Keywords
Unexplained infertility, Serum homocysteine levels, Ovulation patterns, Rural healthcare setup, Demographic characteristics, Correlation analysis, Therapeutic interventions
This article is included in the Datta Meghe Institute of Higher Education and Research collection.
This cross-sectional study aims to investigate the serum homocysteine levels in women diagnosed with unexplained infertility at a rural hospital setup and its correlation with ovulation patterns. Unexplained infertility is a challenging clinical entity, with a limited understanding of its underlying mechanisms in resource-constrained healthcare settings. The study will include women between 21 and 45 years of age, diagnosed with unexplained infertility, who have not received any prior fertility treatments. Data will be collected through blood samples to measure serum homocysteine levels, and ovulation assessments using hormonal analysis and ultrasound monitoring of the menstrual cycle. Descriptive statistics will summarize participants’ characteristics, while comparison tests will be employed to assess the association between serum homocysteine levels and unexplained infertility. Correlation analysis will explore the relationship between serum homocysteine levels and ovulation parameters. Furthermore, multiple regression analysis will identify independent associations between serum homocysteine levels and ovulation, controlling for potential confounding variables. This study aims to provide valuable insights into the role of serum homocysteine in unexplained infertility and its potential impact on ovulation patterns in women in a rural healthcare setup. The findings may contribute to understanding the pathophysiology of unexplained infertilities and pave the way for targeted therapeutic interventions. Ethical considerations will ensure participant privacy, and all data will be managed with the utmost confidentiality. The study’s results will be reported transparently, adhering to ethical guidelines, to offer evidence-based guidance for managing unexplained infertility in rural healthcare settings.
Unexplained infertility, Serum homocysteine levels, Ovulation patterns, Rural healthcare setup, Demographic characteristics, Correlation analysis, Therapeutic interventions
Infertility is a distressing global health issue that affects millions of couples, causing significant emotional, psychological, and social burdens. While advancements in reproductive medicine have improved the diagnosis and treatment of specific infertility causes, a substantial portion of cases remain unexplained despite comprehensive investigations. Unexplained infertility is a challenging clinical entity characterized by the absence of identifiable factors that could explain the failure to conceive.1–3
Recent research has suggested that unexplained infertility may be attributed to subtle and complex dysregulations in various biological pathways, including hormonal imbalances, oxidative stress, and inflammation.4,5 One emerging area of interest in investigating unexplained infertility is the role of serum homocysteine levels. Homocysteine, a non-protein amino acid, is a central player in the one-carbon metabolism pathway and is involved in DNA methylation, the synthesis of purines and pyrimidines, and the generation of glutathione. Elevated homocysteine levels have been associated with adverse reproductive outcomes been implicated in vascular dysfunction, oxidative stress, and endocrine disturbances.6
Despite the growing body of evidence suggesting a potential link between serum homocysteine levels and infertility, particularly in unexplained cases, research on this topic still needs to be improved, especially in resource-constrained rural healthcare setups. Understanding the relationship between serum homocysteine levels and ovulation in women with unexplained infertility in such settings could have important clinical implications.7,8
This study protocol aims to address this knowledge gap by conducting a prospective observational study to assess serum homocysteine levels in women diagnosed with unexplained infertility at a rural hospital setup. Additionally, the study seeks to investigate the potential correlation between serum homocysteine levels and ovulation in these women. By elucidating the potential role of homocysteine in unexplained infertility and its association with ovulation patterns, the findings of this study may contribute valuable insights into the pathophysiology of unexplained infertility and open avenues for targeted therapeutic interventions. Moreover, the study’s focus on a rural healthcare setup enhances its significance, as it addresses the specific needs and challenges faced by underserved populations in accessing infertility care.
The aim of this study is to investigate the association between serum homocysteine levels and ovulation patterns in women diagnosed with unexplained infertility at a rural hospital setup.
1. To assess the level of serum homocysteine in infertile women seeking the advanced fertility treatment at rural hospital.
2. To correlate different serum values of homocysteine with ovulation pattern in infertile group women.
3. To assess the level of serum homocysteine level in fertile women of similar demographic characteristics attending rural hospital for any other indications and willing to participate in the study.
4. To compare the value of serum homocysteine in both fertile and infertile group women.
The study will employ a cross sectional study to investigate the serum homocysteine levels in women with unexplained infertility at an Acharya Vinoba Bhave Rural Hospital setup 2023-2024 of period and its correlation with ovulation.
The study population will consist of women between the ages of 21 and 45 years who have been diagnosed with unexplained infertility. These women will be recruited from the patient population attending a rural hospital or clinics that serve as a primary healthcare center for the surrounding rural community.
The current research will be carried out at the Department of Obstetrics and Gynecology within the rural hospital setup of Datta Meghe Institute of Higher Education and Research (DMIHER).
1. Women aged between 21 and 45 years.
2. A documented diagnosis of unexplained infertility, defined as the absence of identifiable causes of infertility after thorough investigations, including normal semen analysis in their male partners.
3. Women who have not undergone any fertility treatments before enrolment in the study.
1. Women with known causes of infertility, such as tubal factor infertility, male factor infertility, endocrine disorders (e.g., polycystic ovary syndrome), and other reproductive abnormalities.
2. Women with a history of recurrent pregnancy loss.
3. Women with significant medical conditions that may affect fertility, such as thyroid disorders, diabetes, or autoimmune diseases.
4. Women with a history of hormonal treatments or medications that could influence ovulation or homocysteine levels.
The potential for selection bias exists due to the recruitment of participants from a single rural hospital setup, possibly limiting the broader applicability of the study’s findings. To address this concern, proactive measures will be taken to enhance the diversity and representation of the study sample. These efforts will include reaching out to multiple healthcare centres and collaborating with different geographic regions to ensure a more comprehensive inclusion of women with unexplained infertility. By expanding the participant recruitment process beyond the confines of a single hospital, we aim to mitigate the impact of potential selection bias on the validity and generalizability of the study’s outcomes.
Participants meeting the specified inclusion criteria will be selected for the study. On Day two of the menstrual cycle, hormonal assessments will be conducted for the infertile group, and ovulation will be monitored through follicular scans until Day 20 of the cycle. Serum estradiol and serum LH levels will be measured when the follicular size reaches or exceeds 18mm. Ovulation signs will be assessed using transvaginal sonography, looking for the disappearance of the dominant follicle and/or the presence of free fluid in the paraovarian fossa (pouch of Douglas).
Physical and obstetrical examinations, along with laboratory findings, will be recorded. Various investigations, including complete blood count, liver profile test, kidney function test, and thyroid profile, will be conducted.
Fasting blood samples, essential for the investigation, will be meticulously collected in accordance with standardized protocols. To ensure comprehensive reproducibility, we provide a detailed outline of the data collection procedures.
1. Biological sample collection: Fasting blood samples of 2 milliliters will be collected from the arms and drawn into plain Vacutainer tubes, ensuring the precise preservation of sample integrity. This vital procedure will be carried out by proficient healthcare professionals to maintain uniformity. Subsequently, the samples will be promptly conveyed to the laboratory within a 30-minute timeframe, thereby minimizing the risk of any potential degradation.
2. Biological sample storage: The storage of biological samples will adhere to established guidelines to safeguard the quality of the samples. Collected blood samples will be immediately centrifuged to obtain plasma, which will then be aliquoted and stored at the recommended temperature and conditions. Detailed records of the storage process will be meticulously maintained, ensuring the traceability and reliability of the stored samples.
3. Laboratory analysis: For the quantification of maternal serum homocysteine levels, we will employ the Enzyme-Linked Immunosorbent Assay (ELISA) method. This well-established technique9 guarantees accurate and consistent results. The laboratory analyses will be executed by skilled technicians with expertise in ELISA methodology, further enhancing the precision and reliability of the data obtained.
4. Ovulation pattern assessment: The study of ovulation patterns in infertile women will encompass two integral aspects: transvaginal ultrasound and endocrinal assessments. Transvaginal ultrasound will allow for detailed monitoring of follicular development and ovulation, providing essential insights into the participants’ reproductive cycles. Simultaneously, endocrinal assessments will involve meticulous hormonal analysis, including serum progesterone levels, to comprehensively characterize the participants’ ovulation patterns.
Formula using mean difference are:
Primary Variable = Serum homocysteine level
(Mean ± SD) serum homocysteine level in fertile group = 13.46 ± 5.05 (As per reference article10).
(Mean± SD) serum homocysteine level in infertile group = 9.87 ± 4.84
The statistical methods employed in this research study on “Serum Homocysteine Levels in Women with Unexplained Infertility at Rural Hospital Setup and Its Correlation with Ovulation” will be crucial in analyzing the data and drawing meaningful conclusions in R studio version 2023.03.0-daily+82.pro2 statistical software. The following statistical methods will be used:
1. Descriptive statistics: Descriptive statistics will be used to summarize and present the characteristics of the study population, including mean, standard deviation, median, and interquartile range for continuous variables, and frequencies and percentages for categorical variables. This will provide an overview of the participants’ demographic and clinical characteristics.
2. Comparison of serum homocysteine levels: To assess the association between serum homocysteine levels and unexplained infertility, a comparison will be made between women with unexplained infertility and those without infertility within the study population. Depending on the distribution of the data, either parametric (t-tests) or non-parametric (Mann-Whitney U tests) tests will be used for continuous variables. For categorical variables, chi-square or Fisher’s exact tests will be employed.
3. Correlation analysis: Correlation analysis will be performed to examine the relationship between serum homocysteine levels and ovulation parameters (e.g., serum progesterone levels, menstrual cycle regularity). This will involve calculating correlation coefficients, such as Pearson correlation for continuous variables with a linear relationship, or Spearman’s rank correlation for non-linear associations.
The Institutional Ethics Committee of Datta Meghe Institute of Higher Education and Research (DU) has granted its approval to the study protocol (Reference number: DMIHER (DU)/IEC/2022/119. Date:21-07-2022). Prior to commencing the study, we will obtain written informed consent from all participants, providing them with a comprehensive explanation of the study’s objectives.
The study’s limitations, encompassing generalizability concerns due to a single-center setting and sample size restrictions, alongside potential selection and information biases, underscore the importance of methodological refinement. The observational design’s inherent constraints on establishing causality and the potential influence of recall bias on qualitative data necessitate meticulous attention. The exclusion of male partners further prompts a comprehensive approach for a well-rounded understanding.
Addressing these limitations, we have implemented strategic actions. Collaborative efforts with diverse rural healthcare centres enhance participant recruitment, augmenting the study’s external validity. Rigorous data collection protocols, executed by highly trained personnel utilizing standardized tools, mitigate biases and elevate data reliability. Employing advanced statistical methods, including multivariate regression analysis, counteracts confounding variables, facilitating nuanced insights from the observed data.
To rectify potential recall bias, meticulous question crafting minimizes discrepancies, complemented by participant review through member checking, ensuring data fidelity. Confronting the exclusion of male partners, subsequent phases will incorporate their perspectives, enriching the comprehensive understanding of multifaceted infertility dynamics.
By proactively embedding these measures, we anticipate heightened robustness, pertinence, and applicability of our study outcomes. These strategic undertakings not only elevate the caliber of our findings but also underscore the pragmatic implications for both clinical practice and future research inquiries.
Dissemination
After the completion of the study, we will publish in an indexed journal or conferences.
Study status
The study has not yet started. After publication of the protocol, we will start recruitment in the study.
While the complete pathogenesis of unexplained infertility remains not fully comprehended, several studies11–13 have indicated that hyperhomocysteinemia poses a risk factor for this condition.14 Findings from a case-control study demonstrated that reduced Hcy levels in the embryo culture medium correlated with improved pregnancy chances and higher embryo grades.15 Moreover, in polycystic ovary syndrome patients undergoing assisted reproductive technology (ART), follicular fluid homocysteine levels were found to be linked to clinical pregnancy, poor oocyte quality, and embryo quality.15,16 Furthermore, Hcy levels were observed to have an inverse association with fertility outcomes,16 and lower Hcy concentrations were detected in azoospermic seminal plasma compared to normozoospermic seminal plasma.17 Despite these findings, the precise relationship between Hcy levels and unexplained infertility has not been clearly established as of yet.
Several previous studies have indicated that an elevated Hcy concentration can have negative effects on oocyte numbers, oocyte maturity, fertilization, and embryo quality.18 Additionally, an increased level of Hcy in the follicular fluid may cause follicular occlusion, resulting in reduced oocyte quantity and quality and influencing early embryo quality.15 Elevated Hcy levels in the follicular fluid can also impact female reproductive functions, leading to the production of inflammatory cytokines, increased oxidative stress, and disrupted methylation reactions. All these alterations have significant associations with oocyte development, fertilization, embryo implantation, and the maintenance of pregnancy.18
The study’s outcomes carry significant implications for both clinical practice and public health. Notably, the observed implications extend beyond the immediate findings, as they have the potential to impact the management and care of women with unexplained infertility. While our current study design is based on a single-center approach and involves a specific study population, these limitations are recognized as potential constraints on the broader generalizability of the findings. Therefore, future research endeavors involving larger and more diverse samples are warranted to corroborate and validate these results across varied settings. Such investigations will help to establish a more robust foundation upon which healthcare practitioners and policymakers can base their decisions, fostering improved outcomes and strategies for addressing unexplained infertility across different demographic and healthcare contexts.
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Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Partly
Are sufficient details of the methods provided to allow replication by others?
No
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: nursing, management, leadership , education, health sciences, education, research
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Version 1 23 Feb 24 |
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