MTFMT/FMT catalyzes the formylation of methionyl-tRNA in mitochondria, a prerequisite for initiating mitochondrial protein synthesis. Dysregulation of this enzyme is linked to mitochondrial disorders, including Leigh syndrome and combined oxidative phosphorylation deficiency .
Ensures proper initiation of mitochondrial translation.
Supports oxidative phosphorylation and cellular energy production.
Tested Sample: U-2 OS (Human bone osteosarcoma epithelial cell line).
Protocol: Cells fixed with paraformaldehyde (PFA), permeabilized with Triton X-100, and stained with ab243815 at 4 µg/mL.
Result: Distinct cytoplasmic staining confirming mitochondrial localization of MTFMT/FMT .
Tested Sample: Formalin-fixed, paraffin-embedded human stomach tissue.
Protocol: Stained with ab243815 at a 1:20 dilution.
Result: Specific granular staining in glandular epithelial cells, consistent with mitochondrial expression .
ab243815 is used to:
Investigate mitochondrial translation defects in genetic disorders.
Study the role of MTFMT/FMT in cellular energy metabolism.
Validate MTFMT/FMT expression in disease models (e.g., mitochondrial encephalopathies).
Specificity: While validated for ICC/IF and IHC-P, performance in other applications (e.g., Western blot) remains untested.
Species Reactivity: Confirmed only in humans; cross-reactivity with other species is unverified.
FMT modulates the immune system through multiple mechanisms, primarily by restoring microbial diversity and establishing a healthy microbiota composition. The procedure introduces a wide range of microorganisms that can re-establish a balanced microbial community, which in turn influences immune function . Specifically, certain gut microbiota components induce the production of immune-modulatory compounds that help regulate immune responses, particularly important in inflammatory conditions such as inflammatory bowel disease (IBD) .
Research methodology for investigating these mechanisms typically involves:
Microbial community profiling before and after FMT
Measurement of pro- and anti-inflammatory cytokines
Assessment of mucosal immune cell populations
Tracking changes in antibody production against specific gut microbiota
The immune response to FMT can differ substantially between first-time and recurrent CDI patients. Patients with recurrent CDI often demonstrate dysregulated immune responses to gut microbiota, which may contribute to their susceptibility to repeated infections . After multiple CDI episodes, the risk of subsequent recurrences exceeds 50%, suggesting potential immunological memory effects that FMT might help reset .
For researchers investigating this question, methodological considerations include:
Longitudinal antibody profiling before and after FMT
Comparison of mucosal and systemic antibody responses
Analysis of antibody specificity against C. difficile toxins
Correlation between antibody responses and clinical outcomes
While specific antibody biomarkers are still being identified, several immunological parameters may help predict FMT success:
| Potential Biomarkers | Relevance to FMT Success | Measurement Methodology |
|---|---|---|
| Microbial diversity indices | Higher diversity correlates with better outcomes | 16S rRNA sequencing |
| Mucosal IgA levels | Reflects local immune response to gut microbiota | Intestinal biopsy samples with immunohistochemistry |
| Anti-C. difficile toxin antibodies | May indicate protective immunity | ELISA testing of serum samples |
| T-cell infiltration patterns | Reduced infiltration suggests reduced inflammation | Flow cytometry of mucosal biopsy samples |
Researchers should consider measuring these parameters before and after FMT to establish correlations with clinical outcomes.
FMT has been shown to affect T-cell responses, particularly in inflammatory conditions. During active, refractory graft-versus-host disease of the gastrointestinal tract, T-cell infiltration increases, which FMT can reduce . This modulation of T-cell activity represents an important mechanism through which FMT may exert its therapeutic effects.
Research methodologies for investigating this question include:
Flow cytometric analysis of T-cell subpopulations
Assessment of T-cell receptor repertoire diversity
Measurement of T-cell derived cytokines
Spatial transcriptomics of gut tissue biopsies before and after FMT
FMT affects bacteriophage populations in the gut , which may trigger specific antibody responses. When designing experiments to investigate these responses, researchers should consider:
Phage isolation techniques from pre- and post-FMT samples
Development of phage-specific antibody assays
Distinctions between IgA, IgG, and IgM responses to phages
Correlation between anti-phage antibodies and clinical outcomes
Consideration of donor-recipient phage transfer and subsequent immune recognition
This remains an understudied area with significant research potential, especially given the role of bacteriophages in shaping bacterial communities.
This methodological challenge requires sophisticated approaches:
Genotyping of donor and recipient to track immunoglobulin allotypes
Use of labeled antibodies specific to donor or recipient epitopes
Single-cell sequencing of B cells to track clonal expansion
Temporal analysis of antibody repertoire changes post-FMT
Application of computational algorithms to distinguish antibody origins
Understanding the origin of antibody responses can help clarify whether FMT success depends on transferred immune components or stimulation of the recipient's immune system.
Antibody responses to FMT may vary significantly across different disease conditions:
Research designs should account for these condition-specific variations when studying immunological outcomes of FMT.
FMT shows promise as a potential treatment for type 2 diabetes mellitus (T2DM) by improving insulin resistance and blood glucose control through modulation of the gut microbiome . Research suggests that immunological factors play a key role in this therapeutic effect.
Methodological approaches to investigate this connection include:
Measurement of antibodies against specific bacterial markers like Anaerotruncus Ruminococcaceae and Rikenellaceae
Assessment of inflammatory cytokine profiles before and after FMT
Correlation between antibody responses and glycemic control
Longitudinal tracking of immune cell populations and their functional characteristics
Studies have shown that FMT efficacy varies between patients with T2DM, potentially due to individual differences in intestinal microbiota composition and immune response patterns .
Researchers should consider the following methodological guidelines:
Timing of sample collection:
Baseline (pre-FMT)
Early post-FMT (7-14 days)
Late post-FMT (1-3 months)
Long-term follow-up (6-12 months)
Sample types:
Serum for systemic antibody responses
Stool for secretory IgA
Mucosal biopsies for tissue-resident antibody-producing cells
Peripheral blood for circulating B cells
Processing considerations:
Immediate stabilization to prevent protein degradation
Standardized extraction protocols to ensure comparability
Appropriate storage conditions (-80°C for long-term)
Batch processing to minimize technical variation
This represents a significant methodological challenge. Researchers should consider:
Comprehensive donor screening protocols
Standardization of donor material when possible
Detailed characterization of donor microbiota composition
Recording of donor immunological parameters
Statistical approaches to account for donor variability:
Mixed effects models
Stratification by donor characteristics
Paired analyses of pre- and post-FMT samples
From available research, patients show varying preferences regarding donor material, with 44% preferring anonymous donors, 34% preferring family members, and 21% having no preference . These preferences may influence psychological responses to FMT, potentially affecting immunological outcomes.
Cutting-edge methodologies that show promise include:
Systems serology approaches to comprehensively profile antibody responses
Spatial proteomics to map antibody distribution in intestinal tissues
B-cell receptor sequencing to track clonal expansion after FMT
AI-assisted analysis of antibody repertoire changes
Microfluidic single-cell antibody secretion assays
These approaches could provide deeper insights into how FMT influences antibody production and function.
This question addresses a critical knowledge gap. Research methodology should include:
Longitudinal sampling strategies spanning multiple years
Correlation of antibody signatures with clinical trajectories
Integration of microbiome and metabolome data with antibody profiles
Consideration of patient-specific factors:
Age and sex differences
Underlying comorbidities
Medication use, particularly immunosuppressants
Preliminary evidence suggests that physician recommendation significantly influences patient acceptance of FMT (mean score 7.1 on a 10-point scale when recommended by physician vs. 4.8 for current episode without recommendation) , highlighting the importance of clinical guidance in FMT research participation.