| Literature DB >> 35903273 |
Yujuan Chai1, Qihang Li1, Yang Wang2, Enxiang Tao3, Tetsuya Asakawa3,4,5.
Abstract
Because of the high prevalence of postpartum depression (PPD) and the suffering involved, early diagnosis is urgent; however, current screening tools and diagnosis are inadequate. In addition to conventional methods such as the Edinburgh Postnatal Depression Scale and clinical interviews, several hormones in the hypothalamic-pituitary-adrenal (HPA) axis, such as corticotrophin-releasing hormone, adrenocorticotropic hormone, and cortisol, have been considered because of their critical roles in stress regulation in the mothers. The study designs are complicated, however, and so the effectiveness of these hormones as biomarkers for PPD is still controversial. Such inconsistency may have resulted from the variation in methodology between studies. The methodology problems in the investigation of PPD and HPA axis hormones have not been reported extensively. We therefore sought to summarize the methodological problems of studies published in the past decade, including the strengths and weaknesses of the examinations and the technological difficulties involved. Our findings suggest that (a) suitable samples and appropriate detection methods would reduce heterogeneity among trials; (b) the cutoff value of the scale test should be carefully selected for determining the performance of biomarker tests; (c) evaluation methods and criteria should be chosen with consideration of the tools feasible for use in local hospitals and population; and (d) the cost of diagnosis should be reduced. We hope that these findings provide insight for future investigations of HPA axis hormones as biomarkers for screening and early diagnosis of PPD.Entities:
Keywords: adrenocorticotropic hormone (ACTH); axis hormones; behavioral assessment; corticotrophin-releasing hormone (CRH); cortisol; postpartum depression
Mesh:
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Year: 2022 PMID: 35903273 PMCID: PMC9315198 DOI: 10.3389/fendo.2022.916611
Source DB: PubMed Journal: Front Endocrinol (Lausanne) ISSN: 1664-2392 Impact factor: 6.055
Figure 1Flow chart of the search strategy and selection of the literature.
CRH, ACTH and cortisol evaluation in the postpartum depression studies.
| CRH-ACTH | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Sample type | Studies | Sample size | Biomarkers | Examination time | Sampling time | Methods | Scale tests | EDPS cut-off value | Results CRH-ACTH |
| Serum | Meltzer-Brody et al.,2011, USA ( | 1230 | CRH | < gw20 + gw24-29 | Morning | ELISA, LoD = 0.08 ng/mL, intra- and inter-assay CV < 5% and < 14%. | EPDS ppw12 + ppm12, CES-D in pregnancy | ≥10, | CRH measures at less than gw20 and gw24-29 were inversely correlated with CES-D score at gw24-29. pCRH level was not correlated with EPDS score at ppw12 or ppm12. |
| Cao et al., 2020, China ( | 185 | CRH, 5-HT | gw20 | NA | CRH: radioimmunoassay, 5-HT: ELISA | EPDS | >13 | Serum level of both CRH and 5-HT was significantly correlated with EPDS score, and the area under curve of CRH/5-HT has a better specificity and sensitivity as indicator for PPD. | |
| Plasma | Glynn et al.,2014, USA ( | 170 | CRH,ACTH, Cortisol | gw15 + gw19 + gw25 + gw31 + gw36 | Afternoon | Cortisol: ELISA, LoD = 0.25 ug/dL, intra-assay CV < 8%, ACTH: solid-phase two-site immunoradiometric assay, LoD = 1.0 pg/mL, intra- and inter-assay CV 4.4% and 10.8%, CRH: radioimmunoassay, LoD = 2.04 pg/mL, intra- and inter-assay CV 5%-15%, | EPDS, CES-D | > 13 | Elevation of mid-gestation CRH and accelerated CRH trajectories were both associated with depression and EPDS score at 3-month but not 6-month postpartum. |
| Hahn-Holbrook et al., 2013, USA ( | 210 | CRH | gw19 + gw29 + gw37 | NA | Radioimmunoassay, LoD = 10 pg/mL, intra- and inter-assay CV 3.7% and 5.2% | BDI | NA | Fewer depressive symptoms and more gradual increases in pCRH were predicted by family support significantly. Steeper increases in CRH predicted more PPD symptoms. | |
| Iliadis et al., 2016, Sweden ( | 535 | CRH | gw17 | NA | Radioimmunoassay, detection range 10-1280 pg/mL, intra- and inter-assay CV 1.7% and 3.0% | EPDS, SLE | ≥12 | High CRH levels in gw17 were significantly correlated with postpartum depressive at ppw6. | |
| CFS | Zaconeta et al., 2015, Brazil ( | 129 | CRH | During elective cesarean delivery, or underwent spinal anesthesia | NA | ELISA (EK-019-06 kit; PhoenixPhar maceuticals, licensed for CSF samples) | EPDS | ≥13 | CSF CRH level was not different between women with or without depressive symptoms both during pregnancy or in the postpartum period. |
| Plasma for CRH and ACTH, Serum cortisol | Labad et al., 2011, Spain ( | 132 | CRH,ACTH, Cortisol | pph48 | 8:00 am-9:00 am | Serum cortisol: fluorescence polarization immunoassay, intra- and inter-assay CV 5% and 10%. Plasma ACTH: chemiluminescence, intra- and inter-assay CV 5% and 10%. Plasma CRH: radioimmunoassay intra- and inter-assay CV 5.5% and 10.2% | EPDS, STAI, DIGS, PRLES, FSSQ | ≥9 | No correlation between CRH or ln ACTH level and EPDS scores. A significant correlation was found between higher ACTH concentration and postpartum thoughts of harming the infant. |
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| Serum | Labad et al., 2011, Spain ( | 132 | CRH,ACTH, Cortisol | pph48 | 8:00 am-9:00 am | Fluorescence polarization immunoassay, intra- and inter-assay CV 5% and 10%. | EPDS, STAI, DIGS, PRLES, FSSQ | ≥9 | Cortisol level had a significant positive correlation to ACTH level, but not CRH level pph48.No correlation between cortisol and EPDS scores at ppd2-3 and ppw8 were found. |
| Saleh el et al., 2013, Egypt ( | 120 | Cortisol, T3, estradiol | ppw1 | NA | NA | EPDS, SCID-CV, IES, Fahmy and El-Sherbini’s Social Classification Scale | ≥13 | Greater postpartum drop in serum morning cortisol levels in the PPD group. Morning cortisol positively correlated with severity of depression | |
| Zhang et al., 2017, China ( | 255 | Cortisol in mother and infant, prolactin in mother | mother: before delivery, infant: ppd3 | NA | Radioimmunoassay, LoD = 2, intra- and inter-assay CV < 10% and 15%. | HAM-D, MAI, NBAS | NA | Maternal and neonatal serum cortisol in the depression group or whose mother belonged to the depression group were significantly higher than those in the normal group | |
| Gillespie et al., 2018, USA ( | 137 | Cortisol | gw10-14 + gw20-24 + gw28-32w + ppw4-11 | 7:00 am and 1:00 pm | Chemiluminescence immunoassay, LoD = 0.2 μg/dL, intra- and inter-assay CVs of 7.1% and 7.9% | PSQI, PSS, CES-D, NUPDQ | NA | Primiparous women had higher cortisol level than multiparous woman during T2 and T3, along with a higher distress across pregnancy | |
| Adib-Rad et al., 2020, Iran ( | 80 | Cortisol | ppm12 | NA | ELISA | PSS, SCL-90-R | NA | Women with normal delivery had significantly higher cortisol level, PSS-14 and SCL-90 scores than recurrent pregnancy loss women | |
| Plasma | Glynn et al.,2014, USA ( | 170 | CRH,ACTH, Cortisol | gw15 + gw19 + gw25 + gw31 + gw36 | Afternoon | ELISA, LoD = 0.25 ug/dL, intra-assay CV < 8% | EPDS, CES-D | > 13 | No significant correlation was found for cortisol level during gestation and PPD symptoms at 3 month and 6 month measured by EPDS |
| Saliva | Ahn et al., 2015, USA ( | 119 | Cortisol, IL-1β, IL-6, IL-8, IL-10, TNF-α, IFN-γ | gw32-36 + ppd7 + 14 + ppm1 + 2 + 3 + 6 | awakening, 30 minutes later, 11:00 am, 4:00 pm, and 8:00 pm, at home | ELISA, LoD = 0.018 mg/dL. Intra- and inter-assay CV 4.3% and 5.2% | EPDS, PSS, Health Survey Questionnaire | > 10 | No special correlation identified between cortisol level and PPD. Cortisol at 8am and 8:30am at ppm6 was higher in breast fed women compared to those who primarily bottle fed |
| Corwin et al., 2015, USA ( | 152 | Cortisol, IL-6, IL-8, IL-10, IFN-γ | gw32-36 + ppw1,2+ppm1,2,3,6 | Awakening, 30 min, 11:00am, 4:00 pm, 8:00 pm, at home | ELISA, intra- and inter-assay CV 4.3% and 5.3% | EPDS, PSS | > 10 | Higher cortisol AUC at ppd14 is significant predictors of PPD | |
| Pawluski et al., 2015, Sweden ( | 268 prenatal, 181 postpartum | Cortisol | gw36 + ppw6 | 20pm and 22pm, at home | ELISA, intra- and inter-assay CV 8% and 11% | EPDS, SLE | > 10 | Higher evening cortisol in gw36 and postpartum in PPD women. Decrease in cortisol values from late pregnancy to postpartum | |
| Scheyer et al., 2016, USA ( | 100 | Cortisol | <gw16 + gw17-30 + gw30-32 + ppm3 | Awakening, 30, 45, 60 min after awakening;12:00 pm, 4:00 pm, 8:00 pm, at home | Time-resolved immunoassay with fluorescence detection, LoD = 0.43nM, intra- and inter-assay CV both <10 %. | EPDS, PSS | > 10 | Higher stress level associated with flatter diurnal cortisol patterns in T3. No significantly associated between perceived stress and average cortisol output, AUC, or CAR at any time | |
| de Rezende et al., 2016, Brazil ( | 104 | Cortisol | ppm6 | Awakening,30 min, 3 h and 12 h after awaking, at home | Radioimmunoassay, LoD = 60 ng/dL, intra- and inter-assay CV 2.1% and 9.3% | EPDS, CES-D, PSS, HAM-D, SCID-CV, BAI, ESS | > 10 | Relative increment in the CAR was significantly higher in healthy control than in euthymic postpartum women and depressive postpartum women. EPDS scores negatively correlated with CARi% in PPD patients | |
| García-Blanco et al., 2017, Spain ( | 148 | Cortisol, α-amylase | gw38 + pph48 + ppm3 | NA | Ultra-performance LC-MS, LoD = 0.05 nmol/L, intra- and inter-day CV 12% and 13% | BDI/SF, STAI, PSI/SF | NA | Cortisol levels increased sharply from 30 years of age at T3 | |
| Luecken et al., 2019, USA ( | 322 | Cortisol mother and infant | ppw12 + ppw2 | Immediately before observational episode, at 0, 20, 40min after final episode, at home | NA | EPDS | NA | Prenatal depressive symptoms did not predict dyadic dysregulation, maternal cortisol, or infant cortisol. Maternal cortisol was only associated with infant cortisol | |
| Bublitz et al., 2019, USA ( | 197 | Cortisol | salivary cortisol gw24 + gw30 + gw36 + ppd30 | Awakening, 30min after awaking, bedtime | Immunoassay with time-resolved fluorescence detection | SES, QIDS | NA | SES was significantly associated with CAR at gw30 and weakly associated with evening cortisol at gw24 and gw36. Women with lower SES displayed flattening diurnal rhythm of cortisol across pregnancy | |
| Nazzari et al., 2020, Italy ( | 89 | Cortisol, α-amylase, CRP, IL-6 | gw34-36 + gw89 + pph52 | 30min after awaking and before bed | ELISA | EPDS, STAI-S | NA | Higher prenatal depressive symptoms were associated with lower cortisol levels at waking and 30 min after waking, postnatal cortisol has significant effect of time from delivery | |
| Hair | Braig et al., 2016, Germany ( | 768 | Cortisol | ppd0-3 | NA | HPLC with MS/MS | TICS, PRAQ, HADS | NA | Hair cortisol were not correlated with self-reported chronic stress, anxiety, or depression |
| Caparros-Gonzalez et al., 2017, Spain ( | 44 | Cortisol | gw12, gw25, gw35, hair near scalp, <3 cm | NA | ELISA kit for saliva, LoD = 0.1ng/mL, intra- and inter-assay CV 2.7-4.3% and 4.4-6.3% | EPDS, PSS, SCL-90-R, GSI, PSDI, PDQ | ≥ 10 | Significant difference of hair cortisol levels between healthy and PPD participants in T1 and T3, significantly predicted EPDS scores | |
| Jahangard et al., 2019, Iran ( | 98 | Cortisol, cortisone, progesterone, testosterone, DHEA | 12week before delivery, ppw12, hair near scalp, <6 cm | NA | LC-MS/MS, LoD = 0.1pg/mg | EPDS, BDI | ≥ 12 | PPD is related to blunted hair cortisol both 12 weeks before and after delivery | |
| Stickel et al.,2020, Germany ( | 196 | Cortisol, cortisone | ppd1–6 + ppw12 | NA | SPE LC–MS | EPDS, SLESQ, MPAS, HAM-D | > 10 | Decrease in cumulative hair cortisol from the T3 to ppw12 was significant only in the non-depressive group and adjustment disorder group but not depressive group | |
| Urine | Shimizu et al., 2015, Japan ( | 54 | Cortisol, adrenaline, noradrenaline | ppm1 + ppm4 | before health check | NA | EPDS, General Health Questionnaire | ≥9 | No significant correlation was found between cortisol level and EPDS or GHQ score. Cortisol concentration positively correlated with adrenaline and noradrenaline at ppm1, adrenaline at ppm4 |
BAI, Beck Anxiety Inventory; BDI-SF, Beck Depression Inventory Short Form; CES-D, Center for Epidemiologic Studies Depression Scale; CRP, C reaction protein; CSF, cerebrospinal fluid; DHEA, dehydroepiandrosterone; DIGS, Diagnostic Interview for Genetic Studies adapted for postpartum depression; ELISA, Enzyme Linked Immunosorbent Assay; EPDS, Edinburgh Postnatal Depression Scale; ESS, Epworth Sleepiness Scale; FSSQ, Duke-UNC Functional Social Support Questionnaire; GSI, Global Severity Index; HADS, Hospital Anxiety and Depression Scale; gw, gestation week; HAM-D, Hamilton Rating Scale for Depression; HPLC, High Performance Liquid Chromatography; IES, Horowitz’s Impact of Event Scale; MAI, Maternal Attachment Inventory; MPAS, Maternal Postnatal Attachment Scale; MS, Mass spectrometry; NA, not available; NBAS, Neonatal Behavioral Assessment Scale; NUPDQ, Revised Prenatal Distress Questionnaire; pCRH, placenta CRH; PDQ, Prenatal Distress Questionnaire; ppd, day postpartum; pph, hour postpartum; ppm, month postpartum; PRAQ, Pregnancy Related Anxiety Questionnaire; PRLES, Paul Ramsey Life Experience Scale for life events; PSDI, Positive Symptom Distress Index; PSI/SF, Parenting Stress Index Short Form; PSQI, Pittsburgh Sleep Quality Index; PSS, Perceived Stress Scale; QIDS, Quick Inventory for Depressive Symptomatology; SCID-CV, Structured Clinical Interview for the DSM-IV clinical version; SCL-90-R, Symptom Checklist-90-Revised; SES, Socio-economic status; SLE, Stressful Life Event; SLESQ, Stressful Life Events Screening Questionnaire; STAI, State-Trait Anxiety Inventory; STAI-S, Subscale; T1, 1st trimester of pregnancy; T2, 2nd trimester of pregnancy; T3, 3rd trimester of pregnancy; TICS, Trier Inventory for Chronic Stress.
Comparison of the invasive and non-invasive methods for detecting cortisol.
| Items | Noninvasive | Invasive |
|---|---|---|
| Sample | Saliva, hair, and urine | Blood (plasma, serum) and CSF |
| Sampling methods | Swabs for saliva, hair near the scalp, and 24-h urine collection in a container | Peripheral blood collection and lumbar puncture |
| Clinical usage | Occasionally performed for endocrine disease | Blood samples are frequently obtained for endocrine disease, stress dysregulation, and infertility |
| Diagnostic method | ELISA for saliva and urine and LC-MS for hair | Chemiluminescence, ELISA, and lateral flow assay |
| Sampling conditions | Hospital or home, single or multiple time points, and variations in sample matrix and storage | Hospital, usually single time point per day, standard operation, consumables, and storage |
| Sample preparation | Easy for saliva, very complicated for hair | Easy and standardized |
| Detection time | Commonly 4–24 h for ELISA and >24 h for LC-MS | Commonly 1–2 h for chemiluminescence, 4–24 h for ELISA, and 10–15 min for lateral flow assay |
| Source of error | Self-sampling, storage, transportation, sample preparation, experimental operation, and quality of test kit | Calibration of equipment, experimental operation, and quality of test kit |
CSF, cerebrospinal fluid; ELISA, enzyme-linked immunosorbent assay; LC-MS, liquid chromatography mass spectrometry.
Main experimental concerns and potential solutions involving the detection of HPA axis hormones.
| Categories | Concerns | Potential solutions |
|---|---|---|
| Nature of the tools | Sensitivity, specificity, and reliability of the scoring system; cutoff time | Analyze the correlation according to different cutoff values (i.e., EPDS scores of 10–13), or address the correlation according to scores. |
| Selection of different biomarkers | Consider the detection technique in clinical settings. | |
| Experimental setting | Different sampling timing (antepartum and postpartum) | Combine the sampling points with regular antepartum and postpartum inspections according to local medical instructions. |
| Variation in sample types | In addition to invasiveness and noninvasiveness, consider sample treatment procedure and availability of commercial tests. | |
| Variation in collection timing for periodic hormone | Consider the time of cortisol and ACTH sampling to eliminate the variation in levels caused by normal fluctuation caused by circadian rhythm. | |
| Techniques | Preparation of different samples | Screening tool should be simple and easy to handle. |
| Usage of an | A safe, easily operated, commercialized method might help increase the reliability. Determine a reference range from a healthy population obtained with the selected method. | |
| Target population | Exclusion criteria and background of participants | Historical health data and basic health status of patients should be specified in studies and analyzed together with the stress hormones. |
| Socioeconomic and cultural differences | Verify whether questionnaires written in the local language are easy for target population to complete. For parallel comparison, results of other local studies can be used as references to establish cutoff values. |
ACTH, adrenocorticotropic hormone; EPDS, Edinburgh Postnatal Depression Scale; HPA, hypothalamus–pituitary–adrenal.