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FDA lab uncovers excess DNA contamination in COVID-19 vaccines

Published

5 months ago

8 minute read

Explosive revelations as a study conducted at FDA’s own lab found residual DNA levels exceeded safety limits by 6 to 470 times. Experts say it’s a ‘smoking gun.’

An explosive new study conducted within the U.S. Food and Drug Administration’s (FDA) own laboratory has revealed excessively high levels of DNA contamination in Pfizer’s mRNA COVID-19 vaccine.

Tests conducted at the FDA’s White Oak Campus in Maryland found that residual DNA levels exceeded regulatory safety limits by 6 to 470 times.

The study was undertaken by student researchers under the supervision of FDA scientists. The vaccine vials were sourced from BEI Resources, a trusted supplier affiliated with the National Institute of Allergy and Infectious Diseases (NIAID), previously headed by Anthony Fauci.

Recently published in the Journal of High School Science, the peer-reviewed study challenges years of dismissals by regulatory authorities, who had previously labelled concerns about excessive DNA contamination as baseless.

The FDA is expected to comment on the findings this week. However, the agency has yet to issue a public alert, recall the affected batches, or explain how vials exceeding safety standards were allowed to reach the market.

The Methods

The student researchers employed two primary analytical methods:

  • NanoDrop Analysis – This technique uses UV spectrometry to measure the combined levels of DNA and RNA in the vaccine. While it provides an initial assessment, it tends to overestimate DNA concentrations due to interference from RNA, even when RNA-removal kits are utilised.
  • Qubit Analysis – For more precise measurements, the researchers relied on the Qubit system, which quantifies double-stranded DNA using fluorometric dye.

Both methods confirmed the presence of DNA contamination far above permissible thresholds. These findings align with earlier reports from independent laboratories in the United States, Canada, Australia, Germany and France.

Expert Reaction

Kevin McKernan, a former director of the Human Genome Project, described the findings as a “bombshell,” criticising the FDA for its lack of transparency.

“These findings are significant not just for what they reveal but for what they suggest has been concealed from public scrutiny. Why has the FDA kept these data under wraps?” McKernan questioned.
CSO and Founder of Medicinal Genomics

While commending the students’ work, he also noted limitations in the study’s methods, which may have underestimated contamination levels.

“The Qubit analysis can under-detect DNA by up to 70% when enzymes are used during sample preparation,” McKernan explained. “Additionally, the Plasmid Prep kit used in the study does not efficiently capture small DNA fragments, further contributing to underestimation.”

In addition to genome integration, McKernan highlighted another potential cancer-causing mechanism of DNA contamination in the vaccines.

He explained that plasmid DNA fragments entering the cell’s cytoplasm with the help of lipid nanoparticles, could overstimulate the cGAS-STING pathway, a crucial component of the innate immune response.

“Chronic activation of the cGAS-STING pathway could paradoxically fuel cancer growth,” McKernan warned. “Repeated exposure to foreign DNA through COVID-19 boosters may amplify this risk over time, creating conditions conducive to cancer development.”

Adding to the controversy, traces of the SV40 promoter were detected among the DNA fragments. While the authors concluded these fragments were “non-replication-competent” meaning they cannot replicate in humans, McKernan disagreed.

“To assert that the DNA fragments are non-functional, they would need to transfect mammalian cells and perform sequencing, which wasn’t done here,” McKernan stated.

“Moreover, the methods used in this study don’t effectively capture the full length of DNA fragments. A more rigorous sequencing analysis could reveal SV40 fragments several thousand base pairs long, which would likely be functional,” he added.

Regulatory Oversight Under Scrutiny

Nikolai Petrovsky, a Professor of Immunology and director of Vaxine Pty Ltd, described the findings as a “smoking gun.”

“It clearly shows the FDA was aware of these data. Given that these studies were conducted in their own labs under the supervision of their own scientists, it would be hard to argue they were unaware,” he said.
Nikolai Petrovsky, Professor of Immunology and Infectious Disease at the Australian Respiratory and Sleep Medicine Institute in Adelaide

Prof Petrovsky praised the quality of work carried out by the students at the FDA labs.

“The irony is striking,” he remarked. “These students performed essential work that the regulators failed to do. It’s not overly complicated—we shouldn’t have had to rely on students to conduct tests that were the regulators’ responsibility in the first place.”

The Australian Therapeutic Goods Administration (TGA), which has consistently defended the safety of the mRNA vaccines, released its own batch testing results, claiming they met regulatory standards. However, Prof Petrovsky criticised the TGA’s testing methods.

“The TGA’s method was not fit for purpose,” he argued. “It didn’t assess all the DNA in the vials. It only looked for a small fragment, which would severely underestimate the total amount of DNA detected.”

Implications for Manufacturers and Regulators

Now that DNA contamination of the mRNA vaccines has been verified in the laboratory of an official agency and published in a peer-reviewed journal, it becomes difficult to ignore.

It also places vaccine manufacturers and regulators in a precarious position.

Addressing the contamination issue would likely require revising manufacturing processes to remove residual DNA, which Prof Petrovsky explained would be impractical.

“The only practical solution is for regulators to require manufacturers to demonstrate that the plasmid DNA levels in the vaccines are safe,” Prof Petrovsky stated.

“Otherwise, efforts to remove the residual DNA would result in an entirely new vaccine, requiring new trials and effectively restarting the process with an untested product.”

Now the onus is on regulators to provide clarity and take decisive action to restore confidence in their oversight. Anything less risks deepening the scepticism of the public.

Both the US and Australian drug regulators have been approached for comment.

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Pentagon agency to simulate lockdowns, mass vaccinations, public compliance messaging

Published on June 12, 2025

By

From LifeSiteNews

By Tim Hinchliffe

With lockdowns, mass vaccination campaigns, and social distancing still on the table from the last around, it appears that AI and Machine Learning will play a much bigger role in the next.

DARPA is getting into the business of simulating disease outbreaks, including modeling interventions such as mass vaccination campaigns, lockdowns, and communication strategies.

At the end of May, the U.S. Defense Advanced Research Projects Agency (DARPA) put out a Request for Information (RFI) seeking information regarding “state-of-the-art capabilities in the simulation of disease outbreaks.”

The Pentagon’s research and development funding arm wants to hear from academic, industry, commercial, and startup communities on how to develop “advanced capabilities that drive technical innovation and identify critical gaps in bio-surveillance, diagnostics, and medical countermeasures” in order to “improve preparedness for future public health emergencies.”

As if masks, social distancing, lockdowns, and vaccination mandates under the unscientific guise of slowing the spread and preventing the transmission of COVID weren’t harmful enough, the U.S. military wants to model the effects of these exact same countermeasures for future outbreaks.

The RFI also asks participants “Fatality Rate & Immune Status: How are fatality rates and varying levels of population immunity (natural or vaccine-induced) incorporated into your simulations?“

Does “natural or vaccine-induced” relate to “population immunity” or “fatality rates” or both?

Moving on, the RFI gets into modeling lockdowns, social distancing, and mass vaccination campaigns, along with communication strategies:

Intervention Strategies: Detail the range of intervention strategies that can be modeled, including (but not limited to) vaccination campaigns, social distancing measures, quarantine protocols, treatments, and public health communication strategies. Specifically, describe the ability to model early intervention and its impact on outbreak trajectory.

The fact that DARPA wants to model these so-called intervention strategies just after the entire world experienced them suggests that these exact same measures will most likely be used again in the future:

“We are committed to developing advanced modeling capabilities to optimize response strategies and inform the next generation of (bio)technology innovations to protect the population from biological threats. We are particularly focused on understanding the complex interplay of factors that drive outbreak spread and evaluating the effectiveness of potential interventions.” — DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.

“Identification of optimal timelines and capabilities to detect, identify, attribute, and respond to disease outbreaks, including but not limited to biosensor density deployment achieving optimal detection timelines, are of interest.” ­— DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.

With lockdowns, mass vaccination campaigns, and social distancing still on the table from the last around, it appears that AI and Machine Learning will play a much bigger role in the next.

For future innovation, the DARPA RFI asks applicants to: “Please describe any novel technical approaches – or applications of diverse technical fields (e.g., machine learning, artificial intelligence, complex systems theory, behavioral science) – that you believe would significantly enhance the state-of-the-art capabilities in this field or simulation of biological systems wholistically.”

Instead of putting a Dr. Fauci, a Dr. Birx, a replaceable CDC director, a TV doctor, a big pharma CEO, or a Cuomo brother out there to lie to your face about how they were all just following The ScienceTM, why not use AI and ML and combine them with behavioral sciences in order to concoct your “public health communications strategies?”

When you look at recently announced DARPA programs like Kallisti and MAGICS, which are aimed at creating an algorithmic Theory of Mind to model, predict, and influence collective human behavior, you start to get a sense of how all these programs can interweave:

“The MAGICS ARC calls for paradigm-shifting approaches for modeling complex, dynamic systems for predicting collective human behaviour.” — DARPA, MAGICS ARC, April 2025

On April 8, DARPA issued an Advanced Research Concepts (ARC) opportunity for a new program called “Methodological Advancements for Generalizable Insights into Complex Systems (MAGICS)” that seeks “new methods and paradigms for modeling collective human behavior.”

Nowhere in the MAGICS description does it mention modeling or predicting the behavior of “adversaries,” as is DARPA’s custom.

Instead, it talks at length about “modeling human systems,” along with anticipating, predicting, understanding, and forecasting “collective human behavior” and “complex social phenomena” derived from “sociotechnical data sets.”

Could DARPA’s MAGICS program be applied to simulating collective human behavior when it comes to the next public health emergency, be it real or perceived?

“The goal of an upcoming program will be to develop an algorithmic theory of mind to model adversaries’ situational awareness and predict future behaviour.” — DARPA, Theory of Mind Special Notice, December 2024.

In December 2024, DARPA launched a similar program called Theory of Mind, which was renamed Kallisti a month later.

The goal of Theory of Mind is to develop “new capabilities to enable national security decisionmakers to optimize strategies for deterring or incentivizing actions by adversaries,” according to a very brief special announcement.

DARPA never mentions who those “adversaries” are. In the case of a public health emergency, an adversary could be anyone who questions authoritative messaging.

The Theory of Mind program will also:

… seek to combine algorithms with human expertise to explore, in a modeling and simulation environment, potential courses of action in national security scenarios with far greater breadth and efficiency than is currently possible.

This would provide decisionmakers with more options for incentive frameworks while preventing unwanted escalation.

We are interested in a comprehensive overview of current and emerging technologies for disease outbreak simulation, how simulation approaches could be extended beyond standard modeling methods, and to understand how diseases spread within and between individuals including population level dynamics.

They say that all the modeling and simulating across programs is for “national security,” but that is a very broad term.

DARPA is in the business of research and development for national security purposes, so why is the Pentagon modeling disease outbreaks and intervention strategies while simultaneously looking to predict and manipulate collective human behavior?

If and when the next outbreak occurs, the same draconian and Orwellian measures that governments and corporations deployed in the name of combating COVID are still on the table.

And AI, Machine Learning, and the military will play an even bigger role than the last time around.

From analyzing wastewater to learning about disease spread; from developing pharmaceuticals to measuring the effects of lockdowns and vaccine passports, from modeling and predicting human behavior to coming up with messaging strategies to keep everyone in compliance – “improving preparedness for future public health emergencies” is becoming more militaristically algorithmic by the day.

“We are exploring innovative solutions to enhance our understanding of outbreak dynamics and to improve preparedness for future public health emergencies.” — DARPA, Advanced Disease Outbreak Simulation Capabilities RFI, May 2025.

Reprinted with permission from The Sociable.

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Business

Audit report reveals Canada’s controversial COVID travel app violated multiple rules

Published on June 11, 2025

By

From LifeSiteNews

By Anthony Murdoch

Canada’s Auditor General found that government procurement rules were not followed in creating the ArriveCAN app.

Canada’s Auditor General revealed that the former Liberal government under Prime Minister Justin Trudeau failed multiple times by violating contract procurement rules to create ArriveCAN, its controversial COVID travel app.

In a report released Tuesday, Auditor General Karen Hogan noted that between April 2015 to March 2024, the Trudeau government gave out 106 professional service contracts to GC Strategies Inc. This is the same company that made the ArriveCAN app.

The contracts were worth $92.7 million, with $64.5 million being paid out.

According to Hogan, Canada’s Border Services Agency gave four contracts to GC Strategies valued at $49.9 million. She noted that only 54 percent of the contracts delivered any goods.

“We concluded that professional services contracts awarded and payments made by federal organizations to GC Strategies and other companies incorporated by its co-founders were not in accordance with applicable policy instruments and that value for money for these contracts was not obtained,” Hogan said.

She continued, “Despite this, federal government officials consistently authorized payments.”

The report concluded that “Federal organizations need to ensure that public funds are spent with due regard for value for money, including in decisions about the procurement of professional services contracts.”

Hogan announced an investigation of ArriveCAN in November 2022 after the House of Commons voted 173-149 for a full audit of the controversial app.

Last year, Hogan published an audit of ArriveCAN and on Tuesday published a larger audit of the 106 contracts awarded to GC Strategies by 31 federal organizations under Trudeau’s watch.

‘Massive scandal,’ says Conservative leader Pierre Poilievre

Conservative Party leader Pierre Poilievre said Hogan’s report on the audit exposed multiple improprieties.

“This is a massive scandal,” he told reporters Tuesday.

“The facts are extraordinary. There was no evidence of added value. In a case where you see no added value, why are you paying the bill?”

ArriveCAN was introduced in April 2020 by the Trudeau government and made mandatory in November 2020. The app was used by the federal government to track the COVID jab status of those entering the country and enforce quarantines when deemed necessary.

ArriveCAN was supposed to have cost $80,000, but the number quickly ballooned to $54 million, with the latest figures showing it cost $59.5 million.

As for the app itself, it was riddled with technical glitches along with privacy concerns from users.

LifeSiteNews has published a wide variety of reports related to the ArriveCAN travel app.

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