Reducing maternal mortality: can elabela help in this fight?

Amplifiable protein identification via residue-resolved barcoding and composition code counting

Ultrasensitive protein identification is of paramount importance in basic research and clinical diagnostics but remains extremely challenging. A key bottleneck in preventing single-molecule protein sequencing is that, unlike the revolutionary nucleic acid sequencing methods that rely on the polymerase chain reaction (PCR) to amplify DNA and RNA molecules, protein molecules cannot be directly amplified. Decoding the proteins via amplification of certain fingerprints rather than the intact protein sequence thus represents an appealing alternative choice to address this formidable challenge. Herein, we report a proof-of-concept method that relies on residue-resolved DNA barcoding and composition code counting for amplifiable protein fingerprinting (AmproCode). In AmproCode, selective types of residues on peptides or proteins are chemically labeled with a DNA barcode, which can be amplified and quantified via quantitative PCR. The operation generates a relative ratio as the residue-resolved 'composition code' for each target protein that can be utilized as the fingerprint to determine its identity from the proteome database. We developed a database searching algorithm and applied it to assess the coverage of the whole proteome and secretome via computational simulations, proving the theoretical feasibility of AmproCode. We then designed the residue-specific DNA barcoding and amplification workflow, and identified different synthetic model peptides found in the secretome at as low as the fmol/L level for demonstration. These results build the foundation for an unprecedented amplifiable protein fingerprinting method. We believe that, in the future, AmproCode could ultimately realize single-molecule amplifiable identification of trace complex samples without further purification, and it may open a new avenue in the development of next-generation protein sequencing techniques.

Elevated Placental microRNA-155 Is a Biomarker of a Preeclamptic Subtype

BACKGROUND

Preeclampsia is a complicated syndrome with marked heterogeneity. The biomarker-based classification for this syndrome is more constructive to the targeted prevention and treatment of preeclampsia. It has been reported that preeclamptic patients had elevated microRNA-155 (miR-155) in placentas or circulation. Here, we investigated the characteristics of patients with high placental miR-155 (pl-miR-155).

METHODS

Based on the 95th percentile (P95) of pl-miR-155 in controls, preeclamptic patients were divided into high miR-155 group (≥P95) and normal miR-155 group (<P95). The changes of placental pathology, clinical manifestations, and placental transcriptome of preeclamptic patients were clustered by t-distributed stochastic neighbor embedding and hierarchical clustering analysis. The placental restricted miR-155 overexpression mouse model was constructed, and the phenotype, placental pathology, and transcriptome were evaluated. Furthermore, the therapeutic potential of antagonist of miR-155 was explored by administrating with antagomir-155.

RESULTS

About one-third of preeclamptic patients had high pl-miR-155 expression, which was positively correlated with circulating miR-155 levels. These patients could be clustered as 1 group, according to clinical manifestation, placental pathology, or transcriptomes by t-distributed stochastic neighbor embedding and hierarchical clustering analysis. Further, the pregnant mice with placental restricted miR-155 overexpression could simulate the changes of clinical signs, pathology, and transcriptome of placentas in patients with high pl-miR-155. AntagomiR-155 treatment relieved the preeclampsia-like phenotype and improved the placental vascular development in mice.

CONCLUSIONS

There is at least 1 type of preeclampsia with upregulated miR-155 presenting more severe clinical manifestations. MiR-155 may be a potential therapeutic target in patients with high pl-miR-155.

Maternal circulating concentrations of soluble Fas and Elabela in early- and late-onset preeclampsia

OBJECTIVE

The Fas/Fas ligand (FASL) system and Elabela-apelin receptor signaling pathways are implicated in the pathophysiology of preeclampsia. The aim of the current study was to investigate whether a model combining the measurement of sFas and Elabela in the maternal circulation may serve as a clinical biomarker for early- and/or late-onset preeclampsia more effectively than measures of each biomarker individually.

METHODS

Blood samples were collected from 214 women in the following groups: (1) normal pregnancy sampled <34 weeks of gestation (n = 56); (2) patients who developed early-onset preeclampsia (n = 54); (3) normal pregnancy sampled ≥34 weeks of gestation (n = 52); (4) patients who developed late-onset preeclampsia (n = 52). Maternal circulating soluble Fas and Elabela concentrations were determined using sensitive and validated immunoassays. Two sample t-tests, multivariate logistic regression, and receiver operating characteristic curves were used for analyses.

RESULTS

(1) Women with early-onset preeclampsia, and those with late-onset preeclampsia with placental lesions of maternal vascular malperfusion, had increased concentrations of sFas compared to their gestational age-matched normal controls; (2) women with late-onset preeclampsia, but not those with early-onset preeclampsia, had increased concentrations of Elabela compared to their gestational age-matched counterparts; and (3) an increase in both Elabela and sFas concentrations was more strongly associated with late-onset preeclampsia than early-onset preeclampsia relative to models including either of the markers alone.

CONCLUSIONS

A combined model of maternal sFas and Elabela concentrations provides a stronger association with late-onset preeclampsia than either protein alone. This finding demonstrates the possibility to improve the classification of late-onset preeclampsia by combining the results of both molecular biomarkers.

Serum lncRNAs in early pregnancy as potential biomarkers for the prediction of pregnancy-induced hypertension, including preeclampsia

Long noncoding RNAs (lncRNAs) are key mediators of biological regulation with diagnostic value as disease biomarkers. We explored serum lncRNA levels in early pregnancy as potential biomarkers of pregnancy-induced hypertension (PIH), including gestational hypertension (GH) and preeclampsia (PE). We performed a two-phase nested case-control study in pregnant women before 20 weeks’ gestation (before clinical diagnosis). The screening phase assessed lncRNA expression profiles with a human lncRNA microarray in 5 pairs of serum samples (5 PE patients and 5 matched controls). The second phase validated levels of 8 candidate lncRNAs selected via the random walk method by quantitative real-time polymerase chain reaction (qRT-PCR). Serum levels of the 8 lncRNAs were markedly increased in women with PIH compared with matched normotensive pregnant (NP) women (p < 0.001), consistent with the microarray results. In addition, 7 candidate lncRNAs were correlated with PIH severity. Logistic regression analysis revealed that serum levels of ENST00000527727 (odds ratio [OR], 1.113; 95% confidence interval [CI], 1.024–1.209; p = 0.0113) and ENST00000415029 (OR, 1.126; 95% CI, 1.000–1.267; p = 0.0496) were associated with adverse pregnancy outcomes, such as fetal growth restriction (FGR) and placenta accreta of PIH. Nine pathways associated with the candidate lncRNAs had confirmed associations with PIH.

ELABELA alleviates syncytiotrophoblast hypoxia/reoxygenation injury and preeclampsia-like symptoms in mice by reducing apoptosis

INTRODUCTION

Preeclampsia (PE) is associated with increased syncytiotrophoblast apoptosis. ELABELA (ELA) is a circulating hormone secreted by the placenta. Here, we investigated the involvement of ELA in the pathogenesis of PE.

METHODS

We measured ELA expression in the placental villi of patients with severe PE and healthy controls. A cellular model of hypoxia and reoxygenation was used to simulate PE hypoxia, and changes in the proliferation and apoptosis of trophoblasts in response to different ELA concentrations were measured. In addition, we used NG-nitro-l-arginine methyl ester (l-NAME) to generate a mouse model of pregnancy-induced hypertension and explore whether ELA can improve the symptoms of PE.

RESULTS

ELA expression was decreased in severe PE. ELA promoted the proliferation of BeWo cells and improved the decreased cell proliferation rate after hypoxia/reoxygenation injury. ELA reversed the phenotypes of l-NAME-induced PE mice and regulated the expression of mouse placental apoptosis factors.

DISCUSSION

ELA reduced apoptosis in BeWo cells and improved PE-like symptoms in mice, suggesting its value as a potential novel treatment for PE.

Elabela may regulate SIRT3-mediated inhibition of oxidative stress through Foxo3a deacetylation preventing diabetic-induced myocardial injury

Diabetic cardiomyopathy—pathophysiological heart remodelling and dysfunction that occurs in absence of coronary artery disease, hypertension and/or valvular heart disease—is a common diabetic complication. Elabela, a new peptide that acts via Apelin receptor, has similar functions as Apelin, providing beneficial effects on body fluid homeostasis, cardiovascular health and renal insufficiency, as well as potentially beneficial effects on metabolism and diabetes. In this study, Elabela treatment was found to have profound protective effects against diabetes‐induced cardiac oxidative stress, inflammation, fibrosis and apoptosis; these protective effects may depend heavily upon SIRT3‐mediated Foxo3a deacetylation. Our findings provide evidence that Elabela has cardioprotective effects for the first time in the diabetic model.

Circulating levels of Elabela and Apelin in the second and third trimesters of pregnancies with gestational diabetes mellitus

We design this study to detect levels of Elabela (ELA) and Apelin (APLN) in women with and without gestational diabetes mellitus (GDM) in the second and third trimesters, and to identify whether there is any association between ELA, APLN, and metabolic parameters. Seventy-nine GDM and 80 control subjects in the second trimester and 87 GDM and 88 healthy subjects in the third trimester were included. In the second trimester, lower ELA levels [(14.1 versus 16.9) ng/ml, p = .025] and higher APLN levels [(1021.8 versus 923.5) pg/ml, p = .046] were observed in GDM patients compared to controls. ELA levels were positively correlated with fasting plasma glucose (FPG) (r = 0.423, p < .001) in the control group, and APLN levels were negatively correlated with triglycerides (TG) (r = -0.251, p = .025) in the control group and total cholesterol (TC) (r = -0.227, p = .044) in the GDM group. ELA appeared to be related to glucose metabolism and APLN is involved in lipid metabolism during pregnancy. The expression of ELA is significantly downregulated from the second trimester to the third trimester.