ain1 Antibody

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Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
ain1 antibody; SPAC15A10.08Alpha-actinin-like protein 1 antibody
Target Names
ain1
Uniprot No.

Target Background

Function
This antibody targets ain1, a protein that binds to actin and participates in actin ring formation and organization. It plays a crucial role in cytokinesis and is involved in septation.
Database Links
Protein Families
Alpha-actinin family
Subcellular Location
Cytoplasm, cytoskeleton. Note=Localizes to the medial ring in an F-actin-dependent manner.

Q&A

What is AIN1 and what role do antibodies play in its detection?

AIN1 (Anal Intraepithelial Neoplasia grade 1) represents a low-grade precursor lesion to anal squamous cell carcinoma. While antibodies themselves aren't the primary diagnostic method, immunological techniques are used in the diagnostic pathway. The current diagnostic approach involves anal cytology using a polyester fiber swab inserted into the rectum to collect cells from the transitional zone and anal canal. These samples are then processed using liquid cytology techniques and Papanicolaou staining, similar to cervical specimens . The specimens are examined for cellular changes consistent with HPV infection and dysplasia.

Clinically, it's important to note that low-grade intraepithelial neoplasia (LGAIN or AIN-1) has very low potential for malignancy , which influences treatment decisions. Detection typically occurs in three clinical scenarios: (1) during investigation of symptomatic perianal or anal disease, (2) discovery of asymptomatic visible disease during physical examination, or (3) through screening of high-risk immunosuppressed individuals .

How does the prevalence of AIN1 vary across different population groups?

AIN incidence varies significantly between general and high-risk populations. The following table summarizes anal cancer rates which correlate with AIN prevalence:

Population GroupAnal Cancer Rates (per 100,000 person-years)
General population2
General population, female0.55-2.4
HIV positive women3.9-30
HIV negative MSM5.1

MSM: Men who have sex with men

The highest rates of AIN and anal cancer are seen in HIV-positive MSM, with reported anal cancer rates of 135 per 100,000, compared to 45 per 100,000 in HIV-positive non-MSM, and just 2 per 100,000 in the general population. HIV-positive women show rates of 30 per 100,000, while HIV-negative women demonstrate significantly lower rates .

The elevated risk in HIV-positive populations is attributed to higher rates of HPV infection, decreased ability to clear HPV infections, and increased likelihood of multiple concurrent HPV strain infections .

What is the natural history of AIN1 progression and regression in research cohorts?

Research data shows variable patterns of progression and regression in AIN1. In a study by Tong et al., 12.6% (25 of 199) of male patients in an anal cancer screening clinic progressed from AIN I to AIN III, equivalent to a rate of 8.1 per 100 person-years. HIV-positive status was associated with the greatest risk for progression, with a hazard ratio of 2.8 for progression from AIN I to III .

Interestingly, the same study documented significant spontaneous regression rates from more severe lesions. Of patients with AIN III, 47% (26 of 55) showed spontaneous regression, equivalent to 68.9 per 100 person-years. Of these 26 patients who regressed:

  • 42% regressed to AIN II

  • 42% regressed to AIN I

  • 15% regressed completely to no disease (negative biopsies)

These findings highlight the dynamic nature of AIN and suggest that not all lesions, even high-grade ones, inevitably progress to cancer. This has important implications for treatment decision-making and follow-up protocols in research and clinical settings.

How do anti-apolipoprotein A-1 antibodies relate to viral infections and what research methods are used to study them?

Recent research has established connections between viral infections and auto-antibody production. A relevant example is the association between SARS-CoV-2 infection and anti-apolipoprotein A-1 antibodies (AAA1). While not directly related to AIN1, this research demonstrates important immunological principles applicable to broader antibody research.

In a prospective SEROCOV-KIDS cohort study of 1031 participants aged 6 months to 17 years, researchers examined AAA1 serology in relation to SARS-CoV-2 infection. The study established four groups based on infection and vaccination status: "Infected-unvaccinated (I+/V-)", "Uninfected-vaccinated (I-/V+)", "Infected-Vaccinated (I+/V+)", and "Naïve (I-/V-)" .

The methodological approach involved:

  • Assessment of anti-RBD, anti-N, and AAA1 antibodies through serological testing

  • Collection of outcome data via online questionnaires

  • Analysis using logistic regression to assess associations with study endpoints

Results showed seropositivity rates of 71% for anti-RBD, 55% for anti-N, and 5.8% for AAA1. The study found that children with SARS-CoV-2 infection but no vaccination (I+/V-) displayed higher median AAA1 levels and seropositivity (7.9%) compared to other groups, with a 2-fold increased AAA1 seroconversion risk (OR: 2.11, 95% CI: 1.22-3.65) . This research methodology demonstrates how to investigate antibody responses triggered by viral infections, which could be adapted to study HPV-specific antibody responses in AIN.

What advanced techniques are being used to design and test antibodies in research settings?

Recent research has explored AI-based approaches for antibody design, particularly for viral targets. While not specifically focused on AIN1, these methodologies represent cutting-edge techniques applicable to antibody research more broadly.

A structure-free approach using deep learning techniques has shown promise in designing antibodies with improved binding affinities. This method:

  • Uses sequence information rather than structural data

  • Models at the amino acid level rather than atomic level

  • Predicts binding affinity between antibody and antigen

  • Allows for rapid screening of large mutation spaces

The computational efficiency of this approach compared to traditional structural methods is demonstrated in the following table:

MethodSingle-site MutationsDouble-site MutationsThree-site MutationsFour-site Mutations
Mutation space10²10⁴10⁶10⁸
Schrodinger Structure4 days~100 daysNot applicableNot applicable
Prodigy Structure336 seconds17.7 hours89 daysNot applicable
SentinusAI Sequence< 2min6 min40 minutes3 days

Not applicable: computational time >100 days

This AI approach demonstrated significant affinity improvements (11.41-fold, 39.62-fold, and 269.65-fold change) relative to original antibody templates, even for novel antigens not included in the training set . The research also highlighted important considerations regarding discrepancies between binding affinity (measured by ELISA) and neutralizing capacity in functional assays, underscoring the importance of validating antibody efficacy through functional testing.

What are the current methodological approaches for AIN1 detection in research settings?

Current research screening methodologies for AIN1 focus on cytological approaches. The technical procedure involves:

  • Inserting a water-moistened polyester fiber swab into the rectum until encountering the rectal wall

  • Removing the swab with a twisting motion while applying lateral pressure to sample the transitional zone and anal canal

  • Processing the swab using liquid cytology technique

  • Applying Papanicolaou staining

  • Analysis by a pathologist for cellular changes

Research has shown that while clinician-performed sampling yields slightly higher sensitivity, patient self-sampling may improve compliance rates. It's noteworthy that screening the general population with anal cytology has not been studied and is not currently recommended .

High-resolution anoscopy represents another important technique in research settings, particularly for visualization and targeted biopsy of suspicious lesions. This approach allows for direct visualization of the anal canal after application of acetic acid and/or Lugol's solution to highlight abnormal areas for biopsy .

How do research protocols integrate different diagnostic modalities for comprehensive AIN evaluation?

Comprehensive research protocols integrate multiple diagnostic modalities to improve sensitivity and specificity in AIN evaluation. A typical research-oriented diagnostic pathway includes:

  • Initial screening with anal cytology

  • Follow-up high-resolution anoscopy (HRA) for abnormal cytology findings

  • Targeted biopsies of visualized lesions

  • Histopathological evaluation to confirm diagnosis and grade

This multi-modal approach addresses limitations of individual testing methods. For instance, while anal cytology offers a convenient screening tool, it has limited specificity. HRA provides direct visualization but requires specialized training and equipment. Histopathological confirmation remains the gold standard but requires tissue sampling .

In research settings focusing on high-risk populations (HIV-positive individuals, MSM), integration of HPV DNA testing may provide additional value in risk stratification. This combined approach allows for more nuanced research data regarding the relationship between HPV infection, immune status, and AIN development and progression .

What treatment methodologies are being researched for AIN1, and how do they differ by patient population?

Research on AIN1 treatment involves both medical and surgical approaches, with treatment selection influenced by the extent of disease, patient characteristics, and immune status. Since low-grade AIN (AIN-1) has very low malignant potential , observation may be appropriate in many cases.

Current treatment research includes:

  • Topical therapies:

    • Imiquimod: An immune response modifier that stimulates local cytokine production

    • 5-Fluorouracil: A topical chemotherapeutic agent

    • Trichloroacetic acid: A caustic agent that causes protein coagulation and cellular destruction

  • Ablative therapies:

    • Infrared coagulation

    • Electrocautery

    • Laser ablation

  • Surgical approaches:

    • Targeted excision of discrete lesions

    • Wide local excision for extensive disease

Research has shown differing response rates based on immune status, with HIV-positive patients typically showing lower complete response rates and higher recurrence rates compared to HIV-negative individuals. This underscores the importance of tailored treatment approaches for different research populations .

The methodological considerations in treatment research include definitions of response (complete vs. partial), appropriate follow-up intervals, and integration of quality of life measures as important research endpoints.

What emerging technologies and methodologies hold promise for antibody-based detection and treatment of AIN?

Several emerging technologies show promise for improving antibody-based research related to AIN:

  • AI-guided antibody design: As demonstrated in SARS-CoV-2 research, AI approaches can identify antibodies with broad cross-reactivity against multiple viral strains. This methodology could potentially be applied to developing antibodies targeting oncogenic HPV strains associated with AIN .

  • Combined diagnostic modalities: Research protocols integrating molecular markers, cytology, and high-resolution imaging show promise for improving early detection of significant lesions while reducing unnecessary procedures for low-risk findings.

  • Therapeutic HPV vaccines: While prophylactic HPV vaccines are established, therapeutic vaccines designed to stimulate immune responses against established HPV infections represent an active area of research with potential implications for AIN treatment.

  • Antibody-drug conjugates: This technology, which links cytotoxic agents to antibodies targeting specific antigens expressed in dysplastic cells, represents a potential precision approach for treating pre-cancerous lesions while sparing normal tissue.

Research methodologies will need to incorporate longitudinal follow-up and appropriate endpoints to evaluate the efficacy of these emerging technologies, particularly given the variable natural history of AIN with its significant rates of both progression and spontaneous regression .

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