Association of Dietary Inflammatory Index with Serum IL-6, IL-10, and CRP Concentration during Pregnancy
Abstract
:1. Introduction
2. Material and Methods
2.1. Participants
2.2. Blood Samples
2.3. Biochemical Measurements
2.3.1. Determination of IL-6 and IL-10 Concentrations
2.3.2. Determination of CRP Concentration
2.4. Dietary Inflammatory Index (DII)
2.5. Statistical Analysis
3. Results
3.1. Participant Baseline Characteristics
3.2. DII Score and Serum CRP, IL-6, and IL-10 Levels during Pregnancy
3.3. Comparison of Serum Concentrations of IL-6, IL-10, and CRP Depending on the Median Score of the DII during Pregnancy
3.4. Correlation Analysis of DII Score with IL-6, IL-10, and CRP Levels in the Particular Trimesters
3.5. Correlation Analysis of DII Score with IL-6, IL-10, and CRP Levels in the Particular Trimesters among Pregnant Women with Normal Pregnancy
3.6. Correlation Analysis of DII Score with IL-6, IL-10, and CRP Levels in the Particular Trimesters among Pregnant Women with Complicated Pregnancy
4. Discussion
Limitations of the Study
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Makhseed, M. Th1 and Th2 cytokine profiles in recurrent aborters with successful pregnancy and with subsequent abortions. Hum. Reprod. 2001, 16, 2219–2226. [Google Scholar] [CrossRef]
- Mor, G.; Aldo, P.; Alvero, A.B. The unique immunological and microbial aspects of pregnancy. Nat. Rev. Immunol. 2017, 17, 469–482. [Google Scholar] [CrossRef]
- Fu, Y.; Tang, L.; Hu, M.; Xiang, Z.-Y.; Hu, Y.; Liu, Q. Changes of serum interleukin-6 in healthy pregnant women and establishment of relevant reference intervals. Clin. Chim. Acta 2020, 502, 116–119. [Google Scholar] [CrossRef]
- Tagoma, A.; Haller-Kikkatalo, K.; Roos, K.; Oras, A.; Kirss, A.; Ilonen, J.; Uibo, R. Interleukin-7, T helper 1, and regulatory T-cell activity-related cytokines are increased during the second trimester of healthy pregnancy compared to non-pregnant women. Am. J. Reprod. Immunol. 2019, 82, e13188. [Google Scholar] [CrossRef]
- Kalva-Borato, D.C.; Ribas, J.T.; Parabocz, G.C.; Borba, L.M.; Maciel, M.A.S.; Dos Santos, F.A.; Vellosa, J. Biomarkers in Non-Complicated Pregnancy: Insights About Serum Myeloperoxidase and Ultrasensitive C-Reactive Protein. Exp. Clin. Endocrinol. Diabetes 2018, 127, 585–589. [Google Scholar] [CrossRef]
- Hanna, N.; Hanna, I.; Hleb, M.; Wagner, E.; Dougherty, J.; Balkundi, D.; Padbury, J.; Sharma, S. Gestational age-dependent expression of IL-10 and its receptor in human placental tissues and isolated cytotrophoblasts. J. Immunol. 2000, 164, 5721–5728. [Google Scholar] [CrossRef] [Green Version]
- Austgulen, R.; Lien, E.; Liabakk, N.-B.; Jacobsen, G.; Arntzen, K.J. Increased levels of cytokines and cytokine activity modifiers in normal pregnancy. Eur. J. Obstet. Gynecol. Reprod. Boil. 1994, 57, 149–155. [Google Scholar] [CrossRef]
- Mei, Z.; Li, H.; Serdula, M.K.; Flores-Ayala, R.C.; Wang, L.; Liu, J.-M.; Grummer-Strawn, L.M. C-reactive protein increases with gestational age during pregnancy among Chinese women. Am. J. Hum. Boil. 2016, 28, 574–579. [Google Scholar] [CrossRef]
- Yu, N.; Cui, H.; Chen, X.; Chang, Y. Changes of serum pentraxin-3 and hypersensitive CRP levels during pregnancy and their relationship with gestational diabetes mellitus. PLoS ONE 2019, 14, e0224739. [Google Scholar] [CrossRef] [Green Version]
- Moghaddam-Banaem, L.; Mohamadi, B.; Jafarabadi, M.A.; Alianmoghaddam, N. Maternal serum C-reactive protein in early pregnancy and occurrence of preterm premature rupture of membranes and preterm birth. J. Obstet. Gynaecol. Res. 2012, 38, 780–786. [Google Scholar] [CrossRef]
- Azizieh, F.; Dingle, K.; Raghupathy, R.; Johnson, K.; Vanderplas, J.; Ansari, A.R. Multivariate analysis of cytokine profiles in pregnancy complications. Am. J. Reprod. Immunol. 2018, 79, e12818. [Google Scholar] [CrossRef] [Green Version]
- Ronzoni, S.; Steckle, V.; D’Souza, R.; Murphy, K.E.; Lye, S.; Shynlova, O. Cytokine Changes in Maternal Peripheral Blood Correlate with Time-to-Delivery in Pregnancies Complicated by Premature Prelabor Rupture of the Membranes. Reprod. Sci. 2018, 26, 1266–1276. [Google Scholar] [CrossRef]
- Cubro, H.; Kashyap, S.; Nath, M.C.; Ackerman, A.W.; Garovic, V.D. The Role of Interleukin-10 in the Pathophysiology of Preeclampsia. Curr. Hypertens. Rep. 2018, 20, 36. [Google Scholar] [CrossRef]
- Esmaillzadeh, A.; Kimiagar, M.; Mehrabi, Y.; Azadbakht, L.; Hu, F.B.; Willett, W.C. Dietary Patterns and Markers of Systemic Inflammation among Iranian Women. J. Nutr. 2007, 137, 992–998. [Google Scholar] [CrossRef]
- Lopez-Garcia, E.; Schulze, M.B.; Fung, T.T.; Meigs, J.B.; Rifai, N.; Manson, J.E.; Hu, F.B. Major dietary patterns are related to plasma concentrations of markers of inflammation and endothelial dysfunction. Am. J. Clin. Nutr. 2004, 80, 1029–1035. [Google Scholar] [CrossRef] [Green Version]
- Lahoz, C.; Castillo, E.; Mostaza, J.M.; De Dios, O.; Salinero-Fort, M.A.; González-Alegre, T.; García-Iglesias, F.; Estirado, E.; Laguna, F.; Sanchez, V.; et al. Relationship of the Adherence to a Mediterranean Diet and Its Main Components with CRP Levels in the Spanish Population. Nutrients 2018, 10, 379. [Google Scholar] [CrossRef] [Green Version]
- Hrolfsdottir, L.; Schalkwijk, C.G.; Birgisdóttir, B.E.; Gunnarsdottir, I.; Maslova, E.; Granström, C.; Strøm, M.; Olsen, S.F.; Haldorsson, T. Maternal diet, gestational weight gain, and inflammatory markers during pregnancy. Obesity 2016, 24, 2133–2139. [Google Scholar] [CrossRef]
- Cavicchia, P.P.; Steck, S.E.; Hurley, T.G.; Hussey, J.R.; Ma, Y.; Ockene, I.S.; Hébert, J.R. A New Dietary Inflammatory Index Predicts Interval Changes in Serum High-Sensitivity C-Reactive Protein. J. Nutr. 2009, 139, 2365–2372. [Google Scholar] [CrossRef]
- Shivappa, N.; Hebert, J.R.; Rietzschel, E.R.; De Buyzere, M.L.; Langlois, M.; Debruyne, E.; Marcos, A.; Huybrechts, I. Associations between dietary inflammatory index and inflammatory markers in the Asklepios Study. Br. J. Nutr. 2015, 113, 665–671. [Google Scholar] [CrossRef] [Green Version]
- Lee, A.; Muggli, E.; Halliday, J.; Lewis, S.; Gasparini, E.; Forster, D. What do pregnant women eat, and are they meeting the recommended dietary requirements for pregnancy? Midwifery 2018, 67, 70–76. [Google Scholar] [CrossRef]
- Blondin, J.H.; Logiudice, J.A. Pregnant women’s knowledge and awareness of nutrition. Appl. Nurs. Res. 2018, 39, 167–174. [Google Scholar] [CrossRef]
- Sen, S.; Rifas-Shiman, S.L.; Shivappa, N.; Wirth, M.D.; Hébert, J.R.; Gold, D.R.; Gillman, M.W.; Oken, E. Dietary Inflammatory Potential during Pregnancy Is Associated with Lower Fetal Growth and Breastfeeding Failure: Results from Project Viva. J. Nutr. 2016, 146, 728–736. [Google Scholar] [CrossRef]
- Madan, J.C.; Davis, J.M.; Craig, W.Y.; Collins, M.; Allan, W.; Quinn, R.; Dammann, O. Maternal obesity and markers of inflammation in pregnancy. Cytokine 2009, 47, 61–64. [Google Scholar] [CrossRef]
- Schmatz, M.; Madan, J.C.; Marino, T.; Davis, J. Maternal obesity: The interplay between inflammation, mother and fetus. J. Perinatol. 2009, 30, 441–446. [Google Scholar] [CrossRef] [Green Version]
- McCullough, L.E.; Miller, E.E.; Calderwood, L.E.; Shivappa, N.; Steck, S.E.; Forman, M.R.; Mendez, M.A.; Maguire, R.; Fuemmeler, B.F.; Kollins, S.H.; et al. Maternal inflammatory diet and adverse pregnancy outcomes: Circulating cytokines and genomic imprinting as potential regulators? Epigenetics 2017, 12, 688–697. [Google Scholar] [CrossRef]
- Shivappa, N.; Steck, S.E.; Hurley, T.G.; Hussey, J.R.; Hebert, J.R. Designing and developing a literature-derived, population-based dietary inflammatory index. Public Health Nutr. 2013, 17, 1689–1696. [Google Scholar] [CrossRef] [Green Version]
- Mendes, F.D.C.; Thawer, S.; Shivappa, N.; Hebert, J.R.; Burney, P.G.J.; Garcia-Larsen, V. Dietary Inflammatory Index (DII®) and Lung Function in Adults from Ten European Countries—Evidence from the GA2LEN Follow-Up Survey. Curr. Dev. Nutr. 2020, 4, 1393. [Google Scholar] [CrossRef]
- Sen, S.; Rifas-Shiman, S.L.; Shivappa, N.; Wirth, M.D.; Hebert, J.R.; Gold, D.R.; Gillman, M.W.; Oken, E. Associations of prenatal and early life dietary inflammatory potential with childhood adiposity and cardiometabolic risk in Project Viva. Pediatr. Obes. 2017, 13, 292–300. [Google Scholar] [CrossRef]
- Stråvik, M.; Jönsson, K.; Hartvigsson, O.; Sandin, A.; Wold, A.E.; Sandberg, A.-S.; Barman, M. Food and Nutrient Intake during Pregnancy in Relation to Maternal Characteristics: Results from the NICE Birth Cohort in Northern Sweden. Nutrition 2019, 11, 1680. [Google Scholar] [CrossRef] [Green Version]
- Hillier, S.E.; Olander, E.K. Women’s dietary changes before and during pregnancy: A systematic review. Midwifery 2017, 49, 19–31. [Google Scholar] [CrossRef] [Green Version]
- Wesołowska, E.; Jankowska, A.; Trafalska, E.; Kałużny, P.; Grzesiak, M.; Dominowska, J.; Hanke, W.; Calamandrei, G.; Polanska, K. Sociodemographic, Lifestyle, Environmental and Pregnancy-Related Determinants of Dietary Patterns during Pregnancy. Int. J. Environ. Res. Public Health 2019, 16, 754. [Google Scholar] [CrossRef] [Green Version]
- Malek, A.; Bersinger, N.; Di Santo, S.; Mueller, M.; Sager, R.; Schneider, H.; Ghezzi, F.; Karousou, E.; Passi, A.; De Luca, G.; et al. C-Reactive Protein Production in Term Human Placental Tissue. Placenta 2006, 27, 619–625. [Google Scholar] [CrossRef]
- Shivappa, N.; Wirth, M.D.; Hurley, T.G.; Hébert, J.R. Association between the dietary inflammatory index (DII) and telomere length and C-reactive protein from the National Health and Nutrition Examination Survey-1999-2002. Mol. Nutr. Food Res. 2017, 61, 1600630. [Google Scholar] [CrossRef]
- Shivappa, N.; Wirth, M.D.; Murphy, E.A.; Hurley, T.G.; Hebert, J.R. Association between the Dietary Inflammatory Index (DII) and urinary enterolignans and C-reactive protein from the National Health and Nutrition Examination Survey-2003–2008. Eur. J. Nutr. 2018, 58, 797–805. [Google Scholar] [CrossRef]
- Tabung, F.K.; Steck, S.E.; Zhang, J.; Ma, Y.; Liese, A.D.; Agalliu, I.; Hingle, M.; Hou, L.; Hurley, T.G.; Jiao, L.; et al. Construct validation of the dietary inflammatory index among postmenopausal women. Ann. Epidemiol. 2015, 25, 398–405. [Google Scholar] [CrossRef] [Green Version]
- Shivappa, N.; Steck, S.E.; Hurley, T.G.; Hussey, J.R.; Ma, Y.; Ockene, I.S.; Tabung, F.K.; Hebert, J.R. A population-based dietary inflammatory index predicts levels of C-reactive protein in the Seasonal Variation of Blood Cholesterol Study (SEASONS). Public Health Nutr. 2013, 17, 1825–1833. [Google Scholar] [CrossRef]
- Kotemori, A.; Sawada, N.; Iwasaki, M.; Yamaji, T.; Shivappa, N.; Hebert, J.R.; Ishihara, J.; Inoue, M.; Tsugane, S.; JPHC FFQ Validation Study Group. Validating the dietary inflammatory index using inflammatory biomarkers in a Japanese population: A cross-sectional study of the JPHC-FFQ validation study. Nutrition 2019, 69, 110569. [Google Scholar] [CrossRef]
T I n = 36 | T II n = 41 | T III n = 34 | |
---|---|---|---|
Pregnancy complications n (% of group) | |||
No | 31 (86.1%) | 18 (43.9%) | 12 (35.3%) |
Yes | 5 (13.9%) | 23 (56.1%) | 22 (64.7%) |
Hypothyroidism | 2 (5.5%) | 8 (20.4%) | 7 (20.6%) |
Gestational diabetes mellitus | 2 (5.5%) | 2 (4.9%) | 5 (14.7%) |
Urinary tract infections | 1 (2.9%) | 11 (26.8%) | 6 (17.6%) |
Hypertension | - | 1(2.4%) | - |
Anemia | - | 1 (2.4%) | 4 (11.8%) |
Weight (kg) | 63.12 ± 11.04 | 69.32 ± 12.06 | 75.28 ± 12.09 |
Pregnancy (weeks) | 10.98 ± 2.97 | 22.24 ± 3.45 | 33.97 ± 2.46 |
Mean age (year) 30.6 ± 5.4 | |||
Education n (% of group) | |||
Elementary school | 1 (2.2%) | ||
High school | 8 (17.7%) | ||
Higher education | 36 (80.1%) | ||
Place of residence n (% of group) | |||
Urban | 39 (86.6%) | ||
Rural | 6 (13.4%) | ||
Smoking cigarettes n (% of group) | |||
Current smoker | 2 (4.4%) | ||
Quit smoking | 16 (35.5%) | ||
Never smoked | 27 (60.1%) |
T I | T II | T III | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total n = 36 | Normal Pregnancy n = 31 | Complicated Pregnancy n = 5 | p | Total n = 41 | Normal Pregnancy n = 18 | Complicated Pregnancy n = 23 | p | Total n = 34 | Normal Pregnancy n = 12 | Complicated Pregnancy n = 22 | p | p for Trimesters | |
DII | −1.78 (−2.65:−0.40) | −1.58 (−2.64:−0.26) | −2.32 (−2.96:−2.04) | 0.397 | −2.43 (−3.40:−0.91) | −2.48 (−3.71:−1.55) | −1.94 (−3.23:−0.78) | 0.563 | −2.71 (−3.56:−1.27) | −2.90 (−3.81:−1.31) | −2.61 (−3.32:−1.27) | 0.801 | 0.092 |
CRP (mg/L) | 1.26 (0.47:2.61) | 1.31 (0.44:2.55) | 1.05 (0.85:4.30) | 0.348 | 2.93 (1.74:5.72) | 3.19 (2.31:5.72) | 2.79 (1.56:6.01) | 0.634 | 2.51 (1.27:3.66) | 2.45 (0.84:2.90) | 2.95 (1.40:5.40) | 0.194 | 0.002 |
IL-6 (pg/mL) | 6.10 (2.45:6.80) | 6.00 (2.50:6.70) | 6.50 (2.40:7.10) | 0.714 | 6.60 (5.70:7.00) | 6.60 (5.50:7.00) | 6.20 (5.80:7.20) | 0.875 | 6.85 (6.20:7.40) | 6.85 (6.50:7.45) | 6.75 (6.00:7.30) | 0.665 | 0.021 |
IL-10 (pg/mL) | 13.00 (8.40:14.35) | 13.00 (8.60:14.40) | 12.5 (6,.0:13.30) | 0.436 | 13.60 (12.00:14.60) | 13.7 (13.20:14.60) | 13.50 (12.00:15.00) | 0.927 | 13.70 (12.90:14,60) | 14.00 (13.15:14.70) | 13.60 (12.90:4.40) | 0.745 | 0.240 |
T I | T II | T III | |||||||
---|---|---|---|---|---|---|---|---|---|
DII < Median | DII > Median | p | DII < Median | DII > Median | p | DII < Median | DII > Median | p | |
Total | |||||||||
Median= −1.78 | Median = −2.48 | Median = −2.71 | |||||||
n = 18 | n = 18 | n = 21 | n = 20 | n = 17 | n = 17 | ||||
IL-6 (pg/mL) | 6.25 (1.80:7.10) | 5.55 (1.80:8.10) | 0.635 | 6.45 (1.90:9.50) | 6.60 (2.70:9.50) | 0.705 | 6.60 (2.40:7.60) | 6.90 (1.80:9.90) | 0.309 |
IL-10 (pg/mL) | 13.25 (5.00:16.60) | 12.25 (5.00:22.05) | 0.235 | 13.50 (5.40:60.00) | 13.70 (5.20:16.20) | 0.368 | 13.50 (5.50:16.90) | 14.00 (4.30:16.40) | 0.370 |
CRP (mg/L) | 1.26 (0.40:12.37) | 1.20 (0.14:8.55) | 0.752 | 3.71 (0.27:17.49) | 2.86 (0.21:9.58) | 0.322 | 2.45 (0.35:5.58) | 2.57 (0.20:15.96) | 0.249 |
Normal pregnancy | |||||||||
Median = −1.58 | Median = −2.53 | Median = −2.80 | |||||||
n = 15 | n = 16 | n = 9 | n = 9 | n = 6 | n = 6 | ||||
IL-6 (pg/mL) | 6.30 (1.80:7.10) | 4.30 (1.80:8.10) | 0.243 | 6.70 (2.20:7.70) | 6.60 (1.90:7.20) | 0.596 | 6.55 (2.40:7.40) | 7.05 (6.50:8.40) | 0.262 |
IL-10 (pg/mL) | 14.00 (5.00:16.60) | 11.15 (5.60:22.05) | 0.069 | 13.6 (5.60:15.10) | 13.7 (5.20:15.40) | 0.459 | 13.10 (5.50:15.40) | 14.00 (13.20:14.80) | 0.810 |
CRP (mg/L) | 1.31 (0.25:12.37) | 1.03 (0.24:5.96) | 0.722 | 4.01 (2.33:13.89) | 2.31 (0.21:7.72) | 0.251 | 2.45 (0.35:3.07) | 2.51 (0.67:5.68) | 0.522 |
Complicated pregnancy | |||||||||
Median = −2.31 | Median = −1.94 | Median = −2.60 | |||||||
n = 3 | n = 2 | n = 12 | n = 11 | n = 11 | n = 11 | ||||
IL-6 (pg/mL) | 6.50 (2.40:7.10) | 4.85 (2.40:7.30) | 1.000 | 6.20 (3.40:9.50) | 6.50 (2.70:6.50) | 0.711 | 6.90 (3.10:7.70) | 6.50 (1.80:9.90) | 0.870 |
IL-10 (pg/mL) | 12.5 (6.50:13.30) | 9.90 (5.40:14.40) | 0.773 | 13.30 (5.40:60.00) | 13.70 (9.00:16.20) | 0.805 | 13.50 (5.96:16.90) | 14.00 (4.30:16.40) | 0.646 |
CRP (mg/L) | 0.85 (0.84:4.30) | 5.01 (1.05:8.97) | 0.386 | 1.56 (0.27:17.49) | 5.27 (1.74:9.58 | 0.034 | 2.98 (0.81:5.58) | 2.02 (0.20:15.96) | 0.511 |
DII I n = 36 | DII I < Me n = 18 | DII I > Me n = 18 | DII II n = 41 | DII II < Me n = 21 | DII II > Me n = 20 | DII III n = 34 | DII III < Me n = 17 | DII III > Me n = 17 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
r | p | r | p | r | p | r | p | r | p | r | p | r | p | r | p | r | p | |
IL-6 | −0.089 | 0.831 | −0.283 | 0.254 | 0.032 | 0.899 | −0.176 | 0.271 | −0.282 | 0.216 | −0.138 | 0.563 | 0.012 | 0.948 | −0.352 | 0.166 | −0.274 | 0.287 |
IL-10 | −0.189 | 0.269 | −0.398 | 0.102 | 0.345 | 0.161 | 0.123 | 0.442 | −0.152 | 0.509 | 0.171 | 0.471 | 0.182 | 0.304 | −0.018 | 0.944 | 0.054 | 0.837 |
CRP | 0.037 | 0.831 | 0.496 | 0.036 | −0.170 | 0.499 | 0.122 | 0.446 | −0.074 | 0.749 | 0.030 | 0.900 | 0.136 | 0.044 | −0.115 | 0.658 | 0.000 | 1.000 |
DII I n = 31 | DII I < Me n = 15 | DII I > Me n = 16 | DII II n = 18 | DII II < Me n = 9 | DII II > Me n = 9 | DII III n = 12 | DII III < Me n = 6 | DII III > Me n = 6 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
r | p | r | p | r | p | R | p | r | p | r | p | r | p | r | p | r | p | |
IL-6 | −0.200 | 0.289 | −0.408 | 0.131 | 0.040 | 0.884 | −0.30 | 0.229 | −0.869 | 0.023 | 0.365 | 0.333 | 0.014 | 0.965 | −0.829 | 0.042 | −0.543 | 0.266 |
IL-10 | −0.308 | 0.092 | −0.445 | 0.96 | 0.331 | 0.210 | 0.055 | 0.827 | −0.733 | 0.024 | 0.133 | 0.732 | −0.42 | 0.896 | −0.429 | 0.396 | −0.086 | 0.872 |
CRP | 0.051 | 0.786 | 0.455 | 0.089 | −0.012 | 0.965 | −0.288 | 0.246 | −0.194 | 0.617 | 0.133 | 0.732 | −0.03 | 0.991 | −0.657 | 0.156 | −0.200 | 0.704 |
DII I n = 5 | DII I < Me n = 3 | DII I > Me n = 2 | DII II n = 23 | DII II < Me n = 12 | DII II > Me n = 11 | DII III n = 22 | DII III < Me n = 11 | DII III > Me n = 11 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
r | p | r | p | r | p | R | p | r | p | r | p | r | p | r | p | r | p | |
IL-6 | 0.564 | 0.322 | 1.000 | - | - | - | −0.149 | 0.498 | 0.104 | 0.748 | −0.458 | 0.157 | 0.020 | 0.930 | 0.018 | 0.958 | −0.041 | 0.904 |
IL-10 | 0.300 | 0.624 | 0.500 | 0.667 | - | - | 0.200 | 0.361 | 0.302 | 0.340 | 0.338 | 0.309 | 0.314 | 0.154 | 0.334 | 0.316 | 0.354 | 0.285 |
CRP | 0.600 | 0.284 | 0.500 | 0.667 | - | - | 0.415 | 0.049 | 0.116 | 0.720 | −0.087 | 0.800 | 0.232 | 0.299 | 0.218 | 0.519 | 0.173 | 0.611 |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Pieczyńska, J.; Płaczkowska, S.; Pawlik-Sobecka, L.; Kokot, I.; Sozański, R.; Grajeta, H. Association of Dietary Inflammatory Index with Serum IL-6, IL-10, and CRP Concentration during Pregnancy. Nutrients 2020, 12, 2789. https://doi.org/10.3390/nu12092789
Pieczyńska J, Płaczkowska S, Pawlik-Sobecka L, Kokot I, Sozański R, Grajeta H. Association of Dietary Inflammatory Index with Serum IL-6, IL-10, and CRP Concentration during Pregnancy. Nutrients. 2020; 12(9):2789. https://doi.org/10.3390/nu12092789
Chicago/Turabian StylePieczyńska, Joanna, Sylwia Płaczkowska, Lilla Pawlik-Sobecka, Izabela Kokot, Rafał Sozański, and Halina Grajeta. 2020. "Association of Dietary Inflammatory Index with Serum IL-6, IL-10, and CRP Concentration during Pregnancy" Nutrients 12, no. 9: 2789. https://doi.org/10.3390/nu12092789
APA StylePieczyńska, J., Płaczkowska, S., Pawlik-Sobecka, L., Kokot, I., Sozański, R., & Grajeta, H. (2020). Association of Dietary Inflammatory Index with Serum IL-6, IL-10, and CRP Concentration during Pregnancy. Nutrients, 12(9), 2789. https://doi.org/10.3390/nu12092789