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Clustering of individual samples showed 2 groups depending on abundance of Lactobacillus OTUs. Technical filtering was performed on data produced by QIIME: ribosomal database project score <0.9 and <2 reads are filtered. All plots are based on filtered data. “Others” are filtered OTUs + remaining OTUs. Endometrial microbiota distribution during the acquisition of endometr receptivity Endometrial microbiota distribution during the acquisition of endometrial receptivity

Figure 5 Clustering of individual samples showed 2 groups depending on abundance of Lactobacillus OTUs. Technical filtering was performed on data produced by QIIME: ribosomal database project score <0.9 and <2 reads are filtered. All plots are based on filtered data. “Others” are filtered OTUs + remaining OTUs. Endometrial microbiota distribution during the acquisition of endometr receptivity Endometrial microbiota distribution during the acquisition of endometrial receptivity

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Bacterial communities in endometrial and vaginal microbiota of fertile subjects Bar charts showing mean values of 20 most abundant operational taxonomic units in endometrial fluid (EF) and vaginal aspirates (VA) of 26 paired samples from 13 fertile subjects. Technical filtering was performed on data produced by QIIME: ribosomal database project score <0.9 and <2 reads were filtered. Plot is based on filtered data. Others: Bradyrhizobium, Desulfovibrio, Brachybacterium, Sporichthyaceae, Pseudoramibacter_Eubacterium, Lactobacillales, Facklamia, Scardovia, Rhizo- bium, Citrobacter, JG30-KF-CM45, Micrococcaceae, Cellulosimicrobium, Mycobacterium, Bacillus, WCHB1-84, Escherichia, _Ruminococcus, Actinobaculum, Rikenellaceae, Gemellaceae, [Weeksellaceae], Coprococcus, Comamonas, Neisseria, Clostridiales, Dietzia, Varibaculum, Microbacterium, Ureaplasma, Faecalibacterium, Arcanobacterium, Streptophyta, MLE1-12, Para- bacteroides, Granulicatella, Azospirillum, Fusobacterium, 1-68, Pseudoxanthomonas, Porphyr- omonas, Kocuria, Clostridiales, Methylobacterium, Ochrobactrum, Haemophilus, — Listeria, Agrobacterium, Luteibacter, Peptostreptococcus, Actinomyces, Blastomonas, [Ruminococcus], Gemella, WAL_1855D, Micrococcus, Blautia, Veillonella, Actinobacillus, Staphylococcus, Fine- goldia, Mycoplasma, Achromobacter, Anaerococcus, Paracoccus, Ralstonia, Corynebacterium, Enhydrobacter, Mobiluncus, Peptoniphilus. FIGURE 1
Bacterial communities in endometrial and vaginal microbiota of fertile subjects Bar charts showing mean values of 20 most abundant operational taxonomic units in endometrial fluid (EF) and vaginal aspirates (VA) of 26 paired samples from 13 fertile subjects. Technical filtering was performed on data produced by QIIME: ribosomal database project score <0.9 and <2 reads were filtered. Plot is based on filtered data. Others: Bradyrhizobium, Desulfovibrio, Brachybacterium, Sporichthyaceae, Pseudoramibacter_Eubacterium, Lactobacillales, Facklamia, Scardovia, Rhizo- bium, Citrobacter, JG30-KF-CM45, Micrococcaceae, Cellulosimicrobium, Mycobacterium, Bacillus, WCHB1-84, Escherichia, _Ruminococcus, Actinobaculum, Rikenellaceae, Gemellaceae, [Weeksellaceae], Coprococcus, Comamonas, Neisseria, Clostridiales, Dietzia, Varibaculum, Microbacterium, Ureaplasma, Faecalibacterium, Arcanobacterium, Streptophyta, MLE1-12, Para- bacteroides, Granulicatella, Azospirillum, Fusobacterium, 1-68, Pseudoxanthomonas, Porphyr- omonas, Kocuria, Clostridiales, Methylobacterium, Ochrobactrum, Haemophilus, — Listeria, Agrobacterium, Luteibacter, Peptostreptococcus, Actinomyces, Blastomonas, [Ruminococcus], Gemella, WAL_1855D, Micrococcus, Blautia, Veillonella, Actinobacillus, Staphylococcus, Fine- goldia, Mycoplasma, Achromobacter, Anaerococcus, Paracoccus, Ralstonia, Corynebacterium, Enhydrobacter, Mobiluncus, Peptoniphilus. FIGURE 1
Microbiotic profiles showing microbial taxa composition, relative abundance of endometrial fluid (E) and vaginal aspirate (V) samples, and alpha diversity index represented as Shannon value, assessed simultaneously in prereceptive and receptive phase of 13 fertile subjects. Twenty most representative operational taxonomic units are shown. Technical filtering was performed on data produced by QIIME: ribosomal database project score <0.9 and <2 reads are filtered. Plot is based on filtered data. Others: Bradyrhizobium, Desulfovibrio, Brachybacterium, Sporichthyaceae, Pseudoramibacter_Eubacterium, Lactobacillales, Facklamia, Scardovia, Rhizobium, Citrobacter, JG30-KF-CM45, Micrococcaceae, Cellulosimicrobium, Mycobacterium, Bacillus, WCHB1-84, Escherichia, Ruminococcus, Actinobaculum, Rikenellaceae, Gemellaceae, [Weeksellaceae], Coprococcus, Comamonas, Neisseria, Clostridiales, Dietzia, Varibaculum, Microbacterium, Ureaplasma, Faecalibacterium, Arcanobacterium, Streptophyta, MLE1-12. Parabacteroides, Granulicatella, Azospirillum, Fusobacterium, 1-68, Pseudoxanthomonas, Porphyromonas, Kocuria, Methylobacteriaceae, Methy!- obacterium, Ochrobactrum, Haemophilus, Listeria, Agrobacterium, Luteibacter, Peptostreptococcus, Actinomyces, Blastomonas, [Ruminococcus], Gemella, WAL_1855D, Micrococcus, Blautia, Veillonella, Actinobacillus, Staphylococcus, Finegoldia, Mycoplasma, Achromobacter, Anaerococcus, Paracoccus, Ralstonia, Corynebacterium, Enhydrobacter, Mobiluncus, Peptoniphilus.
Microbiotic profiles showing microbial taxa composition, relative abundance of endometrial fluid (E) and vaginal aspirate (V) samples, and alpha diversity index represented as Shannon value, assessed simultaneously in prereceptive and receptive phase of 13 fertile subjects. Twenty most representative operational taxonomic units are shown. Technical filtering was performed on data produced by QIIME: ribosomal database project score <0.9 and <2 reads are filtered. Plot is based on filtered data. Others: Bradyrhizobium, Desulfovibrio, Brachybacterium, Sporichthyaceae, Pseudoramibacter_Eubacterium, Lactobacillales, Facklamia, Scardovia, Rhizobium, Citrobacter, JG30-KF-CM45, Micrococcaceae, Cellulosimicrobium, Mycobacterium, Bacillus, WCHB1-84, Escherichia, Ruminococcus, Actinobaculum, Rikenellaceae, Gemellaceae, [Weeksellaceae], Coprococcus, Comamonas, Neisseria, Clostridiales, Dietzia, Varibaculum, Microbacterium, Ureaplasma, Faecalibacterium, Arcanobacterium, Streptophyta, MLE1-12. Parabacteroides, Granulicatella, Azospirillum, Fusobacterium, 1-68, Pseudoxanthomonas, Porphyromonas, Kocuria, Methylobacteriaceae, Methy!- obacterium, Ochrobactrum, Haemophilus, Listeria, Agrobacterium, Luteibacter, Peptostreptococcus, Actinomyces, Blastomonas, [Ruminococcus], Gemella, WAL_1855D, Micrococcus, Blautia, Veillonella, Actinobacillus, Staphylococcus, Finegoldia, Mycoplasma, Achromobacter, Anaerococcus, Paracoccus, Ralstonia, Corynebacterium, Enhydrobacter, Mobiluncus, Peptoniphilus.
A, Shannon index rarefaction curves for each sample. Prereceptive (two days after the luteinizing hormone surge, LH+2). Receptive (seven days after the luteinizing hormone surge, LH+7). B, Principal coordinate analysis plot calculated based on Bray-Curtis distances. EF, endometrial fluid; VA, vaginal aspirate.
A, Shannon index rarefaction curves for each sample. Prereceptive (two days after the luteinizing hormone surge, LH+2). Receptive (seven days after the luteinizing hormone surge, LH+7). B, Principal coordinate analysis plot calculated based on Bray-Curtis distances. EF, endometrial fluid; VA, vaginal aspirate.
Distribution of endometrial and vaginal microbiota in paired samples Number of pair samples with detection of most abundant operational taxonomic units in vaginal aspirate alone (VA), endometrial fluid (EF) alone, and in both VA and EF.
Distribution of endometrial and vaginal microbiota in paired samples Number of pair samples with detection of most abundant operational taxonomic units in vaginal aspirate alone (VA), endometrial fluid (EF) alone, and in both VA and EF.
A, Shannon index rarefaction curves for each sample. B, Principal coordinate analysis plot calculated based on Bray-Curtis distances. Prereceptive (LH-+2); Receptive (LH+7).
A, Shannon index rarefaction curves for each sample. B, Principal coordinate analysis plot calculated based on Bray-Curtis distances. Prereceptive (LH-+2); Receptive (LH+7).
Endometrial microbiota stability during acquisition of endometrial receptivity Microbiotic profiles showing microbial taxa composition, relative abundance of endometrial fluid samples in prereceptive (luteinizing hormone (two days after he luteinizing hormone surge, LH+-2) and receptive (seven days after the luteinizing hormone surge, LH+-7) phase of 22 fertile subjects, and alpha diversity index calculated as Shannon value. Depending on percentage of Lactobacillus operational taxonomic units (OTUs), Lactobacillus-dominated (LD) or non-LD (NLD) endometrial microbiota profile was assigned to each sample. Twenty most representative OTUs are shown. Technical filtering was performed on date produced by QIIME: ribosomal database project score <0.9 and <2 reads are filtered. Plot is based on filtered data. Others: Scardovia, Brachybacterium, Sporichthyaceae, Alloiococcus, Oxalobacteraceae, Dokdonella, JG30-KF-CM45, Arcanobacterium, Veillonellaceae, S085, Mucispirillum, SMB53, Ellin6075, Burkholderia, Alicyclobacillus, Cellulosimicrobium, Hydrogenophaga, Leucobacter, Pseudoramibacter_Eubacterium, Facklamia, Rhodovibrio, Inquilinus, Ellin6529, Mycobacterium, Balneimonas, MLE1-12, Azospirillum, Varibaculum, Abiotrophia, Tepidimonas, [Eubacterium], {Weeksellaceae], Methyl- obacteriaceae, Porphyromonadaceae, Sphingobacteriales, Eikenella, Dermabacter, Chryseobacterium, Carboxydocella, Comamonas, Capnocytophaga, SA1, Propionimicrobium, iii1-15, Ochrobactrum, Georgenia, Bilophila, Moraxella, Cytophagaceae, Alistipes, Luteibacter, Moryella, Odoribacter, RB41, Rikenella, Salinicoccus, Caldilineaceae, Desulfovibrio, Enhydrobacter, Thermoanaerobacterium, Propionicimonas, Granulicatella, Cloacibacterium, Por- phyromonas, Marinobacter, Pseudoclavibacter, Bartonella, Actinobaculum, WAL_1855D, Microbacterium, Agrobacterium, Rhodoplanes, Parabacteroides, Phascolarctobacterium, Peptostreptococcus, Variovorax, Diaphorobacter, Flavisolibacter, Methylobacterium, Thermicanus, Proteus, Coprococcus, Hyme- nobacter, Dorea, Sutterella, Lachnospira, Nitrospira, Collinsella, Fusobacterium, Petrobacter, Novosphingobium, Micrococcus, Lactobacillales, GMD14HO09, Citrobacter, Actinobacillus, Ureaplasma, Haemophilus, 1-68, Anoxybacillus, Microbispora, Rubrobacteraceae, Mycoplasma, Clostridium [Lachnospiraceaé|, Bradyrhizobium, Neisseria, Flavobacteriaceae, Gemella, Lautropia, Actinomyces, Achromobacter, Ralstonia, Mobiluncus, Streptophyta, S24-7 , Roseomonas, Paracoccus, Rubrobacter, Ruminococcus, Lachnospiraceae, Janthinobacterium, Klebsiella, Roseburia, Ruminococcaceae, Cyanothece, Finegoldia, Lacto- coccus, Peptoniphilus, Sphingobacterium, Stenotrophomonas, Blautia, Aerococcaceae, Anaerococcus, Aerococcus, Rikenellaceae, Faecalibacterium, Halorhodospira, Sphingobium, Oscillospira, Rothia, Coriobacteriaceae, Bacillus, Gemellaceae, Veillonella, Clostridiales.
Endometrial microbiota stability during acquisition of endometrial receptivity Microbiotic profiles showing microbial taxa composition, relative abundance of endometrial fluid samples in prereceptive (luteinizing hormone (two days after he luteinizing hormone surge, LH+-2) and receptive (seven days after the luteinizing hormone surge, LH+-7) phase of 22 fertile subjects, and alpha diversity index calculated as Shannon value. Depending on percentage of Lactobacillus operational taxonomic units (OTUs), Lactobacillus-dominated (LD) or non-LD (NLD) endometrial microbiota profile was assigned to each sample. Twenty most representative OTUs are shown. Technical filtering was performed on date produced by QIIME: ribosomal database project score <0.9 and <2 reads are filtered. Plot is based on filtered data. Others: Scardovia, Brachybacterium, Sporichthyaceae, Alloiococcus, Oxalobacteraceae, Dokdonella, JG30-KF-CM45, Arcanobacterium, Veillonellaceae, S085, Mucispirillum, SMB53, Ellin6075, Burkholderia, Alicyclobacillus, Cellulosimicrobium, Hydrogenophaga, Leucobacter, Pseudoramibacter_Eubacterium, Facklamia, Rhodovibrio, Inquilinus, Ellin6529, Mycobacterium, Balneimonas, MLE1-12, Azospirillum, Varibaculum, Abiotrophia, Tepidimonas, [Eubacterium], {Weeksellaceae], Methyl- obacteriaceae, Porphyromonadaceae, Sphingobacteriales, Eikenella, Dermabacter, Chryseobacterium, Carboxydocella, Comamonas, Capnocytophaga, SA1, Propionimicrobium, iii1-15, Ochrobactrum, Georgenia, Bilophila, Moraxella, Cytophagaceae, Alistipes, Luteibacter, Moryella, Odoribacter, RB41, Rikenella, Salinicoccus, Caldilineaceae, Desulfovibrio, Enhydrobacter, Thermoanaerobacterium, Propionicimonas, Granulicatella, Cloacibacterium, Por- phyromonas, Marinobacter, Pseudoclavibacter, Bartonella, Actinobaculum, WAL_1855D, Microbacterium, Agrobacterium, Rhodoplanes, Parabacteroides, Phascolarctobacterium, Peptostreptococcus, Variovorax, Diaphorobacter, Flavisolibacter, Methylobacterium, Thermicanus, Proteus, Coprococcus, Hyme- nobacter, Dorea, Sutterella, Lachnospira, Nitrospira, Collinsella, Fusobacterium, Petrobacter, Novosphingobium, Micrococcus, Lactobacillales, GMD14HO09, Citrobacter, Actinobacillus, Ureaplasma, Haemophilus, 1-68, Anoxybacillus, Microbispora, Rubrobacteraceae, Mycoplasma, Clostridium [Lachnospiraceaé|, Bradyrhizobium, Neisseria, Flavobacteriaceae, Gemella, Lautropia, Actinomyces, Achromobacter, Ralstonia, Mobiluncus, Streptophyta, S24-7 , Roseomonas, Paracoccus, Rubrobacter, Ruminococcus, Lachnospiraceae, Janthinobacterium, Klebsiella, Roseburia, Ruminococcaceae, Cyanothece, Finegoldia, Lacto- coccus, Peptoniphilus, Sphingobacterium, Stenotrophomonas, Blautia, Aerococcaceae, Anaerococcus, Aerococcus, Rikenellaceae, Faecalibacterium, Halorhodospira, Sphingobium, Oscillospira, Rothia, Coriobacteriaceae, Bacillus, Gemellaceae, Veillonella, Clostridiales.
Endometrial microbiota is related to pregnancy outcomes for in vitro fertilization patients Moreno et al. Endometrial microbiota impacts reproductive potential. Am J Obstet Gynecol 2016.
Endometrial microbiota is related to pregnancy outcomes for in vitro fertilization patients Moreno et al. Endometrial microbiota impacts reproductive potential. Am J Obstet Gynecol 2016.
Shannon diversity values, OTUs abundances, and microbiotic profiles from in vitro fertilization patients. Technical filtering was done from data coming from QIIME: ribosomal database project score <0.9 and <2 reads are filtered. All plots are based on these filtered data. CD, cycle day; ET, embryo transfer; LD, Lactobacillus dominated; LH, luteinizing hormone; NA, not applicable; NLD, non-Lactobacillus dominated; NR, nonreceptive; OTU, operational taxonomic unit; P, progesterone; R, receptive; VTOP, voluntary termination of pregnancy. Moreno et al. Endometrial microbiota impacts reproductive potential. Am J Obstet Gynecol 2016. Endometrial microbiota is related to pregnancy outcomes for in vitro fertilization patients (continuec TABLE 1
Shannon diversity values, OTUs abundances, and microbiotic profiles from in vitro fertilization patients. Technical filtering was done from data coming from QIIME: ribosomal database project score <0.9 and <2 reads are filtered. All plots are based on these filtered data. CD, cycle day; ET, embryo transfer; LD, Lactobacillus dominated; LH, luteinizing hormone; NA, not applicable; NLD, non-Lactobacillus dominated; NR, nonreceptive; OTU, operational taxonomic unit; P, progesterone; R, receptive; VTOP, voluntary termination of pregnancy. Moreno et al. Endometrial microbiota impacts reproductive potential. Am J Obstet Gynecol 2016. Endometrial microbiota is related to pregnancy outcomes for in vitro fertilization patients (continuec TABLE 1
A, Bacterial community diversity assessed by Shannon value, in endometrial fluid of in vitro fertil- ization patients classified as LD or NLD microbiota. Each individual is represented separately. In- dividual samples (gray dots). Mean of all subjects (red). B, Shannon index rarefaction curves show statistical significance (Shannon ttest, P= .0239) of separation between 2 groups: LD (red) and NLD (blue). Community diversity in Lactobacillus dominated (LD) and non-LD (NLD) microbiota groups Lactobacillus spp. present in the vagina produce lactic acid and short-chain fatty acids that decrease pH values (pH = 4.5); thus, we hypothesized that a healthy endometrial microbiota, mainly comprising Lactobacillus spp., would produce lower pH values in EF samples compared to NLD microbiota. There- fore, the pH was measured in a series of EF samples (n = 14) before genomic
A, Bacterial community diversity assessed by Shannon value, in endometrial fluid of in vitro fertil- ization patients classified as LD or NLD microbiota. Each individual is represented separately. In- dividual samples (gray dots). Mean of all subjects (red). B, Shannon index rarefaction curves show statistical significance (Shannon ttest, P= .0239) of separation between 2 groups: LD (red) and NLD (blue). Community diversity in Lactobacillus dominated (LD) and non-LD (NLD) microbiota groups Lactobacillus spp. present in the vagina produce lactic acid and short-chain fatty acids that decrease pH values (pH = 4.5); thus, we hypothesized that a healthy endometrial microbiota, mainly comprising Lactobacillus spp., would produce lower pH values in EF samples compared to NLD microbiota. There- fore, the pH was measured in a series of EF samples (n = 14) before genomic
Descriptive characteristics of subjects, cycles, transfers, and outcome results
Descriptive characteristics of subjects, cycles, transfers, and outcome results
Bar charts showing mean values of 20 most abundant operational taxonomic units (OTUs) ir receptive subjects grouped by their reproductive outcomes: live births (LB) correspond to patient: who became pregnant and successfully delivered: nonpregnant (NP) are patients who did no conceive; finally, miscarriage (MISC) applied for those patients who became pregnant but experi: enced either biochemical or clinical pregnancy. Twenty most abundant taxa are represented, while sum of remaining OTUs are included as “others” that comprise: Cloacibacterium, Ethanoligenens Akkermansia, Acidimicrobiales, Cytophagaceae, Haliangiaceae, Halomonas, Hydrogenophaga Brochothrix, Ureaplasma, Bilophila, Actinobaculum, Diaphorobacter, Phascolarctobacterium SMB53, Oligella, WCHB1-84, Ellin6075, Cellvibrio, Balneimonas, Ochrobactrum, Petrobacter
Bar charts showing mean values of 20 most abundant operational taxonomic units (OTUs) ir receptive subjects grouped by their reproductive outcomes: live births (LB) correspond to patient: who became pregnant and successfully delivered: nonpregnant (NP) are patients who did no conceive; finally, miscarriage (MISC) applied for those patients who became pregnant but experi: enced either biochemical or clinical pregnancy. Twenty most abundant taxa are represented, while sum of remaining OTUs are included as “others” that comprise: Cloacibacterium, Ethanoligenens Akkermansia, Acidimicrobiales, Cytophagaceae, Haliangiaceae, Halomonas, Hydrogenophaga Brochothrix, Ureaplasma, Bilophila, Actinobaculum, Diaphorobacter, Phascolarctobacterium SMB53, Oligella, WCHB1-84, Ellin6075, Cellvibrio, Balneimonas, Ochrobactrum, Petrobacter
Endometrial community diversity is not predictor for reproductive outcome
Endometrial community diversity is not predictor for reproductive outcome
Related topics:
Embryo TransferFertilization in VitroLogistic ModelsLive birthembryo implantationPaediatrics and reproductive medicine
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