Measuring the Timing of Ovulation & Implantation: Old Ways & New Medgar Evers College April 5, 2006 Kenneth L. Campbell Professor of Biology; Associate Dean of Science & Mathematics University of Massachusetts at Boston
This presentation is made possible by a grant entitled “Shortcourses in Endocrinology at Minority Undergraduate Institutions” from the National Institute of General Medical Sciences (NIGMS) to The Minority Affairs Committee of the Endocrine Society
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Plasma Inhibin europe.obgyn.net/nederland/mp/overgang/images/overgang14x.gif Urinary forms not yet found.
Monitoring Ovarian Function and Predicting Ovulation Family Health International, Research Triangle Park, NC 12 - 15 Nov. 1984, K. Campbell & W. Collins, Co - Chairs Campbell, KL (1985) Monitoring ovarian function and predicting ovulation: summary of a meeting, Research Frontiers in Fertility Regulation 3 :1-16 . Peak Predictors of ovulation & the fertile period have not changed much in 20 years. LH, estradiol, progesterone, & steroid effects remain key indices.
Classical markers especially in combinations are useful delineators of the fertile period.
Fertility Disorders and the Billings Ovulation Method P. Vigil, Faculty of Biological Sciences Pontifical Catholic University of Chile reproduced at http://www.woomb.org/omrrca/vigil/ fertilityDisorders.htm Progesterone dominant Estradiol dominant Cervical mucus & basal body temperature, well-tested biomarkers, are mainstays of the Billings method of fertility monitoring.
Human & animal genome projects
DNA & protein databases & computerized search techniques
Animal cloning & associated techniques
Molecular monitoring of development
DNA biotechnology; PCR, microarray
Mass spectrometry: MALDI-TOF, MS/MS; coupling to HPLC
High throughput immunoassay, fluorescence & luminescence detection; sensitivity at or below attomolar levels (down to single molecules)
Advances with Potential Impact on Biomarker Use Since 1984
Wilcox, Weinberg, Baird, Dunson, et al. refined algorithms for using E 1 G/PdG ratios as indices for ovulation, the fertile period, establishment of pregnancy, & continuation of pregnancy.
Early pregnancy factor (EPF, heat shock protein 10, HSPE1) cloned & characterized: = extracellular chaperonin 10 , a 3.1 kb gene at locus 2q33.1, encodes a 10.8 kD, protein of 101 amino acids with no signal sequence; involved in mitochondrial protein folding; produced by the ovary & platelets within 24 h of fertilization.
Portable miniaturized ultrasound units , e.g. , Renco Pregtone II, are now available.
Devices to monitor direct & indirect hormonal effects on cervical mucus, salivary ferning, & salivary, vaginal, & cervical electrolytes
Software to track calendars, cervical mucus, BBT, & urinary or salivary hormones
hCG field test improvements Holman et al. (1998) A commercial pregnancy test modified for field studies of fetal loss, Clinica Chimica Acta 271(1) :25-44 .
Molecular screens now identifying genes specifically expressed during placentation & early embryogenesis.
Biomarker Progress Since 1984 (cont.)
Clearblue (ClearPlan) Easy Fertility Monitor, Unipath Limited Logitudinal sampling & integration of LH & urinary estrogen signals The product comprises a number of test sticks and a hand held Fertility Monitor, and monitors the levels of luteinising hormone (LH) and the estrogen metabolite, estrone-3 glucuronide (E3G), in urine. From the start of the menstrual cycle, the user performs a daily test stick reading over 10 or 20 consecutive days, according to the length of the cycle and the timing of the LH surge. From these readings, the monitor will display the fertility status over the course of the cycle – low, high or peak – signalling when successful conception is most likely to occur. The Clearblue Easy Fertility Monitor is proven to be 99% accurate in detecting LH surges in laboratory tests.
Male fertility tests
The Fertility Monitor is a series of interrelated computer programs which assist you in using the Sympto-Thermal Method while Ovusoft Fertility Software is an software package to do the same. BBT & Cervical Mucus: http://www.tcoyf.com/products/ prefs5.asp Calendars: http://kidsdirect.net/BD/tools/ You provide Babycomp with the information it requires by means of simple input and regular BBT measurements which are highly accurate to within 1/100th of a degree. By analyzing this information Babycomp is able to detect ovulation, and calculate in advance when your best opportunity for conceiving is. Cycle tracking software & online calculators Are women willing to share existing information with this project?
Ovuscope Fertility Tracker® Saliva Fertility Monitor The salt or electrolyte crystals that are present in dried female saliva rise significantly prior to or during a normal ovulation period to form miniature patterns which resemble fern leaves. During your fertile period, a sample of your saliva, when placed in … [a] viewing scope, will present this unique pattern. Fertile-Focus Salivary ferning: indirect estrogen biomarker
Zetek OvaCue® Fertility Monitor (Salivary Electrolytes) Why salivary electrolyte readings are better than urine LH A few days after the Cue Peak, the luteinizing hormone (LH) in the blood increases and decreases very sharply over a period of 24 hours (the LH peak). LH is the hormone that triggers the release of the ovum from the ovary. The egg is released within 24 hours after the LH is at its highest in the blood. Some time (as much as 12 hours) after the peak of LH in the blood, LH is also present in the urine. It is this increasing concentration of urine LH that can be detected by the different brands of urine-based ovulation predictors. Prediction using this method depends on the exact relationships between the time of the highest blood LH, the time the urine stick begins to see the LH, and the time of the measurement. At best, the time between the urine signal and actual ovulation cannot be more than 24 hours in advance. At worst, it is seen only after ovulation has already occurred, offering no chance of conception for the current cycle. At the same time [as estradiol is rising], other hormones are changing the amounts of ... (electrolytes) that are kept or discarded by the body. This is what produces the Cue Peak, a high point in the salivary readings of electrolytes.
hCG field test improvements: increasing sample volumes & reaction times & use of a reflectance reader greatly improved assay sensitivity Holman et al. (1998) A commercial pregnancy test modified for field studies of fetal loss, Clinica Chimica Acta 271(1) :25-44 .
63, 107 Predicting Miscarriage Serum Macrophage inhibitory cytokine -1 59 Fetal Defects; Preeclampsia Serum Inhibin A 60, 61, 62 Fetal Defects Serum IGFBP- 4 protease 98 Placental Function Serum Human placental lactogen 56 Pregnancy Maintenance Urine hCG glycoform ratio 55 Pregnancy Maintenance Urine hCG level 57 Fetal Defects Serum Alpha-Fetoprotein Reference Biomarker for: Biospecimen Biomarker Current Biomarkers of Pregnancy Maintenance and Fetal Defects
Thomas W. Sadler 2004 Langman's Medical Embryology, 9 th Ed., Williams & Wilkins Nobel Prize in Physiology or Medicine 1995: Edward Lewis, Christiane Nüsslein-Volhard & Eric Wieschaus; work on “genetic control of early embryonic development” >700 genes in the mouse associated with nidation & early embryogene-sis; 895 genes expressed in human embryonic stem & carcinoma cells (Sperger et al. 2003, PNAS 100 :13350). HoxD2 HoxD4
Prenat Diagn 2003; 23 : 410–419. Published online in Wiley InterScience (www.interscience.wiley.com). Identification of expressed sequence tags preferentially expressed in human placentas by in silico subtraction David Miner and Aleksandar Rajkovic* Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, Texas, USA Conclusion In silico subtraction identified 44 previously studied genes involved in placental physiology as well as 63 EST clusters preferentially expressed in placental tissue, which may serve as targets for future studies seeking novel markers for prenatal diagnosis or to better understand placental genetics. Should be extended to all early embryonic tissues. Microarray analyses are already providing data.
At least 45 of these proteins are soluble, extracellular, & potential biomarkers. Microarray analyses are already providing data. Microarray analysis of trophoblast differentiation: gene expression reprogram-ming in key gene function categories. Bruce J. Aronow, Brian D. Richardson, & Stuart Handwerger. Departments of Endocrinology and Molecular and Developmental Biology, Children’s Hospital Research Foundation and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio 45229-2029. Physiol Genomics 6: 105–116, 2001. … DNA microarray analysis to characterize the process by which human cytotrophoblast cells differentiate into syncytiotrophoblast cells in a purified cell culture system. Of 6,918 genes analyzed, 141 genes were induced and 256 were downregulated by more than 2-fold. Dynamically regulated genes were divided by the K-means algorithm into 9 kinetic pattern groups, then by biologic classification into 6 overall functional categories: cell and tissue structural dynamics, cell cycle and apoptosis, intercellular communication, metabolism, regulation of gene expression, and expressed sequence tag (EST) and function unknown. Gene expression changes within key functional categories were tightly coupled to morphological changes. In several key gene function categories, such as cell and tissue structure, many gene members of the category were strongly activated while others were strongly repressed. These findings suggest that differentiation is augmented by “categorical reprogramming” in which the function of induced genes is enhanced by preventing the further synthesis of categorically related gene products.
* Targets used in current commercially available ER tests (service only) 87 Serum Placenta protein 14 72 Endometrium P27 86 Endometrium Muc1 85 Endometrium Mucin-like glycoprotein * 84 Endometrium Leukaemia Inhibitory Factor 83 Uterine flushings Interleukin 1 81 Endometrium Integrin beta 3 * 82 PBLs Integrin alpha 6 81 Endometrium Integrin alpha 4 80 Endometrium Integrin alpha v beta 3 79 Endometrium Insulin-like growth factor binding protein 1 77, 78 Endometrium HoxA-10 and -11 76 Endometrium Heparin binding-epidermal growth factor 74, 75 Endometrium, Serum Glycodelin-A 73 Endometrium, Serum Endometrial bleeding-associated factor 72 Endometrium Cyclin E 71 Serum Colony Stimulating Factor 70 Serum CA-125 Reference Biospecimen Biomarker Some Biomarkers of Actual & Potential Application in Assessing Endometrial Receptivity
† All listed biomarkers present in endometrium; however, because of the invasiveness of obtaining endometrial samples, this biospecimen only listed in cases where there is no PubMed report of the biomarker being analyzed in more accessible biospecimens in the context of implantation/ pregnancy studies. * Targets used currently in assessing fertilization/implantation 63 Serum, Urine Pregnancy specific beta1 glycoprotein 1 48 Endometrium Osteopontin 96, 97 Serum MUC-1 94, 95 Serum, Urine, Vaginal discharge IGFBP-1 89-93 Cervicovaginal secretions, Serum IL-1β 88 Serum IGF-II 63 Endometrium IGF-binding serine protease 11 59 Serum Inhibin A level; Inhibin A/B ratio* 55 Serum, Urine HCG* 48 Serum Glycodelin A 43 Cervical mucus, Serum Early Pregnancy Factor* 48 Endometrium Dickkopf protein 48 Serum Apolipoprotein D Reference Biospecimen(s) † Biomarker Biomarkers of Actual & Potential Application in Assessing Fertilization or Implantation
New versions of old methods: DNA methods applied to urine sediments; cornification is an apoptotic process Other Prospects? New Possibilities?
Hormones, cornification/apoptosis, Y-Chromosomal DNA, microbial DNA PCR & Real Time PCR Adequate insemination? What do sperm washout profiles look like? What types of sperm are lost or washed out first? Is quantitative probing of peri-ovular, peri-implantation microbial environment possible?
MALDI-TOF or HPLC-MS/MS examination of urines or sera from women with & without known gestation or gestational loss (improved with prior 2-D gel electrophoresis)
Differential microchip screening of proteins from urines or sera from women with known gestation or gestational loss.
Gestation -- : Proteins>2D gels> Abs
Gestation + or Gestation Loss +: Proteins> remove common proteins with Abs >2D gels of remaining unique proteins> unique Abs
Microchips with Abs or Abs > evaluate sera or urines showing common or unique proteins
HPLC or GC-MS/MS or MALDI-TOF for small molecule profiles in similar studies
Ways to identify new biomarkers
The processes of interest are occult. We have reasonably good, well- tested methods to monitor many key events & some new devices to do so. New approaches to old methods & use of new genomic data indicate more markers do exist. Development & use of such markers would open important additional windows on the events central to predicting & understanding ovulation, fertilization, implantation, & failure of implantation. Conclusions
d 95% confidence intervals of the estimated median c median b Recomputed from listed sources by adjusting for relative average time of ovulation after the serum LH peak and by subtraction of any constants added in the original sources. a Modified from Table 1 of reference 7. Abbreviations: E 1 G = estrone-3-glucuronide; PdG = pregnanediol-3α-glucuronide; E 2 = estradiol; LH = luteinizing hormone; P = progesterone; BBT = basal body temperature. 99 --- --- --- 1.5 Rise of salivary P 26 7 -2 2 1.1 Rise of BBT 26 --- --- 3 0.2 Rise of urinary PdG 29 0 -1.3 0.3 d -0.3 c Rise of serum P 24 5 -10 2.2 -0.4 Peak of fertile mucus 29 -0.3 -1.9 0.2 d -0.7 c Peak of serum LH 29 0 -2 0.3 d -1.0 c Peak of serum E 2 29 -1 -2.3 0.3 d -1.3 c Rise of serum LH 24 4 -9 1.9 -1.3 Peak of urinary E 1 G 99 --- --- --- -1.5 Peak of salivary E 2 101 -1.5 -4.5 1 -2 Peak volume of mucus 24 0 -10 2.3 -2.5 Peak of E 1 G/PdG 100 --- --- 0.5 -2.7 Follicle size 15 ± 2 mm 36 -2 -7 0.9 d -3.4 c Rise of serum E 2 99 --- --- --- -5 Rise of salivary E 2 24 -1 -12 2.6 -5.1 First day of fertile mucus 24 -2 -11 1.9 -5.6 Rise of urinary E 1 G 24 -2 -15 2.8 -7.2 Rise of E 1 G/PdG 24 -3 -13 2.5 -7.3 First day of mucus Max Min (days) Reference Range SD Mean b Endpoint Chronology of Endpoints Predictive of Limits of Fertile Period & Timing of Ovulation in Days Relative to Ovulation (= Serum LH Peak + 0.7 Days) a
hCG patterns, IGFBP-I
E 2 , P, LH, FSH, PdG/E 1 G Ratios
Markers identified in vitro or via genetic experiments & protein expression microarray studies in the 1 st week of gestation : WNT genes, LIF, interferons, ...
Classical neural defect markers: PPAP-A, α -FP, urinary E 3
Direct Biomarkers of Ovulation, Fertilization, Implantation, Early Embrogenesis & Pregnancy Loss
Endometrium : Indian Hedgehog & its signalling path, protease inhibitors, matrix proteins, cytokines, growth factors, IL-1
N. Takamoto et al. (2002) Identification of Indian Hedgehog as a Progesterone-Responsive Gene in the Murine Uterus, Molecular Endocrinology 16(10) :2338–2348.
Vaginal electrical properties The electrolyte shifts have also been exploited in the cervical/vaginal environment. BioSense
Fertilité-OV Wednesday, September 25, 2002 FDA Approves Pheromone Sciences' PSC Fertility Monitor The PSC Fertility Monitor is a watch like fertility cycle monitoring device for the consumer and professional medical market. The PSC Fertility Monitor looks to set a new benchmark in providing a reliable "predictive" approach to natural, cycle-based family planning through the measurement of perspiration ion changes on the surface of the skin. These changes in female perspiration allow for the prediction of ovulation up to 4 days prior to the day of ovulation without the need for inconvenient urine or blood testing. [A] trial, … of 105 subjects, reported results showing ... 73% of the ovulatory women had their ovulation date correctly predicted to ... +/-2 days of the ovulation date determined by blood serum levels. [The] results are consistent with those … reported (76%) [in] a pilot study ... at Toronto General Hospital ... In the Toronto trial, the average deviation reported for the PSC Fertility Monitor was +/- 1.38 days between the actual date of ovulation and the predicted ovulation date. In the USA trial, the average deviation reported for the PSC Fertility Monitor was +/- 1.48 days between the actual date of ovulation and the predicted ovulation date.
Begin by sampling for existing markers: LH, FSH, E 2 , P, E 1 G, PdG, hCG, IGFBP-1, α-FP, PPAP-A, uE 3 , inhibin A, inhibin B
Keep a reserve of samples for retrospective evaluation of urine sediment DNA & not - yet - identified soluble markers in urine or serum
Begin a significant program of research to uncover new biomarkers using updated methods and database sources