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Background : The aim of this study was to examine the relationship between conventional and novel Doppler parameters, including cerebroplacental ratio (CPR), cerebral-placental-uterine ratio (CPUR), umbilical-to-cerebral ratio (UCR), and amniotic-to-umbilical-cerebral ratio (AUCR), with the diagnosis of preeclampsia (PE) and adverse neonatal outcomes in PE cases. Methods : This prospective case-control study was conducted at the Ankara Etlik City Hospital Perinatology Clinic between November 2023 and May 2024. The study population was divided into two groups: Group 1, consisting of 74 patients diagnosed with preeclampsia, and Group 2, consisting of 80 healthy control patients. Composite adverse perinatal outcomes (CANOs) include presence of at least one adverse outcome: 5th-minute APGAR score < 7, transient tachypnea of the newborn (TTN), respiratory distress syndrome (RDS), need for continuous positive airway pressure (CPAP), need for mechanical ventilation, neonatal intensive care unit (NICU) admission, neonatal hypoglycemia, need for phototherapy, intraventricular hemorrhage (IVH), and neonatal sepsis. Results : The CPR, CPUR, and AUCR were significantly lower in the PE group compared to the control group, while the UCR was notably higher in the PE group. Among the combined ratios, the CPUR exhibited the highest diagnostic performance for both PE diagnosis and the prediction of CANOs. Additionally, while the UCR, CPR, and AUCR were significant for PE diagnosis, only AUCR demonstrated a significant association with the prediction of CANOs. Conclusions : Combined Doppler parameters, especially CPUR and AUCR, offer valuable insights into diagnosing PE and predicting CANOs. CPUR demonstrated the highest diagnostic accuracy, underscoring its potential utility in clinical settings.

Background/Objectives: Gestational diabetes mellitus (GDM) presents significant risks for both maternal and neonatal health, affecting fetal growth and increasing the likelihood of future diabetes mellitus (DM) development in affected women. The dysregulation of metabolic biomarkers, including catestatin, has been implicated in GDM pathophysiology. However, the clinical significance of catestatin in GDM remains poorly understood, particularly in the context of different therapeutic approaches. Methods: This observational, prospective, and cross-sectional study was conducted to evaluate maternal serum catestatin levels in gestational diabetes mellitus (GDM) patients and healthy controls. Data were collected at a single time point during the second trimester of pregnancy (24 to 28 weeks). Participants were categorized based on their glucose tolerance and GDM management strategies (diet regulation or insulin therapy). Results: Receiver Operating Characteristic (ROC) analysis demonstrated the diagnostic significance of serum catestatin levels in GDM, suggesting a cut-off value of >9.61 ng/mL for discriminating between women with and without GDM. However, further research is needed to elucidate the mechanistic role of catestatin in GDM and its utility in guiding therapeutic interventions. Conclusions: Our study highlights the potential of catestatin as a biomarker for GDM risk stratification and monitoring, complementing existing diagnostic tools. Integrating metabolic biomarkers like catestatin into clinical management approaches may optimize maternal and neonatal health outcomes in GDM. However, the limitations of our study, including its cross-sectional design and sample size, underscore the need for future multicenter studies to validate our findings comprehensively.

Background : In this study, the aim was to investigate blood-based clinical biomarkers of inflammation and nutrition indices in hyperemesis gravidarum (HG). Methods : This retrospective case-control study was conducted at a tertiary hospital between 2018 and 2022. A total of 820 pregnant women were enrolled in this study; 410 pregnant women were diagnosed with HG (HG group) at 6-14 weeks of gestation, and 410 pregnant women were healthy controls (control group) in the same gestational weeks. Patients' demographic and clinical characteristics and laboratory parameters were recorded. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score, the modified-HALP (m-HALP) score, and the prognostic nutritional index (PNI) were calculated. Results : The HALP score (32.6 (IQR: 24.9-41.5) vs. 39.2 (IQR: 30.8-49.2), p < 0.001) and the PNI score (50 (IQR: 46.3-53.6) vs. 51.3 (IQR: 48.6-53.8), p < 0.001) were significantly lower in the HG group, whereas the m-HALP score was similar between the groups. The HALP score had an AUC of 0.625 (95% CI: 0.586-0.664), with the optimal cut-off value set at 35.8, resulting in a sensitivity of 59.7% and a specificity of 59.5% ( p < 0.001). Similarly, the PNI score showed an AUC of 0.580 (95% CI: 0.541-0.619), and the optimal cut-off value was set at 50.6, resulting in a sensitivity of 54.9% and a specificity of 54.9% ( p < 0.001). In regression analysis, lower HALP scores (OR: 0.906, 95% CI: 0.833-0.984, p = 0.019) and lower PNI scores (OR: 0.941, 95% CI: 0.891-0.995, p = 0.033) were significantly associated with HG, highlighting their potential as diagnostic markers. Additionally, a negative statistically significant correlation was observed between PNI scores and ketonuria (r = -0.073, p = 0.036). Conclusions : This study demonstrated a decrease in the HALP score and PNI score in cases of HG. However, the m-HALP score was similar in the HG and control groups.

Objective: To determine the role of sortilin in the pathogenesis of fetal growth restriction (FGR) by examining serum sortilin levels in fetal cord blood. Methods: This prospective case-control study was conducted at Ankara Etlik City Hospital between July 2023 and January 2024. Group 1 included 44 pregnant women with late FGR; Group 2 included 44 healthy pregnant women as controls. Results: Umbilical cord blood sortilin levels were significantly higher in the FGR group [2.96 (2.43-4.01)] compared to the control group [2.12 (1.74-3.18)] ( p  = 0.001). Sortilin levels negatively correlated with APGAR scores at 1 min (r=-0.281, p  = 0.008) and 5 min (r=-0.292, p  = 0.006). A sortilin threshold of 2.58 ng/ml predicted composite adverse neonatal outcomes with 66.7% sensitivity, 53.1% specificity, and an AUC of 0.652 (95% CI: 0.529-0.775, p  = 0.031). Conclusion: This study showed that sortilin levels, which are indicators of oxidation, were higher in the cord blood of newborns with late FGR.

Background: This study investigates the role of Delta Neutrophil Index (DNI), an inflammation marker, in late-onset fetal growth restriction (LO-FGR) and its prediction of composite adverse neonatal outcomes., Methods: A retrospective study was conducted on 684 pregnant women (456 with normal fetal development and 228 with LO-FGR) who delivered at Health Sciences University Etlik Zubeyde Hanim Women's Health Training and Research Hospital between January 1, 2015, and June 30, 2018. Composite adverse neonatal outcomes were defined as at least one of the following: 5th minute APGAR score < 7, respiratory distress syndrome (RDS), or neonatal intensive care unit (NICU) admission., Results: The FGR group had significantly higher levels of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), and DNI compared to controls (p < 0.05, for all). For FGR diagnosis, the DNI demonstrated the highest area under the curve (AUC = 0.677, 95% CI: 0.642-0.711) with a cut-off value of > -2.9, yielding a sensitivity of 78.41%, a specificity of 52.97%, a positive likelihood ratio (+ LR) of 1.68, and a negative likelihood ratio (-LR) of 0.37 (p < 0.001). For predicting composite adverse neonatal outcomes in the FGR group, DNI again demonstrated superior performance with an AUC of 0.635 (95% CI: 0.598-0.670), a cut-off value of > -2.2, a sensitivity of 69.90%, a specificity of 55.36%, a + LR of 1.56, and a -LR of 0.51 (p < 0.001). NLR, PLR, and MLR had AUCs below 0.55, indicating poor discriminative ability, with none reaching statistical significance., Conclusion: This study highlights the potential role of DNI as a promising biomarker for detecting inflammatory processes associated with LO-FGR and its complications., (© 2024. The Author(s).)

Objective: To evaluate amniotic fluid volume with Doppler parameters and its association with composite adverse perinatal outcomes (CAPOs) in fetal growth restriction (FGR)., Materials and Methods: This study was conducted prospectively in a tertiary referral center between 2023 and 2024 on pregnant women diagnosed with early- and late-onset FGR. Fetal ultrasonographic measurements, including deepest vertical pocket (DVP) for amniotic fluid, and Doppler parameters including uterine artery (UtA) systolic/diastolic (S/D) and pulsatility index (PI), middle cerebral artery (MCA) S/D and PI, and umbilical artery (UA) S/D and PI, were conducted following fetal biometry. The cerebroplacental ratio (CPR), cerebral ratio, cerebro-placental-uterine ratio (CPUR), and amniotic-umbilical-to-cerebral ratio (AUCR) were all calculated. Pregnant women diagnosed with FGR were planned to give birth after 37 weeks' gestation, unless a pregnancy complication requiring earlier delivery occurred. We assessed perinatal outcomes subsequent to delivery, with CAPOs defined as the presence of at least one adverse outcome: 5th minute APGAR score <7, respiratory distress syndrome (RDS), umbilical cord blood pH <7.2, and neonatal intensive care unit (NICU) admission., Results: The study included 132 participants, divided into early- (n = 32) and late-onset FGR (n = 100) groups. AUCR was significantly lower in fetuses with late-onset FGR who experienced CAPOs. Multivariate analysis showed gestational age at birth and birth weight were significant predictors of CAPOs in early-onset FGR, while gestational age, birth weight, and AUCR were significant predictors in late-onset FGR. CPR, UCR, and CPUR did not show significance in predicting CAPOs in both early- and late-onset FGR on multivariate analysis., Conclusions: AUCR is a potential reliable marker for predicting adverse perinatal outcomes in late-onset FGR., (© 2024 Wiley Periodicals LLC.)

Objectives: This study evaluates the association of novel inflammatory markers and Doppler parameters in late-onset FGR (fetal growth restriction), utilizing a machine-learning approach to enhance predictive accuracy., Materials and Methods: A retrospective case-control study was conducted at the Department of Perinatology, Ministry of Health Etlik City Hospital, Ankara, from 2023 to 2024. The study included 240 patients between 32 and 37 weeks of gestation, divided equally between patients diagnosed with late-onset FGR and a control group. We focused on novel inflammatory markers-systemic immune-inflammation index (SII), systemic inflammatory response index (SIRI), and neutrophil-percentage-to-albumin ratio (NPAR)-and their correlation with Doppler parameters of umbilical and uterine arteries. Machine-learning algorithms were employed to analyze the data collected, including demographic, neonatal, and clinical parameters, to develop a predictive model for FGR., Results: The machine-learning model, specifically the Random Forest algorithm, effectively integrated the inflammatory markers with Doppler parameters to predict FGR. NPAR showed a significant correlation with FGR presence, providing a robust tool in the predictive model (Accuracy 77%, area under the curve [AUC] 0.851). In contrast, SII and SIRI, while useful, did not achieve the same level of predictive accuracy (Accuracy 75% AUC 0.818 and Accuracy 73% AUC 0.793, respectively). The model highlighted the potential of combining ultrasound measurements with inflammatory markers to improve diagnostic accuracy for late-onset FGR., Conclusions: This study illustrates the efficacy of integrating machines with traditional diagnostic methods to enhance the prediction of late-onset FGR. Further research with a larger cohort is recommended to validate these findings and refine the predictive model, which could lead to improved clinical outcomes for affected pregnancies., Trial Registration: ClinicalTrials.gov identifier: NCT06372938., (© 2024 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: The aim of this study was to evaluate the potential of immunonutritional markers, specifically the hemoglobin, albumin, lymphocyte, and platelet (HALP) score and the prognostic nutritional index (PNI), in predicting late-onset fetal growth restriction (LO-FGR) during the first trimester., Materials and Methods: This retrospective study was conducted at a tertiary care center between October 2022 and August 2023. The study included a total of 213 singleton pregnancies, with 99 women in the LO-FGR group and 114 in the healthy control group, matched by maternal age and gestational age at delivery. All blood samples were collected between 11 and 14 weeks of gestation (during the first-trimester screening test). We analyzed first-trimester laboratory parameters, specifically focusing on hemoglobin levels, white blood cells (WBCs), lymphocytes, platelets, and albumin levels. Afterwards, we calculated the HALP score and PNI, and then compared the values of both groups., Results: Both HALP score (3.58 ± 1.31 vs. 4.19 ± 1.8, p = 0.012) and PNI (36.75 ± 2.9 vs. 39.37 ± 3.96, p < 0.001) were significantly lower in the FGR group than in the control group. The HALP score cut-off value of < 3.43 in predicting FGR had a sensitivity of 62.3% and specificity of 54.5% (AUC = 0.600, 95% CI: 0.528-0.672, p = 0.012). The PNI cut-off value of < 37.9 in predicting FGR had a sensitivity of 65.8% and specificity of 62.9% (AUC = 0.707, 95% CI: 0.632-0.778, p < 0.001). While the HALP score was not a significant predictor of composite adverse neonatal outcomes in the FGR group, PNI showed a cut-off value of < 37.7 with a sensitivity of 60.9% and specificity of 59.7% (AUC = 0.657, 95% CI: 0.581-0.733, p < 0.001)., Conclusion: The HALP score and PNI are valuable prognostic tools for predicting the risk of FGR in the first trimester. Low PNI values are also associated with composite adverse neonatal outcomes in pregnancies complicated by FGR., (© 2024. The Author(s).)

Background: This study aimed to evaluate the umbilical cord blood chondroitin sulfate proteoglycan 4 (CSPG4) concentrations in pregnancies complicated with fetal growth restriction (FGR) and aimed to investigate the rela-tionship between the CSPG4 levels in these pregnancies and adverse neonatal outcomes., Methods: This prospective case-control study was conducted between August 2023 and January 2024. The study included 80 singleton pregnancies at 35 to 39 weeks of gestation. Among these, 40 were diagnosed with FGR and 40 served as the control group. After the delivery, samples of the cord blood were collected prior to the placental delivery., Results: The CSPG4 levels were significantly higher in the study group (FGR), 1,153 (1,059 - 1,261) pg/mL, than in the control group, 1,107 (873 - 1,197) pg/mL (p = 0.024). When all patients were evaluated, the CSPG4 levels showed a positive correlation with the systolic/diastolic (S/D) ratio of the umbilical arteries (r = 0.276, p = 0.013). A statistically significant negative correlation was observed between the levels of CSPG4 in the umbilical cord blood and the Apgar scores at the 1st (r = -0.256, p = 0.022) and 5th (r = -0.250, p = 0.026) minutes. The discriminatory power of the umbilical cord CSPG4 level in the determination of composite adverse neonatal outcomes was evaluated by ROC analysis and a cutoff point of > 1,091.25 pg/mL, showing a sensitivity of 93.3%, a specificity of 46.2%, and an AUC of 0.661 (95% CI: 0.547 - 0.763, p = 0.019)., Conclusions: Elevated levels of CSPG4 have been observed in the umbilical cord blood in pregnancies complicated by FGR; higher levels are associated with adverse neonatal outcomes.

Objective: To investigate the predictive value of the Controlling Nutritional Status (CONUT) score on hyperemesis gravidarum (HG) severity, hospitalization, and length of stay., Materials and Methods: This retrospective cross-sectional study, conducted between December 2022 and June 2023, involved two groups. Group 1 comprised 52 pregnant women diagnosed with HG in the first trimester, receiving hospitalization and treatment. Group 2 included 105 pregnant women diagnosed with HG in the first trimester, managed and treated as outpatients. The CONUT score was calculated with the formula: Serum albumin score + total lymphocyte score + total cholesterol score. This score is calculated with a number of points between 0 and 12. The interpretation of the score involves four categories: normal (0-1), light (2-4), moderate (5-8), and severe (9-12)., Results: The CONUT score differed significantly between the hospitalized (4, IQR: 2.25-5) and outpatient groups (2, IQR: 2-3) (p < 0.001). A CONUT score >3 was associated with the need for hospitalization, demonstrating a sensitivity of 60%, a specificity of 84% (p < 0.001). The CONUT score was the parameter with the highest odds ratio (OR) value among the parameters related to the need for hospitalization, and each unit increase in the CONUT score increased the need for hospitalization by 1.683 times [OR = 1.683 (95% CI: 1.042-2.718), p = 0.033]. A positive correlation was found between the CONUT score and the duration of hospital stay (r = 0.316, p = 0.023)., Conclusions: This study suggests CONUT score as a valuable tool for predicting HG severity, hospitalization need, and duration of hospital stay., (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Our study aimed to investigate the value of inflammatory indices in predicting the latency period until birth in patients with preterm premature rupture of membranes (PPROM)., Methods: This retrospective study was conducted on PPROM cases between 24 and 34 weeks of gestation at Ankara Etlik City Hospital Perinatology Department from October 2023 to April 2024. A total of 146 participants were divided into two groups: Group 1 included 73 patients who gave birth within 72 hours (h) of PPROM diagnosis, and Group 2 included 73 patients who gave birth after 72 h., Results: This study evaluated the prognostic significance of various inflammatory markers neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR), systemic immune inflammation index (SII), systemic inflammatory response index (SIRI), pan-immune inflammation value (PIV), immature granulocytes (IG), multi-inflammatory index (MII)-1, MII-2, and MII-3 in predicting the latency period in patients with PPROM. Only MII-1, MII-2, and MII-3 reliably predicted labor within 72 h. The cut-off value for MII-1 was > 48.3, with a sensitivity of 57.7% and specificity of 57.3% (AUC: 0.598, 95% CI: 0.503-0.692, p = 0.042). For MII-2, the cut-off was > 1037.6, with a sensitivity of 57.7% and specificity of 57.3% (AUC: 0.611, 95% CI: 0.516-0.705, p = 0.021). MII-3 had a cut-off of > 10919.9, with a sensitivity of 53.5% and specificity of 52% (AUC: 0.595, 95% CI: 0.501-0.690, p = 0.046)., Conclusion: Our findings show that, among NLR, PLR, MLR, SII, SIRI, PIV, IG, MII-1, MII-2, and MII-3, only MII-1, MII-2, and MII-3 levels are statistically significant in predicting birth timing., (© 2024. The Author(s).)

Objective: To investigate the role of inflammatory markers, including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and monocyte to lymphocyte ratio (MLR), c-reactive protein (CRP) to albumin ratio (CAR), fibrinogen to albumin ratio (FAR), and fibrinogen to CRP ratio (FCR) in predicting the latency period (≤72 vs. >72 hours) before preterm birth., Materials and Methods: In a retrospective study, we assessed 135 patients meeting the specified criteria with signs of preterm labor (<34 weeks). The patients were categorized into two groups: 71 patients giving birth within 72 h (latency ≤ 72 h) and 64 patients giving birth after 72 h (latency > 72 h). We examined the demographic and medical characteristics and perinatal outcomes of all participants. Categorical variables between groups were compared using the Chi-square test. The Student's t-test was utilized for normally distributed continuous variables, and the Mann-Whitney U test was applied for non-normally distributed data. Receiver operating characteristic (ROC) curve analysis was conducted to identify the optimal cut-off levels for inflammatory markers in predicting the latency period before birth., Results: Among the parameters examined, significant differences were observed between the groups only in terms of CAR and FCR. While CAR showed a significantly higher value in the group with latency period ≤72 h (0.537 ± 1.239 vs. 0.247 ± 0.325, p = 0.022), FCR showed a significantly lower value in the group with latency period ≤72 h (63.58 (2.99-1165) vs. 88.93 (9.35-1165), p = 0.013). The identified cut-off value for CAR was 0.190, providing a sensitivity of 57.7% and a specificity of 56.3% (p = 0.022). The cut-off value for FCR was 71.67, with a sensitivity of 42.3% and a specificity of 42.2% (p = 0.013)., Conclusions: The CAR and the FCR, serving as predictive markers for preterm labor, may offer a simple, cost-effective, and easily accessible approach, particularly in resource-limited settings., (© 2024 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.)

Objective: The aim of this study was to investigate the predictive value of inflammation parameters and indices measured in the first trimester for the detection of preeclampsia., Materials and Methods: In this retrospective analysis, we examined the medical records of 276 eligible pregnancies at a tertiary referral center from 2022 to 2023. The cases were categorized into the Control group (n = 171), the Mild Preeclampsia group (n = 63), and the Severe Preeclampsia group (n = 42). We examined the demographic characteristics and perinatal outcomes of all participants. Additionally, we analyzed laboratory parameters, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), systemic immune inflammation index (SII) (neutrophil*platelet/lymphocyte), systemic inflammation response index (SIRI) (neutrophil*monocyte/lymphocyte), pan-immune inflammation value (PIV) (neutrophil*platelet*monocyte/lymphocyte), and the β-hCG to PAPP-A ratio in the first trimester. Receiver operating characteristic curve (ROC) analysis was conducted to identify the optimal cut-off levels for inflammatory markers in predicting preeclampsia., Results: SIRI and PIV exhibited statistical significance in differentiating between the preeclampsia and control groups for predicting preeclampsia. The determined cut-off value for SIRI was 1.5, providing a sensitivity of 56.2% and a specificity of 55.6% (p = 0.012). Likewise, the cut-off value for PIV was 394.4, with a sensitivity of 55.2% and a specificity of 55% (p = 0.013). NLR, PLR, MLR, SII, and β-hCG to PAPP-A ratio could not predict preeclampsia., Conclusions: This study suggests that SIRI and PIV hold promise as potential tools for predicting the risk of preeclampsia during the first trimester., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

Objective: In the present study, we aimed to investigate the role of the fasting serum levels of Anjiopoetın 2 - like protein (ANGPTL2), Anjiopoetın 8-like protein (ANGPTL8), and high-sensitivity C-reactive protein (hs-CRP) in the etiopathogenesis of gestational diabetes mellitus (GDM), and analyze the relationships between insulin resistance parameters., Material and Method: The 90 individuals admitted to İzmir Katip Celebi University Hospital Internal Medicine, Endocrinology and Obstetrics, and gynecology outpatient clinic were included in the study of similar ages and similar demographic characteristics. Forty-five women with diet-controlled GDM and 45 women with normoglycemic pregnancy were enrolled. ANGPTL-2, ANGPTL-8, hs-CRP, creatinine, ALT, GGT, lipid profile, HBA1c(%), and serum insülin, c-peptide levels were studied in the fasting serum samples of research groups. All individuals had 75-g OGTT testing. GDM screening was performed at 24-28 weeks' gestation. Exclusion criteria were as follows: Age <18 years or >40 years, pregestational diabetes (type 1 or 2), drug or alcohol abuse, thyroid dysfunction, Hepatitis B, and other infectious diseases (Herpes virus, Streptococcus B carriers, Chlamydia and Candida), Thalassemia carriers or other significant medical conditions, the use of any medication that interferes with lipid or glucose metabolism that would affect glucose regulation., Result: Forty-five women with GDM and for the control group, 45 women with normoglycemic pregnant women were identified. The mean gestational age was 30.7 (18-38) for GDM and 29.6 (24-39) for the control group. Serum ANGPTL-8 (GDM =19.5 ± 93 Control = 0.73 ± 3.78 p  = <.001). There was a statistically significant difference between the case and control groups for serum ANGPTL-8 levels. Serum ANGPTL-2 (GDM =19.9 ± 23.1 Control = 26.0 ± 23.4 p  = .105) and serum hs-CRP(GDM =106 ± 65.1 Control =98.2 ± 87.3 p  = .768). There was no statistically significant difference between the case and control groups for serum ANGPTL-2 and hsCRP levels. Serum ANGPTL8 levels were positively correlated with FPG ( r  = 0.391, p  = <.001), FPI ( r  = 0.212, p  = .045), 1-h PPG ( r  = 0.514, p = <.001), 2-h PPG ( r  = 0.502, p = <.001), HOMA-IR) score ( r  = 0.310, p  = .003), TG ( r  = 0.245, p  = .020); they were not except for BMI, hs-CRP levels and ANGPTL2 levels., Conclusions: ANGPTL8 levels were significantly higher in GDM than in healthy control group. ANGPTL2 levels and hs-CRP levels were similar to the healthy control group. Elevated serum ANGPTL8 levels were correlated significantly with insulin resistance parameters, the main component of GDM pathophysiology. Our data showed that ANGPTL8 could be a new biomarker for diagnosing GDM.