Altered Perivascular Fibroblast Activity Precedes ALS Disease Onset
|
By LabMedica International staff writers Posted on 28 Apr 2021 |

Image: Altered Perivascular Fibroblast Activity Precedes Amyotrophic Lateral Sclerosis Onset (Photo courtesy of Karolinska Institutet)
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease of the motor neurons that eventually causes muscular atrophy, paralysis and death. There is currently no cure. The cause of ALS is only understood in the 5% to 10% of patients who have an inherited form of the disease.
ALS patients demonstrate high variability of age at onset, non-motor symptoms and survival. In recent years, scientists have shifted focus from neurological explanations to these differences, and has taken an interest, for example, in the cerebral vascular system, which delivers oxygen and nutrients to brain tissue.
Scientists specializing in Affinity Proteomics at the Karolinska Institutet (Stockholm, Sweden) and their international colleagues used an expression-weighted cell-type enrichment method to infer cell activity in spinal cord samples from patients with sporadic ALS and mouse models of this disease. They examined the levels of a large number of potential marker proteins in the plasma of 574 patients with a recent ALS diagnosis and 504 healthy controls from four countries.
The team reported that patients with sporadic ALS present cell activity patterns consistent with two mouse models in which enrichments of vascular cell genes preceded microglial response. Notably, during the presymptomatic stage, perivascular fibroblast cells showed the strongest gene enrichments, and their marker proteins Secreted Phosphoprotein 1 (SPP1) and Collagen Type VI Alpha 1 Chain (COL6A1) accumulated in enlarged perivascular spaces in patients with sporadic ALS. Moreover, in plasma of 574 patients with ALS from four independent cohorts, increased levels of SPP1 at disease diagnosis repeatedly predicted shorter survival with stronger effect than the established risk factors of bulbar onset or neurofilament levels in cerebrospinal fluid.
Anna Månberg, PhD, the first author of the study, said, “It is exciting to see how the results from our protein profiling could be connected to the long range of cellular and molecular analysis that we have done and reveal the identified association to disease progression.”
The authors concluded that the activity of the recently discovered perivascular fibroblast can predict survival of patients with ALS and provide a new conceptual framework to re-evaluate definitions of ALS etiology. The study was published on April 15, 2021 in the journal Nature Medicine.
Related Links:
Karolinska Institutet
ALS patients demonstrate high variability of age at onset, non-motor symptoms and survival. In recent years, scientists have shifted focus from neurological explanations to these differences, and has taken an interest, for example, in the cerebral vascular system, which delivers oxygen and nutrients to brain tissue.
Scientists specializing in Affinity Proteomics at the Karolinska Institutet (Stockholm, Sweden) and their international colleagues used an expression-weighted cell-type enrichment method to infer cell activity in spinal cord samples from patients with sporadic ALS and mouse models of this disease. They examined the levels of a large number of potential marker proteins in the plasma of 574 patients with a recent ALS diagnosis and 504 healthy controls from four countries.
The team reported that patients with sporadic ALS present cell activity patterns consistent with two mouse models in which enrichments of vascular cell genes preceded microglial response. Notably, during the presymptomatic stage, perivascular fibroblast cells showed the strongest gene enrichments, and their marker proteins Secreted Phosphoprotein 1 (SPP1) and Collagen Type VI Alpha 1 Chain (COL6A1) accumulated in enlarged perivascular spaces in patients with sporadic ALS. Moreover, in plasma of 574 patients with ALS from four independent cohorts, increased levels of SPP1 at disease diagnosis repeatedly predicted shorter survival with stronger effect than the established risk factors of bulbar onset or neurofilament levels in cerebrospinal fluid.
Anna Månberg, PhD, the first author of the study, said, “It is exciting to see how the results from our protein profiling could be connected to the long range of cellular and molecular analysis that we have done and reveal the identified association to disease progression.”
The authors concluded that the activity of the recently discovered perivascular fibroblast can predict survival of patients with ALS and provide a new conceptual framework to re-evaluate definitions of ALS etiology. The study was published on April 15, 2021 in the journal Nature Medicine.
Related Links:
Karolinska Institutet
Latest Pathology News
- New AI Test Delivers Rapid Breast Cancer Recurrence Predictions
- EBV Status Helps Predict Survival in Primary CNS Lymphoma
- AI Pathology Tool Predicts Immunotherapy Response in Rare Cancers
- Uncertainty-Aware AI Tool Improves Digital Pathology for Cancer Subtyping
- Study Highlights Biomarker Testing Delays in Lung Cancer Care
- Stain-Free Imaging Platform Matches Standard Cancer Pathology
- New Companion Diagnostic Expands Precision Medicine in Prostate Cancer
- Uncertainty-Aware AI Platform Supports Automated HER2 Assessment in Breast Cancer
- AI Tool Speeds Brain Tumor Classification from Routine Histology Slides
- IHC Companion Diagnostic Standardizes Mismatch Repair Testing for Cancer Immunotherapy
- AI Pathology Tool Predicts Meningioma Recurrence from Routine Slides
- 3D Spatial Multi-Omics Maps Intra-Tumor Diversity in Colorectal Cancer
- Blood-Based Method Tracks Gene Activity in the Living Brain
- FDA Approval Expands Automated PD-L1 Testing Across Solid Tumors
- AI-Powered Atlas Maps Immune Structures Linked to Cancer Outcomes
- AI Tool Extracts Immune Signals from Biopsy to Inform Myeloma Therapy
Channels
Molecular Diagnostics
view channel
Epigenetic Profiling Could Refine Prognosis in Acute Myeloid Leukemia
Acute myeloid leukemia (AML) is an aggressive hematologic malignancy with heterogeneous biology that complicates prognostication and treatment selection. Genetic testing clarifies many drivers, yet it... Read more
Genetic Risk Score Supports Diagnosis and Prognosis in Idiopathic Pulmonary Fibrosis
Idiopathic pulmonary fibrosis (IPF) causes progressive, irreversible lung scarring that limits breathing and can lead to death. More than 100,000 Americans live with IPF, and an estimated 30,000–40,000... Read more
Extracellular Vesicle Marker Identifies Early Lung Adenocarcinoma and Predicts Recurrence
Lung cancer remains a leading cause of cancer death, and early-stage disease often produces few symptoms, complicating timely diagnosis and risk stratification. Conventional imaging and tissue biopsy have... Read moreHematology
view channel
New Biomarkers Predict Resistance to Targeted Therapy in Rare Blood Cancer
Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and aggressive leukemia with limited treatment options and a poor prognosis. Although tagraxofusp is the first approved targeted therapy for... Read more
AI Decision Support System Guides Treatment Selection for Complex Blood Cancers
Treatment selection for hematologic malignancies often requires clinicians to synthesize clinical histories, genomic alterations, prior therapies, and rapidly evolving drug options. These complex decisions... Read moreImmunology
view channel
Diagnostic Models Detect Hidden Eye Abnormalities After Mild COVID-19
Persistent ocular symptoms after COVID-19 can severely affect reading, work, and daily tasks, yet standard eye exams often reveal no clear abnormalities. Patients experiencing photophobia, eye pain, and... Read more
Anti-Lipid Antibody Biomarkers May Identify Early Lyme Disease and Persistent Symptoms
Lyme disease is often missed during its earliest and most treatable stage, while current serologic assays cannot distinguish active infection from prior exposure. Nearly half a million Americans are diagnosed... Read more
Emergency Department Opt-Out Testing Program Identifies Undiagnosed HIV
Undiagnosed HIV continues to drive avoidable morbidity and transmission, with many people identified only after substantial immune damage has occurred. In England, about one in 20 people living with HIV... Read more
Immune Biomarkers Could Identify Risk of Chronic Critical Illness on ICU Admission
Severe traumatic injury can trigger immune and organ dysfunction that complicates recovery in the intensive care unit. A subset of patients develop chronic critical illness, defined as dependence on intensive... Read moreMicrobiology
view channel
CE-Marked Blood Assay Automates Tuberculosis Infection Testing
Tuberculosis continues to pose a major global health challenge, with an estimated 10.7 million people falling ill and 1.23 million deaths in 2024. Roughly one quarter of the world’s population is believed... Read more
Genomic Surveillance Algorithm Improves Early Detection of Emerging Variants
Genomic surveillance is essential for detecting viral variants before they spread widely, yet many public health systems face high costs, uneven capacity, and computational barriers. Existing analytic... Read more
Rapid Gastrointestinal PCR Panels Deliver One-Hour Results
Acute infectious gastroenteritis remains a major cause of illness worldwide, especially in young children, older adults, and immunocompromised patients. Nonspecific symptoms such as diarrhea, vomiting,... Read more
H. pylori Screening Within Colorectal Program Aids Gastric Cancer Prevention
Health systems increasingly rely on economic evidence to guide cancer prevention strategies. For gastric cancer, selecting screening approaches that can integrate with existing programs is a key policy question.... Read morePathology
view channel
New AI Test Delivers Rapid Breast Cancer Recurrence Predictions
Recurrent breast cancer remains a persistent driver of morbidity and retreatment, and current risk stratification often depends on genomic assays that are costly and slow. Waiting weeks for results can... Read more
EBV Status Helps Predict Survival in Primary CNS Lymphoma
Primary central nervous system lymphoma is a rare malignancy in which tumors arise in the brain and, less often, the spinal cord, eyes, or cerebrospinal fluid. Outcomes are especially variable when the... Read moreTechnology
view channel
Training Device Improves Accuracy of Pooled Molecular Diagnostics
High-throughput molecular diagnostics have transformed infectious disease detection, but many workflows remain difficult to execute accurately without extensive training. Sample pooling can cut per‑test... Read more
New CE-Certified Software Advances Whole-Genome Cancer Testing
European hospitals are increasingly using comprehensive tumor genomics to guide therapy, but routine whole genome sequencing (WGS) requires validated, regulation-compliant workflows. A newly CE-certified... Read more
National Rare Disease Registry Standardizes Genetic and Clinical Data for Coordinated Care
Rare diseases collectively impose a significant clinical burden despite their individual rarity, often involving multisystem presentations and prolonged diagnostic journeys. Limited specialist expertise... Read moreIndustry
view channel
Natera’s Signatera Earns IVDR Certification for Solid Tumor MRD Testing
Natera’s Signatera has received certification as a Class C device under the European Union’s In Vitro Diagnostic Regulation (IVDR), becoming the first personalized MRD test for solid tumors to achieve... Read more
Eurobio Scientific Completes Acquisition of CareDx Lab Products Division
Eurobio Scientific has closed the acquisition of CareDx AB in Sweden and its fully owned subsidiaries in the United States and Australia that constitute CareDx’s Lab Products division. The business will... Read more
Blood-Based CRISPR Test for Tuberculosis Gains Regulatory Approval in Colombia
Colombia remains a high-priority setting for tuberculosis, with a growing need for diagnostics that complement existing testing strategies and improve access to earlier diagnosis. Solutions that function... Read more








