Serum anti-PDIK1L autoantibody as a novel marker for endometriosis

Nabeta, Motowo; Abe, Yasuhito; Haraguchi, Ryuma; Kito, Katsumi; Kusanagi, Yasuki; M, Ito

doi:10.1016/j.fertnstert.2010.03.008

Cited by 22 publications

(11 citation statements)

References 26 publications

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“…Likewise, specific antibodies against carbonic anhydrase, transferrin, α 2-HS glycoprotein, lipid peroxide modified rabbit serum albumin, copper oxidized low-density lipoprotein and malondialdehyde-modified low-density lipoprotein, laminin-I, and cardiolipin have shown promise as potential endometriosis biomarkers [ 23 ]. Additionally, serum anti-PDIK1L [ 77 ] and anti-syntaxin 5 autoantibodies [ 78 ] were reported elevated in endometriosis patients. In patients with ovarian endometrioma, autoantibodies against Insulin-like growth factor 2 mRNA-binding protein 1 (IMP1) were significantly higher than in healthy controls [ 79 ].…”

Section: Blood Biomarkersmentioning

confidence: 99%

Update on Biomarkers for the Detection of Endometriosis

Fassbender

Burney

et al. 2015

BioMed Research International

153

129

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Endometriosis is histologically characterized by the displacement of endometrial tissue to extrauterine locations including the pelvic peritoneum, ovaries, and bowel. An important cause of infertility and pelvic pain, the individual and global socioeconomic burden of endometriosis is significant. Laparoscopy remains the gold standard for the diagnosis of the condition. However, the invasive nature of surgery, coupled with the lack of a laboratory biomarker for the disease, results in a mean latency of 7–11 years from onset of symptoms to definitive diagnosis. Unfortunately, the delay in diagnosis may have significant consequences in terms of disease progression. The discovery of a sufficiently sensitive and specific biomarker for the nonsurgical detection of endometriosis promises earlier diagnosis and prevention of deleterious sequelae and represents a clear research priority. In this review, we describe and discuss the current status of biomarkers of endometriosis in plasma, urine, and endometrium.

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Section: Blood Biomarkersmentioning

confidence: 99%

Update on Biomarkers for the Detection of Endometriosis

Fassbender

Burney

et al. 2015

BioMed Research International

153

129

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“…CA 125 is raised in endometriosis through stimulation of coelomic epithelia and is the most investigated non‐invasive diagnosis marker. Individual studies have methodological limitations in patient selection, poor conduct of the index test, and poor conduct of the reference test . Two diagnostic reviews exist; however, the first is over 15 years old and includes studies with high risk of verification bias and the second is of poor methodological quality …”

Section: Introductionmentioning

confidence: 99%

Diagnostic accuracy of cancer antigen 125 for endometriosis: a systematic review and meta‐analysis

Hirsch

Duffy

Davis

et al. 2016

BJOG

107

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“…For a better insight into the pathophysiology of endometriosis various approaches such as genomic , epigenetic , transcriptomic , and proteomic (Table ), have been used to compare eutopic/ectopic endometrium/biological fluids, both from the normal women and women with endometriosis. In this review, we would attempt to collate in brief the various proteomic approaches used so far and discuss in detail, the proteomic studies done till date on the eutopic endometrium to understand the etiology of endometriosis.…”

Section: Etiology Of Endometriosismentioning

confidence: 99%

“…Serum has been the one of the most popular biological specimen other than the eutopic endometrium to be analyzed from patients with endometriosis; probably because it is the least noninvasive sample available for biomarker discoveries . Several techniques have been utilized for analysis of the serum by MS; namely protein‐chip‐array, 2D‐PAGE, 2D‐DIGE, etc.…”

Section: Proteomic Approaches In Endometriosis Researchmentioning

confidence: 99%

Understanding the pathogenesis of endometriosis through proteomics: Recent advances and future prospects

Srivastava

Shivaji

2013

Proteomics Clinical Apps

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Endometriosis is a complex gynecological disease, characterized by the presence and growth of endometrial tissue outside the uterus, resulting in pelvic pain and infertility. It occurs in 10% of women in their reproductive age. The viable endometrial cells enter the peritoneal cavity by retrograde menstruation, implant, and cause lesions ectopically; depending on their ability to survive, attach, grow, and invade. These "normal" endometrial cells turn "endometriotic" apparently because of inherent abnormalities present in them. Information on these molecular abnormalities is now being sought through proteomic approaches. Recent proteome-based comparisons between the eutopic endometrium from normal women and patients with endometriosis have revealed several proteins (many of which are shown to have a role in several cancers), of which a few have been validated as potential players in the etiology of endometriosis. After an initial in-flow of information from these proteome studies of eutopic endometrium, focus now needs to be expanded to the changes in the various protein PTMs and their upstream effectors present in these tissues. Early diagnosis of endometriosis through noninvasive means is the need of the hour as well-which would require the use of the presently existing immunoassays, along with the advancing MS-based proteomics. In this review, we aim to discuss these future thrust areas of human endometriosis proteomics and also present the proteomic advances made so far in understanding the molecular basis of endometriosis.

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Serum anti-PDIK1L autoantibody as a novel marker for endometriosis

Cited by 22 publications

References 26 publications

Update on Biomarkers for the Detection of Endometriosis

Update on Biomarkers for the Detection of Endometriosis

Diagnostic accuracy of cancer antigen 125 for endometriosis: a systematic review and meta‐analysis

Understanding the pathogenesis of endometriosis through proteomics: Recent advances and future prospects

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