NIH Grant Trends

Explore funding patterns and discover how research areas have evolved over time

Search Grant Trends

Enter a research keyword to analyze NIH funding trends over time

Search Term

autism

Total Projects

8,737

Total Funding

$4,691,434,715

Time Period

2021-2026

Trend Interpretation

Use this summary to decide whether the keyword looks promising, stable, or too narrow to act on without broader terms.

Cooling

Current momentum

2025

Peak funding year

-77%

Funding change across range

$490,357

Latest average award

Recent activity looks softer than the earlier window. Check adjacent keywords and institute fit before ruling the area out.

Project Count by Year

Number of grants awarded annually

Funding by Year

Total funding amount annually

Funding Distribution by Year

Average funding per project by year (bubble size represents total funding)

New Awards vs Renewals

New applications (Type 1) vs continuations/renewals (Types 2, 3, 5, 7) by year. Early-career researchers primarily compete for new (Type 1) awards.

By Project Count

By Funding Amount

Weekly Updates

Latest funding activity (Week ending 2026-05-01)

New Projects This Week

3

Total funding: $776,667

Trending Keywords

autism30 projects
disorder29 projects
spectrum17 projects
with16 projects
adult16 projects

Recent Opportunity Signals

A short read on whether the latest projects in this topic look useful for job searches, mentor scouting, or lab outreach.

1

High-opportunity leads

1

Likely hiring signals

2

Training-friendly awards

57

Average opportunity score

This search skews toward fellowships and mentored awards. It may be better for trainee funding or sponsor identification than direct job hunting.

Opportunity Landscape

Plotly bubble chart for recent awards. Bubble size and color highlight which grants may be more actionable for outreach, jobs, or closer review.

Recently Approved Grants

3 grants approved in the last 7 days

Total Funding

$776,667

Average Award

$258,889

Top Agency

NIH

Latest Approved Projects

Family caregivers in later life: A longitudinal study of well-being and mental health in families of adults with autism and developmental disabilities

UNIVERSITY OF CALIFORNIA LOS ANGELES, LOS ANGELES, CA

$651,373

R01

Grant Number: 5R01AG080599-04

Agency: NIH

Mechanism: Non-SBIR/STTR

PI: Catherine Lord

Start Date: 2023-03-15T00:00:00

Terms: <0-11 years old><ASD><Address><Adult Children><Adult Daughters><Adult Offspring><Adult Sons><Affect><Age><Aggression><Aggressive behavior><Aging><Amentia><Anxiety><Autism><Autistic Disorder><Autistic young adult><Behavior><Behavioral><Belief><Biological><Biological Aging><Biological Function><Biological Process><Buffers><Burden on their caregivers><Care Givers><Caregiver Burden><Caregiver instruction><Caregiver well-being><Caregivers><Caring><Characteristics><Child><Child Development Disorders><Child Youth><Children (0-21)><Cognitive><Cognitive aging><Coping Skills><Data><Deceleration><Dementia><Development><Developmental Delay><Developmental Delay Disorders><Developmental Disabilities><Disease><Disorder><Early Infantile Autism><Economic Income><Economical Income><Education><Educational aspects><Emotional Depression><Event><Exposure to><Family><Family Care Giver><Family Caregiver><Financial Support><Future><Goals><Health><History><Home><Income><Independent Living><Infantile Autism><Interview><Kanner's Syndrome><Life><Link><Long-term prospective studies><Longitudinal Studies><Longitudinal Surveys><Measures><Mental Depression><Mental Health><Mental Hygiene><Modeling><Outcome><Patient Self-Report><Personal Satisfaction><Physical Function><Predictive Factor><Prospective Studies><Psychological Health><Questionnaires><Race><Races><Recording of previous events><Research><Research Resources><Resources><Retirement><Risk><Role><Sampling><Self-Report><Social Network><Social support><Specific Child Development Disorders><Specificity><Stress><Testing><Time><Work><accelerated aging><accelerated biological age><accelerated biological aging><accumulated exposure><accumulated long-term exposure><adult with ASD><adult with autism><adult with autism spectrum disorder><adult youth><adults on the autism spectrum><adults on the spectrum><age acceleration><ages><aggregate exposure><autism spectral disorder><autism spectrum disorder><autistic><autistic adult><autistic children><autistic individuals><autistic people><autistic spectrum disorder><biologic><biological process of age><build resilience><build resiliency><burden in caregivers><burden of their caregivers><burden on caregivers><care giver education><care giver instruction><care giver stress><care giver training><care giver well-being><care giver wellbeing><care giving><care giving burden><caregiver distress><caregiver education><caregiver stress><caregiver training><caregiver wellbeing><caregiving><caregiving burden><caregiving stress><children on the autism spectrum><children with ASD><children with autism><children with autism spectrum disorder><cognitive ability><cognitive change><cognitive function><coping><coping strategy><cumulative exposure><cumulative life exposure><cumulative long-term exposure><cumulative risk><demographics><depression><depression symptom><depressive><depressive symptoms><develop resilience><develop resiliency><developmental><developmental disease><developmental disorder><diaries><enhance resilience><enhance resiliency><externalizing behavior><facilitate resilience><financial aid><financial assistance><histories><homes><improve resilience><improve resiliency><improved><incomes><increase resilience><increase resiliency><individuals on the autism spectrum><individuals on the spectrum><individuals with ASD><individuals with autism><individuals with autism spectrum disorder><kids><later in life><later life><life-course exposure><lifelong exposure><lifespan exposure><lifetime exposure><long-term study><longitudinal outcome studies><longitudinal research study><longitudinal, prospective study><older adult><older adulthood><people on the autism spectrum><people with ASD><people with autism><people with autism spectrum disorder><prevent><preventing><promote resilience><promote resiliency><prospective><prospective research study><prospective survey><racial><racial background><racial origin><resilience><resilience development><resilient><retirements><social><social factors><social role><social support network><stress among caregiver><stress in caregiver><stress on caregiver><totality of exposures><verbal><well-being><wellbeing><young adult><young adult age><young adult with ASD><young adult with autism><young adult with autism spectrum disorder><young adulthood><youngster>

Abstract: Project Summary/Abstract This project aims to improve our ability to support the resilience of family caregivers of adults with autism and developmental disorders as the caregivers move into later life. Based on a 30 year longitudinal study that prospectively followed families from when their children were referred for possible autism or developmental delays, we will use a social convoy model to investigate trajectories of social connectedness and isolation over the next five years as they affect caregivers’ mental health and well-being. This model describes changes in social connectedness over time that may increase vulnerability or reduce the effects of caregiver burden. We examine additional interacting factors specifically related to family caregiver well-being and mental health in families with adult children with developmental disabilities. We will use questionnaires, app-based diaries, face to face interviews and exploratory measures of biological and cognitive aging over the course of 5 years during which our sample is in their 60’s, linked to rich behavioral data from the past 20-30 years. Our objective is to identify life milestones, such as retirement and the adult child’s moving out, as well as caregiver coping strategies that allow us to support well-being and mental health in family caregivers as they age.

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Mechanism of Par1c-mediated AMPA receptor trafficking and synaptic plasticity

RUTGERS BIOMEDICAL AND HEALTH SCIENCES, Newark, NJ

$43,714

F31

Grant Number: 5F31NS143354-02

Agency: NIH

Mechanism: Training, Individual

PI: Rebecca Shear

Start Date: 2025-04-01T00:00:00

Terms: <AMPA Receptors><ASD><Acceleration><Affinity><Ammon Horn><Antibodies><Assay><Autism><Autistic Disorder><Bioassay><Biochemical><Biological Assay><Biotinylation><Bipolar Affective Psychosis><Bipolar Disorder><Brain><Brain Nervous System><Cell Body><Cell membrane><Cells><Cellular biology><Chemicals><Cognition><Complex><Complex thinking><Consensus><Cornu Ammonis><Critical Thinking><Cytoplasmic Membrane><DNA Molecular Biology><Data><Dendritic Spines><Development><Early Infantile Autism><Electrophysiology><Electrophysiology (science)><Encephalon><Ensure><Environment><Evaluative Thinking><Evolution><Exhibits><FRET><Fluorescence Photobleaching Recovery><Fluorescence Recovery After Photobleaching><Fluorescence Resonance Energy Transfer><Fore-Brain><Forebrain><Förster Resonance Energy Transfer><GTP Phosphohydrolases><GTPases><Genes><Genetic><Guanosine Triphosphate Phosphohydrolases><Guanosinetriphosphatases><Hippocampus><Human><Image><Impairment><In Vitro><Infantile Autism><KO mice><Kanner's Syndrome><Kinases><Knock-out><Knock-out Mice><Knockout><Knockout Mice><Label><Learning><Long-Term Potentiation><Manic-Depressive Psychosis><Mediating><Memory><Mentorship><Mice><Mice Mammals><Micro-tubule><Microtubules><Modern Man><Molecular><Molecular Biology><Murine><Mus><Nerve Cells><Nerve Unit><Neural Cell><Neurocyte><Neurons><Neurophysiology / Electrophysiology><Neurosciences><Null Mouse><PHluorin><Pathway interactions><Phosphoproteins><Phosphorylation><Phosphotransferase Gene><Phosphotransferases><Physiology><Plasma Membrane><Prosencephalon><Protein Phosphorylation><Proteins><Pyramidal neuron><Receptor Protein><Regulation><Reproducibility><Research Resources><Resistance><Resources><Role><Science><Single Base Polymorphism><Single Nucleotide Polymorphism><Slice><Spinal Column><Spine><Surface><Synapses><Synaptic><Synaptic plasticity><Techniques><Testing><Tetanus><Training><Translating><Transphosphorylases><Vertebral column><Work><Writing><autism spectral disorder><autism spectrum disorder><autistic spectrum disorder><backbone><bipolar affective disorder><bipolar disease><bipolar illness><bipolar mood disorder><cell biology><clostridial tetanus><cognitive function><conditional knock-out><conditional knockout><dendrite spine><density><developmental><electrophysiological><extracellular><functional plasticity><guanosinetriphosphatase><hippocampal><hippocampal pyramidal neuron><imaging><in vivo><knock-down><knockdown><live cell image><live cell imaging><live cellular image><live cellular imaging><manic depressive disorder><manic depressive illness><multidisciplinary><mutant><neuronal><novel><optogenetics><oral communication><overexpress><overexpression><pathway><phospho-proteomics><phosphoproteomics><plasmalemma><post-natal development><postnatal development><postsynaptic><receptor><recruit><resistant><shRNA><short hairpin RNA><single nucleotide variant><skills><small hairpin RNA><social role><synapse><trafficking>

Abstract: Project Summary/Abstract The human brain is remarkably unique in its high capacity to learn and adapt to new environments, which has been attributed to the plasticity of synaptic connections. One form of synaptic plasticity, long-term potentiation (LTP), is associated with AMPA receptor trafficking to the surface of dynamic postsynaptic protrusions called dendritic spines. GluA2-deficient mice show enhanced LTP, supporting that regulation of synaptic surface GluA2 levels is important for LTP expression. However, the mechanism underlying GluA2 trafficking and how this translates to changes in synaptic plasticity is unclear. We have unexpectedly identified a significant increase in synaptic GluA2 in the hippocampi of forebrain-specific conditional knockout (cKO) of partitioning defective 1c (Par1c), also known as microtubule affinity-regulating kinase 1 (MARK1) mice. In addition, these mice exhibit reduced spine formation and impaired spatial learning. This suggests a potential role for Par1c in synaptic plasticity and cognitive functions through regulation of GluA2 trafficking. Importantly, genetic evidence supports that Par1c functions in higher level cognition. Single nucleotide polymorphisms (SNPs) in MARK1 have been associated with autism spectrum disorder (ASD) and bipolar disorder. Furthermore, MARK1 is highly expressed in forebrain pyramidal neurons and exhibits human-specific accelerated evolution, suggesting its importance in the development of cognition. However, the role of Par1c in AMPA receptor trafficking and synaptic plasticity remains unknown. Considering Par1c cKO mice show a significant increase in synaptic GluA2, we hypothesize that Par1c promotes synaptic plasticity by limiting GluA2 trafficking to the spine surface. When Par1c is knocked out, there will be increased synaptic incorporation of GluA2-containing AMPA receptors, leading to reduced spine density and impaired learning. Interestingly, unbiased phosphoproteomic analysis of Par1c cKO hippocampi revealed 7 of 17 significantly dysregulated proteins are associated with endocytic trafficking. Thus, Aim 1 will test the hypothesis that Par1c regulates GluA2 trafficking through phosphorylation of a potential novel target of Par1c identified through phosphoproteomic screen. Aim 2 will determine if synaptic plasticity induction requires Par1c activation using a novel, synaptic-targeted photoactivatable Par1c. The proposed work will elucidate the role of Par1c in regulating AMPA receptor trafficking and synaptic plasticity. Importantly, this project will train the applicant in multidisciplinary techniques including molecular biology, biochemical assays, FRET and FRAP imaging, primary neuronal cultures, and electrophysiology. It will also provide opportunities for the development of critical thinking, written and oral communication skills, and the execution of rigorous and reproducible science. The thorough mentorship and resources available to the applicant combined with her extensive and interdisciplinary neuroscience background will ensure her development into a successful, independent scientific professional.

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Microbiome Modulation of Visual System Development

UNIVERSITY OF OREGON, EUGENE, OR

$81,580

F32

Grant Number: 5F32EY035578-03

Agency: NIH

Mechanism: Training, Individual

PI: David M. James

Start Date: 2024-04-01T00:00:00

Terms: <AD/HD><ADHD><ASD><Ablation><Anatomic Sites><Anatomic structures><Anatomy><Anterior Quadrigeminal Body><Antimorphic mutation><Attention deficit hyperactivity disorder><Autism><Autistic Disorder><Automobile Driving><Behavior><Behavioral><Bioinformatics><Biologic Models><Biological Models><Brachydanio rerio><Brain><Brain Nervous System><CNS Nervous System><Cell Body><Cell Communication and Signaling><Cell Signaling><Cell secretion><Cells><Cellular Secretion><Central Nervous System><Communication><Complex><Connector Neuron><Cranial Nerve X><Cues><Danio rerio><Data><Development><Diagnosis><Dominant Negative><Dominant-Negative Mutant><Dominant-Negative Mutation><Dysfunction><Early Infantile Autism><Encephalon><Enteroendocrine Cell><Foundations><Functional disorder><GI microbiome><Germ-Free><Glycohydrolases><Glycosidases><Glycoside Hydrolases><Gnotobiotic><Gnotobiotics><Goals><Gut Epithelium><Health><Human><Individual><Infantile Autism><Intercalary Neuron><Intercalated Neurons><Interneuron function><Interneurons><Internuncial Cell><Internuncial Neuron><Intervention><Intestinal><Intestines><Intracellular Communication and Signaling><Kanner's Syndrome><Knowledge><Larva><Link><Location><Mediating><Model System><Modeling><Modern Man><Molecular><Molecular Weight><Nature><Nerve Cells><Nerve Unit><Neural Cell><Neural Development><Neuraxis><Neurocyte><Neurodevelopmental Disorder><Neurological Development Disorder><Neurons><Neurosciences><Optic Tectum><Outcome><Output><Pathway interactions><Peripheral><Phenotype><Photic Stimulation><Physiopathology><Play><Pneumogastric Nerve><Population><Predominantly Hyperactive-Impulsive Type Attention-Deficit Disorder><Predominantly Hyperactive-Impulsive Type Hyperactivity Disorder><Research><Role><Schizophrenia><Schizophrenic Disorders><Sensory><Shewanella><Sight><Signal Pathway><Signal Transduction><Signal Transduction Systems><Signaling><Superior Colliculus><Swimming><Systems Development><TLR protein><Tenth Cranial Nerve><Testing><Toll-Like Receptor Family Gene><Toll-like receptors><Vagus Nerve><Vagus nerve structure><Vision><Visual><Visual Stimulation><Visual System><Work><Zebra Danio><Zebra Fish><Zebrafish><autism spectral disorder><autism spectrum disorder><autistic spectrum disorder><bacteria in the gut><biological signal transduction><bowel><cell type><co-morbid><co-morbidity><comorbidity><dementia praecox><developmental><digestive tract microbiome><driving><dysbacteriosis><dysbiosis><dysbiotic><effective therapy><effective treatment><enteric microbiome><gastrointestinal epithelium><gastrointestinal microbiome><gut bacteria><gut microbiome><gut-associated microbiome><host microbe association><host microbe relationship><host-associated microbes><host-associated microbial communities><host-associated microbiota><host-associated microorganisms><host-microbe interactions><host-microbial interactions><host-microorganism interactions><intestinal biome><intestinal microbiome><microbial><microbial consortia><microbial flora><microbial imbalance><microbial products><microbiome><microbiota><microflora><multispecies consortia><mutant><nervous system development><neural><neurodevelopment><neurodevelopmental disease><neuronal><pathophysiology><pathway><prevent><preventing><response><schizophrenic><social role><superior colliculus Corpora quadrigemina><symbiont><vision development><visual development><visual function><visual process><visual processing><visual stimulus><visual system development><visual tectum>

Abstract: PROJECT SUMMARY Visual system dysfunction is a common and debilitating comorbidity for individuals diagnosed with a variety of neurodevelopmental disorders (NDDs), including autism spectrum disorder (ASD), schizophrenia, and attention deficit hyperactivity disorder. The microbiome is emerging as an important determinant of brain development, and recent research links these NDDs to intestinal dysbiosis, suggesting that a normal microbiome is a necessary component of typical brain neurodevelopment and function. To further connect these issues, microbial dysbiosis is also frequently associated with visual system dysfunction, yet practically nothing is known about the mechanisms by which the microbiota impacts visual system development. Therefore, a greater understanding of the dynamics between host and microbiome, including the specific cellular pathways and microbial products influencing neurodevelopment, is needed before effective treatments can be pursued. In this proposal, I will test the hypothesis that normal development of the visual system depends on sensing of specific secreted bacterial factors by specific cell types that mediate communication between the intestinal microbiome and the brain. To accomplish this, I will use the gnotobiotic zebrafish model to investigate how the microbiome interacts with intestinal cells and peripheral neurons to impact early visual neurodevelopment. This is a simple but powerful model system because it allows us to test the role that individual bacterial species and their byproducts play in neurodevelopment. I will use three approaches to determine the role specific host cell types and secreted bacterial products play in visual system development and its downstream behavioral output. Aim 1 tests the hypothesis that the microbiota is required for the normal development and function of a set of superficial interneurons involved in prey capture behavior. Aim 2 investigates the role of gut epithelial sensory cells and the vagus nerve in sensing bacterial products and relaying this information to promote visual system development. In Aim 3, I will identify the active product secreted from a gut bacterium that is sufficient to promote visual system development. These approaches allow an unbiased identification of the anatomical locations, cell types, and signaling pathways that relay microbial cues required for normal development of the visual system and its behavioral outputs. This work is significant because it lays the foundation for understanding mechanisms behind visual comorbidities associated with neurodevelopmental disorders like ASD, and ultimately serves to better inform intervention and treatment, and to one day prevent these complex NDDs and their associated comorbidities.

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How to Read NIH Funding Trends

NIH funding trends show how many grants were awarded and how much money was allocated to a research area over time. A rising project count usually means growing interest from both applicants and review panels, while a flat or declining count may reflect shifting priorities, terminology changes, or consolidation into larger awards.

When you search a keyword on this page, the tool queries NIH RePORTER for all projects matching that term across the years you select. The results are grouped by fiscal year and displayed as line charts (project count), bar charts (total funding), and scatter plots (average award size). Together, these views help you understand whether a field is expanding, contracting, or holding steady.

It is important to compare at least five years of data before drawing conclusions. A single-year spike or dip can reflect reporting delays, one-time initiatives such as ARRA or COVID supplemental funding, or changes in how NIH categorizes projects. The trend interpretation panel above the charts provides an automated summary to help you contextualize the numbers.

What Affects NIH Funding Patterns

Several factors drive year-to-year changes in NIH funding for any given topic. Congressional appropriations set the overall NIH budget, which then gets distributed across 27 institutes and centers. Each institute publishes funding opportunity announcements that signal which research areas they want to support. When an institute increases its emphasis on a topic, more investigators apply and more awards are made.

Terminology evolution also plays a role. A field that was once called "gene therapy" may now appear under "cell and gene therapy" or "genetic medicine." If you search only one term, you may miss related projects that use updated nomenclature. Try searching multiple related terms and comparing the results to get a fuller picture.

External events such as public health emergencies can cause rapid shifts. During the COVID-19 pandemic, NIH redirected significant resources toward infectious disease research, which temporarily reduced funding in other areas. Understanding these context-dependent shifts prevents misreading a short-term dip as a permanent decline in interest.

Using Trend Data in Grant Applications

Trend data can strengthen the significance section of your grant application. If you can show that NIH investment in your research area has grown steadily over the past five years, reviewers are more likely to see your project as aligned with current priorities. Conversely, if funding is declining, you may need to frame your proposal in a way that connects to a growing adjacent area.

Use the opportunity landscape plot on this page to identify which institutions and agencies are most active in your area. This information helps you target the right NIH institute for your application and identify potential collaborators or letter-of-support writers at well-funded institutions.

Remember that trends are one input among many. A growing field also means more competition, while a niche area with stable funding may offer better odds for a well-positioned application. Pair trend analysis with study section preferences, recent RFA/PA announcements, and conversations with program officers for the most complete picture.

Frequently Asked Questions About NIH Trends

How often is the trend data updated?

The data comes from NIH RePORTER, which updates as new awards are processed. There can be a lag of several weeks between an award decision and its appearance in public records. Our tool queries the API in real time, so you always see the latest available data.

Why does the project count differ from what I see on NIH RePORTER?

Differences can arise from search scope, keyword matching, and fiscal year boundaries. Our tool searches project titles, abstracts, and terms fields. Direct NIH RePORTER searches may use different default fields or include subprojects that we filter out for clarity.

Can I compare multiple keywords at once?

This page supports one keyword per search. To compare topics side by side, use the Compare Topics tool, which shows overlay charts for 2-3 keywords with the same year range.

What do the bubble sizes mean in the scatter plot?

Bubble size represents total funding for that year. Larger bubbles indicate years with higher overall investment. The vertical position shows average award size, so a large bubble high on the chart means both high total funding and high per-project awards.

What these charts are for

Trend charts help you see whether a topic has sustained NIH activity, not whether a single future application will definitely be funded.

Use them to understand direction, institute attention, and mechanism mix before you make a strategic decision.

Avoid common misreads

A single-year drop can reflect terminology changes, reporting lag, or normal cycle variation. Compare multiple years and recent awards together.

For a deeper explanation, read Understanding NIH Grant Trends.

Recommended next step

After reviewing a trend, open the weekly award feed or PI search for the same keyword. That confirms whether the same signal appears in current project data.

Methodology details are documented in Data & Methodology.

Related guides

Read these guides to interpret what the trend lines actually mean before acting on them.

Data Analysis11 min read

Understanding NIH Grant Trends: What the Data Tells You and What It Does Not

A methodological guide to reading NIH funding trends responsibly, comparing years, and avoiding false conclusions from noisy data.

Read guide
Data Analysis11 min read

How to Use NIH Trend Data to Scout Emerging Research Opportunities

Learn how to read NIH funding trend data without overreacting to noise, and use it to scout stronger research, collaboration, and job opportunities.

Read guide
Data Analysis12 min read

How to Use Recent NIH Award Data to Time Your Application

A practical workflow for reading recent NIH awards, funding trends, and institute behavior to pick a stronger submission cycle — without overreacting to noise.

Read guide
Funding Strategy24 min read

Understanding NIH Funding Trends: How to Position Your Research for Success 2025

How to use NIH funding patterns to position a project, choose institutes, and avoid overreading noisy trend shifts.

Read guide

Featured Research Topics — Last 12 Months

A snapshot of NIH activity across high-interest research areas, drawn from the public RePORTER feed. Counts and example awards refresh daily. Click any topic to open a full trend analysis.

Alzheimer's disease

Neurodegeneration, biomarkers, and disease-modifying therapies.

3,931 NIH awards in the last 12 months

Recent example awards

  • CONGAS: "Caribbean Omics 'N' Genomics for Alzheimer Study"
    Carlos Cruchaga · WASHINGTON UNIVERSITY, MO · $101,153 · Feb 25, 2026
  • CONGAS: "Caribbean Omics 'N' Genomics for Alzheimer Study"
    Carlos Cruchaga · WASHINGTON UNIVERSITY, MO · $3,086,339 · Feb 19, 2026
  • Alzheimer Disease Genetic Analysis to Identify Potential Therapeutic Targets (ADAPTT)
    Jonathan Haines · CASE WESTERN RESERVE UNIVERSITY, OH · $1,256,627 · Feb 4, 2026
See full trend for Alzheimer's disease →

CRISPR & gene editing

Therapeutic gene editing, base editing, and prime editing.

3,603 NIH awards in the last 12 months

Recent example awards

  • CRISPR for tauopathy
    Claire Clelland · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, CA · $680,792 · Jan 30, 2026
  • Orthogonal CRISPR GEMMs
    MICHAEL MCMANUS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO, CA · $629,170 · Jan 26, 2026
  • Asymmetric CRISPR Approach for Nucleic Acid Quantification
    Changchun Liu · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT, CT · $643,849 · Mar 30, 2026
See full trend for CRISPR & gene editing →

Cancer immunotherapy

Checkpoint inhibitors, CAR-T, TIL therapy, and beyond.

598 NIH awards in the last 12 months

Recent example awards

  • Cancer Immunotherapy: Basic Mechanisms Informing Clinical Applications & Combinations
    TERRY SHEPPARD · KEYSTONE SYMPOSIA, CO · $5,000 · Mar 3, 2026
  • Gut Microbiome and Cancer Immunotherapy Outcomes in Advanced Renal Cell Carcinoma
    Veronika Fedirko · UNIVERSITY OF TX MD ANDERSON CAN CTR, TX · $927,329 · Mar 3, 2026
  • The GPR171 pathway in cancer immunotherapy
    Yuwen Zhu · UNIVERSITY OF COLORADO DENVER, CO · $355,706 · Apr 2, 2026
See full trend for Cancer immunotherapy →

GLP-1 & metabolic disease

Diabetes, obesity, and weight-loss therapeutic mechanisms.

236 NIH awards in the last 12 months

Recent example awards

  • GLP-1 Agonists for Preventing Alzheimer's Disease in Mild Cognitive Impairment
    Xiaomo Xiong · UNIVERSITY OF CINCINNATI, OH · $324,000 · Feb 5, 2026
  • Remote Loading of Melanocortin and GLP-1 Peptides in Polymers for Treatment of Obesity
    STEVEN SCHWENDEMAN · UNIVERSITY OF MICHIGAN AT ANN ARBOR, MI · $231,000 · Apr 17, 2026
  • Real world impact of glucagon-like peptide receptor agonist (GLP-1 RA) use on older adults
    JENNIFER ST SAUVER · MAYO CLINIC ROCHESTER, MN · $443,850 · Mar 13, 2026
See full trend for GLP-1 & metabolic disease →

Long COVID

Post-acute sequelae and chronic infection-driven illness.

124 NIH awards in the last 12 months

Recent example awards

  • Lymphotoxin-dependent control of long COVID
    Alexei Tumanov · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER, TX · $234,715 · Feb 13, 2026
  • REVERSE-Long COVID: A Multicenter Randomized, Placebo-Controlled Clinical Trial of Immunomodulation (with Baricitinib) for Long COVID Related ADRD
    E ELY · VANDERBILT UNIVERSITY MEDICAL CENTER, TN · $6,778,156 · Feb 6, 2026
  • The neuroimmune mechanism of SARS-CoV-2 on synaptic transmission and plasticity
    Jianyang Du · UNIVERSITY OF TENNESSEE HEALTH SCI CTR, TN · $385,080 · Dec 10, 2025
See full trend for Long COVID →