Júlia Vallvé-Juanico

Dr. Júlia Vallvé-Juanico


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 July 2019 in Human Reproduction Update
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Journal Article
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JVJúlia Vallvé-Juanico
Júlia Vallvé-Juanico
SHSahar Houshdaran
Sahar Houshdaran
LGLinda C. Giudice
Linda C. Giudice
BACKGROUND: Endometriosis, a common oestrogen-dependent inflammatory disorder in women of reproductive age, is characterized by endometrial-like tissue outside its normal location in the uterus, which causes pelvic scarring, pain and infertility. While its pathogenesis is poorly understood, the immune system (systemically and locally in endometrium, pelvic endometriotic lesions and peritoneal fluid) is believed to play a central role in its aetiology, pathophysiology and associated morbidities of pain, infertility and poor pregnancy outcomes. However, immune cell populations within the endometrium of women with the disease have had incomplete phenotyping, thereby limiting insight into their roles in this disorder.OBJECTIVE AND RATIONALE: The objective herein was to determine reproducible and consistent findings regarding specific immune cell populations and their abundance, steroid hormone responsiveness, functionality, activation states, and markers, locally and systemically in women with and without endometriosis.SEARCH METHODS: A comprehensive English language PubMed, Medline and Google Scholar search was conducted with key search terms that included endometriosis, inflammation, human eutopic/ectopic endometrium, immune cells, immune population, immune system, macrophages, dendritic cells (DC), natural killer cells, mast cells, eosinophils, neutrophils, B cells and T cells.OUTCOMES: In women with endometriosis compared to those without endometriosis, some endometrial immune cells display similar cycle-phase variation, whereas macrophages (Mø), immature DC and regulatory T cells behave differently. A pro-inflammatory Mø1 phenotype versus anti-inflammatory Mø2 phenotype predominates and natural killer cells display abnormal activity in endometrium of women with the disease. Conflicting data largely derive from small studies, variably defined hormonal milieu and different experimental approaches and technologies.WIDER IMPLICATIONS: Phenotyping immune cell subtypes is essential to determine the role of the endometrial immune niche in pregnancy and endometrial homeostasis normally and in women with poor reproductive history and can facilitate development of innovative diagnostics and therapeutics for associated symptoms and compromised reproductive outcomes.

1 December 2019 in Fertility and Sterility
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Journal Article
Closed access
JVJúlia Vallvé-Juanico
Júlia Vallvé-Juanico
XSXavier Santamaria
Xavier Santamaria
KVKim Chi Vo
Kim Chi Vo
SHSahar Houshdaran
Sahar Houshdaran
LGLinda C. Giudice
Linda C. Giudice

16 August 2023 in Communications Biology
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Journal Article
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SMSally Mortlock
Sally Mortlock
SHSahar Houshdaran
Sahar Houshdaran
IKIdit Kosti
Idit Kosti
NRNilufer Rahmioglu
Nilufer Rahmioglu
CNCamran Nezhat
Camran Nezhat
LGLinda C. Giudice
Linda C. Giudice
Endometriosis is a leading cause of pain and infertility affecting millions of women globally. Herein, we characterize variation in DNA methylation (DNAm) and its association with menstrual cycle phase, endometriosis, and genetic variants through analysis of genotype data and methylation in endometrial samples from 984 deeply-phenotyped participants. We estimate that 15.4% of the variation in endometriosis is captured by DNAm and identify significant differences in DNAm profiles associated with stage III/IV endometriosis, endometriosis sub-phenotypes and menstrual cycle phase, including opening of the window for embryo implantation. Menstrual cycle phase was a major source of DNAm variation suggesting cellular and hormonally-driven changes across the cycle can regulate genes and pathways responsible for endometrial physiology and function. DNAm quantitative trait locus (mQTL) analysis identified 118,185 independent cis-mQTLs including 51 associated with risk of endometriosis, highlighting candidate genes contributing to disease risk. Our work provides functional evidence for epigenetic targets contributing to endometriosis risk and pathogenesis. Data generated serve as a valuable resource for understanding tissue-specific effects of methylation on endometrial biology in health and disease.

1 February 2017 in Fertility and Sterility
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Journal Article
Closed access
ICIrene Cervelló
Irene Cervelló
CGClaudia Gil-Sanchis
Claudia Gil-Sanchis
XSXavier Santamaría
Xavier Santamaría
AFAmparo Faus
Amparo Faus
JVJúlia Vallvé-Juanico
Júlia Vallvé-Juanico
CSCarlos Simon
Carlos Simon

30 November 2017 in Expert Review of Proteomics
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Journal Article
Closed access
EMElena Martinez-Garcia
Elena Martinez-Garcia
CLCarlos Lopez-Gil
Carlos Lopez-Gil
ICIrene Campoy
Irene Campoy
JVJúlia Vallvé-Juanico
Júlia Vallvé-Juanico
EREva Coll de la Rubia
Eva Coll de la Rubia
ECEva Colas
Eva Colas
Introduction: Endometrial cancer (EC) is the fourth most common cancer in women in developed countries. The identification of sensitive and specific biomarkers to improve early detection of EC is crucial for an appropriate management of this disease, in which 30% of patients are diagnosed only at advanced stages, which is associated with high levels of morbidity and mortality. Despite major efforts and investments made to identify EC biomarkers, no protein has yet reached the stage of clinical application. Areas covered: This review gathers the numerous candidate biomarkers for EC diagnosis proposed in proteomic studies published from 1978 to 2017. Additionally, we summarize limitations associated with the proteomic technologies and study designs employed in those articles. Finally, we address new perspectives in EC biomarker research, including the comprehensive knowledge of previously suggested candidate biomarkers in conjunction with novel mass spectrometry-based proteomic technologies with enhanced sensitivity and specificity not yet applied to EC studies and a directed clinical perspective in the study design. Expert commentary: These ingredients could be the recipe to accelerate the application of protein biomarkers in the clinic.

Verified
Journal Article
Open access
PDF file
SHSahar Houshdaran
Sahar Houshdaran
JCJoseph C. Chen
Joseph C. Chen
JVJúlia Vallvé-Juanico
Júlia Vallvé-Juanico
SBShayna Balayan
Shayna Balayan
KVKim Chi Vo
Kim Chi Vo
LGLinda C. Giudice
Linda C. Giudice
Progestins are widely used for the treatment of gynecologic disorders and alone, or combined with an estrogen, are used as contraceptives. While their potencies, efficacies and side effects vary due to differences in structures, doses and routes of administration, little is known about their effects on the endometrial transcriptome in the presence or absence of estrogen. Herein, we assessed the transcriptome and pathways induced by progesterone (P4) and the three most commonly used synthetic progestins, medroxyprogesterone acetate (MPA), levonorgestrel (LNG), and norethindrone acetate (NETA), on human endometrial stromal fibroblasts (eSF), key players in endometrial physiology and reproductive success. While there were similar transcriptional responses, each progestin induced unique genes and biofunctions, consistent with their structural similarities to progesterone (P4 and MPA) or testosterone (LNG and NETA), involving cellular proliferation, migration and invasion. Addition of estradiol (E2) to each progestin influenced the number of differentially expressed genes and biofunctions in P4 and MPA, while LNG and NETA signatures were more independent of E2. Together, these data suggest different mechanisms of action for different progestins, with progestin-specific altered signatures when combined with E2. Further investigation is warranted for a personalized approach in different gynecologic disorders, for contraception, and minimizing side effects associated with their use.