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Fertility

Fertility is the ability to produce offspring.
It involves the biological processes that allow for successful reproduction, including the production of healthy gametes, fertilization, and embryo development.
Factors that influence fertility include age, hormonal balance, reproductive organ function, and overall health status.
Infertility, or the inability to conceive after a year of unprotected intercourse, can have various underlying causes that may be treatable through medical interventions.
Reseach into fertility treatments and optimization of reproductive protocols is an important area of study to help individuals and couples achieve their family-building goals.

Most cited protocols related to «Fertility»

1
Global Burden of Disease Estimates
Cited 73 times
We produced estimates from 1950 to 2019 for 204 countries and territories that were grouped into 21 regions and seven super-regions. For GBD 2019, nine countries and territories (Cook Islands, Monaco, San Marino, Nauru, Niue, Palau, Saint Kitts and Nevis, Tokelau, and Tuvalu) were added, such that the GBD location hierarchy now includes all WHO member states. GBD 2019 includes subnational analyses for Italy, Nigeria, Pakistan, the Philippines, and Poland, and 16 countries previously estimated at subnational levels (Brazil, China, Ethiopia, India, Indonesia, Iran, Japan, Kenya, Mexico, New Zealand, Norway, Russia, South Africa, Sweden, the UK, and the USA). All subnational analyses are at the first level of administrative organisation within each country except for New Zealand (by Māori ethnicity), Sweden (by Stockholm and non-Stockholm), the UK (by local government authorities), Kenya (by district and province), and the Philippines (by province). For the demographic analyses, we seek to make the most of rich demographic data, more readily available and robust at aggregate level, and increase the precision of estimates at the aggregate level by running the modelling process at both the most detailed level and at the aggregate level (whether national, subnational, or both national and subnational). In this publication, we present subnational estimates for Brazil, India, Indonesia, Japan, Kenya, Mexico, Sweden, the UK, and the USA; given space constraints, these results are presented in appendix 2.
Following previous GBD studies, mortality and population are estimated for 23 age groups: early neonatal (0–6 days), late neonatal (7–27 days), post-neonatal (28–365 days), 1–4 years, 5–9 years, every 5-year age group up to 95 years, and 95 years and older. Age-specific fertility is estimated for 5-year age groups between ages 10 years and 54 years.
Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. (2020). Lancet (London, England), 396(10258), 1160-1203.
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Publication 2020
Age Groups Ethnicity Fertility Infant, Newborn
2
Pregnancy Rates Without Contraception
Cited 63 times

Protocol full text hidden due to copyright restrictions

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Publication 2011
Coitus Contraceptive Agents Contraceptive Methods Fertility Population Group Pregnancy Woman
3
GBD Demographic Estimation Methodology
Cited 55 times
The GBD estimation strategy for fertility, mortality, and population is designed to work with the diversity of data sources and potential biases in data available for each of these demographic components and to use replicable statistical code for data synthesis. The analysis can be divided into seven main steps: age-specific fertility estimation, under-5 mortality estimation, adult mortality estimation, age-specific mortality estimation using a relational model life table system, HIV adjustments, accounting for fatal discontinuities such as wars or natural disasters, and population estimation. For each component, it is useful to think of the data available, the data processing steps required to account for known biases, and the data synthesis stage, which deals with the challenges of both missing measurements in given location-years and the common problem of different measurements disagreeing with each other.
For GBD 2019, we instituted the GBD standard location list, which consists of all national-level locations as well as subnational locations in the UK, India, China, and the USA. In each modelling step, effects of the covariates were derived from empirical data observed from standard locations. This ensured that our estimates were derived from robust relationships extrapolated from locations with more robust empirical data, thus ensuring long-term stability in our estimates.
Below, we provide a high-level description of each analytical component, with an emphasis on new steps and other updates for GBD 2019. Methods used in the GBD demographic estimation process have been described extensively in previous publications,14 (link), 15 (link), 16 , 17 (link), 18 (link) and additional detail on estimation for the 2019 cycle is available in appendix 1.
This study complies with GATHER;19 (link) a completed GATHER checklist is available in appendix 1. Analyses used Python version 3.6.2 and 3.6.8, Stata versions 13 and 15, and R versions 3.4.2 and 3.5.0.
Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019. (2020). Lancet (London, England), 396(10258), 1160-1203.
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Publication 2020
Adult Anabolism Biological Models Fertility Natural Disasters Python
4
Prospective Pregnancy Study Utilizing Online Recruitment and Data Collection
Cited 42 times
Enrollment and primary data collection are accomplished via the study website (http://presto.bu.edu) and email (bupresto@bu.edu). Potential female participants read an online consent form, complete a screening questionnaire, and provide a valid e-mail address that is subsequently confirmed. The confirmatory e-mail includes a link that directs women to a comprehensive online baseline questionnaire (median completion time: 32 minutes). Women are then encouraged to invite their male partner to complete an optional one-time baseline questionnaire (median completion time: 14 minutes). Ten days after enrollment, female participants are invited to complete the Dietary Health Questionnaire (DHQ) II,13 a web-based food frequency questionnaire developed and validated by the National Cancer Institute (median completion time: 40 minutes).
After completing the baseline questionnaire, women are randomized with 50% probability to receive a complimentary premium subscription to FertilityFriend.com (FF), a menstrual cycle charting and fertility information software program accessible via computer or smartphone. Existing FF users are not eligible for randomization. At every stage of the study (baseline, diet, and follow-up questionnaires), we can quantify the number of eligible participants who did not start their questionnaires or only filled out part of it. We can also compare demographic characteristics of ”partial responders” with ”responders” because demographic data were collected at the start of the baseline questionnaire. All data are protected using secure socket layering (SSL) encryption technology and are implemented by means of unique login names, passwords, and unique IP addresses of users’ computers. On a weekly basis, updated FF data are available to PRESTO investigators via download from a secure password-protected server.
Wise L.A., Rothman K.J., Mikkelsen E.M., Stanford J.B., Wesselink A.K., McKinnon C., Gruschow S.M., Horgan C.E., Wiley A.S., Hahn K.A., Sørensen H.T, & Hatch E.E. (2015). Design and conduct of an internet-based preconception cohort study in North America: Pregnancy Study Online (PRESTO). Paediatric and perinatal epidemiology, 29(4), 360-371.
Publication 2015
Diet Females Fertility Food Gomphosis Males Menstrual Cycle Woman
5
Drosophila Lifespan and Fecundity Assays
Cited 39 times
For life-span experiments, larvae were reared at standard density in 200-mL glass bottles containing 70 mL of 1.0 SY food (36 ). Flies emerged over 24 hours, were tipped into fresh bottles, and were allowed 48 hours to mate. Females were then separated from males under light CO2 anesthesia and randomly allocated to different food treatments at a density of 10 females per vial. Flies were transferred to fresh vials, and deaths were scored at least every 2 days. The yeast comparison experiment was performed in two batches, the first containing SYBaker’s, SYBrewer’s, and SYTorula, and the second containing SYBaker’s, SYBrewer’s, SYExtract, and CSYExtract. Due to the similarity between the two trials of SYBaker’s and SYBrewer’s (Supplementary Figure 1 and Supplementary Table 1), the data were combined. For each condition in each experiment, 100 flies were used.
For fecundity measurements, the same experimental flies as those used for life spans were kept in the same glass vials for between 18 and 24 hours; they were then transferred to fresh food. The eggs in the vacated vials were counted manually under a microscope. For the sugar concentration experiment, egg counts were performed on days 3, 7, 10, 14, and 21 of treatment. For the first yeast comparison experiment (SYBaker’s, SYBrewer’s, and SYTorula), eggs were counted on days 5, 9, 12, 16, 19, 23, 26, 30; for the second experiment (SYBaker’s, SYBrewer’s, SYExtract and CSYExtract), eggs were counted on days 4, 8, 11, 15, 18, 22, 25, and 29. Eggs were counted on days 3, 6, 10, 13, 17, 26, 31, and 38 for the water add-back experiment and on days 4, 11, 18, 25, 32, 46, and 60 for the agar concentration range experiment. As an index of lifetime fecundity, the sum of eggs laid during 24 hours on the days of counting by an average female was calculated. These sampling points cover the period of heaviest laying, and are therefore indicative of relative lifetime fecundity (6 ).
Bass T.M., Grandison R.C., Wong R., Martinez P., Partridge L, & Piper M.D. (2007). Optimization of Dietary Restriction Protocols in Drosophila. The journals of gerontology. Series A, Biological sciences and medical sciences, 62(10), 1071-1081.
Publication 2007
Agar Anesthesia Carbohydrates Diptera Eggs Females Fertility Food Larva Light Males Menorrhagia Microscopy Woman Yeast, Dried

Most recents protocols related to «Fertility»

1
Monitoring Bisphenol A Levels in Women
Not available on PMC !

Example 21

There is growing evidence that bisphenol A (BPA) may adversely affect humans. BPA is an endocrine disruptor that has been shown to be harmful in laboratory animal studies. As reported by Rochester J (Reproductive Toxicology, 2013) BPA has been shown to affect many endpoints of fertility, including poor ovarian response, viability of oocytes, and reduced yield of viable oocytes. BPA has also been correlated with PCOS, endometrial disorders, an increased rate of miscarriages, premature delivery, and lower birth weights.

Current methods of detecting BPA in blood are done through mass spectrometry. Monitoring of BPA levels in blood may help reduce or eliminate certain sources of BPA in a women's environment, aiding in overall health.

In some embodiments the disclosed device focuses on detecting levels of BPA toxin from menstrual blood or cervicovaginal fluid.

US11864740B2. Sample collection and preservation devices, systems and methods (2024-01-09). NextGen Jane, Inc. [US]. Inventors: Ridhi Tariyal [US], Stephen K. Gire [US].
Full text: Click here
Patent 2024
Animals, Laboratory bisphenol A BLOOD Endocrine Disruptors Endometrial Diseases Fertility Homo sapiens Mass Spectrometry Medical Devices Menstruation Miscarriage Oocytes Ovary Polycystic Ovary Syndrome Premature Birth Reproduction Toxic Substances, Environmental Toxins, Biological
2
Detailed Phenotypic Characteristics of Brassica Variety 18GG0453L
Not available on PMC !

Example 1

Variety 18GG0453L has shown uniformity and stability for all traits, as described in the following variety description information. The variety has been increased with continued observation for uniformity.

Table 1 provides data on morphological, agronomic, and quality traits for 18GG0453L. When preparing the detailed phenotypic information, plants of the new 18GG0453L variety were observed while being grown using conventional agronomic practices.

TABLE 1
Variety Descriptions based on Morphological,
Agronomic and Quality Trait
CHARACTERSTATE (Score)
Yield (bu/ac)32.94
SEED
Erucic acid content (%)0.01
Glucosinolate content11.37
Seed coat colorBlack (1)
SEEDLING
cotyledon widthWide (7)
seedling growth habitMedium to Upright (6)
Stem anthocyanin intensityAbsent (1)
LEAF
leaf lobesStrong Lobing (7)
number of leaf lobes4
leaf margin indentationMedium (5)
leaf margin shapeSharp (3)
leaf widthMedium (5)
leaf lengthMedium to Long (6)
petiole lengthMedium to Long (6)
PLANT GROWTH AND FLOWER
Time to flowering50.8
(number of days from planting
to 50% of plants showing one
or more open flowers)
Plant height at maturity (cm)125.8
Flower bud locationTouching to Slight Overlap (6)
Petal colorMedium Yellow (3)
Anther fertilityShedding Pollen (9)
Petal spacingTouching to Slight Overlap (6)
PODS AND MATURITY
Pod type
Pod lengthLong (7)
Pod widthMedium (5)
Pod angleHorizontal to Semi-Erect (3)
Pod beak lengthLong (7)
Pedicle lengthLong (7)
Lodging resistanceFair to Good
Time to maturity (no. days97.6
from planting to physiological
maturity)
HERBICIDE TOLERANCE
GlufonsinateTolerant
GlyphosateSusceptible
ImidazolinoneSusceptible
QUALITY CHARACTERISTICS
Oil content % (whole dry seed48.89
basis)
Protein content (percentage,47.24
whole oil-free dry seed basis)
Total saturated fats content6.35
Glucosinolates (μm total11.37
glucosinolates/gram whole
seed, 8.5% moisture basis)
Seed Chlorophyll2% higher than the WCC/RRC checks
Shatter Score (1 = poor;5.5
9 = best)
Acid Detergent Fibre (%)19.24
Total Saturated Fat (%)6.35
Oleic Acid - 18:1 (%)63.1
Linolenic Acid - 18:3 (%)8.89
Sclerotinia tolerance (% of40.16
susceptible check)
Blackleg (% of Westar)29.76

US11856905B2. Canola hybrid 18GG0453L (2024-01-02). PIONEER HI-BRED INTERNATIONAL, INC. [US]. Inventors: Ushan Alahakoon [CA], Igor Falak [CA], Daryoush Fekri [CA], Chadwick Bruce Koscielny [CA], Scott McClinchey [CA], Daniel Joseph Stanton [US].
Full text: Click here
Patent 2024
Acids Anthocyanins Beak Character Chlorophyll Cotyledon Detergents erucic acid Fertility Fibrosis Glucosinolates glyphosate Herbicides Immune Tolerance Linolenic Acid Oleic Acid Phenotype physiology Plant Leaves Plants Pollen Proteins Saturated Fatty Acid Sclerotinia Stem, Plant Tracheophyta
3
Hormonal Assessment for Fertility and Menopause
Not available on PMC !

Example 20

Fertility—Progesterone is one of the most important hormones for pregnancy with myriad functions from ensuring implantation of the egg into a healthy uterine wall, to ensuring embryo survival and prevention of immune rejection of the developing baby. Many other hormones act in concert with progesterone, like Follicular Stimulating Hormone (FSH) and Luteinizing Hormone (LH) and can be used to assess optimal fertility windows on a monthly basis. And in fact an over dominant production of estrogen can lead to progesterone deficiency and thus difficulty getting or staying pregnant. It is important that women not only monitor FSH and LH to determine optimal fertility for getting pregnant, but ensure that sufficient levels or progesterone are being produced to ensure pregnancy and viability of the fetus. A study from the British Medical Journal, 2012, demonstrated that a single progesterone level test can help discriminate between viable and nonviable pregnancies. Among women who had an ultrasound, 73 percent had nonviable pregnancies. But among women with progesterone levels below 3 to 6 nanograms per milliliter, the probability of a nonviable pregnancy rose to more than 99 percent (Gallos L et al. British Medical J, 2012).

Perimenopause—Monitoring hormone levels during the menopausal transition may help women better understand important changes in their body and allow them to make more informed decisions about health, diet, and lifestyle. According to Hale G E (Best Pract Res Clin Obstet Gynaecol, 2009), data from endocrine studies on women throughout the menopausal transition show changes in levels of steroid hormones and gonadotropins (Progesterone, Estrodiol, LH, FSH and AMH) and follicle-stimulating hormone undergoes the first detectable change while menstrual cycles remain regular. Erratic and less predictable changes in steroid hormones follow, especially with the onset of irregular cycles. Later serum hormone studies on the inhibins and anti-Mullerian hormone established that diminishing ovarian follicle number contributes to the endocrine changes with advancing reproductive age.

Many fertility issues revolve around genetic, anatomical or other disorders that may either prevent a woman from becoming pregnant and/or staying pregnant. Some of these disorders include hormonal imbalances, diabetes, a short or insufficient cervix, and acute or chronic infections. A cascade of genes has been implicated in the occurrence of getting and staying pregnant. These genes have been studied using genotyping, gene expression, and proteomic analysis to assess a woman's ability to stay pregnant.

In some embodiments the disclosed device focuses on detecting levels of Progesterone, LH, FSH, Estrodiol, AMH, genotyping, gene expression through RNA and methylome sequencing, qPCR and proteomic analysis for fertility and menopause management from menstrual blood or cervicovaginal fluid.

US11864740B2. Sample collection and preservation devices, systems and methods (2024-01-09). NextGen Jane, Inc. [US]. Inventors: Ridhi Tariyal [US], Stephen K. Gire [US].
Full text: Click here
Patent 2024
BLOOD Cervix Uteri Chronic Infection Diabetes Mellitus Diet Embryo Endocrine System Diseases Epigenome Estrogens Fertility Fetal Viability Follicle-stimulating hormone Gene Expression Genes Genes, vif Gonadotropins Hormones Human Body Human Follicle Stimulating Hormone Infant Inhibin Luteinizing hormone Medical Devices Menopause Menstrual Cycle Menstruation Mullerian-Inhibiting Hormone Ovarian Follicle Ovum Implantation Perimenopause Pregnancy Progesterone Reproduction Steroids System, Endocrine Transcription, Genetic Ultrasonography Uterus Woman
4
Olive Grove Drought Stress Experiment

Protocol full text hidden due to copyright restrictions

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Publication 2023
Agricultural Crops Clay Climate Droughts Fertility Insecticides Mothers Olea Olea europaea phosphoric anhydride Trees
5
Endometrial Tissue in Recurrent Pregnancy Loss
The use of endometrial tissue in the research received clearance from the ethics committee of Renmin Hospital, Wuhan University. A total of 16 women diagnosed with uRPL and 12 normal fertile women were recruited. The inclusion and exclusion criteria refer to previously published literature (Comba et al., 2015 (link); Benner et al., 2022 (link)). Briefly, uRPL was defined as two or more fetal losses before 24 weeks of gestation without known causes of miscarriages. The control group was made up of normal fertile women with regular periods who had had at least one live birth and no spontaneous miscarriages in the past. The exclusion criteria were the use of immunosuppressive drugs, steroid hormones, antibiotics, diabetes mellitus and smoking. Endometrial biopsies were obtained from women who attended the reproductive center of Renmin Hospital of Wuhan University and received a endometrial biopsy on day 21 or day 22 of menstrual cycle which were identified as mid-secretory phase by pathological examination. In order to isolate primary HDSCs, first-trimester decidual specimens (between the 7th and 12th weeks of gestation) were collected from healthy women who were having an elective abortion as part of the CARE Program at the BC Women’s Hospital and Health Centre. The research was authorized by the University of British Columbia’s Research Ethics Board. All participants in this study were between 20 and 40 years of age and provided written informed consent.
Luo J., Wang Y., Chang H.M., Zhu H., Yang J, & Leung P.C. (2023). ID3 mediates BMP2-induced downregulation of ICAM1 expression in human endometiral stromal cells and decidual cells. Frontiers in Cell and Developmental Biology, 11, 1090593.
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Publication 2023
Antibiotics, Antitubercular Biopsy Care, Prenatal Decidua Diabetes Mellitus Endometrium Ethics Committees, Clinical Fertility Hormones Immunosuppressive Agents Incomplete Abortions Luteal Phase Menstrual Cycle Miscarriage Pharmaceutical Preparations Pregnancy Reproduction Steroids Tissues Woman

Top products related to «Fertility»

1
Sas 9 by SAS Institute
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2
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3
Human chorionic gonadotropin (hcg) by Merck Group
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The HCG (Human Chorionic Gonadotropin) is a laboratory equipment product by Merck Group. It is a hormone typically used in various diagnostic and research applications. The core function of HCG is to detect and measure the levels of this hormone in biological samples.
4
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6
C57bl 6 mice by Jackson ImmunoResearch
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TRIzol reagent is a monophasic solution of phenol, guanidine isothiocyanate, and other proprietary components designed for the isolation of total RNA, DNA, and proteins from a variety of biological samples. The reagent maintains the integrity of the RNA while disrupting cells and dissolving cell components.
10
Sas version 9 by SAS Institute
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More about "Fertility"

Fertility is the ability to produce offspring, involving the biological processes that enable successful reproduction.
This includes the production of healthy gametes, fertilization, and embryo development.
Factors like age, hormonal balance, reproductive organ function, and overall health status can influence fertility.
Infertility, the inability to conceive after a year of unprotected intercourse, can have various underlying causes that may be treatable through medical interventions.
Researching fertility treatments and optimizing reproductive protocols is crucial to help individuals and couples achieve their family-building goals.
Synonyms and related terms for fertility include fecundity, reproductive capacity, and procreative potential.
Abbreviations like IVF (in vitro fertilization) and ART (assisted reproductive technology) are commonly used in the field.
Key subtopics include gamete production, hormonal regulation, fertilization, embryo development, and infertility causes and treatments.
Tools like SAS 9.4, GraphPad Prism 5, Prism 6, Prism 7, and Prism 8 can be used for statistical analysis and data visualization in fertility research.
HCG (human chorionic gonadotropin) is a hormone important in fertility and pregnancy.
C57BL/6 and C57BL/6J mice are commonly used animal models in fertility studies.
TRIzol reagent is a popular method for RNA extraction in reproductive biology research.
PubCompare.ai revolutionizes fertility research by using AI-driven protocol optimization.
It helps researchers locate the best protocols from literature, pre-prints, and patents, and leverages AI-powered comparisons to identify the most effective treatments and products.
This cutting-edge technology streamlines fertility research, empowering scientists to make informed decisions and advance the field.