| Literature DB >> 35959172 |
Arkapal Bandyopadhyay1, Farhad Ahamed2, Sarika Palepu2, Tandra Ghosh3, Vikas Yadav4.
Abstract
The objective of the present systematic review and meta-analysis was to compare the levels of serum hepcidin in women who developed pre-eclampsia with those who did not. The databases PubMed, Embase, Scopus, Cochrane, and references of retrieved articles published till September 2020 were searched with no language restriction. Mean differences in iron regulating protein (hepcidin) were compared using a random-effects model based on the level of heterogeneity. A total of 760 individuals were included in the analysis from seven studies. The pooled estimate showed that mean hepcidin levels were significantly higher in women who developed pre-eclampsia [0.3 ng/ml, 95% confidence interval (CI): 0.01-0.59, p=0.003] as compared to women who did not develop pre-eclampsia. Further research can be done to assess the levels of various iron parameters in different trimesters of pregnancy and their association with pre-eclampsia.Entities:
Keywords: ferritin; hepcidin; iron parameters; pre-eclampsia; pregnancy; transferrin
Year: 2022 PMID: 35959172 PMCID: PMC9359713 DOI: 10.7759/cureus.26699
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Search strategy
Note: We searched for all three themes together using the Boolean operator ‘AND’ We used the lemmatisation, stemming and explode function for study population, exposure of interest and outcome of interest.
| Criteria | Search terms |
| Study population | Pregnant* OR pregnancy OR antenatal OR prenatal OR “pregnancy complication” OR “pregnancy abnormality” |
| Terms of exposure | “Hepcidin” OR hepcidin [MeSH] OR “pro-hepcidin” OR “iron regulator” OR “membrane transport protein” OR “iron metabolism” |
| Terms of outcome | “Pre-eclampsia” OR “pregnancy-induced hypertension” OR “hypertension in pregnancy” OR “gestational hypertension” OR pre-eclampsia [MeSH] OR eclampsia |
Figure 1PRISMA flowchart of study selection process
Characteristics of studies included in meta-analysis
1Pregnant females with normal fetal growth; 2Pregnant females with Intra-uterine growth retardation
*N: sample size, NA: not available, GA: gestational age, PE: pre-eclampsia, KFT: kidney function tests, LFT: liver function tests
Note: A study by Cardaropoli et al. [15] had two different study designs and two groups of study participants within the same study. Hence, this study was taken as 2 units and a total of 8 studies were included for meta-analysis.
| Sl No | Author (study year) | Study characteristics | Study participants parameters | Other outcomes assessed | |
| Pregnancy without pre-eclampsia | Pregnancy with pre-eclampsia | ||||
| 1 | Toldi et al. [ | Duration - NA, Budapest, Hungary, Cross sectional study | N = 37 | N = 30 | Iron homeostasis, interleukin-6 (IL-6), complete blood cell counts |
| Median age - 30 years | Median age - 30 years | ||||
| GA - 36 weeks | GA - 36.5 weeks | ||||
| Parity - NA | Parity - NA | ||||
| Hepcidin levels - 3.74 (0.73–8.14) ng/ml | Hepcidin levels - 5.68 (0.72–9.25) ng/ml | ||||
| 2 | Duvan et al. [ | Duration - February 2010 to January 2013, Turkey, Case control study | N = 37 | N = 30 | KFT, LFT, iron markers, inflammatory markers |
| Mean age - 30.2 ± 4.9 years | Mean age - 28.4 ± 5.4 years | ||||
| GA - 39.3 weeks | GA - 35.2 weeks | ||||
| Parity - NA | Parity - NA | ||||
| Pro-hepcidin levels - 71.9 ± 22.1 ng/ml | Pro-hepcidin levels - 69.4 ± 19.7 ng/ml | ||||
| 3 | Muhsin et al. [ | Duration - May to August 2013, Abu Dhabi, Case control study | N = 20 | N = 20 | Iron parameters |
| Mean age - 28.3±6.3years | Mean age - 28.5±4.9 years | ||||
| GA - Third trimester | GA - third trimester | ||||
| Parity - NA | Parity - NA | ||||
| Hepcidin levels - 556 ± 218 pg/ml | Hepcidin levels - 797 ± 249 pg/ml | ||||
| 4 | Cardaropoli et al. [ | Duration - October 2008 to August 2010, Turin, Italy, Cross sectional study | N = 60 | N = 45 (201, 252) | PE risk factors, smoking status, expression of hepcidin gene on placenta, neonatal birth weight |
| Mean age - 31.6 ± 4.6 years | Mean age - 34.2 ± 4.01, 35.6 ± 4.7 years | ||||
| GA - 33.7 weeks | GA - 33.31, 31.3 weeks2 | ||||
| Nulliparous - 38 | Nulliparous - 171, 222 | ||||
| Hepcidin levels - 48.50 ng/mL (41.28–62.63) | Hepcidin levels - 46.30 ng/mL (34.48–61.20) | ||||
| 5 | Cardaropoli et al. [ | Duration - October 2008 to August 2010, Turin, Italy, case control study | N = 228 | N = 57 (471,102) | PE risk factors, smoking status, expression of hepcidin gene on placenta, neonatal birth weight |
| Mean age - 31.4 ± 4.3 years | Mean age - 32.5±5.51, 32.3± 5.12 years | ||||
| GA - 13.5 weeks | GA - 13.81, 14.62 weeks | ||||
| Nulliparous - 127 | Nulliparous - 331, 72 | ||||
| Hepcidin levels - 43.60 (33.88–55.67) ng/mL | Hepcidin levels - 50.56 (40.19–64.09) ng/mL | ||||
| 6 | Brunacci et al. [ | Duration - 2010 to 2012, Sao Paulo, Brazil, Case-control study | N = 18 | N = 18 | Iron intake, haematological indices, iron status, LFT, inflammatory markers |
| Mean age - 27 years | Mean age - 22 years | ||||
| GA - 31.5 weeks | GA - 31.5 weeks | ||||
| Nulliparous - 7 | Nulliparous - 12 | ||||
| Hepcidin levels - 51.46 (47.73–59.81) ng/ml | Hepcidin levels - 46.52 (39.92–51.66) ng/ml | ||||
| 7 | Tapan et al. [ | Duration - December 2015 – October 2017, Varanasi, India Case control study | N = 40 | N = 40 | Transferrin |
| Mean age - 33.85 ± 4.63 | Mean age - 30.7 ± 3.03 | ||||
| GA - 33.13 weeks | GA - 31.6 weeks | ||||
| Parity - NA | Parity - NA | ||||
| Hepcidin levels - 3.560 ± 2.48 ng/ml | Hepcidin levels - 5.773 ± 3.442 ng/ml | ||||
| 8 | Nila et al. [ | Duration - NA, Tamil Nadu, India, Cross-sectional study | N = 40 | N = 40 | Iron homeostasis, oxidative stress, endothelial dysfunction |
| Mean age - 18–40 years | Mean age - 18–40 years | ||||
| GA - 34±4 weeks | GA - 34±4 weeks | ||||
| Parity - NA | Parity- NA | ||||
| Hepcidin levels - 684 (595–684) pg/ml | Hepcidin levels - 558 (425–610) pg/ml | ||||
Quality assessment of included studies
*,**,***NOS uses predefined criteria and awards stars as scoring system for each study
| Case-control studies: New Castle Ottawa Scale | ||||
| Study | Selection | Comparability | Exposure | Score |
| Muhsin et al. [ | *** | ** | ** | 7 |
| Cardaropoli et al. [ | *** | ** | *** | 8 |
| Brunacci et al. [ | *** | ** | ** | 7 |
| Tapan K et al. [ | *** | ** | ** | 7 |
| Duvan et al. [ | *** | ** | ** | 7 |
| Cross-sectional studies: Modified New Castle Ottawa Scale | ||||
| Study | Selection | Comparability | Outcome | Scoring |
| Toldi et al. [ | * | ** | ** | 5 |
| Cardaropoli et al. [ | * | ** | ** | 5 |
| Nila et al. [ | * | ** | ** | 5 |
Figure 2Forest plot of studies estimating serum mean hepcidin levels
Sources: Toldi et al. [12], Duvan et al. [13], Muhsin et al. [14], Cardaropoli et al. [15], Brunacci et al. [16], Kumar et al. [17], Nila et al. [18]
Figure 3Forest plot of studies estimating transferrin saturation percentage
Sources: Toldi et al. [12], Duvan et al. [13], Muhsin et al. [14], Brunacci et al. [16], Nila et al. [18]
Figure 4Forest plot of studies estimating ferritin levels
Sources: Toldi et al. [12], Duvan et al. [13], Muhsin et al. [14], Brunacci et al. [16], Nila et al. [18]
Figure 5Funnel plot of included studies