In 2019, researchers reported Helicobacter pylori in most of the Morgellons dermatological specimens they examined and described the bacterium alongside Borrelia burgdorferi in mixed biofilm-like aggregates. Seven years later, an untargeted metagenomic study appeared to point back toward the same corner of the bacterial world. If that were true, it would be one of the most intriguing coincidences yet to emerge from Morgellons research. So I went looking for the evidence.
The resemblance seemed almost too neat. The 2019 investigators had gone looking specifically for H. pylori. They chose primers, fluorescent probes and antibodies designed to detect it in Morgellons skin. The authors of the 2026 metagenomic preprint did nothing comparable. They sequenced nonhuman genetic material recovered from lesion specimens and reconstructed whatever microbial genomes the samples happened to contain.
When I first worked through the newer study’s phylogenetic tree, one lesion-derived branch appeared to sit in the neighborhood of the genus Helicobacter—the same corner of the bacterial world the earlier team had targeted by hand. If that placement held, it would be difficult to dismiss as an artifact of asking the same question twice. One research team approached the lesions with a narrow hypothesis. Another, seven years later, approached them blind and seemed to land in the same unexpected place.
The Ulcer Bug Does Not Live in Skin
To understand why that would be strange, it helps to know what Helicobacter pylori normally is. It is a stomach bacterium—the ulcer bug. It lives in gastric acid, an environment so hostile that for most of the twentieth century the stomach was assumed to be sterile. Surviving it is essentially this organism’s specialty. Perhaps half the people on earth carry it, almost all of them in the stomach.
The physician who proved it caused ulcers, Barry Marshall, spent years being dismissed. In 1982 he drank a culture of the bacterium and gave himself gastritis to make the point. He and Robin Warren received the Nobel Prize in 2005.
That story is often invoked as a parable about stubborn establishments and vindicated outsiders. It is worth remembering how Marshall actually won. He did not prevail by insisting he was right. He prevailed by producing evidence his critics could inspect: he cultured the organism, reproduced the disease, and recovered it again. He made his claim checkable.
How H. pylori Overturned the Ulcer Consensus
Barry Marshall’s story is relevant here not because every controversial microbial hypothesis eventually proves correct, but because it demonstrates what scientific vindication requires. The proposed organism must be identified reliably, localized appropriately, connected to the disease process and reproduced through evidence that other researchers can inspect.
Skin is not where H. pylori belongs. Finding it in a skin lesion is closer to finding a deep-sea fish in a desert than to finding an ordinary skin bacterium in an ordinary wound. That is what made the 2019 report worth arguing about, and it is why a second, independent study appearing to point the same way would matter so much.
That is the coincidence worth chasing. A targeted study and an untargeted study, separated by seven years and using entirely different methods, appearing to converge on the same genus is exactly the kind of independent agreement that is hard to explain away—if it is real.
Whether it is real is the question this article follows. The answer turns out to depend on a single genome bin.
What the 2019 Study Reported
The 2019 paper examined dermatological material from 14 North American participants whose lesions contained red, white, blue or black filaments described as embedded in or projecting from the skin. Much of the sampled material consisted of thickened callus removed from affected areas.
Using nested polymerase chain reaction assays, the researchers reported Borrelia-associated targets in 10 of the 14 specimens and Helicobacter-associated targets in 12. Eight specimens produced at least one target attributed to each organism, while none was negative for both. The authors summarized their findings as detection of B. burgdorferi and H. pylori in Morgellons dermatological tissue.
Six specimens that tested positive for both proposed organisms underwent additional analysis using fluorescent in situ hybridization, immunohistochemical staining, histochemical markers and confocal microscopy. The researchers described overlapping microbial signals inside aggregate formations. They reported Helicobacter-associated reactivity nearer the exterior of some aggregates and Borrelia-associated reactivity concentrated more centrally. They also detected alginate-associated staining and several amyloid-related markers, interpreting the combined observations as evidence consistent with mixed bacterial biofilms.
This was more ambitious than reporting that two bacterial DNA fragments had been amplified from the same lesion. The authors proposed a physical structure: two organisms arranged inside an aggregate and surrounded by material interpreted as a protective biofilm matrix.
If accurate and reproducible, such a finding could matter enormously. It would not automatically establish that the biofilm initiated Morgellons, but it could identify a biological feature associated with lesion persistence, inflammation or antimicrobial tolerance.
For seven years, it stood largely alone. Nobody had approached Morgellons lesions without a hypothesis and seen what came back.
Then Someone Looked Without Looking For Anything
Lambert and Kindschuh approached Morgellons lesions very differently. Their study used deep shotgun metagenomic sequencing on specimens from five related people living in one household. Each participant provided a swab from postauricular skin and a separate sample composed of pooled fibrous lesion material.
The distinction matters. A targeted PCR assay can only find what it was built to find. Shotgun metagenomics reads whatever DNA is present and asks the databases afterward what it belongs to. It is closer to photographing a room than to searching it for one object.
After removing reads that mapped to the human genome, the researchers compared the remaining sequence content of the two specimen types. The lesion samples reportedly contained a greater proportion of nonhuman reads, produced larger and more variable assemblies and contained substantially more sequence that could not be classified confidently using standard microbial databases.
An average of 61.4 percent of nonhuman lesion reads remained unclassified, compared with 34 percent of postauricular reads. Among classified reads, lesion-derived reads were less likely to receive species-level assignments and had lower average classification support. Something was in the lesions that the reference databases did not recognize well.
The investigators assembled 429 metagenome-assembled genome bins, or MAGs. A MAG is a computational reconstruction created by grouping sequence fragments believed to originate from the same microbial population. It is not necessarily a complete genome, a cultured organism or evidence that the organism was alive within tissue.
Of the 429 bins, 345 came from lesion material and 84 from postauricular samples. After filtering and dereplication, the researchers used representative genomes to examine abundance patterns and construct a phylogenetic tree. They reported branches composed entirely of lesion-derived genomes, including one branch assembled only from lesions supplied by the two participants reporting more substantial systemic symptoms.
That tree is where the story appeared to open up. The paper’s own conclusion was deliberately modest: a phylogenetically structured microbial signature that differed between pooled lesion material and postauricular skin, with much of the lesion sequence poorly represented in existing databases. The authors did not claim to have identified a causal pathogen. They called for larger cohorts and complementary laboratory methods. The work remains a bioRxiv preprint and has not completed formal peer review.
But a tree invites reading. And when patient-community discussion—including my own first pass through the figures—read this one, a lesion-derived branch appeared to fall near the genus Helicobacter.
Nobody had asked the data for Helicobacter. That is precisely why it seemed to matter.
Two studies, two questions
Targeted 2019 vs untargeted 2026
Went looking for Helicobacter
Middelveen et al., Healthcare 2019;7(2):70
- Nested PCR with primers chosen for Borrelia and Helicobacter
- FISH, immunostaining and confocal microscopy on six selected specimens
- 14 specimens; Helicobacter-associated targets in 12, Borrelia-associated in 10
- Eight positive for both; none negative for both
- Aggregates interpreted as mixed biofilms
- Closest sequence matches were not uniform: H. pylori, H. canis, Wolinella, Arcobacter
Went looking for nothing in particular
Lambert & Kindschuh, bioRxiv preprint (not peer reviewed)
- Shotgun sequencing of all nonhuman DNA in the samples
- Five related participants in one household; pooled lesion material vs postauricular skin
- 429 genome bins assembled — 345 from lesions, 84 from skin
- 61.4% of nonhuman lesion DNA could not be classified, vs 34% for skin
- A lesion-associated microbial signature, no causal organism named
- The manuscript reports no Helicobacter result and no Borrelia bin
What has not been shown
- No genome bin, accession or classification output has been produced to support the claim that the 2026 study found Helicobacter.
- The 2019 study compared lesions to healthy skin, not to ordinary chronic wounds or excoriated skin.
- The 2026 preprint reports no sequenced extraction blanks or negative controls.
- Neither study reproduces the proposed Borrelia–Helicobacter partnership.
One study asked whether a specific organism was present. The other asked what was present at all. They have not yet been shown to have arrived at the same answer — because the answer attributed to the second study has not been located in it.
I Went Looking for the Bin
An impression from a figure is not a result. If a lesion-derived genome really had been assigned to Helicobacter, there would be a specific object behind it: a genome-bin identifier, a taxonomic assignment, a sample of origin, an abundance value, a completeness estimate and a defined position in the phylogenetic tree. That object either exists or it does not.
So I went to find it.
I am not a microbiologist, and this article does not attempt to perform science. It attempts something narrower and, in this field, surprisingly rare: checking whether a widely repeated claim can be traced back to a document that actually says it. That work does not require a laboratory. It requires reading the paper.
I reviewed the official bioRxiv manuscript text, the displayed figures, the captions and the public data disclosures. I found no author-reported Helicobacter result, no named Helicobacter metagenome-assembled genome and no public sequence or bin accession through which such an assignment could be audited. The genus does not appear in the manuscript’s written results or conclusions.
I was unable to obtain a separate bin-level GTDB-Tk or Kraken classification table, or a deposited MAG archive. An assignment could still exist in underlying output that was not publicly available through the sources I reviewed. I cannot rule that in or out.
I also wrote to the corresponding author, Dr. William Kindschuh, asking whether the dataset contains a lesion-derived MAG assigned to Helicobacter and, if so, where that assignment can be inspected. No response had been received as of publication.
Lambert and Kindschuh do not owe readers evidence for a claim they never made. The burden belongs to those of us—including me—who read or circulated the preprint as containing a Helicobacter result. Before that reading can support an argument about scientific convergence, the corresponding genome bin or classification output has to be identified.
The convergence I set out to write about cannot presently be shown to exist.
Why the Exact Bin Matters
It may sound overly technical to insist on a genome-bin identifier. It is not.
Without the exact bin, readers cannot determine whether the proposed assignment came from a lesion or a comparison sample, how complete the reconstructed genome was, how much contamination was estimated, how abundant it was, or whether the classification software assigned it formally to Helicobacter at all.
A bin might fall broadly within Campylobacterota while remaining unclassified at lower ranks. It might rest on a weak phylogenetic placement rather than a formal genus assignment. It might be a partial reconstruction with limited discriminatory value. It could also be a well-supported Helicobacter MAG that simply was not emphasized in the manuscript. Those possibilities have very different meanings, and a branch position in a published figure cannot distinguish between them.
If a high-quality lesion-derived MAG really was formally assigned to Helicobacter, the untargeted nature of the study would make the observation legitimately interesting. The pipeline was not constructed to recover that genus, and Helicobacter is not ordinarily highlighted as a dominant organism in large chronic-wound microbiome studies. The claim is worth wanting to be true.
Wanting it is not the same as showing it. Until someone can provide the relevant MAG identifier and classification output, the statement that the 2026 study “found Helicobacter” should not be repeated as an established result.
The 2019 H. pylori Finding Was Not Uniform Either
If the newer half of the convergence dissolves under inspection, the older half deserves the same scrutiny. It does not entirely survive it.
The 2019 study is frequently summarized as finding H. pylori in 12 of 14 Morgellons specimens. The paper’s own sequence table presents a more complicated picture.
Several PCR products produced closest database matches to H. pylori. Others matched Helicobacter canis. Participant 3 had 16S products whose closest match was Wolinella succinogenes, while participant 14 had 23S products matching Arcobacter butzleri. These organisms occupy related territory within the order Campylobacterales and the modern phylum Campylobacterota, but they are not all H. pylori.
The inconsistency sometimes occurred within the same participant. A specimen could produce one target most similar to H. canis while other targets were interpreted as H. pylori.
The most striking example appears in participant 14. Two 23S amplicons matched Arcobacter butzleri with 99 percent identity and more than 95 percent query coverage. The forward ureA amplicon showed 91 percent identity to H. pylori across 76 percent of the query sequence. The reverse ureA amplicon was substantially weaker, showing only 76 percent identity across 48 percent of the query.
That reverse alignment is particularly weak support for a confident species-level identification. A sequence may return H. pylori as its closest available database match while remaining too incomplete or dissimilar to establish that it originated from that species.
Short targeted amplicons may also contain genetic regions conserved across related bacteria. Under those conditions, PCR can genuinely detect microbial DNA from the intended evolutionary neighborhood without supplying enough discriminatory information to identify one species reliably.
This does not prove that every 2019 result was false. Several products had high identity and substantial coverage with H. pylori. It does mean that the clean headline—“H. pylori was found in 12 of 14 specimens”—compresses heterogeneous sequence evidence into a level of taxonomic certainty the table does not consistently support.
A more defensible summary is that the researchers recovered targeted sequences interpreted as H. pylori-associated, while several of the closest matches pointed toward other Helicobacter species or related Campylobacterota. That remains an interesting observation. It is not the same as repeatedly confirming one gastric pathogen in skin.
Both halves of the coincidence, it turns out, are blurrier than their headlines.
Did the Researchers Demonstrate a Mixed Biofilm?
The species ambiguity does not automatically dispose of the 2019 paper’s spatial evidence. The investigators also attempted to visualize bacterial targets inside tissue aggregates using FISH, immunostaining and confocal microscopy.
This matters because PCR alone cannot establish a biofilm. Two organisms may be detected in the same homogenized specimen without ever occupying the same microscopic location. A mixed biofilm requires evidence that distinguishable organisms exist in close proximity within an organized structure, ideally accompanied by a matrix and signs that the community is biologically active.
The 2019 researchers deserve credit for attempting to address that problem rather than relying entirely on bulk molecular detection. Their FISH protocol included several reported controls, including a random oligonucleotide, an unlabeled competing oligonucleotide and DNase treatment of tissue sections.
Important uncertainties nevertheless remain. The extended imaging and staining were performed on six selected specimens that had already tested positive for both proposed organisms. The study did not apply the same complete protocol to a substantial group of non-Morgellons chronic wounds, infected calluses, excoriated dermatitis, prurigo nodules or other damaged lesions likely to contain mixed microbes and inflammatory aggregates.
Normal skin is useful as a negative control, but it does not address the most important competing explanation. To establish Morgellons specificity, the structures would need to differ from what occurs in ordinary chronic, colonized or repeatedly manipulated skin.
The matrix-associated markers also require careful interpretation. Alginate staining may support a biofilm hypothesis, but it does not identify which organism produced the material or demonstrate metabolic activity. Thioflavin binds amyloid-like structures without establishing whether they are bacterial or host-derived. One beta-amyloid antibody was negative across the six specimens while another produced positive staining. Phosphorylated-tau reactivity in cutaneous aggregates is sufficiently unusual that cross-reactivity and nonspecific binding would need rigorous validation against comparable inflammatory tissue.
A 2020 review of mixed-species biofilms discussed the Morgellons paper directly. Its authors noted that bacterial morphology could not be seen adequately in the published images, making the structural composition of the reported aggregates difficult to evaluate. Their broader point was that detecting multiple species through molecular methods is not equivalent to visually demonstrating how those species are organized within the same biofilm.
The 2019 paper therefore produced provocative, multi-method evidence. It did not establish beyond dispute that the aggregates were viable, Morgellons-specific, mixed Borrelia–Helicobacter biofilms.
The Missing Borrelia Partner
Suppose the bin turns up tomorrow. Suppose it is clean, lesion-derived and formally assigned to Helicobacter. Even then, it would not reproduce the central model proposed in 2019.
The earlier paper did not describe an isolated association with Helicobacter. It proposed a partnership between B. burgdorferi and H. pylori, with both organisms reportedly occupying mixed aggregates. Borrelia was not a minor addition. It was the primary organism around which much of the infectious Morgellons hypothesis had already been constructed.
The 2026 preprint discusses earlier Borrelia research as background but does not report a lesion-associated Borrelia MAG or identify Borrelia as part of its newly recovered microbial signature.
That does not prove the raw reads contained no Borrelia-related material. Shotgun metagenomics can fail to reconstruct a low-abundance organism when coverage is sparse or uneven. The narrower conclusion is that the newer study did not reproduce the proposed Borrelia–Helicobacter partnership among its reported findings.
A possible echo of one bacterial neighborhood cannot be treated as confirmation of the full 2019 biofilm model. Half a convergence is not a convergence.
One Household, Unmatched Specimens and Many Possible Explanations
The preprint’s five participants were related and shared one home. This offered an opportunity to examine a family cluster, but it did not provide five independent environmental exposures.
Cohabitants may share water, food, household dust, laundry, bedding, personal-care products, pets and direct microbial transfer. A microbial lineage found in several members could reflect a common disease process, but it could also reflect a shared environment or transfer within the household.
The two specimen types also differed in more than lesion status. Pooled fibrous lesion material was compared with intact postauricular skin collected by swabbing. The samples differed in anatomical location, collection method, physical composition, barrier integrity and likely microbial biomass.
A crusted or open lesion may contain serum, damaged cells, dried exudate, skin-surface organisms and material transferred from hands, fingernails, clothing, dressings or topical products. A postauricular swab represents a different biological compartment. Finding different microbial profiles in those specimens does not by itself identify a Morgellons-specific microbiome.
The paper also does not report sequenced extraction blanks, unused collection-kit controls or negative-control libraries. That does not demonstrate contamination, but it prevents unusual taxonomic assignments from being compared directly with background DNA introduced by collection materials, reagents or laboratory processing.
Salter and colleagues demonstrated that bacterial DNA present in extraction kits and laboratory reagents can distort both 16S and shotgun metagenomic analyses, particularly in low-biomass samples. Their work established the importance of sequencing negative controls alongside biological specimens. It does not prove that any particular taxon is a reagent contaminant; it establishes a possibility that must be tested rather than assumed.
The look-elsewhere problem adds a separate concern, and it applies directly to how this article began. The newer study generated hundreds of reconstructed genome bins, while previous Morgellons research and community discussion have proposed numerous candidate organisms. When hundreds of taxonomic outputs are scanned retrospectively against a long list of familiar names, some apparent matches become increasingly likely by chance alone.
The meaningful question is not whether a recognizable genus can be found somewhere in the output. It is whether the candidate was confidently classified, consistently enriched, biologically abundant and absent from appropriate controls.
Could Lesion Ecology Explain the Microbial Differences?
A chronic lesion is not simply normal skin with an opening in it. It is an altered ecological niche.
Barrier damage exposes serum proteins, injured cells and nutrients unavailable on intact skin. Inflammation alters local oxygen, pH and immune activity. Scratching, washing, covering and applying topical substances change the environment further. Microorganisms uncommon on healthy skin may colonize damaged tissue without having initiated the lesion.
Finding a bacterium in the ashes does not prove that it started the fire.
Secondary organisms are not necessarily irrelevant. Colonization can prolong inflammation, interfere with healing and become clinically important after another process creates the lesion. A microbe might function as an initiator, contributor, opportunist, passenger or contaminant.
Neither study can confidently place a Helicobacter-related organism into one of those categories. The 2019 study lacked comparable chronic-lesion controls. The 2026 preprint compared pooled lesions with intact skin from a different site and did not preserve the spatial relationship between microbial DNA and surrounding tissue.
The CDC-supported Kaiser Permanente investigation provides useful baseline context. It studied 115 people meeting a broad definition based on reported material emerging from the skin together with lesions or disturbing sensations. No common infectious source was identified. Many biopsies were compatible with chronic excoriation or irritation, and much of the analyzed submitted material was cellulose consistent with cotton.
That study did not use the narrow filament-based case definition favored by infectious-Morgellons researchers, so it cannot resolve every question about carefully documented tissue-associated filaments. It does demonstrate why lesion microorganisms must be compared with ordinary wounds and excoriated skin rather than only with healthy controls.
The Experiment That Could Settle the Question
A useful follow-up should begin with well-characterized lesions rather than a preferred organism.
Researchers should recruit unrelated participants and photograph filaments in place before removal, preserving scale, magnification and anatomical context. Each lesion should be sampled alongside adjacent unaffected skin from the same body site and a distant site collected through a comparable method.
The study must also include relevant disease controls: chronic wounds, excoriated dermatitis, prurigo, infected calluses, folliculitis and other lesions capable of containing crusts, foreign material and mixed microbial communities. Normal skin alone cannot determine whether a finding is specific to Morgellons or merely associated with tissue damage.
Unused swabs, collection tubes, extraction blanks, library-preparation blanks and household environmental samples should be sequenced alongside the clinical specimens. Any candidate MAG should be disclosed with its full taxonomic pathway, completeness, contamination estimate, genome size, abundance and distribution across cases and controls.
The same lesion should then be divided among complementary methods. Untargeted metagenomics could characterize the wider community. Longer targeted sequencing could distinguish H. pylori from other Helicobacter species or more distant Campylobacterota. FISH, histology and high-resolution microscopy could determine whether the organism lies on the lesion surface, inside tissue or within an organized aggregate. Culture, RNA analysis or another viability method could help distinguish living organisms from residual DNA.
Blinded interpretation and replication by a second laboratory would be essential.
Such a design could answer two separate questions: whether a Helicobacter-related organism is reproducibly enriched in carefully documented Morgellons lesions, and whether its location and activity suggest participation in the disease rather than colonization of the resulting wound.
What Began as Convergence Became a Source Audit
This article set out to describe an extraordinary scientific coincidence. A 2019 study reported H. pylori in Morgellons skin and interpreted selected aggregates as mixed Borrelia–Helicobacter biofilms. Seven years later, an untargeted metagenomic study appeared to point at the same genus without having been asked to.
Closer examination changed both sides of that comparison.
The 2019 paper did not produce one uniform H. pylori sequence result. Its own table included matches to H. canis, Wolinella succinogenes and Arcobacter butzleri, along with several H. pylori matches of varying strength and coverage. The study may have detected bacterial material within a related phylogenetic neighborhood, but its species-level headline is cleaner than its underlying results.
The 2026 preprint, meanwhile, does not report Helicobacter in its public manuscript. No named Helicobacter MAG or publicly auditable bin has yet been produced to support that reading. Its authors reported a broad lesion-associated microbial signature containing large amounts of poorly classified sequence—not H. pylori, not a validated Helicobacter finding and not a mixed Borrelia–Helicobacter biofilm.
This does not prove that no relevant bin exists in the underlying data. It means those of us advancing the connection have not yet shown where it is.
The mystery therefore survives, but in a different form. We do not currently have two studies independently converging on Helicobacter. We have one targeted study whose taxonomic results were more heterogeneous than its title suggests, and one untargeted study onto which a Helicobacter reading has been placed without a publicly traceable bin.
That reading may ultimately prove correct. There is a real chance that somewhere in 429 genome bins sits the most interesting object in Morgellons research. But the first step is not another claim about causation or treatment.
It is to find the bin, publish the classification and let others look at it.
If a reader can identify the relevant genome bin, supplementary classification or deposited sequence record, please send it to MorgellonsSurvey.org. The evidence will be examined, and this article will be corrected or updated accordingly.
References
Lambert AN, Kindschuh WF. “Metagenomics Reveals a Phylogenetically Informed Microbial Signature Associated With Morgellons Disease.” bioRxiv preprint. 2026. doi:10.64898/2026.04.15.718803.
Middelveen MJ, Filush KR, Bandoski C, et al. “Mixed Borrelia burgdorferi and Helicobacter pylori Biofilms in Morgellons Disease Dermatological Specimens.” Healthcare. 2019;7(2):70. doi:10.3390/healthcare7020070.
Kvich L, Burmølle M, Bjarnsholt T, Lichtenberg M. “Do Mixed-Species Biofilms Dominate in Chronic Infections? Need for In Situ Visualization of Bacterial Organization.” Frontiers in Cellular and Infection Microbiology. 2020;10:396. doi:10.3389/fcimb.2020.00396.
Pearson ML, Selby JV, Katz KA, et al. “Clinical, Epidemiologic, Histopathologic and Molecular Features of an Unexplained Dermopathy.” PLOS ONE. 2012;7(1):e29908. doi:10.1371/journal.pone.0029908.
Salter SJ, Cox MJ, Turek EM, et al. “Reagent and Laboratory Contamination Can Critically Impact Sequence-Based Microbiome Analyses.” BMC Biology. 2014;12:87. doi:10.1186/s12915-014-0087-z.
