Polymorphisms of haptoglobin modify the relationship between dietary iron and the risk of gestational iron-deficiency anemia

Hu, Tzu-Yu; Mayasari, Noor Rohmah; Cheng, Tsai Mu; Bai, Chyi‐Huey; Chao, Jane C.-J.; Huang, Yali; Wang, Fan-Fen; Skalny, Anatoly V.; Tinkov, Alexey A.; Chang, Jinn-Ming

doi:10.1007/s00394-022-02987-9

Cited by 3 publications

(4 citation statements)

References 32 publications

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“…It is important to highlight that, among these studies, only the one conducted by Barabash and colleagues considered maternal dietary habits, specifically the adherence to the Mediterranean diet, underscoring the necessity for further investigations to comprehensively explore the impact of maternal dietary patterns on adverse pregnancy outcomes [28]. In addition, we noted that the diverse maternal genotypes respond to environmental factors during pregnancy, shaping the overall impact on the risk of other maternal pregnancy outcomes [31][32][33][34][35]68].…”

Section: Discussionmentioning

confidence: 93%

“…From a genetic point of view, some studies have indicated that the polymorphism of the haptoglobin (Hp) gene could potentially influence the interplay among dietary factors, nutrient metabolism, and the susceptibility to nutritional disorders [65,66]. With this purpose, Hu and collaborators sought to investigate whether SNPs of Hp-a scavenger of free hemoglobin (Hb) that im-pacts blood iron levels-could potentially alter the relationship between dietary iron intake and the risk of gestational IDA [31,67]. The research uncovered a significant interaction between genetic factors and dietary influences on serum ferritin levels among carriers of the Hp 1 and Hp 2 alleles.…”

Section: Other Maternal Outcomesmentioning

confidence: 99%

“…The research uncovered a significant interaction between genetic factors and dietary influences on serum ferritin levels among carriers of the Hp 1 and Hp 2 alleles. Pregnant women with the Hp 1-1 genotype who fell short of the recommended dietary allowance of iron or lacked a normal blood iron status, as well as those who did not utilize erythropoiesis-related total prenatal supplements, exhibited an elevated risk of developing gestational IDA [31].…”

Section: Other Maternal Outcomesmentioning

confidence: 99%

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Exploring Gene–Diet Interactions for Mother–Child Health: A Systematic Review of Epidemiological Studies

Favara,

Maugeri,

Magnano San Lio

et al. 2024

Nutrients

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Background: Maternal–child health suggests the critical impact of maternal nutrition during the pre-conception and gestational periods, with some genetic variants also playing a significant role. Our systematic review provides an overview of epidemiological studies exploring the interactions between genetic variants, maternal dietary habits, and neonatal and/or maternal pregnancy outcomes. Methods: From its inception until June 2023, we conducted a comprehensive literature search on PubMed, Embase, and Web of Science databases. Results: On a total of 29 epidemiological studies, 11 studies were conducted to explore the interplay between genetic variants and dietary factors, focusing on the risks associated with gestational diabetes mellitus, hypertensive disorders of pregnancy, recurrent spontaneous abortion, recurrent pregnancy loss, iron deficiency anemia, and gestational weight gain. Concerning neonatal outcomes, six studies investigated the interplay between genetic variants, dietary factors, and anthropometric measures, while eight studies delved into abnormal embryonic development, two studies focused on preterm birth, and two studies explored other neonatal outcomes. Conclusions: Deeply understanding gene–diet interactions could be useful in developing highly personalized approaches to maternal and child nutrition, as well as in exploring the potential implications in disease prevention and the promotion of the long-term well-being of both mothers and their offspring.

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Section: Discussionmentioning

confidence: 93%

Section: Other Maternal Outcomesmentioning

confidence: 99%

Section: Other Maternal Outcomesmentioning

confidence: 99%

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Exploring Gene–Diet Interactions for Mother–Child Health: A Systematic Review of Epidemiological Studies

Favara,

Maugeri,

Magnano San Lio

et al. 2024

Nutrients

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“…Research has shown that IL2 [452], IGFBP3 [70], ENPP1 [453], FASLG (Fas ligand) [454], FAP (fibroblast activation protein alpha) [455], IFNG (interferon gamma) [456], AKT3 [457], BMPR1A [458], SPRY1 [459], ANXA1 [460], PTCH1 [461], IGF2 [462], MMP9 [463], HP (haptoglobin) [464], GDF15 [465], KCNMA1 [466], ACE2 [467], TRPV4 [468], ADM (adrenomedullin) [469], CD274 [470], IGFBP2 [471], SOCS3 [472], TREM2 [473], CAV1 [474], PROK2 [475], MAPK14 [476] and CDKN1A [477] plays an important role in the pathogenesis of osteoporosis. Studies have revealed that IL2 [478], ENPP1 [479], FASLG (Fas ligand) [480], FAP (fibroblast activation protein alpha) [481], BIRC3 [482], IFNG (interferon gamma) [483], NCR1 [484], RAG1 [485], SEMA3A [486], TIGIT (T cell immunoreceptor with Ig and ITIM domains) [487], CD19 [488], TGFBR3 [489], IL5 [490], MMP9 [491], HP (haptoglobin) [492], GDF15 [493], ACE2 [494], DYSF (dysferlin) [495], IL27 [496], CAV1…”

Section: Identification Of Degsmentioning

confidence: 99%

Identification of differentially expressed genes and enriched pathways in inflammatory bowel disease using bioinformatics and next generation sequencing data analysis

Vastrad¹,

Vastrad²

2023

Preprint

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Inflammatory bowel disease (IBD) is the most common chronic digestive disorders and inflammation in the gastrointestinal tract globally that is characterized by episodes of abdominal pain, diarrhea, bloody stools and weight loss. However, the pathophysiologic mechanisms of IBD have not been thoroughly investigated. To explore potential targets for treatment of IBD, we reorganized and analyzed next generation sequencing (NGS) dataset (GSE186507). The R package DESeq2 tool was used to screen for differentially expressed genes (DEGs) between IBD and normal control samples. We used the g:Profiler database to perform Gene Ontology (GO) enrichment analysis and the REACTOME for pathway enrichment analysis. Protein-protein interaction (PPI) network construction and module analysis were performed to elucidate molecular mechanisms of DEGs and screen hub genes. Then miRNA-hub gene regulatory network and TF-hub gene regulatory network of these hub genes were visualized by Cytoscape. We also validated the identified hub genes via receiver operating characteristic (ROC) curve analysis. A total of 957 DEGs (478 up regulated genes and 479 down regulated genes) were detected in NGS dataset. And they were mainly enriched in the terms of multicellular organismal process, response to stimulus, GPCR ligand binding and immune system. Based on the data of PPI network, miRNA-hub gene regulatory network and TF-hub gene regulatory network the top hub genes were ranked, including IL7R, ERBB2, SMAD1, RPS26, TLE1, HNF4A, CDKN1A, SRPK1, H3C12 and SFN. In conclusion, the identified DEGs, particularly the hub genes, strengthen the understanding of the development and progression of IDB, and certain novel genes might be used as candidate target molecules to diagnose, monitor and treat IDB.

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Tragacanth gum-based nano-nutraceuticals synthesis by encapsulation of beetroot juice and Ocimum basilicum leaves for micronutrient deficient population

Singh,

Gopinath

2023

International Journal of Biological Macromolecules

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Polymorphisms of haptoglobin modify the relationship between dietary iron and the risk of gestational iron-deficiency anemia

Cited by 3 publications

References 32 publications

Exploring Gene–Diet Interactions for Mother–Child Health: A Systematic Review of Epidemiological Studies

Exploring Gene–Diet Interactions for Mother–Child Health: A Systematic Review of Epidemiological Studies

Identification of differentially expressed genes and enriched pathways in inflammatory bowel disease using bioinformatics and next generation sequencing data analysis

Tragacanth gum-based nano-nutraceuticals synthesis by encapsulation of beetroot juice and Ocimum basilicum leaves for micronutrient deficient population

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