Protein is an essential macronutrient for the growth and development of infants. Protein levels in lactating mothers are dynamic and influenced by various factors, particularly the environment and maternal characteristics. Therefore, this study aimed to evaluate the complex correlation between maternal blood lead levels (BLLs), maternal diet, and total milk protein. The Kruskal–Wallis test was used to compare total milk protein in the three groups of lead exposure, while Spearman’s correlation was used to assess the correlation between maternal diet, BLLs, and total milk protein. The multivariate analysis used multiple linear regression. The results showed that the median of maternal BLLs and total milk protein were 3.3 µg/dL and 1.07 g/dL, respectively. Maternal protein intake and current BMI had a positive correlation with total milk protein, while BLLs had a negative correlation. BLLs ≥ 5 μg/dL had the most significant impact on reducing the total milk protein (p = 0.032). However, increasing maternal protein intake can effectively maintain total milk protein levels in mothers with BLLs under 5 μg/dL (p < 0.001). It is crucial to measure BLLs in lactating mothers residing in areas exposed to lead because high maternal protein intake can only maintain total milk protein levels when the BLLs are <5 μg/dL.

Objectives: Prolactin is vital for breastfeeding and milk production, and its secretion is influenced by factors related to the mother, infant, and environment. To date, no study has concurrently investigated the correlation of these factors with serum prolactin levels during lactation. Therefore, the objective of this study was to investigate the correlations among maternal and infant factors, lead exposure, and serum prolactin levels during lactation.Methods: A cross-sectional approach was employed in Surabaya, Indonesia, among 110 exclusively lactating mothers. The mothers’ daily diets were determined using multiple 24-hour recalls, while blood lead levels were measured with inductively coupled plasma mass spectrometry. Serum prolactin levels were assessed using the electrochemiluminescence immunoassay. For bivariate analysis, we employed the Spearman correlation, Mann-Whitney, and Kruskal-Wallis tests, while for multivariate analysis, we utilized multiple linear regression.Results: The average serum prolactin level of the lactating mothers was 129.19±88.96 ng/mL. Positive correlations were found between serum prolactin levels and breastfeeding frequency (p < 0.001), protein intake (p < 0.001), and calcium intake (p = 0.011) but had negative correlation with blood lead levels (p < 0.001) and vitamin B6 intake (p = 0.003). Additionally, prolactin levels were not significantly associated with maternal age; parity; intake of calories, vitamin D, vitamin E, zinc, folic acid, magnesium, or iron; infant age; or infant sex.Conclusions: Breastfeeding frequency had a stronger positive relationship with serum prolactin levels than protein and calcium intake. However, lead exposure was associated with reduced serum prolactin levels during lactation. Consequently, specific interventions from policymakers are necessary to manage breastfeeding in mothers exposed to lead.

BACKGROUNDOvarian aging is associated with impaired steroidogenesis and estrogen signaling, contributing to reproductive dysfunction. Dendrophthoe pentandra (Mango Mistletoe), a flavonoid-rich plant with antioxidant properties, has demonstrated anti-inflammatory and cytoprotective effects in experimental studies. However, its role in modulating the integration of ovarian steroidogenic and estrogen-responsive pathways during aging remains unclear. This study evaluated the effects of D. pentandra leaf extract on the expression of steroidogenic acute regulatory protein (StAR), aromatase (CYP19A1), estrogen receptor α (ERα), and ERβ in aged female mice. METHODSThis experimental study included 25 female mice: 5 young (8–12 weeks) and 20 aged (18–20 months). Animals were allocated to five groups (n=5 per group): young controls, aged controls, and three aged treatment groups receiving D. pentandra leaf extract at doses of 150, 300, and 600 mg/kg BW, respectively, for 30 days. Protein expression was evaluated using immunohistochemistry and analyzed using one-way ANOVA followed by Tukey HSD post hoc test. RESULTSAged mice exhibited significantly lower expression of StAR, aromatase, ERα, and ERβ compared with young controls. Administration of D. pentandra extract significantly increased expression of all evaluated markers in a dose-dependent manner (p<0.001). Post hoc analysis demonstrated significant restoration of steroidogenic and estrogen-signaling–related protein expression, particularly in the highest-dose group, where aromatase, ERα, and ERβ expression approached or exceeded levels observed in young controls. CONCLUSIOND. pentandra leaf extract restored key components of ovarian steroidogenesis and estrogen signaling in aged mice, suggesting potential phytoendocrine modulatory activity against age-related ovarian endocrine decline.

Background: Breastfeeding self-efficacy is a critical factor influencing the initiation and continuation of breastfeeding among mothers. Low self-efficacy affects mothers’ ability to sustain breastfeeding. Several studies have investigated the factors influencing breastfeeding self-efficacy, but none have interconnected maternal, infant, and social support factors. Aims: This study aimed to measure the correlation between maternal and infant factors, social support, and breastfeeding self-efficacy. Methods: A cross-sectional approach was employed in Jember, Indonesia, among 200 breastfeeding mothers. The study population consisted of mothers 17-42 years old who were breastfeeding and who met the following inclusion criteria: mothers who have babies aged 1-6 months, term pregnancy history, wanted pregnancy, and baby weight born ≥ 2500 grams. Maternal and infant factors and social support were determined through interviews and questionnaires. Breastfeeding self-efficacy was examined using The Breastfeeding Self-efficacy Scale Short. The multiple logistic analysis was used for multivariate analysis. Results: Of a total of 200 breastfeeding mothers, 63% had low breastfeeding self-efficacy, and 59.5% of mothers did not exclusively breastfeed. The multiple logistic regression indicated that 74.2% of the factors included in the model influenced breastfeeding self-efficacy. Positive correlations were observed between breastfeeding self-efficacy and feeding type (OR=6.603), breastfeeding frequency (OR=6.220), breastfeeding intention (OR=4.993), and family type (OR=4.001). Conclusion: feeding type, breastfeeding frequency, and family support were the important factors that support breastfeeding self-efficacy.