Skip to main content
The Scientific World Journal logoLink to The Scientific World Journal
. 2026 Aug 13;2026:1029295. doi: 10.1155/tswj/1029295

The Role of IGF‐1 and IL‐10 in Childhood Stunting: Evidence From Indonesia

Putriatri Krimasusini Senudin 1,2, Irwanto 3,✉, Nur Aisiyah Widjaja 3, Sulistiawati 4
Editor: Deepali Deepali
PMCID: PMC13471639  PMID: 42593297

Abstract

Stunting remains a pressing public health problem in low‐ and middle‐income countries. The specific biochemical roles of growth‐ and immune‐related biomarkers with stunting are less understood. This study is aimed at investigating the contribution of insulin‐like growth factor 1 (IGF‐1) and interleukin‐10 (IL‐10) to stunting among Indonesian children. A case‐control design was employed involving 80 children aged 24–60 months in Manggarai, Indonesia (40 stunted and 40 nonstunted), matched by age, sex, and residence. Data were collected through anthropometric measurements, household surveys, structured interviews, and biochemical analysis of serum IGF‐1 and IL‐10 using ELISA. Findings revealed that stunted children had significantly lower IGF‐1 levels (11.963 ± 8.658 vs. 18.000 ± 15.238, p < 0.05) and higher IL‐10 levels (317.841 ± 214.934 vs. 543.605 ± 416.837, p < 0.05) compared with controls. The study concludes that effective stunting prevention requires integrated interventions addressing both nutritional adequacy and infection control in early childhood.

Keywords: child growth, early childhood, IGF-1, IL-10, nutritional status, stunting

1. Introduction

Stunting is a major global public health issue affecting millions of children worldwide, particularly in low‐ and middle‐income countries such as Indonesia. It reflects chronic undernutrition and caused long‐term deficits in cognitive development, physical growth, and future productivity. In Indonesia, stunting is prevalent, with substantial variations across different regions and socioeconomic groups.

In 2013, approximately 8.9 million (37.2%) of all Indonesian children under five were stunted in 2013 [1]. Despite efforts to reduce these numbers, stunting persists, with a 23% prevalence in Malang Regency in 2022 [2]. Stunting leads to high mortality rates, impaired cognition, poor academic performance, and reduced productivity in adulthood [1, 3].

Several factors contribute to the high prevalence of stunting in Indonesia, particularly in regions such as Manggarai. Socioeconomic determinants include maternal education, family income, and employment status. Children of uneducated mothers face a higher risk of moderate and severe stunting than those of tertiary‐educated mothers [4, 5]. Additionally, low family income and unemployment among mothers are associated with higher stunting rates [2, 6].

Health‐related factors such as low birth weight, inadequate antenatal care, and a history of infectious diseases strongly affect stunting. Children with low birth weight have higher odds of severe and moderate stunting [2, 4, 7]. Furthermore, inadequate antenatal care and maternal health during pregnancy, including anemia and lack of immunization, increase stunting risk [2, 4, 8].

Environmental factors such as poor sanitation and lack of clean water exacerbate stunting. Inadequate water, sanitation, and hygiene account for 56% of malnutrition cases, highlighting the need for safe drinking water and sanitation investments [1, 9]. Food insecurity and limited access to nutritious food further increase stunting risk [10, 11].

Stunting, a condition characterized by impaired child growth and development, is influenced by a complex interplay of biological, nutritional, and environmental factors. Recent studies emphasize the role of biological factors, including growth‐regulating hormones and immune responses in contributing to stunting, alongside traditional factors such as nutritional intake and environmental conditions [12–14]. For example, infections, even asymptomatic, trigger systemic inflammation that reduces growth‐promoting hormone levels such as insulin‐like growth factor 1 (IGF‐1), hindering growth [15]. Addressing stunting requires a holistic approach that includes biological and traditional risk factors.

IGF‐1 is a crucial hormone essential for linear growth and development. IGF‐1 regulates various cellular processes including proliferation, differentiation, and apoptosis [16–18]. Primarily produced in the liver, IGF‐1 acts on bones, muscles, and the nervous system [19, 20]. The hormone′s bioavailability is regulated by IGF‐binding proteins (IGFBPs), which modulate its interaction with the IGF‐1 receptor [21]. Disruptions in the IGF‐1 signaling pathway can lead to growth impairments and are linked to conditions such as intrauterine growth restriction and various metabolic diseases [22, 23]. Therefore, IGF‐1 is essential for normal growth and a potential therapeutic target for growth‐related disorders.

Moreover, interleukin‐10 (IL‐10) is an anti‐inflammatory cytokine essential for modulating immune responses. It primarily suppresses inflammation by inhibiting the production of proinflammatory cytokines and other inflammatory mediators [24–26]. IL‐10 achieves this via the Jak1/Tyk2 and STAT3 signaling pathways, maintaining cellular homeostasis and preventing tissue damage during immune responses [24]. Notably, IL‐10 also has immunostimulatory properties under certain conditions, enhancing immune responses against infections [27, 28]. Its dual suppressive and stimulatory roles make IL‐10 crucial in managing hyperinflammatory conditions such as autoimmune diseases and chronic infections [29, 30]. Understanding the regulatory mechanisms of IL‐10 may inform novel therapeutic strategies aimed at modulating immune responses more effectively.

Although nutritional and socioeconomic determinants of stunting are well studied, the biochemical contributions, particularly the roles of IGF‐1 and IL‐10, remain underexplored in Indonesian children. IGF‐1 is crucial for growth and development, with low levels associated with stunting in children. For example, a study conducted in Surabaya, Indonesia, showed stunted children had significantly lower IGF‐1 levels than nonstunted children, suggesting a protective role [31]. Similarly, another study found high blood lead levels, which disrupt IGF‐1, increase stunting risk in children living in agricultural areas [32]. These findings highlight IGF‐1′s importance in growth and its potential vulnerability to environmental factors.

The role of IL‐10 in stunting among Indonesian children remains unclear. Although IL‐10 has anti‐inflammatory properties, its specific impact on stunting is poorly documented in Indonesian children. A study on Bangladeshi children indicated that IL‐10 levels significantly increased among stunted children after intervention, suggesting a potential role in the inflammatory response associated with stunting [33]. Despite this, a notable gap exists in research specifically addressing the biochemical pathways involving IL‐10 in Indonesian children. Therefore, future studies should elucidate the roles of IGF‐1 and IL‐10 to provide a comprehensive understanding of the biochemical factors contributing to stunting in this population. This study addresses this gap by investigating the contribution of IGF‐1 and IL‐10 levels to stunting among children aged 24–60 months in Puskesmas Kota, Manggarai, Indonesia, using a case‐control design.

2. Materials and Methods

2.1. Study Design and Participants

This study employed a case‐control design to investigate the role of serum IGF‐1 and IL‐10 levels in stunting incidence among children aged 24–60 months. A case‐control approach is suitable for assessing exposure‐outcome associations, particularly when outcomes are uncommon or when ethical or logistical considerations prevent prospective cohort designs [34]. Its retrospective nature enables efficient examination of multiple predictors within a defined population [35, 36].

This study was conducted in the working area of Puskesmas Kota, located in Manggarai Regency, East Nusa Tenggara, Indonesia, which serves 11 urban villages: Laci, Carep, Compang Carep, Bangka Nekang, Karot, Mbaumuku, Pitak, Pocomal, Satar Tacik, Tadong, and Watu. The study was implemented over 4 months (September to December 2024). Its primary objective was to examine and compare serum IGF‐1 and IL‐10 levels between stunted and nonstunted children.

The study population included all children aged 24–60 months in the designated Puskesmas Kota area. Eighty children, boys and girls, were recruited via random sampling. The sample included 40 stunted (defined by a height‐for‐age Z‐score [HAZ/LAZ] < −2 standard deviations [SDs]) and 40 nonstunted children (HAZ/LAZ ≥ −2 SD). Participants in the control group were matched to cases based on residential location, age, and sex, following a 1:1 case‐control ratio.

Data were collected by conducting structured interviews and household surveys with parents for the case and control groups. Information on infectious disease history was gathered using a standardized questionnaire developed by the Indonesian Ministry of Health (2018). Nutritional intake was assessed using a 24‐h dietary recall instrument adapted from the 2018 Indonesian National Food and Nutrition Workshop. Dietary data were subsequently processed and analyzed using Nutrisurvey 2007.

2.2. Anthropometric Measurements

Body weight was measured using either a SECA 334 infant scale or a SECA 813 standing scale (SECA GmbH, Hamburg, Germany) and recorded in grams. Height or recumbent length was measured with a SECA 416 infantometer or SECA 213 stadiometer and recorded in centimeters. Anthropometric indices, including HAZ/LAZ, were calculated using the World Health Organization (WHO) child growth standards. Stunting was classified as a HAZ/LAZ score below −2 SD.

2.3. Biochemical Analysis

Venous blood samples (5 mL) were collected from each participant in ethylenediaminetetraacetic acid tubes by trained local laboratory personnel. Samples were centrifuged at 4000 rpm for 10 min, and serum was promptly separated and stored at −20°C until further analysis. IGF‐1 and IL‐10 concentrations were measured using enzyme‐linked immunosorbent assay (ELISA) kits following the manufacturer′s protocols (Bioassay Technology Laboratory, Diagnostic Product Corp, BT LAB, China). Specifically, the IGF‐1 ELISA (E0103Hu) and IL‐10 ELISA (E0102Hu) kits were used. Absorbance readings were recorded using an ELISA microplate reader (Model 17539), and biomarker concentrations were determined against provided standards.

2.4. Statistical Analyses

Statistical analyses were conducted using IBM SPSS Statistics Version 20.0. Descriptive statistics were reported as the mean ± SD for continuous variables or as frequencies and percentages for categorical variables. Group comparisons between stunted and nonstunted children were performed using the chi‐square test for categorical variables (e.g., sex, exclusive breastfeeding, immunization status, nutritional intake, and infectious disease history) and the Mann–Whitney U test for continuous variables (e.g., age, IGF‐1, and IL‐10 levels). Statistical significance was set at p < 0.05.

2.5. Ethical Considerations

This study was approved by the Health Research Ethics Committee of the Faculty of Medicine, Universitas Airlangga, Surabaya (approval number 203/EC/KEPK/FKUA/2024).

3. Results

This study included 80 children between 24 and 60 months who met the inclusion criteria. The mean age of children in the stunted group was 38.52 ± 8.99 months, and the mean age of children in the normal group was 37.35 ± 10.63 months. No statistically significant difference in age was observed between the two groups (p = 0.473). Similarly, sex distribution was comparable across both groups (p = 0.451). The stunted group included 21 males (52.5%) and 19 females (47.5%), whereas the normal group consisted of 17 males (42.5%) and 23 females (57.5%).

The stunted group demonstrated lower average weight and height than their normal counterparts, with mean values of 10.56 ± 1.92 kg and 83.69 ± 6.74 cm, respectively, versus 14.18 ± 2.11 kg and 95.47 ± 6.20 cm, respectively, in the normal group.

Potential factors influencing IGF‐1 and IL‐10 levels were also examined, including history of exclusive breastfeeding, immunization status, dietary intake of carbohydrates and proteins, and infectious disease history. The results indicated no significant differences between the two groups for exclusive breastfeeding (p = 0.815), immunization history (p = 0.474), and protein intake (p = 0.314). However, among the infectious diseases considered, only acute respiratory infections showed a statistically significant difference between the groups (p = 0.000). In contrast, other illnesses such as pneumonia (p = 0.474), tuberculosis (p = 0.314), and diarrhea (p = 0.348) did not exhibit significant differences.

A significant disparity was observed in IL‐10 levels, with lower averages detected in the stunted group than the normal group (317.841 ± 214.934 vs. 543.605 ± 416.837; p = 0.006). Similarly, IGF‐1 levels in stunted children were significantly reduced compared with those in the normal group (11.963 ± 8.658 vs. 18.000 ± 15.238; p = 0.030) (see Table 1).

Table 1.

Respondent characteristics.

Characteristics Stunting group (n = 40) Normal group (n = 40) p
Age (months) 38.52 ± 8.99 37.35 ± 10.63 0.473
Gender
 Man 21 (52.5%) 17 (42.5%) 0.451
 Woman 19 (47.5%) 23 (57.5%)
Body weight (kg) 10.56 ± 1.92 14.18 ± 2.11 0.000b ∗
Height (cm) 83.69 ± 6.74 95.47 ± 6.20 0.000b ∗
Exclusive breastfeeding
 Yes 25 (62.5%) 27 (67.5%) 0.815
 No 15 (37.5%) 13 (32.5%)
Immunization
 Complete 38 (95.0%) 40 (100.0%) 0.474
 Incomplete 2 (5.0%) 0
Protein intake
 Adequate 39 (97.5%) 40 (100%) 0.314
 Inadequate 1 (2.5%) 0
Carbohydrate intake
 Adequate 22 (55.0%) 38 (95.0%) 0.000a ∗
 Inadequate 18 (45.0%) 2 (5.0%)
History of infectious diseases
Upper respiratory tract infection
 Yes 30 (75.0%) 10 (25.0%) 0.000a ∗
 No 10 (25.0%) 30 (75.0%)
Pneumonia
 Yes 2 (5.0%) 0 0.474
 No 38 (95.0%) 40 (100.0%)
Tuberculosis
 Yes
 No
Diarrhea
 Yes 8 (20.0%) 4 (10.0%) 0.348
 No 32 (80.0%) 36 (90.0%)
IL‐10 (pg/mL) 317,841 ± 214,934 543,605 ± 416,837 0.006  ∗ b
IGF‐1 (ng/mL) 11,963 ± 8658 18,000 ± 15,238 0.030  ∗ b

Note: mean ± SD. The italic values indicate statistically significant differences (p < 0.05).

Abbreviation: SD = standard deviation.

aChi‐square test.

bWhitney U test.

 ∗ p < 0.05.

Table 2 shows a statistically significant association between IGF‐1 and IL‐10 levels and the likelihood of stunting among children aged 24–60 months. Logistic regression analysis revealed that IGF‐1 levels were significantly associated with stunting (p = 0.032), with an odds ratio (OR) of 1.049 and a 95% confidence interval (CI) in the range of 1.004–1.069. This suggested that for every one‐unit (nanograms per milliliter) increase in IGF‐1, the odds of a child being stunted increase by approximately 4.9%, assuming all other variables remain constant.

Table 2.

Logistic regression of IGF‐1 and IL‐10 with stunting.

Variables p value OR 95% CI
Lower Upper
IGF‐1 (ng/mL) 0.032 1.049 1.004 1.069
IL‐10 (ng/mL) 0.010 1.002 1.001 1.004

Abbreviations: CI = confidence interval; OR = odds ratio.

Similarly, IL‐10 levels also demonstrated a statistically significant relationship with stunting (p = 0.010), with an OR of 1.002 and a 95% CI in the range of 1.001–1.004. Although the OR is modest, it implied that even small increases in IL‐10 concentrations are associated with higher odds of stunting. The narrow CIs for both biomarkers emphasized estimate precision.

Collectively, these findings suggested that elevated IGF‐1 and IL‐10 levels are positively associated with stunting risk, contrary to common expectations for IGF‐1. This warrants further investigation into the complex biological and environmental mechanisms underlying these associations.

4. Discussion

Stunting is a major global health issue, affecting approximately 149 million children under five, particularly prevalent in low‐ and middle‐income countries [37, 38]. The condition results from chronic malnutrition and frequent infections during the critical first 1000 days of life, leading to impaired physical growth, cognitive deficits, and increased susceptibility to chronic diseases later in life [39, 40]. Despite various maternal and child health strategies aimed at its reduction, stunting prevalence remains high with notable socioeconomic disparities across different groups [41, 42]. The long‐term impacts of stunting include reduced cognition, motor development, economic productivity, and increased morbidity and mortality rates, reinforcing poverty and socioeconomic decline [39, 43]. Effective reduction requires comprehensive, multisectoral strategies targeting maternal and child nutrition, infection prevention, and socioeconomic support [40, 44].

Thus, this study highlights the roles of IGF‐1 and IL‐10 in stunting. Our findings indicated that hormonal and immunological factors contribute to growth impairments in children, highlighting stunting′s multifactorial nature.

Consistent with prior research, this study showed significantly lower IGF‐1 levels in stunted children than in their nonstunted peers (11.963 ± 8.658 vs. 18.000 ± 15.238; p = 0.030). IGF‐1 is a critical growth factor, and its deficiency is linked to impaired growth and development in children. Stunted children often have considerably IGF‐1 lower levels than their nonstunted peers [31, 45]. This hormone promotes linear growth, and its deficiency may result from various factors, including poor nutrition and chronic infections [31, 45]. For example, systemic inflammation in early infancy can suppress the growth hormone‐IGF axis, leading to stunting [45]. Additionally, interventions aimed at increasing IGF‐1 levels, such as vitamin D supplementation, improve growth outcomes in children with idiopathic short stature [46]. Therefore, maintaining adequate IGF‐1 levels is crucial for preventing stunting, particularly in children aged 24–60 months who are at a critical stage of growth and development.

Moreover, high IL‐10, an anti‐inflammatory cytokine, has also been implicated in increased stunting, particularly in children with upper respiratory tract infections (URTIs). IL‐10 regulates immune responses and limits inflammation [47, 48]. However, elevated IL‐10 levels during infections can increase susceptibility to infections and impair growth [47, 48]. For example, children with recurrent URTIs and high IL‐10 levels may experience more severe infections, negatively impacting growth [47, 48]. Moreover, high IL‐10 levels during respiratory infections are associated with conditions such as bronchiolitis, further hindering growth in children [47, 49]. Thus, although IL‐10 controls inflammation, its elevation in frequent infections may contribute to stunting.

The interplay among nutritional intake, infections, and growth is evident in the roles of IGF‐1 and IL‐10. Poor nutritional intake, particularly inadequate carbohydrate consumption, can lead to low IGF‐1 levels, increasing stunting risk [31, 45]. Concurrently, frequent infections, such as URTIs, elevate IL‐10 levels, exacerbating growth impairment risk [47, 48]. This dual burden of malnutrition and infections creates a vicious cycle that hinders optimal growth and development in children. Interventions targeting both nutritional support and infection control are crucial to breaking this cycle and promoting healthy growth.

Low IGF‐1 levels have been consistently associated with stunting in children. Several studies confirm IGF‐1′s crucial role in growth and development. For example, children with transfusion‐dependent thalassemia and low IGF‐1 levels are more likely to be stunted compared with those with higher IGF‐1 levels [50]. Similarly, idiopathic short stature in children has been linked to low IGF‐1 levels, which improve after Vitamin D supplementation [46]. This suggests that nutritional interventions targeting IGF‐1 levels may help mitigate stunting. Furthermore, stunted children have lower IGF‐1 levels than their nonstunted counterparts, reinforcing the importance of IGF‐1 in linear growth [31, 33, 51–56]. IGF‐1 correlates with growth parameters such as height and weight, highlighting its potential as a biomarker for stunting [53, 55, 56]. Therefore, addressing IGF‐1 deficiency via dietary or medical interventions could be a strategic approach to reduce stunting prevalence.

High IL‐10 levels have been linked to stunting, particularly in children with URTIs. IL‐10 modulates immune responses and is elevated in stunted children [33, 57–63]. For example, children with infection‐related growth failure show changes in IL‐10 levels after nutritional interventions [62], suggesting its role in immune dysregulation and stunting. Additionally, systemic inflammation marked by elevated IL‐10 is associated with stunting [33, 61, 63]. High IL‐10 levels in stunted children with infections indicate a complex interplay between immune function and growth impairment. Moreover, the relationship of IL‐10 with other inflammatory markers such as IL‐6 and TNF‐α highlights the importance of immune responses in stunting [33, 57–63]. Therefore, interventions targeting IL‐10 modulation and immune function may help address infection‐associated stunting.

Therefore, addressing both IGF‐1 deficiency and immune dysregulation, particularly elevated IL‐10 levels, may be critical for reducing stunting prevalence in children. Nutritional interventions to increase IGF‐1 levels and strategies to modulate immune responses may offer promising avenues for improving growth outcomes in affected populations. The association of low IGF‐1 and high IL‐10 with increased stunting in children has considerable public health implications. Low IGF‐1 levels, linked to inadequate carbohydrate intake and primarily affecting children aged 24–60 months, suggest the need for nutritional interventions to improve carbohydrate intake and overall diet quality in stunting prevention [31, 45, 64]. Meanwhile, high IL‐10 levels, associated with URTIs, indicate that reducing infection incidence via improved sanitation, vaccination, and healthcare access could mitigate stunting [65, 66]. Therefore, public health strategies should include nutritional programs ensuring adequate carbohydrate intake and balanced nutrition for children, especially those aged 24–60 months. Strategies should also enhance healthcare access to prevent and treat infections and improve sanitation and hygiene practices to reduce infection‐related inflammation. Education and awareness campaigns should target caregivers and communities on the importance of nutrition and infection prevention. These integrated strategies, if effectively implemented, could substantially reduce stunting prevalence and improve long‐term health outcomes for children in affected regions.

This study had limitations, including a small sample size that may limit generalizability. Future research should elucidate the relationship among IGF‐1, IL‐10, and stunting. Longitudinal studies are essential to track IGF‐1 and IL‐10 level changes over time and their direct impact on growth patterns in children [31, 33]. Intervention trials should explore the effects of administering IGF‐1 and IL‐10, separately or combined, on stunting and growth outcomes [33, 67]. Additionally, research should investigate the role of other cytokines and growth factors, such as IL‐6, TNF‐α, and IGFBPs, that interact with the IGF system and influence growth [68–70]. Understanding these interactions may elucidate the biological mechanisms underlying stunting and identify potential therapeutic targets.

5. Conclusion

This study highlights the roles of hormonal and immunological factors in stunting among children, particularly the association among low IGF‐1, high IL‐10, and poor growth outcomes. Low IGF‐1 levels, linked to inadequate carbohydrate intake in children aged 24–60 months, highlight the need for early nutritional interventions in mitigating stunting during the critical developmental period. Concurrently, high IL‐10 levels, associated with frequent URTIs, reflect immune dysregulation that may further hinder growth, emphasizing the impact of infection‐related inflammation on child development.

These findings affirm the multifactorial nature of stunting and highlight the need for integrated public health strategies addressing both nutritional deficiencies and infection control. Effective prevention requires nutritional programs aimed at improving diet quality and macronutrient adequacy, particularly carbohydrate intake, alongside improved access to healthcare, sanitation, and immunization services. Despite contributing evidence on biological stunting risk factors, the study′s small sample size highlights the need for further longitudinal and interventional research. Future studies should explore broader immunological and endocrine profiles to better understand complex stunting mechanisms and inform more targeted, evidence‐based interventions.

Author Contributions

Conceptualization: P.K.S. and I. Methodology and data analysis: N.A.W. and S. Writing—preparation of initial draft: P.K.S. Writing—review and validation: I., N.A.W., and S.

Funding

No funding was received for this manuscript.

Ethics Statement

This research was approved by the Health Research Ethics Committee of the Faculty of Medicine, Airlangga University, Surabaya, with Number 203/EC/KEPK/FKUA/2024.

Consent

Written informed consent was obtained from the parents or legal guardians of all pediatric participants prior to enrollment in the study.

Conflicts of Interest

The authors declare no conflicts of interest.

Acknowledgments

We thank the Lembaga Pengolah Dana Pendidikan (LPDP) for providing a scholarship for further studies. We also thank Airlangga University, Manggarai regency government, heads and staff of the Manggarai Regency Health Office and Ruteng City Health Centre, the data collection team, and research respondents. The authors declare that no artificial intelligence (AI) tools or AI‐assisted technologies were used in the generation, writing, and data analysis of this manuscript.

Senudin, Putriatri Krimasusini , Irwanto, Widjaja, Nur Aisiyah , Sulistiawati, The Role of IGF‐1 and IL‐10 in Childhood Stunting: Evidence From Indonesia, The Scientific World Journal, 2026, 1029295, 8 pages, 2026. 10.1155/tswj/1029295

Academic Editor: Deepali Deepali

Contributor Information

Irwanto, Email: irwanto@fk.unair.ac.id.

Deepali Deepali, Email: dedeepali@wiley.com.

Data Availability Statement

All data generated or analyzed during this study are included in this published article. The datasets supporting the conclusions of this research are presented within the tables provided in the manuscript. No additional datasets were used or created, and the authors confirm that the data are sufficient to replicate the findings reported herein.

References

  • 1. Hasanah I. and Susanti H., Does Water and Sanitation Effects on Children′s Physical Development? Evidence from Indonesia Family life Survey (IFLS) 2014, E3S Web of Conferences. (2018) 74, 09007, 10.1051/e3sconf/20187409007. [DOI] [Google Scholar]
  • 2. Hurun A., Yuni S. A., Ilya K., Nurul P., Sulastyawati S., Supono S., and Ronal S. A., Determinants of Stunting Risk Factors for Toddlers Aged 6-36 Months in the Malang Regency, Indonesia, African Journal of Food, Agriculture, Nutrition and Development. (2024) 24, no. 11, 24912–24930, 10.18697/ajfand.136.24575. [DOI] [Google Scholar]
  • 3. Hanifah L., Wulansari R., Meiandayati R., and Achadi E. L., Stunting Trends and Associated Factors Among Indonesian Children Aged 0-23 Months: Evidence From Indonesian Family Life Surveys (IFLS) 2000, 2007 and 2014, Malaysian Journal of Nutrition. (2018) 24, 315–323. [Google Scholar]
  • 4. Cendana P. and Kim S. Y., Maternal Factors and Breastfeeding Practices Associated With Stunting Among Indonesian Children Aged 6 to 23 Months, Asia Pacific Journal of Public Health. (2025) 37, no. 4, 402–410, 10.1177/10105395251337970, 40337915. [DOI] [PubMed] [Google Scholar]
  • 5. Kurniawati E. D., Novembriani R. P., Kusumasari H. A. R., Dewi N. K., Gita V. M., Hakim A. Y. A., and Suprobo N. R., Social and Environmental Factors Associated With Stunting in Batu City, East Java, Indonesia, Southeast Asian Journal of Tropical Medicine and Public Health. (2023) 54, no. 2, 406–415, 10.61251/sajtmph.v54i2.1049. [DOI] [Google Scholar]
  • 6. Laksono A. D., Izza N., Trisnani T., Paramita A., Sholikhah H. H., Andarwati P., Rosyadi K., and Wulandari R. D., Determination of Appropriate Policy Targets to Reduce the Prevalence of Stunting in Children Under Five Years of Age in Urban-Poor Communities in Indonesia: A Secondary Data Analysis of the 2022 Indonesian National Nutritional Status Survey, BMJ Open. (2024) 14, no. 9, e089531, 10.1136/bmjopen-2024-089531, 39306355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Firdaus N. A., Mulyana R. R., Munthalib M. A. M., Winarni S., and Tantular B., Negative Binomial Regression Analysis of Stunting Determinants in Toddlers: Achieving Optimal Nutrition in West Java, Indonesia, Communications in Mathematical Biology and Neuroscience. (2024) 2024, 10.28919/cmbn/8929. [DOI] [Google Scholar]
  • 8. Sarman and Darmin, Determinan Epidemiologis Kejadian Stunting pada Anak Usia 6-12 Bulan di Kota Kotamobagu, Media Publikasi Promosi Kesehatan Indonesia. (2021) 4, no. 3, 392–400, 10.56338/mppki.v4i3.1616. [DOI] [Google Scholar]
  • 9. Siramaneerat I., Astutik E., Agushybana F., Bhumkittipich P., and Lamprom W., Examining Determinants of Stunting in Urban and Rural Indonesian: A Multilevel Analysis Using the Population-Based Indonesian Family Life Survey (IFLS), BMC Public Health. (2024) 24, no. 1, 10.1186/s12889-024-18824-z, 38778326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Dewi P., Khomsan A., and Dwiriani C., Household Food Security and Stunting of Under-Five Children in Indonesia: A Systematic Review, Media Gizi Indonesia. (2024) 19, no. 1, 17–27, 10.20473/mgi.v19i1.17-27. [DOI] [Google Scholar]
  • 11. Sanggelorang Y., Sebayang F., Malonda N., and Rumayar A., Insights Into Childhood Malnutrition: An Analysis on Food Vulnerability and Stunting Using 2021 Indonesian Nutritional Status Survey Data, Media Gizi Indonesia. (2024) 19, no. 3, 282–290, 10.20473/mgi.v19i3.282-290. [DOI] [Google Scholar]
  • 12. Thompson A. L., Greater Male Vulnerability to Stunting? Evaluating Sex Differences in Growth, Pathways and Biocultural Mechanisms, Annals of Human Biology. (2021) 48, no. 6, 466–473, 10.1080/03014460.2021.1998622, 35105202. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Ulijaszek S. J., Muehlenbein M. P., Variation in Human Growth Patterns due to Environmental Factors, Human Evolutionary Biology, 2010, Cambridge University Press, 396–410, 10.1017/CBO9780511781193.029. [DOI] [Google Scholar]
  • 14. Wei C. and Gregory J., Physiology of Normal Growth, Paediatrics and Child Health. (2009) 19, no. 5, 236–240, 10.1016/j.paed.2009.02.007. [DOI] [Google Scholar]
  • 15. Luoma J., Adubra L., Ashorn P., Ashorn U., Bendabenda J., Dewey K. G., Hallamaa L., Coghlan R., Horton W. A., Hyöty H., Kortekangas E., Lehto K. M., Maleta K., Matchado A., Nkhoma M., Oikarinen S., Parkkila S., Purmonen S., and Fan Y. M., Association Between Asymptomatic Infections and Linear Growth in 18-24-Month-Old Malawian Children, Maternal & Child Nutrition. (2023) 19, no. 1, e13417, 10.1111/mcn.13417, 36111423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Majchrzak-Baczmańska D. and Malinowski A., Does IGF-1 Play a Role in the Biology of Endometrial Cancer?, Ginekologia Polska. (2016) 87, no. 8, 598–604, 10.5603/gp.2016.0052, 27629137. [DOI] [PubMed] [Google Scholar]
  • 17. Yakar S., Courtland H. W., and Clemmons D., IGF-1 and Bone: New Discoveries From Mouse Models, Journal of Bone and Mineral Research. (2010) 25, no. 12, 2543–2552, 10.1002/jbmr.234, 20836088. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Yakar S. and Adamo M. L., Insulin-Like Growth Factor 1 Physiology: Lessons From Mouse Models, Endocrinology and Metabolism Clinics of North America. (2012) 41, no. 2, 231–247, 10.1016/j.ecl.2012.04.008, 22682628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Li B. W., Feng L. L., and Tian Z. J., Research Progress of the Role of IGF-1 in Metabolic Diseases and the Effect of Exercise Intervention, Sheng Li Xue Bao. (2021) 73, no. 2, 342–352, 33903895. [PubMed] [Google Scholar]
  • 20. Yamahara K., Yamamoto N., Kuwata F., and Nakagawa T., Neuroprotective Role of Insulin-Like Growth Factor 1 in Auditory and Other Nervous Systems, Histology and Histopathology. (2022) 37, no. 7, 609–619, 10.14670/hh-18-437, 35170014. [DOI] [PubMed] [Google Scholar]
  • 21. Bailes J. and Soloviev M., Insulin-Like Growth Factor-1 (IGF-1) and Its Monitoring in Medical Diagnostic and in Sports, Biomolecules. (2021) 11, no. 2, 10.3390/biom11020217, 33557137. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Harmatina O., Insulin-Like Growth Factor 1 Under Conditions of the Brain Vascular Diseases, Fiziolohichnyĭ Zhurnal. (2016) 62, no. 4, 95–102, 10.15407/fz62.04.095, 29975480. [DOI] [PubMed] [Google Scholar]
  • 23. Martín-Estal I., de la Garza R. G., and Castilla-Cortázar I., Intrauterine Growth Retardation (IUGR) as a Novel Condition of Insulin-Like Growth Factor-1 (IGF-1) Deficiency, Reviews of Physiology, Biochemistry and Pharmacology. (2016) 170, 1–35, 10.1007/112_2015_5001, 26634242. [DOI] [PubMed] [Google Scholar]
  • 24. Carlini V., Noonan D. M., Abdalalem E., Goletti D., Sansone C., Calabrone L., and Albini A., The Multifaceted Nature of IL-10: Regulation, Role in Immunological Homeostasis and Its Relevance to Cancer, COVID-19 and Post-COVID Conditions, Frontiers in Immunology. (2023) 14, 10.3389/fimmu.2023.1161067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Mingomataj E. C. and Bakiri A. H., Regulator Versus Effector Paradigm: Interleukin-10 as Indicator of the Switching Response, Clinical Reviews in Allergy & Immunology. (2016) 50, no. 1, 97–113, 10.1007/s12016-015-8514-7, 26450621. [DOI] [PubMed] [Google Scholar]
  • 26. Standiford T. J. and Deng J. C., INTERLEUKINS | IL-10, 2006, Academic Press, 10.1016/B0-12-370879-6/00480-4. [DOI] [Google Scholar]
  • 27. Cyktor J. C. and Turner J., Interleukin-10 and Immunity Against Prokaryotic and Eukaryotic Intracellular Pathogens, Infection and Immunity. (2011) 79, no. 8, 2964–2973, 10.1128/iai.00047-11, 21576331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Mocellin S., Marincola F., Rossi C. R., Nitti D., and Lise M., The Multifaceted Relationship Between IL-10 and Adaptive Immunity: Putting Together the Pieces of a Puzzle, Cytokine & Growth Factor Reviews. (2004) 15, no. 1, 61–76, 10.1016/j.cytogfr.2003.11.001, 14746814. [DOI] [PubMed] [Google Scholar]
  • 29. Ding Y., Fu S., Zamarin D., and Bromberg J., Interleukin-10, The Cytokine Handbook, 2003, 4th edition, Academic Press, 603–625, 10.1016/B978-012689663-3/50029-6. [DOI] [Google Scholar]
  • 30. Saxena A., Khosraviani S., Noel S., Mohan D., Donner T., and Hamad A. R., Interleukin-10 Paradox: A Potent Immunoregulatory Cytokine That Has Been Difficult to Harness for Immunotherapy, Cytokine. (2015) 74, no. 1, 27–34, 10.1016/j.cyto.2014.10.031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Nuryandari S., Widjaja N. A., and Husada D., TNF-α and IGF-1 Levels in Stunting Children With Chronic Infection, Acta Biomedica de l′Ateneo Parmense. (2024) 95, no. 6, e2024182, 10.23750/abm.v95i6.16382. [DOI] [Google Scholar]
  • 32. Afandi A., Suhartono S., Budiyono B., Margawati A., and Kartini A., High Blood Lead Levels as a Risk Factor of Stunting: A Study of Children in Agricultural Areas, Journal of Environmental Health. (2025) 17, no. 1, 45–53, 10.20473/jkl.v17i1.2025.45-53. [DOI] [Google Scholar]
  • 33. Hossain M., Nahar B., Haque M. A., Mondal D., Mahfuz M., Naila N. N., Gazi M. A., Hasan M. M., Haque N. M. S., Haque R., Arndt M. B., Walson J. L., and Ahmed T., Serum Adipokines, Growth Factors, and Cytokines Are Independently Associated with Stunting in Bangladeshi Children, Nutrients. (2019) 11, no. 8, 10.3390/nu11081827, 31394828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Ahlbom A., Modern Epidemiology, 4th Edition. TL Lash, TJ VanderWeele, S Haneuse, KJ Rothman. Wolters Kluwer, 2021, European Journal of Epidemiology. (2021) 36, 767–768, 10.1007/s10654-021-00778-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Schlesselman J. J., Case-Control Studies: Design, Conduct, Analysis, 1982, 2, Oxford University Press. [Google Scholar]
  • 36. Szklo M., Epidemiology: Beyond the Basics, American Journal of Epidemiology. (2001) 153, no. 8, 10.1093/aje/153.8.821. [DOI] [Google Scholar]
  • 37. Ay K. M., Saraç M., Grede N., Çavlin B. A., and Koç İ., Impact of Financial Assistance on Stunting: Syrian Refugee Children Under 5 in Türkiye, Journal of Biosocial Science. (2024) 56, no. 4, 639–665, 10.1017/s0021932024000038, 38356431. [DOI] [PubMed] [Google Scholar]
  • 38. Kassaw A., Kassie Y. T., Kefale D., Azmeraw M., Arage G., Asferi W. N., Munye T., Demis S., Simegn A., Agimas M. C., and Zeleke S., Pooled Prevalence and Its Determinants of Stunting Among Children During Their Critical Period in Ethiopia: A Systematic Review and Meta-Analysis, PLoS One. (2023) 18, no. 11, e0294689, 10.1371/journal.pone.0294689, 38019780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Elba F., Hassan H. C., Umar N. S., and Hilmanto D., The Effect of Stunting on Nutrition and Fine Motor Development in Children: A Literature Review, Malaysian Journal of Medicine & Health Sciences. (2024) 20, 215–219. [Google Scholar]
  • 40. Mulyani A. T., Khairinisa M. A., Khatib A., and Chaerunisaa A. Y., Understanding Stunting: Impact, Causes, and Strategy to Accelerate Stunting Reduction-A Narrative Review, Nutrients. (2025) 17, no. 9, 10.3390/nu17091493, 40362802. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Musheiguza E., Mahande M. J., Malamala E., Msuya S. E., Charles F., Philemon R., and Mgongo M., Inequalities in Stunting Among Under-Five Children in Tanzania: Decomposing the Concentration Indexes Using Demographic Health Surveys From 2004/5 to 2015/6, International Journal for Equity in Health. (2021) 20, no. 1, 10.1186/s12939-021-01389-3, 33485344. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Ramlan P., Sukri P., Abdullah M. T., Ibrahim M. A., Ahmad J., and Adri K., A Systematic Review of Maternal and Child Health Policies in Addressing Stunting: Trends and Challenges, Journal of Public Health and Pharmacy. (2025) 5, no. 1, 119–130, 10.56338/jphp.v5i1.6001. [DOI] [Google Scholar]
  • 43. Vonaesch P., Tondeur L., Breurec S., Bata P., Nguyen L. B. L., Frank T., Farra A., Rafaï C., Giles-Vernick T., Gody J. C., Gouandjika-Vasilache I., Sansonetti P., and Vray M., Factors Associated With Stunting in Healthy Children Aged 5 Years and Less Living in Bangui (RCA), PLoS One. (2017) 12, no. 8, e0182363, 10.1371/journal.pone.0182363, 28796794. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Montenegro C., Gomez G., Hincapie O., Dvoretskiy S., DeWitt T., Gracia D., and Misas J., The Pediatric Global Burden of Stunting: Focus on Latin America, Lifestyle Medicine. (2022) 3, no. 3, 10.1002/lim2.67. [DOI] [Google Scholar]
  • 45. Syed S., Manji K. P., McDonald C. M., Kisenge R., Aboud S., Sudfeld C., Locks L., Liu E., Fawzi W. W., and Duggan C. P., Biomarkers of Systemic Inflammation and Growth in Early Infancy Are Associated With Stunting in Young Tanzanian Children, Nutrients. (2018) 10, no. 9, 10.3390/nu10091158, 30149537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Hashemi-Dehkordi E., Attari A., Mostofizadeh N., Hashemipour M., and Rashidi A., The Effect of Vitamin D Supplementation on Serum Level of Insulin-Like Growth Factor 1 (IGF-1) in 5-10-Years-Old Children With Idiopathic Short Stature, Journal of Isfahan Medical School. (2022) 39, 10.22122/jims.v39i651.14553. [DOI] [Google Scholar]
  • 47. Sun J., Cardani A., Sharma A. K., Laubach V. E., Jack R. S., Müller W., and Braciale T. J., Autocrine Regulation of Pulmonary Inflammation by Effector T-Cell Derived IL-10 During Infection With Respiratory Syncytial Virus, PLoS Pathogens. (2011) 7, no. 8, e1002173, 10.1371/journal.ppat.1002173, 21829368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Zhang G., Rowe J., Kusel M., Bosco A., McKenna K., de Klerk N., Sly P. D., and Holt P. G., Interleukin-10/Interleukin-5 Responses at Birth Predict Risk for Respiratory Infections in Children With Atopic Family History, American Journal of Respiratory and Critical Care Medicine. (2009) 179, no. 3, 205–211, 10.1164/rccm.200803-438OC, 18996999. [DOI] [PubMed] [Google Scholar]
  • 49. Sun L., Cornell T. T., LeVine A., Berlin A. A., Hinkovska-Galcheva V., Fleszar A. J., Lukacs N. W., and Shanley T. P., Dual Role of Interleukin-10 in the Regulation of Respiratory Syncitial Virus (RSV)-Induced Lung Inflammation, Clinical and Experimental Immunology. (2013) 172, no. 2, 263–279, 10.1111/cei.12059, 23574323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Pratiwi I. G. A. P. E., Irawan R., Ugrasena I. D. G., Faizi M., and Vitamin D., Vitamin D, Insulin-Like Growth Factor-1, and Stunting in Children With Transfusion-Dependent Thalassemia, Paediatrica Indonesiana. (2022) 62, no. 2, 98–103, 10.14238/pi62.2.2022.98-103. [DOI] [Google Scholar]
  • 51. Anwar G. M., Kandeel W. A., Mandour I. A., and Kamal A. N., Study of Primary IGF-1 Deficiency in Egyptian Children With Idiopathic Short Stature, Hormone Research in Paediatrics. (2013) 79, no. 5, 277–282, 10.1159/000350824, 23635650. [DOI] [PubMed] [Google Scholar]
  • 52. Kota S. K., Jammula S., Gayatri K., and Kota S. K., Evaluation of Insulin-Like Growth Factor-1 and Its Impact on Growth Hormone Therapy in Growth Hormone-Deficient Indian Children, International Journal of Endocrinology and Metabolism. (2011) 9, no. 3, 373–378, 10.5812/Kowsar.1726913X.1800. [DOI] [Google Scholar]
  • 53. Ma Y. and Wang J., Study on Serum Insulin-Like Growth Factor-1 Level and Its Relationship With Growth in Children With Short Stature, Chinese Journal of Primary Medicine and Pharmacy. (2020) 27, no. 19, 2319–2322, 10.3760/cma.j.issn.1008-6706.2020.19.004. [DOI] [Google Scholar]
  • 54. Mamabolo L., Alberts M., Levitt N., Waal H., and Steyn N., Association Between Insulin-Like Growth Factor-1, Insulin-Like Growth Factor-Binding Protein-1 and Leptin Levels With Nutritional Status in 1–3-Year-Old children, residing in the central region of Limpopo Province, South Africa, British Journal of Nutrition. (2007) 98, no. 4, 762–769, 10.1017/S0007114507742708, 17640414. [DOI] [PubMed] [Google Scholar]
  • 55. Shiva S., Samadi M., Shateri M., and Habibzadeh A., Growth Parameters and Insulin Like Growth Factor-1: Comparison Between Cyanotic and Acyanotic Congenital Heart Disease and Normal Children, Life Science Journal. (2013) 10, no. 4, 577–581. [Google Scholar]
  • 56. Usman M., Haroon Z. H., Khan M. Q. A., Anwar M., Younas M., and Roghani M., Effect of Iron Deficiency Anemia on Insulin Like- Growth Factor-1 Level Among Children: A Cross-Sectional Study, Pakistan Armed Forces Medical Journal. (2024) 74, no. Supplement 2, S263–S267, 10.51253/pafmj.v74iSUPPL-2.10094. [DOI] [Google Scholar]
  • 57. Aguilar-Bañuelos J. A., Bernal-Hernández Y. Y., Medina-Díaz I. M., Ruiz-Arias M. A., Herrera-Moreno J. F., Barrón-Vivanco B. S., González-Arias C. A., Agraz-Cibrián J. M., Zambrano-Zaragoza J. F., Verdín-Betancourt F. A., Ruiz N. P., Flores-Alfaro E., and Rojas-García A. E., Environmental Exposure to Pesticides Is Associated With Oxidative Stress, Oxidative DNA Damage, and Elevated Interleukin-8 in a Child Population, Environmental Toxicology and Pharmacology. (2025) 114, 104656, 10.1016/j.etap.2025.104656, 39978743. [DOI] [PubMed] [Google Scholar]
  • 58. Brubaker J., Zhang X., Bourgeois A. L., Harro C., Sack D. A., and Chakraborty S., Intestinal and Systemic Inflammation Induced by Symptomatic and Asymptomatic Enterotoxigenic E. coli Infection and Impact on Intestinal Colonization and ETEC Specific Immune Responses in an Experimental Human Challenge Model, Gut Microbes. (2021) 13, no. 1, 1891852, 10.1080/19490976.2021.1891852. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. Sheikh N. I., Kamal M. M., Rahmatullah R., Sadi S., and Ahsan M., Serum Zinc Levels in Children With Acute Respiratory Infections: Association With Sociodemography and Nutritional Status, Clinical Nutrition Experimental. (2018) 22, 11–18, 10.1016/j.yclnex.2018.09.002. [DOI] [Google Scholar]
  • 60. Jiang N. M., Tofail F., Moonah S. N., Scharf R. J., Taniuchi M., Ma J. Z., Hamadani J. D., Gurley E. S., Houpt E. R., Azziz-Baumgartner E., and Haque R., Febrile Illness and Pro-Inflammatory Cytokines Are Associated With Lower Neurodevelopmental Scores in Bangladeshi Infants Living in Poverty, BMC Pediatrics. (2014) 14, no. 1, 10.1186/1471-2431-14-50, 24548288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Mutasa K., Tome J., Rukobo S., Govha M., Mushayanembwa P., Matimba F. S., Chiorera C. K., Majo F. D., Tavengwa N. V., Mutasa B., Chasekwa B., Humphrey J. H., Ntozini R., Prendergast A. J., and Bourke C. D., Stunting Status and Exposure to Infection and Inflammation in Early Life Shape Antibacterial Immune Cell Function Among Zimbabwean Children, Frontiers in Immunology. (2022) 13, no. 13, 899296, 10.3389/fimmu.2022.899296, 35769481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Widjaja N. A., Hamidah A., Purnomo M. T., and Ardianah E., Effect of Lactoferrin in Oral Nutrition Supplement (ONS) Towards IL-6 and IL-10 in Failure to Thrive Children With Infection, F1000Research. (2023) 12, 10.12688/f1000research.130176.3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Zambruni M., Ochoa T. J., Somasunderam A., Cabada M. M., Morales M. L., Mitreva M., Rosa B. A., Acosta G. J., Vigo N. I., Riveros M., Arango S., Durand D., Berends M. N., Melby P., and Utay N. S., Stunting Is Preceded by Intestinal Mucosal Damage and Microbiome Changes and Is Associated With Systemic Inflammation in a Cohort of Peruvian Infants, American Journal of Tropical Medicine and Hygiene. (2019) 101, no. 5, 1009–1017, 10.4269/ajtmh.18-0975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Prendergast A. J., Rukobo S., Chasekwa B., Mutasa K., Ntozini R., Mbuya M. N., Jones A., Moulton L. H., Stoltzfus R. J., and Humphrey J. H., Stunting Is Characterized by Chronic Inflammation in Zimbabwean Infants, PLoS One. (2014) 9, e86928, 10.1371/journal.pone.0086928. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Jones A. D., Rukobo S., Chasekwa B., Mutasa K., Ntozini R., Mbuya M. N., Stoltzfus R. J., Humphrey J. H., and Prendergast A. J., Acute Illness Is Associated With Suppression of the Growth Hormone Axis in Zimbabwean Infants, American Journal of Tropical Medicine and Hygiene. (2015) 92, 463–470, 10.4269/ajtmh.14-0448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66. Sapartini G., Wong G. W. K., Indrati A. R., Kartasasmita C. B., and Setiabudiawan B., The Association Between Vitamin D, Interleukin-4, and Interleukin-10 Levels and CD23+ Expression With Bronchial Asthma in Stunted Children, Biomedicines. (2023) 11, no. 9, 10.3390/biomedicines11092542, 37760982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Zhang L., Chen Y., Li C., Lin X., Cheng X., and Li T., Protective Effects of Combined Intervention With Adenovirus Vector Mediated IL-10 and IGF-1 Genes on Endogenous Islet β Cells in Nonobese Diabetes Mice With Onset of Type 1 Diabetes Mellitus, PLoS One. (2014) 9, no. 3, e92616, 10.1371/journal.pone.0092616, 24663217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68. Foltran F., Berchialla P., Bernasconi S., Grossi E., Gregori D., and Street M. E., A Systems Biology Approach: New Insights Into Fetal Growth Restriction Using Bayesian Networks, Journal of Biological Regulators and Homeostatic Agents. (2011) 25, no. 2, 269–277, 21880216. [PubMed] [Google Scholar]
  • 69. Street M. E., Grossi E., Volta C., Faleschini E., and Bernasconi S., Placental Determinants of Fetal Growth: Identification of Key Factors in the Insulin-Like Growth Factor and Cytokine Systems Using Artificial Neural Networks, BMC Pediatrics. (2008) 8, 10.1186/1471-2431-8-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Street M. E., Seghini P., Fieni S., Ziveri M. A., Volta C., Martorana D., Viani I., Gramellini D., and Bernasconi S., Changes in Interleukin-6 and IGF System and Their Relationships in Placenta and Cord Blood in Newborns With Fetal Growth Restriction Compared With Controls, European Journal of Endocrinology. (2006) 155, no. 4, 567–574, 10.1530/eje.1.02251, 16990656. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data generated or analyzed during this study are included in this published article. The datasets supporting the conclusions of this research are presented within the tables provided in the manuscript. No additional datasets were used or created, and the authors confirm that the data are sufficient to replicate the findings reported herein.


Articles from The Scientific World Journal are provided here courtesy of Wiley

RESOURCES