Tracking Preeclampsia: The Role of Cerebral Biomarkers—A Narrative Review
Abstract
1. Introduction
2. Materials and Methods
3. Results and Discussion
3.1. Cerebral Biomarkers—Several Biomarkers Have Been Proposed to Predict Neurological Involvement in Diseases
3.1.1. Neurofilament Light Chain
3.1.2. Tau Protein
3.1.3. Neuron-Specific Enolase
3.1.4. S100B
3.2. Biomarker Trends in Healthy vs. Preeclamptic Pregnancies
3.3. Plasma and CSF Biomarker Differences
3.4. NfL as a Potential Risk Stratification Biomarker of PE
| Study Type, Year and Reference | Study Group | Results | Summary |
|---|---|---|---|
| Case-control study—2022 [4] | PE = 28, NP = 28, Non-P = 16 | NfL higher in PE than in NP (8.85 vs. 5.25 ng/L, p < 0.001); NfL higher in PE compared with non-pregnant women (8.85 vs. 5.65 ng/L, p < 0.001) NfL higher in PE with severe headache (11.65 vs. 7.40 ng/L, p = 0.024). | The levels of NfL in plasma were significantly higher in PE than in NP. Significantly higher plasma concentrations of NfL in PE with severe headache than with mild or no headache. No associations between visual disturbances and NfL levels. |
| Case-control study—2022 [12] | Serum: NP = 28 and PE = 146, including subgroups with and without complications. CSF: PE = 8 and NP = 7 | 2.18-fold higher plasma NfL (95% CI, 1.64–2.88) in PE vs. NP. HELLP group 1.64-fold higher plasma NfL (95% CI, 1.06–2.55) No difference in NfL with/without pulmonary edema | Women with PE had significantly higher levels of NfL in plasma than those with NP. This was also seen in women with HELLP, but not with PE complicated with pulmonary edema. |
| Prospective, longitudinal study—2018 [9] | Total = 197, PE = 60 | NfL higher in pregnancy in those who developed PE vs. who did not (28.7 pg/mL vs. 18.2 pg/mL, <0.001) The discriminatory accuracy of NfL in the ROC curves analysis of the overall group was 0.68, and in those over 36 years of age is 0.7. | NfL predicts PE particularly in older women (>36 years). It may serve as an early indicator of PE-induced neuronal changes. Maternal age amplified NfL levels in PE. |
| Case-control study (longitudinal)—2018 [11] | PE = 16, NP = 36 | NfL higher in PE at week 33 (11.85 vs. 6.80; p < 0.05) and week 37 (22.15 vs. 8.40; p < 0.01). At 33 weeks AUC for NfL 0.62 (0.17–1.00) | NfL increased at the end of pregnancy in women developing PE in contrast to NP. It may show cerebral involvement before onset of disease. |
| Case-control study—2021 [3] | severe PE = 15, NP = 15 | PE had ↑ serum NfL (9.29 vs. 5.44 pg/mL, p < 0.001) and CSF NfL (396 vs. 336 pg/mL, p < 0.01) compared to NP. | Increased serum and CSF levels of NfL show neuroaxonal injury in PE, even in the absence of clinically evident neurological complications. |
| Cross-sectional study—2023 [19] | Eclampsia = 49, PE with pulmonary edema = 16, uncomplicated PE = 22, NP = 18 | NfL correlated with cognitive impairment in eclampsia and PE + pulmonary edema (r = −0.37, p = 0.009 and r = −0.56, p = 0.025). | No correlation between impaired cognitive function and NfL in PE without pulmonary edema, HELLP or NP. Acute neuroaxonal injury associated with cognitive impairment in PE. |
| Retrospective observational cohort study—2021 [20] | Obstetric PRES = 123 and non-PRES = 99 | NfL levels were significantly ↑ in the PRES group than in the non-PRES group (p < 0.0001). The discriminatory accuracy of NfL in ROC curve analysis was 0.7664. | NfL level was significantly correlated with edema severity (p < 0.0001), and a poorer pregnancy outcome |
3.5. PE and NSE
| Study Type, Year and Reference | Study Group | Results (NSE) | Summary |
|---|---|---|---|
| Case–control study—2022 [4] | PE = 28, NP = 28, Non-P = 16 | NSE in PE is higher compared to NP: 3.50 µg/L vs. 2.37 µg/L (p < 0.001) | NSE levels were significantly higher in PE compared to NP. However, NSE did not relate to severity of headache, or visual disturbances. |
| Case–control study—2021 [3] | Severe PE = 15, NP = 15 | CSF NSE was lower in PE than in NP (6.16 vs. 7.56 µg/L, p < 0.05), with no difference in plasma levels between them. | NSE in CSF was higher in PE complicated by cerebral edema, which may be due to larger cerebral insult in cases with edema. |
| Nested case–control study—2016 [16] | Total = 469, PE = 16 and NP = 36 | At week 33, NSE is higher in PE than NP (3.72 µg/L vs. 2.67 µg/L, p = 0.05). At week 37, NSE was higher in PE; it declined in NP (4.47 µg/L vs. 3.12 µg/L; p < 0.001). | In women developing PE, NSE levels were high throughout pregnancy. In NP, it decreases with progress of pregnancy. It suggests failure to decline in PE. |
3.6. PE and S100B
| Study Type, Year and Reference | Study Group | Results | Summary |
|---|---|---|---|
| Case–control study—2022 [4] | PE = 28, NP = 28, non-P = 16 | Plasma S100B higher in PE compared to NP (0.08 µg/L vs. 0.05 µg/L, p < 0.01) | S100B levels were significantly higher in PE compared to NP. It did not relate to severity of headache, or visual disturbances. |
| Case–control study—2021 [3] | PE = 15, NP = 15 | Serum S100B higher in PE than NP (0.08 vs. 0.05 µg/L, p < 0.01), but no difference was found in the CSF concentration between the two. | It can be either due to extracerebral levels contributing predominantly to the serum, or S100B produced in astrocytic end-feet close to the BBB is secreted in higher amounts into the bloodstream due to BBB injury and depleted from the CNS. |
| A cross-sectional case–control study—2014 [22] | PE = 53, NP = 58 | Plasma S100B higher in PE compared NP (0.12 µg/L vs. 0.07 µg/L, p < 0.001) and significantly linked to visual disturbances (p < 0.05). | Higher levels of S100B in PE and association with visual disturbances reflects possible CNS affection in women with PE. |
| Prospective case–control study—2015 [17] | Severe PE = 27, NP = 36 | S100-B levels were higher in severe PE (0.09 vs. 0.13 µg/L, p = 0.025). For predicting PE, at levels ≥ 0.0975 µg/L, sensitivity and specificity were found to be 81.4% and 58.3%. At levels ≥ 0.0975 µg/L, 12.75-fold ↑ risk of CNS symptoms and a 3.27-fold ↑ risk of HELLP syndrome. AUC value for S100-B was calculated as 0.712. | S100B levels may be a potential marker in severe PE for the severity of hypoperfusion both in the placenta & brain, leading to subsequent risk of organ failure. |
| Case control study—2024 [21] | PE = 9, NP = 13 | S100B levels were ↑ in PE than in normal pregnancies (p < 0.05). ROC curve analysis showed that S100B detected by SPRi method had a cut-off level of 181 ng/mL with a sensitivity of 100%, a specificity of 84.6%, and a Youden index of 0.846 | S100B levels detected by SPRi in maternal blood can indicate early-onset severe preeclampsia and perinatal brain injury |
| Case–control within a longitudinal study cohort—2012 [18] | Total = 469, PE = 16, NP = 37 | Plasma S100B levels remained unchanged in NP but increased in PE from weeks 10 to 37 (0.052 vs. 0.075; p < 0.05). Women with PE had higher levels of S100B than NP at weeks 33 and 37 (p = 0.047 and p = 0.010, respectively). | Increased S100B level is seen in women developing PE compared to NP weeks before symptoms of PE. Increased S100B in PE might be secondary to cerebral vascular damage. S100B is a potential peripheral biomarker reflecting cerebral involvement in PE. |
| Case–control study—2012 [13] | NP = 15, Mild PE = 12, Severe PE = 34 | Severe PE group demonstrated higher S100B levels (0.20 ± 0.19), as compared with mild PE (0.07 ± 0.05) or NP (0.04 ± 0.05) | Elevated serum S100B levels in severe PE suggest neural damage, and subsequent astrocytic release of S100B is independent of progression to eclampsia. |
| Case–control study—2006 [11] | PE = 7, NP = 35 | Amniotic fluid S100B levels were higher in PE than NP. Concentration of S100B in amniotic fluid in PE (0.47 μg/L) & normotensive IUGR (0.60 μg/L) were significantly higher than in NP (0.18 μg/L). p < 0.05. At 33 weeks, AUC for S100B 0.95 (0.82–1.00) | CNS is affected in PE early, even in mild to moderate disease. AUC for combined marker was >0.7 at GA week 25, reflecting early CNS involvement months before the onset of clinical disease |
3.7. PE and Tau Protein
| Study Type, Year and Reference | Study Group | Results | Summary |
|---|---|---|---|
| Case–control study 2022 [12] | PE = 146, NP = 28 | PE had 2.17-fold higher levels of tau vs. controls, (95% CI, 1.49–3.16). PE with neurological complications levels of tau (2.99-fold higher; 95% CI, 1.92–4.65). HELLP group tau levels (4.44-fold higher; 95% CI, 1.85–10.66) | Neurologic complications (eclampsia, cortical blindness, and stroke) in PE linked to higher levels of tau protein. tau protein was also increased in other neurologic complications compared with women with eclampsia only. |
| Case–control study 2022 [4] | PE = 28, NP = 28, Non-P = 16 | Tau higher in PE vs. NP (2.90 vs. 2.40 ng/L) p < 0.05 | Tau levels were significantly higher in PE compared to NP. However, NSE did not relate to severity of headaches, or visual disturbances. |
| Cross-sectional 2023 [14] | PE = 68, NP = 30, Non-P = 48 | Higher P-tau181 in PE vs. both control groups (both p < 0.05) | According to the ROC curve, P-tau 181 had statistical significance in predicting the ability of cognizance (p < 0.05). High serum P-tau181 can be used as an indicator for non-invasive assessment of cognitive functional impairment in PE patients. |
| Nested case–control study within a longitudinal study cohort 2018 [11] | PE = 16, NP = 36 | In NP, there was a reduction in tau in gestational week 25, 28, 33 (p < 0.05), 37 (p = 0.06) compared to week 10. In PE, levels of tau were similar to NP at all GA except in week 37, where PE had higher tau than NP (p < 0.05). At 33 weeks AUC for tau 0.57 (0.19–0.95). | CNS is affected in PE early even in mild to moderate disease. AUC for combined marker was >0.7 at GA week 25, reflecting early CNS involvement months before the onset of clinical disease. |
| Case–control study 2021 [3] | severe PE = 15, NP = 15 | CSF tau was lower in PE vs. controls (228 vs. 315 pg/mL, p < 0.05); plasma tau levels were higher in PE, but not significant (3.13 pg/mL vs. 2.32 pg/mL) | Extracellular levels of tau are regulated by neuronal-activity-dependent release of the protein, determining CSF concentrations. Reduced CSF concentrations of tau in PE could reflect reduced neuronal activity. |
| Cross-sectional study 2023 [19] | Eclampsia = 49, PE = 38, NP = 18 | PE shows higher plasma concentrations than NP, (3.64 pg/mL vs. 2.61 pg/mL, <0.001). | No correlation between impaired cognitive function and tau in PE without pulmonary edema, HELLP or NP. |
3.8. Endothelial and Angiogenic Pathways, Blood–Brain Barrier Disruption, & Biomarker Elevation
3.9. Cognitive and Neurological Manifestations
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Sutan, R.; Aminuddin, N.A.; Mahdy, Z.A. Prevalence, maternal characteristics, and birth outcomes of preeclampsia: A cross-sectional study in a single tertiary healthcare center in greater Kuala Lumpur Malaysia. Front. Public Health 2022, 10, 973271. [Google Scholar] [CrossRef]
- American College of Obstetricians and Gynecologists. Gestational Hypertension and preeclampsia: ACOG Practice Bulletin, Number 222. Obstet. Gynecol. 2020, 135, e237–e260. [Google Scholar] [CrossRef]
- Andersson, M.; Oras, J.; Thörn, S.E.; Karlsson, O.; Kälebo, P.; Zetterberg, H.; Blennow, K.; Bergman, L. Signs of neuroaxonal injury in preeclampsia—A case control study. PLoS ONE 2021, 16, e0246786. [Google Scholar] [CrossRef] [PubMed]
- Friis, T.; Wikström, A.; Acurio, J.; León, J.; Zetterberg, H.; Blennow, K.; Nelander, M.; Åkerud, H.; Kaihola, H.; Cluver, C.; et al. Cerebral biomarkers and Blood-Brain barrier integrity in preeclampsia. Cells 2022, 11, 789. [Google Scholar] [CrossRef] [PubMed]
- Bergman, L.; Acurio, J.; Leon, J.; Gatu, E.; Friis, T.; Nelander, M.; Wikström, J.; Larsson, A.; Lara, E.; Aguayo, C.; et al. Preeclampsia and increased permeability over the Blood–Brain barrier: A role of vascular endothelial growth receptor 2. Am. J. Hypertens. 2020, 34, 73–81. [Google Scholar] [CrossRef]
- Gaetani, L.; Blennow, K.; Calabresi, P.; Di Filippo, M.; Parnetti, L.; Zetterberg, H. Neurofilament light chain as a biomarker in neurological disorders. J. Neurol. Neurosurg. Psychiatry 2019, 90, 870–881. [Google Scholar] [CrossRef] [PubMed]
- Holper, S.; Watson, R.; Yassi, N. Tau as a biomarker of neurodegeneration. Int. J. Mol. Sci. 2022, 23, 7307. [Google Scholar] [CrossRef]
- Liu, F.; Li, H.; Hong, X.; Liu, Y.; Yu, Z. Research progress of neuron-specific enolase in cognitive disorder: A mini review. Front. Hum. Neurosci. 2024, 18, 1392519. [Google Scholar] [CrossRef]
- Evers, K.S.; Atkinson, A.; Barro, C.; Fisch, U.; Pfister, M.; Huhn, E.A.; Lapaire, O.; Kuhle, J.; Wellmann, S. Neurofilament as neuronal injury blood marker in preeclampsia. Hypertension 2018, 71, 1178–1184. [Google Scholar] [CrossRef]
- Tskitishvili, E.; Komoto, Y.; Temma-Asano, K.; Hayashi, S.; Kinugasa, Y.; Tsubouchi, H.; Song, M.; Kanagawa, T.; Shimoya, K.; Murata, Y. S100B protein expression in the amnion and amniotic fluid in pregnancies complicated by pre-eclampsia. Mol. Hum. Reprod. 2006, 12, 755–761. [Google Scholar] [CrossRef]
- Bergman, L.; Zetterberg, H.; Kaihola, H.; Hagberg, H.; Blennow, K.; Åkerud, H. Blood-based cerebral biomarkers in preeclampsia: Plasma concentrations of NfL, tau, S100B and NSE during pregnancy in women who later develop preeclampsia—A nested case control study. PLoS ONE 2018, 13, e0196025. [Google Scholar] [CrossRef] [PubMed]
- Bergman, L.; Hastie, R.; Bokström-Rees, E.; Zetterberg, H.; Blennow, K.; Schell, S.; Imberg, H.; Langenegger, E.; Moodley, A.; Walker, S.; et al. Cerebral biomarkers in neurologic complications of preeclampsia. Am. J. Obstet. Gynecol. 2022, 227, 298.e1–298.e10. [Google Scholar] [CrossRef] [PubMed]
- Vettorazzi, J.; Torres, F.V.; de Ávila, T.T.; Martins-Costa, S.H.; Souza, D.O.; Portela, L.V.; Ramos, J.G. Serum S100B in pregnancy complicated by preeclampsia: A case-control study. Pregnancy Hypertens. 2012, 2, 101–105. [Google Scholar] [CrossRef] [PubMed]
- Wang, Y.; Guo, B.; Zhao, K.; Yang, L.; Chen, T. Correlation between cognitive impairment and serum phosphorylated tau181 protein in patients with preeclampsia. Front. Aging Neurosci. 2023, 15, 1148518. [Google Scholar] [CrossRef]
- Schmidt, F.M.; Mergl, R.; Stach, B.; Jahn, I.; Gertz, H.J.; Schönknecht, P. Elevated levels of cerebrospinal fluid neuron-specific enolase (NSE) in Alzheimer’s disease. Neurosci. Lett. 2014, 570, 81–85. [Google Scholar] [CrossRef]
- Bergman, L.; Åkerud, H. Plasma Levels of the Cerebral Biomarker, Neuron-Specific Enolase, are Elevated During Pregnancy in Women Developing preeclampsia. Reprod. Sci. 2016, 23, 395–400. [Google Scholar] [CrossRef]
- Artunc-Ulkumen, B.; Guvenc, Y.; Goker, A.; Gozukara, C. Maternal Serum S100-B, PAPP-A and IL-6 levels in severe preeclampsia. Arch. Gynecol. Obstet. 2015, 292, 97–102. [Google Scholar] [CrossRef]
- Wikström, A.K.; Ekegren, L.; Karlsson, M.; Wikström, J.; Bergenheim, M.; Ǻkerud, H. Plasma levels of S100B during pregnancy in women developing pre-eclampsia. Pregnancy Hypertens. 2012, 2, 398–402. [Google Scholar] [CrossRef]
- Bokström-Rees, E.; Zetterberg, H.; Blennow, K.; Hastie, R.; Schell, S.; Cluver, C.; Bergman, L. Correlation between cognitive assessment scores and circulating cerebral biomarkers in women with pre-eclampsia and eclampsia. Pregnancy Hypertens. 2023, 31, 38–45. [Google Scholar] [CrossRef]
- Fang, X.; Liang, Y.; Zhang, W.; Wang, Q.; Chen, J.; Chen, J.; Lin, Y.; Chen, Y.; Yu, L.; Wang, H.; et al. Serum Neurofilament Light: A Potential Diagnostic and Prognostic Biomarker in Obstetric Posterior Reversible Encephalopathy Syndrome. Mol. Neurobiol. 2021, 58, 6460–6470. [Google Scholar] [CrossRef]
- Wu, J.; Sheng, X.; Zhou, S.; Fang, C.; Song, Y.; Wang, H.; Jia, Z.; Jia, X.; You, Y. Clinical significance of S100B protein in pregnant woman with early- onset severe preeclampsia. Ginekol. Pol. 2024, 95, 711–717. [Google Scholar] [CrossRef]
- Bergman, L.; Akhter, T.; Wikström, A.; Wikström, J.; Naessen, T.; Åkerud, H. Plasma Levels of S100B in preeclampsia and Association With Possible Central Nervous System Effects. Am. J. Hypertens. 2014, 27, 1105–1111. [Google Scholar] [CrossRef]
- Maynard, S.E.; Min, J.Y.; Merchan, J.; Lim, K.H.; Li, J.; Mondal, S.; Libermann, T.A.; Morgan, J.P.; Sellke, F.W.; Stillman, I.E.; et al. Excess placental soluble fms-like tyrosine kinase 1 (sFlt1) may contribute to endothelial dysfunction, hypertension, and proteinuria in preeclampsia. J. Clin. Investig. 2003, 111, 649–658. [Google Scholar] [CrossRef] [PubMed]
- Dube, R. Does endothelial dysfunction correlate with endocrinal abnormalities in patients with polycystic ovary syndrome? Avicenna J. Med. 2016, 6, 91–102. [Google Scholar] [CrossRef] [PubMed]
- Alvarez, J.I.; Katayama, T.; Prat, A. Glial influence on the blood brain barrier. Glia 2013, 61, 1939–1958. [Google Scholar] [CrossRef] [PubMed]
- Cipolla, M.J.; Sweet, J.G.; Chan, S.L. Cerebral vascular adaptation to pregnancy and its role in the neurological complications of eclampsia. J. Appl. Physiol. 2011, 110, 329–339. [Google Scholar] [CrossRef]
- Fiedler, U.; Augustin, H.G. Angiopoietins: A link between angiogenesis and inflammation. Trends Immunol. 2006, 27, 552–558. [Google Scholar] [CrossRef]
- Bartynski, W.S. Posterior reversible encephalopathy syndrome, part 2: Controversies surrounding pathophysiology of vasogenic edema. AJNR. Am. J. Neuroradiol. 2008, 29, 1043–1049. [Google Scholar] [CrossRef]
- Levine, R.J.; Lam, C.; Qian, C.; Yu, K.F.; Maynard, S.E.; Sachs, B.P.; Sibai, B.M.; Epstein, F.H.; Romero, R.; Thadhani, R.; et al. Soluble endoglin and other circulating antiangiogenic factors in preeclampsia. N. Engl. J. Med. 2006, 355, 992–1005, Correction in N. Engl. J. Med. 2006, 355, 1840. [Google Scholar] [CrossRef]
- Roberts, J.M.; Hubel, C.A. The two stage model of preeclampsia: Variations on the theme. Placenta 2009, 30, S32–S37. [Google Scholar] [CrossRef]
- Marchi, N.; Rasmussen, P.; Kapural, M.; Fazio, V.; Kight, K.; Mayberg, M.R.; Kanner, A.; Ayumar, B.; Albensi, B.; Cavaglia, M.; et al. Peripheral markers of brain damage and blood-brain barrier dysfunction. Restor. Neurol. Neurosci. 2003, 21, 109–121. [Google Scholar] [CrossRef]
- Kapural, M.; Krizanac-Bengez, L.; Barnett, G.; Perl, J.; Masaryk, T.; Apollo, D.; Rasmussen, P.; Mayberg, M.R.; Janigro, D. Serum S-100beta as a possible marker of blood-brain barrier disruption. Brain Res. 2002, 940, 102–104. [Google Scholar] [CrossRef]
- Amabebe, E.; Huang, Z.; Jash, S.; Krishnan, B.; Cheng, S.; Nakashima, A.; Li, Y.; Li, Z.; Wang, R.; Menon, R.; et al. Novel Role of Pin1-Cis P-Tau-ApoE Axis in the Pathogenesis of preeclampsia and Its Connection with Dementia. Biomedicines 2025, 13, 29. [Google Scholar] [CrossRef]
- Liu, H.; Tang, Y.; Liu, X.; Zhou, Q.; Xiao, X.; Lan, F.; Li, X.; Hu, R.; Xiong, Y.; Peng, T. 14-3-3 tau (YWHAQ) gene promoter hypermethylation in human placenta of preeclampsia. Placenta 2014, 35, 981–988. [Google Scholar] [CrossRef]
- Lederer, W.; Dominguez, C.A.; Popovscaia, M.; Putz, G.; Humpel, C. Cerebrospinal fluid levels of tau and phospho-tau-181 proteins during pregnancy. Pregnancy Hypertens. 2016, 6, 384–387. [Google Scholar] [CrossRef]


Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 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.
Share and Cite
Vakhariya, S.M.; Shajahan, A.; Dube, R.; Kar, S.S.; Goud, B.K.M.; Kar, S.S. Tracking Preeclampsia: The Role of Cerebral Biomarkers—A Narrative Review. Int. J. Mol. Sci. 2026, 27, 806. https://doi.org/10.3390/ijms27020806
Vakhariya SM, Shajahan A, Dube R, Kar SS, Goud BKM, Kar SS. Tracking Preeclampsia: The Role of Cerebral Biomarkers—A Narrative Review. International Journal of Molecular Sciences. 2026; 27(2):806. https://doi.org/10.3390/ijms27020806
Chicago/Turabian StyleVakhariya, Sakina Mustafa, Arshiya Shajahan, Rajani Dube, Subhranshu Sekhar Kar, Bellary Kuruba Manjunatha Goud, and Swayam Siddha Kar. 2026. "Tracking Preeclampsia: The Role of Cerebral Biomarkers—A Narrative Review" International Journal of Molecular Sciences 27, no. 2: 806. https://doi.org/10.3390/ijms27020806
APA StyleVakhariya, S. M., Shajahan, A., Dube, R., Kar, S. S., Goud, B. K. M., & Kar, S. S. (2026). Tracking Preeclampsia: The Role of Cerebral Biomarkers—A Narrative Review. International Journal of Molecular Sciences, 27(2), 806. https://doi.org/10.3390/ijms27020806

