Medicine in Omics最新文献

{"title":"Analysis of zebrafish homologs within the human genome provides valuable insights into exploring pan-cancer alternative splicing events as prognostic markers and therapeutic targets","authors":"Yanjun Liang ,&nbsp;Xiao Zhu","doi":"10.1016/j.meomic.2025.100046","DOIUrl":"10.1016/j.meomic.2025.100046","url":null,"abstract":"<div><div>Alternative splicing (AS) is pivotal in gene expression regulation and protein diversity generation. Suppression of aberrant AS holds promise in cancer management. Utilizing zebrafish-human homologous genes, we investigated AS events across 33 tumor types from TCGA, employing Cox regression analyses to identify prognostic AS events. A risk-scoring model distinguished high and low-risk groups, revealing differences in survival, tumor microenvironment, and immune cell infiltration. Notably, Complement C1q C Chain (C1QC), DENND5A, HP, IRF5, and LRP1 were associated with poor prognosis and immune infiltration. Mendelian randomization confirmed the protective role of C1QC across cancers, further supported by Bayesian Weighted Mendelian Randomization. Leveraging zebrafish homologs enhances our understanding of AS mechanisms and potential therapeutic targets in cancer biology.</div></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"14 ","pages":"Article 100046"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144680574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neuroprotective effects of Persea americana and Tabebuia rosea ethanolic extracts against aluminum chloride-induced Alzheimer’s disease in rat model","authors":"Olayinka Fisayo Onifade ,&nbsp;Oluwasayo Peter Abodunrin ,&nbsp;Esther Omolara Oyeneye ,&nbsp;Ebubechukwu Goodness Chigozie ,&nbsp;Abdusalam Gbemisola Arafa ,&nbsp;Benjamen Olujide Okunlola","doi":"10.1016/j.meomic.2025.100044","DOIUrl":"10.1016/j.meomic.2025.100044","url":null,"abstract":"<div><div>Alzheimer’s disease (AD) is a neurodegenerative disorder responsible for 70–80 % of dementia cases. Aluminum, a neurotoxicant, accelerates AD progression through oxidative stress and neuroinflammation. Many phytochemicals have shown promise as alternative AD therapies. This study investigated the therapeutic effects of <em>Persea americana</em> (PA) and <em>Tabebuia rosea</em> (TR) ethanolic leaf extracts in aluminum chloride (AlCl₃)-induced AD in male rats. GC–MS analysis identified phytocompounds in the extracts. Forty-two male rats (70–100 g) were divided into six groups: control, AlCl₃-only, TR-treated, PA-treated, combined extracts, and donepezil-treated (standard AD drug) groups. Biochemical and histopathological analyses were conducted on brain tissues. <em>In silico</em> analysis docked Beta-secretase (BACE1) against Elenbecestat and extracted phytochemicals. AlCl₃ exposure significantly increased acetylcholinesterase (AChE) activity and malondialdehyde (MDA) levels while reducing glutathione (GSH) levels, with notable brain histopathology. PA and TR treatment reversed these effects, lowering AChE and MDA levels while increasing GSH. <em>In silico</em> analysis revealed that ethyl (9E,12E)-octadeca-9,12-dienoate and 9-octadecenoic acid, ethyl ester, exhibited superior docking scores and binding energies compared to Elenbecestat. These findings suggest PA and TR extracts as potential alternative treatments for AD.</div></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"14 ","pages":"Article 100044"},"PeriodicalIF":0.0,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144535115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Omics-based evaluation of m6A modification patterns in uveal melanoma and their prognostic implications","authors":"Xiaohui Shi ,&nbsp;Xiao Zhu ,&nbsp;Dongpei Li","doi":"10.1016/j.meomic.2025.100041","DOIUrl":"10.1016/j.meomic.2025.100041","url":null,"abstract":"<div><h3>Background</h3><div>Epigenetic reprogramming plays a crucial role in the progression of uveal melanoma (UM). RNA methylation constitutes more than 60% of all RNA modifications, with N6-methyladenosine (m6A) being the most prevalent RNA modification in higher organisms. This study aimed to investigate the construction of the m6A regulatory factor modification model and its assessment of UM clinical prognosis.</div></div><div><h3>Methods</h3><div>The expression levels of 23 m6A regulators in The Cancer Genome Atlas (TCGA) were analyzed, and the survival rate was assessed based on TCGA clinicopathological data. Consistent cluster analysis was performed to evaluate different m6A scores in tumor mutation burden (TMB) and to predict the correlation between m6A scores and UM prognosis.</div></div><div><h3>Results</h3><div>Various expression patterns of m6A regulators were observed in UM tumors, and multiple m6A genes were found to be correlated with prognosis. Through consistent cluster analysis, three distinct m6A modification patterns were identified. The overlapping differentially expressed genes (DEGs) among the three m6A clusters were screened, leading to the establishment of three different subgroups. Among these subgroups, cluster B exhibited the most favorable prognosis. Based on the m6A score derived from DEGs, UM patients could be categorized into high-scoring subgroup and low-scoring subgroup subgroups. Importantly, patients with higher m6A scores demonstrated prolonged survival and improved clinical characteristics. Furthermore, the study established an association between the m6A score and TMB, suggesting that the m6A score may serve as a potential prognostic predictor for UM patients.</div></div><div><h3>Conclusion</h3><div>We conducted a screening of DEGs from the m6A cluster and categorized them into three distinct clusters for analysis of m6A scores. Subsequently, we developed a highly predictive model with prognostic value. This study will contribute to our understanding of the overall impact of m6A modification patterns on the progression of UM.</div></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"13 ","pages":"Article 100041"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144169424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncovering prognostic markers and therapeutic targets in acute myeloid leukemia: Insights from differential gene expression and Mendelian randomization analysis","authors":"Yaqi Huang ,&nbsp;Xiao Zhu ,&nbsp;Dongpei Li","doi":"10.1016/j.meomic.2025.100042","DOIUrl":"10.1016/j.meomic.2025.100042","url":null,"abstract":"<div><div>The development and prognosis of acute myeloid leukemia (AML) are influenced by multiple factors. This study utilized bioinformatics analysis to explore differentially expressed genes (DEGs) in acute myeloid leukemia (AML) and non-tumor tissues, evaluating their prognostic significance. Target gene data from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases were extracted for analysis. Over 100 DEGs were identified, with MIR9-1 exhibiting downregulated expression in AML. Survival analysis revealed significant differences in overall survival rates between subgroups, with Cluster 2 showing better outcomes. Notable DEGs, including DEFA1B, FLT3LG, CUX1, and ZMYM2, were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis highlighted relevant signaling pathways. Mendelian Randomization (MR) analysis unveiled a negative correlation between the “transcriptional misregulation in cancer pathway” and “hypermethylation of CpG island pathway” with AML. Sensitivity analysis demonstrated no heterogeneity or pleiotropy. Bayesian Weighted Mendelian Randomization (BWMR) validated MR results. Overall, this study identified potential therapeutic targets like FLT3LG, elucidated key genes for AML prognosis, and revealed protective roles of pathways through comprehensive bioinformatics analysis and Mendelian randomization.</div></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"13 ","pages":"Article 100042"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144184894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An integrated network pharmacology and molecular modelling study of phytoconstituents targeting Alzheimer's disease","authors":"Saumya Khanna,&nbsp;Divakar Selvaraj,&nbsp;Mehak Tyagi,&nbsp;Devadharshini,&nbsp;Saravanan Jayaram","doi":"10.1016/j.meomic.2023.100031","DOIUrl":"10.1016/j.meomic.2023.100031","url":null,"abstract":"<div><p>The present study involves the use of combined network pharmacology and molecular modelling approach for identifying important phytoconstituents that could modulate the functions of multiple therapeutic targets in Alzheimer’s disease. A list of botanicals reported in the literature for their efficacy in Alzheimer’s disease, the phytochemicals present in the botanicals were identified with the help of network pharmacology approach. The pharmacokinetic properties like blood brain barrier penetration and Lipinski’s rule of five for the selected phytoconstituents were analyzed. The major targets involved in the pathogenesis of Alzheimer’s disease were collected from the DisGeNET database. The selected proteins were subjected to topological analysis using Cytoscape software to identify the important targets in the network. The top 7 phytoconstituents and 5 proteins were subjected to molecular docking, MM-GBSA and molecular dynamics studies. A total of 15 plants and 1443 phytoconstituents were identified through a literature survey and from several databases. The pharmacokinetics study revealed that 7 phytoconstituents - glycyrrhisoflavone, eugenol, ferulic acid, methyl jasmonate, geranyl formate, formononetin, and elemicin- exhibited favourable pharmacokinetic properties. Five targets, HMOX1, CNR1, STAT3, HDAC2, and MAOB were found to be important in the network of 3300 proteins based on degree centrality and betweenness centrality. Among the seven phytoconstituents, glycyrrhisoflavone exhibited good dock scores and free energy value. Based on this, the stability of glycyrrhisoflavone with the five selected targets were analyzed using molecular dynamics study. Glycyrrhisoflavone showed good stability with most of the selected therapeutic targets. The current study reveals that the selected phytoconstituents i.e glycyrrhisoflavone, eugenol, ferulic acid, methyl jasmonate, geranyl formate, formononetin, and elemicin could serve as good lead molecules in treatment and management of Alzheimer’s disease through modulation of multiple targets.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"12 ","pages":"Article 100031"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124923000123/pdfft?md5=b4cdff257164ce9133a94cc20e16a137&pid=1-s2.0-S2590124923000123-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139018973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early-stage biomarkers identification by integrated genomic analysis in hepatocellular carcinoma","authors":"","doi":"10.1016/j.meomic.2024.100037","DOIUrl":"10.1016/j.meomic.2024.100037","url":null,"abstract":"<div><p>Hepatocellular carcinoma (HCC), a type of liver cancer, ranks as the third-leading cause of death due to the lack of definite biomarkers for early-stage detection. HCC progression occurs by the dysregulation of several genes. Though several studies focus on biomarkers for HCC diagnosis, stage-specific marker identification remains elusive. Hence, the present study aims to identify early-stage biomarkers for the detection of HCC through integrated <em>in silico</em> analysis. The differential gene expression was performed using GEO2R for the datasets (GSE14520, GSE63898, GSE121248, GSE124535, GSE94660, and GSE6764) retrieved from Gene Expression Omnibus (GEO) of patients with cirrhotic liver or HCC. The common differentially expressed gene enrichment analysis was performed using Funrich for Gene ontology (GO) and Kyoto Encyclopedia of Gene and Genomics (KEGG) gene mapping. The Protein-Protein Interaction (PPI) network was performed using the Search Tool for the Retrieval of Interacting Genes (STRING). The hub genes were identified using the CytoHubba plug-in of Cytoscape software. The identified genes were verified for their prognostic value using the Kaplan-Meier plotter and Immunohistochemistry micrographs obtained from the Human Protein Atlas database. An overall of 243 common differentially expressed genes (DEGs) were identified containing 171 upregulated and 72 downregulated genes. With the help of PPI network construction, ten hub genes were identified as <em>CDK1</em>, <em>AURKA</em>, <em>CCNB1</em>, <em>CCNB2</em>, <em>CENPF</em>, <em>CDC20</em>, <em>TOP2A</em>, <em>BUB1</em>, <em>RRM2</em>, and <em>HMMR,</em> which are dysregulated owing to HCC proliferation, tumorigenesis and poor prognosis in patients. These hub genes are suitable waypoints for the diagnosis and targeted therapy against early-stage HCC.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"12 ","pages":"Article 100037"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124924000063/pdfft?md5=dd5f1eb29f5d713a6e648566cc4c6a5f&pid=1-s2.0-S2590124924000063-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141033788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Functional prediction and assignment of Clostridium botulinum type A1 operome: A quest for prioritizing drug targets","authors":"B. Roja,&nbsp;S. Saranya,&nbsp;R. Prathiviraj,&nbsp;P. Chellapandi","doi":"10.1016/j.meomic.2024.100040","DOIUrl":"10.1016/j.meomic.2024.100040","url":null,"abstract":"<div><p><em>Clostridium botulinum</em> strain Hall produces potent botulinum neurotoxin type A1, which causes food-borne, infant, and wound botulism in humans. Antibiotics and botulinum antitoxins can control growth and prevent botulinum toxicity. However, limited information on a protein with an unknown function hinders the discovery of new drug targets for this disease. In this study, a combined bioinformatics approach with literature support was applied to predict, assign, and validate operome functions. Our functional annotation scheme was based on sequence motifs, conserved domains, structures, protein folds, and evolutionary relationships. Approximately 14.62 % of the operome exhibited sequence similarity to known proteins, with 6.65 % predicted functions for 293 proteins, including 121 proteins exclusive to <em>C. botulinum</em>. Structural analysis revealed a significant presence of the Rossmann fold (26 %) and miscellaneous folds (43 %) among the operome. Transporters (&gt;85) and transcriptional regulators (&gt;45) were prevalent, underscoring their importance in <em>C. botulinum</em> adaptive strategies. The newly identified operome contributed to the diverse cellular and metabolic processes of this organism. The function of its operome was involved in amino acid metabolism and botulinum neurotoxin biosynthesis. In this study, we identified and characterized 13 new virulence proteins from the operome to determine their structure–function relationships. These new metabolic and virulence proteins allow the organism to colonize and interact with the human gastrointestinal tract. This study provides a quest for new drugs and targets for treating the underlying diseases of <em>C. botulinum</em> in humans.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"12 ","pages":"Article 100040"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124924000099/pdfft?md5=3b712395b442155b1c8d4d1c892889a7&pid=1-s2.0-S2590124924000099-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141843471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential expression of nickel nanoparticles of Lactobacillus plantarum on VDR/LncRNA EIF3J-DT in Colorectal cancer","authors":"","doi":"10.1016/j.meomic.2024.100032","DOIUrl":"10.1016/j.meomic.2024.100032","url":null,"abstract":"<div><p>Colorectal cancer (CRC) is the third most prevalent cancer worldwide. Vitamin D receptor (VDR) gene mutations and Vitamin D deficiency contribute to CRC development and progression. Certain long non-coding RNAs (lncRNAs) directly inhibit VDR gene transcription, leading to VDR mutation. Thus, targeting oncogenic lncRNAs and VDR expression is a promising strategy for effective cancer treatment. Here, we green-synthesized <em>Lactobacillus plantarum</em> loaded nickel oxide nanoparticles (LpNiONPs) to assess their anticancer potential in CRC by targeting long non-coding RNA EIF3J- divergent transcript (lncRNA EIF3J-DT) and VDR. The potent bioactive component present in <em>L. plantarum</em> was identified via gas chromatography-mass spectrometry (GC–MS) analysis, and its interaction with VDR, as well as the functional interaction with lncRNA EIF3J-DT, were evaluated using the PyRx program and RPISeq-software, respectively. The LpNiONPs were characterized using UV–Vis spectroscopy, Zeta Potential, dynamic light scattering (DLS), fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy dispersive X-ray (EDX) and X-ray diffraction (XRD) techniques. The anticancer potential of LpNiONPs against HT-29 cells was assessed through 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay, scratch assay, 4′,6-diamidino-2-phenylindole (DAPI)/ acridine orange-ethidium bromide (AO-EtBr) staining experiments, and reverse transcriptase-PCR to evaluate the expression of lncRNA EIF3J-DT/VDR and apoptotic-related genes. The potent bioactive compound Pyrrolo (1,2-a) pyrazine-1,4-dione in <em>L. plantarum</em> strongly interacts with VDR, highlighting its drug design potential. The formation of LpNiONPs was confirmed via UV–Vis spectroscopy with an absorption peak at 394 nm. LpNiONPs were positively charged, monodispersed, and stable square-shaped nanoparticles. LpNiONPs show dose-dependent cytotoxicity and induced apoptosis, confirmed by staining images in HT-29 cells. Moreover, LpNiONPs downregulated lncRNA EIF3J-DT, CYP24-A1 and BCL2 genes while upregulating VDR, cas-3, cas-9 and BAX in HT-29 cells. These findings suggest that LpNiONPs exhibit anticancer activity by promoting VDR-associated apoptosis by inhibiting lncRNA EIF3J-DT in CRC cells.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"12 ","pages":"Article 100032"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124924000014/pdfft?md5=de8b44eec910b4b98c932f9d9ae122af&pid=1-s2.0-S2590124924000014-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139874261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Roasted cashew nut supplement inhibits MCP-1 and inflammatory mediators to correct hypertension related liver failure induced by mixed-fractionated petroleum products via NOS-cAMP-PKA signaling pathway in male rats","authors":"","doi":"10.1016/j.meomic.2023.100030","DOIUrl":"10.1016/j.meomic.2023.100030","url":null,"abstract":"<div><p>People who expose to mixture of crude oil products had been reported to show several diseased-symptoms including hypertension, liver failure and chronic complications. The drugs for treating multiple-complex diseases are scarcely available. Cashew nut snack is known to check multiple diseases and easily accessible by indigenous-patients with no lethal-effects. Here, we examined the corrective-measures of roasted-cashew-nut (RCN) against hypertension co-morbidity with liver-failure in male rats on exposure to mixture of fractionated-petroleum-products (MFPP). Seventy (70) male-albino-rats (n = 10) were randomly exposed to MFPP for 14 days. Group 1: control rats were given basal-diet. Group 2 was given basal diet + 0.2 ml/day-MFPP. Group 3 was given 0.2 ml/day-MFPP + 50 mg/kg Atenolol. Group 4 was given 0.2 ml/day-MFPP + 10 % RCN. Group 5 was given 0.2 ml/day-MFPP + 20 % RCN. Group 6 was given 10 % RCN_. Group 7 was given 20 % RCN. We found that high activities of liver-arginase, MAO-A, AChE, ADA, PDE-5¹ and ATP-hydrolytic-enzymes with low-bioavailability of NO-level on exposure to MFPP implicated liver-failure and hypertension. Also, up-regulation of HIF-1, p53, TNF-α, and MCP-1 with reduced-level of 1L-10 were connected to liver-failure and hypertension. However, post-treatment with 10 % RCN and 20 % RCN for 14-days corrected liver-failure and hypertension by inhibiting liver-arginase, MAO-A, AChE, ADA, PDE-5¹ and ATP-hydrolytic-enzymes. Also, liver-failure characterized by vascular-congestion and sinusoidal-dilation on exposure to 0.2 ml/day-MFPP was reversed by 10 % RCN and 20 % RCN via down-regulation of liver HIF-1, p53, TNF-α, MCP-1 with increased 1L-10. We conclude that 10 % RCN and 20 % RCN may be an innovative-snacks against hepatocellular damage co-morbidity with hypertension.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"12 ","pages":"Article 100030"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124923000111/pdfft?md5=0149f23ad6c9a902d3efb155b11fdefe&pid=1-s2.0-S2590124923000111-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The integration of omics: A promising approach to personalized tuberculosis treatment","authors":"","doi":"10.1016/j.meomic.2024.100033","DOIUrl":"10.1016/j.meomic.2024.100033","url":null,"abstract":"<div><p>Tuberculosis (TB) continues to be a global health problem due to its high morbidity and death rates. Standardized regimens have been used in traditional TB treatment methods, frequently leading to less-than-ideal results and the establishment of drug-resistant strains. The development of personalized medicine provides a potentially effective remedy to individual patients' by adjusting therapeutic approaches to particular genotypic and phenotypic traits. Detecting TB strains, drug resistance indicators, and host genetic variants that affect treatment results is made possible by genomic and molecular diagnostic approaches. These developments offer helpful information for predicting therapy outcomes and choosing the best treatment plan for each individual.</p><p>Integrating phenotypic data, such as clinical characteristics, immunological state, and comorbidities, improves diagnostic and treatment decision-making accuracy. The use of targeted drug therapies, such as innovative anti-TB medicines and repurposed medications, which have the potential to overcome drug resistance and boost treatment effectiveness, can be guided by personalized therapy. Personalized interventions based on genetic and phenotypic factors can improve patient outcomes by identifying those at risk of treatment failure or disease progression. This article discusses the importance of personalized therapy for TB patients. It specifically highlights the benefits of using “omics” data to enhance therapeutic results and decrease the risk of drug resistance.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"12 ","pages":"Article 100033"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124924000026/pdfft?md5=f9154df8ec391a91cdbae2ebca0ed387&pid=1-s2.0-S2590124924000026-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139540750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}