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Record W2894823934 · doi:10.3389/fcimb.2018.00330

Transcriptional Profile of Mycobacterium tuberculosis in an in vitro Model of Intraocular Tuberculosis

2018· article· en· W2894823934 on OpenAlexfundno aff
Sudhanshu Abhishek, Uma Nahar Saikia, Amod Gupta, Reema Bansal, Vishali Gupta, Nirbhai Singh, Suman Laal, Indu Verma

Bibliographic record

VenueFrontiers in Cellular and Infection Microbiology · 2018
Typearticle
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsnot available
FundersFogarty International CenterYork UniversityPostgraduate Institute of Medical Education and Research, ChandigarhNYU Langone Medical Center
KeywordsMycobacterium tuberculosisTuberculosisPathogenesisBiologyMicrobiologyRetinal pigment epitheliumIntracellularImmunologyPathologyMedicineRetinaCell biology

Abstract

fetched live from OpenAlex

Intraocular tuberculosis (IOTB), an extrapulmonary manifestation of tuberculosis of eye has unique and varied clinical presentations with poorly understood pathogenesis. As, it is a significant cause of inflammation and visual morbidity particularly in TB endemic countries, it is essential to study the pathogenesis of IOTB. Clinical and histopathologic evidences studies suggest the presence of Mycobacterium tuberculosis in retinal pigment epithelium (RPE) cells. A human retinal pigment epithelium (ARPE-19) cell line was infected with a virulent strain of M. tuberculosis (H37Rv). Electron microscopy and colony forming units (CFU) assay were performed to monitor the M. tuberculosis adherence, invasion and intracellular replication whereas confocal microscopy was done to study its intracellular fate in RPE cells. To understand the pathogenesis, transcriptional profile of M. tuberculosis in ARPE-19 cells was studied by whole genome microarray. Three upregulated M. tuberculosis transcripts were also examined in human IOTB vitreous samples. Scanning electron micrographs of infected ARPE-19 cells indicated adherence of bacilli which were further observed to be internalized as monitored by transmission electron microscopy. CFU assay showed that 22.7% and 8.4% of the initial inoculum of bacilli adhered and invaded the ARPE-19 cells respectively with an increased fold CFU from 1 dpi (0.84) to 5dpi (6.58). The intracellular bacilli were co-localised with lysosomal- associated membrane protein-1 (LAMP-1) and LAMP-2 in ARPE-19 cells. The transcriptome study of intracellular bacilli showed that most of the upregulated transcripts correspond to genes encoding the proteins involved in processes like adherence (e.g. Rv1759c and Rv1026), invasion (e.g. Rv1971 and Rv0169), virulence (e.g. Rv2844 and Rv0775) and intracellular survival (e.g. Rv1884c and Rv2450c) as well as regulators of various metabolic pathways. Two of the upregulated transcripts (Rv1971, Rv1230c) were also present in the vitreous samples of the IOTB patients. M. tuberculosis is phagocytosed by RPE cells and utilizes these cells for intracellular multiplication with the involvement of late endosomal/lysosomal compartments and alters its transcriptional profile plausibly for its intracellular adaptation and survival. The findings of the present study could be important to understand the molecular pathogenesis of IOTB with a potential role in the development of diagnostics and therapeutics for IOTB.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.228
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations31
Published2018
Admission routes1
Has abstractyes

Explore more

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