K060431 · Mbl International Corporation · NYO · Jun 19, 2006 · Immunology
Device Facts
Record ID
K060431
Device Name
ANTI RNA POLYMERASE III ELISA KIT, MODEL 7805
Applicant
Mbl International Corporation
Product Code
NYO · Immunology
Decision Date
Jun 19, 2006
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.5100
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K060431 · Jun 19, 2006
ANTI RNA POLYMERASE III ELISA KIT, MODEL 7805
Mbl International Corporation
Retrospective clinical patient samples (SSc, SLE, RA, PM, DM, Vasculitis, MCTD); Healthy blood donor samples; Published clinical literature
Retrospective clinical samples were used to establish the assay cut-off (n=357) and to determine clinical sensitivity and specificity (n=609). Published literature was used to support the observed clinical performance characteristics.
Retrospective cohort; Clinical sensitivity/specificity; Cut-off establishment; Literature review
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Retrospective analysis of clinical specimens
143 healthy blood donors, 158 SSc patients, 56 patients with other autoimmune diseases (SLE, DM, PM, RA); Sample Size: 357
The anti-RNA Polymerase III ELISA Kit is a semiquantitative, enzyme-linked immunosorbent assay (ELISA) for the detection of anti-RNA Polymerase III antibodies in human serum. The test result is used as an aid in the diagnosis of Systemic Sclerosis (SSc) in conjunction with the clinical and other laboratory findings. The anti-RNA Polymerase III ELISA Kit is intended for in-vitro diagnostic use.
Device Story
In-vitro diagnostic ELISA kit for detection of anti-RNA Polymerase III antibodies in human serum. Principle: Microwells coated with RNAP III antigens; patient serum added; anti-RNAP III antibodies bind to immobilized antigen; horseradish peroxidase-conjugated anti-human IgG added; peroxidase substrate added; color development measured photometrically. Used in clinical/reference laboratories by trained personnel. Results aid clinicians in diagnosing Systemic Sclerosis (SSc), an autoimmune disease characterized by microvascular damage and fibrosis. Quantitative results obtained by plotting photometric measurements against calibrators.
Clinical Evidence
Clinical trial performance established via comparison with immunoprecipitation (research method) and K972145 (HEP-2000). No specific sensitivity/specificity metrics provided in summary text.
Indicated for the semi-quantitative detection of anti-RNA Polymerase III antibodies in human serum as an aid in the diagnosis of Systemic Sclerosis (SSc) in conjunction with clinical and laboratory findings.
Regulatory Classification
Identification
An antinuclear antibody immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the autoimmune antibodies in serum, other body fluids, and tissues that react with cellular nuclear constituents (molecules present in the nucleus of a cell, such as ribonucleic acid, deoxyribonucleic acid, or nuclear proteins). The measurements aid in the diagnosis of systemic lupus erythematosus (a multisystem autoimmune disease in which antibodies attack the victim's own tissues), hepatitis (a liver disease), rheumatoid arthritis, Sjögren's syndrome (arthritis with inflammation of the eye, eyelid, and salivary glands), and systemic sclerosis (chronic hardening and shrinking of many body tissues).
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k060431
B. Purpose for Submission:
New Devices
C. Measurand:
Anti-Ribonucleic acid polymerase III (Anti-RNAP III)
D. Type of Test:
Semi-quantitative, enzyme-linked immunosorbent assay (ELISA)
E. Applicant:
MBL International Corporation
F. Proprietary and Established Names:
Anti-RNA Polymerase III ELISA Kit
G. Regulatory Information:
1. Regulation section:
21 CFR 866.5100, Antinuclear antibody immunological test system
2. Classification:
II
3. Product code:
NYO, Autoantibodies, Anti-Ribonucleic Acid Polymerase (RNAP) III Antibody
4. Panel:
Immunology 82
H. Intended Use:
1. Intended use(s):
The anti-RNA Polymerase III ELISA Kit is a semi-quantitative, enzyme-linked immunosorbent assay (ELISA) for the detection of anti-RNA Polymerase III antibodies in human serum. The test result is used as an aid in the diagnosis of Systemic Sclerosis (SSc) in conjunction with clinical and other laboratory findings. The anti-RNA Polymerase III ELISA Kit is intended for in-vitro diagnostic use.
2. Indication(s) for use:
Same as intended use.
3. Special conditions for use statement(s):
For prescription use only.
4. Special instrument requirements:
Microplate reader capable of measuring OD at 450/620 nm.
Microplate washer
I. Device Description:
Each device contains the following: microwell strips (12x8) coated with recombinant purified RNA polymerase III, two level calibrators (0 and 100 U/mL), goat anti-human IgG, IgA, IgM horse-radish peroxidase conjugate, TMB substrate, wash concentrate, diluent and 1N sulfuric acid stop solution. Positive and negative controls are not supplied with device.
J. Substantial Equivalence Information:
{1}
1. Predicate device name(s):
Immuno Concepts HEP-2000 Fluorescent ANA-RO Test System
2. Predicate 510(k) number:
k972145
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | New Device | Predicate Device |
| Assay format | Semi-quantitative | Same |
| Differences | | |
| --- | --- | --- |
| Item | New Device | Predicate |
| Intended Use | To aid in the diagnosis of Systemic Sclerosis (SSc) | To aid in the diagnosis of multiple autoimmune diseases, systemic rheumatic disease |
| Technology | ELISA | Indirect fluorescence microscopy |
| Antigen | Recombinant purified RNAP III | HEP 2000® cells with mitotic figures, stably transfected with SSA/Ro autoantigen |
| Serum dilution and volume | 1:101; 100 μL | 1:40; 25 μL |
| Calibrators | Two levels: 0 U/mL and 100 U/mL | Not applicable |
| Controls | No Positive and Negative Controls | Six Positive Controls (SSA/Ro, Homogenous, Speckled, Nucleolar, Centromere, Titratable) and One Negative Control |
| Conjugate | Horse radish peroxidase conjugated goat anti-human IgG, IgA, and IgM with HEPES, Proclin 150 and BSA | FITC Goat anti-human IgG with 0.1% sodium azide |
| Diluent | PBS diluent with Tween 20 ready to use | PBS buffer powder to make 1 L |
| Wash concentrate/Buffer | PBS with Tween 20: 10X concentrate | PBS buffer powder to make 1 L |
| Substrate | TMB | Not applicable |
| Stop solution | 1N Sulfuric acid | Not applicable |
| Incubation times | 60-60-30 | 30-30 |
| Wash step | 4X | PBS Rinse 1X for 10 min. PBS Wash 1X |
| Result reading | ELISA: O.D. At 450/620 nm | IFA fluorescence microscope at 200X or greater magnification |
{2}
| Differences | | |
| --- | --- | --- |
| Item | New Device | Predicate |
| Results interpretation | Negative: <28 U/mL
Positive: ≥28 U/mL | Negative: <1:40 dilution
Positive: ≥1:40 dilution
reported with specific nuclear pattern observed |
K. Standard/Guidance Document Referenced (if applicable):
None referenced.
L. Test Principle:
The anti-RNA Polymerase III ELISA Kit measures anti-RNAP III antibodies present in the serum by ELISA. Diluted Calibrators, controls, and patient serum are added to microwell coated with recombinant purified RNAP III antigen, allowing anti-RNAP III antibodies to react with the immobilized antigen. After washing to remove any unbound serum proteins, horseradish peroxidase conjugated anti human IgG, IgA, IgM is added and incubated. Following another washing step, the peroxidase substrate is added and incubated for an additional period of time. Acid solution is then added to each well to terminate the enzyme reaction and to stabilize the color development. The assay can be semi-quantified by measuring the reaction photometrically and plotting the results.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
The intra-assay reproducibility was determined by testing 6 samples 8 times on 3 assays with 3 lots. Two samples with high anti-RNAP III concentrations (61.1 and 150.6 U/mL) had %CVs of 2.0 and 3.4 %, four samples close to the assay cut-off (14.6-32.4 U/mL) had %CVs ranging from 3.3% to 8.6%.
The inter-assay reproducibility was determined by testing 6 samples in duplicate 8 times for 5 consecutive days. Two samples with high Anti-RNAP III concentrations (56.0 and 157.4 U/mL) had %CVs of 3.2% and 4.1 %, four samples close to the assay cut-off (17.2-33.8 U/mL) had %CVs ranging from 3.5% to 7.3%.
The inter-lot reproducibility was determined by testing 6 samples in duplicate on two lots of plates seven times. Four low concentration sample (16.8-33.8 U/mL) had %CVs ranging from 2.6-4.6%. Two high concentration samples (58.8-153.6 U/mL) had %CVs ranging from 1.3-2.8%. The overall %CV ranged from 1.3-4.6%.
b. Linearity/assay reportable range:
There is no claim for linearity for this assay.
The assay reportable range is from 5-200 U/mL.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
There is no reference standard for anti-RNAP III. The calibrators are prepared in-house and arbitrary units are assigned during development process. Positive and negative controls are not supplied but are recommended.
d. Detection limit:
{3}
The lower limit of assay range was determined by dilution study. A sample that had 17 U/mL anti-RNAP III was chosen and serially diluted. The serial dilutions were measured and the criteria were:
1) CV (%) of eight repetitive assay is lower than 10
2) Mean ± 2SD of the dilution does not cross over with the adjacent dilution.
Results showed that 4.1 U/mL was the lowest value that satisfied the above conditions.
e. Analytical specificity:
Interference by endogenous substances: The package insert states that highly hemolyzed, icteric, lipemic, or microbially contaminated samples should not be used in these assays. Interference studies were performed on aliquots of five samples spiked with different concentrations of endogenous substances, namely hemoglobin, bilirubin C, bilirubin F, formazine (chyle) and rheumatoid factor (RF). The assay results were not affected with hemoglobin (up to 523 mg/dL), bilirubin C (up to 19.4 mg/dL), bilirubin F (up to 20.9 mg/dL), formazine (up to 2,800 units as) and RF (up to 500 IU/mL).
For assessing crossreactivity, the assay was tested on other autoimmune disease samples (MCTD, DM, PM, RA, SLE, and Vasculitis). Results showed minimal or no crossreactivity (refer to summary table below). Since Sjogrën's Syndrome (SjS) samples were not tested, the package insert states that the assay was not tested with Sjogrën's Syndrome (SjS) samples.
The assay was also tested on ten E. coli antibody positive samples and no crossreactivity was observed.
| Disease | Positive sample | Positive rate |
| --- | --- | --- |
| MCTD | 2/21 | 9.5% |
| DM | 1/21 | 4.8% |
| PM | 1/23 | 4.3% |
| RA | 0/25 | 0.0% |
| SLE | 1/33 | 3.0% |
| Vasculitis | 1/21 | 4.8% |
f. Assay cut-off:
The cut-off value of 28 U/mL was established from a combined panel of 357 specimens collected from 143 healthy blood donors (HBD), 158 diagnosed SSc patients and 56 autoimmune diseases (33 SLE. 5 DM, 8 PM, 10 RA). The mean anti-RNAP III concentration of the HBD samples was 2.6 U/mL with a SD of 5.4 U/mL. Of the 143 HBD samples, only 2 samples had results above 20.5 U/mL, i.e. 42.1 and 42.4 U/mL. The anti-RNAP III concentrations for the non-SSc diseases were from 0.0-7.8 U/mL except for 1 SLE patient with a result of 52.7 U/mL.
75 of the 158 SSc samples were positive on the Anti-RNAP III ELISA kit with results ranging from 35.5-354.8 U/mL; and 83 of the 158 samples were negative with results ranging from 0.0-27.3 U/mL. An ROC analysis based on the 158 SSc samples and 199 normal plus target disease patients indicated a
{4}
range between 27-38U/mL. The cut-off of 28 U/mL was selected based on the fact that the highest value of the negative SSc sample was 27.3 U/mL.
# 2. Comparison studies:
a. Method comparison with predicate device:
Testing was performed on 211 samples which included 53 healthy blood donors and 158 Systemic sclerosis (SSc) samples. The positive percent agreement was $45.5\%$ (76/167); the negative percent agreement was $97.7\%$ (43/44); and the overall agreement was $56.4\%$ (119/211). The low correlation is due to fact that the predicate ANA IFA method detects all antinuclear antibodies, while the Anti-RNAP III ELISA method detects antibodies only to RNAP III. Results are summarized below.
| | Immuno Concepts ANA Hep-2000®Ro IFA | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| MBL Anti-RNAP III ELISA | Positive | 76 | 1 | 77 |
| | Negative | 91 | 43 | 134 |
| | Total | 167 | 44 | 211 |
Positive percent Agreement: $45.5\%$ (76/167)
Negative percent agreement: $97.7\%$ (43/44)
Overall percent agreement: $56.4\%$ (119/211)
b. Matrix comparison:
Not applicable.
# 3. Clinical studies:
a. Clinical Sensitivity and specificity:
The MBL Anti-RNAP III clinical sensitivity and specificity study evaluated 609 clinically defined samples from patients with the following diagnosis: 257 Systemic sclerosis (SSc), 33 Systemic Lupus Erythematosus (SLE), 25 Rheumatoid Arthritis (RA), 23 Polymyositis (PM), 21 Dermatomyositis (DM), 21 Vasculitis, 21 Mixed Connective Tissue Disease (MCTD) and 208 healthy subjects. No pediatric samples were included in this study. Sensitivity was $23.4\%$ (60/257) and the specificity was $97.4\%$ (343/352) (see table below). The low sensitivity is due to the fact that the MBL Anti-RNAP III test only detects a subset of SSc patients.
| | Diagnosis | | | |
| --- | --- | --- | --- | --- |
| | | Positive (Systemic Sclerosis) | Negative [Disease Controls: (MCTD, DM, PM, RA, SLE, Vasc) and Healthy Controls] | Total |
| MBL Anti-RNAP III | Positive | 60 | 9 | 69 |
| | Negative | 197 | 343 | 540 |
| | Total | 257 | 352 | 609 |
Sensitivity: $23.4\%$ (60/257) $(95\% \mathrm{C}1:18.31 - 29.0\%)$
Specificity: $97.4\%$ (343/352) $(95\% \mathrm{C}1:95.2 - 98.8\%)$
{5}
The low sensitivity and high specificity of the SSc markers are supported by published literature as summarized in the following table.
Reported positivity of SSc Seromarkers:
| Source Marker | Anti-centromere Ab | Anti-Th/To | Anti-U1RNP | Anti-PM-Scl | Anti-U3RNP | Anti-RNA Pol I or III | Anti-Scl-70 (Topo I) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Medsger, 1997 (1) | 25% | 5% | 10% | 5% | 5% | 20% | 15% |
| Kuwana, et. Al. 1993 (3)^{a)} | - | - | - | - | - | 5% | - |
| Okano, et. Al. 1993 (4) | 20.6% | 4.4% | 11.1%^{b)} | 3.2% | - | 22.6%^{c)} | 19.8% |
| Kuwana, et. Al. 1994 (6)^{d)} | 18% | - | 8% | 3% | 5% | 24% | 22% |
| Kuwana, et. Al. 1994 (6)^{e)} | 11% | - | 32% | 0% | 45% | 14% | 14% |
| Kuwana, et. Al. 2002 (11) | - | 4.6% | - | - | - | - | - |
| Kuwana, et. Al. 2005 (13) | - | - | - | - | - | 15%^{f)} | - |
a) Japanese SSc patients (n=275)
b) U1, U2, U4/U6 and U5 RNP total
c) RNAP III only
d) North American Caucasian patients (n=358)
e) North American Black patients (n=22)
f) American patients (n=196, 134 white, 55 African American, 5 Hispanic and 2 Asian)
b. Other clinical supportive data (when a is not applicable):
Not applicable.
4. Clinical cut-off:
Same as assay cut-off.
5. Expected values/Reference range:
Expected values in the normal population should be negative.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.