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Акушерство и Гинекология Санкт-Петербурга. 2018; : 31-34

Прогнозирование преждевременных родов: текущее состояние и перспективы

Мамедова М. А., Беженарь В. Ф.

Аннотация

Преждевременные роды являются одной  из основных  причин перинатальной заболеваемости и смертности. Несмотря на современные достижения в акушерстве и неонаталогии, в развитых странах растет уровень преждевременных родов. По-прежнему остается проблема разработки достоверных прикроватных диагностических методик, позволяющих составить прогноз преждевременных родов и провести профилактические мероприятия.

Проведенный обзор современной литературы показал, что цервикальный фетальный фибронектин (fFN), альфа-фетопротеин, С-реактивный белок и интерлейкин-6 могут иметь общую хорошую диагностическую точность при выявлении беременностей, подверженных риску преждевременных родов.

Список литературы

1. Parkington H.C., Stevenson J., Tonta M.A., Paul J., Butler T., Maiti K. et al. Diminished hERG K+ channel activity facilitates strong human labour contractions but is dysregulated in obese women. Nat Commun. 2014; 17 (5): 4108.

2. Georgiou H.M., Di Quinzio M.K., Permezel M., Brennecke S.P. Predicting Preterm Labour: Current Status and Future Prospects. Hindawi Publishing Corporation, Disease Markers. 2015; Article ID 435014: 9. http://dx.doi.org/10.1155/2015/435014.

3. Goldenberg R.L., Iams J.D., Mercer B.M. et al. The preterm prediction study: toward a multiple-marker test for spontaneous preterm birth. The American Journal of Obstetrics and Gynecology. 2001; 185 (3): 643–651.

4. Imai M., Tani A., Saito M., Saito K., Amano K., Nisijima M. Significance of fetal fibronectin and cytokine measurement in the cervicovaginal secretions of women at term in predicting term labor and post-term pregnancy. European Journal of Obstetrics Gynecology and Reproductive Biology. 2001; 97 (1): 53–58.

5. Goldenberg R.L., Goepfert A.R., Ramsey P.S. Biochemical markers for the prediction of preterm birth. American Journal of Obstetrics and Gynecology 2005;

6. Darne J., McGarrigle H.H.G., Lachelin G.C.L. Increased saliva oestriol to progesterone ratio before idiopathic preterm delivery: a possible predictor for preterm labour? British Medical Journal. 1987; 294 (6567): 270–272.

7. Shankar R., Cullinane F., Brennecke S.P., Moses E.K. Applications of proteomic methodologies to human pregnancy research: a growing gestation approaching delivery? Proteomics. 2004; 4 (7): 1909–1917.

8. Shankar R., Gude N., Cullinane F., Brennecke S., Purcell A.W., Moses E.K. An emerging role for comprehensive proteome analysis in human pregnancy research. Reproduction. 2005; 129 (6): 685–696.

9. Rice G.E., Georgiou H.M., Ahmed N., Shi G., Kruppa G. Translational proteomics: developing a predictive capacity – a review. Placenta. 2006; 27: 76–86.

10. Klein J., Buffin-Meyer B., Mullen W. et al. Clinical proteomics in obstetrics and neonatology. Expert Review of Proteomics. 2014; 11 (1): 75–89.

11. Shankar R., Johnson M.P., Williamson N.A. et al. Molecular markers of preterm labor in the choriodecidua. Reproductive Sciences. 2010; 17 (3): 297–310.

12. Kacerovsky M., Lenco J., Musilova I. et al. Proteomic biomarkers for spontaneous preterm birth: a systematic review of the literature. Reproductive Sciences. 2014; 21 (3): 283–295.

13. Aguin E., Aguin T., Cordoba M. et al. Amniotic fluid inflammation with negative culture and outcome after cervical cerclage. The Journal of Maternal-Fetal & Neonatal Medicine. 2012; 25 (10): 1990–1994.

14. Gervasi M.-T., Romero R., Bracalente G. et al. Midtrimester amniotic fluid concentrations of interleukin-6 and interferongamma-inducible protein-10: evidence for heterogeneity of intra-amniotic inflammation and associations with spontaneous early (<32 weeks) and late (>32 weeks) pretermdelivery. Journal of Perinatal Medicine. 2012; 40 (4): 329–343.

15. Jia X. Value of amniotic fluid IL-8 and Annexin A2 in prediction of preterm delivery in preterm labor and preterm premature rupture of membranes. The Journal of Reproductive Medicine. 2014; 59 (3–4): 154–160.

16. Hsu T.-Y., Lin H., Lan K.-C. et al. High interleukin-16 concentrations in the early second trimester amniotic fluid: an independent predictive marker for preterm birth. Journal of Maternal-Fetal and Neonatal Medicine. 2013; 26 (3):285–289.

17. Malamitsi-Puchner A., Vrachnis N., Samoli E. et al. Possible early prediction of preterm birth by determination of novel proinflammatory factors in midtrimester amniotic fluid. Annals of the New York Academy of Sciences. 2006; 1092: 440–449.

18. Bamberg C., Fotopoulou C., Thiem D., Roehr C.C., Dudenhausen J.W., Kalache K.D. Correlation of midtrimester amniotic fluid cytokine concentrations with adverse pregnancy outcome in terms of spontaneous abortion, preterm birth, 8 Disease Markers and preeclampsia. Journal of Maternal-Fetal and Neonatal Medicine. 2012; 25 (6): 812–817.

19. Lachelin G.C.L., McGarrigle H.H.G., Seed P.T., Briley A., Shennan A.H., Poston L. Low saliva progesterone concentrations are associated with spontaneous early preterm labour (before 34 weeks of gestation) in women at increased risk of preterm delivery. BJOG: An International Journal of Obstetrics&Gynaecology. 2009; 116 (11): 1515–1519.

20. Maged A.M., Mohesen M., Elhalwagy A., Abdelhafiz A. Salivary progesterone and cervical length measurement as predictors of spontaneous preterm birth. J Matern Fetal Neonatal Med. 2015; 28 (10): 1147–51. doi: 10.3109/14767058.2014.947474.

21. Priya B., Mustafa M.D., Guleria K., Vaid N.B., Banerjee B.D., Ahmed R.S. Salivary progesterone as a biochemical marker to predict early pretermbirth in asymptomatic high-risk women. BJOG. 2013; 120 (8): 1003–1011.

22. Hanna N., Kiefer D. A translational view of biomarkers in preterm labor. The American Journal of Reproductive mmunology. 2012; 67 (4): 268–272.

23. Hundley A.F., Onderdonk A.B., Greenberg J.A. Value of routine urine culture in the assessment of preterm labor. J Reprod Med. 2003; 48 (11): 853–857.

24. Heng Y.J., Pennell C.E., McDonald S.W., Vinturache A.E., Xu J., Lee M.W. et al. Maternal Whole Blood Gene Expression at 18 and 28 Weeks of Gestation Associated with Spontaneous Preterm Birth in Asymptomatic Women. PLoS One. 2016; 11 (6): e0155191.

25. Lucaroni F., Morciano L., Rizzo G., D’Antonio F., Buonuomo E., Palombi L. et al. Biomarkers for predicting spontaneous preterm birth: an umbrella systematic review. J Matern Fetal Neonatal Med. 2018; 31 (6): 726–734.

26. Tsiartas P., Holst R.M., Wennerholm U.B. et al. Prediction of spontaneous preterm delivery in women with threatened preterm labour: a prospective cohort study of multiple proteins in maternal serum. BJOG. 2012; 119 (7): 866– 873.

27. Zegels G., VanRaemdonck G.A.A., Tjalma W.A.A., Van Ostade X.W.M. Use of cervicovaginal fluid for the identification of biomarkers for pathologies of the female genital tract. Proteome Science. 2010; 8: 63.

28. Holst R.M., Hagberg H., Wennerholm U.-B., Skogstrand K., Thorsen P., Jacobsson B. Prediction of spontaneous preterm delivery in women with preterm labor: analysis of multiple proteins in amniotic and cervical fluids. Obstetrics and Gynecology. 2009; 114 (2): 268–277.

Obstetrics and Gynaecology of Saint-Petersburg. 2018; : 31-34

Predicting premature birth: current status and prospects

Mamedova M. A., Bezhenar V. F.

Abstract

Premature birth is one of the main causes of perinatal morbidity and mortality. Despite modern achievements in obstetrics and neonatology, the level of preterm labor is growing in developed countries. There is still a problem of developing reliable bedside diagnostic techniques that allow you to forecast premature births and carry out preventive measures.

A recent review of modern literature has shown that cervical fetal fibronectin (fFN), alpha-fetoprotein, C-reactive protein and interleukin-6 can have a generally good diagnostic accuracy in detecting pregnancies at risk of premature birth.

References

1. Parkington H.C., Stevenson J., Tonta M.A., Paul J., Butler T., Maiti K. et al. Diminished hERG K+ channel activity facilitates strong human labour contractions but is dysregulated in obese women. Nat Commun. 2014; 17 (5): 4108.

2. Georgiou H.M., Di Quinzio M.K., Permezel M., Brennecke S.P. Predicting Preterm Labour: Current Status and Future Prospects. Hindawi Publishing Corporation, Disease Markers. 2015; Article ID 435014: 9. http://dx.doi.org/10.1155/2015/435014.

3. Goldenberg R.L., Iams J.D., Mercer B.M. et al. The preterm prediction study: toward a multiple-marker test for spontaneous preterm birth. The American Journal of Obstetrics and Gynecology. 2001; 185 (3): 643–651.

4. Imai M., Tani A., Saito M., Saito K., Amano K., Nisijima M. Significance of fetal fibronectin and cytokine measurement in the cervicovaginal secretions of women at term in predicting term labor and post-term pregnancy. European Journal of Obstetrics Gynecology and Reproductive Biology. 2001; 97 (1): 53–58.

5. Goldenberg R.L., Goepfert A.R., Ramsey P.S. Biochemical markers for the prediction of preterm birth. American Journal of Obstetrics and Gynecology 2005;

6. Darne J., McGarrigle H.H.G., Lachelin G.C.L. Increased saliva oestriol to progesterone ratio before idiopathic preterm delivery: a possible predictor for preterm labour? British Medical Journal. 1987; 294 (6567): 270–272.

7. Shankar R., Cullinane F., Brennecke S.P., Moses E.K. Applications of proteomic methodologies to human pregnancy research: a growing gestation approaching delivery? Proteomics. 2004; 4 (7): 1909–1917.

8. Shankar R., Gude N., Cullinane F., Brennecke S., Purcell A.W., Moses E.K. An emerging role for comprehensive proteome analysis in human pregnancy research. Reproduction. 2005; 129 (6): 685–696.

9. Rice G.E., Georgiou H.M., Ahmed N., Shi G., Kruppa G. Translational proteomics: developing a predictive capacity – a review. Placenta. 2006; 27: 76–86.

10. Klein J., Buffin-Meyer B., Mullen W. et al. Clinical proteomics in obstetrics and neonatology. Expert Review of Proteomics. 2014; 11 (1): 75–89.

11. Shankar R., Johnson M.P., Williamson N.A. et al. Molecular markers of preterm labor in the choriodecidua. Reproductive Sciences. 2010; 17 (3): 297–310.

12. Kacerovsky M., Lenco J., Musilova I. et al. Proteomic biomarkers for spontaneous preterm birth: a systematic review of the literature. Reproductive Sciences. 2014; 21 (3): 283–295.

13. Aguin E., Aguin T., Cordoba M. et al. Amniotic fluid inflammation with negative culture and outcome after cervical cerclage. The Journal of Maternal-Fetal & Neonatal Medicine. 2012; 25 (10): 1990–1994.

14. Gervasi M.-T., Romero R., Bracalente G. et al. Midtrimester amniotic fluid concentrations of interleukin-6 and interferongamma-inducible protein-10: evidence for heterogeneity of intra-amniotic inflammation and associations with spontaneous early (<32 weeks) and late (>32 weeks) pretermdelivery. Journal of Perinatal Medicine. 2012; 40 (4): 329–343.

15. Jia X. Value of amniotic fluid IL-8 and Annexin A2 in prediction of preterm delivery in preterm labor and preterm premature rupture of membranes. The Journal of Reproductive Medicine. 2014; 59 (3–4): 154–160.

16. Hsu T.-Y., Lin H., Lan K.-C. et al. High interleukin-16 concentrations in the early second trimester amniotic fluid: an independent predictive marker for preterm birth. Journal of Maternal-Fetal and Neonatal Medicine. 2013; 26 (3):285–289.

17. Malamitsi-Puchner A., Vrachnis N., Samoli E. et al. Possible early prediction of preterm birth by determination of novel proinflammatory factors in midtrimester amniotic fluid. Annals of the New York Academy of Sciences. 2006; 1092: 440–449.

18. Bamberg C., Fotopoulou C., Thiem D., Roehr C.C., Dudenhausen J.W., Kalache K.D. Correlation of midtrimester amniotic fluid cytokine concentrations with adverse pregnancy outcome in terms of spontaneous abortion, preterm birth, 8 Disease Markers and preeclampsia. Journal of Maternal-Fetal and Neonatal Medicine. 2012; 25 (6): 812–817.

19. Lachelin G.C.L., McGarrigle H.H.G., Seed P.T., Briley A., Shennan A.H., Poston L. Low saliva progesterone concentrations are associated with spontaneous early preterm labour (before 34 weeks of gestation) in women at increased risk of preterm delivery. BJOG: An International Journal of Obstetrics&Gynaecology. 2009; 116 (11): 1515–1519.

20. Maged A.M., Mohesen M., Elhalwagy A., Abdelhafiz A. Salivary progesterone and cervical length measurement as predictors of spontaneous preterm birth. J Matern Fetal Neonatal Med. 2015; 28 (10): 1147–51. doi: 10.3109/14767058.2014.947474.

21. Priya B., Mustafa M.D., Guleria K., Vaid N.B., Banerjee B.D., Ahmed R.S. Salivary progesterone as a biochemical marker to predict early pretermbirth in asymptomatic high-risk women. BJOG. 2013; 120 (8): 1003–1011.

22. Hanna N., Kiefer D. A translational view of biomarkers in preterm labor. The American Journal of Reproductive mmunology. 2012; 67 (4): 268–272.

23. Hundley A.F., Onderdonk A.B., Greenberg J.A. Value of routine urine culture in the assessment of preterm labor. J Reprod Med. 2003; 48 (11): 853–857.

24. Heng Y.J., Pennell C.E., McDonald S.W., Vinturache A.E., Xu J., Lee M.W. et al. Maternal Whole Blood Gene Expression at 18 and 28 Weeks of Gestation Associated with Spontaneous Preterm Birth in Asymptomatic Women. PLoS One. 2016; 11 (6): e0155191.

25. Lucaroni F., Morciano L., Rizzo G., D’Antonio F., Buonuomo E., Palombi L. et al. Biomarkers for predicting spontaneous preterm birth: an umbrella systematic review. J Matern Fetal Neonatal Med. 2018; 31 (6): 726–734.

26. Tsiartas P., Holst R.M., Wennerholm U.B. et al. Prediction of spontaneous preterm delivery in women with threatened preterm labour: a prospective cohort study of multiple proteins in maternal serum. BJOG. 2012; 119 (7): 866– 873.

27. Zegels G., VanRaemdonck G.A.A., Tjalma W.A.A., Van Ostade X.W.M. Use of cervicovaginal fluid for the identification of biomarkers for pathologies of the female genital tract. Proteome Science. 2010; 8: 63.

28. Holst R.M., Hagberg H., Wennerholm U.-B., Skogstrand K., Thorsen P., Jacobsson B. Prediction of spontaneous preterm delivery in women with preterm labor: analysis of multiple proteins in amniotic and cervical fluids. Obstetrics and Gynecology. 2009; 114 (2): 268–277.