Pharmacogenomics & Personalized Medicine最新文献

Objective: To explore the effect of Naoxintong (NXT) on warfarin anticoagulation therapy and its potential mechanism.

Methods: TCSMP, SwissTargetprediction, SuperPred, SEA, and Batmanic-TCM were used to search for active ingredients and targets of NXT and warfarin; the DisGENT database was used to find disease targets of coagulation disorders. Cytoscape software was applied to construct the "drug-target"network; the protein interaction network (PPI) was used to study the protein-protein interaction. GO and KEGG were used for functional analysis. The effect of NXT on warfarin anticoagulation was then tested in rats by analyzing coagulation factors in blood before and after drug administration. The expression of MAPK in the liver tissue was determined by Western blot.

Results: The top five components of NXT affecting warfarin anticoagulation degree value were MOL000098, MOL000422, MOL000006, MOL000358, and MOL000449. TP53, AKT1, SRC, TNF, HSP90AA1, STAT3, JUN, IL6, EGFR, and ESR1 were the core targets of NXT, while MAPK9, MAP3K5, MAPK8, and MAPK1 in the MAPK family were important targets of NXT in the coagulation process. In vivo testing indicated that NXT may be able to participate in the regulation of the warfarin coagulation process through multiple targets and multiple pathways, which may be related to MAPK.

Conclusion: Our data suggests that NXT is involved in the coagulation regulation of warfarin through the MAPK pathway.

Pharmacogenomics is the integration of genomics and pharmacology to optimize drug response and reduce side effects. In terms of personalized or individualized medicine, PGx is defined as the identification and analysis of specific genetic variants associated with particular drug treatments for each patient. Under a precision public health (PPH) approach, population-level data are analyzed to generate public health strategies. The objective of this study was to conduct a scoping review of technological tools, examining their evolution, the predominance of high-income countries in their development, and the gaps and needs for genomic data and advances in low- and middle-income countries (LMICs). This review was conducted in accordance with the ScPRISMA guidelines. A search was conducted in PubMed, Web of Science and Embase until January 2024. A total of 40 documents were selected, which revealed the continuous evolution and progressive development of pharmacogenomic tools. The technological tools developed come from high-income countries, particularly the United States, Canada, China, and several European nations, where international collaboration has been essential to maintain and expand these tools, which have evolved to keep pace with the rapid generation of genomic data. This trend shows a scarce development of technological tools for public health precision in LMICs, which evidences the need to increase investment in genomic research infrastructure in this aspect and in the development of capacities to guarantee global accessibility and boost PPH for all populations.

Background: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition marked by diverse symptoms affecting social interaction, communication, and behavior. This research aims to explore bacterial lipopolysaccharide (LPS)- and immune-related (BLI) molecular subgroups in ASD to enhance understanding of the disorder.

Methods: We analyzed 89 control samples and 157 ASD samples from the GEO database, identifying BLI signatures using least absolute shrinkage and selection operator regression (LASSO) and logistic regression machine learning algorithms. A nomogram prediction model was developed based on these signatures, and we performed Gene Set Enrichment Analysis (GSEA), Gene Set Variation Analysis (GSVA), and immune cell infiltration analysis to assess the impact of BLI subtypes and their underlying mechanisms.

Results: Our findings revealed 17 differentially expressed BLI genes in children with ASD, with BLNK, MAPK8, PRKCQ, and TNFSF12 identified as potential biomarkers. The nomogram demonstrated high diagnostic accuracy for ASD. We delineated two distinct molecular subtypes (Cluster 1 and Cluster 2), with GSVA indicating that Cluster 2 showed upregulation of immune- and inflammation-related pathways. This cluster exhibited increased levels of antimicrobial agents, chemokines, cytokines, and TNF family cytokines, alongside activation of bacterial lipoprotein-related pathways. A significant correlation was found between these pathways and distinct immune cell subtypes, suggesting a potential mechanism for neuroinflammation and immune cell infiltration in ASD.

Conclusion: Our research highlights the role of BLI-associated genes in the immune responses of individuals with ASD, indicating their contribution to the disorder's typification. The interplay between bacterial components, genetic predisposition, and immune dysregulation offers new insights for understanding ASD and developing personalized interventions.

Background: Multiple myeloma (MM) is a hematological malignancy characterized by the clonal proliferation of malignant plasma cells within the bone marrow. The disease's complexity is underpinned by a variety of genetic and molecular abnormalities that drive its progression.

Methods: This review was conducted through a state-of-The-art literature search, primarily utilizing PubMed to gather peer-reviewed articles. We focused on the most comprehensive and cited studies to ensure a thorough understanding of the genetic and molecular landscapes of MM.

Results: We detail primary and secondary alterations such as translocations, hyperdiploidy, single nucleotide variants (SNVs), copy number alterations (CNAs), gene fusions, epigenetic modifications, non-coding RNAs, germline predisposing variants, and the influence of the tumor microenvironment (TME). Our analysis highlights the heterogeneity of MM and the challenges it poses in treatment and prognosis, emphasizing the distinction between driver mutations, which actively contribute to oncogenesis, and passenger mutations, which arise due to genomic instability and do not contribute to disease progression.

Conclusion & future perspectives: We report key controversies and challenges in defining the genetic drivers of MM, and examine their implications for future therapeutic strategies. We discuss the importance of systems biology approaches in understanding the dependencies and interactions among these alterations, particularly highlighting the impact of double and triple-hit scenarios on disease outcomes. By advancing our understanding of the molecular drivers and their interactions, this review sets the stage for novel therapeutic targets and strategies, ultimately aiming to improve clinical outcomes in MM patients.

Purpose: This study aimed to investigate the distribution patterns of PLA2G7 gene variants in Han Chinese patients with coronary heart disease (CHD), and their relationships with serum lipoprotein-associated phospholipase A2 (Lp-PLA2) levels and lipid profiles.

Methods: A total of 93 han Chinese CHD patients were recruited. Serum Lp-PLA2 levels were determined using enzyme-linked immunosorbent assay (ELISA), while comprehensive analysis of PLA2G7 gene polymorphisms was conducted through whole-exome sequencing. Concurrently, multiple lipid parameters were measured and analyzed.

Results: Among these Han Chinese CHD patients, the PLA2G7 gene rs1051931 (c.1136T>C p.Val379Ala) rare variant was highly prevalent (variant rate: 94.62%) among the study population, and showed negative correlation with serum Lp-PLA2 activity. The rs1765208290 (c.233G>A p.Gly78Asp) rare variant showed positive correlation with TG, ApoA, ApoB, HDL, LDL and TCHO levels in the serum. Strong linkage disequilibrium was observed between the rs1805018 (c.593T>C p.Ile198Thr) and rs76863441 (c.835G>T p.Val279Phe), both of which were related to lower Lp-PLA2 activity.

Conclusion: In these Han Chinese CHD patients, the rs1051931 (c.1136T>C p.Val379Ala) rare variant in the PLA2G7 gene is closely linked to decreased Lp-PLA2 activity, whereas the rs1765208290 (c.233G>A p.Gly78Asp) rare variant influences lipid homeostasis. The strong LD between rs1805018 (c.593T>C p.Ile198Thr) and rs76863441 (c.835G>T p.Val279Phe) loci may act synergistically to reduce Lp-PLA2 activity.

Objective: The objective of this study was to evaluate the impact of clopidogrel-related gene polymorphisms on the occurrence of recurrent thrombotic events and cardiovascular death in patients with acute coronary syndrome (ACS) following percutaneous coronary intervention (PCI).

Methods: We conducted genotype testing for 26 specific loci mapped to 18 clopidogrel-associated genes in ACS patients who had undergone PCI and were receiving dual antiplatelet therapy only involving clopidogrel. We documented major adverse cardiovascular events (MACE) and clinical endpoints, analyzing the effect of genetic polymorphisms on treatment outcomes.

Results: A total of 200 patients were enrolled in the study, with ischemic events occurring in 21 cases. Carriers of the T-allele for rs41273215 (PEAR1), rs662 (PON1), and the A-allele for rs4244285 (CYP2C19), as well as the C-allele for rs762551 (CYP1A2), exhibited a significant increase in the risk of MACE (OR = 2.76, 95% CI = 1.46-5.22, P = 0.002; OR = 3.72, 95% CI = 1.82-7.64, P = 0.0003; OR = 3.86, 95% CI = 1.89-7.86, P = 0.0002; OR = 2.40, 95% CI = 1.27-4.55, P = 0.007). Notably, the variant T-allele of rs168753 (F2R) was associated with a significant reduction in the risk of such events (OR = 0.29, 95% CI = 0.12-0.67, P = 0.004). No significant associations were found between other single nucleotide polymorphisms (SNPs) and clinical endpoints.

Conclusion: Polymorphisms in rs41273215 (PEAR1), rs662 (PON1), rs4244285 (CYP2C19), and rs762551 (CYP1A2) were correlated with an increased risk of MACE in PCI patients. Conversely, the rs168753 (F2R) polymorphism was linked to improved cardiovascular outcomes. Genotyping for these polymorphisms could be instrumental in identifying patients at heightened risk for MACE.

Purpose: Atorvastatin is commonly used to treat dyslipidemia; however, individual responses vary considerably. This study endeavors to evaluate the relationship between polymorphisms in the coding sequence (CDS) of SLCO1B1 gene and blood lipid levels before and after atorvastatin treatment among the Chinese Han adults with dyslipidemia.

Patients and methods: A total of 165 Chinese Han adults undergoing atorvastatin therapy were enrolled in this study and followed up quarterly. The complete CDS of the SLCO1B1 gene was sequenced to detect polymorphisms. Statistical analysis was utilized to assess the impacts of sex, age, body mass index (BMI), and polymorphisms on blood lipid levels before and after atorvastatin treatment.

Results: Fourteen polymorphisms were identified in the SLCO1B1 CDS. Among them, four polymorphisms had mutant alleles present in over 20 patients. No polymorphism was found to correlate with blood lipid levels before treatment; in contrast, age, sex, and BMI did show correlations (P<0.05). Notably, females had higher baseline blood lipid levels than males, indicating that sex had a more significant impact on baseline levels than age and BMI. The polymorphism rs2306283 was significantly correlated with the efficacy of atorvastatin (P<0.05), whereas age, sex, and BMI were not. Carriers of the rs2306283 AA allele experienced a substantially greater reduction in total cholesterol (TC) and triglyceride (TG) levels after atorvastatin treatment. The other polymorphisms did not demonstrate any significant impact on atorvastatin's efficacy.

Conclusion: This study delved into the intricate genetic structure of polymorphisms in SLCO1B1 CDS and their roles in lipid metabolism and atorvastatin's efficacy among Chinese Han adults with dyslipidemia. The findings underscore the crucial role of the rs2306283 polymorphism in the response to atorvastatin's efficacy, highlighting the significance of pharmacogenomics in personalized medicine. It is thus advisable to consider genetic testing for SLCO1B1 variants to optimize atorvastatin therapy.

Objective: To identify key genes and potential molecular mechanisms associated with Hashimoto's thyroiditis (HT) to provide new insights for the development of diagnostic and therapeutic targets for this disease.

Methods: Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were conducted to identify the differentially expressed genes (DEGs) associated with HT. A protein-protein interaction (PPI) network was used to obtain hub genes, with CD27 emerging as the key gene in HT. Gene Ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis, Gene Set Enrichment Analysis (GSEA), and HT-infiltrating immune cell components as well as functions were performed to further investigate the role and potential mechanism of CD27 in cohorts with high and low expression of CD27.

Results: CD27 was found to be upregulated in HT tissues and showed considerable clinical utility in HT. The CD27 of the high-expression cohort exhibited a higher enrichment in immune-related biological processes than the low-expression group. Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) analysis revealed that several activated HT-infiltrating immune cells were strongly associated with CD27, suggesting that CD27 has the potential to be a marker for the immune state in HT.

Conclusion: In our study, CD27 was found to contribute to predicting clinical outcomes in patients with HT, including disease status and response to immunotherapy. CD27 is a promising biomarker for HT microenvironment remodeling, offering insights into new therapeutic approaches to improve treatment of HT.

Background: Studies have found that RNA-binding proteins (RBPs) are participated in the occurrence or development of tumours. However, the role of processing of precursor family (POP family) in clear cell renal cell carcinoma (ccRCC) has not been studied yet. Here, we analyzed the expression and prognostic value of POP family in ccRCC analyzed and subsequently revealed the relationship between POP7 and immune infiltration in ccRCC patients.

Methods: POP family expression in cancer and normal tissues was analyzed in Cancer Genome Atlas pan-cancer (TCGA-pan-cancer). Kaplan-Meier (KM) survival analysis, univariable and multivariable analysis demonstrated the survival of ccRCC with POP family in Kidney Clear Cell Carcinoma (TCGA-KIRC). POP7 mRNA and protein expression were verified by Gene Expression Omnibus (GEO) data, the quantitative real-time polymerase chain reaction (qRT-PCR), and Office of Cancer Clinical Proteomics Research (CPTAC). The diagnostic ability of POP7 mRNA and protein expression was achieved with ROC curves. Gene Set Enrichment Analysis (GSEA) and TiMER2 evaluated pathogenesis role and immune infiltration of POP7in ccRCC.

Results: There is a significant difference in expression of POP family in TCGA-pan-cancer, especially in ccRCC. KM survival analysis, univariable and multivariable analysis demonstrated low expression of POP7 and was associated with poor OS and poor DFS. GEO data, the qRT-PCR, and CPTAC verified the high expression of POP7 mRNA and protein in ccRCC. ROC curves verified a valuable diagnostic ability of POP7 in mRNA and protein expression. GSEA demonstrated POP7 was associated with CD8+cells, CD4+cells, natural killer (NK) cells, and helper T (TH1) cells. TiMER2 results indicated POP7 had a positive correlation with T cell regulatory (Tregs) and myeloid-derived suppressor cells (MDSC) in ccRCC and was an immunosuppressor for ccRCC.

Conclusion: POP7 was a reliable immunosuppressor, predictor and biomarker for ccRCC.

Background: Osteosarcoma (OS) is a primary malignancy of bone. The emergence of chemoresistance represents a persistent barrier to effective cancer patient care. This analysis sought to examine hsa_circ_0078767 as a mediator of doxorubicin (DOX) resistance in OS.

Methods: Levels of hsa_circ_0078767, miR-188-3p, and glutathione peroxidase 4 (GPX4) in OS clinical tissue samples and cell lines were evaluated by quantitative polymerase chain reaction (qPCR) and Western blotting. Associations between hsa_circ_0078767 levels in clinical samples and patient overall survival were assessed with Kaplan-Meier curves. CCK-8 assays were utilized as a means of examining DOX half-inhibitory concentration (IC₅₀) values. RNA immunoprecipitation and pull-down, as well as reporter assays, investigated interactions between hsa_circ_0078767, miR-188-3p, and GPX4 within OS cells exhibiting DOX resistance.

Results: OS patient tissues and cell lines resistant to DOX exhibited elevated hsa_circ_0078767 and GPX4 expression together with a reduction in miR-188-3p levels. Inhibiting hsa_circ_0078767 expression contributed to a profound decrease in the ability of OS tumors to resist DOX. Mechanistically, it was determined that hsa_circ_0078767 can enhance DOX chemoresistance through its ability to bind and sequester miR-188-3p, which otherwise negatively modulates GPX4 to enhance chemosensitivity. Accordingly, the sequestration of miR-188-3p by hsa_circ_0078767 led to the derepression and upregulation of GPX4.

Conclusion: Hsa_circ_0078767 was found to modulate miR-188-3p/GPX4 signaling to enhance OS cell resistance to DOX treatment and facilitate disease progression. As such, hsa_circ_0078767 may represent a valuable biomarker or target for use in the context of OS patient management.