS

The disease burden of CKD-T2DM among young and middle-aged individuals globally has shown a sustained increase from 2000 to 2019. Incidence, mortality, and DALYs rates have exhibited an overall upward trend, with males showing higher rates compared to females. Significant disparities exist among different countries and regions, with India, China, and Mexico emerging as the countries with the highest number of new cases. Nicaragua, Mexico, and the United Arab Emirates have the highest age-standardized incidence rates, whereas Uganda, Ethiopia, and Burundi have the lowest. At the age level, the burden of CKD-T2DM exhibits varying trends among different age groups but generally shows an upward trajectory, particularly in the 45-49 age bracket. High systolic blood pressure and high BMI stand as the primary contributing factors to mortality and DALYs, with variations in their influence observed across different regions and levels of development.

INTERPRETATION

ver the past 20 years, the burden of CKD-T2DM among young and middle-aged individuals globally has continued to increase, with disparities existing among different countries, regions, and age groups, but overall showing an upward trend. The reasons for this trend are multifaceted, including global lifestyle changes such as dietary shifts, sedentary lifestyles, obesity, as well as population aging and inadequate preventive measures in certain regions. Addressing these challenges necessitates optimizing screening methods, adjusting lifestyles, enhancing management strategies, improving medical care and awareness levels, particularly intensifying awareness and screening efforts among males, reinforcing prevention and control measures for the 45-49 age group, enhancing infrastructure and healthcare resources in developing countries, fostering international collaboration, and implementing context-specific measures.

Role of Bile Acid Receptors in the Development and Function of Diabetic Nephropathy

Diabetic nephropathy (DN) is a prevalent microvascular complication that occurs often in individuals with diabetes. It significantly raises the mortality rate of affected patients. Therefore, there is an urgent need to identify therapeutic targets for controlling and preventing the occurrence and development of DN. Bile acids (BAs) are now recognized as intricate metabolic integrators and signaling molecules. The activation of BAs has great promise as a therapeutic approach for preventing DN, renal damage caused by obesity, and nephrosclerosis. The nuclear receptors (NRs), farnesoid X receptor (FXR), pregnane X receptor (PXR), vitamin D receptor (VDR); and the G protein-coupled BA receptor, Takeda G-protein-coupled receptor 5 (TGR5) have important functions in controlling lipid, glucose, and energy metabolism, inflammation, as well as drug metabolism and detoxification. Over the past 10 years, there has been advancement in comprehending the biology and processes of BA receptors in the kidney, as well as in the creation of targeted BA receptor agonists. In this review, we discuss the role of BA receptors, FXR, PXR, VDR, and TGR5 in DN and their role in renal physiology, as well as the development and application of agonists that activate BA receptors for the treatment of kidney diseases.

Genetic Evidence for the Causal Relationship Between Gut Microbiota and Diabetic Kidney Disease: A Bidirectional, Two-Sample Mendelian Randomisation Study

Aims: According to the gut-kidney axis theory, gut microbiota (GM) has bidirectional crosstalk with the development of diabetic kidney disease (DKD). However, empirical results have been inconsistent, and the causal associations remain unclear. This study was aimed at exploring the causal relationship between GM and DKD as well as the glomerular filtration rate (GFR) and urinary albumin-to-creatinine ratio (UACR). Materials and Methods: Two-sample Mendelian randomisation (MR) analysis was performed with inverse-variance weighting as the primary method, together with four additional modes (MR-Egger regression, simple mode, weighted mode, and weighted median). We utilised summary-level genome-wide association study statistics from public databases for this MR analysis. Genetic associations with DKD were downloaded from the IEU Open GWAS project or CKDGen consortium, and associations with GM (196 taxa from five levels) were downloaded from the MiBioGen repository. Results: In forward MR analysis, we identified 13 taxa associated with DKD, most of which were duplicated in Type 2 diabetes with renal complications but not in Type 1 diabetes. We observed a causal association between genetic signature contributing to the relative abundance of Erysipelotrichaceae UCG003 and that for both DKD and GFR. Similarly, host genetic signature defining the abundance of Ruminococcaceae UCG014 was found to be simultaneously associated with DKD and UACR. In reverse MR analysis, the abundance of 14 other GM taxa was affected by DKD, including the phylum Proteobacteria, which remained significant after false discovery rate correction. Sensitivity analyses revealed no evidence of outliers, heterogeneity, or horizontal pleiotropy. Conclusion: Our findings provide compelling causal genetic evidence for the bidirectional crosstalk between specific GM taxa and DKD development, contributing valuable insights for a comprehensive understanding of the pathological mechanisms of DKD and highlighting the possibility of prevention and management of DKD by targeting GM.

A graminan type fructan from Achyranthes bidentata prevents the kidney injury in diabetic mice by regulating gut microbiota

Diabetic kidney disease (DKD) is the main cause of end-stage renal disease, and few therapeutic options are available. The root of Achyranthis bidentatae (AB) is commonly used for DKD treatment in Traditional Chinese medicine. However, its mechanisms are still unclear. Here, a graminan type fructan ABPW1 with molecular weight of 3998 Da was purified from AB. It was composed of β-1,2-linked Fruf, β-2,6-linked-Fruf and β-1,2,6-linked-Fruf backbone, and terminated with T-Glcp and 2-Fruf residues. ABPW1 protected against kidney injuries and intestinal barrier disruption in Streptozotocin (STZ)/High fat diet (HFD) mice. It could modulate gut microbiota composition, evidenced by a rise in the abundance of Bacteroide and decreases of Rikenella, Alistipes, Laedolimicola and Faecalibaculum. ABPW1 intervention promoted short chain fatty acids (SCFAs) production in STZ/HFD mice, especially propionate and isobutyric acid. Antibiotic treatment further demonstrated the key role of gut microbiota in the renal protective action of ABPW1. In addition, in vitro simulated digestion and fermentation together with in vivo fluorescent labeling studies demonstrated ABPW1 was indigestible in upper digestive tract but could reach the colon and be degraded into SCFAs by gut microbiota there. Overall, these data suggested ABPW1 has the potential application on DKD prevention.

Analysis of the microecological mechanism of diabetic kidney disease based on the theory of "gut-kidney axis": A systematic review

Diabetic kidney disease (DKD) is one of the main microvascular complications of diabetes mellitus, as well as the leading cause of end-stage renal disease. Intestinal microbiota has emerged as a crucial regulator of its occurrence and development. Dysbiosis of the intestinal microbiota can disrupt the intestinal mucosal barrier, abnormal immunological response, reduction in short-chain fatty acid metabolites, and elevation of uremic toxins, all closely related to the occurrence and development of DKD. However, the underlying mechanisms of how intestinal microbiota and its metabolites influence the onset and progression of DKD has not been fully elucidated. In the current review, we will try to summarize the microecological mechanism of DKD by focusing on three aspects: the intestinal microbiota and its associated metabolites, and the "gut-kidney axis," and try to summarize therapies targeted at managing the intestinal microbiota, expecting to provide theoretical basis for the subsequent study of the relationship between intestinal homeostasis and DKD, and will open an emerging perspective and orientation for DKD treatment.

Gut microbiota profiling reflects the renal dysfunction and psychological distress in patients with diabetic kidney disease

Background

The gut microbiota plays a pivotal role in the development of diabetes and kidney disease. However, it is not clear how the intestinal microecological imbalance is involved in the context of diabetic kidney disease (DKD), the leading cause of renal failure.

Objectives

To elucidate the gut microbial signatures associated with DKD progression towards end-stage renal disease (ESRD) and explore whether they could reflect renal dysfunction and psychological distress.

Methods

A cross-sectional study was conducted to explore the gut microbial signatures of 29 DKD non-ESRD patients and 19 DKD ESRD patients compared to 20 healthy controls. Differential analysis was performed to detect distinct gut microbial alterations in diversities and taxon abundance of DKD with and without ESRD. Renal dysfunction was estimated by urea, creatinine, and estimated glomerular filtration rate. Psychological distress was assessed using the Self-Rating Anxiety Scale, Self-Rating Depression Scale, Hamilton Anxiety Rating Scale, and Hamilton Depression Rating Scale.

Results

Alpha diversity indexes were reduced in DKD patients, particularly those with ESRD. Beta diversity analysis revealed that the gut microbial compositions of DKD patients were different with healthy individuals whereas similar compositions were observed in DKD patients. Taxon differential analysis showed that when compared with the controls, DKD patients exhibit distinct microbial profiles including reduced abundances of butyrate-produced, anti-inflammatory bacteria Faecalibacterium, Lachnospira, Roseburia Lachnoclostridium, and increased abundances of pro-inflammatory bacteria Collinsella, Streptococcus etc. These distinctive genera presented consistent associations with renal dysfunction, as well as psychological distress, especially in DKD patients.

Conclusions

DKD patients, especially those who have progressed to ESRD, exhibit unique characteristics in their gut microbiota that are associated with both renal dysfunction and psychological distress. The gut microbiota may be a significant factor in the deterioration of DKD and its eventual progression to ESRD.

Association between gut microbiota and diabetic nephropathy: a two-sample Mendelian randomization study

Background

To clarify the causal relationship between gut microbiota and diabetic nephropathy (DN), we employed Mendelian randomization (MR). Despite a strong correlation observed, establishing causality is still unclear. By utilizing MR, we aimed to investigate this relationship further and shed light on the potential causal effect of gut microbiota on DN.

Methods

Genetic instrumental variables for gut microbiota were obtained from a GWAS with 18340 participants. DN summary statistics (1032 cases, 451248 controls) were sourced from a separate GWAS. The primary analysis used the inverse-variance weighted (IVW) method. Reverse MR analysis was conducted to explore reverse causation. Rigorous sensitivity analyses were performed to ensure the resilience and reliability of the study's findings.

Results

We found two bacterial traits associated with an increased risk of DN: genus LachnospiraceaeUCG008 (OR: 1.4210; 95% CI: 1.0450, 1.9322; p = 0.0250) and genus Terrisporobacter (OR: 1.9716; 95% CI: 1.2040, 3.2285; p = 0.0070). Additionally, phylum Proteobacteria (OR: 0.4394; 95% CI: 0.2721, 0.7096; p = 0.0008) and genus Dialister (OR: 0.4841; 95% CI: 0.3171, 0.7390; p = 0.0008) were protective against DN. Sensitivity analyses consistently supported these results. In the reverse MR analysis, no statistically significant associations were observed between DN and these four bacterial traits.

Conclusions

Our analyses confirmed a potential causal relationship between certain gut microbiota taxa and the risk of DN. However, additional studies are required to elucidate the underlying mechanisms through which gut microbiota influences the development of DN.

Kidney tea [Orthosiphon aristatus (Blume) Miq.] improves diabetic nephropathy via regulating gut microbiota and ferroptosis

Introduction

Diabetic nephropathy (DN) is the leading cause of end-stage renal disease. Due to its complex pathogenesis, new therapeutic agents are urgently needed. Orthosiphon aristatus (Blume) Miq., commonly known as kidney tea, is widely used in DN treatment in China. However, the mechanisms have not been fully elucidated.

Methods

We used db/db mice as the DN model and evaluated the efficacy of kidney tea in DN treatment by measuring fasting blood glucose (FBG), serum inflammatory cytokines, renal injury indicators and histopathological changes. Furthermore, 16S rDNA gene sequencing, untargeted serum metabolomics, electron microscope, ELISA, qRT-PCR, and Western blotting were performed to explore the mechanisms by which kidney tea exerted therapeutic effects.

Results

Twelve polyphenols were identified from kidney tea, and its extract ameliorated FBG, inflammation and renal injury in DN mice. Moreover, kidney tea reshaped the gut microbiota, reduced the abundance of Muribaculaceae, Lachnoclostridium, Prevotellaceae_UCG-001, Corynebacterium and Akkermansia, and enriched the abundance of Alloprevotella, Blautia and Lachnospiraceae_NK4A136_group. Kidney tea altered the levels of serum metabolites in pathways such as ferroptosis, arginine biosynthesis and mTOR signaling pathway. Importantly, kidney tea improved mitochondrial damage, increased SOD activity, and decreased the levels of MDA and 4-HNE in the renal tissues of DN mice. Meanwhile, this functional tea upregulated GPX4 and FTH1 expression and downregulated ACSL4 and NCOA4 expression, indicating that it could inhibit ferroptosis in the kidneys.

Conclusion

Our findings imply that kidney tea can attenuate DN development by modulating gut microbiota and ferroptosis, which presents a novel scientific rationale for the clinical application of kidney tea.

Evaluating new biomarkers for diabetic nephropathy: Role of α2-macroglobulin, podocalyxin, α-L-fucosidase, retinol-binding protein-4, and cystatin C

BACKGROUND

The intricate relationship between type 2 diabetes mellitus (T2DM) and diabetic nephropathy (DN) presents a challenge in understanding the significance of various biomarkers in diagnosis.

AIM

To elucidate the roles and diagnostic values of α2-macroglobulin (α2-MG), podocalyxin (PCX), α-L-fucosidase (AFU), retinol-binding protein-4 (RBP-4), and cystatin C (CysC) in DN.

METHODS

From December 2018 to December 2020, 203 T2DM patients were enrolled in the study. Of these, 115 were diagnosed with DN (115 patients), while the remaining 88 patients were classified as non-DN. The urinary levels of α2-MG, PCX, and AFU and the serum concentrations RBP-4 and CysC were measured in conjunction with other relevant clinical indicators to evaluate their potential correlations and diagnostic utility.

RESULTS

After adjustments for age and gender, significant positive correlations were observed between the biomarkers CysC, RBP-4, α2-MG/urinary creatinine (UCr), PCX/UCr, and AFU/UCr, and clinical indicators such as urinary albumin-to-creatinine ratio (UACR), serum creatinine, urea, 24-h total urine protein, and neutrophil-to-lymphocyte ratio (NLR). Conversely, these biomarkers exhibited negative correlations with the estimated glomerular filtration rate (P < 0.05). Receiver operating characteristic (ROC) curve analysis further demonstrated the diagnostic performance of these biomarkers, with UACR showcasing the highest area under the ROC curve (AUCROC) at 0.97.

CONCLUSION

This study underscores the diagnostic significance of α2-MG, PCX, and AFU in the development of DN. The biomarkers RBP-4, CysC, PCX, AFU, and α2-MG provide promising diagnostic insights, while UACR is the most potent diagnostic biomarker in assessing DN.

Zn(II)-curcumin prevents cadmium-aggravated diabetic nephropathy by regulating gut microbiota and zinc homeostasis

Background: Diabetic nephropathy (DN) is known as the most common complication of diabetes, resulting from a complex inheritance-environment interaction without effective clinical treatments. Herein, we revealed the protective effects and mechanisms of Zn(II)-curcumin, a curcumin derivative, against streptozotocin-induced DN in rats in the presence or absence of cadmium exposure. Methods: The present study focused on investigating the therapy of Zn(II)-curcumin against cadmium-aggravated DN by regulating gut microbiota, metabolism, inflammation and zinc homeostasis based on pathological changes, TLR4/NF-κB signaling pathway, inductively coupled plasma-mass spectrometry (ICP-MS), 16S rRNA gene sequencing and gas chromatography-mass spectrometer (GC-MS). Results: We found Zn(II)-curcumin significantly mitigated the cadmium-aggravated phenotypes of diabetic nephropathy, as indicated by the remission of renal dysfunction, pathological changes, inflammation and zinc dyshomeostasis in streptozotocin-treated rats exposed to cadmium. Administration of Zn(II)-curcumin significantly alleviated the dysbiosis of gut microbiota and the changes of serum metabolite profiles in rats treated with streptozotocin in combination with cadmium. Notably, fecal microbial transplantation identified the ability of Zn(II)-curcumin to regulate renal function, inflammation and zinc homeostasis was partly dependent on the gut microbiota. Conclusion: These findings revealed that Zn(II)-curcumin alleviated cadmium-aggravated diabetic nephropathy by reshaping the gut microbiota and zinc homeostasis, which provided unique insights into the mechanisms of the treatment and prevention of diabetic nephropathy.

Gut microbiota microbial metabolites in diabetic nephropathy patients: far to go

Diabetic nephropathy (DN) is one of the main complications of diabetes and a major cause of end-stage renal disease, which has a severe impact on the quality of life of patients. Strict control of blood sugar and blood pressure, including the use of renin-angiotensin-aldosterone system inhibitors, can delay the progression of diabetic nephropathy but cannot prevent it from eventually developing into end-stage renal disease. In recent years, many studies have shown a close relationship between gut microbiota imbalance and the occurrence and development of DN. This review discusses the latest research findings on the correlation between gut microbiota and microbial metabolites in DN, including the manifestations of the gut microbiota and microbial metabolites in DN patients, the application of the gut microbiota and microbial metabolites in the diagnosis of DN, their role in disease progression, and so on, to elucidate the role of the gut microbiota and microbial metabolites in the occurrence and prevention of DN and provide a theoretical basis and methods for clinical diagnosis and treatment.

Iridoids modulate inflammation in diabetic kidney disease: A review

In recent years, preclinical research on diabetic kidney disease (DKD) has surged to the forefront of scientific and clinical attention. DKD has become a pervasive complication of type 2 diabetes. Given the complexity of its etiology and pathological mechanisms, current interventions, including drugs, dietary modifications, exercise, hypoglycemic treatments and lipid-lowering methods, often fall short in achieving desired therapeutic outcomes. Iridoids, primarily derived from the potent components of traditional herbs, have been the subject of long-standing research. Preclinical data suggest that iridoids possess notable renal protective properties; however, there has been no summary of the research on their efficacy in the management and treatment of DKD. This article consolidates findings from in vivo and in vitro research on iridoids in the context of DKD and highlights their shared anti-inflammatory activities in treating this condition. Additionally, it explores how certain iridoid components modify their chemical structures through the regulation of intestinal flora, potentially bolstering their therapeutic effects. This review provides a focused examination of the mechanisms through which iridoids may prevent or treat DKD, offering valuable insights for future research endeavors. Please cite this article as: Zhou TY, Tian N, Li L, Yu R. Iridoids modulate inflammation in diabetic kidney disease: A review. J Integr Med. 2024; 22(3): 210-222.

Causal effect of gut microbiota and diabetic nephropathy: a Mendelian randomization study

BACKGROUND

The interaction of dysbiosis of gut microbiota (GM) with diabetic nephropathy (DN) drew our attention and a better understanding of GM on DN might provide potential therapeutic approaches. However, the exact causal effect of GM on DN remains unknown.

METHODS

We applied two-sample Mendelian Randomization (MR) analysis, including inverse variance weighted (IVW), MR-Egger methods, etc., to screen the significant bacterial taxa based on the GWAS data. Sensitivity analysis was conducted to assess the robustness of MR results. To identify the most critical factor on DN, Mendelian randomization-Bayesian model averaging (MR-BMA) method was utilized. Then, whether the reverse causality existed was verified by reverse MR analysis. Finally, transcriptome MR analysis was performed to investigate the possible mechanism of GM on DN.

RESULTS

At locus-wide significance levels, the results of IVW suggested that order Bacteroidales (odds ratio (OR) = 1.412, 95% confidence interval (CI): 1.025-1.945, P = 0.035), genus Akkermansia (OR = 1.449, 95% CI: 1.120-1.875, P = 0.005), genus Coprococcus 1 (OR = 1.328, 95% CI: 1.066-1.793, P = 0.015), genus Marvinbryantia (OR = 1.353, 95% CI: 1.037-1.777, P = 0.030) and genus Parasutterella (OR = 1.276, 95% CI: 1.022-1.593, P = 0.032) were risk factors for DN. Reversely, genus Eubacterium ventriosum (OR = 0.756, 95% CI: 0.594-0.963, P = 0.023), genus Ruminococcus gauvreauii (OR = 0.663, 95% CI: 0.506-0.870, P = 0.003) and genus Erysipelotrichaceae (UCG003) (OR = 0.801, 95% CI: 0.644-0.997, P = 0.047) were negatively associated with the risk of DN. Among these taxa, genus Ruminococcus gauvreauii played a crucial role in DN. No significant heterogeneity or pleiotropy in the MR result was found. Mapped genes (FDR < 0.05) related to GM had causal effects on DN, while FCGR2B and VNN2 might be potential therapeutic targets.

CONCLUSIONS

This work provided new evidence for the causal effect of GM on DN occurrence and potential biomarkers for DN. The significant bacterial taxa in our study provided new insights for the 'gut-kidney' axis, as well as unconventional prevention and treatment strategies for DN.

Uncovering specific taxonomic and functional alteration of gut microbiota in chronic kidney disease through 16S rRNA data

Introduction

Chronic kidney disease (CKD) is worldwide healthcare burden with growing incidence and death rate. Emerging evidence demonstrated the compositional and functional differences of gut microbiota in patients with CKD. As such, gut microbial features can be developed as diagnostic biomarkers and potential therapeutic target for CKD.

Methods

To eliminate the outcome bias arising from factors such as geographical distribution, sequencing platform, and data analysis techniques, we conducted a comprehensive analysis of the microbial differences between patients with CKD and healthy individuals based on multiple samples worldwide. A total of 980 samples from six references across three nations were incorporated from the PubMed, Web of Science, and GMrepo databases. The obtained 16S rRNA microbiome data were subjected to DADA2 processing, QIIME2 and PICRUSt2 analyses.

Results

The gut microbiota of patients with CKD differs significantly from that of healthy controls (HC), with a substantial decrease in the microbial diversity among the CKD group. Moreover, a significantly reduced abundance of bacteria Faecalibacterium prausnitzii (F. prausnitzii) was detected in the CKD group through linear discriminant analysis effect size (LEfSe) analysis, which may be associated with the alleviating effects against CKD. Notably, we identified CKD-depleted F. prausnitzii demonstrated a significant negative correlation with three pathways based on predictive functional analysis, suggesting its potential role in regulating systemic acidbase disturbance and pro-oxidant metabolism.

Discussion

Our findings demonstrated notable alterations of gut microbiota in CKD patients. Specific gut-beneficial microbiota, especially F. prausnitzii, may be developed as a preventive and therapeutic tool for CKD clinical management.

Advances in fecal microbiota transplantation for the treatment of diabetes mellitus

Diabetes mellitus (DM) refers to a group of chronic diseases with global prevalence, characterized by persistent hyperglycemia resulting from various etiologies. DM can harm various organ systems and lead to acute or chronic complications, which severely endanger human well-being. Traditional treatment mainly involves controlling blood sugar levels through replacement therapy with drugs and insulin; however, some patients still find a satisfactory curative effect difficult to achieve. Extensive research has demonstrated a close correlation between enteric dysbacteriosis and the pathogenesis of various types of DM, paving the way for novel therapeutic approaches targeting the gut microbiota to manage DM. Fecal microbiota transplantation (FMT), a method for re-establishing the intestinal microbiome balance, offers new possibilities for treating diabetes. This article provides a comprehensive review of the correlation between DM and the gut microbiota, as well as the current advancements in FMT treatment for DM, using FMT as an illustrative example. This study aims to offer novel perspectives and establish a theoretical foundation for the clinical diagnosis and management of DM.

Efficacy of fecal microbiota transplantation in type 2 diabetes mellitus: a systematic review and meta-analysis

OBJECTIVE

Type 2 diabetes mellitus (T2DM) is one of the common metabolic diseases worldwide, and studies have found significant differences in the composition and ratio of intestinal flora between patients with T2DM and normal glucose tolerance, and fecal microbiota transplantation (FMT) may modulate the composition of the intestinal microbiota thereby alleviating the hyperglycemic state. We conducted a meta-analysis and systematic review of existing randomized controlled trials (RCTs) to assess the efficacy of FMT in T2DM.

METHODS

We conducted a computer search of PubMed, Embase, The Cochrane Library, and Web of Science to screen randomized controlled trials studies on FMT treatment for T2DM and extracted data from studies that met inclusion criteria. RevMan 5.4 software and Stata 11 software was used for meta-analysis. The indexes of Hemoglobin A1c (HbA1c), fasting plasma glucose (FPG), postprandial blood glucose (PBG), homeostasis model assessment of insulin resistance (HOMA-IR), triglycerides (TG), cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), body mass index (BMI), Aspartate Aminotransferase (AST), Alanine Transaminase (ALT), Systolic blood pressure (SBP) and Diastolic blood pressure (DBP) were mainly evaluated after FMT treatment of T2DM patients, and the changes of intestinal flora were evaluated.

RESULTS

Four RCTs met the inclusion criteria and were included in the meta-analysis. Results of the meta-analysis showed that compared with the non-FMT group, FMT combined treatment could significantly reduce the PBG level in patients with type 2 diabetes (MD = -0.51, 95% CI: -1.42-0.40, P = 0.27). Compared with single FMT treatment, FMT combined treatment could reduce TG levels in patients with type 2 diabetes (MD = -0.60, 95% CI: -1.12~-0.07, P = 0.03). The levels of TG (MD = -0.26, 95% CI: -0.51~-0.02, P = 0.03), HOMA-IR (MD = -2.73, 95% CI: -4.71~0.75, P = 0.007) and HDL (MD = -0.06,95% CI: -0.10~-0.02, P = 0.003) were significantly decreased after treatment in the single FMT group. The level of TC (MD = -0.65, 95% CI: -1.00~-0.31, P = 0.0002) was significantly decreased after FMT combined treatment. Compared with before treatment, ALT (MD = -2.52, 95% CI: -3.86~-1.17, P = 0.0002) and DBP (MD = -2, 95% CI: -3.32~0.68, P = 0.003) levels decreased after treatment in the single FMT group and the FMT combined group. FPG (MD = -0.94, 95% CI: -1.86~-0.02, P = 0.04), TG (MD = -0.73, 95% CI: -1.42~-0.04, P = 0.04) and TC (MD = -0.94, 95% CI: -1.45~-0.43, P = 0.0003) were significantly decreased after combined drug and diet therapy. Secondly, FMT can promote the colonization and growth of donor-related flora in patients with type 2 diabetes.

CONCLUSION

In patients with type 2 diabetes mellitus, FMT treatment can reduce the levels of PBG, TG, HOMA-IR, TC, ALT, and DBP, especially in the combined treatment regimen. In addition, FMT can reshape the intestinal flora and establish the balance of dominant flora.

Gut microbiota in relationship to diabetes mellitus and its late complications with a focus on diabetic foot syndrome: A review

Diabetes mellitus is a chronic disease affecting glucose metabolism. The pathophysiological reactions underpinning the disease can lead to the development of late diabetes complications. The gut microbiota plays important roles in weight regulation and the maintenance of a healthy digestive system. Obesity, diabetes mellitus, diabetic retinopathy, diabetic nephropathy and diabetic neuropathy are all associated with a microbial imbalance in the gut. Modern technical equipment and advanced diagnostic procedures, including xmolecular methods, are commonly used to detect both quantitative and qualitative changes in the gut microbiota. This review summarises collective knowledge on the role of the gut microbiota in both types of diabetes mellitus and their late complications, with a particular focus on diabetic foot syndrome.

Association between gut microbiota and diabetic nephropathy: a mendelian randomization study

Background

The correlation between diabetic nephropathy (DN) and gut microbiota (GM) has been suggested in numerous animal experiments and cross-sectional studies. However, a causal association between GM and DN has not been ascertained.

Methods

This research adopted MR analysis to evaluate the causal link between GM and DN derived from data acquired through publicly available genome-wide association studies (GWAS). The study utilized the inverse variance weighted (IVW) approach to assess causal association between GM and DN. Four additional methods including MR-Egger, weighted median, weighted mode, and simple mode were employed to ensure comprehensive analysis and robust results. The Cochran's Q test and the MR-Egger method were conducted to identify heterogeneity and horizontal pleiotropy, respectively. The leave-one-out approach was utilized to evaluate the stability of MR results. Finally, a reverse MR was performed to identify the reverse causal association between GM and DN.

Results

According to IVW analysis, Class Verrucomicrobiae (p = 0.003), Order Verrucomicrobiales (p = 0.003), Family Verrucomicrobiaceae (p = 0.003), Genus Akkermansia (p = 0.003), Genus Catenibacterium (p = 0.031), Genus Coprococcus 1 (p = 0.022), Genus Eubacterium hallii group (p = 0.018), and Genus Marvinbryantia (p = 0.023) were associated with a higher risk of DN. On the contrary, Class Actinobacteria (p = 0.037), Group Eubacterium ventriosum group (p = 0.030), Group Ruminococcus gauvreauii group (p = 0.048), Order Lactobacillales (p = 0.045), Phylum Proteobacteria (p = 0.017) were associated with a lower risk of DN. The sensitivity analysis did not identify any substantial pleiotropy or heterogeneity in the outcomes. We found causal effects of DN on 11 GM species in the reverse MR analysis. Notably, Phylum Proteobacteria and DN are mutually causalities.

Conclusion

This study identified the causal association between GM and DN with MR analysis, which may enhance the understanding of the intestinal-renal axis and provide novel potential targets for early non-invasive diagnosis and treatment of DN.

Integrated 16S rRNA sequencing and metabolomic analysis reveals the potential protective mechanism of Germacrone on diabetic nephropathy in mice

Diabetic nephropathy (DN) is a severe complication of diabetes and the leading cause of end-stage renal disease and death. Germacrone (Ger) possesses anti-inflammatory, antioxidant and anti-DN properties. However, it is unclear whether the improvement in kidney damage caused by Ger in DN mice is related to abnormal compositions and metabolites of the gut microbiota. This study generates a mouse model of DN to explore the potent therapeutic ability and mechanism of Ger in renal function by 16S rRNA sequencing and untargeted fecal metabolomics. Although there is no significant change in microbiota diversity, the structure of the gut microbiota in the DN group is quite different. Serratia_marcescens and Lactobacillus_iners are elevated in the model group but significantly decreased after Ger intervention ( P<0.05). Under the treatment of Ger, no significant differences in the diversity and richness of the gut microbiota are observed. An imbalance in the intestinal flora leads to the dysregulation of metabolites, and non-targeted metabolomics data indicate high expression of stearic acid in the DN group, and oleic acid could serve as a potential marker of the therapeutic role of Ger in the DN model. Overall, Ger improves kidney injury in diabetic mice, in part potentially by reducing the abundance of Serratia_marcescens and Lactobacillus_iners, as well as regulating the associated increase in metabolites such as oleic acid, lithocholic acid and the decrease in stearic acid. Our research expands the understanding of the relationship between the gut microbiota and metabolites in Ger-treated DN. This contributes to the usage of natural products as a therapeutic approach for the treatment of DN via microbiota regulation.

Assessing the causal relationship between gut microbiota and diabetic nephropathy: insights from two-sample Mendelian randomization

Background

The causal association between gut microbiota (GM) and the development of diabetic nephropathy (DN) remains uncertain. We sought to explore this potential association using two-sample Mendelian randomization (MR) analysis.

Methods

Genome-wide association study (GWAS) data for GM were obtained from the MiBioGen consortium. GWAS data for DN and related phenotypes were collected from the FinngenR9 and CKDGen databases. The inverse variance weighted (IVW) model was used as the primary analysis model, supplemented by various sensitivity analyses. Heterogeneity was assessed using Cochran's Q test, while horizontal pleiotropy was evaluated through MR-Egger regression and the MR-PRESSO global test. Reverse MR analysis was conducted to identify any reverse causal effects.

Results

Our analysis identified twenty-five bacterial taxa that have a causal association with DN and its related phenotypes (p < 0.05). Among them, only the g_Eubacterium_coprostanoligenes_group showed a significant causal association with type 1 DN (p < Bonferroni-adjusted p-value). Our findings remained consistent regardless of the analytical approach used, with all methods indicating the same direction of effect. No evidence of heterogeneity or horizontal pleiotropy was observed. Reverse MR analysis did not reveal any causal associations.

Conclusions

This study established a causal association between specific GM and DN. Our findings contribute to current understanding of the role of GM in the development of DN, offering potential insights for the prevention and treatment strategies for this condition.

Comparing the effects of empagliflozin and liraglutide on lipid metabolism and intestinal microflora in diabetic mice

Background and Objectives

Recent studies have shown that the imbalance of intestinal flora is related to the occurrence and progression of diabetic nephropathy (DN) and can affect lipid metabolism. Sodium-dependent glucose transporters 2 (SGLT2) inhibitor and glucagon-like peptide-1 (GLP-1) receptor agonist are commonly used hypoglycemic drugs and have excellent renal safety. The purpose of this study was to compare the protective effects of empagliflozin and liraglutide on kidneys, lipid metabolism, and intestinal microbiota in diabetic mice.

Methods

We established a mouse model of type two diabetes by feeding rats a high-fat diet (HFD) followed by an intraperitoneal injection of STZ. The mice were randomly divided into groups: normal control (NC), diabetic model (DM), liraglutide treatment (LirT), empagliflozin treatment (EmpT), and liraglutide combined with empagliflozin treatment (Emp&LirT) groups. Blood glucose, lipids, creatinine, and uric acid, as well as urinary nitrogen and albumin levels were measured. The renal tissues were subjected to HE, PAS and Masson's staining. These parameters were used to evaluate renal function and histopathological changes in mice. Mice feces were also collected for 16sRNA sequencing to analyze the composition of the intestinal flora.

Results

All the indexes related to renal function were significantly improved after treatment with drugs. With respect to lipid metabolism, both drugs significantly decreased the serum triglyceride levels in diabetic mice, but the effect of liraglutide on reducing serum cholesterol was better than that of empagliflozin. However, empagliflozin had a better effect on the reduction of low-density lipoproteins (LDL). The two drugs had different effects on intestinal flora. At the phylum level, empagliflozin significantly reduced the ratio of Firmicutes to Bacteroidota, but no effect was seen with liraglutide. At the genus level, both of them decreased the number of Helicobacter and increased the number of Lactobacillus. Empagliflozin also significantly increased the abundance of Muribaculaceae, Muribaculum, Olsenella, and Odoribacter, while liraglutide significantly increased that of Ruminococcus.

Conclusion

Liraglutide and empagliflozin were both able to improve diabetes-related renal injury. However, the ability of empagliflozin to reduce LDL was better compared to liraglutide. In addition, their effects on the intestine bacterial flora were significantly different.

Causal relationship between gut microbiota and diabetic nephropathy: a two-sample Mendelian randomization study

Objective

Emerging evidence has provided compelling evidence linking gut microbiota (GM) and diabetic nephropathy (DN) via the "gut-kidney" axis. But the causal relationship between them hasn't been clarified yet. We perform a Two-Sample Mendelian randomization (MR) analysis to reveal the causal connection with GM and the development of DN, type 1 diabetes nephropathy (T1DN), type 2 diabetes nephropathy (T2DN), type 1 diabetes mellitus (T1DM), and type 2 diabetes mellitus (T2DM).

Methods

We used summary data from MiBioGen on 211 GM taxa in 18340 participants. Generalized MR analysis methods were conducted to estimate their causality on risk of DN, T1DN, T2DN, T1DM and T2DM from FinnGen. To ensure the reliability of the findings, a comprehensive set of sensitivity analyses were conducted to confirm the resilience and consistency of the results.

Results

It was showed that Class Verrucomicrobiae [odds ratio (OR) =1.5651, 95%CI:1.1810-2.0742,PFDR=0.0018], Order Verrucomicrobiales (OR=1.5651, 95%CI: 1.1810-2.0742, PFDR=0.0018) and Family Verrucomicrobiaceae (OR=1.3956, 95%CI:1.0336-1.8844, PFDR=0.0296) had significant risk of DN. Our analysis found significant associations between GM and T2DN, including Class Verrucomimicrobiae (OR=1.8227, 95% CI: 1.2414-2.6763, PFDR=0.0139), Order Verrucomimicrobiae (OR=1.5651, 95% CI: 1.8227-2.6764, PFDR=0.0024), Rhodospirillales (OR=1.8226, 95% CI: 1.2412-2.6763, PFDR=0.0026), and Family Verrucomicroniaceae (OR=1.8226, 95% CI: 1.2412-2.6763, PFDR=0.0083). The Eubacteriumprotogenes (OR=0.4076, 95% CI: 0.2415-0.6882, PFDR=0.0021) exhibited a protection against T1DN. Sensitivity analyses confirmed that there was no significant heterogeneity and pleiotropy.

Conclusions

At the gene prediction level, we identified the specific GM that is causally linked to DN in both T1DM and T2DM patients. Moreover, we identified distinct microbial changes in T1DN that differed from those seen in T2DN, offering valuable insights into GM signatures associated with subtype of nephropathy.

Interleukin-1 receptor-associated kinase 2 promotes inflammatory reactions by activating the nuclear factor kappa-B signaling pathway in diabetic nephropathy

Diabetic nephropathy (DN) is a major complication of diabetes. Interleukin-1 receptor-associated kinase 2 (IRAK2) has been implicated in various diseases. This study aimed to investigate the role of IRAK2 in DN progression and its association with inflammation and the nuclear factor-kappa B (NF-κB) signaling pathway. DN model mice were generated by intraperitoneal injection of streptozotocin. IRAK2 expression was upregulated in the DN model mice. IRAK2 knockdown increased weight and reduced blood glucose levels in DN model mice. In addition, IRAK2 downregulation improved glomerular morphology in DN mice. IRAK2 knockdown reduced the levels of kidney damage biomarkers (24-h urinary protein, urine albumin-creatinine ratio, and plasma creatinine) and inflammatory cytokines (IL-6, tumor necrosis factor [TNF]-α, TNF-1R, and TNF-2R). Moreover, IRAK2 activated the NF-κB signaling pathway in DN model mice. Overexpression of NF-κB exacerbated DN progression, and IRAK2 knockdown reversed these effects. IRAK2 promoted DN progression and inflammation by activating the NF-κB signaling pathway. These findings suggest that IRAK2 is a potential therapeutic target for DN treatment.