Evidence map›Paper›PMID 42840885›Full record

ReviewFrontiers in immunology2026

A new immunological paradigm for diseases: the protein-homeostasis-system hypothesis.

Kyung-Yil Lee

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Kyung-Yil LeeThe Catholic University of Korea College of Medicine, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contemporary immunology models are based primarily on reductionist concepts. However, they face limitations in reconciling clinical discordances such as the 'viral load paradox' in severe infections and the teleological enigma of the 'autoimmune paradox'. To bridge these systemic conceptual gaps, this paper proposes the protein-homeostasis-system (PHS) hypothesis, a novel paradigm based on organicism that views the living organism as a unified, self-regulating biosystem. It is asserted that all diseases, including autoimmune disorders and malignancy, are triggered by specific etiological substances-ranging from toxic elements and monoamines to pathogenic peptides and proteins, many of which originate from self-cells injured by infection, traumas, and cytokine storm. Within this overarching framework, the immune system's role is fundamentally redefined from an adversarial defense mechanism into a metabolic and regulatory management utility for cell protection and systemic homeostasis. Governed by the PHS, T cells and B cells regulate the systemic load of pathogenic peptides and proteins, while the innate immune system, including prions and amyloid proteins, manages non-protein materials. Acute clinical phenomena like cytokine storms are reinterpreted not as immune system autotoxicity, but as the desperate hyper-activation of non-specific immune clones responding to an overwhelming endogenous etiological load. This holistic perspective provides a robust translational rationale for the early, preemptive clinical use of systemic immunomodulators, including corticosteroids, intravenous immunoglobulins and biologics, to disrupt pathological feedback loops and restore rapid immunological stabilization, and views cancer as an independent biosystem's survival strategy.

Indexed as

Autoimmune DiseasesHomeostasisModels, ImmunologicalNeoplasmsProteinsAnimalsHumansImmunity, InnateProteinsetiological substancesetiologyoncogenesisorganicismpathophysiologyprotein-homeostasis-system hypothesis

Identifiers

PMID42840885
PMCPMC13639949

What OpenQuestion holds

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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.