Evidence map›Paper›PMID 32975577›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Metabolic Response in Patients With Post-treatment Lyme Disease Symptoms/Syndrome.

Bryna L Fitzgerald, Barbara Graham, Mark J Delorey, Adoracion Pegalajar-Jurado, M Nurul Islam, Gary P Wormser, John N Aucott, Alison W Rebman, Mark J Soloski, John T Belisle and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Lyme borreliosis.Nature reviews. Disease primers · 2026
    Review
  7. Article
  8. Article
  9. Insights From Omics in Lyme Disease.The Journal of infectious diseases · 2024
    Review
  10. Identification of Novel and Recurrent Variants inJournal of clinical medicine · 2024
    Article
  11. Observational
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Persistent Symptoms After Treatment of Lyme Disease.Infectious disease clinics of North America · 2022
    Review
  18. Article
  19. Article
  20. Review
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

11 authors at 4 institutions in 1 country.

Bryna L FitzgeraldCenters for Disease Control and Prevention, Fort Collins, Colorado, USA.ORCID 0000-0002-8744-5795
Barbara GrahamDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Mark J DeloreyCenters for Disease Control and Prevention, Fort Collins, Colorado, USA.
Adoracion Pegalajar-JuradoCenters for Disease Control and Prevention, Fort Collins, Colorado, USA.
M Nurul IslamDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Gary P WormserDivision of Infectious Diseases, New York Medical College, Valhalla, New York, USA.
John N AucottThe Lyme Disease Research Center, Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Lutherville, Maryland, USA.
Alison W RebmanThe Lyme Disease Research Center, Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Lutherville, Maryland, USA.
Mark J SoloskiThe Lyme Disease Research Center, Division of Rheumatology, Department of Medicine, Johns Hopkins University School of Medicine, Lutherville, Maryland, USA.
John T BelisleDepartment of Microbiology, Immunology, and Pathology, Colorado State University, Fort Collins, Colorado, USA.
Claudia R MolinsCenters for Disease Control and Prevention, Fort Collins, Colorado, USA.
Centers for Disease Control and Prevention · USColorado State University · USJohns Hopkins University · USNew York Medical College · US

Funding

Sample Processing and Immunoassay Research CoreP30AR070254 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI CLIFTON O BINGHAM, Antony Rosen · 2016 to 2026
$8.9M
Host Metabolic Biosignatures for the Diagnosis of Lyme DiseaseR01AI141656 · NIAID · COLORADO STATE UNIVERSITY · PI BELISLE, JOHN T · 2019 to 2023
$4.2M
Metabolic biomarkers and biosignatures for improved diagnosis of Lyme diseaseR33AI100228 · NIAID · COLORADO STATE UNIVERSITY · PI BELISLE, JOHN T · 2014 to 2016
$1.4M
CDC HHSNIAID NIH HHS R01 AI141656NIAID NIH HHS R33 AI100228NIAMS NIH HHS P30 AR070254
6 · The paper itself

Abstract

backgroundPost-treatment Lyme disease symptoms/syndrome (PTLDS) occurs in approximately 10% of patients with Lyme disease following antibiotic treatment. Biomarkers or specific clinical symptoms to identify patients with PTLDS do not currently exist and the PTLDS classification is based on the report of persistent, subjective symptoms for ≥6 months following antibiotic treatment for Lyme disease.

methodsUntargeted liquid chromatography-mass spectrometry metabolomics was used to determine longitudinal metabolic responses and biosignatures in PTLDS and clinically cured non-PTLDS Lyme patients. Evaluation of biosignatures included (1) defining altered classes of metabolites, (2) elastic net regularization to define metabolites that most strongly defined PTLDS and non-PTLDS patients at different time points, (3) changes in the longitudinal abundance of metabolites, and (4) linear discriminant analysis to evaluate robustness in a second patient cohort.

resultsThis study determined that observable metabolic differences exist between PTLDS and non-PTLDS patients at multiple time points. The metabolites with differential abundance included those from glycerophospholipid, bile acid, and acylcarnitine metabolism. Distinct longitudinal patterns of metabolite abundance indicated a greater metabolic variability in PTLDS versus non-PTLDS patients. Small numbers of metabolites (6 to 40) could be used to define PTLDS versus non-PTLDS patients at defined time points, and the findings were validated in a second cohort of PTLDS and non-PTLDS patients.

conclusionsThese data provide evidence that an objective metabolite-based measurement can distinguish patients with PTLDS and help understand the underlying biochemistry of PTLDS.

Indexed as

Lyme DiseasePost-Lyme Disease SyndromeAnti-Bacterial AgentsChromatography, LiquidCohort StudiesHumansAnti-Bacterial AgentsBorrelia burgdorferiLyme diseasemetabolomicsPTLDS

Identifiers

PMID32975577
PMCPMC8492154
OpenAlexW3089127751

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.