Pinpointing precision medicine for diabetes mellitus DOI Open Access
Anna Krook, Hindrik Mulder

Diabetologia, Journal Year: 2022, Volume and Issue: 65(11), P. 1755 - 1757

Published: Aug. 23, 2022

Ginsenoside Rg2 Alleviates HFD/STZ-Induced Diabetic Nephropathy by Inhibiting Pyroptosis via NF-κB/NLRP3 Signaling Pathways DOI

Ke Li,

Yajun Wang, Kun Wei

et al.

The American Journal of Chinese Medicine, Journal Year: 2025, Volume and Issue: 53(03), P. 909 - 930

Published: Jan. 1, 2025

Diabetes mellitus (DM) is considered to be the most widespread epidemic worldwide, and diabetic nephropathy (DN) one of serious complications. Its complex pathogenesis makes treatment DN an ongoing medical challenge. Ginseng (Panax ginseng. C. A Meyer) a valuable medicinal herb with long culinary history. Ginsenoside Rg2 (Rg2), important active component in ginseng, has effective inhibitory effects on lipogenesis hepatic glucose production. However, potential effect mechanism remain unclear. In this study, we investigated high fat diet/streptozotocin (HFD/STZ)-induced type 2 mice (HG)-induced human kidney (HK-2) cells. The results demonstrated that significantly improved levels FBG, dyslipidemia impaired function mice. Additionally, decreased phosphorylation IKKβ, IκBα, NF-κB p65, inhibited activation NLRP3 inflammasomes (NLRP3, ASC, Caspase 1), restrained release inflammatory factors (IL-18 IL-1[Formula: see text]. HG-induced HK-2 cells, showed similar pyroptosis via NF-κB/NLRP3 signaling pathways. Moreover, inhibiting pathways may have relationship reducing overproduction reactive oxygen species (ROS), which further supported by ROS inhibitor N-acetylcysteine (NAC). conclusion, our findings clearly indicated could prevent progress pyroptosis-related vivo vitro, suggesting novel promising therapeutic agent DN.

Language: Английский

Citations

0

Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation DOI Creative Commons
Federico Carbone, Jean‐Pierre Després, John P. A. Ioannidis

et al.

European Journal of Clinical Investigation, Journal Year: 2025, Volume and Issue: unknown

Published: May 15, 2025

Abstract Background Most forms of obesity are associated with chronic diseases that remain a global public health challenge. Aims Despite significant advancements in understanding its pathophysiology, effective management is hindered by the persistence knowledge gaps epidemiology, phenotypic heterogeneity and policy implementation. Materials Methods This consensus statement European Society for Clinical Investigation identifies eight critical areas requiring urgent attention. Key include insufficient long‐term data on trends, inadequacy body mass index (BMI) as sole diagnostic measure, recognition diversity obesity‐related cardiometabolic risks. Moreover, socio‐economic drivers transition across phenotypes poorly understood. Results The syndemic nature obesity, exacerbated globalization environmental changes, necessitates holistic approach integrating frameworks community‐level interventions. advocates leveraging emerging technologies, such artificial intelligence, to refine predictive models address variability. It underscores importance collaborative efforts among scientists, policymakers, stakeholders create tailored interventions enduring policies. Discussion highlights need harmonizing anthropometric biochemical markers, fostering inclusive narratives combating stigma obesity. By addressing these gaps, this initiative aims advance research, improve prevention strategies optimize care delivery people living Conclusion effort marks decisive step towards mitigating epidemic profound impact systems. Ultimately, should be considered being largely consequence model not compatible optimal human health.

Language: Английский

Citations

0

MAPK8 and HDAC6: potential biomarkers related to autophagy in diabetic retinopathy based on bioinformatics analysis DOI Creative Commons
Ruopeng Sun,

Ling Zuo

Frontiers in Endocrinology, Journal Year: 2025, Volume and Issue: 16

Published: May 21, 2025

Introduction One of the most common vascular diseases retina is diabetic retinopathy (DR), a microvascular condition caused by diabetes. The autophagy system transports and degrades cytoplasmic substances to lysosomes as part intracellular degradation process. Autophagy appears be an important regulator in development progression DR, but its mechanism potential role are unclear. purpose this study identify autophagy-related genes DR find biomarkers associated with through bioinformatics analysis. Method We retrieved dataset GSE102485 from Gene Expression Omnibus (GEO) database compiled list 344 genes. Using R software, analysis was used differentially expressed (ARGs). Then, we identified hub (ARHGs) series analyses including Ontology (GO) enrichment analysis, Kyoto Encyclopedia Genes Genomes (KEGG) pathway correlation protein-protein interaction (PPI) network. In addition, miRNA-gene-TF network generated using NetworkAnalyst platform. Potential therapeutic drugs were predicted utilizing Drug-Gene Interaction Database (DGIdb). Ultimately, simulated high glucose incubation retinal pigment epithelium cell line (ARPE-19), employing quantitative real-time polymerase chain reaction (qRT-PCR) verify ARHG expression. effectiveness ARHGs diagnosing assessed measuring area under receiver operating characteristic (ROC) curve. Results Differential expression 26 ARGs, which 6 upregulated 20 downregulated. Through GO KEGG it found that ARGs showed significant pathways. PPI 7 identified. MAPK8, HDAC6, DNAJB1 TARDBP, model confirmed qRT-PCR. ROC curve results TSC2 had predictive accuracy could for DR. Conclusion may suggest MAPK8 HDAC6 involved

Language: Английский

Citations

0

Discovery of first-in-class highly selective TRPV1 antagonists with dual analgesic and hypoglycemic effects DOI
Chunxia Liu, Wenxin Wang, Shiyu Zhao

et al.

Bioorganic & Medicinal Chemistry, Journal Year: 2024, Volume and Issue: 107, P. 117750 - 117750

Published: May 17, 2024

Language: Английский

Citations

3

Causal Effects of Oxidative Stress on Diabetes Mellitus and Microvascular Complications: Insights Integrating Genome-Wide Mendelian Randomization, DNA Methylation, and Proteome DOI Creative Commons
Kang Liu,

Zitong Chen,

Lishan Liu

et al.

Antioxidants, Journal Year: 2024, Volume and Issue: 13(8), P. 903 - 903

Published: July 26, 2024

Oxidative stress (OS) is involved in the development of diabetes, but genetic mechanisms are not completely understood. We integrated multi-omics data order to explore relations between OS-related genes, diabetes mellitus, and microvascular complications using Mendelian randomization colocalization analysis.

Language: Английский

Citations

3

Danggui Liuhuang Decoction Ameliorates Endothelial Dysfunction by Inhibiting the JAK2/STAT3 Mediated Inflammation DOI
Yuanying Xu, Wenjun Sha, Jun Lü

et al.

Journal of Ethnopharmacology, Journal Year: 2024, Volume and Issue: unknown, P. 119170 - 119170

Published: Nov. 1, 2024

Language: Английский

Citations

3

How health seeking behavior develops in patients with type 2 diabetes: a qualitative study based on health belief model in China DOI Creative Commons

Qiu-hui Du,

Zi-chen Zhang,

Y Yang

et al.

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: July 9, 2024

Background Type 2 diabetes(T2DM) is a global health problem which accompanied with multi-systemic complications, and associated long-term burden economic burden. Effective seeking behavior (HSB) refers to reasonably utilize resources, effectively prevent treat diseases, maintain health. vital mitigate the risk of T2DM complications. However, for patients remains sub-optimal worldwide. Objective The study aimed explore internal logic how develops influencing factors behavior. With view provide reference basis improving situation patients. Methods This was conducted at an integrated tertiary hospital in China. People who were diagnosed T2DM, capable expressing clearly had no mental illness, approached based on purposive sampling. experience collected via in-depth interviews. A theory-driven thematic analysis Health Belief Model (HBM) applied data analysis. Inductive reasoning used identify emerging themes not included HBM. Results 26 current study. Seven identified, including: (1) diagnosis severity; (2) treatment management; (3) Perceived susceptibility diabetes progression; (4) severity (5) benefits behavior; (6) barriers (7) Perception behavioral cues. Generally, lacked reliable sources information, considered be slow-progressing without posing immediate threat life. Consequently, they did fully grasp risks or protective effects Conclusion highlighted challenges T2DM. It suggested that future interventions strategies should involve multi-faceted approaches, targeting healthcare providers (HCPs), their support networks. comprehensive strategy can help better understand condition importance effective Ultimately, enhancing capacity adopting appropriate health-seeking practices.

Language: Английский

Citations

2

Non-invasive detection of early microvascular changes in juveniles with type 1 diabetes DOI Creative Commons
Klaudia Bogusz‐Górna, Adriana Polańska, Aleksandra Dańczak‐Pazdrowska

et al.

Cardiovascular Diabetology, Journal Year: 2023, Volume and Issue: 22(1)

Published: Oct. 21, 2023

The study aimed to assess the usefulness of capillaroscopy and photoplethysmography in search for early vascular anomalies children with type 1 diabetes.One hundred sixty adolescents aged 6-18, 125 patients diabetes, 35 healthy volunteers were enrolled study. We performed a detailed clinical evaluation, anthropometric measurements, nailfold capillaroscopy, photoplethysmography.Patients diabetes had more often abnormal morphology (68.60%, p = 0.019), enlarged capillaries (32.6%, 0.006), over five meandering (20.90%, 0.026) compared controls. Meandering correlated higher parameters nutritional status. In photoplethysmography, diagnosed neuropathy percentage flow disturbance curves (p < 0.001) reduced frequency normal 0.050).Capillaroscopic photoplethysmographic examinations are non-invasive, painless, fast, inexpensive. They devoid side effects, there no limitations their use repetition. microcirculation diabetic indicates vast application possibilities these methods practice.

Language: Английский

Citations

6

Effects of diabetes mellitus and glycemic traits on cardiovascular morpho-functional phenotypes DOI Creative Commons

Zhaoyue Li,

Jie Xiong, Yutong Guo

et al.

Cardiovascular Diabetology, Journal Year: 2023, Volume and Issue: 22(1)

Published: Dec. 8, 2023

Abstract Background The effects of diabetes on the cardiac and aortic structure function remain unclear. Detecting intervening these variations early is crucial for prevention management complications. Cardiovascular magnetic resonance imaging-derived traits are established endophenotypes serve as precise, early-detection, noninvasive clinical risk biomarkers. We conducted a Mendelian randomization (MR) study to examine association between two types diabetes, four glycemic traits, preclinical function. Methods Independent genetic variants significantly associated with type 1 2 fasting insulin (FIns), glucose (FGlu), h-glucose post-challenge (2hGlu), glycated hemoglobin (HbA1c) were selected instrumental variables. 96 cardiovascular imaging came from six independent genome-wide studies. These offer an indication chambers sections. primary analysis was performed using MR inverse-variance weighted method. Confirmation achieved through Steiger filtering testing determine causal direction. Sensitivity analyses median, MR-Egger, MR-PRESSO methods. Additionally, multivariable used adjust potential body mass index. Results Genetic susceptibility increased ascending distensibility. Conversely, showed correlation reduced diameter areas aorta, well decreased distensibility descending aorta. Genetically predicted higher levels FGlu HbA1c correlated decrease in Furthermore, 2hGlu predominantly both Higher FIns corresponded regional myocardial-wall thicknesses at end-diastole, global thickness peak circumferential strain left ventricle. Conclusions This provides evidence that have relationship structural functional remodeling, highlighting importance intensive glucose-lowering diseases.

Language: Английский

Citations

6

Unveiling diabetic nephropathy: a novel diagnostic model through single-cell sequencing and co-expression analysis DOI Creative Commons

Guoyi Wang,

Jinwen Zhao,

Min Zhou

et al.

Aging, Journal Year: 2024, Volume and Issue: unknown

Published: July 3, 2024

Background: Diabetic nephropathy (DN) is a severe complication of diabetes that affects the kidneys. Disulfidptosis, newly defined type programmed cell death, has emerged as potential area interest, yet its significance in DN remains unexplored. Methods: This study utilized single-cell sequencing data GSE131882 from GEO database combined with bulk transcriptome GSE30122, GSE30528 and GSE30529 to investigate disulfidptosis DN. Single-cell analysis was performed on samples patients healthy controls, focusing heterogeneity communication. Weighted gene co-expression network (WGCNA) set enrichment (GSEA) were employed identify disulfidptosis-related sets pathways. A diagnostic model constructed using machine learning techniques based identified genes, immunocorrelation conducted explore relationship between key genes immune cells. PCR validation blood controls. Results: The revealed significant communication differences Specific targets related identified, providing insights into pathogenesis demonstrated high accuracy distinguishing across multiple datasets. Immunocorrelation highlighted complex interactions cells genes. supported differential expression VEGFA, MAGI2, THSD7A ANKRD28 Conclusion: research advances our understanding by highlighting role identifying biomarkers for early detection personalized treatment.

Language: Английский

Citations

2