Targeting AGE-RAGE signaling pathway by Saxagliptin prevents myocardial injury in isoproterenol challenged diabetic rats

Neuroprotective effects of saxagliptin against radiation-induced cognitive impairment: Insights on Akt/CREB/SIRT1/BDNF signaling pathway

Radiation-induced cognitive impairment has recently fueled scientific interest with an increasing prevalence of cancer patients requiring whole brain irradiation (WBI) in their treatment algorithm. Saxagliptin (SAXA), a dipeptidyl peptidase-IV (DPP-IV) inhibitor, has exhibited competent neuroprotective effects against varied neurodegenerative disorders. Hence, this study aimed at examining the efficacy of SAXA in alleviating WBI-induced cognitive deficits. Male Sprague Dawley rats were distributed into control group, WBI group exposed to 20 Gy ϒ-radiation, SAXA group treated for three weeks with SAXA (10 mg/kg. orally, once daily), and WBI/SAXA group exposed to 20 Gy ϒ-radiation then treated with SAXA (10 mg/kg. orally, once daily). SAXA effectively reversed memory deterioration and motor dysfunction induced by 20 Gy WBI during behavioural tests and preserved normal histological architecture of the hippocampal tissues of irradiated rats. Mechanistically, SAXA inhibited WBI-induced hippocampal oxidative stress via decreasing lipid peroxidation while restoring catalase antioxidant activity. Moreover, SAXA abrogated radiation-induced hippocampal neuronal apoptosis through downregulating proapoptotic Bcl-2 Associated X-protein (Bax) and upregulating antiapoptotic B-cell lymphoma 2 (Bcl-2) expressions and eventually diminishing expression of cleaved caspase 3. Furthermore, SAXA boosted hippocampal neurogenesis by upregulating brain-derived neurotrophic factor (BDNF) expression. These valuable neuroprotective capabilities of SAXA were linked to activating protein kinase B (Akt), and cAMP-response element-binding protein (CREB) along with elevating the expression of sirtuin 1 (SIRT-1). SAXA successfully mitigated cognitive dysfunction triggered by WBI, attenuated oxidative injury, and neuronal apoptosis, and enhanced neurogenesis through switching on Akt/CREB/BDNF/SIRT-1 signaling axes. Such fruitful neurorestorative effects of SAXA provide an innovative therapeutic strategy for improving the cognitive capacity of cancer patients exposed to radiotherapy.

Discovery of astragaloside IV against high glucose-induced apoptosis in retinal ganglion cells: Bioinformatics and in vitro studies

OBJECTIVE

To examine the therapeutic mechanism of astragaloside IV (AS-IV) in the management of retinal ganglion cell (RGC) injury induced by high glucose (HG), a comprehensive approach involving the integration of network pharmacology and conducting in vitro and in vivo experiments was utilized.

METHODS

A rat model of diabetic retinopathy (DR) injury was created by administering streptozotocin through intraperitoneal injection. Additionally, a model of RGC injury induced by HG was established using a glucose concentration of 0.3 mmol/mL. Optical coherence tomography (OCT) images were captured 8 weeks after the injection of AS-IV. AS-IV and FBS were added to the culture medium and incubated for 48 h. The viability of cells was assessed using a CCK-8 assay, while the content of reactive oxygen species (ROS) was measured using DCFH-DA. Apoptosis was evaluated using Annexin V-PI. To identify the targets of AS-IV, hyperglycemia, and RGC, publicly available databases were utilized. The Metascape platform was employed for conducting GO and KEGG enrichment analyses. The STRING database in conjunction with Cytoscape 3.7.2 was used to determine common targets of protein-protein interactions (PPIs) and to identify the top 10 core target proteins in the RGC based on the MCC algorithm. qRT-PCR was used to measure the mRNA expression levels of the top10 core target proteins in RGCs.

RESULTS

OCT detection indicated that the thickness of the outer nucleus, and inner and outer accessory layers of the retina increased in the AS-IV treated retina compared to that in the DM group but decreased compared to that in the CON group. Coculturing RGC cells with AS-IV after HG induction resulted in a significant increase in cell viability and a decrease in ROS and apoptosis, suggesting that AS-IV can reduce damage to RGC cells caused by high glucose levels by inhibiting oxidative stress. There were 14 potential targets of AS-IV in the treatment of RGC damage induced by high glucose levels. The top 10 core target proteins identified by the MCC algorithm were HIF1α, AKT1, CTNNB1, SMAD2, IL6, SMAD3, IL1β, PPARG, TGFβ1, and NOTCH3. qRT-PCR analysis showed that AS-IV could upregulate the mRNA expression levels of SMAD3, TGF-β1, and NOTCH3, and downregulate the mRNA expression levels of HIF1α, AKT1, CTNNB1, SMAD2, SMAD3, and IL-1β in high glucose-induced RGC cells.

CONCLUSION

The findings of this study validate the efficacy of astragaloside IV in the treatment of DR and shed light on the molecular network involved. Specifically, HIF1α, AKT1, CTNNB1, SMAD2, SMAD3, and IL-1β were identified as the crucial candidate molecules responsible for the protective effects of astragaloside IV on RGCs.

Comparative efficacy and pharmacological mechanism of Chinese patent medicines against anthracycline-induced cardiotoxicity: An integrated study of network meta-analysis and network pharmacology approach

Background

This study aimed to evaluate the efficacy of Chinese patent medicines (CPMs) combined with dexrazoxane (DEX) against anthracycline-induced cardiotoxicity (AIC) and further explore their pharmacological mechanism by integrating the network meta-analysis (NMA) and network pharmacology approach.

Methods

We searched for clinical trials on the efficacy of DEX + CPMs for AIC until March 10, 2023 (Database: PubMed, Embase, Cochrane Library, Chinese National Knowledge Infrastructure, China Science and Technology Journal and China Online Journals). The evaluating outcomes were cardiac troponin I (cTnI) level, creatine kinase MB (CK-MB) level, left ventricular ejection fraction (LVEF) value, and electrocardiogram (ECG) abnormal rate. Subsequently, the results of NMA were further analyzed in combination with network pharmacology.

Results

We included 14 randomized controlled trials (RCTs) and 1 retrospective cohort study (n = 1,214), containing six CPMs: Wenxinkeli (WXKL), Cinobufotalin injection (CI), Shenqifuzheng injection (SQFZ), Shenmai injection (SM), Astragalus injection (AI) and AI + CI. The NMA was implemented in Stata (16.0) using the mvmeta package. Compared with using DEX only, DEX + SM displayed the best effective for lowering cTnI level (MD = -0.44, 95%CI [-0.56, -0.33], SUCRA 93.4%) and improving LVEF value (MD = 14.64, 95%CI [9.36, 19.91], SUCRA 98.4%). DEX + SQFZ showed the most effectiveness for lowering CK-MB level (MD = -11.57, 95%CI [-15.79, -7.35], SUCRA 97.3%). And DEX + AI + CI has the highest effectiveness for alleviating ECG abnormalities (MD = -2.51, 95%CI [-4.06, -0.96], SUCRA 96.8%). So that we recommended SM + DEX, SQFZ + DEX, and DEX + AI + CI as the top three effective interventions against AIC. Then, we explored their pharmacological mechanism respectively. The CPMs' active components and AIC-related targets were screened to construct the component-target network. The potential pathways related to CPMs against AIC were determined by KEGG. For SM, we identified 118 co-targeted genes of active components and AIC, which were significantly enriched in pathways of cancer pathways, EGFR tyrosine kinase inhibitor resistance and AGE-RAGE signaling pathway in diabetic complications. For SQFZ, 41 co-targeted genes involving pathways of microRNAs in cancer, Rap1 signaling pathway, MAPK signaling pathway, and lipid and atherosclerosis. As for AI + CI, 224 co-targeted genes were obtained, and KEGG analysis showed that the calcium signaling pathway plays an important role except for the consistent pathways of SM and SQFZ in anti-AIC.

Conclusions

DEX + CPMs might be positive efficacious interventions from which patients with AIC will derive benefits. DEX + SM, DEX + SQFZ, and DEX + AI + CI might be the preferred intervention for improving LVEF value, CK-MB level, and ECG abnormalities, respectively. And these CPMs play different advantages in alleviating AIC by targeting multiple biological processes.

Network Pharmacology and Molecular Docking-Based Prediction of the Molecular Targets and Signaling Pathways of Ginseng in the Treatment of Parkinson's Disease

Objective: The present study was aimed at exploring the molecular mechanism underlying the action of ginseng in the treatment of Parkinson's disease (PD) using network pharmacology. Methods: The main effective ginseng ingredients were obtained from the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) database and screened for oral bioavailability (OB), as well as drug-like properties (DL). A platform of PD targets was established using GeneCards and Online Mendelian Inheritance in Man (OMIM) databases, and then an “effective ingredient-target-disease” interaction network was constructed using Cytoscape 3.7.1 software. A STRING database was used to construct a protein–protein interaction (PPI) network, and the related protein interactions were analyzed. Finally, we performed functional analyses of core targets using the Gene Ontology (GO) and Kyoto Gene and Gene Encyclopedia (KEGG) pathway enrichment, and then conducted molecular docking of the effective ingredients with disease targets. Results: Ninety-seven effective ginseng ingredients and 168 potential targets of PD were identified in the present study. Network analysis showed that the targets were mainly involved in regulating cell metabolism, apoptosis, and other biological processes (BPs). Further, it was noted that the effects of the targets on treatment of PD involved regulation of several signaling pathways, such as mitogen-activated protein kinase (MAPK), advanced glycation end products (AGE), and receptors of advanced glycation end products (RAGE). The results of molecular docking showed that the active ginseng ingredients bind well with the targets of MAPK3 and MAPK14. Conclusion: The main active compounds of ginseng in the treatment of PD may be ginsenosides, and the molecular mechanism may be related to key targets such as MAPK3, MAPK14, and EGFR. The MAPK and AGE-RAGE signaling pathways may also be involved.