Evidence map›Paper›PMID 37130982›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2023

Integrated clinical and metabolomic analysis of dengue infection shows molecular signatures associated with host-pathogen interaction in different phases of the disease.

Sriram Rathnakumar, Naga Sai Visweswar Kambhampati, R Saiswaroop, Sai Sanwid Pradhan, G Ramkumar, Nirmala Beeraka, Gopi Krishna Muddu, Sandeep Kumar, Sai Kiran Javvaji, Ashish Parangoankar and 2 more

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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

12 authors at 4 institutions in 1 country.

Sriram RathnakumarDisease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Puttaparthi, Andhra Pradesh, 515134, India.ORCID https://orcid.org/0000-0002-7656-4027
Naga Sai Visweswar KambhampatiSTAR Laboratory, Central Research Instruments Facility, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Puttaparthi, Andhra Pradesh, 515134, India.ORCID https://orcid.org/0000-0002-4229-6052
R SaiswaroopDisease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Puttaparthi, Andhra Pradesh, 515134, India.ORCID https://orcid.org/0000-0001-7163-5263
Sai Sanwid PradhanDisease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Puttaparthi, Andhra Pradesh, 515134, India.ORCID https://orcid.org/0000-0002-5461-8047
G RamkumarDepartment of General Medicine, Sri Sathya Sai General Hospital, Sri Sathya Sai Institute of Higher Medical Sciences Campus, Whitefield, Bengaluru, Karnataka, 560066, India.
Nirmala BeerakaDepartment of General Medicine, Sri Sathya Sai General Hospital, Sri Sathya Sai Institute of Higher Medical Sciences Campus, Whitefield, Bengaluru, Karnataka, 560066, India.
Gopi Krishna MudduDepartment of Pediatrics, Sri Sathya Sai General Hospital, Puttaparthi, Andhra Pradesh, 515134, India.
Sandeep KumarDepartment of General Medicine, Sri Sathya Sai General Hospital, Puttaparthi, Andhra Pradesh, 515134, India.
Sai Kiran JavvajiDepartment of Laboratory Medicine and Cardiology, Sri Sathya Sai Institute of Higher Medical Sciences, Whitefield, Bengaluru, Karnataka, 560066, India.
Ashish ParangoankarApplication Division, Agilent Technologies Ltd, Bengaluru, India.
Venketesh SivaramakrishnanDisease Biology Lab, Department of Biosciences, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Puttaparthi, Andhra Pradesh, 515134, India. s.venketesh@gmail.com.ORCID https://orcid.org/0000-0003-3094-5905
Sai Sathish RamamurthySTAR Laboratory, Central Research Instruments Facility, Sri Sathya Sai Institute of Higher Learning, Prasanthi Nilayam, Puttaparthi, Andhra Pradesh, 515134, India. rsaisathish@sssihl.edu.in.ORCID https://orcid.org/0000-0001-9957-9259
Sri Sathya Sai Institute of Higher Learning · INSri Sathya Sai Institute of Higher Medical Sciences · INSri Sathya Sai Institute of Higher Medical Sciences · INAgilent Technologies (India) · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDengue is a mosquito vector-borne disease caused by the dengue virus, which affects 125 million people globally. The disease causes considerable morbidity. The disease, based on symptoms, is classified into three characteristic phases, which can further lead to complications in the second phase. Molecular signatures that are associated with the three phases have not been well characterized. We performed an integrated clinical and metabolomic analysis of our patient cohort and compared it with omics data from the literature to identify signatures unique to the different phases.

methodsThe dengue patients are recruited by clinicians after standard-of-care diagnostic tests and evaluation of symptoms. Blood from the patients was collected. NS1 antigen, IgM, IgG antibodies, and cytokines in serum were analyzed using ELISA. Targeted metabolomics was performed using LC-MS triple quad. The results were compared with analyzed transcriptomic data from the GEO database and metabolomic data sets from the literature.

resultsThe dengue patients displayed characteristic features of the disease, including elevated NS1 levels. TNF-α was found to be elevated in all three phases compared to healthy controls. The metabolic pathways were found to be deregulated compared to healthy controls only in phases I and II of dengue patients. The pathways represent viral replication and host response mediated pathways. The major pathways include nucleotide metabolism of various amino acids and fatty acids, biotin, etc.

conclusionThe results show elevated TNF-α and metabolites that are characteristic of viral infection and host response. IL10 and IFN-γ were not significant, consistent with the absence of any complications.

Indexed as

DengueDengue VirusAnimalsHost-Pathogen InteractionsHumansMetabolomicsTumor Necrosis Factor-alphaTumor Necrosis Factor-alphaBiomarkersClinical analysisDengue feverHost-pathogen interactionMetabolomicsMolecular signaturesTranscriptomics

Identifiers

PMID37130982
OpenAlexW4367672891

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.