ABSTRACT
We describe an approach for designing high-affinity small molecule-binding proteins poised for downstream sensing. We use deep learning-generated pseudocycles with repeating structural units surrounding central binding pockets with widely varying shapes that depend on the geometry and number of the repeat units. We dock small molecules of interest into the most shape complementary of these pseudocycles, design the interaction surfaces for high binding affinity, and experimentally screen to identify designs with the highest affinity. We obtain binders to four diverse molecules, including the polar and flexible methotrexate and thyroxine. Taking advantage of the modular repeat structure and central binding pockets, we construct chemically induced dimerization systems and low-noise nanopore sensors by splitting designs into domains that reassemble upon ligand addition.
Subject(s)
Deep Learning , Protein Binding , Proteins , Small Molecule Libraries , Binding Sites , Ligands , Methotrexate/chemistry , Molecular Docking Simulation , Nanopores , Protein Multimerization , Proteins/chemistry , Small Molecule Libraries/chemistry , Thyroxine/chemistryABSTRACT
Acute Pancreatitis (AP) is associated with high mortality and current treatment options are limited to supportive care. We found that blockade of activin A (activin) in mice improves outcomes in two murine models of AP. To test the hypothesis that activin is produced early in response to pancreatitis and is maintained throughout disease progression to stimulate immune cells, we first performed digital spatial profiling (DSP) of human chronic pancreatitis (CP) patient tissue. Then, transwell migration assays using RAW264.7 mouse macrophages and qPCR analysis of "neutrophil-like" HL-60 cells were used for functional correlation. Immunofluorescence and western blots on cerulein-induced pancreatitis samples from pancreatic acinar cell-specific Kras knock-in (Ptf1aCreER™; LSL-KrasG12D) and functional WT Ptf1aCreER™ mouse lines mimicking AP and CP to allow for in vivo confirmation. Our data suggest activin promotes neutrophil and macrophage activation both in situ and in vitro, while pancreatic activin production is increased as early as 1 h in response to pancreatitis and is maintained throughout CP in vivo. Taken together, activin is produced early in response to pancreatitis and is maintained throughout disease progression to promote neutrophil and macrophage activation.
Subject(s)
Activins , Cell Movement , Macrophages , Neutrophil Activation , Pancreatitis , Signal Transduction , Animals , Activins/metabolism , Mice , Humans , Macrophages/metabolism , Macrophages/immunology , Pancreatitis/metabolism , Pancreatitis/pathology , Neutrophils/metabolism , Neutrophils/immunology , Disease Models, Animal , RAW 264.7 Cells , Macrophage Activation , HL-60 Cells , Pancreatitis, Chronic/metabolism , Pancreatitis, Chronic/pathology , MaleABSTRACT
A general method for designing proteins to bind and sense any small molecule of interest would be widely useful. Due to the small number of atoms to interact with, binding to small molecules with high affinity requires highly shape complementary pockets, and transducing binding events into signals is challenging. Here we describe an integrated deep learning and energy based approach for designing high shape complementarity binders to small molecules that are poised for downstream sensing applications. We employ deep learning generated psuedocycles with repeating structural units surrounding central pockets; depending on the geometry of the structural unit and repeat number, these pockets span wide ranges of sizes and shapes. For a small molecule target of interest, we extensively sample high shape complementarity pseudocycles to generate large numbers of customized potential binding pockets; the ligand binding poses and the interacting interfaces are then optimized for high affinity binding. We computationally design binders to four diverse molecules, including for the first time polar flexible molecules such as methotrexate and thyroxine, which are expressed at high levels and have nanomolar affinities straight out of the computer. Co-crystal structures are nearly identical to the design models. Taking advantage of the modular repeating structure of pseudocycles and central location of the binding pockets, we constructed low noise nanopore sensors and chemically induced dimerization systems by splitting the binders into domains which assemble into the original pseudocycle pocket upon target molecule addition.
ABSTRACT
BACKGROUND: On March 20, 2020, the Argentine Ministry of Health imposed a mandatory quarantine, which still persists. AIM: The aim of this study is to determine the variation in the prevalence of depression since the beginning of the quarantine and the evolution of risk factors, with special emphasis on the population's concerns. METHODS: A longitudinal study was carried out using a digital questionnaire disseminated in social networks. The first stage (T1) was carried out from March 29 to April 12 and the second stage (T2) from May 23 to June 12, 2020. The prevalence of depression was measured using the 9-item Patients Health Questionnaire (PHQ-9). RESULTS: The prevalence of moderate/severe depression increased from 24.3% in T1 to 47.8% in T2 (p: 0.000). Risk factors increased significantly: age 18-27, female, primary and secondary school, smoking and having a poor sleep quality (p: 0.000). The concerns about 'a family member getting sick' (OR: 1.28; CI: 1.04-1.58; p: 0.016), 'changes at work' (OR: 2.24; CI: 1.79-2.81; p: 0.000), 'running out of money' (OR: 1.43; CI: 1.20-1.71; p: 0.000) and 'being unemployed' (OR: 2.99; CI: 2.55-3.52; p: 0.000) were risk factors for depression. On the other hand, the concern about 'getting the virus' (OR: 0.73; CI: 0.61-0.87; p: 0.001) was not a risk factor. CONCLUSIONS: The extended quarantine in Argentina is associated with an increase in the prevalence of depression; the high impact of economic and social concerns on mental health must be considered in order to avoid long-term effects.
Subject(s)
COVID-19 , Depression , Adolescent , Adult , Anxiety , Argentina/epidemiology , Depression/epidemiology , Female , Humans , Longitudinal Studies , SARS-CoV-2 , Young AdultABSTRACT
OBJECTIVES: Currently, the exact reasons why different α-synucleinopathies exhibit variable pathologies and phenotypes are still unknown. A potential explanation may be the existence of distinctive α-synuclein conformers or strains. Here, we intend to analyze the seeding activity of dementia with Lewy bodies (DLB) and Parkinson's disease (PD) brain-derived α-synuclein seeds by real-time quaking-induced conversion (RT-QuIC) and to investigate the structure and morphology of the α-synuclein aggregates generated by RT-QuIC. METHODS: A misfolded α-synuclein-enriched brain fraction from frontal cortex and substantia nigra pars compacta tissue, isolated by several filtration and centrifugation steps, was subjected to α-synuclein/RT-QuIC analysis. Our study included neuropathologically well-characterized cases with DLB, PD, and controls (Ctrl). Biochemical and morphological analyses of RT-QuIC products were conducted by western blot, dot blot analysis, Raman spectroscopy, atomic force microscopy, and transmission electron microscopy. RESULTS: Independently from the brain region, we observed different seeding kinetics of α-synuclein in the RT-QuIC in patients with DLB compared to PD and Ctrl. Biochemical characterization of the RT-QuIC product indicated the generation of a proteinase K-resistant and fibrillary α-synuclein species in DLB-seeded reactions, whereas PD and control seeds failed in the conversion of wild-type α-synuclein substrate. INTERPRETATION: Structural variances of α-synuclein seeding kinetics and products in DLB and PD indicated, for the first time, the existence of different α-synuclein strains in these groups. Therefore, our study contributes to a better understanding of the clinical heterogeneity among α-synucleinopathies, offers an opportunity for a specific diagnosis, and opens new avenues for the future development of strain-specific therapies. Ann Neurol 2019;85:691-703.
Subject(s)
Brain Chemistry/physiology , Brain/metabolism , Synucleinopathies/metabolism , alpha-Synuclein/analysis , alpha-Synuclein/metabolism , Aged , Aged, 80 and over , Brain/pathology , Female , Humans , Male , Protein Isoforms/analysis , Protein Isoforms/metabolism , Spectrum Analysis, Raman/methods , Synucleinopathies/pathologyABSTRACT
Frontotemporal lobar degeneration caused by GRN mutations is mainly associated with a TDP-43 type A proteinopathy. We present a family with autosomal dominant frontotemporal lobar degeneration caused by a novel GRN nonsense mutation (c.5G>A: p.Trp2*) in which the proband's brain also showed prominent glial tauopathy consistent with an aging-related tau astrogliopathy. Astrocytic tauopathy, 4R(+) and 3R(-) immunoreactive, was characterized by thorn-shaped astrocytes present in subpial, subependymal, and perivascular areas, and in gray matter; plus granular or fuzzy tau immunoreactivity in astrocytic processes in gray matter, either solitary or clustered in different regions. Some neurofibrillary tangles and pretangles, both 3R and 4R(+), were present in the medial temporal lobe but did not exhibit the characteristic distribution of Alzheimer's type pathology. This 4R-tau aging-related tau astrogliopathy is likely a co-occurring pathology, although an interaction between progranulin and tau proteins within the neurodegenerative process should not be ruled out.
Subject(s)
Astrocytes/metabolism , Astrocytes/pathology , Codon, Nonsense/genetics , Frontotemporal Dementia/genetics , Genetic Association Studies , Progranulins/genetics , Tauopathies/genetics , tau Proteins/metabolism , Aged , Aged, 80 and over , Brain/metabolism , Brain/pathology , Female , Genes, Dominant/genetics , Humans , Male , Middle Aged , Neurofibrillary Tangles/genetics , Neurofibrillary Tangles/metabolism , Tauopathies/metabolism , Tauopathies/pathologyABSTRACT
A controversy exists as to whether de novo-generated neuronal tetraploidy (dnNT) occurs in Alzheimer's disease. In addition, the presence of age-associated dnNT in the normal brain remains unexplored. Here we show that age-associated dnNT occurs in both superficial and deep layers of the cerebral cortex of adult mice, a process that is blocked in the absence of E2F1, a known regulator of cell cycle progression. This blockage correlates with improved cognition despite compromised neurogenesis in the adult hippocampus was confirmed in mice lacking the E2f1 gene. We also show that the human cerebral cortex contains tetraploid neurons. In normal humans, age-associated dnNT specifically occurs in the entorhinal cortex whereas, in Alzheimer, dnNT also affects association cortices prior to neurofibrillary tangle formation. Alzheimer-associated dnNT is likely potentiated by altered amyloid precursor protein (APP) processing as it is enhanced in the cerebral cortex of young APPswe/PS1deltaE9 mice, long before the first amyloid plaques are visible in their brains. In contrast to age-associated dnNT, enhanced dnNT in APPswe/PS1deltaE9 mice mostly affects the superficial cortical layers. The correlation of dnNT with reduced cognition in mice and its spatiotemporal course, preceding and recapitulating Alzheimer-associated neuropathology, makes this process a potential target for intervention in Alzheimer's disease.