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27 articles matching "preprint"

ResearchBIORXIVToday

Preprint: Granulin loss and TMEM106B risk converge on lysosomal C-terminal fragment pathology in frontotemporal dementia

Scientists are studying how two genes work together to cause frontotemporal dementia, a type of brain disease that affects thinking and behavior. One gene called GRN normally makes a protein that protects brain cells, but when it's broken, people can develop dementia. Another gene called TMEM106B can either increase or decrease the risk of getting sick. This research helps explain why some people with the broken GRN gene stay healthy their whole lives while others get dementia.

WHY IT MATTERSIf you or a family member carries a GRN mutation, understanding how TMEM106B variants modify your risk could eventually help doctors predict who will develop frontotemporal dementia and when, potentially enabling earlier monitoring or future preventive treatments.
Good to knowFrontotemporal dementiaFrontotemporal dementia with granulin mutationsRead →
ResearchBIORXIVYesterday

Preprint: Genotype-Based Severity Scoring System in Wolfram Syndrome

Wolfram syndrome is a rare genetic disorder that causes diabetes, vision loss, hearing loss, and brain problems. Researchers created a new scoring system that looks at the specific genetic mutations in the WFS1 gene to predict how severe a patient's symptoms will be and when they might appear. This system could help doctors understand what to expect for each patient based on their individual genetic makeup.

WHY IT MATTERSIf validated, this genotype-based scoring system could allow doctors to predict disease progression and symptom onset in individual Wolfram syndrome patients, enabling earlier intervention and personalized monitoring strategies.
Good to knowWolfram syndromeRead →
ResearchBIORXIVYesterday

Preprint: Fasting reverses PLN R14del-mediated cardiomyopathy through lysosomal reactivation

Scientists discovered that fasting may help reverse heart damage caused by a specific genetic mutation in the PLN gene called R14del. This mutation causes a common type of inherited heart disease where abnormal protein clumps build up in heart cells. The research shows that fasting activates the cell's cleanup system (lysosomes) to remove these harmful clumps and restore heart function.

WHY IT MATTERSIf confirmed in human studies, fasting could offer PLN R14del cardiomyopathy patients a non-drug intervention to potentially reverse heart damage, though this is currently only demonstrated in laboratory research and requires clinical validation.
👁 Watch this spacePLN R14del cardiomyopathydilated cardiomyopathyarrhythmogenic cardiomyopathyRead →
ResearchBIORXIV6 days ago

Preprint: Blood-based RNA-Seq of 5412 individuals with rare disease identifies new candidate diagnoses in the National Genomic Research Library

Researchers analyzed blood samples from over 5,400 people with rare genetic diseases to see if a test called RNA-Seq could help find the genetic cause of their conditions. They found that this blood test works better for some diseases than others, and they used special computer programs to spot unusual gene activity patterns that might explain why people got sick. This study shows that blood tests could be a useful tool to help diagnose rare diseases alongside other genetic tests.

WHY IT MATTERSIf you have an undiagnosed rare disease, this research suggests blood-based RNA testing could help identify the genetic cause—potentially leading to a diagnosis after years of searching.
Good to knowRead →
ResearchBIORXIV6 days ago

Preprint: Plasma proteomics identifies early markers of endothelial and inflammatory activation associated with dengue disease severity in children

Researchers studied blood samples from children with dengue virus infection to find early warning signs that could predict who will develop severe disease. By analyzing proteins in the blood, they identified markers related to inflammation and blood vessel damage that appear in children who get sicker. This discovery could help doctors quickly identify which children need more intensive care.

WHY IT MATTERSIf validated, these protein markers could enable doctors to predict dengue severity within hours of diagnosis in children, allowing earlier intervention before complications like hemorrhagic fever or shock develop.
👁 Watch this spacedengue feverdengue hemorrhagic feverdengue shock syndromeRead →
ResearchBIORXIVApr 18

Preprint: Proteomics signatures associated with cognitive trajectories: evidence from the English Longitudinal Study of Ageing

Researchers studied blood proteins in over 2,400 older adults to find which ones might predict memory and thinking problems later in life. They found 34 proteins linked to faster decline in orientation (knowing where you are and what time it is) and 18 proteins linked to memory loss over 15 years. This early-stage research could help doctors identify people at risk for dementia before symptoms appear.

WHY IT MATTERSIf validated, these protein signatures could enable blood tests to identify people at risk for cognitive decline years before symptoms develop, potentially opening windows for preventive treatments in Alzheimer's disease and related dementias.
👁 Watch this spaceAlzheimer's diseaseAlzheimer's disease and related dementiasRead →
ResearchBIORXIVApr 17

Preprint: OpenScientist: evaluating an open agentic AI co-scientist to accelerate biomedical discovery

Scientists created OpenScientist, a new artificial intelligence tool that can help researchers discover medical breakthroughs faster. This AI assistant can read through lots of medical information, analyze data, and put together what it learns — tasks that normally take human scientists a long time. The goal is to speed up finding new treatments and understanding diseases better.

WHY IT MATTERSThis AI tool could help researchers discover new treatments and understand rare diseases more quickly by automating time-consuming research tasks, potentially leading to faster development of therapies for patients with rare conditions.
Good to knowRead →
ResearchBIORXIVApr 17

Preprint: The results of Transcriptome-wide Mendelian Randomization (TWMR) in large-scale populations can directly validate, across scales, the results of causal inference from deep learning combined with double machine learning on single-cell transcriptomes of human samples.

Scientists are testing a new way to understand how genes cause diseases by combining two different research methods: one that studies genes in large groups of people, and another that looks at individual cells in the lab. This study checks whether both methods give the same answers, which would help researchers trust their findings more and move treatments from the lab to real patients faster.

WHY IT MATTERSIf validated, this approach could accelerate how researchers identify disease-causing genes in rheumatologic conditions, potentially leading to faster development of targeted treatments for patients with autoimmune and inflammatory diseases.
Good to knowRead →
ResearchBIORXIVApr 16

Preprint: A brain-persistent DDR2-degrading antibody reverses Alzheimer's pathologies by restoring brain fluid dynamics and metabolic clearance

Researchers found that a protein called DDR2 is overactive in Alzheimer's disease and may be blocking the brain's natural cleaning system. They developed an antibody (a type of immune protein) that can cross into the brain and reduce DDR2 levels, which in early studies helped restore the brain's ability to clear out harmful waste products and improved Alzheimer's symptoms in animal models.

WHY IT MATTERSThis research identifies a new therapeutic target for Alzheimer's disease that works through a different mechanism than current treatments, potentially offering hope for patients whose disease progresses despite existing amyloid-targeting therapies.
👁 Watch this spaceAlzheimer's diseaseRead →
ResearchBIORXIVApr 14

Preprint: CoNVict: An Agentic AI System for Copy Number Variation Prioritization in Rare Disease Diagnosis

Scientists created a new AI system called CoNVict that helps doctors figure out which genetic changes are actually causing rare diseases. Copy number variants (CNVs) are sections of DNA that are duplicated or missing, and they can cause genetic disorders, but it's hard to know which ones matter. This new tool uses artificial intelligence to automatically score and rank these genetic changes so doctors can focus on the ones most likely to be causing a patient's symptoms.

WHY IT MATTERSIf your child has unexplained developmental delays or birth defects and genetic testing found copy number variants, this AI tool could help doctors identify which variant is actually responsible for your child's condition, potentially speeding up diagnosis.
👁 Watch this spaceRead →
ResearchBIORXIVApr 14

Preprint: The Economic Burden of KCNT1-Related Disorders in the United States: Insights from Caregiver-Reported and EMR-Derived Data

Researchers studied how much money families and the healthcare system spend on KCNT1-related disorders, a rare genetic brain condition that causes severe seizures starting in early childhood. The study used information from both families caring for patients and medical records to understand the true financial costs. This is important because there are currently no approved treatments that can change the course of the disease, so families face lifelong expensive care.

WHY IT MATTERSIf you have a child with KCNT1-related epilepsy, this research documents the financial burden your family faces and provides evidence that could support insurance coverage decisions and funding for new treatments.
Good to knowKCNT1-related epilepsyKCNT1-related disordersRead →
ResearchBIORXIVApr 13

Preprint: WITHDRAWN: Parents' Experiences of Navigating Diagnostic Uncertainty in Children With Rare Diseases: A Narrative Inquiry

A research study about how parents cope when their children have rare diseases and doctors can't quickly figure out what's wrong was withdrawn from a scientific website. The authors submitted the study with false information, so it is no longer available for other researchers to read or use.

WHY IT MATTERSThis withdrawal highlights the importance of verifying research quality and integrity — families relying on studies about rare disease diagnosis need accurate, trustworthy information to guide their own experiences.
Good to knowRead →
ResearchBIORXIVApr 12

Preprint: Complementary vertebrate Wac models exhibit phenotypes relevant to DeSanto-Shinawi Syndrome

Scientists created animal models (using fish and mice) that mimic DeSanto-Shinawi Syndrome, a rare genetic disorder caused by mutations in the WAC gene. These animal models showed symptoms similar to what patients experience, including developmental delays, intellectual disability, autism-like behaviors, and seizures. This research helps scientists understand how WAC gene mutations cause these symptoms and could lead to better treatments in the future.

WHY IT MATTERSFor the first time, researchers have created animal models that reproduce the key symptoms of DeSanto-Shinawi Syndrome, which could accelerate the discovery of why patients develop autism, seizures, and developmental delays—and potentially identify new treatment targets.
👁 Watch this spaceDeSanto-Shinawi SyndromeRead →
PolicyBIORXIVApr 10

Preprint: The Orphanet Nomenclature and Classification of rare diseases: a standard terminology for improved patient recognition and data interoperability

Researchers created a standard naming and classification system for rare diseases to help doctors and scientists share information more easily across different countries. Right now, rare diseases aren't well organized in medical databases, which makes it hard to collect data and help patients. This new system aims to fix that problem so patients can be recognized and tracked better worldwide.

WHY IT MATTERSStandardized rare disease terminology means your diagnosis is more likely to be recognized consistently across different hospitals and countries, improving your chances of being included in research studies and getting accurate care.
Good to knowRead →
ResearchBIORXIVApr 6

Preprint: Patient and family reported clinical picture of IRF2BPL-related disorders

Researchers studied a rare genetic disorder called IRF2BPL-related disorder, which affects brain development and causes delays in learning and thinking skills. They surveyed patients and families to better understand what symptoms appear, when they start, and how they change over time. This is one of the first studies to collect detailed information directly from patients about their experiences with this condition.

WHY IT MATTERSThis is the first large patient-reported study of IRF2BPL-related disorder, which could help doctors recognize the condition earlier and give families a clearer picture of what to expect over time.
Good to knowIRF2BPL-related disorderRead →
ResearchBIORXIVApr 5

Preprint: Burden of rare pathogenic variants suggests disrupted cytoskeletal organisation in the pathogenesis of pulmonary fibrosis

Researchers studied the genes of people with pulmonary fibrosis (a disease where lung tissue becomes scarred and stiff) to find rare genetic changes that might cause the disease. They found that problems in genes related to how cells maintain their structure may play an important role in developing pulmonary fibrosis. This discovery could help doctors better understand why some people develop this serious lung condition.

WHY IT MATTERSIf you or a family member has pulmonary fibrosis, this research could eventually help explain your genetic risk and lead to new treatments targeting the cellular structures that are damaged in this disease.
Good to knowIdiopathic Pulmonary FibrosisPulmonary FibrosisRead →
ResearchBIORXIVApr 5

Preprint: Gene Portals: A Framework for Integrating Clinical, Functional, and Structural Evidence into Rare Disease Variant Classification

Scientists created a new tool called Gene Portals that helps doctors understand whether genetic changes cause rare diseases. Instead of searching through many different websites and databases, doctors can now use one central location that combines patient information, lab test results, and genetic data all in one place. This makes it easier and faster to figure out if a genetic mutation is actually responsible for a patient's rare disease.

WHY IT MATTERSPatients with rare genetic diseases may finally get faster and more accurate diagnoses because doctors will have a standardized way to interpret genetic test results, reducing the chance of misdiagnosis or missed diagnoses.
Good to knowRead →
ResearchBIORXIVApr 4

Preprint: Targeted Long-Read sequencing provides functional validation of variants predicted to alter splicing

Researchers developed a new test called targeted long-read sequencing that can better identify which genetic changes affect how genes are read and used in cells. This test is more accurate than older methods at finding these changes in patients with neurological disorders, and it's faster and cheaper than previous approaches.

WHY IT MATTERSIf you have a neurological disorder where genetic testing hasn't found a clear diagnosis, this method could help doctors identify the actual genetic cause by better detecting splicing variants that standard tests miss.
Good to knowRead →
ResearchBIORXIVApr 3

Preprint: FA-NIVA: A Nextflow framework for automated analysis of Nanopore based long-read sequencing data for genetic analysis in Fanconi anemia

Scientists created a new computer tool called FA-NIVA that helps doctors find genetic mistakes in Fanconi anemia patients more accurately. Fanconi anemia is a rare inherited blood disorder caused by mistakes in specific genes. This new tool uses advanced DNA sequencing technology that reads longer pieces of DNA, making it easier to spot all types of genetic errors, including big deletions and insertions that older methods sometimes miss.

WHY IT MATTERSThis tool could help doctors diagnose Fanconi anemia more accurately and completely by detecting genetic variants that standard testing methods currently miss, potentially leading to faster diagnosis and better understanding of individual patient mutations.
Good to knowFanconi anemiaRead →
ResearchBIORXIVApr 2

Preprint: Ultra-rare biallelic THAP12 variants cause loss of function and underlie severe epileptic encephalopathy

Researchers discovered that mutations in a gene called THAP12 cause a severe type of childhood epilepsy called developmental and epileptic encephalopathy. Two siblings with this condition had two broken copies of the THAP12 gene (one from each parent), which stopped the gene from making enough of its protein. This finding helps explain why some children develop severe seizures early in life and could lead to better diagnosis and treatment options.

WHY IT MATTERSFamilies with children diagnosed with infantile spasms or Lennox-Gastaut syndrome now have a new genetic cause to test for, which could explain their child's condition and guide future treatment decisions.
💬 Ask your doctorDevelopmental and Epileptic Encephalopathy (DEE)Infantile SpasmsLennox-Gastaut SyndromeRead →
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