Hybrid technique identifies anti-nephrin autoantibodies as biomarker for kidney disorders with nephrotic syndrome

NewsGuard 100/100 Score

A groundbreaking study, presented today at the 61st ERA Congress, has uncovered a significant breakthrough in the diagnosis and monitoring of kidney diseases associated with nephrotic syndrome.

Using a hybrid technique, researchers identified anti-nephrin autoantibodies as a reliable biomarker for tracking disease progression, opening new avenues for personalized treatment approaches.

Nephrotic syndrome, characterized by elevated protein levels in the urine, is linked to kidney diseases such as minimal change disease (MCD), primary focal segmental glomerulosclerosis (FSGS), and membranous nephropathy (MN). The primary cause behind nephrotic syndrome is damage to podocytes, the cells responsible for filtering the kidneys, which allows protein to leak into the urine.

Children diagnosed with MCD or FSGS often receive a diagnosis of idiopathic nephrotic syndrome (INS), where the cause of the nephrotic syndrome is unknown. This is frequently because children with high protein levels in their urine rarely undergo a kidney biopsy, which is how the cause is typically determined.

Traditionally, diagnosing these conditions has posed challenges due to overlapping histological features and hesitancy to conduct invasive kidney biopsies, particularly in children. While anti-nephrin autoantibodies have been observed in certain patients with MCD and FSGS, their precise role in the advancement of these diseases is not fully understood.

The study, conducted across Europe and the USA, introduced a novel approach combining immunoprecipitation with enzyme-linked immunosorbent assay (ELISA) to reliably detect anti-nephrin autoantibodies.

The findings revealed that anti-nephrin autoantibodies were prevalent in 69% of adults with MCD and 90% of children with INS who had not been treated with immunosuppressive drugs. Importantly, the levels of these autoantibodies correlated with disease activity, suggesting their potential as a biomarker for monitoring disease progression. The antibodies were also rarely seen in the other diseases under examination.

To further investigate the impact of nephrin immunization on kidney function and disease, researchers administered laboratory-made nephrin protein to mice, creating a condition akin to MCD in the mice. Immunization led to the phosphorylation of nephrin and notable alterations in cell structure, indicating the involvement of antibodies targeting nephrin in podocyte malfunction and nephrotic syndrome.

Remarkably, unlike other models necessitating multiple immunizations, this model induced swift disease manifestation with a single immunization, even at low antibody concentrations.

The identification of anti-nephrin autoantibodies as a reliable biomarker, coupled with our hybrid immunoprecipitation technique, enhances our diagnostic capabilities and opens new avenues for closely monitoring disease progression in kidney disorders with nephrotic syndrome."

Dr. Nicola M. Tomas, co-lead author of the study

Professor Tobias B. Huber, lead author of the study, furthered, "By providing insights into underlying mechanisms, these findings lay the groundwork for personalized interventions and pave the way for a new era of precision medicine for these complex conditions."

The study is being published today in the New England Journal of Medicine and presented at the 61st ERA Congress in Stockholm, Sweden.

Journal reference:

Hengel, F. E., et al. (2024). Autoantibodies Targeting Nephrin in Podocytopathies. New England Journal of Medicine. doi.org/10.1056/nejmoa2314471.


The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Study links low oxytocin levels to symptoms of polycystic ovary syndrome