IL-27 as a potential biomarker for distinguishing between necrotising enterocolitis and highly suspected early-onset food protein-induced enterocolitis syndrome with abdominal gas signs

Abstract Background Drug-induced glaucoma (DIG) is a kind of serious adverse drug reaction that can cause irreversible blindness. Up-to-date, the molecular mechanism of DIG largely remains unclear yet due to the medical complexity of glaucoma onset. Methods In this study, we conducted data mining of tremendous historical adverse drug events and genome-wide drug-regulated gene signatures to identify glaucoma-associated drugs. Upon these drugs, we carried out serial network analyses, including the weighted gene co-expression network analysis (WGCNA), to illustrate the gene interaction network underlying DIG. Furthermore, we applied pathogenic risk assessment to discover potential biomarker genes for DIG. Results As the results, we discovered 13 highly glaucoma-associated drugs, a glaucoma-related gene network, and 55 glaucoma-susceptible genes. These genes likely played central roles in triggering DIGs via an integrative mechanism of phototransduction dysfunction, intracellular calcium homeostasis disruption, and retinal ganglion cell death. Further pathogenic risk analysis manifested that a panel of nine genes, particularly OTOF gene, could serve as potential biomarkers for early-onset DIG prognosis. Conclusions This study elucidates the possible molecular basis underlying DIGs systematically for the first time. It also provides prognosis clues for early-onset glaucoma and thus assists in designing better therapeutic regimens.

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A Potential Biomarker for Early Onset Alzheimer Disease Phenotypes: Deep Learning Derived Brain Age Determination

10.26226/morressier.5e8335ba7cb08a046ef7c624 ◽

2020 ◽

Author(s):

Morgan Gautherot

Keyword(s):

Deep Learning ◽

Alzheimer Disease ◽

Early Onset ◽

Age Determination ◽

Disease Phenotypes ◽

Potential Biomarker ◽

Brain Age

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Pilot study protocol for determining differences in quantitative and functional aspects of dendritic cell subsets in early onset pre-eclampsia patients- a feasibility study for identification of biomarker(s) and immunotherapeutic target(s)

10.21203/rs.3.rs-101183/v1 ◽

2020 ◽

Author(s):

Aarthi Sundararajan ◽

Kranti Vora ◽

Senthilkumar Natesan

Keyword(s):

Dendritic Cell ◽

Early Diagnosis ◽

Pregnant Women ◽

Study Protocol ◽

Early Onset ◽

Critical Role ◽

Migration And Invasion ◽

Inflammatory Disorder ◽

Immune Biomarkers ◽

Potential Biomarker

Abstract Background: Pre-eclampsia (PE) is a pregnancy associated pro-inflammatory disorder. The only known treatment is to deliver the placenta and fetus. PE is clinically identified by hypertension and proteinuria post-20th week of gestation. Early onset pre-eclampsia (EOPE), a severe form of PE is defined as when the clinical symptoms are observed before 34 weeks of gestation. There are no definite biomarkers available for early diagnosis of EOPE. Human dendritic cell (DC) subsets (CD1c+, CD141+ myeloid DCs and plasmacytoid DCs) are intricately involved with the process of inflammation and are significantly altered (quantitatively and functionally) in several proinflammatory disorders. These changes offer value for monitoring DC subsets as potential biomarker(s) and as targets for immunotherapeutic treatment. DC subsets play a critical role in normal pregnancy by mediating efficient migration and invasion of trophoblasts and maintaining anti-inflammatory environment of immunotolerance. In contrast, the status of DC subsets in the proinflammatory microenvironment of EOPE pregnancy requires thorough evaluation. In this direction, the designed study protocol aims to understand how DC subsets are altered (quantitatively and functionally) in EOPE patients, compared to normal pregnant women. Methods: Study protocol is designed to determine changes in the profile of DC subsets in the blood and decidua of EOPE patients by multiparametric flow cytometry approach. Normal pregnant women are included as controls.Discussion: Human DC subsets are altered both quantitatively and functionally in the pro-inflammatory microenvironment. EOPE is a pro-inflammatory disorder and changes in the composition and function of DC subsets in these patients, compared to normal pregnant women is unclear. In this study, the blood sample-based analysis will determine the feasibility for identification of DC subsets associated novel immune biomarkers for early diagnosis of EOPE. In addition, changes in the profile of DC subsets in the decidua of EOPE patients will determine the feasibility for developing novel immunotherapeutic strategies targeting distinct DC subsets or their products for the treatment of EOPE. Overall, the current study protocol and findings will help develop future large scale, prospective design clinical trials focussing on formulating strategies for early diagnosis and treatment of EOPE among pregnant women.

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Cowʼs-Milk Protein as a Specific Immunological Trigger of Necrotising Enterocolitis—or Food Protein–induced Enterocolitis Syndrome in Disguise?

Journal of Pediatric Gastroenterology and Nutrition ◽

10.1097/mpg.0b013e31826eea11 ◽

2013 ◽

Vol 56 (1) ◽

pp. 3-4 ◽

Cited By ~ 6

Author(s):

Simon H. Murch

Keyword(s):

Milk Protein ◽

Necrotising Enterocolitis ◽

Food Protein

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Cross‐sectional study reveals that HLA ‐C*07:02 is a potential biomarker of early onset/lesion severity of psoriasis

Experimental Dermatology ◽

10.1111/exd.14127 ◽

2020 ◽

Vol 29 (7) ◽

pp. 639-646

Author(s):

Junqin Li ◽

Xiaofang Li ◽

Fusheng He ◽

Xincheng Zhao ◽

Ruixia Hou ◽

...

Keyword(s):

Early Onset ◽

Cross Sectional Study ◽

Sectional Study ◽

Cross Sectional ◽

Potential Biomarker ◽

Lesion Severity

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mtDNA copy number associated with age of onset in familial amyloid polyneuropathy

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2017-316657 ◽

2017 ◽

Vol 89 (3) ◽

pp. 300-304 ◽

Cited By ~ 7

Author(s):

Diana Santos ◽

Maria João Santos ◽

Miguel Alves-Ferreira ◽

Teresa Coelho ◽

Jorge Sequeiros ◽

...

Keyword(s):

Early Onset ◽

Copy Number ◽

Age Of Onset ◽

Age At Onset ◽

Familial Amyloid Polyneuropathy ◽

Mtdna Copy Number ◽

Potential Biomarker ◽

Amyloid Polyneuropathy ◽

First Time

BackgroundTransthyretin-related familial amyloid polyneuropathy (TTR-FAP Val30Met) shows a wide variation in age-at-onset (AO) between generations and genders, as in Portuguese families, where women display a later onset and a larger anticipation (>10 years). Mitochondrial DNA (mtDNA) copy number was assessed to clarify whether it has a modifier effect on AO variability in Portuguese patients.MethodsThe mtDNA copy number of 262 samples (175 Val30Met TTR carriers and 87 controls (proven Val30Val)) was quantified by quantitative real-time PCR. Statistical analysis was performed using IBM SPSS V.23 software.ResultsThis study shows that Val30Met TTR carriers have a significantly higher (p<0.001) mean mtDNA copy number than controls. Furthermore, the highest mtDNA copy number mean was observed in early-onset patients (AO <40 years). Importantly, early-onset offspring showed a significant increase (p=0.002) in the mtDNA copy number, when compared with their late AO parents.ConclusionsThe present findings suggest, for the first time, that mtDNA copy number may be associated with earlier events and may therefore be further explored as a potential biomarker for follow-up of TTR-FAP Val30Met carriers.

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