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Role and predictive value of microRNAs 204 and 210 in the diagnosis of pulmonary arterial hypertension and the distinction between idiopathic, systemic sclerosis, and schistosomiasis-associated pulmonary arterial hypertension

Abstract

Background

Pulmonary arterial hypertension is most of the time diagnosed late in the course of the disease and necessitates right cardiac catheterization which is an invasive and costly tool. MicroRNAs have a role in the pathogenesis of pulmonary hypertension, systemic sclerosis, and schistosomiasis and their dosages are easy and non-expensive. Therefore, determining their levels in the blood may be helpful in detecting PAH and differentiating its idiopathic form from those caused by systemic sclerosis and schistosomiasis.

Purpose of the study

To evaluate the role of microRNA (miR) 204 and miR-210 in the diagnosis of PAH and to distinguish between idiopathic PAH (IPAH), systemic sclerosis-associated PAH (SSc-PAH), and schistosomiasis-associated PAH (Sch-PAH) and to identify patients who may benefit from simple non-expensive and non-invasive methods in diagnosis of PAH.

Methods

Sixty patients with PAH and 30 subjects as control were enrolled in the study. PAH was diagnosed by right heart catheterization, echocardiography, and laboratory tests. Blood samples were taken from all patients for measuring miR-204 and miR-210.

Results

MiR-204 was downregulated in PAH and there was a highly significant difference between PAH and control (p = 0.003) with cut-off predictive value ≤ 0.15 µM and 70% sensitivity, 85% specificity with AUC (0.749). However, miR-204 failed to distinguish between IPAH, SSc-PAH, and Sch-PAH. MiR-210 was upregulated in PAH with a highly significant difference between PAH and control (p < 0.001) with cut-off predictive value ≥ 1.16 µM and 93.33% sensitivity, 85% specificity with AUC (0.917). MiiR-210 showed a significant difference between SSc-PAH and idiopathic PAH (P = 0.012) and between SSc-PAH and Sch-PAH (P = 0.035).

Conclusions

MiR-204 and miR-210 are useful non-invasive and non-expensive markers for the diagnosis of PAH, miR-210 is an excellent predictor in the diagnosis of PAH and also miR-210 might be used to distinguish SSc-PAH from idiopathic PAH and Sch-PAH.

Background

Pulmonary hypertension (PH) is a complicated disease. PH is divided into types according to The World Health Organization (WHO) [1]. Nowadays, the diagnosis of PH is more easily compared to the past [2, 3].

Criteria for diagnosing PAH are mean pulmonary artery pressure (mPAP) > 20 mmHg at rest with pulmonary capillary wedge pressure (PCWP) ≤ 15 mmHg and pulmonary vascular pressure (PVR) > 2 Wood units (WU) [4].

Despite the significant progress in the diagnosis and treatment of PAH, mortality is still high, mainly in cases of terminal stages of the disease (WHO Group IV) [1, 5]. PAH affects the lung with many types of pulmonary artery cells, such as pulmonary artery endothelial cells (PAECs), pulmonary artery smooth muscle cells (PASMCs), and pulmonary artery adventitious fibroblasts (PAAFs) [6].

Idiopathic PAH (IPAH) is a rare disease with a poor prognosis with a mortality rate of around 50% within 5 years [7]. IPAH is characterized by progressively increased mPAP and PVR and there is no specific treatment till now [8]. IPAH leads to a decrease in cardiac output due to affection of the pulmonary circulation which leads to constriction of the blood vessels of the lungs. Vasoconstriction, vascular remodeling, and thrombosis lead to an increase in the PVR and this leads to remodeling of the pulmonary vessels and PH. The right ventricular systolic pressure is elevated to overcome the increased PVR in order to maintain the cardiac output [9].

Systemic sclerosis complex (SSc) is a complex disease that is characterized by skin involvement with the involvement of another organ, especially the lungs and the heart [10].

SSc is associated with increased morbidity and mortality. One of the life-threatening complications is PAH. The incidence of PAH in SSc is nearly 5 to 15 cases per million and is more common in women than men [11]. PAH’s prevalence in SSc is around 7% to 19% and is responsible for about 30% of death [12]. In patients with SSc-PAH, the symptoms are usually non-specific (dyspnea, exercise intolerance, and fatigue), and due to that, the diagnosis is unfortunately in the late stages of the disease with poor outcome [13].

Schistosoma-associated pulmonary arterial hypertension (Sch-PAH) is a serious complication of chronic schistosomiasis infection, with a poor prognosis and high mortality [14].

Schistosomiasis affects more than 230 million people in the world, where 10% develop hepatosplenic disease [15]. Of these, 5% may have PAH. Current studies assume that Sch-PAH is likely to result from a combination of several factors such as egg embolization into the lung through portosystemic shunts and this leads to the development of PAH. Eggs might result in either direct mechanical obstruction or activation of an immune response with vascular remodeling [16].

Early diagnosis of PH is difficult because signs are non-specific. Dyspnea on exertion is the commonest symptom but is usually neglected with the appearance of more symptoms such as syncope or chest pain in the late stages of the disease. As a result, there is a delay of more than 2.8 years with worsening symptoms of PH [17]. Approximately 75% of patients with PH have advanced symptoms at diagnosis with significant pulmonary vascular remodeling and right ventricular failure. Nowadays, the best tool in the diagnosis of PH is right heart catheterization but because it is an invasive tool, there is a need to develop new non-invasive diagnostic tools, such as biomarkers to avoid the hazards and costs of RHC [18].

Several factors are reported to be related to the pathogenesis of PH such as miRNAs which were considered to have an important role in the pathogenesis of PH. miRNAs are small endogenous non-coding RNA molecules of ~ 21 to 25 nt [19, 20]. A single miRNA can regulate hundreds of proteins or genes, and multiple miRNAs can regulate one protein [20].

Nowadays it has been assumed that many miRNAs have a vital role in PAH. In addition, miRNAs could be detected in blood samples and analyzed by polymerase chain reaction test (PCR) [21]. This provides an easy and inexpensive method for the diagnosis of PAH [22]. So, miRNAs may be used as a good biomarker for the diagnosis of PAH [23].

MiRNAs have a role in several biological processes like cell survival, proliferation, and differentiation [24]. The miRNAs are transcribed and processed into various primary miRNAs (pri-miRNAs), which are then converted into miRNAs before leaving the nucleus and processed into mature miRNAs. It is then incorporated into the RNA-induced silencing complex (RISC) and binds to the 3′ untranslated region of the mRNA, resulting in degradation of the mRNA or inhibition of its translation [25], causing a decrease in the expression of the target gene. Nearly 1000 miRNAs can regulate more than 30% of human genes [26]. Circulating miRNAs can be used as biomarkers for the diagnosis of many cardiovascular diseases. Identifying the molecular pathways provides a molecular basis for the imbalance between a hyperproliferative and apoptosis-resistant phenotype, mainly in the three major pulmonary artery cells involved, including PAEC, PASMC, and PAAF [27].

Purpose of the study

  • To evaluate the usefulness of miR-204 and miR-210 in the diagnosis of PAH.

  • To evaluate the role of miR-204 and miR-210 in the differentiation between IPAH, SSc-PAH, Sch-PAH

  • To find an alternative non-invasive and inexpensive tool to diagnose PAH.

Methods

Ninety subjects were included in the study. The subjects were divided into 2 groups:

  1. 1-

    Sixty patients diagnosed with PAH with age range from 20 to 62 years, 20 males, 40 females

  2. 2-

    Thirty apparently healthy volunteers as controls with age range from 22 to 60 years, 16 males, 14 females

    All patients were documented to have PAH by RHC. We excluded patients with uncertain diagnoses, patients with end-stage PH, and patients with malignancy or any other systemic diseases.

All the studied groups were subjected to the following:

  1. 1.

    Full medical history taking with special emphasis on symptoms of PH, drug intake, and family history of PH.

  2. 2.

    Full clinical examination including cardiac and chest examination.

  3. 3.

    Right heart catheterization

    RHC was done to diagnose patients with PAH. A pulmonary artery catheter was introduced to the superior vena cava, right atrium (RA), right ventricle (RV), and pulmonary artery (PA) by qualified operators with patients in the supine position after proper catheter calibration. Pressure waveforms from the RA, PA, and pulmonary capillary wedge pressure (PCWP) positions were measured at end-expiration. Patients considered to present PAH had a mPAP > 20 mmHg, PCWP ≤ 15 mmHg, and a PVR > 2 Wood units in the absence of other causes of precapillary PH like lung diseases, CTEPH.

  4. 4.

    Transthoracic echocardiography

    Transthoracic echocardiography by using the Acuson Siemens machine was performed in the left lateral decubitus position in all patients.

    Left side assessment included the following:

    • LV, LA dimensions, and functions

    • Regional wall motions.

    • Valvular lesions.

    • Congenital abnormalities.

    The right-sided assessment included the following:

    • RV, RA dimensions and functions.

    • TV velocity and right ventricle systolic pressure (RVSP).

    • Inferior vena cava (IVC) diameter and collapsibility.

  5. 5.

    Chest X-ray

    Plain chest X-ray was done as a work-up to rule out group 3 PH.

  6. 6.

    CT chest

    Non-contrast high-resolution CT chest was done as a workup to rule out group 3 PH.

  7. 7.

    Abdominal U/S was done to diagnose schistosomiasis

  8. 8.

    Laboratory tests

    • A blood sample of 10 mL was taken from each subject then divided, processed, and stored according to the protocol of each test. MiRNAs were extracted from plasma according to the serum/plasma miReasy kit protocol, catalog number: 217,184 (Qiagen, Hilden, Germany). All isolated miRNA was quantified using NanoDrop 1000 (Nanodrop, Wilmington, DE, USA). After the extraction of miRNA, cDNA synthesis was performed using miScript II Reverse Transcription Kit (Qiagen, Germany) catalog number: 218161 by adding 4 µl of miscript HiSpec buffer with 2 µl of 10 × miscript Nucleics Mix, 7 µl of nuclease-free water, 2 µl of miScript II Reverse Transcription mix, and 5 µl of the isolated miRNA. The resulting double-stranded (ds) cDNA was a template for an in vitro transcription (IVT) reaction by using SYBER Green PCR Kit catalog no. 218073, by adding 12.5 µl master mix, 2.5 µl universal primer, 2.5 µl primer assay, 4.5 µl nuclease-free water and 3 µl of cDNA. Real-time Quantitative PCR was performed using the Rotor gene Q Real-Time PCR System (Qiagen, Valencia, CA, USA). The relative expression levels of miR-204 and miR-210 were calculated and normalized to miR-16 (Applied Biosystems, Foster City, CA, USA) using 2−ΔΔct method [28]. MiR-16 was used as a standard miRNA to compare expression levels of other miRNAs in serum. The CT is defined as the PCR cycle at which the fluorescent signal of the reporter dye crosses an arbitrarily placed threshold [29].

    • Stool analysis, urine analysis, and serological testing were done to diagnose schistosomiasis.

    • Antinuclear antibody (ANA) and anti-topoisomerase (Scl-70) antibody testing were done to diagnose SSc.

Statistical analysis

SPSS version 18.0 for Windows from SPSS, Inc. IL, USA, was used for data entry and analysis. Qualitative data presented by numbers and percentages was assessed by using chi-square. Continuous data were expressed as mean and standard deviation. We compared between two means by using t-test and more than two means were assessed by using ANOVA. Mann–Whitney test was used when data are not normally distributed and used for comparing two or more independent samples.

Receiver-operating characteristic (ROC) analysis was used to obtain the area under the curve (AUC) and the corresponding 95% CI. The maximum cut-off point was measured which corresponds to the highest Youden index for each biomarker. The AUC for each significant biomarker was assessed by using the ROC curve. The sensitivity, specificity, positive predictive values (PPV), and negative predictive values (NPV) were calculated for the identified cut-off points for each biomarker. P value < 0.05 is considered significant and < 0.01 is considered highly significant.

Results

Sixty patients with PAH and 30 apparently healthy controls were included in the study.

  • In comparison between the PAH group and controls as regards age, sex, and body mass index (BMI), there was no significant difference (Tables 1 and 2).

  • Plasma expression of miR-204 is downregulated in patients with PAH with a highly significant difference between PAH and control (P = 0.003) while plasma expression of miR-210 was upregulated in patients with PAH with a highly significant difference between PAH and control (P < 0.001) (Table 3, Figs. 1 and 2).

  • ROC curve was done in order to evaluate the predictive value of miR-204 and miR-210 in the diagnosis of PAH. The cut-off predictive value of miR-204 was ≤ 0.15 µM with 70% sensitivity, and 85% specificity with AUC (0.749). The cut-off predictive value of miR-210 was ≥ 1.16 µM with 93.33% sensitivity and 85% specificity with AUC (0.917). These values showed that the miR-210 has excellent performance for prediction of PAH (Table 4, Fig. 3).

  • In the comparison between IPAH, SSc-PAH, and Sch-PAH regarding RHC, echocardiographic, and clinical parameters, we found that there was no significant difference between the 3 diseases (Table 5).

  • In the comparison between IPAH, SSc-PAH, and Sch-PAH regarding miR-204, we found that miR-204 could not differentiate between the 3 diseases (p = 0.263) while regarding miR-210 there was a statistically significant difference between SSc-PAH and IPAH (P = 0.012) and between SSc-PAH and Sch-PAH (p = 0.035) (Table 6, Fig. 4).

Table 1 Comparison between the PAH group and controls regarding age, sex, and BMI
Table 2 Descriptive statistics of clinical, echocardiographic, and RHC findings in PAH patients
Table 3 Comparison between the PAH group and controls regarding miR-204 and miR 210
Fig. 1
figure 1

Comparison between the PAH group and controls regarding miR-204

Fig. 2
figure 2

Comparison between the PAH group and controls regarding miR-210

Table 4 Predictive values of miR-204 and miR-210 in PAH
Fig. 3
figure 3

ROC of Predictive value of miR-204 and miR-210 in PAH

Table 5 Comparison between IPAH, SSc-PAH, and Sch-PAH regarding RHC, echocardiographic and clinical parameters
Table 6 Comparison between IPAH, SSc-PAH, and Sch-PAH regarding miR-204 and miR-210
Fig. 4
figure 4

Comparison between IPAH, SSc-PAH, and Sch-PAH regarding miR-210

Discussion

PAH is a rare but progressive cardiopulmonary disease characterized by elevated PVR due to pulmonary vasoconstriction and pulmonary vascular remodeling which finally leads to right heart failure and death. To date, the RHC remains the best diagnostic method for the diagnosis of PH. However, it is an invasive and expensive procedure for patients with PH. Therefore, the development of a non-invasive and less expensive method may be important for the diagnosis of PH [30].

Nowadays some markers are used to diagnose PH like brain natriuretic peptide (BNP) and N-terminal pro-B-type natriuretic peptide (NT-proBNP) but they could not be of significant value in the early stages of the disease. MiRNAs are non-coding, small RNA molecules circulating in blood, tissues, and plasma. They are dysregulated in PAH and play an important role in the disease progress [31]. It has been assumed that many miRNAs play a vital role in PAH. In addition, miRNAs could be detected in blood samples and analyzed by PCR [21]. This provides an easy and inexpensive diagnostic method [22]. So, miRNAs may be used as a good biomarker for the diagnosis of PAH [23].

In our study, we studied two miRNAs (204 and 210) that might be potential biomarkers in the diagnosis of patients with PAH.

We found that miR-204 was downregulated in patients with PAH with a highly significant difference between PAH and control (P = 0.003) so it might be a useful tool to diagnose patients with PAH.

Also, we found that miR-204 with a cut-off value ≤ 0.15 µM might help in early diagnosis patients with PAH with 70% sensitivity, 85% specificity, and AUC (0.749).

Several studies were performed and showed that miR- 204 was downregulated in patients with PH where platelet-derived growth factor (PDGF), endothelin-1, and angiotensin II can reduce the expression of miR-204, accelerate proliferation, and lead to resistance to apoptosis through the activation of the signal transducer and activator of transcription 3-T cell nuclear factor (STAT-NFAT) pathway via upregulation of tyrosine-protein phosphatase 2 (SHP2) protein, hypoxia-inducible factor 1-alpha (HIF-1α) and Runt-related transcription factor 2 gene (RUNX2) in PASMCs which leads finally to PASMC proliferation and higher resistance to apoptosis [32,33,34].

Liu et al. found that decreased expression of miR-204 by hypoxia in a rat model of chronic hypoxia and human PAECs played a dichotomous role in promoting autophagy and attenuating endothelial-mesenchymal transition, which finally improved hypoxia-induced PH [35].

Sarrion et al. reported that blood levels of miR-204 decreased around 5 times in patients with IPAH as compared to the control [36]. Also, Courboulin et al. found that downregulation of miR-204 is associated with PAH in 13 PAH patients and found that activation of STAT3 inhibited miR-204 expression and that miR-204 directly targets SHP2 expression, thus by upregulating SHP2 and downregulating miR-204-activation of Src kinase and NFAT leading to cell proliferation and ultimately PH [37].

In our study miR-204 failed to differentiate between idiopathic PAH, SSc-PAH, and Sch-PAH.

Regarding miR-210, we found that it was upregulated in patients with PAH with a highly significant difference between it and the control (< 0.001) so it might be a useful tool in diagnosis of PAH.

Also, we found that miR-210 with a cut-off value ≥ 1.16 µM has 93.33% sensitivity, 85.0% specificity, and AUC (0.917) which means that it might be an excellent tool for early diagnosis of PAH.

Scientists investigated potential interactions between miR-210 and mitogen-activated protein phosphatase kinase 1 (MKP-1) and its effect on cell proliferation in hypoxic human PASMCs [38].

Gou D et al. found that miR-210 is induced in human PASMCs and mouse lungs via the HIF-1 pathway and hypoxia and upregulation of miR-210 leads to suppression of E2F transcription factor 3 (E2F3) and inhibit apoptosis, resulting in hyperplasia of PASMCs [39]. Also, Jingsi Zhao et al. also found that the transport of miR-210 into pulmonary vascular endothelial cells leads to PH [40].

In humans, hypoxia potentiates miR-210, which suppresses the expression of the iron-sulfur cluster-assembly protein ISCU1/2 and controls mitochondrial metabolic functions [41]. Iron homeostasis and mitochondrial dysfunction are major factors in the development of PH [42].

Also in our study, we found that regarding miR-210 there is a significant difference between SSc-PAH and IPAH (P = 0.012) and between SSc-PAH and Sch-PAH (P = 0.035) but it failed to differentiate between IPAH and Sch-PAH so miR-210 might be a useful tool to diagnose SSc-PAH and differentiate it from IPAH and Sch-PAH.

The mortality and therapeutic response in SSc-PAH are worse than idiopathic pulmonary arterial hypertension (IPAH) and might partially be due to its multifaceted underlying mechanisms and the multisystem nature [43].

TGF-ß signaling plays an important role in the pathogenesis of SSc-PAH. TGF-β signal activation leads to the development of PAH, and TGF-ß signaling regulates several processes like cellular angiogenesis and proliferation [44]. Gilbane AJ et al. found reduced BMPR2 protein in patients with SSc-PAH, and raised proteasomal degradation of BMPR2 in a relevant mouse model and that that TGF-β might affect signaling of BMP by degradation of its receptor and promote the PAH susceptibility in SSc, which might provide a unifying mechanism from other types of PAH [45].

In recent studies, miRNAs were assumed as novel biomarkers in SSc fibrosis with the ability to modulate several fibrotic-related genes [46]. The expression of pro-fibrotic and anti-fibrotic miRNAs in SSc may play an important role in the disease [47].

Several studies have found a close interaction between miRNAs and the progress of SSc-PAH. Many studies found that microRNA-21 (miR-21) might play an important role in PH [48], where in terms of TGF-β signaling, miR-suppress the anti-fibrotic signaling molecule SMAD7 expression and promotes pro-fibrotic activity in spinal fibroblasts [49]. It also provides a pro-fibrotic effect in SSc dermal fibroblasts via Smad7 [50, 51].

Kawashita et al. found that miR-29a has decreased expression in patients with SSc, which may have a role in the early diagnosis of SSc-PAH [52]. MiR-29a levels have been associated with increased right ventricular systolic pressure in SSc patients, which may play a role in the pathogenesis of PH.

Moreover, a reduced level of miR-29a-3p was found in pulmonary adventitial fibroblasts with activation of hypoxia or cultured pulmonary adventitial fibroblasts with upregulation of HIF-1 which leads to PASMC proliferation and PH [53].

Christmann RB found that miR-155 may play a role in the development of pulmonary fibrosis in SSc. Upregulation of miR-155 in patients with SSc-associated interstitial lung disease is associated with impaired respiratory function and increased pulmonary fibrosis [54].

Conclusions

  • MiR-204 and miR-210 are non-invasive and inexpensive tools that might be used in the diagnosis of PAH.

  • MiR-210 is an excellent predictor for diagnosis of PAH.

  • MiR-210 might be a useful tool in the differentiation of SSc-PAH from IPAH and Sch-PAH

Availability of data and materials

Data and materials were available in the National Research Centre and Chest Hospital at Cairo University.

Abbreviations

PAH:

Pulmonary arterial hypertension

PH:

Pulmonary hypertension

miRNAs:

MicroRNAs

IPAH:

Idiopathic PAH

SSc-PAH:

Systemic sclerosis-PAH

Sch-PAH:

Schistosomiasis-PAH

mPAP:

Mean pulmonary artery pressure

PCWP:

Pulmonary capillary wedge pressure

PVR:

Pulmonary vascular pressure

CTEPH:

Chronic thromboembolic pulmonary hypertension

WHO:

World Health Organization

PAECs:

Pulmonary artery endothelial cells

PASMCs:

Pulmonary artery smooth muscle cells

PAAFs:

Pulmonary arterial adventitial fibroblasts

RHC:

Right heart catheterization

PCR:

Polymerase chain reaction

RISC:

RNA-induced silencing complex

BNP:

Brain natriuretic peptide

NT-proBNP:

N-terminal pro-B-type natriuretic peptide

PDGF:

Platelet-derived growth factor

STAT3:

Signal transducer and activator of transcription 3

NFAT:

T cell nuclear factor

SHP2:

Tyrosine-protein phosphatase 2

HIF-1α:

Hypoxia-inducible factor 1-alpha

RUNX2:

Runt-related transcription factor 2 gene

MKP-1:

Mitogen-activated protein kinase phosphatase 1

E2F3:

E2F transcription factor 3

ISCU1/2:

Iron–sulfur cluster assembly proteins

References

  1. Simonneau G, Montani D, Celermajer DS et al (2019) Haemodynamic definitions and updated clinical classification of pulmonary hypertension. Eur Respir J 53:1

  2. Galie N, Humbert M, Vachiery JL et al (2016) 2015 ESC/ERS Guidelines for the Diagnosis and Treatment of Pulmonary Hypertension. Rev Esp Cardiol (Engl Ed) 69:177

  3. Galie N, Humbert M, Vachiery JL et al (2016) 2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension: the Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT). Eur Heart J 37:67–119

    Article  PubMed  Google Scholar 

  4. Price LC, Weatherald J (2023) Eur Respir J 61:2202150

    Article  PubMed  Google Scholar 

  5. Kiely DG, Lawrie A, Humbert M (2019) Screening strategies for pulmonary arterial hypertension. Eur Heart J Suppl 21(Suppl K):K9–20

    Article  PubMed  PubMed Central  Google Scholar 

  6. Boucherat O, Potus F, Bonnet S (2015) MicroRNA and pulmonary hypertension. Adv Exp Med Biol 888:237–2527

    Article  PubMed  Google Scholar 

  7. Koudstaal T, Boomars KA, Kool M (2020) Pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension: an immunological perspective. Jcm 9:561

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Santos-Ferreira CA, Abreu MT, Marques CI, Gonçalves LM, Baptista R, Girão HM (2020) Micro-RNA analysis in pulmonary arterial hypertension. JACC: Basic Translational Sci 5(11):49–1162

    Google Scholar 

  9. Hemnes AR, Opotowsky AR, Assad TR, Xu M, Doss LN, Farber-Eger E, Wells QS, Brittain EL (2018) Features associated with discordance between pulmonary arterial wedge pressure and left ventricular end diastolic pressure in clinical practice: implications for pulmonary hypertension classification. Chest 154(5):1099–1107

    Article  PubMed  PubMed Central  Google Scholar 

  10. Varga J (2008) Systemic sclerosis: an update. Bull NYU Hosp Jt Dis 66:198–202

    PubMed  Google Scholar 

  11. Schlueter M, Beaudet A, Davies E, Gurung B, Karabis A (2020) Evidence synthesis in pulmonary arterial hypertension: a systematic review and critical appraisal. BMC Pulm Med 20(1):202

    Article  PubMed  PubMed Central  Google Scholar 

  12. Weatherald J, Montani D, Jevnikar M, Jaïs X, Savale L, Humbert M ( 2019) Screening for pulmonary arterial hypertension in systemic sclerosis. Eur Respir Rev 28:153

  13. Saygin D, Domsic RT (2019) Pulmonary arterial hypertension in systemic sclerosis: challenges in diagnosis, screening and treatment. Open Access Rheumatol 11:323–333

    Article  PubMed  PubMed Central  Google Scholar 

  14. Mickael CS, Graham BB (2019) The Role of Type 2 Inflammation in Schistosoma-Induced Pulmonary Hypertension. Front Immunol 10:27

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Colley DG, Bustinduy AL, Secor WE et al (2014) Humanschistosomiasis Lancet 383:2253–2264

    Article  Google Scholar 

  16. Pereira GA, Bestetti RB, Leite MPB, Santos RB, Ramos SG, Lucchesi FR et al (2002) Portopulmonary hypertension syndrome in schistosomiasis mansoni. Trans R Soc Trop Med Hyg 96:427–428

    Article  PubMed  Google Scholar 

  17. Badesch DB, Raskob GE, Elliott CG, Krichman AM, Farber HW, Frost AE, Barst RJ, Benza RL, Liou TG, Turner M et al (2010) Pulmonary arterial hypertension: Baseline characteristics from the REVEAL Registry. Chest 137:376–387

    Article  PubMed  Google Scholar 

  18. Montani D, Gunther S, Dorfmuller P, Perros F, Girerd B, Garcia G, Jais X, Savale L, Artaud-Macari E, Price LC et al (2013) Pulmonary arterial hypertension. Orphanet J Rare Dis 8:97

    Article  PubMed  PubMed Central  Google Scholar 

  19. Lee R, Feinbaum R, Ambros V (2004) A short history of a short RNA. Cell 116:S89–S92, S96

    Article  CAS  PubMed  Google Scholar 

  20. Filipowicz W, Bhattacharyya SN, Sonenberg N (2008) Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight? Nat Rev Genet 9:102–114

    Article  CAS  PubMed  Google Scholar 

  21. McDonald JS, Milosevic D, Reddi HV, Grebe SK, Algeciras-Schimnich A (2011) Analysis of circulating microRNA: preanalytical and analytical challenges. Clin Chem 57:833–840

    Article  CAS  PubMed  Google Scholar 

  22. Wei C, Henderson H, Spradley C, Li L, Kim IK, Kumar S, Hong N, Arroliga AC, Gupta S (2013) Circulating miRNAs as potential marker for pulmonary hypertension. PLoS ONE 8:e64396

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. Davis-Dusenbery BN, Wu C, Hata A (2011) Micromanaging vascular smooth muscle cell differentiation and phenotypic modulation. Arterioscler Thromb Vasc Biol 31:2370–2377

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Farh KK, Grimson A, Jan C, Lewis BP, Johnston WK, Lim LP, Burge CB, Bartel DP (2005) The widespread impact of mammalian MicroRNAs on mRNA repression and evolution. Science 310:1817–1821

    Article  CAS  PubMed  Google Scholar 

  25. Krek A, Grun D, Poy MN, Wolf R, Rosenberg L, Epstein EJ, MacMenamin P, da Piedade I, Gunsalus KC, Stoffel M et al (2005) Combinatorial microRNA target predictions. Nat Genet 37:495–500

    Article  CAS  PubMed  Google Scholar 

  26. Jung EJ, Santarpia L, Kim J, Esteva FJ, Moretti E, Buzdar AU, Di Leo A, Le XF, Bast RC Jr, Park ST et al (2012) Plasma microRNA 210 levels correlate with sensitivity to trastuzumab and tumor presence in breast cancer patients. Cancer 118:2603–2614

    Article  CAS  PubMed  Google Scholar 

  27. Yuan S-M (2019) Interleukin-13 in the Pathogenesis of Pulmonary Artery Hypertension. J Lab Med 43:5–11

    Article  CAS  Google Scholar 

  28. Yuan Z, Luo G, Li X, Chen J, Wu J, Peng Y (2016) PPARc inhibits HMGB1 expression through upregulation of miR-142-3p in vitro and in vivo. Cell Signal 28(3):158–164

    Article  CAS  PubMed  Google Scholar 

  29. Schmittgen TD, Livak KJ (2008) Analyzing real-time PCR data by the comparative C(T) method. Nat Protoc 3(6):1101–1108

    Article  CAS  PubMed  Google Scholar 

  30. Gunther S, Dorfmuller P, Perros F, Girerd B, Garcia G, Jais X, Savale L, Artaud-Macari E, Price LC et al (2013) Pulmonary arterial hypertension. Orphanet J. Rare Dis 

  31. Chen X, Liang H, Zhang J, Zen K, Zhang CY (2012) Secreted microRNAs: A new form of intercellular communication. Trends Cell Biol 22:125–132

    Article  CAS  PubMed  Google Scholar 

  32. Lee C, Mitsialis SA, Aslam M, Vitali SH, Vergadi E, Konstantinou G, Sdrimas K, Fernandez-Gonzalez A, Kourembanas S (2012) Exosomes mediate the cytoprotective action of mesenchymal stromal cells on hypoxia-induced pulmonary hypertension. Circulation 126:2601–2611

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Meloche J, Pflieger A, Vaillancourt M (2014) Role for DNA damage signaling in pulmonary arterial hypertension. Circulation 129:786–797

    Article  CAS  PubMed  Google Scholar 

  34. Ruffenach G, Chabot S, Tanguay VF (2016) Role for Runt-related transcription factor 2 in proliferative and calcified vascular lesions in pulmonary arterial hypertension. Am J Respir Crit Care Med 194:1273–1285

    Article  PubMed  Google Scholar 

  35. Liu T, Zou XZ, Huang N (2019) Down-regulation of miR-204 attenuates endothelial-mesenchymal transition by enhancing autophagy in hypoxia-induced pulmonary hypertension. Eur J Pharmacol 863:172673

    Article  CAS  PubMed  Google Scholar 

  36. Sarrion I, Milian L, Juan G, Ramon M, Furest I et al (2015) Role of circulating miRNAs as biomarkers in idiopathic pulmonary arterial hypertension: Possible relevance of miR-23a. Oxid Med Cell Longev 2015(1):1–10

    Article  Google Scholar 

  37. Courboulin A, Paulin R, Giguère NJ, Saksouk N, Perreault T et al (2011) Role for miR-204 in human pulmonary arterial hypertension. J Exp Med 208(3):535–548

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Jin Y, Pang T, Nelin LD, Wang W, Wang Y et al (2015) MKP-1 is a target of miR-210 and mediate the negative regulation of miR210 inhibitor on hypoxic hPASMC proliferation. Cell Biol Int 39(1):113–120. https://doi.org/10.1002/cbin.10339

    Article  CAS  PubMed  Google Scholar 

  39. Gou D, Ramchandran R, Peng X et al (2012) miR-210 has an antiapoptotic effect in pulmonary artery smooth muscle cells during hypoxia. Am J Physiol Lung Cell Mol Physiol 303:L682–L691

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Zhao J, Florentin J, Tai Y-Y et al (2020) Long range endocrine delivery of circulating miR-210 to endothelium promotes pulmonary hypertension. Circ Res 127:677–692

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Chan SY, Zhang YY, Hemann C, Mahoney CE, Zweier JL, Loscalzo J (2009) MicroRNA-210 controls mitochondrial metabolism during hypoxia by repressing the iron-sulfur cluster assembly proteins ISCU1/2. Cell Metab 10:273–284

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Ryan JJ, Archer SL (2015) Emerging concepts in the molecular basis of pulmonary arterial hypertension: Part I: Metabolic plasticity and mitochondrial dynamics in the pulmonary circulation and right ventricle in pulmonary arterial hypertension. Circulation 131:1691–1702

    Article  PubMed  PubMed Central  Google Scholar 

  43. Sobanski V, Launay D, Hachulla E, Humbert M (2016) Current approaches to the treatment of systemic-sclerosis-associated pulmonary arterial hypertension (SSc-PAH). Curr Rheumatol Rep 18:10

    Article  PubMed  Google Scholar 

  44. Kumar R, Mickael C, Kassa B, Gebreab L, Robinson JC, Koyanagi DE et al (2017) TGF-β activation by bone marrow-derived thrombospondin-1 causes Schistosoma- and hypoxia-induced pulmonary hypertension. Nat Commun 8:15494

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Gilbane AJ, Derrett-Smith E, Trinder SL, Good RB, Pearce A, Denton CP et al (2015) Impaired bone morphogenetic protein receptor II signaling in a transforming growth factor-β-dependent mouse model of pulmonary hypertension and in systemic sclerosis. Am J Respir Crit Care Med 191:665–677

    Article  CAS  PubMed  Google Scholar 

  46. Bergmann C, Distler JH (2017) Epigenetic factors as drivers of fibrosis in systemic sclerosis. Epigenomics 9:463–477

    Article  CAS  PubMed  Google Scholar 

  47. Tsou PS, Sawalha AH (2017) Unfolding the pathogenesis of scleroderma through genomics and epigenomics. J Autoimmun 83:73–94

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. Parikh VN, Jin RC, Rabello S, Gulbahce N, White K, Hale A et al (2012) MicroRNA-21 integrates pathogenic signaling to control pulmonary hypertension: results of a network bioinformatics approach. Circulation 125:1520–1532

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Wang W, Liu R, Su Y, Li H, Xie W, Ning B (2018) MicroRNA-21-5p mediates TGF-β-regulated fibrogenic activation of spinal fibroblasts and the formation of fibrotic scars after spinal cord injury. Int J Biol Sci 14(2):178–188

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Zhu H, Li Y, Qu S, Luo H, Zhou Y, Wang Y et al (2012) MicroRNA expression abnormalities in limited cutaneous scleroderma and diffuse cutaneous scleroderma. J Clin Immunol 32:514–522

    Article  CAS  PubMed  Google Scholar 

  51. Zhu H, Luo H, Li Y, Zhou Y, Jiang Y, Chai J et al (2013) MicroRNA-21 in scleroderma fibrosis and its function in TGF-β-regulated fibrosis-related genes expression. J Clin Immunol 33:1100–1109

    Article  CAS  PubMed  Google Scholar 

  52. Kawashita Y, Jinnin M, Makino T, Kajihara I, Makino K, Honda N et al (2011) Circulating miR-29a levels in patients with scleroderma spectrum disorder. J Dermatol Sci 61:67–69

    Article  CAS  PubMed  Google Scholar 

  53. Luo Y, Dong HY, Zhang B, Feng Z, Liu Y, Gao YQ et al (2015) miR-29a-3p attenuates hypoxic pulmonary hypertension by inhibiting pulmonary adventitial fibroblast activation. Hypertension 65(2):414–420

    Article  CAS  PubMed  Google Scholar 

  54. Christmann RB, Wooten A, Sampaio-Barros P, Borges CL, Carvalho CR, Kairalla RA et al (2016) miR-155 in the progression of lung fibrosis in systemic sclerosis. Arthritis Res Ther 18:155

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The authors gratefully acknowledge the studied participants for their enrollment in the project.

Funding

National Research Centre funded this work through project number: 12060152. The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. No writing assistance was utilized in the production of this manuscript.

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Authors

Contributions

MO (funding acquisition) designed the research steps and implementation. MO, YM, RI, and HM conducted data collection and were responsible for patients` selection, performing investigations on patients. SA, EM, RN, and EA participated in performing the laboratory work and results collection. MO contributed to the data entry, statistical analysis, and tabulation. MO, YM, RI, and HM wrote, reviewed, and approved the manuscript.

Corresponding author

Correspondence to Mark O. Dimitry.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the ethical committee of the National Research Centre.

• Ethical committee`s name: Prof: Samia Temtamy- Head of Medical Research Ethical Committee (MREC).

• Date of approval: 2019.

• Reference number: 19–288.

All participants were provided an informed written consent to participate in the study in accordance with the code of ethics of the World Medical Association (Declaration of Helsinki) for experiments on humans (all patients were aged above 20 years old).

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Not applicable.

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The authors declare that they have no competing interests.

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Dimitry, M.O., Amin, Y.M., ElKorashy, R.I. et al. Role and predictive value of microRNAs 204 and 210 in the diagnosis of pulmonary arterial hypertension and the distinction between idiopathic, systemic sclerosis, and schistosomiasis-associated pulmonary arterial hypertension. Egypt J Bronchol 18, 37 (2024). https://doi.org/10.1186/s43168-024-00288-9

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