Apolipoprotein A-IV as a novel gene associated with polycystic ovary syndrome

Kim, Yong Soo; Gu, Bon‐Hee; Choi, Bum Chae; Kim, Myung-Sun; Song, Seung-Hun; Yun, Ji-Hyun; Chung, Myung-Jin; Choi, Cheol-Hee; Baek, Kwang‐Hyun

doi:10.3892/ijmm.2013.1250

Cited by 24 publications

(25 citation statements)

References 51 publications

(54 reference statements)

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“…Embryo quality is associated with the presence and concentration of biomarkers in FF (Boxmeer et al., ; Hsieh, Zamah, & Conti, ; Kim et al., ). Therefore, the proteomic composition of FF from follicles can be used as an indicator of secretory activities and metabolism of follicular cells, which regulate follicle quality (Kim et al., ). Therefore, an in‐depth analysis of FF composition will likely provide a better understanding of folliculogenesis in the context of the developing microenvironment.…”

Section: Introductionmentioning

confidence: 99%

Proteomic profiling of follicle fluids after superstimulation in one‐month‐old lambs

Lin

Han

et al. 2017

Reprod Domestic Animals

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Follicular fluid (FF) accumulates in the antrum of the ovarian follicle. In addition, FF provides the microenvironment for oocyte development, oocyte maturation and competence, which are acquired during follicular development. Superstimulatory treatment of 1-month-old lambs can achieve synchronous development of numerous growing follicles. However, these growing follicles are unable to completely mature and ovulate. Furthermore, the oocytes exhibit lower competence compared with those of ewes. In this study, we utilized an isobaric tag for relative and absolute quantification (iTRAQ)-based proteomics analysis and compare protein composition between pre-pubertal and adult superstimulated follicle FF in sheep. In total, 243 differentially expressed proteins were identified, including 155 downregulated and 88 upregulated between lamb and ewe. Gene ontology (GO) and KEGG pathway analysis indicated that the differentially expressed proteins are involved in signal transduction, anatomical structure development, stress response, metabolic pathways, and the complement and coagulation cascades. Many of the proteins known to affect follicle development were observed in lower abundance in FF of lamb (e.g. ADAMTS9, CD14, CTNNB1, FST, GCLC, HSPG2, IGFBP2, IGFBP6, INHBA, PRL, PAPPA, POSTN, PRDX1, SERPINA1, SOD3, STC1, VEGFC, etc.). However, a higher abundance was observed for proteasome proteins. Inadequate amounts of these proteins in FF may be lead to the unique characteristics of follicular development in lamb. These differentially expressed proteins illuminate the age-dependent changes in protein expression in the follicle microenvironment.

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Section: Introductionmentioning

confidence: 99%

Proteomic profiling of follicle fluids after superstimulation in one‐month‐old lambs

Lin

Han

et al. 2017

Reprod Domestic Animals

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“…FF proteome, like serum or plasma is also complex and contains dynamic ranges of proteins, thereby necessitating the use of advanced techniques which employ a gel-free approach to identify large number of proteins. Until the advent of iTRAQ based comparative approach, a few researchers used 2DE combined with MALDI-TOF/MS or nano liquid chromatographytandem mass spectrometry (LC-MS/MS) to study the FF proteomes (204,205), and identified twenty differentially expressed proteins which are involved in lipid metabolism and inflammation in PCOS. Our group has employed iTRAQ-based quantitative proteomic approach to compare the proteome of FF from women with PCOS with that of control women (160).…”

Section: Samples Used For Proteomic Studies In Pcosmentioning

confidence: 99%

“…3-hydroxyisobutyrate dehydrogenase mithocondrial HIBADH Down (211,202) Serpin family A member 1 SERPINA1 Up (160,204) Aconitase 2, mitochondrial ACO2 Up (160,222) Albumin ALB Up (209) Albumin ALB Down (160,210) Aplha-1-B-glycoprotein A1BG Up (204,205) Aplha-1-B-glycoprotein A1BG Down (160) Alpha-enolase ENO1 Down (211,212) Annexin 5 ANXA5 Up (208,210) Apolipoprotein A1 APOA1 Up (160,204) Apolipoprotein A1 APOA1 Down (208,210,222) Apolipoprotein A4 precursor APOA4 Up (204,205) Apolipoprotein C1 APOC1 Up (200) Apolipoprotein C1 APOC1 Down (160) Cathepsin D CTSD Down (211,212) Cofilin 1 CFL1 Down (211,212) F-actin capping protein alpha-1 subunit CAPZA1 Down (211,212) Fibrinogen b chain precursor FGB Up (204) Fibrinogen gamma chain precursor FGG Up (205,222) Fibrinogen, alpha chain, isoform alpha preproprotein FGA Up…”

Section: Protein Name Gene Symbol Differential Regulation Referencesmentioning

confidence: 99%

Pathomechanisms of polycystic ovary syndrome Multidimensional approaches

2018

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Polycystic ovary syndrome is a complex endocrine disorder affecting numerous women of reproductive age across the globe. Characterized mainly by irregular menses, hirsutism, skewed LH: FSH ratios and bulky polycystic ovaries, this multifactorial endocrinopathy results in unfavorable reproductive and metabolic sequelae, including anovulatory infertility, type 2 diabetes, metabolic syndrome and cardiovascular disease in later years. Increasing evidence has shown that the manifestation of polycystic ovary syndrome (PCOS) is attributable to a cumulative impact of altered genetic, epigenetic and protein profiles which bring about a systemic dysfunction. While genetic approaches help ascertain role of causal variants in its etiology, tissue-specific epigenetic patterns help in deciphering the auxiliary role of environmental, nutritional and behavioral factors. Proteomics is advantageous, linking both genotype and phenotype and contributing to biomarker discovery. Investigating molecular mechanism underlying PCOS is imperative in order to gain insight into the pathophysiology of PCOS and formulate novel diagnostic and treatment strategies. In this review we have summarized these three aspects, which have been successfully utilized to delineate the pathomechanisms of PCOS.

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“…The present study focused on the ApoE gene promoter region and coding region to investigate the relationships between polymorphic loci and antidepressant efficacy. Apolipoprotein A4 (ApoA4) is another protein involved in lipid metabolic regulation, and has been shown to activate lecithin-cholesterol acyltransferase and cholesterylester transfer protein [24]. Data-driven analysis showed that ApoA4 has very high accuracy for discriminating individuals with remitted late-life depression (LLD) compared to never-depressed control participants [25].…”

Section: Introductionmentioning

confidence: 99%

Influence of genetic polymorphisms in homocysteine and lipid metabolism systems on antidepressant drug response

Yuan

Sun

et al. 2020

Preprint

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Background Chronic lesions of small blood vessels and capillaries may play a role in the pathogenesis of depression. As the genes associated with these vascular risk factors may be involved in depression, these genetic polymorphisms may affect the efficacy of antidepressants. This study was performed to investigate the roles of methylenetetrahydrofolate reductase (MTHFR), apolipoprotein E (ApoE), and apolipoprotein A4 (ApoA4) genetic polymorphisms in antidepressant response in depressive patients.Methods A total of 281 Han Chinese patients received a single antidepressant drug for at least 6 weeks. The Hamilton Depression Rating Scale (HAMD-17) was used to evaluate the severity of depressive symptoms and the therapeutic effects of the drug administered. Eight single nucleotide polymorphisms (SNPs) of MTHFR, ApoE, and ApoA4 genes were detected using gene chips. Differences in clinical variables between the responders and non-responders, as well as between remission and non-remission groups, were examined using the independent samples t test and Pearson’s χ 2 test. In addition, the associations of single loci and haplotypes with treatment response were analyzed.Results Among the eight SNPs in four genes, two SNPs (ApoA4 rs5101 and rs675) were eliminated as they had a MAF < 5%.Haplotype(C-A) in MTHFR (rsl801133 and rs1801131) was significantly associated with better antidepressant response in the 8-week antidepressant group overall ( P = 0.0007), and in the male subgroup ( P = 0.003), and serotonin norepinephrine reuptake inhibitor (SNRI) subgroup ( P = 0.001). The ApoE rs405509 C allele was significantly associated with poorer antidepressant response in the 6-week male subgroup ( P = 0.004), while the 405509 AA genotype was associated with better antidepressant efficacy in the 6-week antidepressant group overall ( P = 0.006) and male subgroup ( P = 0.002).Conclusions Genetic polymorphisms of MTHFR, ApoE, and ApoA4 may be associated with the efficacy of antidepressants, in which the haplotype (rs1801131-rs1801133) A–C type was associated with better antidepressant efficacy, especially in males and in patients using SNRIs. The efficacy of antidepressants may be better in ApoE rs405509 A allele and AA genotype carriers, but worse in ApoA4 rs5092 G allele and GG genotype carriers.

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Apolipoprotein A-IV as a novel gene associated with polycystic ovary syndrome

Cited by 24 publications

References 51 publications

Proteomic profiling of follicle fluids after superstimulation in one‐month‐old lambs

Proteomic profiling of follicle fluids after superstimulation in one‐month‐old lambs

Pathomechanisms of polycystic ovary syndrome Multidimensional approaches

Influence of genetic polymorphisms in homocysteine and lipid metabolism systems on antidepressant drug response

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