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Record W4406220064 · doi:10.1111/pai.70026

Perilipin‐1 autoantibodies are a robust marker of acquired lipodystrophy and may precede clinical detection

2025· article· en· W4406220064 on OpenAlexfundno aff
Clément Triaille, Fernando Corvillo, Ann Mertens, Ilse Hoffman, Tania Roskams, Margarita López‐Trascasa, Lien De Somer, Kristina Casteels

Bibliographic record

VenuePediatric Allergy and Immunology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsnot available
FundersCHU Sainte-Justine FoundationWallonie-Bruxelles International
KeywordsMedicineAutoantibodyPerilipinLipodystrophyDermatologyImmunologyInternal medicineAntibodyAdipose tissueHuman immunodeficiency virus (HIV)Lipolysis

Abstract

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Generalized lipodystrophy is a rare syndrome of diffuse adipose tissue loss that may associate with metabolic and/or autoimmune comorbidities. The role of perilipin (PLIN1—a protein almost exclusively found in adipocytes) in lipodystrophy was first suggested in 2011 by the identification of deleterious genetic variants in PLIN1 in familial forms of lipodystrophy.1 More recently, the presence of autoantibodies against PLIN1 has been evidenced by Corvillo et al. in patients with acquired generalized lipodystrophy (AGL).2 Subsequently, two cohorts of patients with AGL were studied, and autoantibodies against PLIN1 were found in 37% and 50%, respectively,3, 4 especially in patients with associated autoimmune diseases. An underlying inborn error of immunity has been reported in one patient (APECED syndrome—autoimmune polyendocrinopathy, candidiasis, ectodermal dystrophy).4 In vitro evidence suggests that anti-PLIN1 autoantibodies play a pathogenic role rather than being an epiphenomenon. The proposed pathological effect of anti-PLIN1 autoantibodies is to block the interaction between PLIN1 and αβ-hydrolase domain containing 5 (ABHD5), causing ABDH5 to translocate to the cytosol, thereby increasing lipolysis.3, 5 While these exciting mechanistic and prevalence data are emerging, detailed clinical description of anti-PLIN1-positive patients are scarce in the literature. Here, we report the clinical presentation and disease course of two pediatric patients with common autoimmune diseases (type 1 diabetes, autoimmune hepatitis) who developed AGL in the presence of anti-PLIN1 antibodies. Patient 1 is a girl who presented at the age of 3 years with established features of generalized lipodystrophy (without prior or associated panniculitis): subcutaneous fat loss, muscular appearance for age, and phlebomegaly (Figure 1A). She also had vitiligo, acanthosis nigricans, and a cushingoid face. Personal and family history was unremarkable. Laboratory studies revealed elevated liver enzymes, hypergammaglobulinemia, negative serology tests for autoimmune hepatitis, normal C3, and slightly decreased C4 (0.13 g/L, reference range 0.16–0.38 g/L). Liver biopsy was consistent with autoimmune hepatitis (lymphocytic and plasma cells infiltration). She was treated with steroids and mycophenolate mofetil. After a first relapse, she was switched to azathioprine. Several hepatitis flares, possibly caused by poor adherence, occurred over the next 10 years and were managed with steroids and azathioprine dosage increase (Figure S1). Pronounced hypergammaglobulinemia also persisted. At 14.5 years of age, another liver biopsy harvested during hepatitis flare showed persistent hepatitis, with an elevated number of IgG4+ cells (Figure S1). Azathioprine was discontinued for rituximab, resulting in the current state of remission after 1.5 years on this therapy. The features of lipodystrophy have remained unchanged, without evolution throughout the disease course. Additional investigations on serum taken before receiving rituximab revealed positive anti-PLIN1 IgG and IgM antibodies by ELISA, which were further confirmed by indirect immunofluorescence (Hospital La Paz Institute for Health Research Madrid) (Figure 1B and Figure S2).3 A trio whole-exome sequencing did not reveal any pathogenic variant in genes known to cause inborn errors of immunity or inherited lipodystrophy (Table S1). Patient 2 is a boy who was diagnosed with type 1 diabetes at the age of 1.5 years without relevant personal or family history. Three months later, his parents reported diffuse loss of subcutaneous fat with sparing of the face (Figure 2A), despite acceptable glycemic control with a subcutaneous insulin pump. There was no clinical evidence of panniculitis. Laboratory tests showed undetectable leptin concentration (<1.6 μg/L, reference range: 2.2–11.1) and C-peptide (<0.01 nmol/L), normal C3/C4, negative autoantibodies against insulin, IA2A, GADA, and positive anti-PLIN1 IgG antibodies by ELISA, which were further confirmed by indirect immunofluorescence (Hospital La Paz Institute for Health Research, Madrid) (Figure 2B and Figure S2).3 A serum sample taken and stored at diabetes diagnosis was tested and also revealed the presence of anti-PLIN1 IgG antibodies, with similar titers (Figure 2B and Figure S2). Liver enzymes remained slightly elevated (ALT: 67–218 U/L, reference value <41) during 1 year and normalized spontaneously. Sequencing of a panel of genes involved in inherited lipodystrophy did not detect any pathogenic variant (Table S1). At the age of 3.5 years, the patient had a stable evolution with persistent generalized lipodystrophy. AGL with anti-PLIN1 antibodies has been reported to be associated with one or more autoimmune diseases in 82%–85% of cases, autoimmune hepatitis being the most frequent.3, 4 Our report illustrates that AGL may be the presenting symptom or occur later in the disease course in a patient with known autoimmunity. Noteworthy, the autoantibody isotypes detected in our patients do not correlate with the clinical onset of AGL, a finding similar to previous studies.3 Longitudinal studies are needed to ascertain whether there is a transition from IgM to IgG during the course of the disease or, conversely, whether these two classes persistently coexist in some patients. In addition, we provide the first evidence that anti-PLIN1 antibodies are already present before onset of clinically apparent AGL, paving the way for screening and potential preventive interventions in presymptomatic patients with positive autoantibodies. If confirmed on additional patients, this observation might also represent an advance in the understanding of the role of anti-PLIN1 antibodies. Indeed, some authors have raised the possibility that these autoantibodies could be a consequence of adipose tissue damage (rather than its cause) and appear secondarily to exposition of tissue-restricted antigens.5 Our report would argue against the latter hypothesis, although we cannot exclude that subclinical adipose tissue loss was already present when the first sample was tested. Overall, an in vivo study of the consequences of anti-PLIN1 antibodies remains necessary for a clear assessment of their potential pathogenic role. In conclusion, physicians caring for patients with autoimmune diseases should be aware of this rare entity, to ensure prompt diagnosis, appropriate patient information, and monitoring of comorbidities. Clément Triaille: Conceptualization; investigation; writing – original draft; visualization. Fernando Corvillo: Investigation; writing – review and editing; data curation; formal analysis. Ann Mertens: Writing – review and editing. Ilse Hoffman: Writing – review and editing; data curation; investigation. Tania Roskams: Investigation; writing – review and editing. Margarita López-Trascasa: Investigation; writing – review and editing; data curation. Lien De Somer: Investigation; writing – review and editing; data curation. Kristina Casteels: Investigation; writing – review and editing; data curation. We are grateful to the patients and their family for participating in this study. We thank the Belgian Diabetes Registry for providing the serum sample of patient 2. CT is partly funded by WBI World (Bourses d'excellence, Wallonie-Bruxelles International), Fondation CHU Sainte-Justine, and Fondation médicale Horlait-Dapsens. FC was awarded a research fellowship by the Asociación Española de Familiares y Afectados de Lipodistrofias (AELIP). The authors have no competing interest to disclose in relationship with the present manuscript. This study was approved by the ethics committee of UZ/KU Leuven (reference: S69540). Samples were obtained from the patients with written informed consent. Patients and/or legal representative provided written informed consent for publication of case report and clinical photographs. The peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer-review/10.1111/pai.70026. Access to additional information can be discussed on an ad hoc basis following contact with the corresponding author. Figure S1. Figure S2. Table S1. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.430

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.238
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations3
Published2025
Admission routes1
Has abstractyes

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