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. 2022 Jul 28;17(7):e0264566. doi: 10.1371/journal.pone.0264566

The percentage of CD39+ monocytes is higher in pregnant COVID-19+ patients than in nonpregnant COVID-19+ patients

A Cérbulo-Vázquez 1,*, M García-Espinosa 2, J C Briones-Garduño 3, L Arriaga-Pizano 4, E Ferat-Osorio 5, B Zavala-Barrios 3, G L Cabrera-Rivera 4, P Miranda-Cruz 4, M T García de la Rosa 4, J L Prieto-Chávez 4,6, V Rivero-Arredondo 4, R L Madera-Sandoval 4, A Cruz-Cruz 4, E Salazar-Rios 4, M E Salazar-Rios 4, D Serrano-Molina 4, R C De Lira-Barraza 4, A H Villanueva-Compean 7, A Esquivel-Pineda 7, R Ramirez-Montes de Oca 7, F Caldiño-Soto 8, L A Ramírez-García 9, G Flores-Padilla 7, O Moreno-Álvarez 9, G M L Guerrero-Avendaño 10, C López-Macías 4,11,*
Editor: Eliseo A Eugenin12
PMCID: PMC9333267  PMID: 35901034

Abstract

Current medical guidelines consider pregnant women with COVID-19 to be a high-risk group. Since physiological gestation downregulates the immunological response to maintain “maternal-fetal tolerance”, SARS-CoV-2 infection may constitute a potentially threatening condition to both the mother and the fetus. To establish the immune profile in pregnant COVID-19+ patients, a cross-sectional study was conducted. Pregnant women with COVID-19 (P-COVID-19+; n = 15) were analyzed and compared with nonpregnant women with COVID-19 (NP-COVID-19+; n = 15) or those with physiological pregnancy (P-COVID-19-; n = 13). Serological cytokine and chemokine concentrations, leucocyte immunophenotypes, and mononuclear leucocyte responses to polyclonal stimuli were analyzed in all groups. Higher concentrations of serological TNF-α, IL-6, MIP1b and IL-4 were observed within the P-COVID-19+ group, while cytokines and chemokines secreted by peripheral leucocytes in response to LPS, IL-6 or PMA-ionomicin were similar among the groups. Immunophenotype analysis showed a lower percentage of HLA-DR+ monocytes in P-COVID-19+ than in P-COVID-19- and a higher percentage of CD39+ monocytes in P-COVID-19+ than in NP-COVID-19+. After whole blood polyclonal stimulation, similar percentages of T cells and TNF+ monocytes between groups were observed. Our results suggest that P-COVID-19+ elicits a strong inflammatory response similar to NP-COVID19+ but also displays an anti-inflammatory response that controls the ATP/adenosine balance and prevents hyperinflammatory damage in COVID-19.

Introduction

Severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus infections result in high mortality among pregnant women (25% and 27%, respectively) [1]. In 2019, a new coronavirus called SARS-CoV-2 appeared and became a new high-risk virus because SARS-CoV-2 viral infections lead to a powerful cell and humoral immune response in pregnant women and increase fetal morbidity and mortality [2–4]. Additionally, pregnant women exhibit higher mortality rates associated with viral infections than the general population [5, 6]. The immune response in pregnant women is mediated by many cellular and humoral mechanisms [7, 8], resulting in a unique biological scenario to face a new virus, as in COVID-19.

Comorbidities associated with critical COVID-19 are highly prevalent in Mexico in both the general population and pregnant women [3, 4, 9, 10]; however, the clinical presentation of COVID-19 seems to be similar in both the general population and pregnant women [3, 11]. Current data are not sufficient to determine whether vertical transmission is possible, how large the potential infection is by asymptomatic pregnant women to the general population, or whether COVID-19 leads to an increase in postpartum mortality. In addition, the epidemiological and clinical characteristics and immune profile of pregnant women with COVID-19 have been poorly explored. As it is in the general population, lymphopenia is also reported in pregnant women with COVID-19 [12]. Parameters such as neutrophil count are useful for COVID-19 diagnosis [13]. Furthermore, an increased neutrophil/lymphocyte ratio has been associated with fatal outcomes in COVID-19 patients [14–17]. Several studies indicate that leucocyte count is necessary for the initial evaluation of COVID-19 patients; however, a detailed phenotypic analysis of leucocytes could improve our knowledge of SARS-CoV-2 infection, especially in pregnant women.

Several humoral components of the immune response are involved in COVID-19; among them, inflammatory cytokines/chemokines have been observed in high serum concentrations in the general population, and the higher the concentration is, the worse the clinical status [18, 19]. Cytokines and chemokines are key regulators in the physiological immune response and in COVID-19. SARS-CoV induces low expression of IFN-α, IFN-β and IL-10, moderate expression of TNF-α and IL-6, and high expression of CCL3, CCL5, CCL-2 and CXCL10 [20, 21]. In addition, SARS-CoV protein S induces CCL2 and CXCL8 synthesis in vitro [22, 23]. COVID-19 patients show higher concentrations of IL-2, IL-7, IL-10, G-CSF, IP10 (CXCL10), MCP-1 (CCL2), MIP1a (CCL3) and TNF-α than non-COVID-19 patients [18]. The sources of these cytokines/chemokines are diverse and could include lung epithelial cells, endothelial cells, and leucocytes [24–26].

The COVID-19-derived inflammatory response in pregnancy could disturb the delicate immune balance in cellular components. Some surface molecules on cells can modulate leucocyte activation and function and, in pregnancy, also trigger regulator systems that may prevent both fetal rejection and the inflammatory response. CD39 and CD73 are ectonucleotidases that metabolize ATP to adenosine, which drives immune profiles from proinflammatory to anti-inflammatory [27]. Additionally, CD39 downregulation is associated with poor pregnancy outcomes [28]. Analysis of CD39 and CD73 in COVID-19 patients showed a decrease in CD8+CD73+ T cells, and NKT cells correlated with ferritin levels and were potential useful prognostic markers in COVID-19 [29]. Additionally, lower plasma ATP and adenosine levels were identified in mild and severe COVID-19 patients, higher frequencies of CD4+CD39+ cells in severe COVID-19 patients, and diminished frequencies of CD4+CD73+ and CD8+CD73+ cells in severe COVID-19 patients compared to mild COVID-19 patients and controls [30]. However, no evidence of the CD39/73 system has been reported in pregnant women with COVID-19.

To analyze the immune profile in P-COVID-19+, a cross-sectional study was conducted. Our analysis includes a) the immunophenotype of lymphocytes and monocytes expressing activation markers, b) serum cytokine/chemokine concentration, and c) the proportion of cytokine-producing leucocytes in response to polyclonal stimuli. Herein, we explored cellular and humoral characteristics that may improve the understanding of the immunopathophysiology of pregnant women with COVID-19.

Material and methods

Patients

This study was conducted by the "Servicio de Ginecología y Obstetricia” at the Hospital General de Mexico “Dr. Eduardo Liceaga” in conjunction with the Unidad de Investigación Médica en Inmunoquímica (UIMIQ) at the Hospital de Especialidades, Centro Médico Nacional Siglo XXI, and the Servicio de complicaciones de la segunda mitad del embarazo, División Obstetricia, UMAE Hospital de Gineco-Obstetricia No. 4 “Dr. Luis Castelazo Ayala”. The study was evaluated by the National Committee for Scientific Research (CNIC) with the following approval numbers: Research project: DI / 20112/04/45, and R-2020-785-095. After obtaining a signed informed consent letter, forty-four women were enrolled and assigned to one of three groups: a) NP-COVID-19+, n = 15, b) P-COVID-19+, n = 15, and c) P-COVID-19-, n = 13. The COVID-19 diagnosis was based on clinical characteristics [31], and SARS-CoV-2 viral infection was confirmed by specific reverse transcription–polymerase chain reaction. Comorbidities and clinical features were recorded.

Blood sample collection

Our study is in accordance with the World Medical Association’s Declaration of Helsinki. After a patient signed the informed consent letter, blood specimens were collected in silicone-coated tubes (EDTA or heparinized tubes, BD Vacutainer, N. J, USA). Samples were processed immediately after collection.

Leucocyte immunophenotyping

Whole blood samples (50 μL) were incubated with titrated volumes of antibodies according to the following panel: anti-CD45-PerCP (Clone:HI30), anti-CD3-AF647 (Clone:UCHT1), anti-CD14-PECy7 (Clone:M5E2), anti-CD16-FITC (Clone:3G8), anti-CD19-APC/Cy7 (Clone:HIB19), anti-CD73-PE (Clone:AD2), anti-CD39-BV421 (Clone:A1), anti-CD4-APC/Cy7 (Clone:OKT4), anti-CD8-PE/Dazzle594 or BV510 (Clone:SK1), anti-CD69-BV421 (Cone:FN50), anti-HLA-DR-AF488/PE/Dazzle594 (Clone:L243), and dead cells with Zombie Aqua fixable viability kit (all reagents from BioLegend, San Diego, CA). After 15 minutes of incubation, erythrolysis was performed using FACS™ Lysing Solution (Cat. 349202, BD, San Jose, CA, USA). Samples were washed once with 1x PBS (1,500 rpm, 5 minutes, 4°C) and resuspended in PBS (100 μL). At least 30,000 leucocytes (CD45+ cells) were acquired in a FACSAria IIu flow cytometer (BD Biosciences, San José, CA, USA). The FACS files were analyzed with Infinicyt™ software 1.8 (Cytognos, Salamanca, Spain). Single cells were defined with an FSC-A vs. FSC-H plot, and leucocytes were identified using an SSC vs. CD45 plot. Lymphocytes were gated as SSClowFSClowCD45++CD14-, monocytes as SSCmidFSCmidCD45+CD14+, and neutrophils as SSCmidFSCmidCD45+CD16+. Lymphocyte subtypes were identified according to CD19+ (B cells) and CD3+ (T cells), which could be CD4+ (Th) or CD8+ (Tc). The percentages and mean fluorescence intensities (MFIs) of HLA-DR, CD69, CD39, CD73, CD32 and CCR5 were calculated.

Polyclonal stimulation

Whole heparinized blood (10x109 cells/mL/well) was incubated (4 hours at 37°C with 5% CO2) alone in 24-well culture plates (Cat 13485, Costar, NY, USA), with human recombinant IL-6 (human rIL-6, 100 ng/mL), or with Escherichia coli O55:B5 lipopolysaccharide (LPS 250 ng/mL, Cat. L2880, Sigma Aldrich, St. Louis, MO, USA) or with phorbol myristate acetate/ionomycin (PMA 50 ng/mL, ion 1 mg/mL). The supernatant was recovered and stored at -20°C until cytokine and chemokine assessment. Independently, some of the samples were incubated with the stimuli described above in the presence of brefeldin-A (Cat. 420601, BioLegend, San Diego, CA, USA). Afterward, intracellular phenotyping was performed.

Intracellular cytokine detection

After cell culture, whole blood samples (10x105 cells/mL) were incubated with the following panel: antibodies from BioLegend, San Diego, CA, USA: anti-CD45-PerCP (Clone: HI30), anti-CD3-AF647 (Clone: UCHT1), anti-CD14-PECy7 (Clone: M5E2), anti-CD4-APC/Cy7 (Clone: OKT4), anti-CD8-PE/Dazzle594 or BV510 (Clone: SK1). After 15 min in the dark, blood was washed once with PBS (1 mL) by centrifugation at 900×g for 5 min at room temperature (RT); then, Fixation buffer was added (100 μL, Cat: 420801, BioLegend, San Diego, CA, USA), and the samples were incubated for 20 min. Then, samples were washed twice with 1 mL of Intracellular Staining Perm Wash buffer (Cat: 421002, BioLegend, San Diego, CA, USA); after the second wash, they were mixed with monoclonal antibodies against cytokines from BioLegend, San Diego, CA, USA: anti-TNFα-BV421 (Clone: MAb11), anti-IL-6-PE (MQ2-13A5), anti-IL-1β-FITC (Clone:JK1B-1), anti-IFNγ-BV421 (Clone:4S. B3), anti-IL-8a-PE (Clone: E8N1). For the exclusion of dead cells, a Zombie Aqua fixable viability kit (BioLegend, San Diego, CA, USA) was added and incubated for 30 min at RT. Last, the mixture was washed once with PBS. At least 30,000 events were acquired in a FACSAria IIu (BD, San Jose CA) flow cytometer. Analysis was performed using Infinicyt™ Software 1.8.

Soluble cytokine/chemokines quantification

Serum or cell culture supernatant was analyzed as follows: cytokines (IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ, and IL-17a) and chemokines (CXCL8/IL-8, CXCL10/IP-10, CCL11/Eotaxin, CCL17/TARC, CCL2/MCP-1, CCL5/RANTES, CCL3/MIP-1a, CXCL9/MIG, CXCL5/ENA-78, CCL20/MIP-3a, CXCL1/GROa, CXCL11/I-TAC and CCL4/MIP-1b) were determined using bead-based immunoassays (CBA kit, Cat. 560484, BD Pharmingen, San Diego, CA, USA; and LEGENDplex, Cat. 740003, BioLegend, San Diego, CA, USA, respectively). Log-transformed data were used to construct standard curves fitted to 10 discrete points using a 4-parameter logistic model. The concentration of each cytokine/chemokine was calculated using interpolations of their corresponding standard curves.

Statistical analysis

Statistical analysis was performed using GraphPad Prism® version 7 software (GraphPad Software, San Diego, CA, USA). Nonparametric ANOVA (Kruskal–Wallis test) with Dunn’s posttest was applied. Categorical variables were expressed as percentages (% and compared by Fisher’s exact test. A p<0.05 was considered statistically significant.

Results

We compared P-COVID-19+, NP-COVID-19+ and clinically healthy pregnant women (P-COVID-19-) to assess the immune profile. Table 1 shows the demographic and clinical features. Pregnant women with or without COVID-19 had similar maternal and gestational ages. Additionally, the frequency of comorbidities (diabetes mellitus and systemic arterial hypertension) was similar among the groups. Some clinical characteristics, such as heart rate and serological lactate dehydrogenase (LDH) concentration, were higher in the P-COVID-19+ patients than in the P-COVID-19- patients (p = 0.048 and p = 0.005, respectively). No significant difference was observed between the P-COVID-19+ and P-COVID-19- patients for age, BMI, respiratory rate, body temperature, mean arterial pressure (MAP), hemoglobin, total leucocyte count, neutrophil/lymphocyte ratio (NLR), total platelet count, serum glucose, serum creatinine, partial thromboplastin time or fibrinogen. Diminished oxygen saturation levels were observed in the COVID-19+ pregnant and nonpregnant patients, but without significant differences among them. Regarding D-dimer concentrations, higher levels were observed in the P-COVID-19+ than in the NP-COVID-19+ patients; however, the highest D-dimer concentration was found in those patients with physiological pregnancy. We did not observe differences among groups in total leucocyte count or in subtypes of leucocytes identified by flow cytometry (S1 Table). However, the lowest percentage of lymphocytes was observed in the NP-COVID-19+ patients.

Table 1. Clinical and laboratory characteristics.

NP-COVID-19+ (n = 9–15)a P-COVID-19+ (n = 8–15)b P-COVID-19- (n = 13)c p
Age (years) 34.1±7 28±7.1 25.6±5.7 a vs. c 0.006
BMI 31.6±6.9 30.0±6.3 28.0±3.5 0.356
Respiratory Rate (breaths per min) 23±3.8 22.1±6.8 18.6±1.1 a vs. c 0.005
Heart Rate (beats per min) 91.2±25.1 97.3±19.6 77.7±7.5 b vs. c 0.048
Temperature (°C) 36.9±1.2 36.7±0.7 36.3±0.2 0.081
Mean Arterial Pressure (mmHg) 159.5±17.4 153.2±15.4 157.1±13.3 0.631
Hemoglobin 13±2.7 12.6±2.0 11.9±1.1 0.070
Leucocytes (10xmm3) 8.6±4 11.1±3.2 8.4±2.3 0.140
NLR 11.8±11.7 5.1±1.9 3.7±1.2 a vs. c 0.009
PLT (10xmm3) 272.3±99.2 327.2±218.1 232.8±45.4 0.548
Glucose (mg/dL) 122.5±51.8 91.1±20.1 89.3±12.5 0.170
Urea (mg/dL) 30.9±20.4 17.4±5.7 18.3±5.9 a vs. b 0.040
a vs. c 0.027
Creatinine (mg/dL) 0.7±0.3 1.0±1.1 0.5±0.2 a vs. c 0.009
LDH (U/L) 804.9±1389 582.8±510.8 269.7±90.4 b vs. c 0.005
PT (seconds) 15.2±3.3 11.5±1.1 11±0.4 a vs. b 0.011
a vs. c 0.0002
PTT (seconds) 31.2±4.6 30.9±4 29.5±3.3 0.595
D-Dimer (ng/mL) 3.9±6.9 1513±1474 3215±1247 a vs. b 0.028
a vs. c <0.0001
Fibrinogen (mg/dL) 662.7±167.5 693.9±186.3 566.2±103.4 0.195
Oxygen saturation (%) 88.4±13.3 91.1±5.6 98.5±0.5 a vs. c 0.049
Diabetes 2 3 1 0.614
Hypertension 1 2 0 0.375
Obesity 5 6 0 0.037
Gestational age (Weeks) — 31.4±5.7 35.3±4.8 0.069
2nd trimester — 2 1 Ns
3rd trimester — 13 12 Ns
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Non-Pregnant COVID-19+ (NP-COVID-19+), Pregnant COVID-19+ (P-COVID-19+), Pregnant COVID-19- (P-COVID-19-). BMI; Body Mass Index. NLR; Neutrophil/Lymphocyte Ratio. Kruskal–Wallis test and Dunn’s multiple comparisons test. Significant p<0.05. Mean±SD.

Table 2 shows the frequency of symptoms in those patients with and without COVID-19. The pregnant women with COVID-19 had a similar frequency of symptoms such as cough, myalgia, arthralgia and dyspnea as the NP-COVID19+ group. The most frequent symptoms in the pregnant patients with COVID-19 were cough, myalgia, and arthralgia.

Table 2. Frequency of COVID-19 signs and symptoms.

NP-COVID-19+ (n = 15)a P-COVID-19+ (n = 13)b P-COVID-19- (n = 12)c P
Cough 10 9 0 0.001
Rhinorrhea 4 6 0 0.038
Odynophagia 5 3 0 0.092
Myalgia 10 8 0 0.001
Arthralgia 7 7 0 0.012
Anosmia 2 1 0 0.417
Dyspnea 11 6 0 0.0006
Diarrhea 3 1 0 0.202
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Non-Pregnant COVID-19+ (NP-COVID-19+), Pregnant COVID-19+ (P-COVID-19+), Pregnant COVID-19- (P-COVID-19-). Fisher’s exact test. Significant p<0.05.

Using flow cytometry, we analyzed the cellular phenotype in the COVID-19 patients. The proportion of leucocytes with an activated phenotype (HLA-DR+ or CD69+) or inflammatory modulators (CD39+ or CD73+) was determined in peripheral blood samples. Fig 1A shows a lower proportion of monocytes HLA-DR+ in the pregnant COVID-19+ patients compared to the pregnant COVID-19- patients (p = 0.013). No differences were observed between the pregnant and nonpregnant COVID-19+ patients (p = 0.481). In contrast, CD4 or CD8 T lymphocyte HLA-DR+ or CD8+CD69+ cells were similar among the groups (S2 Table). Regarding CD39 expression in leucocytes (Fig 1B–1D), the percentage of monocytes CD39+ was significantly higher in the P-COVID-19+ than in NP-COVID-19+ patients (p = 0.007), and higher frequencies of B cells CD39+ (Fig 1C, p = 0.089), and lower T cells CD39+ (Fig 1D, p = 0.111) in the P-COVID-19+ than in NP-COVID-19+ patients.

Fig 1. Surface marker on leucocytes.

Fig 1

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Whole blood cells were immunophenotyped as described in the methods. The results are expressed as the mean±SD. Significance value was p<0.05. Kruskal–Wallis and Dunn’s multiple comparisons tests were calculated. Non-Pregnant COVID-19 positive (NP-COVID-19+, n = 4–9). Pregnant COVID-19 positive (P-COVID-19+, n = 10–15). Pregnant COVID-19 negative (P-COVID-19-, n = 12–13). The dotted line indicates the percentage of monocytes, B cells and T cells that constitutively express CD39 [32].

Regarding CD73 (Fig 1E–1G), we found a lower percentage of CD73+ monocytes in the P-COVID-19+ than in the NP-COVID-19+ patients, without statistical significance (Fig 1E, p = 0.091). Despite pregnancy or COVID-19, similar percentages of CD73+ B and T cells were observed (Fig 1F, p>0.9 and Fig 1G, p = 0.501, respectively).

To explore leucocyte functionality, we analyzed IL-6, IFN-γ or IL-1β production by lymphocytes and monocytes after 4 hours of culture in the presence of human rIL-6 (100 ng/mL). Additionally, PMA/Ion, (50 ng/mL & 1 mg/mL) or LPS (250 ng/mL) was used as a polyclonal stimulus. Fig 2 shows that human rIL-6 did not increase the percentages of CD4+IL-6+, CD4+IFN-γ+, CD8+IL-6+, or CD8+IFN-γ+ T lymphocytes (Fig 2B, 2E, 2H and 2K). In the presence of human rIL-6, only 5% of the T cells expressed IL-6 or IFN-γ, a percentage similar to that of whole blood alone (Fig 2A, 2D, 2G and 2J). In addition, in response to PMA/Ion, the percentage of CD4+IL-6+ T lymphocytes was higher in the P-COVID-19+ group than in the P-COVID-19- group (Fig 2C). This response was not observed in the CD8+IL-6+ cells (Fig 2I). In addition, PMA/Ion stimulus increased the percentage of CD4+ IFN-γ+ and CD8+IFN-γ+ cells in the pregnant women with and without COVID-19 (Fig 2F and 2L), and a lower response was observed in the NP-COVID-19+ group. These differences did not reach statistical significance.

Fig 2. Percentage of cytokine-positive leucocytes.

Fig 2

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Whole blood cells were immunophenotyped as described in the methods. The results are expressed as the mean±SD. Significance value was p<0.05. Kruskal–Wallis and Dunn’s multiple comparisons tests were calculated. Non-Pregnant COVID-19 positive (NP-COVID-19+, n = 5–6). Pregnant COVID-19 positive (P-COVID-19+, n = 12–15). Pregnant COVID-19 negative (P-COVID-19-, n = 12–13).

The proportion of IL-1+ monocytes or IL-6+ monocytes reached less than 10% in the groups without stimuli (Fig 2M and 2P), and human rIL-6 increased the percentage of monocytes IL-1+ and IL-6+ by 5–10%. Finally, the percentages of IL-1+ and IL-6+ monocytes after LPS challenge were similar among the groups (Fig 2Q and 2R), and after LPS stimulation, all patients reached 60–80% IL-1+ monocytes and 30–50% IL-6+ monocytes.

To determine the serum concentrations of cytokines/chemokines, collected samples were analyzed and compared among groups. The TNF-α, IL-6, MIP1b and IL-4 concentrations were higher in the P-COVID-19+ than the P-COVID-19- patients (Fig 3A, 3B, 3D and 3E). Additionally, these cytokines were at higher concentrations in the P-COVID-19+ than the NP-COVID-19+ patients; however, they did not reach a significant difference. Another chemokine, CXCL10 (IP10), showed a higher concentration in the P-COVID-19+ than the P-COVID-19- patients, although it did not reach a statistically significant difference (Fig 3C, p = 0.163). S1 Fig shows other cytokines/chemokines that showed similar concentrations between and among groups, including CXCL8, CCL11, CCL17, CCL2, CCL5, CCL3, CXCL9, CXCL5, CCL23, CXCL1, CXCL11, IL-17a, IFN-γ and IL-10.

Fig 3. Cytokine/chemokine serum concentration.

Fig 3

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Serum was isolated, and cytokine/chemokine concentrations were determined using bead-based immunoassays as described in the methods. The results are expressed as the mean±SD. Significance value was p<0.05. Kruskal–Wallis and Dunn’s multiple comparisons tests were calculated. Non-Pregnant COVID-19 positive (NP-COVID-19+, n = 13). Pregnant COVID-19 positive (P-COVID-19+, n = 14–15). Pregnant COVID-19 negative (P-COVID-19-, n = 13).

To determine whether leucocytes from P-COVID19+ patients could secrete cytokines/chemokines in response to polyclonal challenge, whole blood was incubated with IL-6, PMA/ionomicin or LPS, and the supernatant was recovered after 4 hours. Fig 4 shows that in medium alone, the TNF-α, IFN-γ, CCL3, CCL4, IL-17a, CCL23, CXCL8 and IL-10 concentrations were similar among the groups (Fig 4A–4H). Human rIL-6 induced a higher concentration of TNF-α and CCL3 than medium alone (Fig 4A and 4B). Additionally, LPS induced higher concentrations of TNF-α, CCL3, CCL4, CCL23 and CXCL8 than medium alone, and these differences reached high significance (p<0.0001). Finally, PMA/ion stimulus induced higher concentrations of CCL3, CCL4, IL-17a, CCL23, CXCL-8 and IL-10 in the groups than medium alone (p<0.0001). However, PMA/Ion did not induce an increase in IFN-γ concentration in the groups, and the lowest response was observed in the NP-COVID-19+ group. Although the IFN-γ concentration was higher in the pregnant women with and without COVID-19 than in the NP-COVID-19+ group, no statistically significant difference was achieved (both p>0.9). Additionally, S2 Fig shows that the polyclonal stimulus did not induce an increase in the concentrations of CCL11, CCL17, CCL2, CCL5, CXCL9, CXCL5, CXCL1, CXCL11, IL-4 or IL-2.

Fig 4. Cytokine/chemokine response after 4 hours of culture with polyclonal stimulus in pregnant and nonpregnant women with or without COVID-19.

Fig 4

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The supernatant was collected, and cytokine/chemokine concentrations were determined using bead-based immunoassays as described in the methods. The results are expressed as the mean±SD. Significance value was p<0.05. Kruskal–Wallis and Dunn’s multiple comparisons tests were calculated. Non-Pregnant COVID-19 positive (NP-COVID-19+, n = 3). Pregnant COVID-19 positive (P-COVID-19+, n = 8–10). Pregnant COVID-19 negative (P-COVID-19-, n = 12). WB, Whole Blood.

Discussion

During pregnancy, the immune system is highly regulated. Multiple mechanisms of immune tolerance develop during gestation and favor physiological progress in reproduction [8]. Any viral infection poses a high risk of increasing fetal-maternal morbimortality partially by deregulation of cellular and humoral immune responses. Villar et al. reported a greater probability of morbidity and mortality in P-COVID-19+ than in P-COVID-19- patients [2]. However, we found no differences in clinical manifestations or laboratory values between P-COVID-19+ and P-COVID-19- patients. Additionally, we did not observe differences in several clinical features related to chronic inflammatory response (BMI/fibrinogen) or metabolic/renal status (glucose, creatinine, DHL). This perception could result from the limited number of observations. However, we observed some differences between pregnant and nonpregnant women, such as a higher serum urea concentration, a longer PT time, and a lower concentration of D-dimer in NP-COVID-19+ than in P-COVID-19+ or P-COVID-19- patients. In pregnancy, such differences occur because of the continuous and physiologic activation of the coagulation system [33]; the longer PT time and lower D-dimer concentration in the NP-COVID-19+ condition could represent the worst adaptation of the pathophysiologic response in SARS-CoV-2 infection. Accordingly, there are few reports of coagulopathy in P-COVID-19+ patients [34]. In contrast, a higher D-dimer concentration has been reported in the general population, which correlates with a high frequency of fatal outcomes [35–37]. Interestingly, we observed similar D-dimer concentrations in P-COVID-19+ and P-COVID-19- patients, suggesting that in pregnant women, D-dimer concentration may not be a good predictor for severity or thromboembolic risk [38]. Nevertheless, a larger number of observations within a longitudinal study is needed to assess the usefulness of D-dimer concentration as a predictor in pregnant women with COVID-19.

We observed a lower proportion of HLA-DR+ monocytes in COVID-19+ women with and without pregnancy (Fig 1A), and this lower proportion has also been observed in septic patients with critical conditions or fatal outcomes [39, 40]. The lower percentage of HLA-DR+ monocytes in COVID-19 could represent the downregulation process of the immune response by SARS-CoV-2, which helps viruses evade immunity, or could be a physiologic mechanism that controls activation of the immune system to avoid overstimulation. More studies are necessary to answer these questions.

An early activation marker (CD69) was also analyzed in our study. We found a similar result for CD69+ cells in both CD4 and CD8 lymphocytes in pregnant and nonpregnant COVID-19 patients (S2 Table). In contrast, a high percentage of CD69+ lymphocytes is observed in pregnant patients with AH1N1 influenza, another respiratory virus challenge that leads to unregulated inflammation in the lungs [41]. These data suggest that depending on the virus that infects pregnant women, different leucocytes become activated, which may require modifications in medical treatment to obtain better results.

Pregnancy is a unique immunological condition, and viral infection represents a major challenge that could alter the immune balance. Innate and acquired responses are participants of a highly regulated immune response in pregnancy [6, 8]. CD39 and CD73 are ectoenzymes that sequentially metabolize ATP to adenosine, leading to an anti-inflammatory response [27, 32]. Dorneles et al. showed a higher percentage of CD4+CD39+ cells in severe COVID-19 patients than in healthy controls and a lower percentage of CD4+CD73+ cells than in controls [30], suggesting that this could be a useful marker to follow progression in the general population with COVID-19. Our results showed that the percentage of CD39+ or CD73+ B or T cells was not significantly modified by the effects of pregnancy or COVID-19 infection (Fig 1). However, we observed higher percentages of CD39+ monocytes and a lower percentage of CD73+ cells in both pregnant women with and without COVID-19 than in nonpregnant COVID-19+ women (Fig 1). Therefore, pregnant women may modulate inflammation through CD39+ or CD73+ monocytes; these monocytes, as suggested for the general population, could be a potential marker to monitor the evolution of pregnant women hospitalized for COVID-19. Since early growth and remodeling occur in pregnancy, several opportunities to release alarmins (such as ATP) are quite possible; in this regard, CD39- and CD73-positive cells could be useful to maintain the regulation of inflammation. Whether this mechanism could also be involved in limiting the inflammatory response in pregnant women with asymptomatic SARS-CoV-2 infection or in mild COVID-19 has to be elucidated.

Activated leucocytes are a potential source of proinflammatory or regulatory cytokines in the peripheral blood of COVID-19 patients. We determined the percentages of IL-1β+, IL-6+ and IFN-γ leucocytes after 4 hours of culture with or without polyclonal stimulation. CD4+IL-6+ or IFN-γ+, CD8+IL-6+ or IFN-γ+ lymphocytes and IL-1β+ or IL-6+ monocytes did not reach more than 5% of circulating cells, indicating a low baseline of leucocyte producers for these cytokines in blood. After stimulation with human rIL6, there was no significant increase in IL-1β, IL-6 or IFN-γ lymphocyte or monocyte producers, suggesting that human rIL-6 in COVID-19 patients may not induce the synthesis of proinflammatory cytokines by circulating leucocytes. Polyclonal stimulation with LPS increases the percentage of IL-1β+ or IL-6+ monocytes, and PMA/Ion increases the proportion of CD4+IFN-γ+ and CD8+IFN-γ+ T cells, indicating that despite pregnancy or SARS-CoV-2 infection, mononuclear cells are not anergic and retain the ability to express a cytokine response. We observed a trend toward an increase in the percentage of IL-6+ monocytes and a decrease in the percentage of CD4+IFN-γ+ and CD8+IFN-γ+ lymphocytes in COVID-19 patients, indicating that mononuclear cells support a high concentration of IL-6 and a low response to IFN-γ.

Serological TNF-α, IL-6, CCL4 and IL-4 levels were higher in P-COVID-19+ than in P-COVID-19-, although TNF-α was significantly higher in P-COVID-19+ than in P-COVID-19- (Fig 3A). Interestingly, we also found the highest concentration of IL-4 in the P-COVID-19+ and reached a statistically significant difference with P-COVID-19+ (p = 0.025) and P-COVID-19- (p = 0.012). Our results indicate a similar proinflammatory profile in COVID-19+ patients with or without pregnancy and probably regulated at least partially by IL-4 in pregnant women. Additionally, syncytiotrophoblasts in the human placenta secrete vesicle-enclosed microRNAs that could limit viral infections [42]. It has been reported that Let-7 is a miRNA expressed in human cells, let-7a and let-7c inhibit the expression of IL-6, and the increase in the levels of let-7-5p and let-7-3p reduces the expression of IL-1β, IL-8, CCL2 and GM-CSF in cell lines [43]. These results open the possibility that the human placenta regulates cytokine storms in SARS-CoV-2 through miRNAs by the placenta, and more studies are necessary to probe this hypothesis. Some reports have shown that the CXCL10 concentration in serum is associated with poor prognosis in COVID-19+ patients [18]. In contrast, we observed lower CXCL10 concentrations in pregnant COVID-19+ patients than in NP-COVID-19+ patients. This suggests that the immune response in pregnancy is less severe than in the general population.

After polyclonal stimulation, the basal and leucocyte responses showed a similar production of cytokines among the groups (Fig 4), indicating that although COVID-19 peripheral leucocytes have a similar capacity to produce cytokines and suggesting that no anergy or hyperresponse is supported by SARS-CoV-2 infection in leucocytes, hypercytokinemia in COVID-19 could depend not only on leucocytes but also on an alternate source, such as endothelial cells. Human rIL-6 stimulus caused an increase in some cytokines, such as TNF-α and CCL3, indicating that IL-6 signaling favors the synthesis of some cytokines but not the entire set of cytokines related to the so-called cytokine storm. In addition, the response to IL-6 in COVID-19 seems to be similar in the presence or absence of pregnancy, indicating that pregnancy does not necessarily aggravate the proinflammatory responses (at least the leucocyte responses) in COVID-19. To explore whether the leucocyte response is limited by COVID-19, we stimulated cells with LPS or PMA/Ion, and a clear proinflammatory response with cytokines such as TNF-α, CCL3, CCL4, IL-17a, CCL23 and CXCL8 was detected in the supernatant, indicating that leucocytes are not anergic. It has been proposed that immunosuppression rather than a hypercytokine response in COVID-19 could support the pathophysiology [44]. Our results indicate that peripheral blood leucocytes from pregnant women with COVID-19 are capable of expressing a similar response to those from healthy pregnant women.

The main limitation of the present study is the limited number of patients and observations. A greater number of observations is required to reach more certain conclusions. However, the reproducibility and consistency of these results back our analysis. We propose that CD39/CD73 expression in leucocytes, mainly monocytes, could be a candidate to monitor the evolution of COVID-19. On the other hand, unlike in the general population, D-dimer concentrations in pregnant women are not necessarily a marker for severity or thromboembolic risk. Our findings showed that the immune profile in pregnant women was similar to that in nonpregnant women when both were hospitalized for COVID-19. Nevertheless, the slight differences in peripheral leucocyte immunophenotypes suggest that pregnancy elicited pathophysiological mechanisms during COVID-19 infection that require future studies to be clarified.

Supporting information

S1 Table. Percentage of leucocytes after 4 hours of medium culture in pregnant and nonpregnant women with or without COVID-19.

(TIF)

Click here for additional data file. (144.4KB, tif)
S2 Table. Surface of activation markers on leucocytes in pregnant and nonpregnant women with or without COVID-19.

(TIF)

Click here for additional data file. (120.5KB, tif)
S3 Table. Cytokine-positive leucocyte percentage after 4 hours of polyclonal stimulus in pregnant and nonpregnant women with or without COVID-19.

(TIF)

Click here for additional data file. (133.4KB, tif)
S1 Fig. Similar cytokine/chemokine serum concentrations in pregnant and nonpregnant women with or without COVID-19.

Serum was isolated, and cytokine/chemokine concentrations were determined using bead-based immunoassays as described in the methods. The results are expressed as the mean±SD. Significance value was p<0.05. Kruskal–Wallis and Dunn’s multiple comparisons tests were calculated. Non-Pregnant COVID-19 positive (NP-COVID-19+, n = 13). Pregnant COVID-19 positive (P-COVID-19+, n = 15–16). Pregnant COVID-19 negative (P-COVID-19-, n = 13).

(TIF)

Click here for additional data file. (3.6MB, tif)
S2 Fig. Similar cytokine/chemokine response after 4 hours of culture with polyclonal stimulus in pregnant and nonpregnant women with or without COVID-19.

The supernatant was collected, and cytokine/chemokine concentrations were determined using bead-based immunoassays as described in the methods. The results are expressed as the mean±SD. Significance value was p<0.05. Kruskal–Wallis and Dunn’s multiple comparisons tests were calculated. Non-Pregnant COVID-19 positive (NP-COVID-19+, n = 3). Pregnant COVID-19 positive (P-COVID-19+, n = 9–10). Pregnant COVID-19 negative (P-COVID-19-, n = 12). WB, Whole Blood.

(TIF)

Click here for additional data file. (3.6MB, tif)
S1 Data

(XLSX)

Click here for additional data file. (78.5KB, xlsx)

Acknowledgments

The authors extend gratitude to the staff at the Specialties Hospital, National Medical Center "XXI Century", Gynecology & Obstetrics Department in the General Hospital of Mexico “Dr. Eduardo Liceaga” and Gynecology & Obstetric Hospital No. 4 UMAE “Dr. Luis Castelazo Ayala”.

Data Availability

All relevant data are within the manuscript and its Supporting information files.

Funding Statement

CLM awarded a Project No. 313494 by the Mexican National Research Council (CONACyT). https://conacyt.mx/ The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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PONE-D-21-29626The percentage of Monocytes CD39+ is higher in Pregnant COVID19+ than in Non-Pregnant COVID19+ patientsPLOS ONE

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Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Partly

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: No

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Review of Manuscript for PLOS ONE

Reviewer: Riad Bayoumi

PONE-D-21-29626, entitled "The percentage of Monocytes CD39+ is higher in Pregnant COVID19+ than in Non-Pregnant COVID19+ patients".

Review:

1. The study presents the results of original research.

2. Results reported have not been published elsewhere.

3. Experiments, statistics, and other analyses are described in sufficient detail.

4. Conclusions presented are not appropriate and are not supported by the data.

a. The authors did not refer to the purinergic pathway in all sections of the MS, even though the CD39 and CD73 data were available to them.

b. In spite of available data on both CD39 and CD73 authors interpretation of their data and conclusions did not touch on immune suppression/uncontrolled inflammation by [+/-] Adenosine seen in women with a cytokine storm.

c. Several new articles on the subject have not been referred to: (Alahmadi et al, 2020: Cells);

(Alberca et al 2020 Frontiers in Immunology); (Chen et al, 2021 Signal transduction); (Dorneles et al, 2021; MedRxiv).

5. The article is presented in very poor English. It must be edited by an English native speaker.

6. The research meets all applicable standards for the ethics of experimentation and research integrity.

7. The article adheres to appropriate reporting guidelines and community standards for data availability.

Reviewer #2: The manuscript is very interesting exploring a new immunological field. In my opinion the Authors should better explain the maternal-fetal tolerance that is the key point of the current research. Please mark the suggestive clinical and laboratory characteristics.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

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Reviewer #1: No

Reviewer #2: Yes: Raffaele Falsaperla

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

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PLoS One. 2022 Jul 28;17(7):e0264566. doi: 10.1371/journal.pone.0264566.r002

Author response to Decision Letter 0

6 Jan 2022

Eliseo A Eugenin, Ph.D.

Academic Editor

PLOS ONE

Dear Doctor

Authors want to thank the journal and reviewers, your comments and suggestions really help to improve our manuscript. All points raised by the reviewers were addressed to improve the clarity of the manuscript.

Attending PLOS ONE requirements, we did:

1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming.

RE: Now the manuscript meets PLOS ONE's style requirements, including those for file naming.

2. We note that you have provided funding information within the Acknowledgements Section. Please note that funding information should not appear in the Acknowledgments section or other areas of your manuscript. We will only publish funding information present in the Funding Statement section of the online submission form. Please remove any funding-related text from the manuscript and let us know how you would like to update your Funding Statement.

RE: We remove funding information from the manuscript.

3. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety.

RE: We upload minimal underlying data in an excel file, and verified that all patient´s information is fully anonymized.

4. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly.

RE: We include captions for supporting information files, and update any in-text citations to match accordingly.

5. Please amend the manuscript submission data (via Edit Submission) to include author “C. De Lira-Barraza, A. Esquivel-Pineda, G. Flores-Padilla”

RE: We include authors “C. De Lira-Barraza, A. Esquivel-Pineda, and G. Flores-Padilla”

Comments to the Author

6. Conclusions presented are not appropriate and are not supported by the data.

a. The authors did not refer to the purinergic pathway in all sections of the MS, even though the CD39 and CD73 data were available to them.

b. In spite of available data on both CD39 and CD73 authors interpretation of their data and conclusions did not touch on immune suppression/uncontrolled inflammation by [+/-] Adenosine seen in women with a cytokine storm.

c. Several new articles on the subject have not been referred to: (Alahmadi et al, 2020: Cells); (Alberca et al 2020 Frontiers in Immunology); (Chen et al, 2021 Signal transduction); (Dorneles et al, 2021; MedRxiv).

RE: We apologize if the first version of our manuscript expresses conclusions not appropriate and not supported by the data, we modified the text and hope that this mistake have been solved now. The changes are highlighted in yellow in the manuscript. In addition, we have cited the articles suggested by the reviewers which now appear in reference section.

7. The article is presented in very poor English. It must be edited by an English native speaker.

RE: The manuscript English editing (language, grammar, punctuation, spelling, and overall style) was performed by AJE which is one the most prestigious qualified native English-speaking editors. We include the editing certificate we received from them.

8. The manuscript is very interesting exploring a new immunological field. In my opinion the Authors should better explain the maternal-fetal tolerance that is the key point of the current research. Please mark the suggestive clinical and laboratory characteristics.

RE: We agree that the maternal-fetal tolerance is the key point of the current research, however, functional analysis was limited and we want to be prudent at this respect. We made some changes in the text that we hope could help to address this point.

Finally, while performing the manuscript revision to address the reviewers’ comments we identified an error: two patients were wrongly assigned to P-COVID-19+ group; one of them belonged to the NP-COVID-19+ group and the other to the P-COVID19- group. With the corrected groups, we performed the statistical analysis for all demographic, clinical, cytokine/chemokine, immunophenotype and functional data. Despite some p values changed in the significance value (<0.001 vs <0.05, for example), it did not change neither the significance nor the direction of the results. We clarify that the messages of the figures (even with the corrections) are the same, as well as the general conclusion. We apologize for this mistake and, in the understanding that true data is the essence of science, we really appreciate the opportunity to present you this improve and corrected version of our manuscript.

Sincerely yours,

Corresponding author:

Arturo Cérbulo Vázquez. MD. PhD

Hospital General de México “Dr. Eduardo Liceaga”

E-mail: cerbulo@unam.mx

Attachment

Submitted filename: PLOS ONE Resubmited.docx

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Decision Letter 1

Eliseo A Eugenin

14 Feb 2022

The percentage of CD39+ monocytes is higher in pregnant COVID-19+ patients than in nonpregnant COVID-19+ patients

PONE-D-21-29626R1

Dear Dr.  Cérbulo-Vázquez,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org.

If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

Kind regards,

Eliseo A Eugenin, Ph.D.

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Dear Dr. Cerbulo-Vazquez

Thank you for submit the response to the comments of the reviewers.

Best regards

Eliseo

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Acceptance letter

Eliseo A Eugenin

1 Mar 2022

PONE-D-21-29626R1

The percentage of CD39+ monocytes is higher in pregnant COVID-19+ patients than in nonpregnant COVID-19+ patients

Dear Dr. Cérbulo-Vázquez:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org.

If we can help with anything else, please email us at plosone@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Dr. Eliseo A Eugenin

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Table. Percentage of leucocytes after 4 hours of medium culture in pregnant and nonpregnant women with or without COVID-19.

    (TIF)

    Click here for additional data file. (144.4KB, tif)
    S2 Table. Surface of activation markers on leucocytes in pregnant and nonpregnant women with or without COVID-19.

    (TIF)

    Click here for additional data file. (120.5KB, tif)
    S3 Table. Cytokine-positive leucocyte percentage after 4 hours of polyclonal stimulus in pregnant and nonpregnant women with or without COVID-19.

    (TIF)

    Click here for additional data file. (133.4KB, tif)
    S1 Fig. Similar cytokine/chemokine serum concentrations in pregnant and nonpregnant women with or without COVID-19.

    Serum was isolated, and cytokine/chemokine concentrations were determined using bead-based immunoassays as described in the methods. The results are expressed as the mean±SD. Significance value was p<0.05. Kruskal–Wallis and Dunn’s multiple comparisons tests were calculated. Non-Pregnant COVID-19 positive (NP-COVID-19+, n = 13). Pregnant COVID-19 positive (P-COVID-19+, n = 15–16). Pregnant COVID-19 negative (P-COVID-19-, n = 13).

    (TIF)

    Click here for additional data file. (3.6MB, tif)
    S2 Fig. Similar cytokine/chemokine response after 4 hours of culture with polyclonal stimulus in pregnant and nonpregnant women with or without COVID-19.

    The supernatant was collected, and cytokine/chemokine concentrations were determined using bead-based immunoassays as described in the methods. The results are expressed as the mean±SD. Significance value was p<0.05. Kruskal–Wallis and Dunn’s multiple comparisons tests were calculated. Non-Pregnant COVID-19 positive (NP-COVID-19+, n = 3). Pregnant COVID-19 positive (P-COVID-19+, n = 9–10). Pregnant COVID-19 negative (P-COVID-19-, n = 12). WB, Whole Blood.

    (TIF)

    Click here for additional data file. (3.6MB, tif)
    S1 Data

    (XLSX)

    Click here for additional data file. (78.5KB, xlsx)
    Attachment

    Submitted filename: PLOS ONE Resubmited.docx

    Click here for additional data file. (24.4KB, docx)

    Data Availability Statement

    All relevant data are within the manuscript and its Supporting information files.

    Articles from PLoS ONE are provided here courtesy of PLOS

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