System and method for protein corona sensor array for early detection of diseases

Abstract

The present disclosure provides sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

1 . A method of distinguishing states of a complex biological sample of a subject using a plurality of particles having surfaces with different physicochemical properties, wherein the method comprises:
 exposing the complex biological sample to the plurality of particles to permit binding of proteins of the complex biological sample to the plurality of particles, wherein a pattern of binding of proteins amongst the plurality of particles differs based on the physicochemical properties of the surfaces of the particles;   defining a biomolecule fingerprint representative of proteins that bind to the plurality of particles; and   associating the biomolecule fingerprint with a biological state of the subject.   
     
     
         2 . The method of  claim 1 , wherein the complex biological sample includes proteins and nucleic acids, and at least one of lipids and polysaccharides. 
     
     
         3 . The method of  claim 2 , wherein the complex biological sample is plasma. 
     
     
         4 . The method of  claim 1 , wherein the biomolecule fingerprint differs from a second biomolecule fingerprint of a complex biological sample from a second subject not expressing the biological state. 
     
     
         5 . The method of  claim 4 , wherein the biological state is a disease state of the subject. 
     
     
         6 . The method of  claim 5 , wherein the disease state is at least one of cancer, cardiovascular disease, endocrine disease, inflammatory disease, or a neurological disease. 
     
     
         7 . The method of  claim 6 , wherein the disease state is cancer and a cancer type is selected from the group consisting of: lung cancer, pancreas cancer, colon cancer, myeloma, myeloid leukemia, meningioma, glioblastoma, breast cancer, esophageal squamous cell carcinoma, gastric adenocarcinoma, prostate, bladder, ovarian, thyroid, neuroendocrine cancer, and combinations thereof. 
     
     
         8 . The method of  claim 7 , wherein the biomolecule fingerprint of the sample is indicative of the cancer type. 
     
     
         9 . The method of  claim 6 , wherein the disease state is a neurological disease and the neurological disease is selected from the group consisting of: Alzheimer's disease, brain tumors, epilepsy, Parkinson's disease, ALS, arteriovenous malformation, cerebrovascular disease, brain aneurysms, epilepsy, multiple sclerosis, Peripheral Neuropathy, Post-Herpetic Neuralgia, stroke, frontotemporal dementia, demyelinating disease, multiple sclerosis, Devic's disease, central pontine myelinolysis, progressive multifocal leukoencephalopathy, leukodystrophies, Guillain-Barre syndrome, progressing inflammatory neuropathy, Charcot-Marie-Tooth disease, chronic inflammatory demyelinating polyneuropathy, and anti-MAG peripheral neuropathy. 
     
     
         10 . The method of  claim 9 , wherein the disease state is a neurological disease and the neurological disease is Alzheimer's disease. 
     
     
         11 . The method of  claim 9 , wherein the biomolecule fingerprint of the sample is indicative of the neurological disease. 
     
     
         12 . The method of  claim 1 , wherein the step of defining a biomolecule fingerprint comprises separating at least a subset of the proteins from the plurality of particles. 
     
     
         13 . The method of  claim 12 , wherein the step of defining a biomolecule fingerprint further comprises identifying at least one of the proteins of the subset of the proteins separated from the plurality of particles. 
     
     
         14 . The method of  claim 13 , wherein identifying at least one of the proteins comprises conducting at least one of gel electrophoresis, liquid chromatography, mass spectrometry, NMR, FTIR, Circular Dichroism, Raman spectrometry, and a combination thereof. 
     
     
         15 . A sensor array comprising a plurality of particles having surfaces with different physicochemical properties, wherein proteins of a complex biological sample bind to the plurality of particles upon exposure of the complex biological sample to the plurality of particles, wherein a pattern of binding of the proteins amongst the plurality of particles depends on the physicochemical property of a surface of the particle. 
     
     
         16 - 27 . (canceled) 
     
     
         28 . A sensor array comprising a plurality of liposomes,
 wherein the plurality of liposomes differ in at least one protein-binding property defined by a lipid-based surface of each liposome;   wherein the lipid-based surface of each liposome contacts a subset of proteins of a sample at a lipid-protein interface, thereby binding the subset of proteins to produce a pattern of protein binding;   wherein the pattern of protein binding of a first liposome is different than the pattern of protein binding of a second liposome differing from the first liposome in said at least one protein-binding property.   
     
     
         29 . (canceled) 
     
     
         30 . (canceled)