Evidence map›Paper›PMID 39973451›Full record

SynthesisJournal of neuromuscular diseases

Inflammatory myopathy with abundant macrophage [IMAM]: Systemic analysis and pathological approach to distinguish it from dermatomyositis.

Ahmed Bamaga, Maher Kurdi, Alaa Alkhotani, Huda Alghefari, Raed Gasemaltayeb, Faisal Mrair, Zahir T Fadel, Riffat Mehboob, Awab Tayyib, Ahmad R Abuzinadah

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of neuromuscular diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ahmed BamagaDepartment of Pediatrics, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0002-0115-9457
Maher KurdiDepartment of Pathology, Faculty of Medicine, King Abdulaziz University, Rabigh, Saudi Arabia.ORCID 0000-0002-8979-3849
Alaa AlkhotaniDepartment of Pathology, College of Medicine, Umm Al-Qura University, Mecca, Saudi Arabia.
Huda AlghefariDepartment of Pathology, Faculty of Medicine, King Abdulaziz University, Rabigh, Saudi Arabia.
Raed GasemaltayebDepartment of Internal Medicine, Faculty of Medicine, King Abdulaziz University, Rabigh, Saudi Arabia.ORCID 0009-0009-4090-5051
Faisal MrairDepartment of Pathology, Faculty of Medicine, King Abdulaziz University, Rabigh, Saudi Arabia.
Zahir T FadelDepartment of Surgery, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.ORCID 0000-0003-0754-7896
Riffat MehboobNational Institute of Health, Bethesda, MD, USA.
Awab TayyibDepartment of Pathology, Faculty of Medicine, University of Jeddah, Jeddah, Saudi Arabia.
Ahmad R AbuzinadahDepartment of Neurology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory myopathy with abundant macrophage [IMAM] is marked by macrophage infiltration and muscle fibers damage, resembling dermatomyositis [DM] but with unique pathology. Its mechanism remains unclear. Our study focused on exploring the clinicopathological characteristics, underlying pathogenic mechanisms, and the challenges in diagnosing and managing IMAM.

methodsA systematic analysis of medical literature databases (Pub-med, Cochrane, Scopus, Google Scholar) was performed using the term "IMAM," excluding studies on other inflammatory myopathies [IMs]. Selected studies were independently assessed with the Newcastle-Ottawa Scale, and quantitative data underwent inter-statistical analysis, descriptive and odds ratio, to identify relevant findings.

resultsEight studies, including 49 IMAM cases from 2003 to 2024, were analyzed. Five were case reports, and three were cross-sectional studies. IMAM showed no age or sex predilection. Common symptoms included proximal muscle weakness, pain, and fatigue, with atypical DM-like skin features in 65% of cases. Other association included hemophagocytosis, cutaneous panniculitis, and interstitial lung infiltration. Histologically, all cases showed myonecrosis infiltrated with CD68+ macrophages. Scattered CD3+ and CD4+ T-cells expressing IL-10 with no or rare CD8+ T-cells were identified. MAC deposition was limited to necrotic fibers, and perifascicular atrophy was absent in all cases. Anti-PL-7 and anti-U1 RNP antibodies were detected in 4% of cases. Elevated TNFα and IFN-γ levels, with low STAT1 and STAT6, were observed. Genetic analysis revealed

conclusionIMAM is a distinct type of IMs that requires muscle biopsy for diagnosis as myositis antibody and cytokine tests are usually insensitive.

Indexed as

DermatomyositisMacrophagesMyositisDiagnosis, DifferentialHumansclinical featuresdermatomyositisIMAMMFFpathologytreatment

Identifiers

PMID39973451
PMCPMC11949305

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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.