MT-CPDs are compounds with activity against five or more biological targets, as defined in high-throughput screening studies. Below is a structured analysis of their properties and research findings.
The following table summarizes MT-CPD and ST-CPD distributions from mixed and biochemical assays :
Dataset Type | PD Threshold | MT-CPDs | ST-CPDs |
---|---|---|---|
Mixed | ≥5 | 2,858 | 15,839 |
Biochemical | ≥5 | 1,242 | 6,629 |
Biochemical | ≥3 | 3,468 | 11,793 |
PD = Promiscuity degree (number of targets a compound affects).
Recent studies reveal that:
Feature Subsets: MT-CPDs share structural features with ST-CPDs, enabling cross-prediction using machine learning models .
Diagnostic Tools: Explainable ML identifies critical molecular descriptors (e.g., aromatic rings, halogens) driving multi-target activity .
Meitnerium, a transactinide element, has no synthesized or characterized compounds due to its extreme radioactivity and short half-lives (e.g., Mt-278: 4.5 s; Mt-282: 67 s unconfirmed) .
No experimental bond enthalpies exist for meitnerium compounds. Theoretical tables for diatomic species (e.g., MtH, MtO) remain empty .
Metallothionein-I is one of four mammalian MT isoforms (MT-I through MT-IV), characterized by its high cysteine content and metal-binding capacity. MT-I and MT-II are often studied together (MT-I+II) as they share significant structural and functional similarities, particularly in the brain. Unlike MT-III and MT-IV which have more restricted tissue expression patterns, MT-I is more widely expressed across multiple tissues and is particularly responsive to stress conditions .
The primary distinguishing feature of MT-I is its inducibility in response to various stimuli including brain injury, inflammation, and oxidative stress. From a methodological perspective, researchers should note that studying MT-I in isolation from MT-II can be challenging due to their similar expression patterns and functional redundancy, which is why many studies examine them collectively as MT-I+II .
MT-I functions as a multipurpose neuroprotectant in the central nervous system through several key mechanisms:
Metal ion homeostasis - Primarily binding zinc and copper ions
Free radical scavenging - Protecting against oxidative stress
Immunomodulation - Inhibiting macrophages, T lymphocytes and their inflammatory mediators
Anti-apoptotic effects - Preventing neuronal cell death
Promotion of cell survival and proliferation - Enhancing cell cycle progression and mitosis
When designing experiments to study these functions, researchers should consider using multiple complementary approaches to assess each function separately. For instance, metal-binding capacity can be evaluated through atomic absorption spectroscopy, while anti-inflammatory functions might require immunological assays examining cytokine profiles and immune cell activation states .
MT-I expression is regulated by multiple transcriptional mechanisms, with metal response elements (MREs) playing a key role in its induction. Following brain injury, hepatic MT-I mRNA levels significantly increase within 24 hours, indicating rapid transcriptional activation . This regulation involves several elements:
Metal-responsive transcription factor-1 (MTF-1)
Antioxidant response elements (AREs)
Glucocorticoid response elements (GREs)
STAT (Signal Transducers and Activators of Transcription) binding sites
For studying transcriptional regulation of MT-I, quantitative reverse-transcriptase PCR (RT-PCR) has been effectively used to measure mRNA levels in various tissues following physiological challenges. When designing such experiments, researchers should include appropriate housekeeping genes as controls and consider the temporal dynamics of expression, as MT-I mRNA and protein levels may peak at different timepoints .
Based on established research protocols, the optimal methods for measuring MT-I protein levels include:
Enzyme-linked immunosorbent assay (ELISA) using validated antibodies like UC1MT
Western blotting with isoform-specific antibodies
Immunohistochemistry for tissue localization
Mass spectrometry for precise quantification and post-translational modification analysis
When implementing ELISA for MT-I detection, validation with appropriate controls is critical. Researchers have successfully used displacement curves constructed with tissues from MT-I/II knockout (MT-I/II−/−) mice to validate ELISA specificity . This approach helps distinguish genuine MT-I signal from background or cross-reactivity.
For temporal studies, it's important to note that protein expression may lag behind mRNA induction. For example, after brain injury, hepatic MT-I/II protein levels weren't significantly increased until 3 days post-injury, despite mRNA increases within 24 hours. Maximum protein levels were observed at 7 days post-injury, highlighting the importance of extended timepoint analysis .
Differentiating between MT-I and MT-II presents significant challenges due to their structural similarity and often overlapping expression patterns. Methodological approaches to address this include:
Isoform-specific RT-PCR primers targeting unique regions of MT-I and MT-II mRNAs
High-resolution chromatography techniques coupled with mass spectrometry
Isoform-specific antibodies (though true specificity should be validated)
Genetic approaches using isoform-specific knockout models
When designing experiments requiring isoform specificity, researchers should employ multiple complementary techniques and include appropriate controls. For instance, tissues from MT-I/II knockout mice serve as excellent negative controls for validating antibody specificity . Additionally, researchers should be conscious that many studies report combined MT-I+II data due to these technical challenges, which should be considered when interpreting literature findings.
Key mouse models available for MT-I research include:
MT-I/II double knockout mice (MT-I/II−/−) - Allow for studying the combined effects of MT-I and MT-II deficiency
MT-I overexpression transgenic mice - Enable investigation of protective effects of elevated MT-I levels
Cell-specific or inducible MT-I/II expression models - Permit targeted studies of MT-I/II function in specific tissues or developmental stages
These models have been instrumental in demonstrating the importance of MT-I+II for coping with brain pathology. Experiments using MT-I/II knockout mice have shown altered zinc handling after brain injury, including failure to normalize liver zinc levels at 7 days post-injury, suggesting that MT-I/II is responsible for sequestering elevated zinc to the liver following brain trauma .
When using these models, researchers should consider potential compensatory mechanisms that may develop, particularly in constitutive knockout models, and include appropriate wild-type controls matched for genetic background .
MT-I plays a crucial role in zinc homeostasis after brain injury through a dynamic process involving multiple organs:
Following brain injury, MT-I expression is induced in both brain and liver tissues
Hepatic zinc content initially decreases at 1 and 3 days post-injury (DPI)
By 7 DPI, zinc levels return to normal in wild-type mice but remain depleted in MT-I/II knockout mice
This suggests MT-I/II is responsible for sequestering and normalizing elevated levels of zinc to the liver
This zinc sequestration mechanism appears to be a protective response, potentially preventing zinc-mediated toxicity in the injured brain. For researchers investigating this phenomenon, atomic absorption spectroscopy provides an effective method for measuring tissue zinc content. When designing such studies, it's important to include multiple timepoints (acute, subacute, and chronic phases) and compare wild-type with MT-I/II knockout animals to fully characterize the temporal dynamics of zinc redistribution .
For investigating MT-I metal-binding properties, several complementary approaches are recommended:
Isothermal titration calorimetry (ITC) - For determining binding affinities and thermodynamic parameters
Atomic absorption spectroscopy - For quantifying metal content
Circular dichroism (CD) spectroscopy - For monitoring conformational changes upon metal binding
Fluorescence spectroscopy - For studying binding kinetics using zinc-specific fluorophores
X-ray absorption spectroscopy - For detailed coordination environment analysis
When conducting these studies, researchers should consider using recombinant MT-I protein to ensure homogeneity and control metallation state. It's also advisable to perform experiments under anaerobic conditions when possible, as the thiol groups in MT-I are susceptible to oxidation, which can significantly alter metal-binding properties.
A critical methodological consideration is pH control, as protonation of thiol groups affects metal binding. Experiments should be conducted at physiologically relevant pH (7.4) and with appropriate metal chelators as controls to validate specific binding .
MT-I exerts neuroprotection through multiple cellular mechanisms:
Anti-inflammatory effects - MT-I+II inhibit macrophages, T lymphocytes and their formation of pro-inflammatory mediators including interleukins, tumor necrosis factor-alpha, matrix metalloproteinases, and reactive oxygen species
Enhanced cell survival - MT-I+II promote cell cycle progression, mitosis, and activate anti-apoptotic pathways
Neuronal apoptosis inhibition - MT-I+II interfere with pro-apoptotic signaling cascades
Metal ion homeostasis - By binding excess zinc and copper, MT-I prevents metal-induced neurotoxicity
Free radical scavenging - MT-I directly neutralizes reactive oxygen species
Methodologically, researchers investigating these mechanisms should employ pathway-specific assays. For studying anti-inflammatory effects, flow cytometry analysis of immune cell populations, multiplex cytokine assays, and RNA-seq of inflammatory gene signatures are recommended. Cell survival mechanisms can be assessed through BrdU incorporation assays, cell cycle analysis, and apoptosis detection methods including caspase activity assays and TUNEL staining .
Research has demonstrated that both endogenous MT-I+II and exogenously administered MT-I or MT-II can provide neuroprotection, suggesting both intra- and extracellular mechanisms of action:
Endogenous MT-I overexpression in transgenic models has confirmed protective effects against brain pathology
Exogenous MT-I or MT-II administered intraperitoneally promotes similar neuroprotective effects as endogenous MT-I+II
This dual efficacy indicates MT-I+II functions through both intracellular and extracellular mechanisms
For researchers designing MT-I administration studies, several methodological considerations are important:
Dose-response relationships should be established for different routes of administration
Pharmacokinetics and tissue distribution should be assessed using labeled MT-I
Blood-brain barrier penetration or alternative mechanisms of central action should be evaluated
Timing of administration relative to injury is critical, with earlier intervention typically showing greater efficacy
MT-I expression exhibits distinct patterns in acute versus chronic neurological conditions:
Condition Type | MT-I Expression Pattern | Cellular Sources | Temporal Profile |
---|---|---|---|
Acute Brain Injury | Rapid induction | Primarily astrocytes, also hepatocytes | Peaks within days, may persist for weeks |
Chronic Neurodegeneration | Variable, often dysregulated | Multiple cell types including microglia | Fluctuating levels, correlation with disease progression |
In acute injury models such as traumatic brain injury, MT-I expression shows a clear temporal pattern with hepatic MT-I mRNA levels significantly increasing within 24 hours and protein levels peaking at 7 days post-injury . This pattern suggests a coordinated systemic response.
For researchers investigating these differential patterns, longitudinal studies with multiple timepoints are essential. Tissue-specific analysis should include both central (brain regions) and peripheral (liver) sources of MT-I. Single-cell RNA sequencing can provide valuable insights into cell-type-specific expression patterns, particularly in heterogeneous neural tissues .
Translating MT-I research to clinical applications faces several methodological and conceptual challenges:
Interspecies differences in MT regulation and function
Delivery methods for MT-I as a potential therapeutic
Blood-brain barrier penetration limitations
Difficulty in monitoring MT-I function and efficacy in human subjects
Developing human-specific MT-I modulators with acceptable pharmacokinetic profiles
Despite these challenges, MT-I and MT-II compounds have demonstrated good tolerability in preclinical studies, suggesting potential for therapeutic development . For researchers working on translational aspects, several approaches may help address these challenges:
Humanized mouse models expressing human MT variants
Advanced drug delivery systems targeting MT-I to the CNS
Identification of small molecule MT-I inducers with favorable pharmacokinetics
Development of biomarkers that correlate with MT-I activity in humans
Comparative studies examining MT-I function across species to identify conserved mechanisms
Contradictory findings regarding MT-I function may arise from several methodological variables:
Inability to distinguish between MT-I and MT-II specific effects
Differences in injury/disease models and severity
Temporal considerations - sampling at different timepoints post-intervention
Variations in genetic backgrounds of experimental animals
Differences in metal content of diet or housing conditions affecting baseline MT status
To reconcile contradictory findings, researchers should implement comprehensive experimental designs that:
Include both MT-I/II knockout and MT-I overexpressing models
Perform detailed time-course studies with multiple sampling points
Control for environmental variables affecting metal homeostasis
Directly compare multiple injury/disease models using identical MT-I assessment methods
Utilize multi-omics approaches (transcriptomics, proteomics, metallomics) to capture the complexity of MT-I responses
MT-I research intersects with multi-target drug development through several pathways:
Understanding MT-I as a naturally occurring multi-functional protein provides insights into designing multi-target compounds (MT-CPDs)
MT-I's ability to modulate multiple pathways (anti-inflammatory, anti-apoptotic, antioxidant) offers a template for multi-target drug design
Structural studies of MT-I interactions with various proteins can inform pharmacophore development
Multi-target compounds (MT-CPDs) are distinguished from single-target compounds (ST-CPDs) by their ability to specifically interact with multiple targets. Machine learning studies have provided evidence for target combination-dependent structural characteristics that differentiate MT-CPDs from ST-CPDs . These insights could guide the design of new compounds with desired multi-target activity, including those mimicking MT-I's beneficial properties.
Researchers exploring this intersection should consider computational approaches including:
Molecular modeling of MT-I interactions with various binding partners
Machine learning algorithms to identify structural features that enable multi-target engagement
Network pharmacology approaches to predict the impact of MT-I modulation on disease pathways
Current technical challenges in clinical MT-I assessment include:
Limited sensitivity of commercially available antibodies for distinguishing MT-I from other MT isoforms
Lack of standardized reference ranges for MT-I in human tissues and biofluids
Pre-analytical variables affecting MT-I stability in clinical samples
Absence of validated high-throughput assays suitable for clinical laboratories
To address these limitations, researchers should consider developing:
Next-generation MS-based assays with isoform-specific peptide detection
Aptamer-based detection methods with improved specificity
Standardized sample collection and processing protocols that preserve MT-I integrity
Novel biomarkers that correlate with MT-I activity rather than just protein levels
When designing clinical studies, researchers should incorporate method validation steps including recovery experiments, matrix effect evaluation, and comparison with existing methodologies when possible .
Based on current evidence, several promising research directions for MT-I in neuroscience emerge:
Development of MT-I mimetic compounds with enhanced blood-brain barrier penetration
Exploration of cell-specific MT-I functions using conditional knockout or expression models
Investigation of MT-I in the context of neurodevelopmental disorders
Elucidation of MT-I's role in glial-neuronal interactions during brain repair
Application of systems biology approaches to understand MT-I within the broader context of metalloproteins and zinc homeostasis
For researchers pursuing these directions, integration of multiple methodological approaches is recommended. Single-cell technologies combined with spatial transcriptomics can reveal cell-specific MT-I functions in complex neural tissues. CRISPR-based approaches allow for precise manipulation of MT-I expression in specific cell populations. Advanced imaging techniques, including metal-specific probes, can track MT-I-dependent metal redistribution in real-time .
Melanotan-I is a linear peptide consisting of 13 amino acids. It has a similar structure to α-MSH, with two key differences: the fourth amino acid is norleucine, and the seventh amino acid is D-phenylalanine . These modifications make Melanotan-I more potent and resistant to enzymatic breakdown compared to its natural counterpart.
The peptide works by binding to melanocortin receptors, particularly the melanocortin 1 receptor (MC1R), which is primarily found in melanocytes, the cells responsible for melanin production. Upon binding to MC1R, Melanotan-I stimulates the production of eumelanin, a type of melanin that provides a darker pigmentation and offers protection against ultraviolet (UV) radiation .
Melanotan-I has been investigated for several clinical applications, including:
While Melanotan-I has shown promise in clinical studies, its safety profile is still under investigation. Some of the reported side effects include:
It is important to note that Melanotan-I should not be confused with Melanotan-II, another synthetic peptide with similar properties but a different receptor specificity and side effect profile .