MicroRNA Regulatory Pattern in Diabetic Mouse Cortex at Different Stages Following Ischemic Stroke.

After ischemic stroke, microRNAs (miRNAs) participate in various processes, including immune responses, inflammation, and angiogenesis. Diabetes is a key factor increasing the risk of ischemic stroke; however, the regulatory pattern of miRNAs at different stages of diabetic stroke remains unclear. This study comprehensively analyzed the miRNA expression profiles in diabetic mice at 1, 3, and 7 days post-reperfusion following the middle cerebral artery occlusion (MCAO). We identified differentially expressed (DE) miRNAs in diabetic stroke and found significant dysregulation of some novel miRNAs (novel_mir310, novel_mir89, and novel_mir396) post-stroke. These DEmiRNAs were involved in apoptosis and the formation of tight junctions. Finally, we identified three groups of time-dependent DE miRNAs (miR-6240, miR-135b-3p, and miR-672-5p). These have the potential to serve as biomarkers of diabetic stroke. These findings provide a new perspective for future research, emphasizing the dynamic changes in miRNA expression after diabetic stroke and offering potential candidates as biomarkers for future clinical applications.

Cerebral ischemia-induced gene expression changes in diabetic mice from acute to subacute stage.

Diabetes is a risk factor for stroke; however, its impact on stroke progression at the genomic level is not well understood. To address this gap, we used transcriptome sequencing to explore the relationship between lncRNA and mRNA expression patterns and the reperfusion duration in the cortex of diabetically induced stroke mice. First, focal ischemia was induced in adult male ob/ob mice, which were then subjected to reperfusion periods of one, three, or seven days. Total RNA was extracted from the ischemic cortical tissue for RNA sequencing, and the resulting reads were aligned to the GRCm38 murine reference genome. A total of 672 mRNAs and 301 lncRNAs were identified as differentially expressed one day post-stroke, 1195 mRNAs and 66 lncRNAs at three days post-stroke, and 1069 mRNAs and 75 lncRNAs at seven days post-stroke. Stage-specific differentially expressed mRNAs were bioinformatically analyzed and found significantly enriched in processes such as apoptosis, angiogenesis, and lipid metabolism at one, three, and seven days post-stroke, respectively. Stage-specific DElncRNA-mRNA cis-regulatory relationships were constructed using these biological processes as examples, revealing the potential roles of four pairs of lncRNA-mRNAs (Gm39787-Lcn2, Gm46111-Drd2, D3300500i16Rik-Fosl1, and Gm41689-Egr1) in apoptosis. Additionally, Gm40237-Tie1 and Gm52352-Pdgfrb are associated with angiogenesis and lipid metabolism, respectively. In conclusion, our study demonstrated that lncRNA and mRNA expression in the cortex of transient focal ischemia-induced diabetic mice undergo extensive alterations, providing insights into complex molecular interactions underlying diabetic stroke.

Integration of single-nucleus RNA sequencing and network disturbance to elucidate crosstalk between multicomponent drugs and trigeminal ganglia cells in migraine.

ETHNOPHARMACOLOGICAL RELEVANCE: Migraine is caused by hyperactivity of the trigeminovascular system, where trigeminal ganglia (TG) plays an important role. TG is composed of multiple neuronal and non-neuronal cell types, which is related to "neuro-inflammation-vascular" disorder in migraine. Tou Tong Ning capsule (TTNC), a CFDA-approved traditional Chinese medicine for treating migraine, has the characteristics of "multicomponents, multitargets, multipathways". AIM OF THE STUDY: To clarify the mechanism of TTNC and elucidate crosstalk between multicomponent drugs and neuronal and non-neuronal functions and cells in migraine. MATERIALS AND METHODS: We integrated single-nucleus RNA sequencing and a quantitative evaluation algorithm of the disturbance of multitarget drugs on the disease network and explored the specific pathology of migraine and corresponding compounds. A cerebrovascular smooth muscle spasmolytic activity experiment was carried out to verify the results of the bioinformatics analysis. RESULTS: TTNC exhibited its regulation activities in neuronal and non-neuronal aspects based on drugs attack to four subnetworks and cell specific networks, which explored the MoA of TTNC in comprehensive and refined perspectives. Compared to neuronal regulation, TTNC showed more significant attack score on non-neuronal biological function (smooth muscle and vessel). And TTNC compound clusters C1, C6 and C7, targeting non-neuronal function and cells, had larger group area than C10, C4 and C6 for neuronal function and cell, which implied that TTNC may mainly regulate the non-neuronal function, e.g., vessel smooth muscle contraction. Contraction of cerebrovascular smooth muscle of mice ex vivo confirmed the vasodilation activity of TTNC and active compounds from C1, C6, C9 (Emodin, Luteolin and Levistilide A). Literature mining confirmed the vasospasmodolytic activity and neuroprotective effect of TTNC. CONCLUSIONS: The study found that TTNC may primarily alleviate non-neuronal functional disorders in migraine by relaxing cerebral vascular smooth muscle cell spasm to alleviate migraine. Integrating single-nucleus RNA sequencing data and network disturbance tools provides a new strategy for the pharmacological mechanism of multicomponent drugs through cell subtyping.

The role of novel programmed cell death in head and neck squamous cell carcinoma: from mechanisms to potential therapies.

Head and neck squamous cell carcinoma (HNSCC) is a common oral cancer with poor prognosis and for which no targeted therapeutic strategies are currently available. Accumulating evidence has demonstrated that programmed cell death (PCD) is essential in the development of HNSCC as a second messenger. PCD can be categorized into numerous different subroutines: in addition to the two well-known types of apoptosis and autophagy, novel forms of programmed cell death (e.g., necroptosis, pyroptosis, ferroptosis, and NETosis) also serve as key alternatives in tumorigenesis. Cancer cells are not able to avoid all types of cell death simultaneously, since different cell death subroutines follow different regulatory pathways. Herein, we summarize the roles of novel programmed cell death in tumorigenesis and present our interpretations of the molecular mechanisms with a view to the development of further potential therapies.

Dengzhan Shengmai capsule attenuates cardiac fibrosis in post-myocardial infarction rats by regulating LTBP2 and TGF-ß1/Smad3 pathway.

BACKGROUND: Cardiac fibrosis contributes to myocardial remodeling after myocardial infarction (MI), which may facilitate the progression to end-stage heart failure. Dengzhan Shengmai capsule (DZSMC), a traditional Chinese formula derived from Shen-mai powder, has shown remarkable therapeutic effects against cardiovascular diseases. However, the effect of DZSMC on cardiac fibrosis and its potential mechanism are ill-defined. PURPOSE: To evaluate the effects of DZSMC on cardiac fibrosis after myocardial infarction (MI) and investigate its underlying mechanism. METHOD: In vivo, MI rat models were established by permanently ligation of left anterior descending coronary arteries (LAD) and then were intragastrically treated with DZSMC or captopril for 5 weeks. Ex vivo, an everted intestinal sac model was used to study the intestinal absorption components of DZSMC, which were further identified through an ultra-performance liquid chromatography tandem mass spectrometry (UHPLC-MS) method. In vitro, a myocardium fibrotic model was constructed by stimulating primary cardiac fibroblasts (CFs) with 1 µM Ang II. Subsequently, the absorbent solution of DZSMC from the intestinal sac was performed on the cell models to further elucidate its anti-fibrotic effects and underling mechanism. RESULTS: In vivo results showed that DZSMC significantly improved cardiac function and inhibited pathological myocardial fibrosis in post-MI rats in a dose dependent manner. Histological analysis and western blot results demonstrated that DZSMC treatment significantly reduced the expression of extracellular matrix (ECM)-related proteins, including LTBP2, TGF-ßR1, Smad3 and pSmad3, in myocardial tissue of MI rats. Ex vivo results showed that 18 absorbed components were identified, mainly consisting of phenolic acids, flavonoids and lignans, which may be responsible for the anti-fibrotic effects. Further in vitro results validated that DZSMC attenuated myocardial fibrosis by suppressing the expression of LTBP2, TGF-ß1 and pSmad3. CONCLUSION: DZSMC ameliorates cardiac function and alleviates cardiac fibrosis, which may be mediated by inhibition of CFs activation and reduction of excessive ECM deposition via LTBP2 and TGF-ß1/Smad3 pathways.

Qinbaohong Zhike Oral Liquid Attenuates LPS-Induced Acute Lung Injury in Immature Rats by Inhibiting OLFM4.

Acute respiratory infections (ARIs) are a common public safety threat with high morbidity and mortality in pediatric patients worldwide. Qinbaohong Zhike oral liquid (QBH), a marketed traditional Chinese medicine product, has been widely used to cure respiratory diseases. QBH is reported to have antitussive, expectorant, and antiasthmatic properties. However, its treatment effect against ARIs is not elucidated. This study aimed to explore the therapeutic efficacy of QBH in the treatment of ARIs-induced pneumonia. Network pharmacology was used to predict the possible targets of QBH against ARIs. Next, the tracheal lipopolysaccharide (LPS-)-induced acute lung injury (ALI) immature rat model was constructed to evaluate the therapeutic effect of QBH. Tandem mass tag (TMT-)-based quantitative proteomics was then used to screen the in-depth disease targets of QBH. QBH exerted a protective effect against LPS-induced ALI by inhibiting pulmonary pathological damage. QBH also reduced the levels of interleukin (IL)-6, tumor necrosis factor (TNF)-α, interferon (IFN)-γ, and granulocyte macrophage colony-stimulating factor (GM-CSF) in the serum and IL-1ß, IL-6, IL-8, TNF-α, IFN-γ, and GM-CSF in the lung tissue. Based on proteomic data, olfactomedin 4 (OLFM4) related to immunity and inflammation was selected as a potential target. Western blot analysis further confirmed the moderating effect of QBH downregulation on OLFM4 in the lung tissue. Our findings demonstrated that QBH alleviated lung tissue damage and inflammatory reaction via inhibiting OLFM4 expression in LPS-challenged immature rats. Our research indicates that QBH may have therapeutic potential for treating ARIs-related ALI in pediatric patients, which also serves as a candidate target for drug therapy of ALI by intervening OLFM-related signaling pathways.

Exploration of the Specific Pathology of HXMM Tablet Against Retinal Injury Based on Drug Attack Model to Network Robustness.

Retinal degenerative diseases are related to retinal injury because of the activation of the complement cascade, oxidative stress-induced cell death mechanisms, dysfunctional mitochondria, chronic neuroinflammation, and production of the vascular endothelial growth factor. Anti-VEGF therapy demonstrates remarkable clinical effects and benefits in retinal degenerative disease patients. Hence, new drug development is necessary to treat patients with severe visual loss. He xue ming mu (HXMM) tablet is a CFDA-approved traditional Chinese medicine (TCM) for retinal degenerative diseases, which can alleviate the symptoms of age-related macular degeneration (AMD) and diabetic retinopathy (DR) alone or in combination with anti-VEGF agents. To elucidate the mechanisms of HXMM, a quantitative evaluation algorithm for the prediction of the effect of multi-target drugs on the disturbance of the disease network has been used for exploring the specific pathology of HXMM and TCM precision positioning. Compared with anti-VEGF agents, the drug disturbance of HXMM on the functional subnetwork shows that HXMM reduces the network robustness on the oxidative stress subnetwork and inflammatory subnetwork to exhibit the anti-oxidation and anti-inflammation activity. HXMM provides better protection to ARPE-19 cells against retinal injury after H2O2 treatment. HXMM can elevate GSH and reduce LDH levels to exhibit antioxidant activity and suppress the expression of IL-6 and TNF-α for anti-inflammatory activity, which is different from the anti-VEGF agent with strong anti-VEGF activity. The experimental result confirmed the accuracy of the computational prediction. The combination of bioinformatics prediction based on the drug attack on network robustness and experimental validation provides a new strategy for precision application of TCM.

[Analysis of medication regularity of classical prescription in treatment of COPD based on multi-target efficacy evaluation system of Chinese medicine].

Effective drugs for chronic obstructive pulmonary disease(COPD), a complex chronic lung disease, have long been difficultly determined, while traditional Chinese medicine(TCM) has played a critical effect in the treatment of such disease. A new approach for the prediction based on data analysis by integrating TCM basic theories and modern science is urgently needed apart from clinical experiments. In this study, an efficacy evaluation system of COPD was established based on the multi-target efficacy evaluation system of Chinese medicine to analyze the medication regularity and characteristics, such as efficacies, properties, meridian tropism,and core combinations of Chinese medicines. The characteristics of classical prescriptions in the intervention of COPD were explored from modern pharmacology. The results showed that the Chinese medicines in the classical prescriptions in the treatment of COPD were dominated by heat-clearing, phlegm-resolving, dampness-dispelling, exterior-releasing, deficiency-tonifying, and interior-warming drugs. Among them, dampness-dispelling, interior-warming, and heat-clearing drugs resulted in higher perturbation efficiency in the disease network than some western medicines on the market, suggesting that these drugs possessed better efficacies in the treatment of COPD. In the classic prescriptions, warm-heat drugs were equivalent to cold-cool drugs in number, while the proportion of warm-heat drugs gradually raised with the increase in the perturbation efficiency. Additionally, core combinations in the classical prescriptions,such as heat-clearing/heat-clearing, dampness-dispelling/dampness-dispelling, and phlegm-resolving/heat-clearing, could achieve better efficacy for COPD. The present study preliminarily screened out the efficacies of Chinese medicines in the treatment of COPD based on scientific data through the multi-target efficacy evaluation system to explore the effect of Chinese medicine on COPD from modern pharmacology, explain the mechanism of TCM treatment of lung diseases, and provide references for the development of drugs targeting COPD.

Investigation of pharmacological mechanism of natural product using pathway fingerprints similarity based on "drug-target-pathway" heterogenous network.

Natural products from traditional medicine inherit bioactivity from their source herbs. However, the pharmacological mechanism of natural products is often unclear and studied insufficiently. Pathway fingerprint similarity based on "drug-target-pathway" heterogeneous network provides new insight into Mechanism of Action (MoA) for natural products compared with reference drugs, which are selected approved drugs with similar bioactivity. Natural products with similar pathway fingerprints may have similar MoA to approved drugs. In our study, XYPI, an andrographolide derivative, had similar anti-inflammatory activity to Glucocorticoids (GCs) and non-steroidal anti-inflammatory drugs (NSAIDs), and GCs and NSAIDs have completely different MoA. Based on similarity evaluation, XYPI has similar pathway fingerprints as NSAIDs, but has similar target profile with GCs. The expression pattern of genes in LPS-activated macrophages after XYPI treatment is similar to that after NSAID but not GC treatment, and this experimental result is consistent with the computational prediction based on pathway fingerprints. These results imply that the pathway fingerprints of drugs have potential for drug similarity evaluation. This study used XYPI as an example to propose a new approach for investigating the pharmacological mechanism of natural products using pathway fingerprint similarity based on a "drug-target-pathway" heterogeneous network.