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Record W3120526253 · doi:10.1111/jocd.13949

Topical cream containing live lactobacilli decreases malodor‐producing bacteria and downregulates genes encoding PLP‐dependent enzymes on the axillary skin microbiome of healthy adult Nigerians

2021· article· en· W3120526253 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Cosmetic Dermatology · 2021
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsOntario Genomics
Fundersnot available
KeywordsFirmicutesCorynebacteriumLactobacillusBiologyStaphylococcusMicrobiologyMicrobiomeBacteriaAtopic dermatitisRuminococcusStaphylococcus aureusMedicine16S ribosomal RNAImmunologyFecesGenetics

Abstract

fetched live from OpenAlex

BACKGROUND: Clinical data exist that support the utility of topical probiotics for certain dermatological diseases such as atopic dermatitis, acne, and psoriasis. However, there is paucity of data on the use of live lactobacilli to control axillary malodor. The objective of this study was to determine whether application of topical oil-based cream containing live Lactobacilli could decrease malodor-producing bacteria in the axilla of healthy subjects. AIMS: To determine the effects of topical cream with live lactobacilli on malodor-producing bacteria in the axilla of healthy subjects. PATIENTS/METHODS: Twenty-five adult volunteers comprising 12 males and 13 females provided informed consent. Axillary skin swabs were collected before and after 14 days application of topical cream containing live Lactobacillus pentosus KCA1. Bacterial DNA was extracted, and V4 region of the 16S rRNA was amplified and sequenced in a pair-end configuration on the Illumina MiSeq platform rendering 2 × 150 bp sequences. Microbial taxonomy to species level was generated using the Greengenes database. Linear discriminant analysis (LDA) effect size (LEfSe) was used to identify biologically and statistically significant differences in relative abundance. RESULTS: Actinobacteria decreased from 70% to 24%, and Firmicutes increased from 26.6% to 73.9% among the female participants. In males, Actinobacteria decreased from 65% to 38%, while Firmicutes increased from 24% to 57%. Corynebacterium decreased from 62.91% to 36.63%, while Lactobacillus increased from 0.06% to 23.11%. In males, unliked females, there were reduction of Staphylococcus species associated with malodor, notably Staphylococcus hominis, Staphylococcus hemolyticus, and Staphylococcus lugdunensis. Bacterial functional gene- Pyridoxal protein dependent enzymes involved in biotransformation of malodor precursor to volatile thioalcohols were down-regulated. CONCLUSIONS: Application of Lactobacillus pentosus KCA1 cream led to a significant decrease in the relative abundance of odor-producing Corynebacterium species in both female and male subjects. Some species associated with malodor especially Corynebacterium striatum, Corynebacterium jeikeium, Corynebacterium tuberculostearicum, and Staphylococcus hominis decreased by 96%, 73%, 7%, and 20.8%, respectively, in males.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.661

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.263
Teacher spread0.249 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it