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Frequency of Sucrase Deficiency in Mucosal Biopsies

2012· article· en· W2024023781 on OpenAlexaboutno aff
Buford L. Nichols, Bridget Adams, C. Roach, Chang‐Xing Ma, Susan S. Baker

Bibliographic record

VenueJournal of Pediatric Gastroenterology and Nutrition · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDigestive system and related health
Canadian institutionsnot available
Fundersnot available
KeywordsDisaccharidaseSucraseLactaseMaltaseTrehalaseMaltoseLactoseEnterocyteMalabsorptionBrush borderDigestion (alchemy)MedicineBiochemistryInternal medicineEndocrinologyTrehaloseBiologySucroseEnzymeChemistrySmall intestine

Abstract

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Carbohydrates, sugars, and starches are an important source of energy, especially for the brain, which is completely dependent on glucose for energy (1). The US Department of Agriculture recommends that carbohydrates provide 45% to 65% of daily energy units (2) and the dietary reference intakes set the adequate intake at 60 to 130 g/day, depending on age (1). Cells can avail themselves of this energy source only when it is in the form of a simple sugar. Carbohydrates present to the gastrointestinal tract for digestion and absorption as monosaccharides, disaccharides, oligosaccharides, and polysaccharides. Initial digestion occurs via enzymes secreted into the lumen, but for absorption, carbohydrates must be in the form of a single sugar. The final digestion of disaccharidases occurs by enzymes located on the brush border of the enterocyte. The brush border contains the disaccharidases lactase, sucrase, isomaltase, and trehalase that hydrolyze lactose to glucose and galactose, sucrose to glucose and fructose, maltose to 2 glucose molecules, and trehalose to 2 glucose molecules. Deficiency in any of these enzymes results in malabsorption of the disaccharidase and can be associated with various symptoms. Deficiency can occur because of a congenital lack of the enzyme, injury to the enterocyte, or, in the case of lactase, as a normal process of aging. Congenital sucrose-isomaltase deficiency is an autosomal recessive disorder that is considered to be rare, occurring in 5% of the native populations of Greenland, Alaska, and Canada, but in only 0.02% in North Americans of European descent. Because symptoms vary from severe to mild, however, the incidence may be much higher. To assess how frequently sucrase-isomaltase deficiency is found in endoscopic biopsies, we reviewed the results of biopsies assayed for disaccharidases in a reference laboratory. METHODS Disaccharidase analyses were performed on small bowel biopsies according to the method of Dalqvist (3). Briefly, the tissue was homogenized and then the respective substrate, lactose, sucrose, maltose, or palatinose, was added. The amount of glucose produced was quantified with a Beckman DU 800 spectrophotometer (Beckman Coulter, Jersey City, NJ). Protein was quantified according to the method of Lowry et al (4). The log books of all of the disaccharidase analyses performed between January 1, 2006 and July 29, 2011, were reviewed. Information on the following categories was included in the data collection and entered into a Microsoft Excel database: date of birth, date of analysis, age at time of analysis, and results of assays for lactase, sucrose, maltase, and palatinase. Data were imported from the Microsoft Excel database into the SAS software package (SAS Institute, Cary, NC). Descriptive statistics were generated using frequency tables. RESULTS From January 1, 2006 through July 29, 2011, the laboratory received 30,334 samples. The samples varied widely in size of tissue and condition on arrival. Of those samples, 18 were insufficient or were received in a compromised state, so the assay could not be performed. For 1191 of the 30,314 samples, either a lactase-only level was ordered or the quantity was not sufficient to perform the other disaccharidase assays. Of the remaining samples, there was adequate tissue to perform the sucrase, maltase, and palatinase assays and protein level in 27,875 (Fig. 1). The age or date of birth was not provided for 41 samples.FIGURE 1: The samples varied widely in size of tissue and condition on arrival. Eighteen of the samples were insufficient or were received in a compromised state, so the assay could not be performed. For 1191 of the 30,314 samples, either a lactase-only level was ordered or the quantity was not sufficient to perform the other disaccharidase assays. Of the remaining samples, there was adequate tissue to perform the sucrase, maltase, and palatinase assays and protein level in 27,875.Table 1 shows the number of analyses performed for each of the disaccharidases, and Table 2 shows the total number of samples that were deficient in each enzyme. Disaccharidase deficiencies were found in fewer than half of the samples; most were sufficient in all of the enzymes tested. The most common deficiency was lactase, followed by pandisaccharidase deficiency. Of note, 9.3% of the patients were deficient in sucrase and maltase, but within this group, 86% had pandisaccharidase deficiency. Consistent with the literature, the classical signature activities of congenital sucrose-isomaltase deficiency, extremely low sucrose with normal lactase, were rare, occurring in 0.1% of the samples.TABLE 1: Number of analyses with mean and standard deviationTABLE 2: Frequency of enzyme deficienciesDISCUSSION Disaccharidase deficiencies are clinically associated with diarrhea, bloating, flatulence, and abdominal pain. Relief of symptoms is achieved by avoidance of the disaccharide or, in the case of lactase or sucrase deficiency, concurrent ingestion of supplemental lactase or sucrase with the sugar. These supplemental enzymes are beneficial for individuals with congenital enzyme deficiencies, but they may also offer relief for transient deficiencies such as may occur with small bowel injury. The strengths of these data lie in the large sample size that is nationally representative and the consistent and experienced personnel who performed the analyses; the enzyme assay has been in use and has not changed in decades. The weaknesses of these data lie in the lack of clinical correlation, the selection by the endoscopists of a young age group from which samples were obtained, the inability to control for sample integrity throughout the entire process of obtaining the samples, and handling and shipping. The analyses were performed manually, and human error is always a possibility. We conclude that the most common disaccharidase deficiency is lactase followed by pandisaccharidase. Sucrase deficiency was rare in these samples.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.018
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.245
Teacher spread0.237 · 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 teacher head, 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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Citations35
Published2012
Admission routes1
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