Genital tuberculosis: A silent contributor to infertility and adverse pregnancy outcomes DOI

Mudra Sikenis,

B. L. Prajapati,

Ashutosh Kumar Singh

et al.

Journal of Reproductive Healthcare and Medicine, Journal Year: 2024, Volume and Issue: 5, P. 17 - 17

Published: Dec. 31, 2024

Genital tuberculosis (GTB) is a significant yet often unnoticed reason for infertility, disproportionately affecting women in areas with high burden of (TB). Notwithstanding its considerable effect on reproductive health, GTB remains underdiagnosed due to inconspicuous clinical presentation and the limits existing diagnostic tools. This review gives top-to-bottom examination epidemiological patterns physiological impacts GTB, featuring intricate interchange between illness infertility. The discussion envelops complex difficulties diagnosing GTB-associated which incorporate nonspecific symptoms, absence delicate explicit tests, potential misdiagnosis other gynecological conditions. Furthermore, we investigate ongoing pharmacological medications used treat focusing their efficacy, limitations, emergence drug-resistant TB strains that complicate treatment outcomes.

Language: Английский

Female reproductive disease, endometriosis: From inflammation to infertility DOI Open Access
Wonhyoung Park, Whasun Lim, Mi-Ji Kim

et al.

Molecules and Cells, Journal Year: 2024, Volume and Issue: unknown, P. 100164 - 100164

Published: Nov. 1, 2024

Language: Английский

Citations

5
Artificial intelligence predicts pregnancy complications based on cytokine profiles DOI Creative Commons
Fawaz Azizieh, Bülent Yılmaz, Raj Raghupathy

et al.

The Journal of Maternal-Fetal & Neonatal Medicine, Journal Year: 2025, Volume and Issue: 38(1)

Published: May 8, 2025

Early prediction of pregnancy complications is important for adequate and timely prevention, management, reducing maternal/fetal pathogenesis. To study the prognostic value cytokines as predictors using unbiased artificial intelligence/machine learning (AI/ML) methods. For this study, we used our previously published data on 127 women with 97 a history normal delivery undergoing delivery. A panel seven were analyzed from activated peripheral blood mononuclear cells (PBMC). AI/ML methods such kNN, SVM, decision tree, ensemble classification applied to explore possible use compare predict gestation opposed different recurrent spontaneous miscarriage (RSM), preterm (PTD), pregnancy-induced hypertension (PIH), premature rupture fetal membranes (PROM). The examined cytokine levels in various conditions, revealing significant differences, particularly IL-2 IFN-γ, across age-matched comparisons. Additionally, binary tasks demonstrated notable accuracies f-measures methodologies Ensemble (Bagged), QDA, SVM (Cubic), showcasing their effectiveness distinguishing between complications. provides machine learning-based methodology based produced by cells.

Language: Английский

Citations

0
Berberine Alleviates Uterine Inflammation in Rats via Modulating the TLR-2/p-PI3K/p-AKT Axis DOI Creative Commons

Rawan H. Hareeri,

Amal Hofni

International Immunopharmacology, Journal Year: 2024, Volume and Issue: 141, P. 112931 - 112931

Published: Aug. 14, 2024

Uterine inflammation affects 8% of women in the United States and 32% developing nations, often caused by uncontrolled oxidative stress. This condition significantly impacts women's health, productivity, quality life, increases risk related morbidities leading to higher healthcare costs. Research now focuses on natural antioxidants anti-inflammatory, particularly berberine (BBR), an isoquinoline alkaloid known for its antioxidant, antiapoptotic activities. The present study sought examine potential therapeutic efficacy BBR against uterine induced intrauterine infusion iodine (I

Language: Английский

Citations

2
Genital tuberculosis: A silent contributor to infertility and adverse pregnancy outcomes DOI

Mudra Sikenis,

B. L. Prajapati,

Ashutosh Kumar Singh

et al.

Journal of Reproductive Healthcare and Medicine, Journal Year: 2024, Volume and Issue: 5, P. 17 - 17

Published: Dec. 31, 2024

Genital tuberculosis (GTB) is a significant yet often unnoticed reason for infertility, disproportionately affecting women in areas with high burden of (TB). Notwithstanding its considerable effect on reproductive health, GTB remains underdiagnosed due to inconspicuous clinical presentation and the limits existing diagnostic tools. This review gives top-to-bottom examination epidemiological patterns physiological impacts GTB, featuring intricate interchange between illness infertility. The discussion envelops complex difficulties diagnosing GTB-associated which incorporate nonspecific symptoms, absence delicate explicit tests, potential misdiagnosis other gynecological conditions. Furthermore, we investigate ongoing pharmacological medications used treat focusing their efficacy, limitations, emergence drug-resistant TB strains that complicate treatment outcomes.

Language: Английский

Citations

1