scholarly journals Altered Cytokine Gene Expression in Peripheral Blood Monocytes across the Menstrual Cycle in Primary Dysmenorrhea: A Case-Control Study

PLoS ONE ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. e55200 ◽  
Author(s):  
Hongyue Ma ◽  
Min Hong ◽  
Jinao Duan ◽  
Pei Liu ◽  
Xinsheng Fan ◽  
...  
1994 ◽  
Vol 68 (6) ◽  
pp. 293-298 ◽  
Author(s):  
F. H. M. Cluitmans ◽  
B. H. J. Esendam ◽  
J. E. Landegent ◽  
R. Willemze ◽  
J. H. F. Falkenburg

2021 ◽  
pp. 036354652110232
Author(s):  
Jessica M. Eager ◽  
William J. Warrender ◽  
Carly B. Deusenbery ◽  
Grant Jamgochian ◽  
Arjun Singh ◽  
...  

Background: Impaired healing after rotator cuff repair is a major concern, with retear rates as high as 94%. A method to predict whether patients are likely to experience poor surgical outcomes would change clinical practice. While various patient factors, such as age and tear size, have been linked to poor functional outcomes, it is currently very challenging to predict outcomes before surgery. Purpose: To evaluate gene expression differences in tissue collected during surgery between patients who ultimately went on to have good outcomes and those who experienced a retear, in an effort to determine if surgical outcomes can be predicted. Study Design: Case-control study; Level of evidence, 3. Methods: Rotator cuff tissue was collected at the time of surgery from 140 patients. Patients were tracked for a minimum of 6 months to identify those with good or poor outcomes, using clinical functional scores and follow-up magnetic resonance imaging to confirm failure to heal or retear. Gene expression differences between 8 patients with poor outcomes and 28 patients with good outcomes were assessed using a multiplex gene expression analysis via NanoString and a custom-curated panel of 145 genes related to various stages of rotator cuff healing. Results: Although significant differences in the expression of individual genes were not observed, gene set enrichment analysis highlighted major differences in gene sets. Patients who had poor healing outcomes showed greater expression of gene sets related to extracellular matrix production ( P < .0001) and cellular biosynthetic pathways ( P < .001), while patients who had good healing outcomes showed greater expression of genes associated with the proinflammatory (M1) macrophage phenotype ( P < .05). Conclusion: These results suggest that a more proinflammatory, fibrotic environment before repair may play a role in poor healing outcome. With validation in a larger cohort, these results may ultimately lead to diagnostic methods to preoperatively predict those at risk for poor surgical outcomes.


2013 ◽  
Vol 26 (6) ◽  
pp. 350-354 ◽  
Author(s):  
Tinatin Gagua ◽  
Besarion Tkeshelashvili ◽  
David Gagua ◽  
Nino Mchedlishvili

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
B Biscaro ◽  
A R Lorenzon ◽  
E L Motta ◽  
C Gomes

Abstract Study question Is there a difference between IVF outcomes in patients undergoing follicular versus luteal phase ovarian stimulation in different menstrual cycles? Summary answer Number of euploid blastocyst were higher in luteal phase ovarian stimulation IVF cycles. All other outcomes were similar between follicular and luteal phase IVF cycles. What is known already It has been published that human beings can have two or three follicular recruitment waves as observed in animals studies a long time ago. From these findings, several recent studies showed that two egg retrievals at the same menstrual cycle, named as Duo Stim, optimize time and IVF outcomes in women with low ovarian reserve due to more eggs retrieved in a shorter period with consequently higher probability of having good embryos to transfer. However, there is no knowledge about diferences concerning IVF outcomes between folicular and luteal ovarian stimulation, performed at the same women in different menstrual cycles. Study design, size, duration Retrospective, case-control study in a single IVF center. One-hundred-two patients who had two IVF treatments – the first cycle initiating ovarian stimulation at follicular phase (FPS) and the second cycle initiating after a spontaneous ovulation at luteal phase (LPS) – in different menstrual cycles (until 6 months apart) between 2014 and 2020, were included. Statistical analysis was performed with Mann-Whitney test and was considered significant when p ≤ 0.05. Data is represented as mean±SD. Participants/materials, setting, methods Patients underwent two IVF treatments in different menstrual cycles; the FPS IVF treatment was initiating at D2/D3 of menstrual cycle and the LPS treatment started three or four days after spontaneous ovulation, if at least 4 antral follicles were detected. Both IVF treatments were performed with and antagonist protocol and freeze all strategy. The majority of patients presents low ovarian reserve/Ovarian age as primary infertility factor (84.3%). Main results and the role of chance Patient’s mean age was 39.30±3.15 years, BMI (22.66±3.16) and AMH levels (0.85±0.85 ng/mL). Comparison of hormonal levels at the beginning of ovarian stimulation showed differences for FPS vs LPS, as expected: E2 (39.69±31,10 pg/mL vs 177.33±214.26 pg/mL,p&lt; 0.0001) and P4 (0.76±2.47ng/mL vs 3,00±5.00 ng/mL,p&lt; 0.0001). However, E2 and P4 at the day of oocyte maturation trigger were not different between FPS and LPS (1355.24±895.73 pg/mL vs 1133.14±973.01 ng/mL,p=0.0883 and 1.12±1.49 ng/mL vs 2.94±6.51,p=0.0972 respectively). There was no difference for total dose of gonadotrofins (FPS 2786.43±1102.39.01UI vs LPS 2824.12±1188.87UI, p = 0,8578), FSH (FPS 9.50±4.98 vs LPS 11.90±12.99,p=0.7502) and AFC (FPS 7.13±4.25 vs LPS 6.42±4.65,p=0,0944). From 102 patients that started ovarian stimulation, 78 had 1 or more oocyte collect in FPS group and 75 in LPS group: OPU (FPS 4.78±4.93 vs LPS 4.65±5.54,p=0.7889), number of MII (FPS 3.21±3.52 vs LPS 3.40±4.53,p=0.7889). From those, 52 patients performed ICSI in both cycles; fertilization rate 64.9%±28.6% for FPS vs 62.1%±32.4% for LPS,p=0.7899) and blastocyst formation 2.15±2.15 for FPS vs 2.54±2.35,p=0.3496). Data from 25 patients who had embryo biopsy for PGT-A showed similar number of blastocyst biopsed (2.12±1.72 FPS vs 2.48±1.71 LPS,p=0.3101) and a statistically significant difference regarding number of euploid blastocyst (0,20±0,41 FPS vs 0,96±0,93 LPS,p=0,0008). Limitations, reasons for caution This is a retrospective study in a limited number of patients. Therefore, it is not possible to make a definitive conclusion that LPS proportionate higher number of euploid than FPS. More studies are necessary to investigate not only IVF outcomes but also the impact on pregnancy rates. Wider implications of the findings: In our study, LPS protocol after spontaneous ovulation, presents similar IVF outcomes compared to routinely FPS protocol. Intriguingly, the number of euploid blastocyst was significant higher in LPS, which may be further investigated. In this way, LPS is another option of IVF treatment, and may optimize time and treatment results. Trial registration number Not applicable


2009 ◽  
Vol 17 (5-6) ◽  
pp. 262-268 ◽  
Author(s):  
Ineke van den Berg ◽  
Ylian S. Liem ◽  
Feikje Wesseldijk ◽  
Freek J. Zijlstra ◽  
M.G. Myriam Hunink

PLoS ONE ◽  
2012 ◽  
Vol 7 (6) ◽  
pp. e39243 ◽  
Author(s):  
Didier Jutras-Aswad ◽  
Michelle M. Jacobs ◽  
Georgia Yiannoulos ◽  
Panos Roussos ◽  
Panos Bitsios ◽  
...  

eLife ◽  
2021 ◽  
Vol 10 ◽  
Author(s):  
Chiara Fallerini ◽  
Sergio Daga ◽  
Stefania Mantovani ◽  
Elisa Benetti ◽  
Nicola Picchiotti ◽  
...  

Background: Recently, loss-of-function variants in TLR7 were identified in two families in which COVID-19 segregates like an X-linked recessive disorder environmentally conditioned by SARS-CoV-2. We investigated whether the two families represent the tip of the iceberg of a subset of COVID-19 male patients. Methods: This is a nested case-control study in which we compared male participants with extreme phenotype selected from the Italian GEN-COVID cohort of SARS-CoV-2-infected participants (<60y, 79 severe cases versus 77 control cases). We applied the LASSO Logistic Regression analysis, considering only rare variants on young male subsets with extreme phenotype, picking up TLR7 as the most important susceptibility gene. Results: Overall, we found TLR7 deleterious variants in 2.1% of severely affected males and in none of the asymptomatic participants. The functional gene expression profile analysis demonstrated a reduction in TLR7-related gene expression in patients compared with controls demonstrating an impairment in type I and II IFN responses. Conclusion: Young males with TLR7 loss-of-function variants and severe COVID-19 represent a subset of male patients contributing to disease susceptibility in up to 2% of severe COVID-19.


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