Medicine in Omics最新文献

{"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":"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":"2024-07-23","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":"Systems medicine framework for repurposable drug combinations for COVID-19 comorbidities","authors":"S. Saranya,&nbsp;L. Thamanna,&nbsp;P. Chellapandi","doi":"10.1016/j.meomic.2024.100038","DOIUrl":"10.1016/j.meomic.2024.100038","url":null,"abstract":"<div><p>Currently, vaccines have shown efficacy against new SARS-CoV-2 variants. This study aimed to develop a systems medicine framework that can predict and validate drug combinations that can be repurposed for treating COVID-19 and its comorbidities, specifically type 2 diabetes and hypertension. This study found that gut microbes could potentially influence the action of drugs, innate immune response, intestinal dysfunction, and susceptibility to the virus in individuals with these comorbidities. It was also discovered that the spike protein of the virus interacts with 57 human genes, many of which are linked to food-borne bacteria. An analysis of disease enrichment showed that arthritis and hypertension were frequently observed as comorbidities in patients infected with SARS-CoV-2. Several drugs, including Fluvoxamine, Donepezil, and Ifenprodil, have been identified as potentially repurposable drugs for treating COVID-19 in individuals with hypertension. Moreover, nitazoxanide and tocilizumab (antivirals), bacitracin (antibacterial), and gliclazide (antidiabetics) were also identified as potential repurposable drugs. Tocilizumab and gliclazide are effective drug combinations for treating COVID-19 in individuals with type 2 diabetes. A combination of tocilizumab and lidocaine has also been suggested for treating COVID-19 in individuals infected with food-borne bacteria.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"11 ","pages":"Article 100038"},"PeriodicalIF":0.0,"publicationDate":"2024-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124924000075/pdfft?md5=c548377f45b6d4562ed5e05c6f4c1cc5&pid=1-s2.0-S2590124924000075-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141142783","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 omics technologies and liquid biopsies: Advantages, limitations, applications","authors":"Daniele Magro,&nbsp;Marika Venezia,&nbsp;Carmela Rita Balistreri","doi":"10.1016/j.meomic.2024.100039","DOIUrl":"10.1016/j.meomic.2024.100039","url":null,"abstract":"<div><p>In the recent years, the development of so-called omics technologies has greatly contributed to the discovery of new biomarkers and targets, spanning different areas from diagnosis to therapy, and helping to accelerate the progress of precision and personalized medicine. In addition to classic omics, including genomics, transcriptomics, proteomics, and metabolomics, newer-generation omics technologies and related platforms, such as microbiomics and nutrigenomics, are emerging. At the same time, the use of liquid biopsies is becoming established as optimal biological samples, consisting in biological fluids (i.e. blood, saliva, and urine), that are easy to collect, and whose components (cells, nucleic acids, exosome) can be analysed using throughput techniques. In addition, it is becoming attractive, because it consents the extrapolation of big data via multi-omics technologies. Here, we report a brief description and discussion of such technologies, highlighting applications and possible limitations.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"11 ","pages":"Article 100039"},"PeriodicalIF":0.0,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124924000087/pdfft?md5=f30f9d627c62fdbe645f3283504dd6d2&pid=1-s2.0-S2590124924000087-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141135404","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":"2024-05-01","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":"Designing of multi-Epitope vaccine against spike glycoprotein of SARS-CoV-2 using immunoinformatics approach","authors":"Deepak Kumar Jha ,&nbsp;Niti Yashvardhini ,&nbsp;Amit Kumar ,&nbsp;Manjush Gaurav ,&nbsp;Kumar Sayrav","doi":"10.1016/j.meomic.2024.100036","DOIUrl":"10.1016/j.meomic.2024.100036","url":null,"abstract":"<div><h3>Background</h3><p>COVID-19 caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome) has created an alarming situation worldwide. The surface (S) glycoprotein of novel coronavirus, encoded by the genome of SARS-CoV-2, plays an role in attachment, fusion as well as entry into the host cell. The spike glycoprotein plays vital role in not only infection but pathogenesis and adaptive immunity, and, therefore, the S glycoprotein is considered as the main target for the development of effective and durable vaccine against SARS-CoV-2. Present study aims to compare the SARS-CoV-2 spike sequence obtained from first Wuhan virus with those of Asian SARS-CoV-2 isolates.</p></div><div><h3>Result</h3><p>A total of 1165 mutations from 657 sequences of Asia submitted in the month of November 2020 to February 2021 were detected. Further, secondary structure prediction followed by protein modeling analysis was performed which revealed, these mutations, considerably altered the stability of Spike protein. Additionally, Physiochemical properties, toxicity, allergenicity and stability of spike glycoprotein were estimated to demonstrate the specificity of the epitope candidates. Subsequently, we identified a total of 34B-cell and 10 T-cell immune epitopes. Among the predicted epitopes, 26 B-cell and 9T-cell epitopes showed non-allergenic, non-toxic and highly antigenic properties.</p></div><div><h3>Conclusion</h3><p>Taken together, our study showed spike glycoprotein of SARS-CoV-2 can be a potentially good candidate for the development of vaccine to curb SARS-CoV-2 infections.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"11 ","pages":"Article 100036"},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124924000051/pdfft?md5=789563bd81cf8146de57a8c567f2aead&pid=1-s2.0-S2590124924000051-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140763248","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":"2024-02-02","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":"Immunological storm and multiple organ damage by COVID-19","authors":"A. Yaser Arafath ,&nbsp;S. Aifa Fathima ,&nbsp;Anushara Prabhakaran ,&nbsp;Saqib Hassan ,&nbsp;Ragothaman Prathiviraj ,&nbsp;George Seghal Kiran ,&nbsp;Joseph Selvin","doi":"10.1016/j.meomic.2024.100034","DOIUrl":"10.1016/j.meomic.2024.100034","url":null,"abstract":"<div><p>The official recording outbreak COVID-19 virus was in Dec 2019. When it affects humans, it affects almost all age groups, especially aged people. COVID-19 becomes a Global pandemic within a short period. The primary consequence of this infection is that it targets the individual's respiratory system and causes severe acute respiratory syndrome (SARS-CoV-2). Research efforts were made internationally to find a proper vaccine. Here, with the mechanism of action, this review provides the infection mechanism, Immunological changes, and associated organ damage.</p></div>","PeriodicalId":100914,"journal":{"name":"Medicine in Omics","volume":"11 ","pages":"Article 100034"},"PeriodicalIF":0.0,"publicationDate":"2024-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2590124924000038/pdfft?md5=0c89c281ca2a2de2fa36c1ddf2040e2d&pid=1-s2.0-S2590124924000038-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139639112","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":"2024-01-13","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}