Journal of Translational Autoimmunity

Scope & Guideline

Fostering innovation in the realm of autoimmunity.

Introduction

Delve into the academic richness of Journal of Translational Autoimmunity with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN2589-9090
PublisherELSEVIER
Support Open AccessYes
CountryNetherlands
TypeJournal
Convergefrom 2019 to 2024
AbbreviationJ TRANSL AUTOIMMUN / J. Transl. Autoimmun.
Frequency1 issue/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressRADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS

Aims and Scopes

The Journal of Translational Autoimmunity aims to bridge the gap between basic research and clinical applications in the field of autoimmunity. It focuses on the mechanisms underlying autoimmune diseases, their diagnosis, treatment, and potential therapeutic interventions.
  1. Mechanisms of Autoimmunity:
    Research that investigates the fundamental biological mechanisms and pathways that lead to autoimmune responses, including genetic, epigenetic, and environmental factors.
  2. Clinical Applications and Therapeutics:
    Studies that explore innovative therapeutic strategies, including drug development, immunotherapies, and novel treatment protocols for various autoimmune diseases.
  3. Biomarkers and Diagnostic Tools:
    Research aimed at identifying and validating biomarkers for early diagnosis, disease progression monitoring, and predicting therapeutic responses in autoimmune conditions.
  4. Translational Research:
    Studies that facilitate the translation of basic scientific discoveries into clinical practice, focusing on how findings in the lab can inform patient care and treatment strategies.
  5. Autoimmunity in Specific Populations:
    Investigations into how autoimmune diseases manifest differently across various populations, including age, gender, and genetic backgrounds.
  6. Impact of Infections on Autoimmunity:
    Research examining the relationship between infections (like COVID-19) and the exacerbation or initiation of autoimmune diseases.
Recent publications in the Journal of Translational Autoimmunity highlight several trending and emerging themes that reflect the evolving landscape of autoimmune research and clinical practice.
  1. Single-Cell Analysis and Omics Technologies:
    There is an increasing focus on single-cell transcriptomics and other omics technologies to understand the heterogeneity of immune responses in autoimmune diseases, facilitating personalized medicine.
  2. Novel Therapeutic Targets:
    Research is trending towards identifying and targeting novel immune checkpoints and pathways (e.g., LAG-3, IL-17A) for therapeutic interventions, reflecting a shift towards precision medicine in treatment.
  3. Impact of COVID-19 on Autoimmunity:
    The COVID-19 pandemic has spurred a surge in studies examining its effects on autoimmune diseases, vaccine responses, and the interplay between viral infections and autoimmunity.
  4. Biomarkers for Disease Monitoring:
    A growing emphasis on liquid biopsy and other biomarker studies aimed at predicting disease flares and therapeutic responses in conditions like lupus nephritis and autoimmune hepatitis.
  5. Machine Learning and AI in Autoimmunity:
    Emerging utilization of artificial intelligence and machine learning tools for early diagnosis and prediction of autoimmune disease outcomes, showcasing a technological advancement in the field.

Declining or Waning

In contrast to the emerging themes, certain areas of focus within the Journal of Translational Autoimmunity appear to be experiencing a decline in publication frequency or prominence.
  1. Traditional Autoimmune Disease Models:
    Research utilizing classical animal models for studying autoimmune diseases has decreased, as newer methodologies and models are being favored for their relevance to human disease.
  2. Descriptive Epidemiology of Autoimmune Diseases:
    There is a noted reduction in studies solely focused on the epidemiological aspects of autoimmune diseases without linking to molecular or therapeutic insights, moving towards more integrated approaches.
  3. Static Diagnostic Criteria:
    The exploration of static diagnostic criteria without considering the evolving nature of autoimmune diseases has waned, as the field shifts towards more dynamic and personalized diagnostic approaches.

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