Evidence map›Paper›PMID 40324661›Full record

ReviewBiotechnology advances2025

Tracking inflammation status for improving patient prognosis: A review of current methods, unmet clinical needs and opportunities.

Vidya Raju, Revanth Reddy, Arzhang Cyrus Javan, Behnam Hajihossainlou, Ralph Weissleder, Anthony Guiseppi-Elie, Katsuo Kurabayashi, Simon A Jones, Rose T Faghih

Abstract readReview
In one paragraph

Review in Biotechnology advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Knockout of theVeterinary sciences · 2026
    Article
  5. Article
  6. Review
  7. Article
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

9 authors.

Vidya RajuDepartment of Biomedical Engineering, New York University Tandon School of Engineering, New York, 11201, NY, USA.
Revanth ReddyDepartment of Biomedical Engineering, New York University Tandon School of Engineering, New York, 11201, NY, USA.
Arzhang Cyrus JavanNational Institutes of Health, Bethesda, 20892, MD, USA.
Behnam HajihossainlouDepartment of Infectious Diseases, Harlem Medical Center, and Columbia University, New York, 10032, NY, USA.
Ralph WeisslederCenter for Systems Biology, Massachusetts General Hospital, Department of Systems Biology, Harvard Medical School, and Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, 02115, Massachusetts, USA.
Anthony Guiseppi-ElieDepartment of Biomedical Engineering, Center for Bioelectronics, Biosensors and Biochips (C3B), and Department of Electrical and Computer Engineering, Texas A & M University, College Station, 77843, TX, USA; Department of Cardiovascular Sciences, Houston Methodist Institute for Academic Medicine and Houston Methodist Research Institute, Houston, 77030, TX, USA; ABTECH Scientific, Inc., Biotechnology Research Park, Richmond, 23219, Virginia, USA.
Katsuo KurabayashiDepartment of Mechanical and Aerospace Engineering, New York University, New York 11201, NY, USA.
Simon A JonesDivision of Infection and Immunity, and School of Medicine, Cardiff University, UK; Systems Immunity University Research Institute, Cardiff University, Cardiff CF14 4XN, UK.
Rose T FaghihDepartment of Biomedical Engineering, New York University Tandon School of Engineering, New York, 11201, NY, USA. Electronic address: rfaghih@nyu.edu.

Funding

MESH: Multimodal Estimators for Sensing HealthR35GM151353 · NIGMS · NEW YORK UNIVERSITY · PI Rose Faghih · 2023 to 2026
$1.5M
NIGMS NIH HHS R35 GM151353
6 · The paper itself

Abstract

Inflammation is the body's response to infection, trauma or injury and is activated in a coordinated fashion to ensure the restoration of tissue homeostasis and healthy physiology. This process requires communication between stromal cells resident to the tissue compartment and infiltrating immune cells which is dysregulated in disease. Clinical innovations in patient diagnosis and stratification include measures of inflammatory activation that support the assessment of patient prognosis and response to therapy. We propose that (i) the recent advances in fast, dynamic monitoring of inflammatory markers (e.g., cytokines) and (ii) data-dependent theoretical and computational modeling of inflammatory marker dynamics will enable the quantification of the inflammatory response, identification of optimal, disease-specific biomarkers and the design of personalized interventions to improve patient outcomes - multidisciplinary efforts in which biomedical engineers may potentially contribute. To illustrate these ideas, we describe the actions of cytokines, acute phase proteins and hormones in the inflammatory response and discuss their role in local wounds, COVID-19, cancer, autoimmune diseases, neurodegenerative diseases and aging, with a central focus on cardiac surgery. We also discuss the challenges and opportunities involved in tracking and modulating inflammation in clinical settings.

Indexed as

InflammationAutoimmune DiseasesBiomarkersCOVID-19CytokinesHumansNeoplasmsPrognosisSARS-CoV-2BiomarkersCytokinesAcute phase proteinsCytokinesData-driven modelingHealth prognosticsHormonesInflammatory biomarkersWearable health monitoring

Identifiers

PMID40324661
PMCPMC12173025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.