Regulatory Signaling Pathways Research Articles

Versatile whey acidic protein four-disulfide core domain proteins: biology and role in diseases.

The Whey acidic protein four-disulfide core (WFDC) protein family consists of proteins with one or more WFDC domains which are ubiquitously expressed throughout the body of human and perform a wide range of functions, including antiprotease, antibacterial, and immunomodulatory functions. Aberrant expression of WFDC proteins is associated with human diseases. However, review on the WFDC protein family is limited and insufficient. Furthermore, a systematic summary of the underlying mechanisms of WFDC protein activity is lacking. In this review, we give a summary of the structural basis and molecular function of these proteins and review the immune regulatory mechanisms and signaling pathways of WFDC proteins in the development of certain diseases. Furthermore, we discuss the diagnostic and prognostic potential of multiple WFDC proteins in the aforementioned conditions, as well as their prospective use. At last, we also discuss the progress of WFDC protein in clinical trials and put forward some research difficulties and the directions of follow-up research. Our review highlights the functional diversity and clinical significance of WFDC proteins family, while providing potential targets for drug development and innovative therapeutic strategies, this review lays the foundation and direction for future research on WFDC proteins.

MicroRNAs and human viral diseases: A focus on the role of microRNA-29

The viral replication can impress through cellular miRNAs. Indeed, either the antiviral responses or the viral infection changes through cellular miRNAs resulting in affecting many regulatory signaling pathways. One of the microRNA families that is effective in human cancers, diseases, and viral infections is the miR-29 family. Members of miR-29 family are effective in different viral infections as their roles have appeared in regulation of immunity pathways either in innate immunity including interferon and inflammatory pathways or in adaptive immunity including activation of T-cells and antibodies production. Although miR-29a affects viral replication by suppressing antiviral responses, it can inhibit the expression of viral mRNAs via binding to their 3′UTR. In the present work, we discuss the evidence related to miR-29a and viral infection through host immunity regulation. We also review roles of other miR-29 family members by focusing on their role as biomarkers for diagnosing and targets for viral diseases management.

Bioinformatics analysis of BTK expression in lung adenocarcinoma: implications for immune infiltration, prognostic biomarkers, and therapeutic targeting.

In recent years, as more and more lung-cancer patients have been treated with immunotherapeutic agents, their survival has been prolonged compared to before. It is well known that BTK (Bruton's tyrosine kinase) is predominantly found in cells of the hematopoietic system. However, there is a distinct lack of literature on BTK expression in lung adenocarcinoma (LUAD) patients and its effect on the immune microenvironment. Consequently, the main goal of this investigation was to analyze how BTK expression in lung adenocarcinoma affects its progression, along with its prognostic significance, through the utilization of bioinformatics online resources and publicly available databases. Data on the sequencing results and clinical records of lung adenocarcinoma patients were gathered from The Cancer Genome Atlas (TCGA) database. Based on the expression level of BKT, TCGA categorized lung adenocarcinoma patients into BTK high-expression and low-expression groups. We investigated the effects of BKT on clinicopathologic, genomic, and immunologic characteristics of lung adenocarcinoma patients. We analyzed BTK mRNA expression in tumors and normal tissues using two key resources: Tumor Immuno Estimation Resource 2.0 (TIMER 2.0) and Gene Expression Profiling Interactive Analysis 2 (GEPIA 2). We analyzed the prognosis of the patients using GEPIA2 and validated the results using univariate and multivariate analyses. In addition, we assessed BTK protein expression by Human Protein Atlas (HPA). We sought to elucidate the clinical prognostic significance of BTK in The TCGA using the online tool GEPIA 2. Furthermore, to clarify the biologic roles and pathways linked to BTK, we conducted a genomic enrichment analysis of the information. To predict the proportion of various immune cell infiltrations in the immune microenvironment of lung adenocarcinoma patients diagnosed in the TCGA database, we performed an analysis using the TIMER online tool. Using TIMER and CIBERSORT, the correlation between genes co-expressed with BTK and the corresponding tumor-infiltrating immune cells was explored; finally, the relationship between BTK expression and immune infiltration and immune checkpoints in the TMB group and the high and low groups was analyzed by R language analysis using the TCGA database. The expression of BTK provides some hints about the prognosis of the patients. The high expression of BTK is involved in immune response regulation signaling pathways, leukocyte-mediated immunity, leukocyte intercellular adhesion, graft rejection, and complement. Analysis of the GEPIA 2 database showed that BTK was co-expressed with the genes FGD2, SASH3, NCKAP1L, CD53, ARHGAP30 and LPXN. Increased expression of the above-mentioned genes resulted in increased proportions of CD8 + T cells, memory CD4 + T cells, B cells, macrophages, and dendritic cells, and decreased proportions of Treg cells and TH2 cells. In addition, our study revealed a strong positive correlation between various key immune checkpoints (e.g., PDCD1, CD274, PDCD1LG2, CTLA4, HAVCR2, LAG3, TIGIT, and SIGLEC15) and BTK expression. In conclusion, increased BTK expression in lung adenocarcinoma is closely associated with prolonged survival of lung-cancer patients. Moreover, the genes classified under the BTK high-expression group exhibit significant enrichment in immune-related pathways, suggesting a potential impact on the tumor microenvironment. We investigated the potential of BTK as a tumor suppressor gene in predicting prolonged patient survival. In addition, we further investigated the possibility that BTK further affects the immunotherapeutic response of patients by influencing the microenvironment of tumor immune infiltration, but the relevant mechanisms remain to be further studied.

Connexin 43 regulates pyroptosis by influencing intracellular calcium levels in X-ray induced vascular endothelial cell damage.

Our prior research has established that X-ray exposure induces pyroptosis in human umbilical vein endothelial cells (HUVECs), with Cx43 playing a regulatory role in this process. However, the precise mechanism by which Cx43 regulates pyroptosis remains unclear. The objective of this study is to assess the involvement of the calcium signaling pathway in Cx43-mediated regulation of X-ray-induced pyroptosis in HUVECs. HUVECs were exposed to 10 Gy X-ray radiation either alone or combined with Cx43 overexpression or knockdown. Calcium ions (Ca2+) were stained using Fluo-4/AM and analyzed via flow cytometry and confocal microscopy. Pyroptosis was assessed through flow cytometry by staining with FLICA (fluorescent-labeled inhibitor of caspase) and propidium iodide (PI). Calcium signaling was inhibited using BAPTA/AM, 2-APB, or nifedipine. Protein expression levels were assessed by western blotting. X-ray irradiation induced an increase in intracellular calcium levels in HUVECs in a dose- and time-dependent manner. The results demonstrated that regulating calcium release with BAPTA/AM, 2-APB, or nifedipine significantly reduced pyroptosis. Also, the overexpression of Cx43 significantly attenuated the increase in intracellular calcium. Conversely, Cx43 knockdown via siRNA significantly increased the intracellular calcium levels. Also, interfering with calcium signaling using BAPTA/AM, 2-APB, or nifedipine reduced the raised pyroptosis levels induced by Cx43 knockdown. Individual HUVECs exposed to high-dose X-ray irradiation exhibited an increase in intracellular calcium, leading to pyroptosis. Also, upregulating Cx43 expression reduced the pyroptosis levels by inhibiting intracellular calcium concentration. This study introduces new concepts for identifying targets for the prophylaxis and therapy of radiation-induced damage.

Global transcriptomic network analysis of the crosstalk between microbiota and cancer-related cells in the oral-gut-lung axis.

The diagnosis and treatment of lung, colon, and gastric cancer through the histologic characteristics and genomic biomarkers have not had a strong impact on the mortality rates of the top three global causes of death by cancer. Twenty-five transcriptomic analyses (10 lung cancer, 10 gastric cancer, and 5 colon cancer datasets) followed our own bioinformatic pipeline based on the utilization of specialized libraries from the R language and DAVID´s gene enrichment analyses to identify a regulatory metafirm network of transcription factors and target genes common in every type of cancer, with experimental evidence that supports its relationship with the unlocking of cell phenotypic plasticity for the acquisition of the hallmarks of cancer during the tumoral process. The network's regulatory functional and signaling pathways might depend on the constant crosstalk with the microbiome network established in the oral-gut-lung axis. The global transcriptomic network analysis highlighted the impact of transcription factors (SOX4, TCF3, TEAD4, ETV4, and FOXM1) that might be related to stem cell programming and cancer progression through the regulation of the expression of genes, such as cancer-cell membrane receptors, that interact with several microorganisms, including human T-cell leukemia virus 1 (HTLV-1), the human papilloma virus (HPV), the Epstein-Barr virus (EBV), and SARS-CoV-2. These interactions can trigger the MAPK, non-canonical WNT, and IFN signaling pathways, which regulate key transcription factor overexpression during the establishment and progression of lung, colon, and gastric cancer, respectively, along with the formation of the microbiome network. The global transcriptomic network analysis highlights the important interaction between key transcription factors in lung, colon, and gastric cancer, which regulates the expression of cancer-cell membrane receptors for the interaction with the microbiome network during the tumorigenic process.

Dysregulation of lipid metabolism in chronic kidney disease and the role of natural products.

Dysregulation of lipid metabolism plays a key role in the onset and progression of CKD, and a thorough understanding of its regulatory mechanisms is essential for the development of effective treatments. In recent years, an increasing number of studies have focused on the pharmacological activities of natural products and their application in the treatment of chronic diseases. Natural products, including plant extracts and bioactive compounds, have been shown to exert anti-inflammatory, antioxidant, antifibrosis, and anti-apoptotic effects through various signaling pathways in the treatment of CKD. Many natural products have been shown to target dysregulated lipid metabolism through various signaling pathways. This review summarizes the key regulatory factors and signaling pathways involved in the dysregulation of lipid metabolism in chronic kidney disease (CKD), highlighting their importance as potential therapeutic targets. Recently published research on the potential therapeutic benefits of natural products for the treatment of CKD was described. These studies have revealed the multi-target role of natural products in the regulation of lipid metabolism. Natural products show great potential in targeting lipid metabolism-related pathways, offering a novel research direction for the treatment of CKD while providing a scientific basis and experimental support for the development of new treatment strategies.

Potential use of HSP70 as an indicator of heat stress in dairy cows – a review

Heat stress (HS) poses significant challenges to the dairy industry, resulting in reduced milk production, impaired reproductive performance, and compromised animal welfare. Therefore, understanding the molecular mechanisms underlying cellular responses to HS is crucial for developing effective strategies to mitigate its adverse effects. Heat shock protein 70 (HSP70) has emerged as a potential player involved in cellular thermotolerance in dairy cows. This review provides a comprehensive overview of the role of HSP70 as a molecular chaperone in cellular thermotolerance in dairy cows under HS. HSP70 facilitates proper protein folding and prevents the aggregation of denatured proteins. By binding to misfolded proteins, it helps maintain protein homeostasis and prevents the accumulation of damaged proteins during HS. Additionally, HSP70 interacts with various regulatory proteins and signaling pathways, contributing to the cellular adaptive response to HS. The upregulation of HSP70 expression in response to HS is regulated by a complex network involving heat-shock factors (HSFs), heat-shock element-binding proteins, and HSF co-chaperones. Therefore, HSP70 holds the potential to be a useful indicator of tissue stress due to its role in maintaining cellular balance, and as it is released both inside and outside cells in response to stress. Traditional methods of measuring HSP70 in blood samples are labor-intensive, and with the process being potentially stressful for the animals and may subsequently affect the results. Therefore, measuring HSP expression in cow's milk has shown promise as an easy, non-invasive, and accurate way to detect HS in dairy cows. Monitoring HSP70 levels in milk can be applied as a supplementary approach to identify HS or HS resistance of individual cows, selection of suitable animals and to guide targeted management strategies. However, despite the potential advantages of using HSP70 as a biomarker for monitoring HS on dairy cows, challenges remain in standardizing measurement protocols, establishing species-specific reference ranges, addressing inter-individual variations, and determining the specificity of changes in HSP70 due to HS. Future research should focus on developing non-invasive techniques for HSP70 detection, with consideration of climatic conditions, and unravelling the molecular interactions and regulatory networks involving HSP70.

Glutathione hybrid poly (beta-amino ester)-plasmid nanoparticles for enhancing gene delivery and biosafety

IntroductionCRISPR/Cas9 gene editing technology has significantly advanced gene therapy, with gene vectors being one of the key factors for its success. Poly (beta-amino ester) (PBAE), a distinguished non-viral cationic gene vector, is known to elevate intracellular reactive oxygen species (ROS) levels, which may cause cytotoxicity and, consequently, impact gene transfection efficacy (T.E.). ObjectivesTo develop a simple but efficient strategy to improve the gene delivery ability and biosafety of PBAE both in vivo and in vitro. MethodsWe used glutathione (GSH), a clinically utilized drug with capability to modulating intracellular ROS level, to prepare a hybrid system with PBAE-plasmid nanoparticles (NPs). This system was characterized by flow cytometry, RNA-seq, Polymerase Chain Reaction (PCR) and Sanger sequencing in vitro, and its safety and efficacy in vivo was evaluated by imaging, PCR, Sanger sequencing and histology analysis. ResultsThe particle size of GSH-PBAE-plasmid NPs were 168.31 nm with a ζ-potential of 15.21 mV. An enhancement in T.E. and gene editing efficiency, ranging from 10 % to 100 %, was observed compared to GSH-free PBAE-plasmid NPs in various cell lines. In vitro results proved that GSH-PBAE-plasmid NPs reduced intracellular ROS levels by 25 %–40 %, decreased the total number of upregulated/downregulated genes from 4,952 to 789, and significantly avoided the disturbance in gene expression related to cellular oxidative stress-response and cell growth regulation signaling pathway compared to PBAE-plasmid NPs. They also demonstrated lower impact on the cell cycle, slighter hemolysis, and higher cell viability after gene transfection. Furthermore, GSH hybrid PBAE-plasmid NPs exhibited superior safety and improved tumor suppression ability in an Epstein–Barr virus (EBV)-infected murine tumor model, via targeting cleavage the EBV related oncogene by delivering CRISPR/Cas9 gene editing system and down-regulating the expression levels. This simple but effective strategy is expected to promote clinical applications of non-viral vector gene delivery.

Pyroptosis, ferroptosis, and autophagy in spinal cord injury: regulatory mechanisms and therapeutic targets.

Regulated cell death is a form of cell death that is actively controlled by biomolecules. Several studies have shown that regulated cell death plays a key role after spinal cord injury. Pyroptosis and ferroptosis are newly discovered types of regulated cell deaths that have been shown to exacerbate inflammation and lead to cell death in damaged spinal cords. Autophagy, a complex form of cell death that is interconnected with various regulated cell death mechanisms, has garnered significant attention in the study of spinal cord injury. This injury triggers not only cell death but also cellular survival responses. Multiple signaling pathways play pivotal roles in influencing the processes of both deterioration and repair in spinal cord injury by regulating pyroptosis, ferroptosis, and autophagy. Therefore, this review aims to comprehensively examine the mechanisms underlying regulated cell deaths, the signaling pathways that modulate these mechanisms, and the potential therapeutic targets for spinal cord injury. Our analysis suggests that targeting the common regulatory signaling pathways of different regulated cell deaths could be a promising strategy to promote cell survival and enhance the repair of spinal cord injury. Moreover, a holistic approach that incorporates multiple regulated cell deaths and their regulatory pathways presents a promising multi-target therapeutic strategy for the management of spinal cord injury.

Withaferin A protects against epilepsy by promoting LCN2-mediated astrocyte polarization to stopping neuronal ferroptosis

BackgroundEpilepsy is among the most frequent severe brain diseases, with few treatment options available. Neuronal ferroptosis is an important pathogenic mechanism in epilepsy. As a result, addressing ferroptosis appears to be a promising treatment approach for epilepsy. Withaferin A (WFA) is a C28 steroidal lactone that has a broad range of neuroprotective properties. Nonetheless, the antiepileptic action of WFA and the intrinsic mechanism by which it inhibits ferroptosis following epilepsy remain unknown. PurposeThis study aimed at investigating to the antiepileptic potential of WFA in epilepsy, as well as to propose a potential therapeutic approach for epilepsy therapy. MethodsWe conducted extensive research to examine the impacts of WFA on epilepsy and ferroptosis, using the kainic acid (KA)-treated primary astrocyte as an in vitro model and KA-induced temporal lobe epilepsy mice as an in vivo model. To analyze the neuroprotective effects of WFA on epileptic mice, electroencephalogram (EEG) recording, Nissl staining, and neurological function assessments such as the Morris water maze (MWM) test, Y-maze test, Elevated-plus maze (O-maze) test, and Open field test were used. Furthermore, the mechanism behind the neuroprotective effect of WFA in epilepsy was investigated using the transcriptomics analysis and verified on epileptic patient and epileptic mouse samples using Western blotting (WB) and immunofluorescence (IF) staining. In addition, WB, IF staining and specific antagonists/agonists were used to investigate astrocyte polarization and the regulatory signaling pathways involved. More critically, ferroptosis was assessed utilizing lipocalin-2 (LCN2) overexpression cell lines, siRNA knockdown, JC-1 staining, WB, IF staining, flow cytometry, electron microscopy (TEM), and ferroptosis-related GSH and MDA indicators. ResultsIn this study, we observed that WFA treatment reduced the number of recurrent seizures and time in seizure, and the loss of neurons in the hippocampal area in in epileptic mice, and even improved cognitive and anxiety impairment after epilepsy in a dose depend. Furthermore, WFA treatment was proven to enhance to the transformation of post-epileptic astrocytes from neurotoxic-type A1 to A2 astrocytes in both in vivo and in vitro experiments by inhibiting the phosphoinositide 3-kinase /AKT signaling pathway. At last, transcriptomics analysis in combination with functional experimental validation, it was discovered that WFA promoted astrocyte polarity transformation and then LCN2 in astrocytes, which inhibited neuronal ferroptosis to exert neuroprotective effects after epilepsy. In addition, we discovered significant astrocytic LCN2 expression in human TLE patient hippocampal samples. ConclusionsTaken together, for the first, our findings suggest that WFA has neuroprotective benefits in epilepsy by modulating astrocyte polarization, and that LCN2 may be a novel potential target for the prevention and treatment of ferroptosis after epilepsy.

Weiwei Decoction alleviates gastric intestinal metaplasia through the olfactomedin 4/nucleotide-binding oligomerization domain 1/caudal-type homeobox gene 2 signaling pathway.

Gastric intestinal metaplasia (IM) is a precancerous lesion that is associated with an elevated risk of gastric carcinogenesis. Weiwei Decoction (WWD) is a promising traditional Chinese herbal formula widely employed in clinical for treating IM. Previous studies suggested the potential involvement of the olfactomedin 4 (OLFM4)/nucleotide-binding oligomerization domain 1 (NOD1)/caudal-type homeobox gene 2 (CDX2) signaling pathway in IM regulation. To verify the regulation of the OLFM4/NOD1/CDX2 pathway in IM, specifically investigating WWD's effectiveness on IM through this pathway. Immunohistochemistry for OLFM4, NOD1, and CDX2 was conducted on tissue microarray. GES-1 cells treated with chenodeoxycholic acid were utilized as IM cell models. OLFM4 short hairpin RNA (shRNA), NOD1 shRNA, and OLFM4 pcDNA were transfected to clarify the pathway regulatory relationships. Protein interactions were validated by co-immunoprecipitation. To explore WWD's pharmacological actions, IM rat models were induced using N-methyl-N'-nitro-N-nitrosoguanidine followed by WWD gavage. Gastric cells were treated with WWD-medicated serum. Cytokines and chemokines content were assessed by enzyme-linked immunosorbent assay and quantitative reverse transcription polymerase chain reaction. The OLFM4/NOD1/CDX2 axis was a characteristic of IM. OLFM4 exhibited direct binding and subsequent down-regulation of NOD1, thereby sustaining the activation of CDX2 and promoting the progression of IM. WWD improved gastric mucosal histological lesions while suppressing intestinal markers KLF transcription factor 4, villin 1, and MUCIN 2 expression in IM rats. Regarding pharmacological actions, WWD suppressed OLFM4 and restored NOD1 expression, consequently reducing CDX2 at the mRNA and protein levels in IM rats. Parallel regulatory mechanisms were observed at the protein level in IM cells treated with WWD-medicated serum. Furthermore, WWD-medicated serum treatment strengthened OLFM4 and NOD1 interaction. In case of anti-inflammatory, WWD restrained interleukin (IL)-6, interferon-gamma, IL-17, macrophage chemoattractant protein-1, macrophage inflammatory protein 1 alpha content in IM rat serum. WWD-medicated serum inhibited tumor necrosis factor alpha, IL-6, IL-8 transcriptions in IM cells. The OLFM4/NOD1/CDX2 pathway is involved in the regulation of IM. WWD exerts its therapeutic efficacy on IM through the pathway, additionally attenuating the inflammatory response.

Abnormal dental follicle cells: A crucial determinant in tooth eruption disorders (Review).

The dental follicle (DF) plays an indispensable role in tooth eruption by regulating bone remodeling through their influence on osteoblast and osteoclast activity. The process of tooth eruption involves a series of intricate regulatory mechanisms and signaling pathways. Disruption of the parathyroid hormone‑related protein (PTHrP) in the PTHrP‑PTHrP receptor signaling pathway inhibits osteoclast differentiation by DF cells (DFCs), thus resulting in obstructed tooth eruption. Furthermore, parathyroid hormone receptor‑1 mutations are linked to primary tooth eruption failure. Additionally, the Wnt/β‑catenin, TGF‑β, bone morphogenetic protein and Hedgehog signaling pathways have crucial roles in DFC involvement in tooth eruption. DFC signal loss or alteration inhibits osteoclast differentiation, affects osteoblast and cementoblast differentiation, and suppresses DFC proliferation, thus resulting in failed tooth eruptions. Abnormal tooth eruption is also associated with a range of systemic syndromes and genetic diseases, predominantly resulting from pathogenic gene mutations. Among these conditions, the following disorders arise due to genetic mutations that disrupt DFCs and impede proper tooth eruption: Cleidocranial dysplasia associated with Runt‑related gene 2 gene mutations; osteosclerosis caused by CLCN7 gene mutations; mucopolysaccharidosis type VI resulting from arylsulfatase B gene mutations; enamel renal syndrome due to FAM20A gene mutations; and dentin dysplasia caused by mutations in the VPS4B gene. In addition, regional odontodysplasia and multiple calcific hyperplastic DFs are involved in tooth eruption failure; however, they are not related to gene mutations. The specific mechanism for this effect requires further investigation. To the best of our knowledge, previous reviews have not comprehensively summarized the syndromes associated with DF abnormalities manifesting as abnormal tooth eruption. Therefore, the present review aims to consolidate the current knowledge on DFC signaling pathways implicated in abnormal tooth eruption, and their association with disorders of tooth eruption in genetic diseases and syndromes, thereby providing a valuable reference for future related research.

Identification of potential biomarkers for cerebral palsy and the development of prediction models.

Cerebral palsy (CP) is a prevalent motor disorder originating from early brain injury or malformation, with significant variability in its clinical presentation and etiology. Early diagnosis and personalized therapeutic interventions are hindered by the lack of reliable biomarkers. This study aims to identify potential biomarkers for cerebral palsy and develop predictive models to enhance early diagnosis and prognosis. We conducted a comprehensive bioinformatics analysis of gene expression profiles in muscle samples from CP patients to identify candidate biomarkers. Six key genes (CKMT2, TNNT2, MYH4, MYH1, GOT1, and LPL) were validated in an independent cohort, and potential biological pathways and molecular networks involved in CP pathogenesis were analyzed. The importance of processes such as functional regulation, energy metabolism, and cell signaling pathways in the muscles of CP patients was emphasized. Predictive models of muscle sample biomarkers related to CP were developed and visualized. Calibration curves and receiver operating characteristic analysis demonstrated that the predictive models exhibit high sensitivity and specificity in distinguishing individuals at risk of CP. The identified biomarkers and developed prediction models offer significant potential for early diagnosis and personalized management of CP. Future research should focus on validating these biomarkers in larger cohorts and integrating them into clinical practice to improve outcomes for individuals with CP.

Integrating network pharmacology and computational biology to propose Yiqi Sanjie formula's mechanisms in treating NSCLC: molecular docking, ADMET, and molecular dynamics simulation.

Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related deaths globally. Current treatments often do not fully meet efficacy and quality of life expectations. Traditional Chinese medicine (TCM), particularly the Yiqi Sanjie formula, shows promise but lacks clear mechanistic understanding. This study addresses this gap by investigating the therapeutic effects and underlying mechanisms of Yiqi Sanjie formula in NSCLC. We utilized network pharmacology to identify potential NSCLC drug targets of the Yiqi Sanjie formula via the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. Compounds with favorable oral bioavailability and drug-likeness scores were selected. Molecular docking was conducted using AutoDock Vina with structural data from the Protein Data Bank and PubChem. Molecular dynamics (MD) simulations were performed with Desmond Molecular Dynamics System, analyzing interactions up to 500 nanoseconds using the OPLS4 force field. ADMET predictions were executed using SwissADME and ADMETlab 2.0, assessing pharmacokinetic properties. Using network pharmacology tools, we performed Search Tool for the Retrieval of Interaction Genes/Proteins (STRING) analysis for protein-protein interaction, Kyoto Encyclopedia of Genes and Genomes (KEGG) for pathway enrichment, and gene ontology (GO) for functional enrichment, identifying crucial signaling pathways and biological processes influenced by the hit compounds bifendate, xambioona, and hederagenin. STRING analysis indicated substantial connectivity among the targets, suggesting significant interactions within the cell cycle regulation and growth factor signaling pathways as outlined in our KEGG results. The GO analysis highlighted their involvement in critical biological processes such as cell cycle control, apoptosis, and drug response. Molecular docking simulations quantified the binding efficiencies of the identified compounds with their targets-CCND1, CDK4, and EGFR-selected based on high docking scores that suggest strong potential interactions crucial for NSCLC inhibition. Subsequent MD simulations validated the stability of these complexes, supporting their potential as therapeutic interventions. Additionally, the novel identification of ADH1B as a target underscores its prospective significance in NSCLC therapy, further expanded by our comprehensive bioinformatics approach. Our research demonstrates the potential of integrating network pharmacology and computational biology to elucidate the mechanisms of the Yiqi Sanjie formula in NSCLC treatment. The identified compounds could lead to novel targeted therapies, especially for patients with overexpressed targets. The discovery of ADH1B as a therapeutic target adds a new dimension to NSCLC treatment strategies. Further studies, both in vitro and in vivo, are needed to confirm these computational findings and advance these compounds towards clinical trials.

Interplay of TLR4 and SARS-CoV-2: Unveiling the Complex Mechanisms of Inflammation and Severity in COVID-19 Infections.

The late 2019 emergence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent of COVID-19, caused profound and unprecedented disruption to the global socio-economic structure, negatively affecting millions of lives worldwide. A typical hallmark of severe COVID-19 is hyper inflammation due to aberrant cytokine release (cytokine storm) by innate immune cells. Recent studies have revealed that SARS-CoV-2, through its spike (S) protein, can activate the body's innate immune cells via Toll-Like Receptors (TLRs), particularly TLR4. In silico studies have demonstrated that the S protein binds with high affinity to TLR4, triggering downstream signaling processes that result in pro-inflammatory cytokine release. Compared to other TLRs, such as TLR2, TLR4 plays a more significant role in initiating and sustaining the inflammatory response associated with severe COVID-19. Furthermore, interactions between the virus and target cells can enhance the cellular expression of TLR4, making cells more susceptible to viral interactions and subsequent inflammation. This increased expression of TLR4 upon viral entry creates a feedback loop, where heightened TLR4 levels lead to amplified inflammatory responses, contributing to the severity of the disease. Additionally, TLR4's potent activation of inflammatory pathways sets it apart from other TLRs, underscoring its pivotal role in the pathogenesis of COVID-19. In this review, we thoroughly explore the multitude of regulatory signaling pathways that SARS-CoV-2 employs to incite inflammation. We specifically focus on the critical impact of TLR4 activation compared to other TLRs, highlighting how TLR4's interactions with the viral S protein can exacerbate the severity of COVID-19. By delving into the mechanisms of TLR4-mediated inflammation, we aim to shed light on potential therapeutic targets that could mitigate the inflammatory damage caused by severe COVID-19. Understanding the unique role of TLR4 in the context of SARS-CoV-2 infection could pave the way for novel treatment strategies that specifically inhibit this receptor's activity, thereby reducing the overall disease burden and improving patient outcomes.

Deficiency of protein phosphatase 5 resists osteoporosis in diabetic mice

Osteoporosis is a common diabetic consequence that negatively affects patients’ health and quality of life. Nevertheless, there is mutual interference between clinical drugs intended to regulate blood glucose and bone metabolism. Therefore, it is crucial to look for new treatment targets that effectively control blood glucose and safely protect the bone health of patients with diabetes. In this study, mice given a high-fat diet were shown to be resistant to osteoporosis and diabetes when protein phosphatase 5 (PP5) knockout (KO) mice were used. Serum markers of bone remodeling show that PP5 KO mice are resistant to decreased bone formation and increased bone resorption brought on by diabetes. The absence of PP5 resists the reduction of osteoblast differentiation and the enhancement of osteoclast differentiation in diabetic mice, according to the in vitro osteoblast differentiation of bone mesenchymal stem cells and osteoclast differentiation of bone marrow-derived macrophages. Subsequent investigation revealed that PP5 deficiency increases the expression of the key regulator of osteoblast differentiation, runt-related transcription factor 2, and decreases the activity of the receptor activator of the nuclear factor-κB ligand/osteoprotegerin pathway, a crucial regulatory signaling pathway for osteoclast differentiation. In conclusion, we discovered that PP5 deficiency protects diabetic mice against osteoporosis for the first time.

Pharmacological Components and Mechanism Research on the Treatment of Myelosuppression after Chemotherapy with Danggui Jixueteng Decoction Based on Spectrum-Effect Relationships and Transcriptome Sequencing.

Danggui Jixueteng decoction (DJD) has been used to treat anemia for many years and has been shown to be effective. However, the mechanism of action and effective components are yet unknown. We want to search for pharmacodynamic components in DJD with therapeutic effects on myelosuppression after chemotherapy (MAC), utilizing a spectrum-effect connection study based on gray relational analysis and partial least-squares regression analysis. Transcriptome sequencing (RNA-Seq) was used to investigate the mechanism by which DJD treats MAC. In this study, fingerprints of different batches of DJD (S1-S10) were established by ultraperformance liquid chromatography-mass spectrometry (UPLC-MS), after which the resulting shared peaks were screened and identified. A total of 21 common peaks were screened through the fingerprints of different batches of DJD, and the similarity of each profile was greater than 0.92. The 21 shared peaks were identified by comparison with the standard sample and searching on a MassLynx 4.1 workstation. The rat model of MAC was established by intraperitoneal injection of cyclophosphamide, and DJD treatment was carried out in parallel with the establishment of the model. White blood cell count, red blood cell count, platelet count, interleukin-3, hemoglobin concentration, granulocyte-macrophage colony-stimulating factor, and nucleated cell count were used as efficacy indicators. Pharmacodynamic results indicated that DJD could effectively improve the pharmacodynamic indices of MAC rats. The results of gray relational analysis demonstrated eight peaks with high correlation with efficacy, which were 2, 7, 10, 14, 15, 16, 18, and 21, and the partial least-squares regression analysis showed four peaks with variable importance in projection values greater than 1, which were 10, 12, 13, and 19. RNA-Seq was used to identify DEGs in rat bone marrow cells, Gene Ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of DEGs were performed. The genes related to the effects of DJD on MAC were mainly involved in the phosphatidylinositol 3-kinase/serine-threonine kinase (PI3K-Akt) signaling pathway, the mitogen-activated protein kinase signaling pathway, actin cytoskeleton regulation, focal adhesion, and Rap1 signaling pathways. The results of the RNA-Seq study were confirmed by a qPCR experiment. The effective compounds of DJD against MAC include albiflorin, paeoniflorin, gallopaeoniflorin, salvianolic acid H/I, albiflorin R1, salvianolic acid B, salvianolic acid E, benzoylpaeoniflorin, and C12H18N5O4. The mechanism by which DJD prevents and treats MAC might involve the control of the PI3K-Akt signaling pathway.

Whole-genome SNP allele frequency differences between Tibetan and Large white pigs reveal genes associated with skeletal muscle growth

BackgroundThe skeletal muscle growth rate and body size of Tibetan pigs (TIB) are lower than Large white pigs (LW). However, the underlying genetic basis attributing to these differences remains uncertain. To address this knowledge gap, the present study employed whole-genome sequencing of TIB (slow growth) and LW (fast growth) individuals, and integrated with existing NCBI sequencing datasets of TIB and LW individuals, enabling the identification of a comprehensive set of genetic variations for each breed. The specific and predominant SNPs in the TIB and LW populations were detected by using a cutoff value of 0.50 for SNP allele frequency and absolute allele frequency differences (△AF) between the TIB and LW populations.ResultsA total of 21,767,938 SNPs were retrieved from 44 TIB and 29 LW genomes. The analysis detected 2,893,106 (13.29%) and 813,310 (3.74%) specific and predominant SNPs in the TIB and LW populations, and annotated to 24,560 genes. Further GO analysis revealed 291 genes involved in biological processes related to striated and/or skeletal muscle differentiation, proliferation, hypertrophy, regulation of striated muscle cell differentiation and proliferation, and myoblast differentiation and fusion. These 291 genes included crucial regulators of muscle cell determination, proliferation, differentiation, and hypertrophy, such as members of the Myogenic regulatory factors (MRF) (MYOD, MYF5, MYOG, MYF6) and Myocyte enhancer factor 2 (MEF2) (MEF2A, MEF2C, MEF2D) families, as well as muscle growth inhibitors (MSTN, ACVR1, and SMAD1); KEGG pathway analysis revealed 106 and 20 genes were found in muscle growth related positive and negative regulatory signaling pathways. Notably, genes critical for protein synthesis, such as MTOR, IGF1, IGF1R, IRS1, INSR, and RPS6KA6, were implicated in these pathways.ConclusionThis study employed an effective methodology to rigorously identify the potential genes associated with skeletal muscle development. A substantial number of SNPs and genes that potentially play roles in the divergence observed in skeletal muscle growth between the TIB and LW breeds were identified. These findings offer valuable insights into the genetic underpinnings of skeletal muscle development and present opportunities for enhancing meat production through pig breeding.

Epigenetic silencing of LDHB to promote hepatocellular carcinoma by remodeling the tumor microenvironment.

e16220 Background: Hepatocellular carcinoma (HCC) is a deadly disease with limited therapeutic options. Low expression of the LDHB has been associated with poor prognosis of HCC patients, but the role and underlying mechanism remains unclear. Methods: The HCC dada from The Cancer Genome Atlas (TCGA) and GEO were obtained to analyze the LDHB expression and DNA methylation levels. Next, the correlation between LDHB and Hallmark gene sets was analyzed by GO and KEGG. RNA-seq, Western blotting, Immunohistochemistry, and Bisulfite DNA sequencing were performed to explore the relationship between DNA methylation and LDHB expression. CCK8 and colony formation assay were used to evaluate the effect of overexpression of LDHB on the proliferation of hepatocellular carcinoma cells in vitro. Finally, the role of LDHB in HCC tumor immunity was assessed in multiple mouse models in vivo. Results: Here, we found that down-regulation of LDHB was coupled with the promoter hypermethylation and knocking down the DNMT 3A restored LDHB expression levels in HCC cell lines. Bioinformatics analysis of the HCC cohort from The Cancer Genome Atlas revealed a significant positive correlation between LDHB expression and immune regulatory signaling pathways and immune cell infiltrations. Notably, HCC patients with high LDHB expression responded better to immune checkpoint inhibitors. Finally, we demonstrated that there was no difference in the tumor growth rate between the LDHB-expressing tumors and the control tumors in immunodeficient BALB/c nude mice. However, the LDHB-expressing tumors were significantly inhibited in immunocompetent C57BL/6 mice, suggesting that the host immune system was involved in the LDHB-medicated tumor suppression. Moreover, as compared with the LDHB+/+ mice, LDHB-/- mice showed promoted tumor growth in an NRAS/shp53 plasmid-induced primary liver tumor model. Conclusions: Overall, our findings indicate that DNMT3A-mediated epigenetic silencing of LDHB may contribute to HCC progression through remodeling the tumor immune microenvironment, and LDHB may become a potential prognostic biomarker and target for HCC immunotherapy.

Effect of diabetes on hypoxic microvascular remodeling and muscle damage in chronic limb threatening ischemia

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): Finnish Academy/Research Council of Finland. The Finnish Foundation for Cardiovascular Research Background Hypoxia-induced arterialization of skeletal muscle capillaries has recently been identified as an important pathological feature that aggravates ischemic damage in chronic limb threatening ischemia (CLTI). Diabetes is also known to worsen the outcome of CLTI patients but its contribution to capillary arterialization and skeletal muscle pathology under ischemia is still largely unknown. Purpose To study how diabetes affects capillary arterialization and skeletal muscle pathology in CLTI. Methods Amputation muscle samples from CLTI patients (n=21 patients x3 samples) were histologically analyzed, grouped according to microvascular changes and RNA sequencing was performed. Differentially expressed genes, differentially regulated signaling pathways and histology between diabetics and non-diabetics were studied among corresponding microvascular groups. Also, spatial transcriptomics (n=2 patients) was applied to understand the mechanisms through which diabetes alters differential capillary responses on the tissue level. Results Diabetes differentially regulated gene expression of different angiogenic and arteriogenic factors including HIF1A, VEGFA, FLT1, NOTCH1, NOTCH3, NOS1 and ITGB3 in the CLTI muscles. This differential transcriptomic regulation translated as increased sprouting on the level of muscle capillaries, and also affected myofiber pathology. Muscle samples in diabetic patients often presented myofiber swelling and cell death that were uncommon in samples of non-diabetic patients. Conclusion Diabetic patients on the level of muscle transcriptional regulation show changes that can explain observed differential microvascular remodeling and worsened myofiber pathology. These results broaden our understanding of the causes for the exceptionally bad outcome of diabetics among CLTI patients.