Polymorphism study of MTHFR 677C?T and its correlation with oxidative stress and their influence on female infertility in Erbil – Iraq

Thabit, Muthanna A.; Abdullah, Gaylany H.; Al-Rawi, Khalid F.

doi:10.21123/bsj.2017.14.3.0611

Cited by 2 publications

(2 citation statements)

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“…Malondialdehyde (MDA) level was determined upon the reaction of thiobarbituric acid (TBA) with MDA; to yield a pink color complex of MDA-TBA2 product that is measured spectrophotometrically at 532 nm 18,19 .…”

Section: Biochemical Determination: Lipid Peroxidation Assaymentioning

confidence: 99%

Estimation of some biochemical markers in acute myeloid leukemic patients before and after chemotherapy

Mohsen,

Ali

2024

Baghdad Sci.J

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The aim of this study was to measure the levels of malondialdehyde (MDA), peroxynitrite (PN), homocysteine (HCY), and uric acid (UA) in acute myeloid leukemic patients (AML) (before and after taking chemotherapy) and compare results with a healthy control group. The present study includes 120 age ranged 18-70 years old suffered from AML as well as 40 healthy group. Subjects were collected from patients and a control group at Erbil’s Nanakali Hospital, they were classified into four groups: Group 1 (G1) which includes 40 healthy subjects, Group 2 (G2) includes 40 AML patients before taking chemotherapy (newly diagnosed cases), Group 3 (G3) includes 40 AML patients after taking chemotherapy (one cycle) and Group 4 (G4) includes 40 AML patients after taking chemotherapy (more than one cycle). The results have shown a high significantly increased in levels of (MDA and UA), and significantly increased in PN in all patient groups (G1, G2, and G3) when compared to (G1). While homocysteine was a high significantly increased in (G2) when compared to (G1), and high significantly decreased in (G3 and G4) as compared to (G1). Additionally, the correlation analysis has shown that there was a significant positive correlation between malondialdehyde and peroxynitrite (r=0.4638), malondialdehyde and homocysteine (r=0.4752), and malondialdehyde with uric acid (r=0.3621). A high area under the curve of our data suggests that the determination of these parameters could be helpful to detect AML

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Section: Biochemical Determination: Lipid Peroxidation Assaymentioning

confidence: 99%

Estimation of some biochemical markers in acute myeloid leukemic patients before and after chemotherapy

Mohsen,

Ali

2024

Baghdad Sci.J

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“…Environmental triggers and genetics are potential causes that can contribute to the development of thyroid disease, according to the Mayo Clinic 4 . Additionally, infertility in women may be caused by thyroid gland diseases such as hypothyroidism, hyperthyroidism, and other thyroid gland disorders 5 . When the thyroid gland does not generate enough hormones, it causes weariness, weight gain, and sadness 6 .…”

Section: Introductionmentioning

confidence: 99%

Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review

Saleh,

Othman

2024

Baghdad Sci.J

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Thyroid disease is a common disease affecting millions worldwide. Early diagnosis and treatment of thyroid disease can help prevent more serious complications and improve long-term health outcomes. However, thyroid disease diagnosis can be challenging due to its variable symptoms and limited diagnostic tests. By processing enormous amounts of data and seeing trends that may not be immediately evident to human doctors, Machine Learning (ML) algorithms may be capable of increasing the accuracy with which thyroid disease is diagnosed. This study seeks to discover the most recent ML-based and data-driven developments and strategies for diagnosing thyroid disease while considering the challenges associated with imbalanced data in thyroid disease predictions. A systematic literature review (SLR) strategy is used in this study to give a comprehensive overview of the existing literature on forecasting data on thyroid disease diagnosed using ML. This study includes 168 articles published between 2013 and 2022, gathered from high-quality journals and applied meta-analysis. The thyroid disease diagnoses (TDD) category, techniques, applications, and solutions were among the many elements considered and researched when reviewing the 41 articles of cited literature used in this research. According to our SLR, the current technique's actual application and efficacy are constrained by several outstanding issues associated with imbalance. In TDD, the technique of ML increases data-driven decision-making. In the Meta-analysis, 168 documents have been processed, and 41 documents on TDD are included for observation analysis. The limits of ML that are discussed in the discussion sections may guide the direction of future research. Regardless, this study predicts that ML-based thyroid disease detection with imbalanced data and other novel approaches may reveal numerous unrealised possibilities in the future

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Polymorphism study of MTHFR 677C?T and its correlation with oxidative stress and their influence on female infertility in Erbil – Iraq

Cited by 2 publications

References 0 publications

Estimation of some biochemical markers in acute myeloid leukemic patients before and after chemotherapy

Estimation of some biochemical markers in acute myeloid leukemic patients before and after chemotherapy

Exploring the Challenges of Diagnosing Thyroid Disease with Imbalanced Data and Machine Learning: A Systematic Literature Review

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