WO2022121864A1 - Association de marqueurs pour la détermination des types de peau et son utilisation - Google Patents

Association de marqueurs pour la détermination des types de peau et son utilisation Download PDF

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WO2022121864A1
WO2022121864A1 PCT/CN2021/135870 CN2021135870W WO2022121864A1 WO 2022121864 A1 WO2022121864 A1 WO 2022121864A1 CN 2021135870 W CN2021135870 W CN 2021135870W WO 2022121864 A1 WO2022121864 A1 WO 2022121864A1
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skin
moraxella
oslo
acnes
level
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PCT/CN2021/135870
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English (en)
Chinese (zh)
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王久存
夏晶晶
克鲁德曼·吉恩
刘晓
钟倩
李志明
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复旦大学
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Priority to JP2023535014A priority Critical patent/JP2023552837A/ja
Priority to KR1020237023407A priority patent/KR20230118928A/ko
Publication of WO2022121864A1 publication Critical patent/WO2022121864A1/fr

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    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6888—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms
    • C12Q1/689—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for detection or identification of organisms for bacteria
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    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
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    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/70—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving virus or bacteriophage
    • C12Q1/701—Specific hybridization probes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/569—Immunoassay; Biospecific binding assay; Materials therefor for microorganisms, e.g. protozoa, bacteria, viruses
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/569—Immunoassay; Biospecific binding assay; Materials therefor for microorganisms, e.g. protozoa, bacteria, viruses
    • G01N33/56911—Bacteria
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
    • G01N33/569—Immunoassay; Biospecific binding assay; Materials therefor for microorganisms, e.g. protozoa, bacteria, viruses
    • G01N33/56983—Viruses
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    • C12N—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N2710/00—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA dsDNA viruses
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    • C12R—INDEXING SCHEME ASSOCIATED WITH SUBCLASSES C12C - C12Q, RELATING TO MICROORGANISMS
    • C12R2001/00—Microorganisms ; Processes using microorganisms
    • C12R2001/01—Bacteria or Actinomycetales ; using bacteria or Actinomycetales
    • C—CHEMISTRY; METALLURGY
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    • C12R2001/00—Microorganisms ; Processes using microorganisms
    • C12R2001/01—Bacteria or Actinomycetales ; using bacteria or Actinomycetales
    • C12R2001/44—Staphylococcus
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
    • G01N2333/195—Assays involving biological materials from specific organisms or of a specific nature from bacteria
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
    • G01N2333/195—Assays involving biological materials from specific organisms or of a specific nature from bacteria
    • G01N2333/21—Assays involving biological materials from specific organisms or of a specific nature from bacteria from Pseudomonadaceae (F)
    • G01N2333/212—Moraxellaceae, e.g. Acinetobacter, Moraxella, Oligella or Psychrobacter
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2333/00—Assays involving biological materials from specific organisms or of a specific nature
    • G01N2333/195—Assays involving biological materials from specific organisms or of a specific nature from bacteria
    • G01N2333/305—Assays involving biological materials from specific organisms or of a specific nature from bacteria from Micrococcaceae (F)
    • G01N2333/31—Assays involving biological materials from specific organisms or of a specific nature from bacteria from Micrococcaceae (F) from Staphylococcus (G)
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2800/00—Detection or diagnosis of diseases
    • G01N2800/20—Dermatological disorders

Definitions

  • the present invention relates to the field of biomedicine, in particular to a marker combination for skin typing and its application.
  • the purpose of the present invention is to classify the population based on the characteristics of the skin microbiome, thereby helping the industry to develop skin care products and medicines that are more suitable for specific populations for different skin types.
  • the present invention will focus on the two bacteria that dominate skin typing, Moraxella osloensis and Cutibacterium acnes, as well as skin-abundant bacteria that play an important role in host health and disease. on one of the bacterial colonies of the species, Staphylococcus epidermidis.
  • the correlation between the distribution abundance of three target skin symbionts on the face and the host skin phenotype was determined. The bacteria that promote skin aging - M. osloensis.
  • M. osloensis or a detection reagent thereof for (a) skin typing; and/or (b) judging or characterizing skin conditions or using For preparing a reagent or kit for (a) skin typing; and/or (b) determining or characterizing skin condition.
  • the skin condition includes: skin age, skin moisture content, skin elasticity, skin color, and skin aging degree.
  • the aging degree of the skin is judged based on one or more phenotypes selected from the group consisting of porphyrin, oil, water content, gloss, pore area, skin yellowness, pore size, and pigmentation.
  • the reagent or kit further includes a reagent for detecting Propionibacterium acnes (C. acnes).
  • the reagent or kit further includes a reagent for detecting Moraxella bovoculi and/or Psychrobacter sp.
  • the reagent or kit further comprises detection of Propionibacterium avidum, Propionibacterium granulosum, Staphylococcus, Propionibacterium acnes and/or Staphylococcus phage reagent.
  • the reagent or kit further includes a reagent for detecting Staphylococcus epidermidis (S. epidermidis).
  • a second aspect of the present invention provides a marker combination comprising M. osloensis and C. acnes.
  • the marker combination further includes Moraxella bovoculi and/or Psychrobacter sp..
  • the marker combination further includes Propionibacterium avidum, Propionibacterium granulosum, Staphylococcus, Propionibacterium acnes and/or Staphylococcus phage.
  • the marker combination further includes Staphylococcus epidermidis (S. epidermidis).
  • the marker combination is used for (a) skin typing; and/or (b) judging skin state.
  • the skin condition includes: skin age, skin moisture content, skin elasticity, skin color, and skin aging degree.
  • the aging degree of the skin is judged based on one or more phenotypes selected from the group consisting of porphyrin, oil, water content, gloss, pore area, skin yellowness, pore size, and pigmentation.
  • the marker or marker combination is derived from a skin sample, preferably from whole body skin or facial skin, more preferably from cheek, forehead, and nose.
  • the marker or marker combination is derived from skin samples of Asian population.
  • the marker or marker combination is derived from cheek, forehead, and alar samples.
  • the level of each marker in the marker combination is detected by one or more methods of the following group: sequencing, PCR, protein quantitative detection.
  • the method for detecting the level of the marker group further includes one or more methods selected from the group consisting of: quantitative PCR for characteristic genes, qPCR, real-time quantitative PCR, metagenomics analysis, 16s RNA sequencing , mass spectrometry, and western blotting.
  • the ratio (M/ C) When the following conditions are met: M/C ⁇ 1.3, preferably, M/C ⁇ 0.8, more preferably M/C ⁇ 0.4, then the skin type is type C (or type I), and its phenotype includes: oil High content, high water content, good skin elasticity, low skin aging, bright skin color.
  • the ratio (M/ C) When the following conditions are met: 0.3 ⁇ M/C ⁇ 2.5, preferably, 0.3 ⁇ M/C ⁇ 2.3, more preferably, 0.8 ⁇ M/C ⁇ 1.8, then the skin type is mixed (or type II) , and its phenotypes include: medium oil content, medium water content, average skin elasticity, moderate skin aging, and medium skin color.
  • the ratio (M/ C) When the following conditions are met: M/C ⁇ 0.5, preferably, M/C ⁇ 1.8, more preferably, M/C ⁇ 2.2, then the skin type is M type (type III), and its phenotype includes skin oil Low content, low water content, poor skin elasticity, high degree of skin aging, dull skin color.
  • the ratio (M/ C) When the following conditions are met: M/C ⁇ 1.5, preferably, M/C ⁇ 1.25, the skin type is type C (or type I), and its phenotype includes high oil content, high water content, and good skin elasticity , Low degree of skin aging, bright skin color.
  • the ratio (M/ C) When the following conditions are met: M/C ⁇ 0.5, preferably, M/C ⁇ 0.35, the skin type is type C (or type I), and its phenotype includes high oil content, high water content, good skin elasticity, Low level of skin aging, bright skin color.
  • the ratio (M/C) of the level (such as content) (M) of the Moraxella oslo to the level (such as content) (C) of the P. acnes is derived from a sample from the nose wing ) when the following conditions are met: 0.35 ⁇ M/C ⁇ 0.7, preferably, 0.35 ⁇ M/C ⁇ 0.6, more preferably, 0.35 ⁇ M/C ⁇ 0.55, the skin type is mixed type (or type II), which Phenotypes include: moderate oil content, moderate moisture content, moderate skin elasticity, moderate skin aging, and moderate skin color.
  • the ratio (M/C) of the level (such as content) (M) of the Moraxella oslo to the level (such as content) (C) of the P. acnes is derived from a sample from the nose wing ) when the following conditions are met: M/C ⁇ 0.5, preferably, M/C ⁇ 0.55, the skin type is M type (type III), and its phenotype includes low skin oil content, low water content, poor skin elasticity, High degree of skin aging, dull skin color.
  • a third aspect of the present invention provides a method for skin typing or judging skin state, the method comprising:
  • the subject to be tested is from an Asian population.
  • step (2) according to the relative value (such as M/C) of the level (such as content) (M) of Moraxella oslo and the level (such as content) (C) of P. acnes Type the skin, or determine the skin condition of a sample.
  • the skin condition includes skin age, skin moisture content, skin elasticity, skin color, and skin aging degree.
  • the level (eg content) (M) of Moraxella oslo and the level (eg content) of P. acnes in the sample of the subject to be tested by one or more methods selected from the following group (C) Confirmation: sequencing, PCR, protein quantitative detection.
  • the method for detecting the level (eg content) (M) of Moraxella oslo and the level (eg content) (C) of Propionibacterium acnes in the sample further comprises a method selected from the group consisting of: One or more methods: quantitative PCR for signature genes, qPCR, real-time quantitative PCR, metagenomics analysis, 16s RNA sequencing, mass spectrometry, Western blotting.
  • the ratio (M/C) of the Moraxella oslo (M) to the level (such as content) (C) of the P. acnes in the sample meets the following conditions: M/C ⁇ 1.3, preferably, M/C ⁇ 0.8, more preferably M/C ⁇ 0.4, then the skin type is C type (or type I), and its phenotype includes: high oil content, high water content, Good skin elasticity, low skin aging, bright skin color.
  • the ratio (M/C) of the level (eg content) (M) of the Moraxella oslo in the sample to the level (eg content) (C) of the P. acnes When the following conditions are met: 0.3 ⁇ M/C ⁇ 2.5, preferably, 0.3 ⁇ M/C ⁇ 2.3, more preferably, 0.8 ⁇ M/C ⁇ 1.8, then the skin type is mixed (or type II), and its Phenotypes include: moderate oil content, moderate moisture content, moderate skin elasticity, moderate skin aging, and moderate skin color.
  • the ratio (M/C) of the level (eg content) (M) of the Moraxella oslo in the sample to the level (eg content) (C) of the P. acnes When the following conditions are met: M/C ⁇ 0.5, preferably, M/C ⁇ 1.8, more preferably, M/C ⁇ 2.2, the skin type is M type (type III), and its phenotype includes low skin oil content , low water content, poor skin elasticity, high degree of skin aging, dull skin color.
  • the sample is derived from the cheek, and the ratio of the level (such as content) (M) of Moraxella oslo in the sample to the level (such as content) (C) of Propionibacterium acnes ( When M/C) meets the following conditions: M/C ⁇ 0.8, preferably, M/C ⁇ 0.75, then the skin type is C type (or type I), and its phenotype includes high oil content, high water content, skin Good elasticity, low skin aging, bright skin color.
  • the sample is derived from the cheek, and the ratio of the level (such as content) (M) of Moraxella oslo in the sample to the level (such as content) (C) of Propionibacterium acnes ( When M/C) meets the following conditions: 0.75 ⁇ M/C ⁇ 2, preferably, 0.8 ⁇ M/C ⁇ 1.7, then the skin type is mixed type (or type II), and its phenotype includes: medium oil content, Moderate moisture content, average skin elasticity, moderate skin aging, and moderate skin tone.
  • the sample is derived from the cheek, and the ratio of the level (such as content) (M) of Moraxella oslo in the sample to the level (such as content) (C) of Propionibacterium acnes ( When M/C) meets the following conditions: M/C ⁇ 1.7, the skin type is M type (type III), and its phenotypes include low skin oil content, low water content, poor skin elasticity, high skin aging, and skin Dull in color.
  • M level of Moraxella oslo in the sample
  • C content of Propionibacterium acnes
  • the ratio of the level (eg content) (M) of Moraxella oslo in the sample to the level (eg content) (C) of Propionibacterium acnes (M/C)
  • M/C the ratio of the level (eg content) (M) of Moraxella oslo in the sample to the level (eg content) (C) of Propionibacterium acnes
  • the sample is derived from the forehead, the ratio of the level (eg content) (M) of Moraxella oslo in the sample to the level (eg content) (C) of Propionibacterium acnes ( M/C) when the following conditions are met: 1.25 ⁇ M/C ⁇ 2.5, preferably, 1.3 ⁇ M/C ⁇ 2.2, the skin type is mixed (or type II), and its phenotype includes: medium oil content, high The amount of water is medium, the skin elasticity is average, the skin aging is medium, and the skin color is medium.
  • the sample is derived from the forehead, the ratio of the level (eg content) (M) of Moraxella oslo in the sample to the level (eg content) (C) of Propionibacterium acnes ( When M/C) meets the following conditions: M/C ⁇ 2, preferably ⁇ 2.2, the skin type is M type (type III), and its phenotype includes low skin oil content, low water content, and poor skin elasticity , High degree of skin aging, dull skin color.
  • the ratio of the level (eg content) (M) of Moraxella oslo in the sample to the level (eg content) (C) of Propionibacterium acnes (M/C)
  • M/C the ratio of the level (eg content) (M) of Moraxella oslo in the sample to the level (eg content) (C) of Propionibacterium acnes
  • M/C is derived from a sample from the nose wing, and the ratio of the level (such as content) (M) of Moraxella oslo in the sample to the level (such as content) (C) of Propionibacterium acnes (
  • M/C meets the following conditions: 0.35 ⁇ M/C ⁇ 0.7, preferably, 0.35 ⁇ M/C ⁇ 0.6, more preferably, 0.35 ⁇ M/C ⁇ 0.55, the skin type is mixed (or type II) ), and their phenotypes include: medium oil content, medium water content, average skin elasticity, moderate skin aging, and medium skin color.
  • it is derived from a sample from the nose wing, and the ratio of the level (such as content) (M) of Moraxella oslo in the sample to the level (such as content) (C) of Propionibacterium acnes ( M/C) when the following conditions are met: M/C ⁇ 0.5, preferably, M/C ⁇ 0.55, the skin type is M type (type III), and its phenotype includes low skin oil content, low water content, skin Poor elasticity, high degree of skin aging, dull skin color.
  • the relative value meets the following conditions: when M/C ⁇ 1.3, the skin is type C, and when M/C ⁇ 0.5, the skin is type M.
  • the relative value meets the following condition: when 0.3 ⁇ M/C ⁇ 2.5, the skin is of mixed type.
  • the level (such as content) (M) of the Moraxella oslo increases, it indicates that the skin condition is increased skin age, dark and yellow complexion, reduced skin moisture content, sebum and porphyrin content reduce.
  • the fourth aspect of the present invention provides a reagent combination for skin typing and/or skin condition detection, the reagent combination comprising reagents for detecting each marker in the combination described in the second aspect of the present invention.
  • the reagent is used to detect the level (eg content) of each marker.
  • the reagent includes a substance for detecting the level of each marker in the combination described in the second aspect of the present invention by one or more methods selected from the group consisting of sequencing, PCR, and quantitative protein detection.
  • the method for detecting the marker level further includes: quantitative PCR of characteristic genes, qPCR, real-time quantitative PCR, metagenomic analysis, 16s RNA sequencing, mass spectrometry analysis, and western blotting.
  • the reagent combination includes:
  • a first detection reagent for detecting the level (M) of Moraxella oslo for detecting the level (M) of Moraxella oslo;
  • a fifth aspect of the present invention provides a kit comprising the reagent combination described in the second aspect of the present invention.
  • each marker in the combination described in the second aspect of the present invention is used as a standard.
  • a sixth aspect of the present invention provides a system for classifying the skin of an object to be tested and/or judging the skin state of the object to be tested, the system comprising:
  • a feature receiving module is used for receiving skin sample feature data;
  • the feature data includes: the quantitative information of each of Moraxella oslo (M) and P. acnes (C) in the skin sample ;
  • a calculation processing module for calculating the feature data from the feature receiving module, so as to obtain the respective proportions of the respective features or the proportional relationship between the respective features; and based on the obtained respective proportions or the relationship between the respective features A proportional relationship, compared with a standard value for skin type or characterization, resulting in a judgment of skin type and/or skin condition;
  • the subject is a human.
  • the subject is an Asian population.
  • the objects include men and women.
  • the subject includes infants, adolescents or adults.
  • the quantitative information includes the respective levels (eg content) of Moraxella oslo (M) and Propionibacterium acnes (C).
  • the proportional relationship includes the relative values of the respective levels (eg contents) of Moraxella oslo (M) and Propionibacterium acnes (C) in the skin sample, such as M/C.
  • M Moraxella oslo
  • C Propionibacterium acnes
  • the system can be divided into at least two types according to the skin condition.
  • the method for obtaining the quantitative information includes: sequencing, PCR, and quantitative protein detection.
  • the method for obtaining the quantitative information further includes: quantitative PCR for characteristic genes, qPCR, real-time quantitative PCR, metagenomics analysis, 16s RNA sequencing, mass spectrometry analysis, and western blotting.
  • the feature receiving module includes a sample collector and a feature signal input end.
  • the calculation processing module includes a processor and a storage, wherein the storage stores threshold information of skin type and/or skin state.
  • the output module includes any terminal, preferably a display, a printer, a tablet computer (PAD), and a smart phone.
  • the modules are connected in a wired or wireless manner.
  • a seventh aspect of the present invention provides a method for screening substances or ingredients for improving skin condition, comprising:
  • the screening bacteria is Moraxella oslo (M), P. acnes (C), or screening bacteria (mixed bacteria) comprising Moraxella oslo and/or P. acnes;
  • the content of Moraxella oslo or the relative level (such as relative content) (M/C) between Moraxella oslo and P. acnes increases, it indicates the substance to be screened Or the ingredients are substances used to treat acne.
  • the level (such as content) of Moraxella oslo decreases or the relative level (such as relative content) (M/C) between Moraxella oslo and P. acnes decreases, it indicates that the The substances or ingredients to be screened are skin anti-aging substances.
  • the level (such as content) of P. acnes increases or the relative level (such as relative content) (C/M) between P. acnes and Moraxella oslo increases, it indicates that the The substances or ingredients to be screened are skin anti-aging substances.
  • the level (such as content) of P. acnes decreases or the relative level (such as relative content) (C/M) between P. acnes and Moraxella oslo decreases, it indicates that the The substance or ingredient to be screened is a substance for treating acne.
  • the eighth aspect of the present invention provides a use of the marker combination according to the second aspect of the present invention or the reagent combination according to the fourth aspect of the present invention, for preparing a kit for use in (a) skin typing; and/or (b) judging or characterizing skin condition.
  • the ninth aspect of the present invention provides the use of the combination of markers described in the second aspect of the present invention or the combination of reagents described in the fourth aspect of the present invention for screening substances or components that improve skin condition.
  • Figure 1 shows a schematic diagram of the sampled skin site.
  • Figure 2 shows the microbial composition of the facial skin of the Han population.
  • Figure 3 shows the analysis of the optimal number of clusters for different parts.
  • Figure 4A and B show the clustering results of the forehead, where the box plots represent the average distance between samples in the two groups, respectively, and the red line represents the average distance between samples in different groups.
  • 4A is the JS divergence (Jensen-Shannon divergence)
  • 4B is the Bray-Curtis dissimilarity (Bray-Curtis dissimilarity).
  • Figure 4C,D show the relative levels of P. acnes or M. oslo on the forehead, with each dot representing a sample.
  • Figure 4E and F show the clustering results of cheeks, where the box plots represent the average distance between samples in the two groups, respectively, and the red line represents the average distance between samples in different groups.
  • 4E is JS divergence (Jensen-Shannon divergence)
  • 4F is Bray-Curtis dissimilarity (Bray-Curtis dissimilarity).
  • Figures 4G,H show relative levels of P. acnes or M. oslo in cheeks, with each dot representing a sample.
  • Figure 4I and J show the clustering results of the nose ala, where the box plots represent the average distance between samples in the two groups, respectively, and the red line represents the average distance between samples in different groups.
  • 4I is the JS divergence (Jensen-Shannon divergence)
  • 4J is the Bray-Curtis dissimilarity (Bray-Curtis dissimilarity).
  • Figure 4K,L show the relative levels of P. acnes or M. oslo in the nasal ala, with each dot representing a sample.
  • Figure 5 shows the differential microorganisms between different skin types, with colors representing the relative levels of microorganisms, one sample per column and one microorganism per row.
  • Figure 6 shows the microbial network characteristics of different skin types, with M-cutotype-enriched microbial species on the left and C-cutotype-enriched microbial species on the right. Each dot represents a species, and each color of the bouquet represents a species. It can be seen from the figure that the enriched microorganisms in one skin type are positively correlated with each other and negatively correlated with the enriched species of another skin type. Different skin types show different microbial network compositions.
  • Figure 7 shows the differences in functional enrichment of skin microbial genes for different skin types.
  • Figure 8 shows phenotypic differences between different skin types.
  • Figure 9 shows the correlation analysis between Moraxella oslo and age and skin phenotype: adjusted P value is less than 0.05.
  • Figure 10 shows that aceA/aceB genes are enriched in M-Cutotype.
  • Figure 11 shows that the beta-Carotene synthesis pathway is enriched for M-Cutotype.
  • Figure 12 shows the functional enrichment analysis of RNAseq differentially expressed genes in human keratinocyte HaCaT treated with Moraxella oslo supernatant and blank control group.
  • Figure 13 shows the utilization of various water-soluble carbon source compounds by Moraxella oslo.
  • the left picture is measured by CCK-8 kit, and the right picture is measured by Dye mix A.
  • Figure 14 shows the results of skin type validation using Singapore Chinese skin metagenomic data.
  • Figure 15 shows the results of skin type validation using Philippine and Italian skin metagenomic data.
  • Figure 16 shows a heatmap of the correlation between species level and host phenotype of three dermatosymbionts.
  • Figure 17 shows a graph of Moraxella oslo-HaCaT-QPCR results.
  • Figure 18 shows a graph of P. acnes-HaCaT-QPCR results.
  • Figure 19 shows a graph of S. epidermidis-HaCaT-QPCR results.
  • Moraxella oslo can be used to characterize skin conditions or for skin typing for the first time, and the present invention also discovered a new marker combination for the first time: Moraxella oslo and C. acnes Acidobacter.
  • the marker combination of the present invention can (a) classify the skin; and/or (b) judge the skin state, has the advantages of high sensitivity and high specificity, and has important application value. On this basis, the inventors have completed the present invention.
  • the term "marker combination” refers to a combination of two or more markers.
  • the level of the marker substance is determined by the ratio of the presence and/or expression of the two microorganisms.
  • the term "individual” refers to animals, especially mammals, such as primates, preferably humans.
  • the term “about” means that the value may vary by no more than 1% from the recited value.
  • the expression “about 100” includes all values between 99 and 101 and (eg, 99.1, 99.2, 99.3, 99.4, etc.).
  • the terms "containing” or “including (including)” can be open, semi-closed, and closed. In other words, the term also includes “consisting essentially of,” or “consisting of.”
  • M bacteria Moraxella Osloensis, M.osloensis, hereinafter referred to as M bacteria
  • Moraxella oslo Moraxella spp., bacilli, gram-negative, chemoorganotrophic bacteria. Can not use carbohydrates to produce acid.
  • C bacteria Propionibacterium acnes, Cutibacterium acnes, C. acnes, hereinafter referred to as C bacteria
  • Propionibacterium acnes a gram-positive bacillus, is a genus of Propionibacterium in the Actinomycete Actinomycete Actinomycetales. Important colonizer of human skin, involved in maintaining skin health, and can also act as a causative agent of acne vulgaris.
  • Staphylococcus epidermidis Staphylococcus epidermidis, Staphylococcus epidermidis, S. epidermidis
  • Staphylococcus epidermidis It is a gram-positive coccus that breeds on the epidermis of organisms. It exists in the skin, vagina and other parts of the human body. Because it often accumulates into grape clusters, it is named Staphylococcus epidermidis.
  • the skin can be further classified into M-Cutotype type (referred to as M type), mixed type, and C-Cutotype type (referred to as C type).
  • M type M-Cutotype
  • C type C-Cutotype type
  • C-Cutotype As used herein, the terms "C-Cutotype”, “C-type” are used interchangeably and refer to a type of microbe-based skin typing characterized by high levels of aggregation of P. acnes (C. acnes).
  • M-Cutotype As used herein, the terms "M-Cutotype", “M-type” are used interchangeably and refer to a type of microbe-based skin typing characterized by high levels of aggregation of M. osloensis.
  • skin elasticity depends on, but is not limited to, the adequacy of skin moisture, collagen, elastin, and natural fats, among others.
  • skin color depends on, but is not limited to, skin radiance, skin tone, yellowness, and the like.
  • skin aging depends on, but is not limited to, increased skin porphyrins, decreased skin moisture content and radiance, enlarged and enlarged pores, skin oil imbalance, and dull skin.
  • M/C ratio can be obtained in the following ways: 1. 16sRNA sequencing; 2. Metagenome sequencing; 3. Characteristics of two species Sequence design primers, and then use qPCR to obtain the M/C ratio; 4. Detect the specific expressed proteins or metabolites of the two bacteria for quantitative purposes, such as mass spectrometry analysis, Western blotting, etc.
  • the kit of the present invention includes the combination described in the second aspect of the present invention and/or the reagent combination described in the fourth aspect of the present invention.
  • each marker in the combination described in the first aspect of the present invention is used as a standard.
  • the present invention uses Moraxella oslo and Propionibacterium acnes as markers in combination for (a) skin typing; and/or (b) judging skin condition, such as moisture content, skin elasticity, and/or aging degree , has the advantages of high sensitivity and high specificity, and has important application value.
  • the present invention discovers for the first time a new classification method that is different from the previous classification based on the host physiological drive (oily skin, dry skin, wet skin).
  • the new classification method uses skin microorganisms as the classification basis.
  • the microbiome communities of different skin types may react against the host skin by exerting specific functions, which may have certain effects on skin health and skin appearance. Therefore, further research on skin type may contribute to the development of personalized medicine to better maintain skin health.
  • the present invention finds for the first time the correlation between M bacteria and skin phenotype, which is positively correlated with age, and is related to some skin aging phenotypes, such as with the increase of the level of M bacteria, the skin oil decreases, the moisture content decreases, and the luster decreases. It is associated with some typical features of acne, such as increased M bacteria, decreased oil, decreased porphyrins (mostly metabolites of C bacteria, which can be pro-inflammatory), and decreased pore area .
  • the present invention finds for the first time that by increasing the relative level (eg content) of P. acnes, M-type skin can be adjusted to C-type skin, which can be used for skin anti-aging.
  • the present invention finds for the first time that by increasing the relative level (such as content) of Moraxella oslo, the C-type skin can be adjusted to the M-type skin, which is used for the treatment of acne.
  • the present invention finds for the first time that the correlation analysis between single bacteria and skin phenotypes is carried out to explore whether skin microorganisms may cause changes in the skin phenotype of the host, and to provide new insights and new perspectives for the study of the interaction between microorganisms and the host.
  • the present invention finds for the first time that the bacterial supernatant is used to treat the host epidermal cells to explore the interaction relationship between the bacteria and the host at the molecular level, and is not limited to correlation research.
  • the Shanghai resident population was recruited as volunteers for this study. All volunteers participating in this study will be examined by a dermatologist at Shanghai Dermatology Hospital to rule out skin lesions such as dermatitis, eczema, acne, psoriasis, infection, etc. Skin disease, while excluding volunteers treated with systemic or topical antibiotics within the past 6 months. Finally, 294 healthy subjects aged 20-65 were included, including 46 males (M) and 248 females (F) (Table 1).
  • the sampling site was maintained at an indoor temperature of 20 degrees Celsius and a humidity of 50%.
  • the experimenter used a special sterile swab dipped in 0.15M NaCl and 0.1% Tween20 solution to repeatedly wipe the subject's forehead (Fh), cheeks (Ch) and paranasal (Ns) three parts about 4cm2 area, back and forth 20 times . Then, the swab was broken, placed in a 1.5ml sterile EP tube, and frozen at -80°C until the skin microorganism genomic DNA was extracted.
  • the schematic diagram of the sampling part is shown in Figure 1.
  • the samples were amplified by the whole genome amplification method, followed by metagenomic sequencing, and finally the sequencing data of 822 facial skin microbial samples were obtained.
  • the relative abundance of each gene was calculated by SOAP2 (version 2.21), and then the sum of the relative abundances of genes from the same strain was calculated according to the alignment result of each gene, which represented the relative abundance of the strain.
  • the species level and sebum content, stratum corneum water content, transepidermal water loss rate, skin pH value, pigmentation, Porphyrin, skin color, pores and other phenotypes were subjected to correlation analysis (Spearman Rank method) to evaluate the correlation between strain levels and phenotypes; FDR test was performed on the P value of the correlation analysis results, and the corrected P value ⁇ 0.05 indicated The difference is statistically significant.
  • Correlation heatmaps were drawn using the R package pheatmap (version 1.0.12) as the results. Blue, negative correlation; red: positive correlation; significant level of Spearman correlation: *, p ⁇ 0.05; **, p ⁇ 0.01; ***, p ⁇ 0.001.
  • MMP Matrix metalloproteinase
  • the confirmed bacteria are cultured in liquid, and the pure medium without bacteria inoculation is set as the control group;
  • HaCaT cells Culture human keratinocytes 1 ⁇ 10 6 .
  • the bacterial liquid supernatant treatment group (experimental group) and the pure medium control group were set, and each group was repeated three times. Gently shake the culture plate to distribute the cells evenly, and place it into a 37°C, 5% CO 2 cell incubator for culture.
  • Table 3 is three kinds of bacteria used in the present invention.
  • RNA concentration of each sample is adjusted to 200ng/ ⁇ L.
  • ii Take a total of 1 ⁇ g of total RNA for reverse transcription reaction, and store the remaining RNA at -80°C;
  • QuantiFast SYBR Green PCR Kit of QIAGEN company was used for real-time quantitative PCR (Real-time PCR) to detect the relative expression level of the gene.
  • Example 1 Composition of the facial skin microbiome of the Han population
  • Example 2 Population typing analysis based on skin microbiome
  • the skin microbiome like the gut microbiome, is affected by a variety of factors, and there are significant individual differences.
  • the present invention draws on the method of enterotype to classify the population based on skin microbes and explore the driving factors of the type, so as to find the potential rules behind the skin microbiome, and provide a new classification standard for clinical diagnosis.
  • the present invention screened subjects with no missing skin microbiome data in three sites, a total of 247 subjects.
  • Skin type identification was performed on these 247 subjects based on skin microbiome data.
  • the samples from the three parts were clustered using the PAM method, and the CH index was used to determine the optimal number of clusters. Please refer to Figure 3, the results of the CH index show that when the number of clusters is 2, the CH index has the highest score, so the optimal number of clusters in the three parts is 2.
  • the present invention performs genotyping analysis on the samples, which are divided into two categories, and respectively use the JSD distance and the Bray-Curtis distance to perform PCoA analysis on the genotyping results of the samples in the three parts.
  • Figures 4A-L The results show that the sample typing results of the three parts can be effectively divided into two categories, and the microorganisms that contribute the most to the classification are Propionibacterium acnes and Moraxella oslo, namely a The class enriches P. acnes and the other class enriches Moraxella oslo.
  • the two cutotypes we named the two cutotypes as C-Cutotype and M-Cutotype, respectively.
  • the present invention analyzes the differential flora of C-Cutotype and M-Cutotype based on the skin microbiome data of the forehead.
  • the colors represent relative levels (eg, relative abundance) of microorganisms, with one sample per column and one microorganism per row.
  • the results of the differential analysis showed that some microbes prefer a certain skin type, possibly due to the interaction between the flora. For example, P. greedy, P. granulosum, staphylococcus, P. acnes and staphylococcus phage were enriched in C-Cutotype.
  • Moraxella bovoculi and Psychrobacter sp. were enriched.
  • correlation analysis is performed based on the relative levels of the differential flora, and is displayed in the form of a network diagram.
  • the results show that there is a strong positive correlation between microorganisms enriched in the same skin type, while a strong negative correlation exists between microorganisms enriched between different skin types.
  • the results of this analysis indicate that microorganisms enriched in the same skin type may occupy different ecological niches, form a stable ecological network with each other, and build a strong microbial community to resist other microorganisms including opportunistic and New colonization of potentially pathogenic microorganisms.
  • Type C Hybrid M type cheek ⁇ 0.75 0.75 ⁇ M/C ⁇ 1.68 ⁇ 1.68 forehead ⁇ 1.24 1.24 ⁇ M/C ⁇ 2.18 ⁇ 2.18 Nose ⁇ 0.34 0.34 ⁇ M/C ⁇ 0.55 ⁇ 0.55
  • the skin classification sampling principle in clinical application the facial skin parts that need to be improved, and then refer to the above data classification.
  • C bacteria the full name of C bacteria is Propionibacterium acnes, and its level (eg abundance) is closely related to skin acne.
  • M bacteria There are very few related reports on M bacteria. The present study finds for the first time that M bacteria are correlated with skin phenotypes, are positively correlated with age, and are associated with some skin aging phenotypes.
  • the inventors conducted experiments on changes in skin texture and M/C of subjects, and obtained the results in Table 2, which showed that the M/C ratio was related to skin texture.
  • As the level of M bacteria increased skin oil decreased, moisture content decreased, gloss decreased, and yellow value (skin dullness) increased; associated with some typical features of acne, such as increased M bacteria, decreased oil, porphyrin Morphine (mostly C bacteria metabolites, which can promote inflammation) decreased, and the pore area decreased.
  • Table 7 lists the correlation between related phenotypes and M/C value, and all phenotypes are significantly correlated (p ⁇ 0.05).
  • this system is known to be responsible for carbohydrate transport and phosphorylation and is associated with the ability to metabolize glucose, maltose, lactose, fructose and cellobiose, possibly reflecting C-Cutotype's dependence on carbohydrates as a nutrient source.
  • Moraxella oslo found that the microbe was unable to utilize any carbohydrates and relied on fatty acids and alcohols as carbon sources. This further suggests that the two skin types may constitute two communities with different nutritional requirements.
  • the skin microenvironment is the growth environment of skin microorganisms, it determines the nutrients available to the microorganisms. Therefore, to explore whether the skin phenotype is the driving factor for the different skin types, we further analyzed the phenotypic differences between the two skin types. Referring to Figure 7, it was found that the two skin types had significant differences in stratum corneum moisture, oil, and skin color. In contrast, C-Cutotype has higher oil and moisture content, while M-Cutotype has drier skin. Since oil is the main source of nutrients for microbes, this result further suggests that differences in our nutritional requirements are the driving factors for different skin types.
  • the skin phenotypic characteristics of M-Cutotype were similar to those of the elderly, therefore, we compared whether there were differences in age between the two skin types. Please refer to Figure 8.
  • the age of the M-Cutotype group was significantly larger than that of the C-Cutotype group, but further analysis found that both C-Cutotype and M-Cutotype existed in different age groups, that is, C-Cutotype in the elderly , M-Cutotype is present in young adults. Therefore, we guess that age is not the real determinant, and nutritional needs are the direct determinant.
  • the difference in age may be due to changes in host physiology during aging that affect the skin phenotype, resulting in an older M-Cutotype.
  • Example 5 Potential targets for skin aging by M bacteria
  • alkylphenol ethoxylates have estrogen-like activities, and it has been proved that these compounds can mimic the effect of estradiol in vivo and in vitro, and are called environmental estrogens. Therefore, skin microbes have the potential to interfere with the production of estradiol, which is essential for preventing skin aging (see Figure 10).
  • RNA-Seq Signal pathway enrichment analysis of differentially expressed genes by RNA-Seq suggested that Moraxella oslo could affect skin cells through signaling pathways, mainly including regulation of collagen synthesis and decomposition. Please refer to Figure 12.
  • Moraxella oslo was known to be associated with age and skin aging phenotypes.
  • a single skin surface compound was used to incubate Moraxella oslo, and the number of viable bacteria was examined to reflect the microbial utilization of different skin surface compounds and the toxicity of specific compounds to Moraxella oslo.
  • the growth of Moraxella oslo can be regulated, so as to achieve the purpose of delaying aging.
  • CCK-8 and Dye mix A were used to explore the effects of 32 skin surface compounds on the growth of Moraxella oslo.
  • the compounds are: L-lysine, L-glutamine, L-histidine, L-arginine, taurocholic acid, creatinine, D-glucose, L-lactic acid, glycerol, 2-carboxybenzaldehyde , urea, SDS, L-threonine, L-tryptophan, glycine, L-methionine, L-serine, L-glutamic acid, L-phenylalanine, L-cystine, L-tyrosine Acid, L-Leucine, L-Isoleucine
  • L-ornithine hydrochloride L-citrulline, L-proline, L-valine, L-alanine, D-aspartic acid, trans-4-hydroxy-L- Proline, uric acid, taurine.
  • L-glutamine, L-histidine, L-serine, and L-proline significantly promoted the growth of Moraxella oslo, while SDS had a significant inhibitory effect.
  • the present invention proves that skin types exist widely and are not affected by skin location, race, health status, and the like.
  • a skin condition typing system the system includes a feature receiving module, a calculation processing module and a result output module, each module is connected by wire or wireless, and the typing steps are as follows:
  • the skin sample characteristic data is the respective levels of Moraxella oslo and P. acnes.
  • the collection site is the same as that described in Embodiment 1, and the detection method is as described in the detection method.
  • the processing module receives the skin sample characteristic data from the characteristic receiving module, calculates the respective ratios of the quantified Moraxella oslo and P. acnes or the relative ratios between each other, and based on the obtained respective ratios or the relative proportions of each other, compared with the standard value of skin type or characteristic characterization, so as to obtain the judgment result of skin type and/or skin condition
  • a result output module can be any terminal, such as a display, a printer, a tablet computer (PAD), a smart phone, etc., for receiving and outputting the judgment result.
  • the system includes a storage, wherein threshold information of standard values is stored in the storage.
  • the standard values corresponding to the skin type and/or skin state are:
  • Skin type is C (or type I): when the ratio (M/C) of the level (eg content) (M) of the Moraxella oslo to the level (eg content) (C) of the P. acnes When the following conditions are met: M/C ⁇ 1.3, preferably, M/C ⁇ 0.8, more preferably M/C ⁇ 0.4. Skin state of this phenotype: oily, higher water content, good skin elasticity.
  • the skin type is M type (type III): when the ratio of the level (eg content) (M) of the Moraxella oslo to the level (eg content) (C) of the P. acnes in the sample ( M/C) meets the following conditions: M/C ⁇ 0.5, preferably, M/C ⁇ 1.8, more preferably, M/C ⁇ 2.2.
  • M/C ⁇ 0.5, preferably, M/C ⁇ 1.8, more preferably, M/C ⁇ 2.2 The skin condition of this phenotype: poor oil and water content, poor skin elasticity, and high degree of skin aging.
  • the skin type is mixed (or type II): when the ratio (M/C) of the level (eg content) (M) of the Moraxella oslo to the level (eg content) (C) of the P. acnes When the following conditions are met: 0.3 ⁇ M/C ⁇ 2.5, preferably, 0.3 ⁇ M/C ⁇ 2.3, more preferably, 0.8 ⁇ M/C ⁇ 1.8.
  • the skin state of this phenotype is between C and M types.
  • MMPs matrix metalloproteinases

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Abstract

La présente invention concerne l'utilisation de Moraxella osloensis, qui est utilisée pour la détermination des types de peau, la caractérisation d'affections cutanées ou pour la préparation d'un réactif ou d'un kit pour la caractérisation d'affections cutanées. La présente invention concerne en outre une association de marqueurs, comprenant les marqueurs suivants : Moraxella osloensis et Propionibacterium acnes. La présente invention concerne également l'utilisation de ladite association de marqueurs dans la détermination des types de peau et/ou l'évaluation d'affections cutanées.
PCT/CN2021/135870 2020-12-08 2021-12-06 Association de marqueurs pour la détermination des types de peau et son utilisation WO2022121864A1 (fr)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102465182A (zh) * 2010-10-29 2012-05-23 株式会社爱茉莉太平洋 检测皮肤活性物质的检测试剂盒和检测皮肤活性物质的方法
CN103898006A (zh) * 2014-01-28 2014-07-02 重庆市畜牧科学院 山羊源奥斯陆莫拉菌及其分子鉴定的特异性片段及应用
CN108690881A (zh) * 2017-03-30 2018-10-23 欧蒙医学诊断技术有限公司 用于诊断皮肤癣菌病的测定法

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102465182A (zh) * 2010-10-29 2012-05-23 株式会社爱茉莉太平洋 检测皮肤活性物质的检测试剂盒和检测皮肤活性物质的方法
CN103898006A (zh) * 2014-01-28 2014-07-02 重庆市畜牧科学院 山羊源奥斯陆莫拉菌及其分子鉴定的特异性片段及应用
CN108690881A (zh) * 2017-03-30 2018-10-23 欧蒙医学诊断技术有限公司 用于诊断皮肤癣菌病的测定法

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
ALKHATIB NIDAL J., YOUNIS MANAF H., ALOBAIDI AHMAD S., SHAATH NEBAL M.: "An unusual osteomyelitis caused by Moraxella osloensis: A case report", INTERNATIONAL JOURNAL OF SURGERY CASE REPORTS, ELSEVIER, AMSTERDAM, NL, vol. 41, 1 January 2017 (2017-01-01), AMSTERDAM, NL, pages 146 - 149, XP055941183, ISSN: 2210-2612, DOI: 10.1016/j.ijscr.2017.10.022 *
LIM JAE YUN, HWANG INGYU, GANZORIG MUNKHTSATSRAL, HUANG SHIR-LY, CHO GYU-SUNG, FRANZ CHARLES M. A. P., LEE KYOUNG: "Complete Genome Sequences of Three Moraxella osloensis Strains Isolated from Human Skin", GENOME ANNOUNCEMENTS, vol. 6, no. 3, 18 January 2018 (2018-01-18), XP055941180, DOI: 10.1128/genomeA.01509-17 *

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