Poor ovarian response in assisted reproductive technology cycles is associated with anti-ovarian antibody and pro-inflammatory immune responses

Huang, Changsheng; AlSubki, Lujain; Yamaya, Ayano; Sung, Nayoung; Kwak-Kim, Joanne

doi:10.1016/j.jri.2023.104152

Cited by 3 publications

(1 citation statement)

References 79 publications

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“…However, the exact mechanism underlying hypo-responsiveness to OS remains incompletely understood. It is possible that immunity and inflammation play a role in the pathogenesis 9 , 31 , 32 .…”

Section: Discussionmentioning

confidence: 99%

Metagenomic analysis revealed the association between gut microbiota and different ovary responses to controlled ovarian stimulation

Fo,

Pei,

Liu

et al. 2024

Sci Rep

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The aim of this study was to assess the correlation between gut microbial taxonomy and various ovarian responses to controlled ovarian stimulation. A total of 22 IVF cycles with a follicle-to-oocyte index (FOI) < 0.5 and 25 IVF cycles with FOI ≥ 0.5 were included in this study. Baseline demographic characteristics were compared between the two groups. Metagenomic sequencing was performed to analyze fecal microbial community profiles. Mice were used to evaluate the effect of Bifidobacterium_longum on ovarian response to stimulation. Compared with FOI < 0.5 group, women in group with FOI ≥ 0.5 had significant more oocytes retrieved (p < 0.01). Prevotella_copri, Bateroides_vulgatus, Escherichia_coli and Bateroides_stercoris were more abundant in FOI < 0.5 group while Bifidobacterium_longum, Faecalibacterium_prausnitzii, Ruminococcus_gnavus and Bifidobacterium_pseudocatenula were more abundant in FOI ≥ 0.5 group. After adjusting for women’s age and BMI, Pearson correlation analysis indicated alteration of gut microbiome was related with serum E2, FSH, number of oocytes retrieved and clinical pregnancy rate. Animal study showed ovarian response will be improved after Bifidobacterium_longum applied. An increased abundance of Bacteroidetes and Prevotella copri, as well as a decreased abundance of Bifidobacterium longum, have been found to be associated with poor ovarian responsiveness. Changes in gut microbiomes have been observed to be correlated with certain clinical characteristics. The potential enhancement of ovarian response may be facilitated by the integration of Bifidobacterium longum.

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Section: Discussionmentioning

confidence: 99%

Metagenomic analysis revealed the association between gut microbiota and different ovary responses to controlled ovarian stimulation

Fo,

Pei,

Liu

et al. 2024

Sci Rep

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Features of the reproductive function of girls and women with rheumatoid arthritis: A review

Kazakova,

Santalova,

Kartashova

et al. 2024

Gynecology

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Rheumatoid arthritis is one of the most common and severe autoimmune diseases. The prevalence of rheumatoid arthritis among adults in different geographical areas of the world ranges from 0.5 to 2%. The prevalence of juvenile rheumatoid arthritis is approximately 6 per 10 thousand children. The disease occurs 2 times more often in girls than in boys. Some studies have demonstrated a possible effect of high cumulative doses of methotrexate on ovarian function in patients with systemic lupus erythematosus, but further studies are needed to confirm this effect. The analysis of literature data allowed us to identify prognostically significant factors in the development of autoimmune ovarian failure in patients of reproductive age with rheumatic pathology, and to note the fact that there is missing information about the state of the reproductive system in female patients with juvenile arthritis.

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TDOA-AOA Localization Algorithm for 5G Intelligent Reflecting Surfaces

Zhang,

Liu,

Gang

et al. 2024

Electronics

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5G positioning technology has become deeply integrated into daily life. However, in wireless signal propagation environments, there may exist non-line-of-sight (NLOS) conditions, which lead to signal blockage and subsequently hinder the provision of positioning services. To address this issue, this paper proposes an intelligent reflecting surface (IRS) NLOS time difference of arrival–angle of arrival (TDOA-AOA) localization (INTAL) algorithm. First, the algorithm constructs a system model for 5G IRS localization, effectively overcoming the challenges of positioning in NLOS paths. Then, by applying the multiple signal classification algorithm to estimate the time delay and angle, and using the Chan algorithm to obtain the user’s estimated coordinates, an optimization problem is formulated to minimize the distance between the estimated and actual coordinates. The tent–snake optimization algorithm is employed to solve this optimization problem, thereby reducing localization errors. Finally, simulations demonstrate that the INTAL algorithm outperforms the snake optimization (SO) algorithm and the gray wolf optimization (GWO) algorithm under the same conditions, reducing the localization error by 56% and 60% on average, respectively. Additionally, when the signal-to-noise ratio is 30 dB, the localization error of the INTAL algorithm is only 0.2968 m, while the errors for the SO and GWO algorithms are 0.6733 m and 0.7398 m, respectively. This further proves the significant improvement of the algorithm in terms of localization accuracy.

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Poor ovarian response in assisted reproductive technology cycles is associated with anti-ovarian antibody and pro-inflammatory immune responses

Cited by 3 publications

References 79 publications

Metagenomic analysis revealed the association between gut microbiota and different ovary responses to controlled ovarian stimulation

Metagenomic analysis revealed the association between gut microbiota and different ovary responses to controlled ovarian stimulation

Features of the reproductive function of girls and women with rheumatoid arthritis: A review

TDOA-AOA Localization Algorithm for 5G Intelligent Reflecting Surfaces

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