Evidence map›Paper›PMID 16583135›Full record

ArticleMolecular and cellular biochemistry2006

On cell signalling mechanism of Mycobacterium leprae soluble antigen (MLSA) in Jurkat T cells.

Beenu Joshi, Sihem Khedouci, Pradeep Kumar Dagur, Aziz Hichami, Utpal Sengupta, Naim Akhtar Khan

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Article in Molecular and cellular biochemistry, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 49% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Beenu JoshiCentral JALMA Institute for Leprosy and other Mycobacterial Diseases (ICMR), Taj Ganj, Agra, U.P, 282001, India.
Sihem Khedouci
Pradeep Kumar Dagur
Aziz Hichami
Utpal Sengupta
Naim Akhtar Khan
Université de Bourgogne · FRNational JALMA Institute for Leprosy & Other Mycobacterial Diseases · INIndian Council of Medical Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigated the role of Mycobaterium leprae soluble antigen (MLSA) in the modulation of calcium signalling, phosphorylation of mitogen-activated protein (MAP) kinases and IL-2 mRNA expression in human Jurkat T cells. We observed that MLSA induced an increase in free intracellular calcium concentrations, [Ca2+]i, via opening CRAC (Ca2+-release activated- Ca2+) channels. Furthermore, MLSA failed to potentiate both thapsigargin- and anti-CD3 antibodies-induced capacitative calcium influx in Jurkat T cells. We observed that MLSA failed to affect the degree of phosphorylation of two MAP kinases, i.e., ERK1/ERK2, stimulated by anti-CD3 antibodies alone or phorbol 12-myristate 13-acetate (PMA) alone. In order to mimic co-stimulation of T cells, we stimulated them by both PMA and anti-CD3 antibodies. MLSA significantly curtailed the phosphorylation of ERK1/ERK2, stimulated by both PMA and anti-CD3 antibodies in Jurkat T cells. Also MLSA was found to reduce the transcription of IL-2 gene in PMA plus anti-CD3 antibodies-activated Jurkat T cells. Our finding demonstrates that Ca2+ influx via CRAC channels, inhibition of ERK1/ERK2 phosphorylation and IL-2 gene transcription may be implicated in immunosuppressive effects of MLSA antigen.

Indexed as

Antigens, BacterialCalciumCalcium ChannelsCalcium SignalingDown-RegulationHumansInterleukin-2Jurkat CellsLymphocyte ActivationMitogen-Activated Protein KinasesMycobacterium lepraePhosphorylationRNA, MessengerT-LymphocytesAntigens, BacterialCalciumCalcium ChannelsInterleukin-2Mitogen-Activated Protein KinasesRNA, Messenger

Identifiers

PMID16583135
OpenAlexW2015222191

What OpenQuestion holds

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Registered trials

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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.