Evidence map›Paper›PMID 35289311›Full record

ArticleThe Journal of clinical investigation2022

Use of host lipids by the Lyme disease spirochete may lead to biomarkers.

Gunjan Arora, Thomas Hart, Erol Fikrig

Open access · goldAbstract readComment
In one paragraph

Article in The Journal of clinical investigation, 2022. 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
0.9field-weighted citation impact, top 33% 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, 5 citations in OpenAlex.

  1. Article
  2. Cholesterol Contributes to Risk, Severity, and Machine Learning-Driven Diagnosis of Lyme Disease.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  3. Review
  4. Cell lipid biology in infections: an overview.Frontiers in cellular and infection microbiology · 2023
    Review
  5. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Gunjan Arora
Thomas Hart
Erol Fikrig
Yale University · US

Funding

Tick Resources CoreP01AI138949 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI Erol Fikrig, UTPAL PAL · 2018 to 2026
$13.5M
IMMUNOHEMATOLOGY/TRANSFUSION MEDICINE RESEARCH TRAININGT32HL007974 · NHLBI · YALE UNIVERSITY · PI JEANNE E HENDRICKSON, Diane S Krause · 2001 to 2026
$8.1M
The role of tick gut microbiota in Borrelia burgdorferi transmission to miceR01AI126033 · NIAID · YALE UNIVERSITY · PI FIKRIG, EROL, NARASIMHAN, SUKANYA · 2017 to 2020
$1.7M
NHLBI NIH HHS T32 HL007974NIAID NIH HHS P01 AI138949NIAID NIH HHS R01 AI126033
6 · The paper itself

Abstract

Lyme disease is the most common tick-borne disease in North America and Europe, however, current biomarkers inconsistently detect the disease. In this issue of the JCI, Gwynne et al. revealed how the Lyme disease agent Borrelia burgdorferi relies on host lipids for growth. The authors used a murine model to show that B. burgdorferi infection led to the production of antibodies against phospholipids, possibly as a consequence of incorporation into the spirochete membrane. Antibodies were induced against phosphatidic acid, phosphatidylcholine, and phosphatidylserine. Notably, no antibodies against cardiolipin were found, distinguishing Lyme disease from syphilis and some other diseases. Sera samples from patients with Lyme disease suggested that these antibodies may help diagnose B. burgdorferi infection and that antibody titers may effectively indicate the response to treatment. These findings suggest that B. burgdorferi-induced anti-lipid antibodies, in conjunction with a careful clinical assessment, may aid in the diagnosis of Lyme disease.

Indexed as

Borrelia burgdorferiLyme DiseaseAnimalsBiomarkersEuropeHumansLipidsMiceBiomarkersLipids

Identifiers

PMID35289311
PMCPMC8920323
OpenAlexW4220786025

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.