Synonym |
Amyloid beta-Protein (29-40) |
Species |
Human |
Protein Accession |
P05067 |
Purity |
≥ 95% |
Endotoxin Level |
< 1.0 EU per µg |
Biological Activity |
Not specified |
Expression System |
Chemical synthesis |
Fusion Tag |
None |
Predicted Molecular Mass |
1433.7 Da |
Formulation |
Lyophilized from a 0.22 µm filtered solution of Acetonitrile and TFA |
Reconstitution |
Centrifuge vial before opening. Reconstitute in 100 µl of TFA or DMSO to a concentration of 1
mg/ml |
Storage & Stability |
Store lyophilized protein at -20°C. Aliquot reconstituted protein and store at -20°C. Avoid
repeated freeze-thaw cycles. |
FAQ
What is Amyloid β-Protein (29-40), and how is it relevant to scientific research?
Amyloid
β-Protein (29-40), also known as Aβ (29-40), is a fragment of the larger amyloid precursor protein (APP)
that is of significant interest in scientific research, particularly in relation to Alzheimer’s disease.
This specific peptide consists of amino acids 29 through 40 of the full-length amyloid β-protein, which
is known to aggregate and form insoluble fibrils. These fibrils are a primary component of the amyloid
plaques observed in the brains of individuals with Alzheimer’s disease. Understanding the properties and
behavior of Aβ (29-40) is crucial because it helps researchers potentially unravel the complex
mechanisms behind plaque formation, which is a hallmark of Alzheimer's pathology.
One of the
reasons Aβ (29-40) is closely studied is its ability to form oligomers and fibrils under certain
conditions, which mimics the pathological state found in Alzheimer’s. These studies allow researchers to
explore how these peptides interact with each other and form the larger aggregates that disrupt neuronal
function. This helps in understanding how plaques contribute to the death of neurons and the subsequent
cognitive decline seen in Alzheimer’s patients.
Furthermore, by investigating Aβ (29-40),
researchers gain insights into potential therapeutic strategies aimed at preventing the aggregation of
these peptides. This could involve designing molecules that either bind to Aβ (29-40) and inhibit its
aggregation or promote the clearance of these aggregates from the brain. Understanding this process
could lead to groundbreaking treatments that alter the progression of Alzheimer's
disease.
Additionally, Aβ (29-40) can serve as a valuable tool in the development of diagnostic
methods. Since this peptide mimics the pathological aggregation found in Alzheimer’s patients, it
provides an opportunity to develop imaging agents that can detect the presence of amyloid plaques in the
brain through non-invasive imaging techniques. This would provide earlier and more accurate diagnoses,
potentially leading to more effective interventions.
Overall, the study of Amyloid β-Protein
(29-40) offers a window into both the fundamental biology of amyloid formation and its implications for
neurodegenerative diseases, making it a cornerstone of ongoing research efforts in neuroscience and
therapeutic development.
How does Amyloid β-Protein (29-40) contribute to the understanding of
Alzheimer's disease pathology?
Understanding the role of Amyloid β-Protein (29-40) in Alzheimer's
disease pathology provides vital insights into one of the most devastating forms of neurodegeneration.
Alzheimer's disease is characterized by the formation of amyloid plaques in the brain, and Aβ (29-40)
plays a critical part in this process. The peptide, as a segment of the amyloid precursor protein,
undergoes enzymatic cleavage and is involved in forming oligomers and fibrils - processes that are a
direct focus in Alzheimer's research.
There is significant evidence that the aggregation of Aβ
peptides, including Aβ (29-40), leads to the formation of soluble oligomers, which are toxic to neurons.
These oligomers interfere with neuronal communication by disrupting synaptic function, and this synaptic
dysfunction is one of the earliest signs of Alzheimer’s disease. Understanding these small aggregates is
crucial because they seem to have a more direct impact on neuronal health than the larger insoluble
plaques, which have been the traditional focus.
Moreover, the formation of these amyloid
aggregates initiates a cascade of downstream effects, which includes promoting tau hyperphosphorylation,
neuroinflammation, and oxidative stress. Each of these factors contributes to the broader pathology of
Alzheimer’s disease. By studying Aβ (29-40), researchers aim to understand the precise mechanisms by
which these pathways are activated and how they culminate in neurodegeneration.
In addition, Aβ
(29-40) enables researchers to study the cross-seeding of amyloid fibrils. Cross-seeding refers to the
process by which aggregates of different amyloidogenic proteins can promote the aggregation of one
another, suggesting a commonality in the fundamental aggregation processes of different
neurodegenerative diseases. Understanding these interactions can lead to broader insights into protein
misfolding disorders.
The ongoing study of Aβ (29-40) also plays a critical role in drug
development. By dissecting the molecular interactions within the amyloid cascade, researchers can
identify potential intervention points where therapeutic agents can be most effective. For instance, the
development of beta-secretase and gamma-secretase inhibitors aims to prevent the initial formation of Aβ
peptides, thereby halting plaque formation before it begins.
In summary, the role of Amyloid
β-Protein (29-40) in Alzheimer’s disease provides a significant model for understanding the disease's
pathology. Its study aids not only in deciphering the complex events leading to neuronal damage but also
in pioneering potential therapeutic interventions aimed at ameliorating these devastating
effects.
What experimental approaches are used to study Amyloid β-Protein (29-40)?
To
investigate Amyloid β-Protein (29-40) effectively, a multitude of experimental approaches have been
developed, each contributing unique insights into its properties and behavior. Given the peptide’s
relevance to Alzheimer’s disease, a comprehensive suite of methods is employed, ranging from biochemical
and biophysical techniques to advanced imaging and computational modeling.
One of the primary
biochemical techniques used is circular dichroism (CD) spectroscopy. CD allows researchers to
characterize the secondary structure of Aβ (29-40) and observe changes as it transitions from monomeric
to aggregated forms. This technique provides insights into the conformational changes that occur during
oligomer and fibril formation, which are critical in understanding the pathogenicity of amyloid
aggregates.
Nuclear Magnetic Resonance (NMR) spectroscopy is another powerful tool employed in
the study of Aβ (29-40). NMR is used to determine the structure and dynamics of the peptide in solution.
This information helps elucidate the specific intermolecular forces and arrangements that lead to
aggregation. Through NMR, researchers can also identify specific residues that are involved in essential
interactions, which can be targeted in drug design.
In addition to spectroscopy, various imaging
techniques are utilized. Atomic force microscopy (AFM) and transmission electron microscopy (TEM) are
particularly valuable for visualizing the morphology of amyloid aggregates. These methods allow
researchers to observe the fibril formation and structural aspects of Aβ (29-40) aggregates at the
nanoscale, providing visual confirmation of the aggregation process that is inferred from other
data.
Fluorescence-based assays, including Thioflavin T (ThT) binding assays, are widely used to
monitor amyloid formation in real-time. ThT is a dye that exhibits enhanced fluorescence upon binding to
β-sheet rich amyloid structures, making it an excellent tool for tracking the kinetics of fibril
formation. This is crucial for identifying the conditions under which Aβ (29-40) tends to aggregate and
for assessing the efficacy of potential aggregation inhibitors.
Additionally, molecular dynamics
(MD) simulations have emerged as a significant computational approach to study Aβ (29-40). MD
simulations allow researchers to model the movements of atoms within the peptide and predict how it
might behave under various conditions. These simulations provide insights that complement experimental
data, offering a theoretical basis for understanding peptide aggregation on a molecular
level.
Overall, studying Amyloid β-Protein (29-40) through these various experimental approaches
offers a multifaceted understanding of its behavior. By combining insights from structure, dynamics, and
aggregation properties, researchers can make strides in translating these findings into clinical
applications focused on diagnosing and treating Alzheimer’s disease.
What role does Amyloid
β-Protein (29-40) play in drug discovery and development?
In drug discovery and development,
Amyloid β-Protein (29-40) serves as a critical model for understanding potential therapeutic
interventions aimed at treating or mitigating the effects of Alzheimer’s disease. The role of Aβ (29-40)
in drug development is multifaceted, encompassing target identification, mechanism elucidation, and
therapeutic screening.
One of the principal roles Aβ (29-40) plays in drug discovery is in the
identification and validation of drug targets. Since this peptide fragment is integral to the formation
of amyloid plaques, it serves as a direct target for therapeutics seeking to inhibit these pathological
processes. Researchers focus on understanding the interactions and conformational changes that drive Aβ
(29-40) aggregation to identify potential points of intervention. This knowledge can help design small
molecules or biologics that prevent these processes, thereby reducing plaque formation and its
associated toxic effects.
Furthermore, Aβ (29-40) is essential for elucidating the mechanisms
involved in amyloid aggregation and related neurotoxicity. By studying the precise pathways and
intermolecular interactions within Aβ (29-40), researchers can gain insights into the molecular basis of
its aggregation propensity and neurotoxic mechanisms. This detailed understanding enables the
development of drugs that can specifically target these pathways. For instance, preventing oligomer
formation or stabilizing non-toxic conformations of the peptide are strategies that can be explored
through studying Aβ (29-40).
The peptide also finds significant application in high-throughput
screening assays to test potential inhibitors of aggregation. Assays employing Aβ (29-40), such as
fluorescence-based methods, allow rapid assessment of thousands of compounds to identify leads that can
reduce aggregation or modulate toxic interactions. These screening methods are crucial for the initial
stages of drug discovery, enabling the rapid identification of promising candidates for further
development.
Moreover, researchers use Aβ (29-40) to study the kinetics and thermodynamics of
peptide aggregation, contributing to the rational design of drugs. By understanding these fundamental
properties, it becomes possible to design drugs that specifically target these facets of the aggregation
process. For example, kinetic stabilizers could be developed to selectively stabilize non-toxic forms of
Aβ, thereby preventing the formation of toxic species.
Finally, Aβ (29-40) is instrumental in the
post-discovery phases of drug development, including optimization and pre-clinical testing. The peptide
serves as a benchmark for evaluating the efficacy of drug candidates in biological assays and animal
models. These studies assess whether the compounds reduce amyloid burden or improve cognitive outcomes,
which are critical endpoints for clinical consideration.
In conclusion, Amyloid β-Protein (29-40)
is an invaluable component of the drug discovery and development pipeline for Alzheimer’s disease. Its
study not only informs target selection and mechanistic understanding but also facilitates the screening
and optimization of therapeutic agents, ultimately contributing to the development of effective
treatments for this debilitating disease.
How is Amyloid β-Protein (29-40) used in developing
diagnostic tools for Alzheimer's disease?
Amyloid β-Protein (29-40) is pivotal in the development
of diagnostic tools for Alzheimer’s disease, offering pathways to earlier detection and better
monitoring of disease progression. The importance of this peptide lies in its direct association with
amyloid plaque formation, a key pathological feature of Alzheimer’s. Diagnosis is crucial for timely
intervention and effective management of the disease, making Aβ (29-40) a significant focus
area.
One of the primary uses of Amyloid β-Protein (29-40) in diagnostics is the development of
imaging agents. Imaging modalities such as positron emission tomography (PET) rely on radiolabeled
compounds that can bind specifically to amyloid deposits in the brain. By understanding the structure
and binding properties of Aβ (29-40), researchers can design radiotracers that have high affinity and
specificity for amyloid plaques. These imaging agents, when used in PET scans, provide direct
visualization of plaque distribution and density, enabling clinicians to assess the extent of amyloid
pathology in vivo.
The peptide is also instrumental in the development of diagnostic assays that
measure amyloid levels in cerebrospinal fluid (CSF) or blood. Changes in the concentration and
composition of Aβ fragments, including those spanning the 29-40 region, serve as important biomarkers
for the disease. Research utilizing Aβ (29-40) aids in the standardization and validation of these
biomarker assays, which are crucial for early detection and monitoring disease progression. Sensitive
assays are necessary to detect subtle changes in Aβ levels, and the study of Aβ (29-40) contributes to
the refinement of techniques such as enzyme-linked immunosorbent assays (ELISAs) and mass
spectrometry-based methods.
Furthermore, Aβ (29-40) is integral to the development of biosensor
technologies. Biosensors offer the potential for non-invasive, rapid screening of Alzheimer's disease
through the detection of amyloid-related biomarkers. The study of the binding interactions of Aβ (29-40)
leads to the engineering of biosensors that can specifically detect this peptide, presenting a promising
avenue for advancing diagnostic capabilities.
Additionally, research into Aβ (29-40) enhances the
understanding of the diagnostic timeline of Alzheimer’s disease. By elucidating the kinetic properties
of Aβ aggregation, researchers can better estimate the timing of pathological changes relative to
clinical symptom onset. This knowledge is crucial in identifying the window during which diagnostic
interventions would be most effective.
Lastly, leveraging Aβ (29-40) in diagnostic tool
development provides insights for personalized medicine approaches. Understanding individual variations
in Aβ aggregation propensity or clearance mechanisms can lead to personalized diagnostic strategies that
tailor treatment plans based on specific patient profiles, enhancing therapeutic outcomes.
In
summary, Amyloid β-Protein (29-40) is central to the advancement of diagnostic tools for Alzheimer’s
disease. Its application extends from contributing to the development of advanced imaging agents and
biomarker assays to facilitating biosensor technologies and personalizing diagnostic approaches, thereby
playing a critical role in improving disease detection and management strategies.
What challenges
are associated with studying Amyloid β-Protein (29-40), and how are researchers addressing
them?
Studying Amyloid β-Protein (29-40) presents multiple challenges that researchers must
navigate to gain meaningful insights into amyloid pathophysiology and potential therapeutic
interventions for Alzheimer’s disease. These challenges span various aspects, including the peptide’s
intrinsic properties, experimental methodologies, and translational barriers from bench to
bedside.
One primary challenge is the inherent instability and aggregation propensity of Aβ
(29-40). The peptide’s tendency to rapidly form aggregates in vitro can complicate studies aimed at
understanding its fundamental properties. This aggregation makes it difficult to maintain Aβ (29-40) in
a soluble, monomeric state long enough to study its native structure and interactions. Researchers
address this by optimizing experimental conditions, such as pH and temperature adjustments, and using
stabilizing agents or modifications to hinder rapid aggregation and enable detailed
analysis.
Understanding the specific dynamics and kinetics of Aβ (29-40) aggregation is another
area of complexity. The process involves numerous transient intermediate states, which are often
challenging to capture with static techniques. To overcome this, researchers employ real-time methods
such as Thioflavin T fluorescence and advanced spectroscopic techniques that allow for monitoring the
aggregation process as it unfolds. Additionally, computational modeling and simulations provide insights
into aggregate dynamics that are not easily observed experimentally, offering a complementary
perspective to laboratory findings.
The heterogeneity of Aβ aggregates poses further challenges
in studying Aβ (29-40). Aggregates can vary widely in size, shape, and toxicity, and distinguishing
between physiologically relevant forms and artifacts of experimental conditions can be difficult. New
methodologies like single-molecule techniques and high-resolution imaging approaches such as
cryo-electron microscopy are helping researchers delineate the specific structural characteristics of
these aggregates, improving understanding of their pathological relevance.
Translating findings
from Aβ (29-40) studies into therapeutic or diagnostic advancements also poses significant hurdles.
There is often a gap between in vitro and in vivo observations, complicated by the complexity of the
human brain environment compared to simplified experimental systems. Addressing this challenge involves
employing more sophisticated model systems, including organoids and transgenic animal models, that
better recapitulate human amyloid pathology. These models enable researchers to assess the behavior and
impact of Aβ (29-40) in a context that more closely mirrors the human condition.
Additionally,
there are biochemical challenges linked to the specificity and selectivity of Aβ (29-40) in drug target
validation. Many therapeutic strategies have struggled with achieving sufficient specificity for Aβ
without affecting other physiological processes. To tackle this, researchers are increasingly using
structure-based drug design and high-throughput screening to identify compounds with high specificity
for Aβ interactions.
In summary, while challenges abound in the study of Amyloid β-Protein
(29-40), ongoing advances in experimental techniques, computational models, and translational research
approaches continue to equip scientists with the tools needed to overcome these obstacles. Through
persistent innovation and cross-disciplinary collaboration, researchers are steadily unraveling the
complexities of Aβ (29-40) to ultimately translate these insights into meaningful clinical applications.