Optical biosensing strategies for DNA methylation analysis

New advances in signal amplification strategies for DNA methylation detection in vitro

5-methylcytosine (5 mC) DNA methylation is a prominent epigenetic modification ubiquitous in the genome. It plays a critical role in the regulation of gene expression, maintenance of genome stability, and disease control. The potential of 5 mC DNA methylation for disease detection, prognostic information, and prediction of response to therapy is enormous. However, the quantification of DNA methylation from clinical samples remains a considerable challenge due to its low abundance (only 1% of total bases). To overcome this challenge, scientists have recently developed various signal amplification strategies to enhance the sensitivity of DNA methylation biosensors. These strategies include isothermal nucleic acid amplification and enzyme-assisted target cycling amplification, among others. This review summarizes the applications, advantages, and limitations of these signal amplification strategies over the past six years (2018-2023). Our goal is to provide new insights into the selection and establishment of DNA methylation analysis. We hope that this review will offer valuable insights to researchers in the field and facilitate further advancements in this area.

Mini-review of DNA Methylation Detection Techniques and Their Potential Applications in Disease Diagnosis, Prognosis, and Treatment

DNA methylation is the dominant epigenetic mechanism for regulating gene expression in mammals, playing crucial roles in development, differentiation, and tissue homeostasis. Aberrations in DNA methylation are closely associated with the potential onset of various diseases. Consequently, numerous DNA methylation detection techniques have been successively developed. These methods not only facilitate the exploration of disease mechanisms but also hold significant promise for the development of diagnostic and prognostic strategies. In this Perspective, we present a comprehensive overview of commonly employed DNA methylation detection techniques as well as biosensing based on their underlying analytical techniques. For its medical applications, we begin by examining the pathogenesis of different diseases and then proceed to discuss how relevant technologies are applied in the context of these specific medical conditions. Additionally, we briefly discuss the current limitations of these techniques and highlight future challenges in advancing methylation detection and analysis methodologies.

Cationic Conjugated Polymer Fluorescence Resonance Energy Transfer for DNA Methylation Assessment to Discriminate the Geographical Origins of Lonicerae japonicae flos

The flavor and taste of Lonicerae japonicae flos (LJF) products are heavily influenced by geographical origin. Tracing the geographical origin is an important aspect of LJF quality assessment. Here, DNA methylation analysis coupled with chemometrics revealed that, in 10 CpG islands upstream of genes in the chlorogenic acid and iridoid biosynthetic pathways, DNA methylation differences appear close association with LJF geographical origin. DNA methylation status in these CpG islands was determined using the cationic conjugated polymer fluorescence resonance energy transfer method. As a result, LJFs from 39 geographical origins were classified into four groups corresponding to Northern China, Central Plain of China, Southeast China, and Western China, according to cluster analysis and principal component analysis. Our findings contribute to an understanding of the modulation of LJF taste and can assist in understanding how DNA methylation in LJF varies with geographical origin.

Locus-Specific Detection of DNA Methylation: The Advance, Challenge, and Perspective of CRISPR-Cas Assisted Biosensors

Deoxyribonucleic acid (DNA) methylation is one of the epigenetic characteristics that result in heritable and revisable phenotype changes but without sequence changes in DNA. Aberrant methylation occurring at a specific locus was reported to be associated with cancers, insulin resistance, obesity, Alzheimer's disease, Parkinson's disease, etc. Therefore, locus-specific DNA methylation can serve as a valuable biomarker for disease diagnosis and therapy. Recently, Clustered regularly interspaced short palindromic repeats (CRISPR)-Cas systems are applied to develop biosensors for DNA, ribonucleic acid, proteins, and small molecules detection. Because of their highly specific binding ability and signal amplification capacity, CRISPR-Cas assisted biosensor also serve as a potential tool for locus-specific detection of DNA methylation. In this perspective, based on the detection principle, a detailed classification and comprehensive discussion of recent works about the latest advances in locus-specific detection of DNA methylation using CRISPR-Cas systems are provided. Furthermore, current challenges and future perspectives of CRISPR-based locus-specific detection of DNA methylation are outlined.

Rapid detection of cancer DNA in human blood using cysteamine-capped AuNPs and a machine learning-enabled smartphone

DNA methylation occurs when a methyl group is added to a cytosine (C) residue's fifth carbon atom, forming 5-methylcytosine (5-mC). Cancer genomes have a distinct methylation landscape (Methylscape), which could be used as a universal cancer biomarker. This study developed a simple, low-cost, and straightforward Methylscape sensing platform using cysteamine-decorated gold nanoparticles (Cyst/AuNPs), in which the sensing principle is based on methylation-dependent DNA solvation. Normal and cancer DNAs have distinct methylation profiles; thus, they can be distinguished by observing the dispersion of Cyst/AuNPs adsorbed on these DNA aggregates in MgCl₂ solution. After optimising the MgCl₂, Cyst/AuNPs, DNA concentration, and incubation time, the optimised conditions were used for leukemia screening, by comparing the relative absorbance (ΔA _650/525). Following the DNA extraction from actual blood samples, this sensor demonstrated effective leukemia screening in 15 minutes with high sensitivity, achieving 95.3% accuracy based on the measurement by an optical spectrophotometer. To further develop for practical realisation, a smartphone assisted by machine learning was used to screen cancer patients, achieving 90.0% accuracy in leukemia screening. This sensing platform can be applied not only for leukemia screening but also for other cancers associated with epigenetic modification.

Shining a Light on Cancer - Photonics in Microfluidic Tumor Modelling and Biosensing

Microfluidic platforms represent a powerful approach to miniaturizing important characteristics of cancers, improving in vitro testing by increasing physiological relevance. Different tools can manipulate cells and materials at the microscale, but few offer the efficiency and versatility of light and optical technologies. Moreover, light-driven technologies englobe a broad toolbox for quantifying critical biological phenomena. Herein, we review the role of photonics in microfluidic 3D cancer modeling and biosensing from three major perspectives. First, we look at optical-driven technologies that allow biomaterials and living cells to be manipulated with micro-sized precision and the opportunities to advance 3D microfluidic models by engineering cancer microenvironments' hallmarks, such as their architecture, cellular complexity, and vascularization. Second, we delve into the growing field of optofluidics, exploring how optical tools can directly interface microfluidic chips, enabling the extraction of relevant biological data, from single fluorescent signals to the complete 3D imaging of diseased cells within microchannels. Third, we review advances in optical cancer biosensing, focusing on how light-matter interactions can detect biomarkers, rare circulating tumor cells, and cell-derived structures such as exosomes. We overview photonic technologies' current challenges and caveats in microfluidic 3D cancer models, outlining future research avenues that may catapult the field. This article is protected by copyright. All rights reserved.

SERS-based DNA methylation profiling allows the differential diagnosis of malignant lymphadenopathy

This study highlights the potential of surface-enhanced Raman scattering (SERS) to differentiate between B-cell lymphoma (BCL), T-cell lymphoma (TCL), lymph node metastasis of melanoma (Met) and control (Ctr) samples based on the specific SERS signal of DNA extracted from lymph node tissue biopsy. Differences in the methylation profiles as well as the specific interaction of malignant and non-malignant DNA with the metal nanostructure are captured in specific variations of the band at 1005 cm^-1, attributed to 5-methylcytosine and the band at 730 cm^-1, attributed to adenine. Thus, using the area ratio of these two SERS marker bands as input for univariate classification, an area under the curve (AUC) of 0.70 was achieved in differentiating between malignant and non-malignant DNA. In addition, DNA from the BCL and TCL groups exhibited differences in the area of the SERS band at 730 cm^-1, yielding an AUC of 0.84 in differentiating between these two lymphadenopathies. Lastly, using multivariate data analysis techniques, an overall accuracy of 94.7% was achieved in the differential diagnosis between the BCL, TCL, Met and Ctr groups. These results pave the way towards the implementation of SERS as a novel tool in the clinical setting for improving the diagnosis of malignant lymphadenopathy.

Biophysics is reshaping our perception of the epigenome: from DNA-level to high-throughput studies

Epigenetic research holds great promise to advance our understanding of biomarkers and regulatory processes in health and disease. An increasing number of new approaches, ranging from molecular to biophysical analyses, enable identifying epigenetic changes on the level of a single gene or the whole epigenome. The aim of this review is to highlight how the field is shifting from completely molecular-biology-driven solutions to multidisciplinary strategies including more reliance on biophysical analysis tools. Biophysics not only offers technical advancements in imaging or structure analysis but also helps to explore regulatory interactions. New computational methods are also being developed to meet the demand of growing data volumes and their processing. Therefore, it is important to capture these new directions in epigenetics from a biophysical perspective and discuss current challenges as well as multiple applications of biophysical methods and tools. Specifically, we gradually introduce different biophysical research methods by first considering the DNA-level information and eventually higher-order chromatin structures. Moreover, we aim to highlight that the incorporation of bioinformatics, machine learning, and artificial intelligence into biophysical analysis allows gaining new insights into complex epigenetic processes. The gained understanding has already proven useful in translational and clinical research providing better patient stratification options or new therapeutic insights. Together, this offers a better readiness to transform bench-top experiments into industrial high-throughput applications with a possibility to employ developed methods in clinical practice and diagnostics.

Gold and Silver Nanoparticle-Based Colorimetric Sensors: New Trends and Applications

Gold and Silver nanoparticles (AuNPs and AgNPs) are perfect platforms for developing sensing colorimetric devices thanks to their high surface to volume ratio and distinctive optical properties, particularly sensitive to changes in the surrounding environment. These characteristics ensure high sensitivity in colorimetric devices. Au and Ag nanoparticles can be capped with suitable molecules that can act as specific analyte receptors, so highly selective sensors can be obtained. This review aims to highlight the principal strategies developed during the last decade concerning the preparation of Au and Ag nanoparticle-based colorimetric sensors, with particular attention to environmental and health monitoring applications.

Non-Coding RNA-Based Biosensors for Early Detection of Liver Cancer

Primary liver cancer is an aggressive, lethal malignancy that ranks as the fourth leading cause of cancer-related death worldwide. Its 5-year mortality rate is estimated to be more than 95%. This significant low survival rate is due to poor diagnosis, which can be referred to as the lack of sufficient and early-stage detection methods. Many liver cancer-associated non-coding RNAs (ncRNAs) have been extensively examined to serve as promising biomarkers for precise diagnostics, prognostics, and the evaluation of the therapeutic progress. For the simple, rapid, and selective ncRNA detection, various nanomaterial-enhanced biosensors have been developed based on electrochemical, optical, and electromechanical detection methods. This review presents ncRNAs as the potential biomarkers for the early-stage diagnosis of liver cancer. Moreover, a comprehensive overview of recent developments in nanobiosensors for liver cancer-related ncRNA detection is provided.

Application of selected biosensor techniques in clinical diagnostics

INTRODUCTION

Examination of disease biomarkers mostly performed on crude materials, such as serum, meets some obstacles, resulting from sample complexity and the wide range of concentrations and sizes of the components. Techniques currently used in clinical diagnostics are usually time-consuming and expensive. The more sensitive and portable devices are needed for early diagnostics. Chemical sensors are devices that convert chemical information into parameters suitable for fast and precise processing and measurement.

AREA COVERED

We review the use of biosensors and their possible application in early diagnostics of some diseases like cancer or viral infections. We focus on different types of biorecognition and some technical modifications, lowering the limit of detection potentially attractive to medical practitioners.

EXPERT OPINION

Among the new diagnostic strategies, the use of biosensors is of increasing interest. In these techniques, the capture ligand interacts with the analyte of interest. Measuring interactions between partners in real time by surface plasmon resonance yields valuable information about kinetics and affinity in a short time and without labels. Importantly, the tendency in such techniques is to make biosensor devices smaller and the test results apparent with the naked eye, so they can be used in point-of-care medicine.

Current Advances in DNA Methylation Analysis Methods

DNA methylation is one of the epigenetic changes, which plays a major role in regulating gene expression and, thus, many biological processes and diseases. There are several methods for determining the methylation of DNA samples. However, selecting the most appropriate method for answering biological questions appears to be a challenging task. The primary methods in DNA methylation focused on identifying the state of methylation of the examined genes and determining the total amount of 5-methyl cytosine. The study of DNA methylation at a large scale of genomic levels became possible following the use of microarray hybridization technology. The new generation of sequencing platforms now allows the preparation of genomic maps of DNA methylation at the single-open level. This review includes the majority of methods available to date, introducing the most widely used methods, the bisulfite treatment, biological identification, and chemical cutting along with their advantages and disadvantages. The techniques are then scrutinized according to their robustness, high throughput capabilities, and cost.

Investigation of genomic DNA methylation by ultraviolet resonant Raman spectroscopy

Cytosine plays a preeminent role in DNA methylation, an epigenetic mechanism that regulates gene expression, the misregulation of which can lead to severe diseases. Several methods are nowadays employed for assessing the global DNA methylation levels, but none of them combines simplicity, high sensitivity, and low operating costs to be translated into clinical applications. Ultraviolet (UV) resonant Raman measurements at excitation wavelengths of 272 nm, 260 nm, 250 nm, and 228 nm have been carried out on isolated deoxynucleoside triphosphates (dNTPs), on a dNTP mixture as well as on genomic DNA (gDNA) samples, commercial from salmon sperm and non-commercial from B16 murine melanoma cell line. The 228 nm excitation wavelength was identified as the most suitable energy for enhancing cytosine signals over the other DNA bases. The UV Raman measurements performed at this excitation wavelength on hyper-methylated and hypo-methylated DNA from Jurkat leukemic T-cell line have revealed significant spectral differences with respect to gDNA isolated from salmon sperm and mouse melanoma B16 cells. This demonstrates how the proper choice of the excitation wavelength, combined with optimized extraction protocols, makes UV Raman spectroscopy a suitable technique for highlighting the chemical modifications undergone by cytosine nucleotides in gDNA upon hyper- and hypo-methylation events.

Recent advances in biosensors for in vitro detection and in vivo imaging of DNA methylation

DNA methylation is the predominant epigenetic modification that participates in many fundamental cellular processes through posttranscriptional regulation of gene expression. Aberrant DNA methylation is closely associated with a variety of human diseases including cancers. Therefore, accurate and sensitive detection of DNA methylation may greatly facilitate the epigenetic biological researches and disease diagnosis. In recent years, a series of novel biosensors have been developed for highly sensitive detection of DNA methylation, but an overview of recent advances in biosensors for in vitro detection and especially live-cell imaging of DNA methylation is absent. In this review, we summarize the emerging biosensors for in vitro and in vivo DNA methylation assays in the past five years (2015-2020). Based on the signal types, the biosensors for in vitro DNA methylation assay are classified into five categories including fluorescent, electrochemical, colorimetric, surface enhanced Raman spectroscopy, mass spectrometry, and surface plasmon resonance biosensors, while the biosensors for in vivo DNA methylation assay mainly rely on fluorescent imaging. We review the strategies, features and applications of these biosensors, and provide a new insight into the challenges and future directions in this area.

Quantum scale organic semiconductors for SERS detection of DNA methylation and gene expression

Cancer stem cells (CSC) can be identified by modifications in their genomic DNA. Here, we report a concept of precisely shrinking an organic semiconductor surface-enhanced Raman scattering (SERS) probe to quantum size, for investigating the epigenetic profile of CSC. The probe is used for tag-free genomic DNA detection, an approach towards the advancement of single-molecule DNA detection. The sensor detected structural, molecular and gene expression aberrations of genomic DNA in femtomolar concentration simultaneously in a single test. In addition to pointing out the divergences in genomic DNA of cancerous and non-cancerous cells, the quantum scale organic semiconductor was able to trace the expression of two genes which are frequently used as CSC markers. The quantum scale organic semiconductor holds the potential to be a new tool for label-free, ultra-sensitive multiplexed genomic analysis.

MicroRNAs in ovarian cancer and recent advances in the development of microRNA-based biosensors

Ovarian cancer is the most aggressive of all gynaecological malignancies and is the leading cause of cancer-associated mortality worldwide.

LMP1 gene detection using a capped gold nanowire array surface plasmon resonance sensor in a microfluidic chip

A new detection device by using SPR nanowire array chip and a microfluidics system was developed. A simple, low-cost and reproducible SPR nanowire chip with a visible light source displayed real-time detection capability.

Advanced Evanescent-Wave Optical Biosensors for the Detection of Nucleic Acids: An Analytic Perspective

Evanescent-wave optical biosensors have become an attractive alternative for the screening of nucleic acids in the clinical context. They possess highly sensitive transducers able to perform detection of a wide range of nucleic acid-based biomarkers without the need of any label or marker. These optical biosensor platforms are very versatile, allowing the incorporation of an almost limitless range of biorecognition probes precisely and robustly adhered to the sensor surface by covalent surface chemistry approaches. In addition, their application can be further enhanced by their combination with different processes, thanks to their integration with complex and automated microfluidic systems, facilitating the development of multiplexed and user-friendly platforms. The objective of this work is to provide a comprehensive synopsis of cutting-edge analytical strategies based on these label-free optical biosensors able to deal with the drawbacks related to DNA and RNA detection, from single point mutations assays and epigenetic alterations, to bacterial infections. Several plasmonic and silicon photonic-based biosensors are described together with their most recent applications in this area. We also identify and analyse the main challenges faced when attempting to harness this technology and how several innovative approaches introduced in the last years manage those issues, including the use of new biorecognition probes, surface functionalization approaches, signal amplification and enhancement strategies, as well as, sophisticated microfluidic solutions.

DNA methylation detection: recent developments in bisulfite free electrochemical and optical approaches

DNA methylation is one of the significant epigenetic modifications involved in mammalian development as well as in the initiation and progression of various diseases like cancer. Over the past few decades, an enormous amount of research has been carried out for the quantification of DNA methylation in the mammalian genome. Earlier, most of these methodologies used bisulfite treatment. However, the low conversion, false reading, longer assay time and complex chemical reaction are the common limitations of this method that hinder their application in routine clinical screening. Thus, as an alternative to bisulfite conversion-based DNA methylation detection, numerous bisulfite-free methods have been proposed. In this regard, electrochemical biosensors have gained much attention in recent years for being highly sensitive yet cost-effective, portable, and simple to operate. On the other hand, biosensors with optical readouts enable direct real time detection of biological molecules and are easily adaptable to multiplexing. Incorporation of electrochemical and optical readouts into bisulfite free DNA methylation analysis is paving the way for the translation of this important biomarker into standard patient care. In this review, we provide a critical overview of recent advances in the development of electrochemical and optical readout based bisulfite free DNA methylation assays.

Colorimetric and electrochemical quantification of global DNA methylation using a methyl cytosine-specific antibody

We report a simple colorimetric (naked-eye) and electrochemical method for the rapid, sensitive and specific quantification of global methylation levels using only 25 ng of input DNA. Our approach utilises a three-step strategy; (i) initial adsorption of the extracted, purified and denatured bisulfite-treated DNA on a screen-printed gold electrode (SPE-Au), (ii) immuno-recognition of methylated DNA using a horseradish peroxidase (HRP)-conjugated methylcytosine (HRP-5mC) antibody and (iii) subsequent colorimetric detection by the enzymatic oxidation of 3,3',5,5'-tetramethylbenzidin (TMB)/H₂O₂ which generated a blue-coloured product in the presence of methylated DNA and HRP-5mC immunocomplex. As TMB_(ox) is electroactive, it also produces detectable amperometric current at +150 mV versus a Ag pseudo-reference electrode (electrochemical detection). The assay could successfully differentiate 5-aza-2'-deoxycytidine drug-treated and untreated Jurkat DNA samples. It showed good reproducibility (relative standard deviation (% RSD) = <5%, for n = 3) with fairly good sensitivity (as low as 5% difference in methylation levels) and specificity while analysing various levels of global DNA methylation in synthetic samples and cell lines. The method has also been tested for analysing the methylation level in fresh tissue samples collected from eight patients with oesophageal squamous cell carcinoma. We believe that this assay could be potentially useful as a low-cost alternative for genome-wide DNA methylation analysis in point-of-care applications.

Sensitive fluorescent detection of methyltransferase based on thermosensitive poly(N-isopropylacrylamide)

DNA methyltransferase (MTase) has a crucial role in many biological processes, its abnormal expression level has been regarded as a predictive cancer biomarker. Herein, a sensitive fluorescence method based on thermosensitive poly (N-isopr-opylacrylamide) was developed to assay of M.SssI activity. When the M.SssI was introduced, dsDNA was methylated at palindromic sequence 5'-C^mCGG-3' and became resistant to cleavage by the endonuclease HpaII. Therefore, a biotin modified ssDNA and a FAM modified ssDNA were designed including the recognized sites for both methyltransferase M.SssI and endonuclease HpaII. By SA-biotin intereaction, the DNA was conjugated to thermosensitive poly (N-isopropylacrylamide) modified by SA, the methylated substrate fluorescence was increased with the concentration of M.SssI increasing. The proposed method has a low detection limit of 0.18 U/mL. This simple method can be a useful tool to apply in diagnosis and biomedical research, which was successfully investigated in the serum sample.

Electrochemical signal-amplified detection of 5-methylcytosine and 5-hydroxymethylcytosine in DNA using glucose modification coupled with restriction endonucleases

A sensitive electrochemical assay based on glucose modification coupled with restriction endonucleases was fabricated for the detection of 5-methylcytosine and 5-hydroxymethylcytosine in DNA.

Porous nanozymes: the peroxidase-mimetic activity of mesoporous iron oxide for the colorimetric and electrochemical detection of global DNA methylation

Peroxidase-mimetic activity of mesoporous Fe₂O₃ nanomaterials in global DNA methylation detection using naked eye and electrochemical readout.

Neutralized chimeric DNA probe for detection of single nucleotide polymorphism on surface plasmon resonance biosensor

An implementation of neutralized chimeric DNA oligomer as a probe for sensitive detection of single nucleotide polymorphisms (SNPs) on a surface plasmon resonance imaging sensor is investigated. The chimeric DNA oligomer was synthesized in a conventional DNA synthesizer, containing neutral nucleotides with a methylated phosphate group. The secondary structures and melting points of the chimeric DNA fragment and its complexes with perfect-matched and single-mismatched complementary DNA molecules were examined by using circular dichroism and UV-vis spectroscopy in comparison with the native probe DNA counterpart. The results indicate that the chimeric DNA complexes can form a B-form structure and exhibit high thermostability. Moreover, the hybridization and discrimination efficiency of the chimeric probe DNA for the SNP genotyping were verified by using the SPRi sensor under different experimental conditions. The data reveal the effects of the ionic strength and operation temperature on the selectivity of the chimeric probe DNA for the SNP detection. The hybridization condition with a low ionic strength and high temperature allows the chimeric probe DNA distinguishing perfect-matched and single-mismatched target DNA molecules to the best extent, likely due to the reduced electrostatic repulsive force and presence of the additional methyl group on the backbone. Consequently, the direct and label-free detection with the SPR technique and neutralized chimeric probe DNA can be realized for the SNP genotyping by optimizing the operation condition and sequence design.

Epigallocatechin-3-gallate inhibits growth and induces apoptosis in esophageal cancer cells through the demethylation and reactivation of the p16 gene

The present study aimed to investigate the effect of treatment with epigallocatechin-3-gallate (EGCG) on the human esophageal cancer cell line ECa109 and elucidate the associated underlying mechanisms. ECa109 cells were cultured and treated with increasing concentrations of EGCG for various durations. Cell viability was evaluated using the MTT assay and apoptosis was detected using flow cytometry. The methylation status of the cyclin-dependent kinase inhibitor 2A (p16) gene was analyzed using the methylation-specific polymerase chain reaction (PCR). p16 mRNA and protein expression was measured using reverse transcription-quantitative PCR and western blot analysis, respectively. The results of the present study demonstrated that, following treatment with EGCG, ECa109 cell viability was significantly decreased, while the rate of apoptosis was significantly increased (P<0.01), in a dose- and time-dependent manner. Following treatment of ECa109 cells with EGCG, p16 gene demethylation, and its mRNA and protein expression, were significantly increased compared with the untreated cells (P<0.01). EGCG may induce ECa109 cell apoptosis and inhibit cell growth through p16 gene demethylation, which restores its expression.

Effect of B9 and B12 vitamin intake on semen parameters and fertility of men with MTHFR polymorphisms

The methylenetetrahydrofolate reductase (MTHFR) gene codes a crucial enzyme which involve in folate metabolism. The effect of MTHFR gene polymorphisms on male fertility status is uncertain and controversial. We evaluated the effect of B vitamin family intake on total homocysteine content and semen parameters of men with MTHFR gene polymorphisms. MTHFR genotypes frequency and serum total homocysteine concentration were measured among 280 men with impaired spermatogenesis (asthenospermia, oligospermia, severe oligospermia and azoospermia) and 85 control participants. B vitamin family dietary intakes were assessed using a semi-quantitative food-frequency questionnaire. In addition, concentrations of vitamins B9 and B12 were evaluated in serum samples of some participants (n = 60). We observed significantly higher frequency of TC or TT genotypes in C677T polymorphism among oligospermic, severe oligospermic and azoospermic men. CC genotype of A1298C polymorphism was significantly higher only in azoospermic men. Also, we observed critical effect of vitamin B9 and B12 intake on decreasing of total homocysteine and improving of semen parameters among the men with T allele of MTHFR C677T polymorphism. Our investigation showed that sufficient consumption of vitamins B9 and B12 influences sperm parameters of men with different MTHFR polymorphisms, especially genotypes with T allele.