POP1 might be recruiting its type-Ia interface for NLRP3-mediated PYD-PYD interaction: Insights from MD simulation

Machine learning-informed liquid-liquid phase separation for personalized breast cancer treatment assessment

Background

Breast cancer, characterized by its heterogeneity, is a leading cause of mortality among women. The study aims to develop a Machine Learning-Derived Liquid-Liquid Phase Separation (MDLS) model to enhance the prognostic accuracy and personalized treatment strategies for breast cancer patients.

Methods

The study employed ten machine learning algorithms to construct 108 algorithm combinations for the MDLS model. The robustness of the model was evaluated using multi-omics and single-cell data across 14 breast cancer cohorts, involving 9,723 patients. Genetic mutation, copy number alterations, and single-cell RNA sequencing were analyzed to understand the molecular mechanisms and predictive capabilities of the MDLS model. Immunotherapy targets were predicted by evaluating immune cell infiltration and immune checkpoint expression. Chemotherapy targets were identified through correlation analysis and drug responsiveness prediction.

Results

The MDLS model demonstrated superior prognostic power, with a mean C-index of 0.649, outperforming 69 published signatures across ten cohorts. High-MDLS patients exhibited higher tumor mutation burden and distinct genomic alterations, including significant gene amplifications and deletions. Single-cell analysis revealed higher MDLS activity in tumor-aneuploid cells and identified key regulatory factors involved in MDLS progression. Cell-cell communication analysis indicated stronger interactions in high-MDLS groups, and immunotherapy response evaluation showed better outcomes for low-MDLS patients.

Conclusion

The MDLS model offers a robust and precise tool for predicting breast cancer prognosis and tailoring personalized treatment strategies. Its integration of multi-omics and machine learning highlights its potential clinical applications, particularly in improving the effectiveness of immunotherapy and identifying therapeutic targets for high-MDLS patients.

PGC-1α inhibits NLRP3 signaling through transcriptional activation of POP1 to alleviate inflammation and strengthen osteogenic differentiation of lipopolysaccharide-induced human periodontal stem cells

Periodontitis is a chronic infectious disease that affects the oral health of adults. Periodontal stem cells (PDLSCs) have good self-renewal and multipotential differentiation abilities to maintain the integrity of periodontal support structure and repair defects. This study aimed to elucidate the role of peroxisome proliferator activated receptor-γ co-activator 1-α (PGC-1α) in lipopolysaccharide (LPS)-induced PDLSCs and the underlying mechanisms related to predicated that pyrin domain (PYD)-only protein 1 (POP1). Notably downregulated PGC-1α and POP1 expression was observed in LPS-induced PDLSCs. PGC-1α or POP1 overexpression significantly reduced the inflammation and enhanced the osteogenic differentiation of LPS-treated PDLSCs. Particularly, PGC-1 bound to POP1 promoter region and upregulated POP1 expression. Moreover, POP1 knockdown ameliorated the impacts of PGC-1α overexpression on the inflammation and osteogenic differentiation in LPS-induced PDLSCs. Besides, PGC-1α inactivated NLRP3 signaling in LPS-treated PDLSCs, which was reversed by POP1 knockdown. Taken together, PGC-1α inhibits NLRP3 signaling through transcriptional activation of POP1, thereby alleviating inflammation and strengthening osteogenic differentiation of LPS-induced PDLSCs.

Clinical significance for diagnosis and prognosis of POP1 and its potential role in breast cancer: a comprehensive analysis based on multiple databases

Background: Breast cancer (BC) is one of the most common cancers in women. The discovery of available biomarkers is crucial for early diagnosis and improving prognosis. The effect of POP1 in BC remains unrevealed. Our study aims to explore the expression of POP1 in BC and demonstrate its clinical significance and potential molecular mechanisms.

Methods: The Cancer Genome Atlas (TCGA) BC cohort transcriptome data and corresponding clinical information were downloaded. GSE42568 cohort, GSE162228 cohort, GSE7904 cohort, and GSE161533 cohort in the Gene Expression Omnibus (GEO) database were used as verification groups. R software and several web tools were used for statistical analysis. Moreover, the proliferation, transwell, wound healing experiments, and flow cytometry were used for in vitro investigation.

Results: Compared with normal breast tissue, POP1 expression was up-regulated in BC tissue with a higher mutation rate. POP1 had good diagnostic value for BC and could be utilized as a new marker. POP1 was significantly correlated with multiple pathways in BC and played an important role in the immune infiltration of BC. High-POP1 expression patients were more prone to be responded to immunotherapy and had a significantly higher percentage of immunotherapy response rate. Moreover, POP1 promoted proliferation and migration and inhibited apoptosis in BC cells.

Conclusions: POP1 expression was up-regulated in BC and was associated with a poor prognosis. Patients with high-POP1 expression were more likely to be responded to immunotherapy. Our study can provide a potential marker POP1 for BC, which is beneficial in the diagnosis and treatment of BC.

Identification of NLRP3PYD Homo-Oligomerization Inhibitors with Anti-Inflammatory Activity

Inflammasomes are multiprotein complexes that represent critical elements of the inflammatory response. The dysregulation of the best-characterized complex, the NLRP3 inflammasome, has been linked to the pathogenesis of diseases such as multiple sclerosis, type 2 diabetes mellitus, Alzheimer's disease, and cancer. While there exist molecular inhibitors specific for the various components of inflammasome complexes, no currently reported inhibitors specifically target NLRP3^PYD homo-oligomerization. In the present study, we describe the identification of QM380 and QM381 as NLRP3^PYD homo-oligomerization inhibitors after screening small molecules from the MyriaScreen library using a split-luciferase complementation assay. Our results demonstrate that these NLRP3^PYD inhibitors interfere with ASC speck formation, inhibit pro-inflammatory cytokine IL1-β release, and decrease pyroptotic cell death. We employed spectroscopic techniques and computational docking analyses with QM380 and QM381 and the PYD domain to confirm the experimental results and predict possible mechanisms underlying the inhibition of NLRP3^PYD homo-interactions.

Structural Elucidation of Inter-CARD Interfaces involved in NOD2 Tandem CARD Association and RIP2 Recognition

Nucleotide-binding and oligomerization domain-containing protein 2 (NOD2) recognizes the muramyl dipeptide and activates the NF-κB signaling cascade following its interaction with receptor-interacting protein 2 (RIP2) via caspase recruitment domains (CARDs). The NOD2-RIP2 interaction is not understood well due to inadequate structural information. Using comparative modeling and multimicrosecond timescale molecular dynamics simulations, we have demonstrated the association of NOD2-CARDs (CARDa-CARDb) and their interaction with RIP2^CARD. Our results suggest that a negatively charged interface of NOD2^CARDa and positively charged type-Ia interface of NOD2^CARDb are crucial for CARDa-CARDb association and the type-Ia interface of NOD2^CARDa and type-Ib interface of RIP2^CARD predicted to be involved in 1:1 CARD-CARD interaction. Moreover, the direct interaction of NOD2^CARDb with RIP2^CARD signifies the importance of both CARDs of NOD2 in RIP2-mediated CARD-CARD interaction. Altogether, the structural results could help in understanding the underlying molecular details of the NOD2-RIP2 association in higher and lower eukaryotes.

In silico characterization and differential expression analysis of 1-deoxy-d-xylulose-5-phosphate reductoisomerase (DXR) of Centella asiatica

The 1-deoxy-d-xylulose-5-phosphate reductoisomerase (DXR; EC1.1.1.267), an NADPH-dependent reductase, plays a pivotal role in the methylerythritol 4-phosphate pathway (MEP), in the conversion of 1-deoxy-d-xylulose-5-phosphate (DXP) into MEP. Photochemical profiles, as well as pharmaceutical activities of Centella asiatica (L.), one of the most valuable medicinal plants, divulge the presence of secondary metabolites called Centellosides. Despite well-studied pharmaceutical activities, not much is known about the genes responsible for the synthesis of these compounds. In the present study, the full-length DXR gene sequence (JQ965955) of Centella submitted in NCBI was characterized using various bioinformatics tools and tissue specific differential expression studies were also carried out. The full-length CDNA of CaDXR contains an open reading frame (ORF) of 1425 bp which encodes a peptide of 474 amino acids. The molecular weight of this protein was found to be 51.5 kDa with isoelectric point of 6.33. The protein contains three conserved domain, namely NADPH (GSTGSIGT and LAAGSNV), substrate binding (LPADSEHSAI and NKGLEVIEAHY) and Cys-Ser-(Ala/Met/Val/Thr) cleavage-site domains. Phylogenetic studies of CaDXR sequence show close homology with DXR sequence of Angelica sinensis and Daucus carota subsp sativus as they all belong to Apiaceae family. In silico analysis predicted that CaDXR protein contains 21 α-helix and 11 β-sheets and further DXR protein model was validated by Ramachandran plot analysis. The results of molecular dynamics (MD) simulations unveil dynamic stability of the proposed model and docking studies suggest that the NDP cofactor tightly binds in the active site of the protein with a strong network of hydrogen and hydrophobic interactions. The expression studies by semi-RT followed by qRT-PCR suggests that CaDXR is differentially expressed in different tissues (with maximal expression in the node and lowest in the roots). Thus, characterization and structure-function analysis of DXR gene in Centella facilitate us to understand not only the functions of DXR gene but also regulatory mechanisms involved in the MEP pathway in C. asiatica plant at the molecular level.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s13205-021-02723-w.

ATP-Binding and Hydrolysis in Inflammasome Activation

The prototypical model for NOD-like receptor (NLR) inflammasome assembly includes nucleotide-dependent activation of the NLR downstream of pathogen- or danger-associated molecular pattern (PAMP or DAMP) recognition, followed by nucleation of hetero-oligomeric platforms that lie upstream of inflammatory responses associated with innate immunity. As members of the STAND ATPases, the NLRs are generally thought to share a similar model of ATP-dependent activation and effect. However, recent observations have challenged this paradigm to reveal novel and complex biochemical processes to discern NLRs from other STAND proteins. In this review, we highlight past findings that identify the regulatory importance of conserved ATP-binding and hydrolysis motifs within the nucleotide-binding NACHT domain of NLRs and explore recent breakthroughs that generate connections between NLR protein structure and function. Indeed, newly deposited NLR structures for NLRC4 and NLRP3 have provided unique perspectives on the ATP-dependency of inflammasome activation. Novel molecular dynamic simulations of NLRP3 examined the active site of ADP- and ATP-bound models. The findings support distinctions in nucleotide-binding domain topology with occupancy of ATP or ADP that are in turn disseminated on to the global protein structure. Ultimately, studies continue to reveal how the ATP-binding and hydrolysis properties of NACHT domains in different NLRs integrate with signaling modules and binding partners to control innate immune responses at the molecular level.

The Shigella Type III Secretion Effector IpaH4.5 Targets NLRP3 to Activate Inflammasome Signaling

Activation of the NLRP3 inflammasome requires the expression of NLRP3, which is strictly regulated by its capacity to directly recognize microbial-derived substances. Even though the involvement of caspase-1 activation in macrophages via NLRP3 and NLRC4 has been discovered, the accurate mechanisms by which Shigella infection triggers NLRP3 activation remain inadequately understood. Here, we demonstrate that IpaH4.5, a Shigella T3SS effector, triggers inflammasome activation by regulating NLRP3 expression through the E3 ubiquitin ligase activity of IpaH4.5. First, we found that IpaH4.5 interacted with NLRP3. As a result, IpaH4.5 modulated NLRP3 protein stability and inflammasome activation. Bacteria lacking IpaH4.5 had dramatically reduced ability to induce pyroptosis. Our results identify a previously unrecognized target of IpaH4.5 in the regulation of inflammasome signaling and clarify the molecular basis for the cytosolic response to the T3SS effector.

NLRP3 Inflammasome: A Potential Alternative Therapy Target for Atherosclerosis

Atherosclerosis (AS) is a complex and chronic inflammatory disease that occurs in multiple systems of the human body. It is an important pathological basis for a variety of diseases and a serious threat to human health. So far, many theories have been formed to explain the pathogenesis of atherosclerosis, among which “inflammation theory” has gradually become a research focus. This theory presents that inflammatory response runs through the whole progress of AS, inflammatory cells play as the main executors of AS, and inflammatory mediators are the key molecules of AS. In the inflammatory process of atherosclerosis, the role of NLRP3 in the atherosclerosis has gradually got the attention of researchers. NLRP3 is a kind of signal-transductional pattern recognition receptors (PRRs). After recognizing and binding to the damage factors, NLRP3 inflammasome will be assembled to activate IL-1β and caspase-1 pathways, resulting in promoting the inflammation process of AS, reducing the stability of the plaques, and finally increasing the incidence of adverse cardiovascular events. Taken above, the article will review the potential benefits of drugs targeting the NLRP3 inflammasome in the therapy of AS.

Deciphering the ATP-binding mechanism(s) in NLRP-NACHT 3D models using structural bioinformatics approaches

Nucleotide-binding and oligomerization domain (NOD)-like receptors (NLRs), the first line of defense, are the cytosolic pattern recognition receptors (PRRs) that regulate the inflammatory activity in response to invading pathogens. NLRs are the members of AAA+ ATPase superfamily that comprises of N-terminal EBD(s), a centrally positioned NOD/NACHT and varying range of LRRs towards the C-terminal end. Due to the lack of structural data, the functional aspects of NLRP-signaling mechanism, which includes pathogen recognition, nucleotide-binding, and sensor-adaptor-effector interactions, are not fully understood. In this study, we implemented structural bioinformatics approaches including protein modeling, docking, and molecular dynamics simulations to explore the structural-dynamic features of ADP-/ATP-Mg2+ binding in NLRPNACHT models. Our results indicate a similar mode of ATP-Mg2+ binding in all NLRPNACHT models and the interacting residues are found consistent with reported mutagenesis data. Accompanied by the key amino acids (proposed to be crucial for ATP-Mg2+ coordination), we further have noticed that some additional conserved residues (including 'Trp' of the PhhCW motif, and 'Phe' and 'Tyr' of the GFxxxxRxxYF motif) are potentially interacting with ATP during dynamics; which require further experimentation for legitimacy. Overall, this study will help in understanding the ADP-/ATP-Mg2+ binding mechanisms in NLRPs in a broader perspective and the proposed ATP-binding pocket will aid in designing novel inhibitors for the regulation of inflammasome activity.

Elucidating the interfaces involved in CARD-CARD interactions mediated by NLRP1 and Caspase-1 using molecular dynamics simulation

Inflammasomes are the multi-protein caspase-activating complexes mainly assembled by the sensor proteins (NLRs/ALRs), adaptor molecule (ASC) and effector molecule pro-caspase-1 for the production and release of proinflammatory cytokines, IL-1β and IL-18. NLRP1 is the first NLR known to assemble the multi-protein complex. Unlike NLRP3, NLRP1 has an additional effector binding domain (CARD) at the carboxyl-terminal, which is reported to interact with pro-caspase-1 (precluding the recruitment of ASC) for the transmission of danger signals. So far no direct interaction has been observed between the NLRP1 and CASP1 at the structural level. In this study, an attempt has been made to elucidate the possible mode of interaction(s) between CASP1 and NLRP1 CARDs using structural bioinformatics approaches. The results revealed that the type-Ia patch of CASP1^CARD (R10, K11, and R55) is probably the favorable interface for 1:1 interaction. Moreover, the interactions mediated in the type-II and/(or) type-III interfaces of counter CARDs can also be not ruled out altogether. Overall, the findings of this study can be beneficial in understanding the underlying molecular mechanism(s) associated with NLRP1-mediated inflammasome.