Article3 Biotech2017
Comparative lipidomics of drug sensitive and resistant
Article in 3 Biotech, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed, 33 citations in OpenAlex.
- Mapping of Lipidome Profile in Drug-Resistant Clinical Isolates ofLife (Basel, Switzerland) · 2026Article
- The lipid language of tuberculosis:mBio · 2026Review
- Untargeted and Targeted Liquid Chromatography-Mass Spectrometry-Based Lipidomic Profiling Revealed a Potential Biomarker Panel to Distinguish Clinical Isolates of M. tuberculosis From Nontuberculous M. kansasii.Pulmonary medicine · 2026Article
- Mycobacterium tuberculosis curli pili facilitates pathogenicity by modulating central carbon metabolism.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Derivatives of Pyrimidine Nucleosides Affect Artificial Membranes Enriched with Mycobacterial Lipids.Pharmaceutics · 2024Article
- Exposure ofFrontiers in tuberculosis · 2024Article
- Bacterial lipid biophysics and membrane organization.Current opinion in microbiology · 2023Review
- Metabolomic analysis of Mycobacterium tuberculosis reveals metabolic profiles for identification of drug-resistant tuberculosis.Scientific reports · 2023Article
- Biomarker discovery for tuberculosis using metabolomics.Frontiers in molecular biosciences · 2023Review
- Drug-resistant strains ofFrontiers in cellular and infection microbiology · 2023Review
- Trends and challenges of multi-drug resistance in childhood tuberculosis.Frontiers in cellular and infection microbiology · 2023Review
- Modulatory Impact of the sRNA Mcr11 in Two Clinical Isolates of Mycobacterium tuberculosis.Current microbiology · 2022Article
- Host lipidome and tuberculosis treatment failure.The European respiratory journal · 2022Article
- Using Omics to Study Leprosy, Tuberculosis, and Other Mycobacterial Diseases.Frontiers in cellular and infection microbiology · 2022Review
- Lipid droplets and the transcriptome of Mycobacterium tuberculosis from direct sputa: a literature review.Lipids in health and disease · 2021Review
- Early phase of effective treatment induces distinct transcriptional changes in Mycobacterium tuberculosis expelled by pulmonary tuberculosis patients.Scientific reports · 2021Article
- Usnic Acid Treatment Changes the Composition of Mycobacterium tuberculosis Cell Envelope and Alters Bacterial Redox Status.mSystems · 2021Article
- Evolution of Drug-ResistantFrontiers in microbiology · 2021Review
- Untargeted Lipidomics Analysis of the CyanobacteriumInternational journal of molecular sciences · 2020Article
- Immunometabolism during Mycobacterium tuberculosis Infection.Trends in microbiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lipids are most adaptable molecules that acclimatize to the development of multidrug resistance (MDR). The precise molecular mechanism of this acclimatization achieved in
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.