Literature DB >> 31887174

Transfer of skin microbiota between two dissimilar autologous microenvironments: A pilot study.

Benji Perin1, Amin Addetia2, Xuan Qin2,3.   

Abstract

Dysbiosis of skin microbiota is associated with several inflammatory skin conditions, including atopic dermatitis, acne, and hidradenitis suppurativa. There is a surge of interest by clinicians and the lay public to explore targeted bacteriotherapy to treat these dermatologic conditions. To date, skin microbiota transplantation studies have focused on moving single, enriched strains of bacteria to target sites rather than a whole community. In this prospective pilot study, we examined the feasibility of transferring unenriched skin microbiota communities between two anatomical sites of the same host. We enrolled four healthy volunteers (median age: 28 [range: 24, 36] years; 2 [50%] female) who underwent collection and transfer of skin microbiota from the forearm to the back unidirectionally. Using culture methods and 16S rRNA V1-V3 deep sequencing, we compared baseline and mixed ("transplant") communities, at T = 0 and T = 24 hours. Our ability to detect movement from one site to the other relied on the inherent diversity of the microenvironment of the antecubital fossa relative to the less diverse back. Comparing bacterial species present in the arm and mixed ("transplant") communities that were absent from the baseline back, we saw evidence of transfer of a partial DNA signature; our methods limit conclusions regarding the viability of transferred organisms. We conclude that unenriched transfer of whole cutaneous microbiota is challenging, but our simple technique, intended to move viable skin organisms from one site to another, is worthy of further investigation.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 31887174      PMCID: PMC6936845          DOI: 10.1371/journal.pone.0226857

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Until recently, skin microbiota research has been primarily descriptive. Foundational studies in healthy subjects have revealed remarkable topographical diversity [1] and temporal stability [2]. Increasingly, we are recognizing associations between microbial dysbiosis and inflammatory skin conditions. Most clearly elucidated with the role of Staphylococcus aureus in atopic dermatitis [3,4], important microbial trends of dysbiosis are also emerging in acne [5,6] and hidradenitis suppurativa [7], among other conditions. The clinical promise of transferring microbiota has been demonstrated with fecal microbiota transplantation, which has shown curative potential on the individual level (C. difficile colitis) in addition to its benefit to the greater biosphere with enhanced antimicrobial stewardship [8,9]. In the emerging field of cutaneous bacteriotherapy, studies have focused on applying a single species to target sites to treat atopic dermatitis, given these species' ability to inhibit Staphylococcus aureus growth [10-12]. No studies to date have explored the feasibility of performing a skin microbiota transplant that moves the entire cutaneous bacterial community, with its complex web of metabolic interactions. The mechanistic significance of transferring a community rests upon the fact that many microbes need their community partner, ie some microbes make associations of obligately mutualistic metabolism, sometimes termed syntrophy, or cross-feeding mode of living [13]. In humans, research in this area has focused on pathogens that evolve co-dependent isogenic variants, acting like a multicellular organism to produce functional antibiotic resistance [14,15] However, in human gut microbiome research, there is emerging evidence of cross-feeding of commensal bacteria to produce bioactive short chain fatty acids in the healthy host [16-18]. Given this growing body of evidence for syntrophy in microbial systems of the healthy human host, we believe that transferring the naive microbial community without species bias introduced by an enrichment step in vitro, is a valid investigational approach for the treatment of inflammatory skin disease. Within this context, our study asks whether moving superficial cutaneous microbial communities is feasible. Our experimental design relies on the topographical variation of skin microbiota within a single host. We selected sites with a contrasting composition of microbes, the antecubital fossa and the upper back [1]. Using both sequencing and traditional microbiological culture, we took the advantage of the differences in baseline populations to distinguish a signal of successful transfer. Here, we aim to follow the signal of these transferred species and demonstrate that a simple and inexpensive method for moving superficial skin microbiota can create a viable and representative transplant.

Materials and methods

The study was approved by Seattle Children's Institutional Review Board. Written consent was obtained for study participants. The study was conducted at Seattle Children’s Hospital from January-March 2017.

Recruitment of study participants

Healthy medical students 23–37 years of age were recruited for the study from the University of Washington School of Medicine, screened with exclusion criteria by questionnaire, and consented at the time of the screening swab. Exclusion criteria were no antibiotics in the last six months; generally healthy; no skin disease other than acne, keratosis pilaris, or dry skin; no soaping/scrubbing of arms and back when bathing; no bathing with antibacterial soap. Because our preliminary trials revealed that skin microbiota biomass varies considerably between individuals, volunteers' antecubital fossae were screened for a minimum bioburden. To assess bioburden, a moistened swab (BD, ESwab) with 0.85% sterile saline; (Remel) was vigorously rubbed on a 2cm x 2 cm area of antecubital fossa. This is the same saline we use throughout the experiment, including for collection of baseline samples, collecting bacteria for transfer pellet, and recovering the transferred pellet. The swab was placed in 1 mL of modified liquid Amies medium (BD) and vortexed for 30 seconds. A blood agar (BA) plate (Remel) was inoculated with 0.1 mL of the Amies medium and incubated aerobically at 35°C for 48 hours. We calculated cutaneous biomass and evaluated each volunteer’s bioburden. We set a limit of >1000 colony forming units per milliliter Amies medium (CFU/mL) for inclusion criteria. Using cutaneous bacterial biomass as inclusion criteria ensured there was sufficient bioburden for our subsequent analyses. We screened nine volunteers, all of whom gave written informed consent. Of them, two men and two women (median age: 28 [range: 24, 36]) had sufficient biomass for inclusion. The individual in this manuscript (identifiable in S1 Photo) has given written informed consent (as outlined in PLOS consent form) to publish these case details.

Collection of baseline samples

Study participants did not bathe for at least 24 hours prior to sampling. On the day of sampling, the subject’s arms and back were fitted with pre-constructed, raised grids of waterproof medical tape (Nexcare Absolute Waterproof, 3M; S1 Photo; Fig 1). Baseline samples (Ba, Bb; Fig 1) from the arms (Ba) and back (Bb) were obtained by vigorously rubbing the designated 2.5 cm x 3.0 cm grid-squares for 30 seconds with dampened swabs. For all adjacent samples, swabs of one grid-square in went in 1 mL Amies for culture, and the other grid-square in 0.5 mL of PowerBead solution (Qiagen) for PCR. Culture and PCR methods are outlined in detail in the following sections.
Fig 1

Overview of sites for one replicate of the experiment (one replicate equals one anatomic “side” of a study subject, here right arm and back).

For each pair of adjacent samples, one is cultured, one is sequenced. [Ba] Baseline samples of arm at T = 0; [Bb] Baseline samples of back at T = 0; [D] donor sites for generation of bacterial pellet (transplant); [T0 ] T = 0 samples of recipient sites for bacterial pellet (transplant) mixed with back microbiota; [Bb24 ] baseline samples of back at T = 24; [T24 ] T = 24 samples of recipient sites for bacterial pellet (transplant) mixed with back microbiota.

Overview of sites for one replicate of the experiment (one replicate equals one anatomic “side” of a study subject, here right arm and back).

For each pair of adjacent samples, one is cultured, one is sequenced. [Ba] Baseline samples of arm at T = 0; [Bb] Baseline samples of back at T = 0; [D] donor sites for generation of bacterial pellet (transplant); [T0 ] T = 0 samples of recipient sites for bacterial pellet (transplant) mixed with back microbiota; [Bb24 ] baseline samples of back at T = 24; [T24 ] T = 24 samples of recipient sites for bacterial pellet (transplant) mixed with back microbiota.

Moving the arm microbiota to the back

To create the bacterial transfer pellets, the donor sites (D; Fig 1) were vigorously rubbed with dampened swabs. We then submerged each swab in 1 mL saline and vortexed for 30 seconds. Next, we transferred the saline to a DNA-free microcentrifuge tube and centrifuged at 2,000 x g for 5 minutes, followed by a second, equivalent centrifugation with the tube rotated 180 degrees [19]. This created a pellet in the apex of the tube. We removed all but 50 μL of supernatant, and resuspended the pellet in the remaining supernatant, creating a solution with the consistency of thick mucus. This solution was pipetted directly onto the appropriate recipient site (T, T; Fig 1), and spread with a disposable inoculating loop (Fisherbrand). There was no pre-treatment of the recipient sites prior to transfer.

Assessing the efficacy of our microbiota transfer technique

To assess the efficacy of our technique, we collected transferred pellet samples immediately and 24 hours after we spread the pellet across the recipient sites (T, T; Fig 1). The T samples were collected with the same method used for obtaining the baseline samples as described above (Fig 2).
Fig 2

Study overview—methods and analysis.

[A] Baseline samples collected from arm and back; [B] making and transferring the bacterial pellet (transplant); [C] sampling of recipient sites comprised of bacterial pellet mixed with resident back microbiota at T = 0 and T = 24 hours; [D] comparison of T0, T24 (mixed) sites to baseline sites (looking for evidence of cultured organisms and sequenced taxa that exist in the baseline arm and T0, T24 samples, but are absent in baseline back samples, which serve as controls).

Study overview—methods and analysis.

[A] Baseline samples collected from arm and back; [B] making and transferring the bacterial pellet (transplant); [C] sampling of recipient sites comprised of bacterial pellet mixed with resident back microbiota at T = 0 and T = 24 hours; [D] comparison of T0, T24 (mixed) sites to baseline sites (looking for evidence of cultured organisms and sequenced taxa that exist in the baseline arm and T0, T24 samples, but are absent in baseline back samples, which serve as controls). After 24 hours, we recreated the tape grids in exactly the same position on the subject's back (marked on day one with surgical pen). Study subjects were instructed not to bath between placement and harvest of the bacterial pellet. We then collected the transferred pellet samples (T; Fig 1) and baseline back samples (Bb; Fig 1). All the T = 0 and T = 24 samples were analyzed by both bacterial culture and 16S rRNA deep sequencing (Fig 2). In total, there were eight replicates of the entire experiment: one on each anatomical side of the four participants (one replicate being right arm + right upper back; second replicate being left arm + left upper back). For every replicate, culture and 16S deep sequencing each owned an adjacent grid-square at each time point.

Analyzing microbiota composition with 16S rRNA sequencing

The swabs were placed into 0.5 mL of PowerBead solution (Qiagen) and vortexed for 30 seconds. The samples were transferred to bead tubes provided with the DNeasy PowerSoil Kit (Qiagen), and 0.06 mL of C1 solution was added to each tube. The tubes were briefly vortexed and incubated at 70°C for 10 minutes. The samples were lysed with a Precellys24 (Bertin Technologies) operated at 5000 RPM for 30 seconds. The manufacturer’s instructions were followed for the remaining extraction and purification steps. A negative (reagent-only) control and a positive control of five organisms–Candida albicans ATCC 10231, Staphylococcus aureus ATCC 29213, Streptococcus pneumoniae ATCC 49619, Pseudomonas aeruginosa ATCC 27853 and Haemophilus influenza ATCC 49247 –were included with each set of extractions. Negative environmental control swabs (swabs that were opened and exposed to the air of the sampling room for about 15 seconds) were collected for each subject (both at T = 0 and T = 24) and extracted concurrently with the experimental swabs. All amplification and deep sequencing was completed by the University of Minnesota Genomics Center (UMGC), with the V1-V3 region of the 16S rRNA gene amplified using the UMGC dual-indexing protocol, as previously described [20]. Sequencing was completed on the Illumina MiSeq using the 300 base pair, paired end approach. Fastq files were uploaded to One Codex [21] and taxa assigned according to the targeted loci database (closed reference). The read counts for each sample were analyzed using Calypso v8.20 [22], without read filter or removal of rare taxa, using total sum normalization without transformation, and the Greengenes taxonomy database (v13.8). Shannon Index was used for beta diversity analysis, and PCoA plot with Bray-Curtis index for comparing community structure.

Analyzing microbiota composition with traditional culture methods

Swabs were placed in 1 mL of modified liquid Amies medium and vortexed for 30 seconds. A BA plate, mannitol salt agar (MSA) plate (BD) and phenylethyl alcohol agar (PEA) plate (Remel) were each inoculated with 0.1mL of Amies medium. An additional BA plate was inoculated with 0.1 mL of a 1:10 dilution of Amies medium and a third BA plate was inoculated with 0.1 mL of a 1:100 dilution of Amies medium. A 2 mL aliquot of Reasoner’s 2A (R2A) broth (Teknova) containing a vancomycin disk (30 μg, BD) and 0.05 mL of amphotericin B (250 μg/mL, Fisher) [23] was inoculated with 0.5 mL of Amies media. The BA and MSA plates were incubated aerobically at 35°C for 48 hours and screened for growth. Each unique morphotype was subcultured to a BA plate and identified via matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS, Bruker Daltonics Inc.). Colony counts, measured in CFU/mL, were obtained for each morphotype. The PEA plate was placed in a sealed box with an AnaeroPack System (MGC) and incubated at 35°C for 120 hours. The R2A broth was incubated at 32°C at a constant shaking of 150 RPM for 48 hours. A BA plate was inoculated with 0.2 mL of R2A broth and incubated aerobically at 35°C for 48 hours. As with the BA plates, for the PEA and R2A-inoculated plates each unique morphotype was identified via MALDI-TOF MS. We classified two bacterial isolates as the “same” only when both the MALDI identification and the pattern of morphological properties (by size, shape, pigment, texture, etc.) of the two organisms were identical. Colony morphologies and MALDI identifications were compared between plates grown from all sites on the same side of each study participant’s body (plates compared within each replicate of the experiment). Use of colony morphology to identify different species is a common tool in microbiology; colony morphology has also been shown to distinguish different strains of the same bacterial species [24].

Results

At baseline with the 16S deep sequencing data, we found the microbial community of the antecubital fossa (Ba) was more diverse than the back (Bb) in all four subjects. This is reflected by the number of distinct species found at each site (median: 232 species unique to Ba [range: 120, 363]; 57 unique to Bb [28, 103]; and 155 shared between Ba and Bb [123, 252]) and also in the increased Shannon diversity of the arm as compared to the back (significant in 5/8 replicates) (Fig 3A).
Fig 3

Boxplot of Shannon Diversity Index for each replicate of the experiment: subjects 1–4, [R]ight and [L]eft side.

Shannon Diversity weighs both the number of different species and their relative abundance in the sample. Here we compare (a) baseline arm [Ba] samples to baseline back samples [Bb], and (b) Bb samples to recipient sites for bacterial pellet at T = 0 [T0]. Significant difference (p<0.05) by ANOVA analysis is denoted with a (*). There was no significant difference nor trend comparing Bb24 and T24 samples; for this reason they are not included here.

Boxplot of Shannon Diversity Index for each replicate of the experiment: subjects 1–4, [R]ight and [L]eft side.

Shannon Diversity weighs both the number of different species and their relative abundance in the sample. Here we compare (a) baseline arm [Ba] samples to baseline back samples [Bb], and (b) Bb samples to recipient sites for bacterial pellet at T = 0 [T0]. Significant difference (p<0.05) by ANOVA analysis is denoted with a (*). There was no significant difference nor trend comparing Bb24 and T24 samples; for this reason they are not included here. Comparisons of relative abundance of bacteria in the arm and back samples also demonstrate the differences in microbial signature between the two anatomical sites (Fig 4). Although Cutibacterium accounted for the majority of reads in most back samples, this was not true for the much more diverse antecubital fossae. Fig 4 also demonstrates that while antecubital fossae across individuals show commonalities (Staphylococcus, Streptococcus, and Corynebacterium species playing prominent roles along with Cutibacterium), we also see differences between study subjects that set them easily apart. Subject 2 hosts notable quantities of Fusobacterium; subject 3, Simonsiela (commonly found in the oral cavity of dogs); and subject 4, Micrococcus. These differences form the basis for the growing field of microbiome forensics [25].
Fig 4

Relative readcount by genus (% of classified reads).

(a) Subject 1, (b) Subject 2, (c) Subject 3, (d) Subject 4. While the differences between the baseline arm [Ba] and back [Bb] are striking at this resolution, evidence of successful movement of arm bacteria is more difficult to discern in the samples of recipient sites [T0, T24]. The 18 most common genera (>3% total reads in a sample) are labelled with a corresponding color. Genera with between 1% and 3% total reads have their own color but are not labelled in the key; these species are marked with diagonal lines to distinguish them from those in the color key. Genera with <1% are grouped in “other”. On average, 96% of reads were classified in each sample (range: 91% - 100%).

Relative readcount by genus (% of classified reads).

(a) Subject 1, (b) Subject 2, (c) Subject 3, (d) Subject 4. While the differences between the baseline arm [Ba] and back [Bb] are striking at this resolution, evidence of successful movement of arm bacteria is more difficult to discern in the samples of recipient sites [T0, T24]. The 18 most common genera (>3% total reads in a sample) are labelled with a corresponding color. Genera with between 1% and 3% total reads have their own color but are not labelled in the key; these species are marked with diagonal lines to distinguish them from those in the color key. Genera with <1% are grouped in “other”. On average, 96% of reads were classified in each sample (range: 91% - 100%). We saw unique, transferred, arm species (absent in Bb samples) appear in all T and T samples. By sequencing, a median of 34 arm-only species [range: 18,85] appeared in the T samples, with a median of 4 arm-only species [range: 1,16] persisting in the T samples. The most common of these organisms were Gardnerella vaginalis, Brachybacterium faecium, Janithobacterium lividum, and unclassified species of Actinomyces, Anaerococcus, Microbacteriaceae, and Dermabacteriaceae (Table 1). By culture, we also saw a limited number of bacteria unique to the arm (absent in Bb samples) appear in T and T samples (Table 2). Our difficulty in identifying the movement of unique live bacteria through culture techniques is best appreciated in supplementary data (S1 Dataset), which details the >900 subtyped colonies from our four study subjects. These data show that the majority of species which we grew were the Staphylococcus, Streptococcus, Corynebacteria, and Roseamonas that reside at baseline on both the arm and the back. Despite our attempts to incubate in R2A with vancomycin to inhibit overgrowth of Staphylococcus, we were unable to cultivate the rare, primarily gram negative species that are unique to the arm. Nevertheless, three arm-only species in T samples were identified by both sequencing and culture (in bold italics in Tables 1 and 2). Although very limited in number, these three species offer some support for the movement not only of DNA but viable organisms. Further evidence for the movement of viable organisms are the unique colony morphotypes of species common to both sites that we demonstrated moving from the arm to the back in our study subjects (Table 2).
Table 1

List of species identified by sequencing that were present in the baseline arm [Ba], absent in baseline back [Bb], and present in the recipient site sample [T0].

Subjects 1 and 2; left [L] and right [R] side
1L1R2L2R
Actinomyces sp.*Agathobaculum butyriciproducensGardnerella vaginalisBrachybacterium faecium
Anaerococcus unclassifiedAtopobium parvulumJanthinobacterium lividumGardnerella vaginalis
Brachybacterium faeciumOxalobacteraceae unclassifiedMicrobacteriaceae unclassifiedActinomyces turicensis
Janthinobacterium lividumPeptoniphilus indolicusAlphaproteobacteria unclassifiedEggerthella sinensis
Microbacteriaceae unclassifiedPseudomonas fluorescensgroup unclassifiedCandidatus Peptoniphilus massiliensisEnterobacter ludwigii
Actinomyces odontolyticus*Pseudomonas synxanthaDialister propionicifaciensGordonibacter pamelaeae
Agathobaculum butyriciproducensSphingomonas melonisEggerthella sinensisIntrasporangiaceae unclassified
Alphaproteobacteria unclassifiedAcinetobacter haemolyticusFirmicutes unclassifiedMoraxella unclassified
Betaproteobacteria unclassifiedArsenicicoccus bolidensisGordonibacter pamelaeaePrevotella veroralis
Brevundimonas nasdaeArthrobacter sp.Moraxella unclassifiedSphingomonas melonis
Flavobacteriaceae unclassifiedBlastococcus aggregatusOxalobacteraceae unclassifiedAcinetobacter unclassified
Lactobacillus jenseniiCandidatus Microthrix calidaPseudomonas unclassifiedBacillus sp. N6
Lysobacter unclassifiedChryseobacterium halperniaeRhizobiales unclassifiedChitinophagaceae unclassified
Micrococcus unclassifiedChryseobacterium indologenesRoseomonas mucosaCorynebacterium confusum
Peptostreptococcus anaerobiusClostridiales Family XIII.Simonsiella muelleriCorynebacterium matruchotii
Pseudomonas synxanthaIncertae Sedis unclassifiedTriticum aestivumFusobacterium nucleatum*
Serratia liquefaciensEikenella corrodensActinomycetaceae unclassifiedMicrobacterium esteraromaticum
[Clostridium] saccharolyticumJanibacter sanguinisAmycolatopsis orientalisMycobacterium asiaticum
Anaerococcus prevotiiLeptotrichia goodfellowiiBOP clade unclassifiedPseudomonas fluorescens
Atopobiaceae unclassifiedMobiluncus curtisiiCorynebacterium minutissimum*Rhizobiaceae unclassified
Campylobacter gracilisMogibacterium unclassifiedDelftia unclassified*Sphingomonadaceae unclassified
Capnocytophaga granulosaOttowia beijingensisDialister unclassifiedStreptococcus cristatus
Chryseobacterium lathyri*Peptoanaerobacter stomatisFlaviflexus salsibiostraticola
Citrobacter freundiiPorphyromonas endodontalisGordonia unclassified
Collinsella aerofaciensPrevotella micansLactobacillus acetotolerans
Coprococcus eutactusPrevotella timonensis*Massilia aurea*
Cupriavidus metallidurans*Rhizobium unclassifiedMassilia unclassified
Deinococcus unclassifiedSphingomonas phyllosphaerae*Negativicutes unclassified
Dermacoccus unclassifiedStreptococcus pneumoniaeParaeggerthella hongkongensis
Dialister pneumosintesTreponema vincentii*Peptoniphilus asaccharolyticus*
Dysgonomonas mossiiVaribaculum anthropiPeptoniphilus lacrimalis
Enterobacteriaceae unclassifiedVaribaculum cambrienseRhodococcus erythropolis
Gammaproteobacteria unclassified*Rothia mucilaginosa
Geobacillus stearothermophilusSphingobium yanoikuyae
Ileibacterium massilienseStreptomyces chungwhensis
Libanicoccus massiliensis
Luteolibacter unclassified
Microbacterium oxydans
Ottowia unclassified
Parvimonas unclassified
Peptococcus sp. felineoral taxon 012
Prevotella melaninogenica
Prevotella shahii
Prevotella sp. oral taxon 292
Pseudoclavibacter alba
Rothia unclassified
Solirubrobacter ginsenosidimutans
Sphingobium xenophagum
Staphylococcus hominis
Xanthomonadaceae unclassified
Xanthomonas albilineans
Subjects 3 and 4; left [L] and right [R] side
3L3R4L4R
Actinomyces sp.Actinomyces sp.Anaerococcus unclassifiedAnaerococcus unclassified
Brachybacterium faeciumDermabacteraceae unclassified*Dermabacteraceae unclassifiedJanthinobacterium lividum
Dermabacteraceae unclassifiedGardnerella vaginalis*Actinomyces odontolyticus*Anaerococcus hydrogenalis
Microbacteriaceae unclassifiedActinomyces neuiiActinomyces turicensisBacillales unclassified
Actinomyces neuiiAtopobium parvulumAnaerococcus hydrogenalisBrevundimonas vesicularis
Bacillales unclassifiedPrevotella veroralisBetaproteobacteria unclassifiedCandidatus Peptoniphilus massiliensis
Enterobacterales unclassifiedRhizobiales unclassifiedBrevundimonas nasdaeCorynebacterium mucifaciens
Flavobacteriaceae unclassifiedArabidopsis thaliana*Brevundimonas vesicularisEnterobacter ludwigii
Helcobacillus massiliensisCorynebacterium macginleyiCorynebacterium mucifaciensEnterobacterales unclassified
Mesangiospermae unclassifiedGlutamicibacter ardleyensisDialister propionicifaciensFirmicutes unclassified
Micrococcus unclassifiedHydrogenophilus islandicusFriedmanniella spumicolaFriedmanniella spumicola
Peptostreptococcus anaerobiusLachnospiraceae unclassifiedHelcobacillus massiliensisIntrasporangiaceae unclassified
Streptococcus parasanguinisLactobacillus delbrueckiiLactobacillus gasseriLactobacillus gasseri
Triticum aestivumLeuconostoc garlicumLactobacillus jenseniiMacrococcus equipercicus
Actinomyces orisMicrobacterium paraoxydansLysobacter unclassifiedMethylobacterium unclassified
Bergeyella cardiumMicrococcus luteusMacrococcus equipercicusMycolicibacterium iranicum
Bergeyella unclassifiedNesterenkonia halotoleransMesangiospermae unclassifiedNeisseria unclassified
Brachybacterium unclassified*Roseomonas riguilociMethylobacterium unclassifiedRhodobacteraceae unclassified
Campylobacter concisusMycolicibacterium iranicumSphingomonas desiccabilis*
Chryseobacterium hominisNeisseria unclassified*Staphylococcus haemolyticus
Chryseobacterium unclassifiedPeptoniphilus indolicusActinomyces mediterranea
Corynebacterium accolensPseudomonas fluorescensAmaricoccus macauensis
Gemella sanguinisgroup unclassifiedBurkholderiales Generaincertae sedis unclassified
Microbacterium unclassifiedPseudomonas unclassified
Parvimonas micraRhodobacteraceae unclassified*Caulobacter vibrioides*
Parvimonas sp. oral taxon 110Roseomonas mucosaDevosia neptuniae
Pentapetalae unclassifiedSerratia liquefaciensGemella haemolysans
Poaceae unclassifiedSimonsiella muelleri*Gemmobacter caeni*
Prevotella histicolaSphingomonas desiccabilisGranulicatella para-adiacens
Prevotella salivaeStaphylococcus haemolyticusJanibacter unclassified
PseudogracilibacillusauburnensisStreptococcus parasanguinisLactobacillus reuteri*
Stenotrophomonas maltophilia*Acinetobacter septicusLeptotrichia trevisanii
Agrobacterium fabrum*Luteimonas unclassified
Agrobacterium tumefaciensMacrococcus canis
Altererythrobacter salegensMacrococcus unclassified
Aridibacter kavangonensisMesorhizobium loti
Blastocatellaceae unclassifiedMethylobacterium radiotolerans
Brachybacterium conglomeratumMethylosinus trichosporium
Brevundimonas unclassified*Microbacterium saccharophilum
Burkholderiaceae unclassifiedMicropruina glycogenica
Burkholderiales unclassifiedMycolicibacterium austroafricanum*
Caulobacteraceae unclassifiedNakamurella sp.
Chryseobacterium gleumNeisseria meningitidis
Chryseobacterium hispanicumNioella sediminis
Chryseobacterium taiwanense*Paraburkholderia tropica
Clostridiales unclassifiedParacoccus siganidrum
Deinococcus sp.Paracoccus yeei
Dermacoccus nishinomiyaensisPeptoniphilus coxii
Dietzia marisPorphyromonas bennonis*
Fenollaria massiliensisRoseomonas gilardii
Gordonia sputiSphingomonas echinoides
Granulicatella elegansStaphylococcus equorum*
Haemophilus influenzaeStaphylococcus saprophyticus
Kouleothrix aurantiacaStenotrophomonas rhizophila
Lactobacillus johnsoniiStreptococcus oralis*
Massilia alkalitoleransStreptococcus salivarius
Methylorubrum extorquens*Veillonella parvula
Nakamurella multipartitaVicinamibacter silvestris
Neisseria flavescens
Neorhizobium huautlense
Nocardiaceae unclassified*
Nocardioides oleivorans
Nocardioides sp.
Nocardioides unclassified*
Nonspecific*
Oryza sativa
Pantoea agglomerans*
Pantoea vagans
Paracoccus marinus*
Paracoccus versutus
Phenylobacterium unclassified
Propionibacteriaceae unclassified
Proteobacteria unclassified*
Pseudomonas putida*
Pseudomonas stutzeri
Riemerella anatipestifer
Sphingobacterium sp.enrichment culture clone*
Sphingobium unclassified
Sphingomonadales unclassified
Sphingomonas guangdongensis
Sphingomonas hengshuiensis
Variovorax paradoxus
Xanthomonadales unclassified
Xanthomonas axonopodis
Zhizhongheella caldifontis
Zoogloea oryzae

Species listed in blue cells occur in >2 replicates, species listed in orange cells occur in >1 replicates, and species listed in white boxes occur only once across replicates. Species in are examples where the culture data (derived from a sample taken centimeters away on the same individual) corroborates the sequencing data (present in the baseline arm [Ba], absent in baseline back [Bb], and present in the recipient site sample [T0]). Species from T0 that persist in the T24 site (and remain absent at Bb24 site) are annotated with a (*).

Table 2

List of unique morphotypes of species identified by culture and MALDI-TOF that were present in the baseline arm [Ba], absent in baseline back [Bb], and present in the recipient site sample [T0].

Subjects 1 and 2; left [L] and right [R] side
1L1R2L2R
NoneStaphylococcus epidermidisMicrococcus luteusStaphylococcus capitis
Staphylococcus sp[1]Micrococcus luteus
Subjects 3 and 4; left [L] and right [R] side
3L3R4L4R
Staphylococcus epidermidisStaphylococcus sp[1]Corynebacterium mucifaciens (x2)Staphylococcus capitis*
Staphylococcus capitis*Staphylococcus hominisStaphylococcus epidermidisRoseomonas mucosa
Actinomyces neuiiStaphylococcus capitisStaphylococcus hominis
Roseomonas mucosa

Species listed in are those where the culture and sequencing data both show movement of the same unique arm species not present on the back. Species from T0 that persist in the T24 site (and remain absent at Bb24 site) are annotated with a (*).

Species listed in blue cells occur in >2 replicates, species listed in orange cells occur in >1 replicates, and species listed in white boxes occur only once across replicates. Species in are examples where the culture data (derived from a sample taken centimeters away on the same individual) corroborates the sequencing data (present in the baseline arm [Ba], absent in baseline back [Bb], and present in the recipient site sample [T0]). Species from T0 that persist in the T24 site (and remain absent at Bb24 site) are annotated with a (*). Species listed in are those where the culture and sequencing data both show movement of the same unique arm species not present on the back. Species from T0 that persist in the T24 site (and remain absent at Bb24 site) are annotated with a (*). Besides identifying specific "arm" bacterial DNA moved to the back, we assessed the transfer of DNA signature by comparing community compositions with diversity analysis and PCoA Bray-Curtis plot. The T samples were more diverse than Bb samples in 7 of 8 replicates, although this trend was not significant (Fig 3B). Also, in a projection of community composition (PCoA Bray-Curtis plot), five of eight T samples shift towards the Ba cluster and away from the Bb cluster (Fig 5). Specifically, three of the T samples plot between their baseline back samples (this is what we would expect if the T samples were not impacted by the community composition of the transfer pellet). Five of the T samples have moved to the right of both of their respective back samples, towards the arm samples, showing a qualitative impact of the transfer pellet on the structure of the community.
Fig 5

PCoA Bray-Curtis Plot which relates the similarity in community structure between samples by plotting each sample as a point in two dimensions.

The shapes and color allow us to compare the baseline arm [Ba], baseline back [Bb], and recipient site samples [T0] from each side of each individual. There is a trend in five of eight T0 samples (orange), showing a shift “rightwards” of both of their corresponding back samples (same shape, only yellow), towards their corresponding arm samples (same shape, but red). These T0 samples are denoted with a (*).

PCoA Bray-Curtis Plot which relates the similarity in community structure between samples by plotting each sample as a point in two dimensions.

The shapes and color allow us to compare the baseline arm [Ba], baseline back [Bb], and recipient site samples [T0] from each side of each individual. There is a trend in five of eight T0 samples (orange), showing a shift “rightwards” of both of their corresponding back samples (same shape, only yellow), towards their corresponding arm samples (same shape, but red). These T0 samples are denoted with a (*). Not all bacterial DNA from the arm was moved to the back with our transplant process. The sequencing data show a median of 16% of unique arm bacterial species were recovered from T samples [range: 10% - 25%]. This result shows our incomplete success in moving the entire arm skin microbiota DNA signature. Our positive controls (one with each of four DNA extraction runs) were consistent with each other and showed that Staphylococcus aureus was underrepresented in our final results, either because of incomplete extraction of DNA or because of bias in the PCR-sequencing pipeline. We were reassured by the result of negative controls (environmental and reagent), which showed read counts ten times lower than experimental samples. As expected, negative reagent controls showed read counts for only a limited number of species. We include here one further result from preparatory trials for our study, a simple measurement of whether the process of pelleting the bacteria by centrifugation (the process of preparing bacteria for transfer) resulted in loss of viability. From two adjacent sites (of equal surface area) of the antecubital fossa, we saw equivalent growth on blood agar from bacterial pellets (created with the centrifuge technique, as described above in Materials and Methods, and resuspended in Amies solution) and baseline swabs (mixed directly into an equivalent volume of Amies solution) (Table 3).
Table 3

Viability of resuspended transfer pellet vs. standard skin swab, measured in colony forming units on blood agar (48 hrs).

Centrifuged transplant pellet (resuspended in Amies solution)Standard skin swab (mixed in equivalent volume of Amies solution)
Replicate 11600 CFU1560 CFU
Replicate 21950 CFU1840 CFU

Discussion

Current investigations in skin microbiota transplantation show promise in the application of single strains of bacteria to lesional skin. Myles, et. al. showed that certain Gram-negative species, particularly Roseomonas mucosa collected from the skin of healthy volunteers, have antimicrobial activity against Staphylococcus aureus [11], and in a phase 2 clinical trial, application of R. mucosa to active atopic dermatitis was associated with decreased disease severity, topical steroid requirement, and S. aureus burden [12]. Similarly, Gallo and Nakatsuji identified Staphylococcus epidermidis strains with antimicrobial activity against S. aureus [10]. In animal models of atopic dermatitis, the application of Nakatsuji's S. epidermidis eliminated S. aureus colonization. In the context of these studies, our investigation reflects a slightly different goal: to move interconnected communities of microbes, with their web of metabolic interactions, from healthy individuals to the skin of patients with inflammatory skin disease. Tables 1 and 2 summarize our evidence supporting the feasibility of transferring a partial DNA signature from one site to another, listing species that were present in the baseline arm [Ba], absent in baseline back [Bb], and were recovered from recipient sites [T]. These unique-to-arm species likely represent the tip of a larger transplant iceberg, i.e. they could serve as a proxy for the majority of successfully transferred organisms that are species shared between the two sites, and which we could not detect with 16S sequencing. We also interpret the shift of community structure between Bb and T as evidence that our intervention made the recipient back sites more “armlike” in their community composition (Figs 3B and 5). Despite the viability of the pelleted bacteria in trials and our success in growing some unique arm organisms from T samples, our results most clearly show the movement of DNA, with only limited corroboration that the DNA is recovered from live organisms. We explore this limitation, and how future studies can better assess the viability of transferred bacteria in "Limitations", below. While the DNA of several of the unique, rare arm bacteria persisted at 24 hours in their new back environment, we saw a steep drop in this signal. Given their new microenvironment we cannot say what dynamics led to the failure of these bacteria to colonize the recipient site. If we strictly interpret the persisting signal of unique arm bacterial DNA at T24 (ignoring our pilot trials that showed the viability of transfer pellets, and our modest success at culturing unique arm species and colony morphotypes from the T0 and T24 samples), we cannot say whether it is merely residual from dead transferred bacteria 24 hours prior, whether there was a die-off from competition against resident bacteria, or whether the transferred bacteria didn't survive because they were poorly adapted to their new, sebaceous microenvironment. Another possibility is that growth and establishment of transferred bacteria takes more time to detect. Investigations in fecal microbiota transplantation show an incremental shift towards the donor microbiota signature that takes months to reach is fullest extent, with only partial engraftment detectable several days after transplant [26]. Within the context of previous literature, our finding that the antecubital fossa is significantly more diverse than the back is consistent with other descriptions of the skin microbiome; in one previous study where 20 distinct skin sites were ranked by evenness, the back was the least diverse, while the antecubital fossa was the 18th most diverse; when ranked by richness the back was the second least diverse and the antecubital fossa the 17th most diverse [1].

Limitations

Limitations of our study begin with our difficulty culturing the bacterial species (unique to the arm) whose DNA we demonstrated moving with 16S sequencing. It was our intention to use culture to demonstrate the viability of this transplant "signal", but we did not effectively culture these organisms from baseline samples of the arm, nor the T0/T24 samples. Retrospectively, we were overly optimistic that we would be able to culture organisms that had been largely unrecognized prior to deep sequencing survey of the skin, even with our incorporation of special methods to grow gram negative species. We were also limited by the MALDI-TOF library, which has developed to identify clinically relevant isolates and was unable to define a number of the cultured isolates of commensal skin microbiota. Another crucial limitation in our design was the lack of a control arm with heat-killed transfer samples. As an alternative to heat-treatment, we could have generated transfer pellets in ethanol at the centrifugation step instead of saline. If the non-viable transfer pellet (recovered at T0 and T24), showed less robust culture growth and a steeper drop-off in the persistence of unique DNA at 24 hours, we would have a much stronger claim that we had not just transferred a partial DNA signature, but viable organisms. Other limitations of the study include the small number of participants (underpowered analysis), our focus on bacteria and exclusion of fungi and viruses, and the fact that our transplant is superficial, excluding the rich microbial habitats of appendageal structures (follicles and glands). One unexpected finding was the number of species found exclusively in the T samples. The T samples showed a median of 45 unique species [range: 20,79] not found in the Ba or Bb samples of the same side of the study subject. We attribute this finding primarily to sample bias. Our sampling grids spanned an area from the antecubital fossa proper into the edge of volar forearm and the medial upper arm. Adding this slight geographical variability to the natural variability inherent in any two adjacent samples, we suspect that some of the bacteria in the pellet were not sampled from the arm at baseline, resulting in a number of species that appeared novel in the T samples. A supporting fact is that many species unique to T samples were found on the contralateral arm of the same study subject at baseline.

Future directions and conclusions

With our pilot serving as a proof of concept that it is possible to transfer a partial DNA signature, the next step is to investigate the viability and colonization efficiency of transferred skin microbiota between the same site of two different individuals. Using whole genome sequencing, we could follow strains of identical species from one individual to another. Without question, we would incorporate a heat or ethanol-treated control with each replicate. Longitudinal swabs, including at 24 hours and 240 hours, would give meaningful information about the persistence of a transplant, and by using the same body site between donor and recipient individuals, we can examine colonization efficiency without the confounding factor of a new microenvironment for transplanted bacteria. We conclude that unenriched transfer of whole cutaneous microbiota is challenging, but our simple technique intended to move viable skin organisms from one site to another shows the first transfer of a partial DNA signature, and is worthy of further investigation and refinement. There still remain many questions in skin microbiota transplant including 1) whether a community of microbes, not any single, offer advantage in ensuring colonization at the recipient site, 2) whether there is one or a few particular organism(s) essential in restoring eubiosis, and thus skin health, and 3) how host immunity facilitates or inhibits colonization of a transplanted community.

Supplementary photos.

(a) we placed wax/parchment paper over a template, wiped it with bleach, and constructed the grid over it with waterproof medical tape, which had been cut into strips (~0.63cm wide, which is ¼ the width of the tape); (b) the transplant grid was easily removed like a sticker from its backing and placed on a study subject for sampling. (TIF) Click here for additional data file.

Culture data.

Excel spreadsheet includes legend and data that document colony counts and subtyped cultures from each sample with their corresponding MALDI results. (XLSX) Click here for additional data file. 20 Sep 2019 PONE-D-19-23901 Transfer of skin microbiota between two dissimilar autologous microenvironments: a pilot study PLOS ONE Dear Dr. Perin, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please address all the reservations listed by the reviewers. We would appreciate receiving your revised manuscript by Nov 04 2019 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. To enhance the reproducibility of your results, we recommend that if applicable you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. For instructions see: http://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols Please include the following items when submitting your revised manuscript: A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). This letter should be uploaded as separate file and labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. This file should be uploaded as separate file and labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. This file should be uploaded as separate file and labeled 'Manuscript'. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out. We look forward to receiving your revised manuscript. Kind regards, Miroslav Blumenberg, PhD Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at http://www.journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and http://www.journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf 2. We ask that you please state that you obtained written informed consent in your methods section, thank you for including this in your online ethics statement. 3. We note that 'Supplementary photos' includes an image of an individual. As per the PLOS ONE policy (http://journals.plos.org/plosone/s/submission-guidelines#loc-human-subjects-research) on papers that include identifying, or potentially identifying, information, the individual(s) or parent(s)/guardian(s) must be informed of the terms of the PLOS open-access (CC-BY) license and provide specific permission for publication of these details under the terms of this license. Please download the Consent Form for Publication in a PLOS Journal (http://journals.plos.org/plosone/s/file?id=8ce6/plos-consent-form-english.pdf). The signed consent form should not be submitted with the manuscript, but should be securely filed in the individual's case notes. Please amend the methods section and ethics statement of the manuscript to explicitly state that the patient/participant has provided consent for publication: “The individual in this manuscript has given written informed consent (as outlined in PLOS consent form) to publish these case details”. If you are unable to obtain consent from the subject of the photograph, you will need to remove the figure and any other textual identifying information or case descriptions for this individual. 4. Please include a separate caption for each figure in your manuscript. 5. Please include your tables as part of your main manuscript and remove the individual files. Please note that supplementary tables should be uploaded as separate "supporting information" files. 6. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting-information [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: No Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The primary concern is a lack of agreeable definition for “transfer”. In this space the authors have assumed that the detection of DNA signature 0 or 24 hour after swabs constitutes transfer. As written, there is a possibility that they only transferred DNA, not viable organisms. In fact, the culture results in Table 3 argue strongly that they did not transfer a “viable community”, but at best transferred two coagulase negative Staph strains. Traditional culture techniques should not miss Staph epi – thus the lack of S. epi growth in the T24 cultures is concerning that no viable organisms were transferred in the first place. A control could be performed swabbing the back with heat killed samples from the arm (i.e. culture Staph from the arm, heat kill it, then see if the bacterial 16S signature is present on the T0 and T24 samples). If the non-viable swab shows a less impressive transfer, the authors would have a much stronger claim. IE consider the direct non-viable culture swab a DNA-only, positive control to compare. An alternate approach would be to take the T0 swab and dip it in diluted EtOH prior to swabbing the back. If the 16S signature differed between the T24 and T24+EtOH group (versus a blank swab dipped in EtOH alone) the authors might have a stronger case that the T24 signature was from viable organisms. Short of control samples, the entire paper (especially the abstract) requires that the language be amended to outline that they have transferred the DNA profile of the arm to the back. They have not provided the results needed to claim that they “can move viable skin organisms from one site to another”. There is no shame in showing that they were the first to transfer a partial DNA signature, but need to do further work to establish if they transferred viable organisms. But this paper claims multiple times to have transferred viable communities when they do not demonstrate that with their data. This also needs to be discussed in detail in the limitations section, rather than the glancing comment contained now. As constructed, I feel that the overall language is misleading as it implies that swabs could be used from person A to person B to transfer viable organisms. This may be true, and is indeed “worthy of further investigation”, but without demonstrating colonization (even for as little as 24 hours), I cannot endorse this manuscript. Minor concern: In Fig 5, the authors state that the orange symbols – “the community has shifted towards the Ba samples (red) and away from the Bb samples (yellow)”. I don’t see this claim supported at all, can they provide mathematical support for this? Reviewer #2: Perin et al present skin microbiome transplantation auto-transplantation from a site on the back to an arm site study in four patients. This work results interesting for the community but some aspects need to be clarified. Major comments: -It results unclear how it was measured the viability of the applied organisms on the transplant. It should be clarified how many live bacteria were transferred. Viability of the isolated microorganisms should be assayed and quantified -Figures 3 and 5 should include the data of T24 Minor comments: -What is the composition of the saline solution used for recovery? -Tables are very hard to read. Version with improved resolution should be provided. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 6 Nov 2019 Thank you very much for your thorough review. We have responded to each comment in turn in our response to reviewers document. Submitted filename: Response to Reviewers.docx Click here for additional data file. 9 Dec 2019 Transfer of skin microbiota between two dissimilar autologous microenvironments: a pilot study PONE-D-19-23901R1 Dear Dr. Perin, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Miroslav Blumenberg, PhD Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: All of my issues have been addressed. I think the paper is sound and will be of use for the research community - with the admitted limitations added I think they present their data in a fair light (showing the promise without over stating). Reviewer #2: Authors addressed all the relevant issues pointed during review. Missing data from graphics has been clarified and Tables improved. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No 16 Dec 2019 PONE-D-19-23901R1 Transfer of skin microbiota between two dissimilar autologous microenvironments: a pilot study Dear Dr. Perin: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr Miroslav Blumenberg Academic Editor PLOS ONE
  25 in total

1.  Use of colony morphology to distinguish different enterococcal strains and species in mixed culture from clinical specimens.

Authors:  Shabnam Qamer; Jonathan A T Sandoe; Kevin G Kerr
Journal:  J Clin Microbiol       Date:  2003-06       Impact factor: 5.948

Review 2.  Microbiome Tools for Forensic Science.

Authors:  Jessica L Metcalf; Zhenjiang Z Xu; Amina Bouslimani; Pieter Dorrestein; David O Carter; Rob Knight
Journal:  Trends Biotechnol       Date:  2017-03-30       Impact factor: 19.536

Review 3.  Formation of propionate and butyrate by the human colonic microbiota.

Authors:  Petra Louis; Harry J Flint
Journal:  Environ Microbiol       Date:  2016-12-08       Impact factor: 5.491

4.  The Follicular Skin Microbiome in Patients With Hidradenitis Suppurativa and Healthy Controls.

Authors:  Hans Christian Ring; Jonathan Thorsen; Ditte M Saunte; Berit Lilje; Lene Bay; Peter Theut Riis; Niels Larsen; Lee O'Brien Andersen; Henrik V Nielsen; Iben M Miller; Thomas Bjarnsholt; Kurt Fuursted; Gregor Borut Jemec
Journal:  JAMA Dermatol       Date:  2017-09-01       Impact factor: 10.282

5.  Temporal Stability of the Human Skin Microbiome.

Authors:  Julia Oh; Allyson L Byrd; Morgan Park; Heidi H Kong; Julia A Segre
Journal:  Cell       Date:  2016-05-05       Impact factor: 41.582

6.  First-in-human topical microbiome transplantation with Roseomonas mucosa for atopic dermatitis.

Authors:  Ian A Myles; Noah J Earland; Erik D Anderson; Ian N Moore; Mark D Kieh; Kelli W Williams; Arhum Saleem; Natalia M Fontecilla; Pamela A Welch; Dirk A Darnell; Lisa A Barnhart; Ashleigh A Sun; Gulbu Uzel; Sandip K Datta
Journal:  JCI Insight       Date:  2018-05-03

7.  Duodenal infusion of donor feces for recurrent Clostridium difficile.

Authors:  Els van Nood; Anne Vrieze; Max Nieuwdorp; Susana Fuentes; Erwin G Zoetendal; Willem M de Vos; Caroline E Visser; Ed J Kuijper; Joep F W M Bartelsman; Jan G P Tijssen; Peter Speelman; Marcel G W Dijkgraaf; Josbert J Keller
Journal:  N Engl J Med       Date:  2013-01-16       Impact factor: 91.245

8.  Calypso: a user-friendly web-server for mining and visualizing microbiome-environment interactions.

Authors:  Martha Zakrzewski; Carla Proietti; Jonathan J Ellis; Shihab Hasan; Marie-Jo Brion; Bernard Berger; Lutz Krause
Journal:  Bioinformatics       Date:  2017-03-01       Impact factor: 6.937

9.  Propionibacterium acnes strain populations in the human skin microbiome associated with acne.

Authors:  Sorel Fitz-Gibbon; Shuta Tomida; Bor-Han Chiu; Lin Nguyen; Christine Du; Minghsun Liu; David Elashoff; Marie C Erfe; Anya Loncaric; Jenny Kim; Robert L Modlin; Jeff F Miller; Erica Sodergren; Noah Craft; George M Weinstock; Huiying Li
Journal:  J Invest Dermatol       Date:  2013-01-21       Impact factor: 8.551

10.  Emergence of microbial diversity due to cross-feeding interactions in a spatial model of gut microbial metabolism.

Authors:  Milan J A van Hoek; Roeland M H Merks
Journal:  BMC Syst Biol       Date:  2017-05-16
View more
  6 in total

Review 1.  Challenges in exploring and manipulating the human skin microbiome.

Authors:  Manon Boxberger; Valérie Cenizo; Nadim Cassir; Bernard La Scola
Journal:  Microbiome       Date:  2021-05-30       Impact factor: 14.650

Review 2.  Skin microbiome transplantation and manipulation: Current state of the art.

Authors:  Chris Callewaert; Nastassia Knödlseder; Ante Karoglan; Marc Güell; Bernhard Paetzold
Journal:  Comput Struct Biotechnol J       Date:  2021-01-04       Impact factor: 7.271

Review 3.  Atopic Dermatitis as a Multifactorial Skin Disorder. Can the Analysis of Pathophysiological Targets Represent the Winning Therapeutic Strategy?

Authors:  Irene Magnifico; Giulio Petronio Petronio; Noemi Venditti; Marco Alfio Cutuli; Laura Pietrangelo; Franca Vergalito; Katia Mangano; Davide Zella; Roberto Di Marco
Journal:  Pharmaceuticals (Basel)       Date:  2020-11-22

Review 4.  Epidermis as a Platform for Bacterial Transmission.

Authors:  Fernando Baquero; Claudia Saralegui; Daniel Marcos-Mencía; Luna Ballestero; Sergio Vañó-Galván; Óscar M Moreno-Arrones; Rosa Del Campo
Journal:  Front Immunol       Date:  2021-12-01       Impact factor: 7.561

Review 5.  Controlling skin microbiome as a new bacteriotherapy for inflammatory skin diseases.

Authors:  Yoshihiro Ito; Masayuki Amagai
Journal:  Inflamm Regen       Date:  2022-09-01

Review 6.  Human Skin Microbiome: Impact of Intrinsic and Extrinsic Factors on Skin Microbiota.

Authors:  Krzysztof Skowron; Justyna Bauza-Kaszewska; Zuzanna Kraszewska; Natalia Wiktorczyk-Kapischke; Katarzyna Grudlewska-Buda; Joanna Kwiecińska-Piróg; Ewa Wałecka-Zacharska; Laura Radtke; Eugenia Gospodarek-Komkowska
Journal:  Microorganisms       Date:  2021-03-05
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.