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Assessing Endometrial Receptivity: Endometrial Markers of Implantation

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Dr. José A. Horcajadas

Associate Professor, U. Pablo de Olavide, Seville, Spain Research Associate Professor, EVMS, Norfolk, Virginia, US CSO, Recombine Europe, Barcelona, Spain

Assessing Endometrial Receptivity:

Endometrial Markers of Implantation

(2)

Genomics of Human Embryo Receptivity

Heraklion (Crete), 5th MSRM Annual Meeting, April, 27-29 2006

Dr. José A. Horcajadas

Fundación IVI (FIVI)-Instituto Universitario IVI (IUIVI) and University of Valencia

Spain

(3)

Median number of follicles on the day of hCG All Subjects Evaluable

0 3 6 9 12 15 18

>=11 mm >=15 mm >=17 mm

ganirelix 0.25 mg ganirelix 2 mg buserelin

(4)

Median serum values for LH, FSH, Estradiol and Progesterone

Simón et al. (2005) Hum Reprod 12:3318-27

(5)

Median  endometrial  da-ng  according  to  Noyes  criteria    

Simón et al. (2005) Hum Reprod 12:3318-27

(6)

Expression  of  E-­‐receptor  (a)  and  P-­‐receptor  (A  and  B)  

for  luminal  epithelium,  glandular,  and  stromal  -ssue  

(7)

SEM  evalua*on  

•   Blinded  evalua*on  by  single  assessor    

•   Selec*on  of  10  random  areas  of  endometrial  surface    

•   Coun*ng  per  area:  

–   Total  number  of  cells  

–   Number  of  cells  with  developing  pinopods  

–   Number  of  cells  with  fully  developed  pinopods   –   Number  of  cells  with  regressing  pinopods  

–   Number  of  cells  with  cilia  

–   Number  of  cells  with  microvilli  

–   Number  of  other  cells  

(8)

SEM  evalua*on  pinopods    

Percentage  of  cells  exhibi*ng  any  type  of  pinopods  

0 2 4 6 8 10 12

hCG +2 hCG +7

% ganirelix 0.25 mg

ganirelix 2 mg buserelin

natural

(9)

EMBRYONIC IMPLANTATION

MOLECULAR DIALOGUE

-

Health embryo at blastocyst stage

Endometrial Receptivity To improve the receptivity

in the endometria under stimulated cycles To know the bases of Infertility

To select the best embryo/s

EMBRYONIC IMPLANTATION

Pregnancy

(10)

IS THE ENDOMETRIUM A MINOR PLAYER?

Endometrium Ovary

Fertilization Gametes…

(11)

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

20 22 24 26 28 30 32 34 36 38 40 42 44

Aneuploidy  is  the  major  cause  of  loss   of  implanta-on  poten-al  with  AMA    

Reprogene-cs  data  2012-­‐2015,  n=  13,400  PGS  cycles  by  array  CGH  and  blastocyst  biopsy   Aneuploid blastocysts

years

(12)

Source: CDC

Infertility increases with age due to Chromosome abnormalities

Source: Reprogenetics (N = 18,000 PGS cycles of aCGH), CDC

Women are reproducing later:

Birth to first-time mothers by age

(per 1000 women)

Delayed  reproduc-on  =  

 infer-lity  by  aneuploidy  

(13)

Biopsy  stage:  

before  arrays  

   30%  postmeio-c  

abnormali-es  undetected  

   Triple  amount  of  cells  to   analyze  vs.  blastocysts  

 30%a  to  60%b  loss  of   implanta-on  poten-al  

   PGD  can  compensate   the  damage  but  does   not  reach  its  poten-al  

   Non  detrimentala  

   Not  all  embryos  reach  

blastocyst,  and  not  all  at  the   same  day  

a Scott et al (2013), b Mastenbroek et al. (2007)

(14)

Normal   Trisomy   Monosomy  

Normal   DNA  

  Embryo  

DNA  

Array  Compara-ve    

Genome  Hybridiza-on  

(15)

46,XY  

(16)

46,XX+7-­‐10    

(17)

Evolution of PGS:

Reprogenetics data

Reprogenetics PGS procedures a year in US. *2015 annualized 0

2000 4000 6000 8000 10000

day 5, NGS day 5 aCGH

8% day 3

(18)

PGS:  Relevance  of  mitocondrial  DNA  

(19)

PGS:  Relevance  of  mitocondrial  DNA  

(20)

Implanta-on  process  

(21)
(22)

14 15 16 17 18 19 20 21

Bergh P, Navot D.

Fertil Steril 1992; 58: 537-42

CLINIC IMPLANTION WINDOW

LH+2 LH+7

LH+0

(23)

Receptive endometrium features

»  Morphological markers

»  Biochemical markers

»   Gene expression pattern

WHAT IS THE ENDOMETRIAL RECEPTIVITY?

(24)

14 15 16 17 18 19 20 21

Bergh P, Navot D.

Fertil Steril 1992; 58: 537-42

CLINIC IMPLANTION WINDOW

LH+2 LH+7

LH+0

(25)

GENE EXPRESSION PROFILING OF HUMAN ENDOMETRIAL RECEPTIVITY AT THE TIME OF IMPLANTATION

EXPERIMENTAL DESIGN

MICROARRAY

AFFIMETRIX HG-U95A 12,686 genes

RNA ISOLATION TWO ENDOMETRIAL

BYOPSIES

LH+2

LH+7

Riesewijk et al. Molec Human Reprod 9, 253-64, 2003

FIVE WOMEN

Caucasian

Fertile women with normal cycles 23–39 years

body mass index:19-25 kg/m2

(26)

GENES REGULATED DURING HUMAN ENDOMETRIAL RECEPTIVITY

Up at LH+7 Down at LH+7

Strong (>10) 22 5

Medium (5-10) 47 12

Weak (3-5) 84 41

153 58

Results (>3.0 fc in 4 out of 5)

(27)

LH+2 LH+7

PCA 1

-1500 -1000 -500 0 500 1000 1500 2000

-3000 -2000 -1000 0 1000 2000 3000 4000

11756

9064

8669

9068 9286

9068

11756

8669

9064

9286

Principal Component Analysis

LH+2 vs Lh+7 samples

Based on 2000 random genes

(28)

GENE EXPRESSION PROFILING OF HUMAN ENDOMETRIAL

RECEPTIVITY AT THE TIME OF IMPLANTATION

(29)

Window of Implantation in

Natural Cycles

14 15 16 17 18 19 20 21

Bergh P, Navot D.

Fertil Steril 1992; 58: 537-42

LH+2 LH+7

LH+0

(30)

Window of Implantation in COS Cycles

14 15 16 17 18 19 20 21

hCG+2 hCG+7

hCG+0

(31)

STUDIES OF THE GENE EXPRESSION

PROFILE OF THE ENDOMETRIUM UNDER COS

-  Gene expression profile of the endometrium during

the WOI in women under treatment with agonists and

different doses of antagonist and in comparison to

natural cycle

(32)

-  Gene expression profile of the endometrium during the WOI in women under treatment with agonists in comparison to natural cycle

STUDIES OF THE GENE EXPRESSION

PROFILE OF THE ENDOMETRIUM UNDER COS

(33)

-  Gene expression profile of the endometrium during the WOI in women under treatment with agonists and different doses of antagonist and in comparison to natural cycle

STUDIES OF THE GENE EXPRESSION

PROFILE OF THE ENDOMETRIUM UNDER COS

(34)

GENE EXPRESSION PROFILING OF WINDOW OF

IMPLANTATION IN NATURAL AND STIMULATED CYCLES

EXPERIMENTAL DESIGN

FIVE ENDOMETRIAL

BYOPSIES AT EACH TIME POINT

MICROARRAY

AFFIMETRIX HG-133A

>22,000 genes 50 WOMEN

Caucasian

Fertile women with normal cycles 23–39 years

body mass index:19-25 kg/m2

LH Day 1 2 3 4 5 6 7 8 9

hCG Day 1 2 3 4 5 6 7 8 9

GeneSpring 7.0 GEPAS

HISTOLOGICAL CONTROL:

BLIND DATING BY NOYES CRITERIA

(35)

PCA OF THE ENDOMETRIAL BIOPSIES

FROM LH+1 TO LH+9 AND hCG+1 TO hCG+9

-  Principal Component Analysis (PCA) integrates the gene expression data of thousand of genes randomly selected to establish relationships between samples.

-  This analysis allows to distribute the endometrial samples in a three dimensional space according to their gene expression profile.

-  Those samples with similar gene expression patterns cluster together in this type of analysis.

(36)

Day LH/hCG+1

PRINCIPAL COMPONENT ANALYSIS (PCA)

Day LH+1/hCG+1

(37)

Day LH/hCG+3 Day LH+3/hCG+3

PRINCIPAL COMPONENT ANALYSIS (PCA)

(38)

Day LH/hCG+5 Day LH+5/hCG+5

PRINCIPAL COMPONENT ANALYSIS (PCA)

(39)

Day LH+7/hCG+7

PRINCIPAL COMPONENT ANALYSIS (PCA)

(40)

Day LH/hCG+9 Day LH+9/hCG+9

PRINCIPAL COMPONENT ANALYSIS (PCA)

(41)

Natural/LH vs IVF across the WOI

PRE-RECEPTIVE RECEPTIVE

PRINCIPAL COMPONENT ANALYSIS (PCA)

(42)

Journal of Clinical Endocrinology of Metabolism 2008, 93:4500-4510

(43)
(44)

Fertility and Sterility, 90:2152-2164

OTHER STUDIES IN STIMULATED CYCLES

USING MICROARRAYS

(45)

Haouzi et al., 2009 Biology of Reproduction

(46)

PUBLICATIONS USING GENE EXPRESSION MICROARRAYS UNTIL 2007

Human Reprod Update 2007

Today >250 publications in PubMed

asking for endometrium and gene

expression microarray

(47)

Development of a customized microarray for endometrial receptivity evaluation:

The ERA: Endometrial Receptivity Array HOW TO APPLY THIS INFORMATION TO

THE CLINIC

(48)

Pre-existing Tests for Endometrial Receptivity Evaluation

- E-tegrity Test: Antibodies for Integrin β3 (Lessey et al., 1995)

-EFT Quick Guide: Cyclines through the menstrual

cycle (Kliman et al., 2006)

(49)

New England Journal of Medicine 2006;354:2463-72.

(50)

INTEGRATING THE AVAILABLE INFORMATION

INTO A MOLECULAR TOOL FOR ENDOMETRIAL EVALUATION

GENE EXPRESSION DATA

NATIONAL INSTITUTE OF BIOINFORMATIC

BIOINFORMATICS FOR FUNTIONAL GENOMICS

Endometrial Evaluation

Predictor

EEP

Low Density

ERA

Endometrial Receptivity

Array

(51)

15k

Probe group: 206 + 28 + 76: 310 genes – 17 genes =

238 genes / 738 probes

Número total de spots:15.744 spots Control Agilent: 536 spots

Spots útiles: 15.208 spots

8 replicates = 738 x 8 = 5.904 spots Empty sponts = 9.304

8x15K

Endometrial Receptivity Array (ERA)

Design

(52)

Endometrial Receptivity Array (ERA) Hierarchical clustering

R

NR

(53)

Endometrial Receptivity Array (ERA)

Transcriptomic Signature

(54)

Endometrial Receptivity Array (ERA)

Comparison with Histology

(55)

-  It includes 238 genes selected for a single experiment performed over 25 different endometrial biopsies in 2006

-  It doesn’t contain some genes of unknown function but useful as biomarkers

-  It doesn’t contain genes discovered in other gene expression platforms

- It uses Agilent customized gene expression microarray

Can the ERA be improved?

ENDOMETRIAL RECEPTIVITY ARRAY

(56)

-  Including genes/biomarkers discovered by other researchers and method (Review of the literature since 2005, 196 genes has been found, only 54 shared with ERA)

-  Including genes related wiith immune response, very relevant in some disorders such as implantation failure

-  Defining the transcriptomic signature of other ethnicities

-  New design of oligos, more robust, less false positive or negative -  New platform of analysis (digital PCR)

-  This new method allows the analysis of 100 samples in 4 hours

-  This new method can reduce the price 5 times (to less than 100 euros)

A NEW METHOD OF “ER” ANALYSIS

(57)

VALIDATION OF OLIGONUCLEOTIDES

(58)

PREDICTION  

NR  

PREDICTION  

PR  

PREDICTION  

R  

Non-receptive or

LH +2

Pre-receptive or

LH +5

Receptive or LH +7

ER  Map    ER  Grade  

(59)

Fluidgim analysis: heat map

(60)

Gene: COL16A1

Fluidgim analysis: Melting curves

(61)

Fluidgim analysis: Ct data

(62)

0 5 10 15 20 25 30 35 40 45 50 1

7 13 19 25 31 37 43 49 55 61 67 73 79 85 91 97 103 109 115 121 127 133 139 145 151 157

Total explained variance (%)

Principal component

ER  Map    ER  Grade  

PRINCIPAL COMPONENTS ANALYSIS

16 Principal components

explain 93.47% of the total variance

(63)

ER  Map    ER  Grade  

Total variance explained

Component

Initial Eigenvalues Extraction Sums of Squared Loadings

Total % of variance Cumulative % Total % of variance Cumulative %

1 67,412 42 42 64,421 40,263 40,263

2 20,316 13 55 19,367 12,104 52,368

3 18,914 12 67 19,345 12,091 64,459

4 11,381 7 74 13,450 8,406 72,865

5 6,278 4 78 5,212 3,257 76,122

6 4,673 3 81 4,736 2,960 79,082

7 4,313 3 83 3,736 2,335 81,417

8 3,054 2 85 2,965 1,853 83,270

9 2,586 2 87 2,814 1,759 85,029

10 2,136 1 88 2,742 1,714 86,743

11 1,939 1 89 2,051 1,282 88,024

12 1,683 1 90 1,993 1,245 89,270

13 1,399 1 91 1,909 1,193 90,463

14 1,343 1 92 1,693 1,058 91,521

15 1,127 1 93 1,664 1,040 92,561

16 1,001 1 93 1,458 ,911 93,472

PRINCIPAL COMPONENTS ANALYSIS

(64)

ER  Map    ER  Grade  

0 5 10 15 20 25 30 35 40 45 50

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Total explained variance (%)

Principal component

PRINCIPAL COMPONENTS ANALYSIS

16 Principal components

explain 93.47% of the total variance

(65)

0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 1

2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

Cumulative % of total explained variance

Principal component

ER  Map    ER  Grade  

PRINCIPAL COMPONENTS ANALYSIS

93.47%

(66)

ER  Map    ER  Grade  

DISCRIMINANT ANALYSIS

16  components  

Classificacion Resultsa

Time

Predicted Group Membership

Total

NR PreR R PostR

Original Count NR 15 0 0 0 15

PreR 1 47 3 0 51

R 0 8 35 1 44

PostR 0 0 1 13 14

Unclassified

cases 2 2 3 4 11

% NR 100,0 0,0 0,0 0,0 100,0

PR 2,0 92,2 5,9 0,0 100,0

R 0,0 18,2 79,5 2,3 100,0

PR 0,0 0,0 7,1 92,9 100,0

Unclassified

cases 18,2 18,2 27,3 36,4 100,0

a. 88,7% de casos agrupados originales clasificados correctamente.

(67)

ER  Map    ER  Grade  

DISCRIMINANT ANALYSIS

16  components  +    

24  genes  with  biological  significance      

Classificacion Resultsaa

Time

Predicted Group Membership

Total

NR PreR R PostR

Original Count NR 14 0 0 0 14

PreR 0 49 0 0 49

R 0 2 36 1 39

PostR 0 0 0 14 14

Unclassified

cases 2 3 1 3 9

% NR 100 0 0 0 100

PreR 0 100 0 0 100

R 0 5,1 92,3 2,6 100

PostR 0 0 0 100 100

Unclassified

cases 22,2 33,3 11,1 33,3 100

a. 97,4% of original cases correctly classified

(68)

ER  Map    ER  Grade  

(69)

- There is a high number of genes, with a define pattern, involved in endometrial receptivity (WOI genes)

- There is a high number of WOI genes that are aberrantly expressed in stimulated cycles at the time of implantation (LH+7 in natural cycles and hCG+7 in COS cycles)

CONCLUSIONS

- Microarray technology and other “omics” techniques are good tool for analyzing gene expression profile of the endometrium at the time of

implantation to compare optimal versus non optimal conditions (infertility or subfertility)

(70)

Thank you for your attention

jose.horcajadas@gmail.com

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