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Record W4414760420 · doi:10.1101/2025.10.01.25337051

Association of Intestinal Alkaline Phosphatase and vitamin D level with enteric pathogens in children: results from the MAL-ED study in Bangladesh

2025· preprint· en· W4414760420 on OpenAlexfundno aff
Jafrin Ferdous, Md. Amran Gazi, Md. Zahidul Islam, Rahvia Alam Sthity, Ishita Mostafa, Mustafa Mahfuz, Tahmeed Ahmed

Bibliographic record

VenuemedRxiv · 2025
Typepreprint
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsnot available
FundersInternational Centre for Diarrhoeal Disease Research, BangladeshGovernment of CanadaBill and Melinda Gates Foundation
KeywordsVitamin D and neurologyAlkaline phosphatasevitamin D deficiencyVitaminSubclinical infection

Abstract

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Abstract Objective Intestinal Alkaline Phosphatase (IAP), expressed by enterocytes, maintains gut homeostasis by promoting commensal microbiota growth and limiting inflammation. Vitamin D strengthens intestinal barrier, and its deficiency is linked to various diseases. This study explores the relationship among IAP, vitamin D, and enteric pathogens in children. Methods In the MAL-ED (Etiology, Risk Factors, and Interactions of Enteric Infections and Malnutrition and the Consequences for Child Health and Development) study, 265 newborns were enrolled between February 2010 to February 2012, from Dhaka, Bangladesh. 15-month time point data was collected and analyses, where intestinal pathogens were identified by TaqMan Array Card assay, stool IAP and serum vitamin D level were determined by colorimetric assay and chemiluminescence immunoassay respectively. Multivariable linear regression was performed to determine the association between IAP, vitamin D and gut pathogens. A p-value of <0.05 is considered as significant. Results Median (IQR) of IAP was 55.41 (19.60, 155.41) U/µL. Bivariate analysis showed significant negative association of IAP with Campylobacter-pan Genome (p=0.047), Campylobacter jejuni (p=0.020) and Enterocytozoon bieneusi (p=0.023). Multivariable linear regression analysis revealed a significant and inverse association with the Adenovirus-pan genome (β= -2.00; 95% CI= -3.94, -0.07) and E. bieneusi (β= -3.03; 95% CI= -5.94, -0.11). Conclusion IAP was inversely and significantly associated with Adenovirus-pan genome and E. bieneusi, a less-explored enteric pathogen, while its relationship with vitamin D was positive but not statistically significant. These findings suggest that IAP may play a protective role against specific enteric pathogens. What is already known on this topic Intestinal Alkaline Phosphatase (IAP) plays a crucial role in maintenance of gut homeostasis by promoting beneficial microbiota and reducing intestinal inflammation. Vitamin D strengthens the intestinal barrier, and deficiency has been linked to increased risk of infections and various chronic diseases. While both IAP and vitamin D are important in gut health, evidence linking them with specific enteric pathogens in human, especially in children remains limited. What this study adds This study demonstrates that IAP is inversely and significantly associated with Adenovirus-pan genome and Enterocytozoon bieneusi , a less-explored pathogen in children. It shows that although not statistically significant, IAP levels were positively related to vitamin D These findings provide novel evidence that IAP may play a protective role against specific viral and protozoan enteric infections. How this study might affect research, practice or policy The results highlight IAP as a potential biomarker of intestinal defense and a candidate for future therapeutic or preventive interventions targeting childhood enteric infections. Insights into IAP–pathogen relationships could guide in the development of microbiome-based or nutritional strategies to reduce diarrheal disease burden, and support the inclusion of IAP as potential intervention in child health and nutrition research in low-resource settings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.266
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2025
Admission routes1
Has abstractyes

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