| Literature DB >> 30151974 |
Kyly C Whitfield1, Megan W Bourassa2, Bola Adamolekun3, Gilles Bergeron2, Lucien Bettendorff4, Kenneth H Brown5, Lorna Cox6, Aviva Fattal-Valevski7, Philip R Fischer8, Elizabeth L Frank9, Laurent Hiffler10, Lwin Mar Hlaing11, Maria Elena Jefferds12, Hallie Kapner13, Sengchanh Kounnavong14, Maral P S Mousavi15, Daniel E Roth16, Maria-Nefeli Tsaloglou17, Frank Wieringa18, Gerald F Combs19.
Abstract
Thiamine is an essential micronutrient that plays a key role in energy metabolism. Many populations worldwide may be at risk of clinical or subclinical thiamine deficiencies, due to famine, reliance on staple crops with low thiamine content, or food preparation practices, such as milling grains and washing milled rice. Clinical manifestations of thiamine deficiency are variable; this, along with the lack of a readily accessible and widely agreed upon biomarker of thiamine status, complicates efforts to diagnose thiamine deficiency and assess its global prevalence. Strategies to identify regions at risk of thiamine deficiency through proxy measures, such as analysis of food balance sheet data and month-specific infant mortality rates, may be valuable for understanding the scope of thiamine deficiency. Urgent public health responses are warranted in high-risk regions, considering the contribution of thiamine deficiency to infant mortality and research suggesting that even subclinical thiamine deficiency in childhood may have lifelong neurodevelopmental consequences. Food fortification and maternal and/or infant thiamine supplementation have proven effective in raising thiamine status and reducing the incidence of infantile beriberi in regions where thiamine deficiency is prevalent, but trial data are limited. Efforts to determine culturally and environmentally appropriate food vehicles for thiamine fortification are ongoing.Entities:
Keywords: LMIC; beriberi; erythrocyte transketolase; nutrition; thiamine deficiency; thiamine diphosphate
Mesh:
Year: 2018 PMID: 30151974 PMCID: PMC6392124 DOI: 10.1111/nyas.13919
Source DB: PubMed Journal: Ann N Y Acad Sci ISSN: 0077-8923 Impact factor: 5.691
Distribution of thiamine derivatives in human whole blood and plasma in nmol/L ± standard deviation with the percent of total thiamine derivatives in each specimen type
| Specimen ( | Thiamine (nmol/L) | ThMP (nmol/L) | ThDP (nmol/L) | ThTP (nmol/L) |
|---|---|---|---|---|
| Whole blood (7) | 4 ± 3 (2.4%) | 10 ± 4 (6.1%) | 138 ± 33 (83.6%) | 13 ± 4 (7.9%) |
| Plasma (3) | 11 ± 3 (68.7%) | 5 ± 2 (31.3%) | n.d. | n.d. |
ThMP, thiamine monophosphate; ThDP, thiamine diphosphate; ThTP, thiamine triphosphate; n.d., not detectable.
Adapted from Gangolf et al.8
Figure 1Thiamine diphosphate is a cofactor required for several metabolic processes, shown in bold text. Adapted from Thurnham.9
Figure 2The three thiamine‐dependent enzymes and their role in the pathogenesis of cell death in thiamine deficiency. Adapted from Fattal‐Valevski.10 Dashed lines represent indirect pathways. ThDP, thiamine diphosphate.
Thiamine biomarkers used to measure recent intake and thiamine status
| Biomarker | Specimen | Advantages | Disadvantages |
|---|---|---|---|
| Direct measurement | |||
| Thiamine | Plasma | Indicates recent intake | Not an indicator of thiamine status |
| ThMP | Plasma | Indicates recent intake | Not an indicator of thiamine status |
| ThDP | Whole blood; erythrocytes | Biologically active vitamer and indicator of thiamine status | Unstable if specimen is not properly handled |
| Indirect/functional measurement | |||
| ETK activity coefficient | Washed erythrocytes | Functional assay of biological activity | Assay is not readily available |
ThMP, thiamine monophosphate; ThDP, thiamine diphosphate; ETK, erythrocyte transketolase.
Figure 3The sequential reactions involved in the erythrocyte transketolase (ETK) assay.
Analytical requirements for thiamine biomarkers
| ThDP | ETKAC | |
|---|---|---|
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| Analytical instrument | HPLC or LC–MS/MS | UV spectrophotometer |
| Specimen type | Whole blood or washed erythrocytes | Washed erythrocytes |
| Collection tube | Heparin or EDTA | Heparin or EDTA |
| Sample processing | 3× saline wash to purify erythrocytes or hemolyzed whole blood | 3× saline wash to purify erythrocytes |
| Minimum volume |
For HPLC: 300 μL For LC–MS/MS: 150 μL | 30 μL |
| Storage | Room temperature for a few hours, store at –20 °C for a few months, –70 °C for several months/years | Room temperature for a few hours, store at –20 °C for a few weeks, –70 °C for several months/years |
| Shipping | Dry ice | Dry ice |
ThDP, thiamine diphosphate; ETKAC, erythrocyte transketolase activation coefficient; HPLC, high‐performance liquid chromatography; LC–MS/MS, liquid chromatography coupled to tandem mass spectrometry; EDTA, ethylenediaminetetraacetic acid.
Figure 4Comparison of the erythrocyte ThDP assay and ETKAC values from medical and surgical patients who were determined to be at risk of thiamine deficiency (from Talwar et al.17). ThDP, thiamine diphosphate; ETKAC, erythrocyte transketolase activation coefficient.
Figure 5Clinical spectrum of thiamine deficiency disorders. Adapted from the WHO, 1999.39
Figure 6An example of a proposed case definition of thiamine deficiency disorder (TDD).
Figure 7Clinical guidelines for empirical treatment of suspected thiamine deficiency disorders (TDDs). LMIC, low‐ and middle‐income countries; IDP, internally displaced person; TDD, thiamine deficiency disorder.
Published outbreaks of thiamine deficiency (at least 15 people affected) since 1980 in low‐ and middle‐income countries where deficiency is not known to be endemic
| Continent | Country | Year | Population or location | Number of cases | Deaths | Age of cases | Notes | Refs. |
|---|---|---|---|---|---|---|---|---|
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| Bhutan | 2015 | Female boarding school students | 17 (all females) | 0 | 9−18 years | Thiamine deficiency increased later in the school year |
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| Papua New Guinea | 2009 | Boarding school students in Southern region | 6 severe deficiency, 24 marginal deficiency; 63% females | 0 | 14−22 years |
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| Thailand | 1994−1995 | Rural Northeast | 31 thiamine deficient (thiamine effect >20%); 34 thiamine deficient 6 months later | 0 | 6−12 years | No association with parasitic infection |
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| Thailand | 2005 | Male fishermen in Maha Chai | 15 (12 probable, 3 confirmed) | 2 | 20−40 years | 2 months on a diet of fish and polished rice and 18 months at sea |
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| Thailand | 2012−2013 | Factory workers in Chachoengsao | 17 (suspected) | 3 (all males) | 20−30 years | Likely due to low thiamine and heavy physical activity |
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| Taiwan | 1999 | Chinese immigrants in a detention center | 34 probable and 70 possible cases out of 176 surveyed | 2 (all males) | 22−40 years | Average thiamine intake among the 15 hospitalized patients was 0.49 ± 0.1 mg/day |
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| Kiribati | 2012−2015 | Adult men, pregnant and lactating women, and infants | 34 confirmed (of 72 suspected cases) | 9 | <1 to >50 years | Majority of cases reported from September 2014–January 2015, but cases were still reported in 2017. Diet on Kuria Island is mainly imported unfortified white rice |
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| South Africa | 1981−1985 | Patients admitted to King Edward VII Hospital in Durban | 41 (23 “fairly certain” beriberi) | Adult men | High consumption of Zulu beer |
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| Somalia | 2009−2010 | Male African Union soldiers | 241 | 4 | 29 years (mean) | Restricted diet |
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| Gambia | 1990−1991 | Urban | 38; 27 men and 11 women | 4 | Men 36 years; women 35 years | Later half of rainy season |
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| Gambia | 1988 | North Bank region | 140 (suspected) | 22 | Adults and children | Twice the average rainfall |
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| Côte d'Ivoire | 2002−2003 | Abidjan Prison | 597 definite cases; 115 probable cases (all males) | 7 | 15−73 years (28 mean) | Penal ration contained 1/5 of recommended dietary thiamine |
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| Côte d'Ivoire | 2008 | Abidjan prison (Maca) | 205 | 0 | 33 years (mean) |
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| “West Africa” | 2002 | Prisoners | 211 | 25 | Adults |
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| Guinea | 2015 | Prisoners | 618 | 1 | Adults |
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| Mayotte and Reunion Islands (French Territories) | 1997−2005 | Mahoran or Comorian | 70 (67% females) (21 cases in 2004) | 27 years (mean) | Apparently healthy, young nonalcoholic adults |
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| Mayotte Island | 2004 | Breastfed infants | 32 | 20 | 3 weeks–6 months | Occurred between April and July in children who were unsupplemented |
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| Angola | 2002 | Chipindo | 51 (suspected) | 10 | 4 months–86 years (21.3 years mean) | Extremely limited diet due to conflict; 32 cases were under 15 years old––most at risk |
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| Brazil | 2006−2008 | Prospective study of PICU patients at the Hospital of São Paulo | 57 | 1.7 years (mean) | Magnitude of inflammatory response was a risk factor |
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| Brazil | 2008 | Macuxi Amerindian communities in Roramia | 87 | 3 | 31 years (1−85 years) | 90% of cases had “normal” ThDP |
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| Brazil | 2006−2008 | Maranhão State | 1207 | 40 (1 female) | ∼20−40 years | Cases were largely from May to August, in young, low‐income men performing heavy labor |
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| French Guiana | 2013−2014 | Illegal gold miners | 42 (5 females) | 1 | 22−65 years | Cases still reported in 2016 |
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| Cuba | 1992−1993 | Pinar del Rio and Havana | 107 | 0 | >15 years |
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| Colombia | 1991−1993 | Marines in the Naval School Almirante Padilla | 22 | 2 | 20−21 years |
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Figure 8Map depicting countries where the estimated per capita availability of thiamine in the national food supply (as per food balance sheets) is below the recommended nutrient intake for men of 1.2 mg/day (in turquoise), and countries where rice or wheat flour fortification is in place to address low thiamine availability (in yellow). Countries where the estimated mean thiamine availability is greater than or equal to 1.2 mg/day are in gray.
List of estimated thiamine intakes from studies assessing micronutrient intakes of pregnant and lactating women in low‐ and middle‐income countries since 1980
| Continent | Country | Location | Number of cases | Method | Mean ± SD (mg/day) | Refs. |
|---|---|---|---|---|---|---|
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| Thailand | Songkhla (Southern) | 236 | 24‐h diet record and FFQ | 0.46 ± 0.14 |
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| Thailand | Pattani | 166 | FFQ | 0.45 (0.1–1.9 min–max) |
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| Thailand | Narathiwat (Southern) | 400 | FFQ | 0.7 (0.1–2.5 min–max) |
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| China | Wenzhou | 20 | 7‐day diet record | 0.87 ± 0.32 |
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| Changzhou | 82 | 7‐day diet record | 0.81 ± 0.26 | |||
| China | Rural Southern Mountain (Li ethnicity) | 189 | 5‐day diet record | 0.98 ± 0.38 |
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| Rural Southern Coast (Li ethnicity) | 76 | 5‐day diet record | 0.80 ± 0.41 | |||
| China | 163 | 24‐h recall | 1.77 ± 0.79 |
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| China | Urban | 479 | 24‐h recall and FFQ | 1.2 ± 0.9 |
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| Indonesia | Central Java | 122 | 6−24 h recalls | First trimester: 0.66 ± 0.28 |
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| 406 | 6−24 h recalls | Second trimester: 0.77 ± 0.24 | ||||
| 356 | 6−24 h recalls | Third trimester: 0.82 ± 0.33 | ||||
| Lao PDR | Vientiane | 300 | 24‐h recall | 0.8 ± 0.5 |
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| Nepal | Bhaktapur | 466 | Multiple pass 24‐h recall | 0.78 ± 0.23 |
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| India | Delhi | 178 | 2−24 h recalls | 1.1 ± 0.6 |
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| India | Haryana/Hisar (semiarid) | 30 | 3−24 h recalls | 0.89 ± 0.2 |
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| Haryana/Bhiwani (arid) | 30 | 3−24 h recalls | 0.79 ± 0.2 | |||
| Haryana/Kurukshetra (wet) | 30 | 3−24 h recalls | 0.89 ± 0.1 | |||
| India | Ludhiana | 66 | Dietary survey | 1.3 ± 0.2 |
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| India | Coimbatore | 316 | 1.2 |
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| India | Haryana/Hisar | 120 | 24‐h recall | 1.77 ± 0.76 |
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| India | Farming | 45 | 3‐day food record and diet habit survey | 1.3 ± 0.4 |
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| Nonfarming | 45 | 3‐day food record and diet habit survey | 1.3 ± 0.3 | |||
| Palau | Koror | 25 | 24‐h diet recall | 1.9 ± 1.0 |
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| Iran | Maku Urban | 142 | 2−24 h recalls and FFQ | 1.90 ± 0.73 |
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| Maku Rural | 142 | 2−24 h recalls and FFQ | 2.10 ± 0.42 | |||
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| Burkina Faso | Hounde | 218 | 24‐h recall | 0.81 (P25 = 0.54; P75 = 1.12) |
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| Morocco | Rural | 63 | FFQ | 1.67 ± 0.62 |
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| Urban | 92 | FFQ | 1.46 ± 0.38 | |||
| Ghana | Rural | 15 | FFQ and 24‐h recall | 1.6 (0.7−2.4 range) |
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| Suburban | 15 | FFQ and 24‐h recall | 2.2 (1.3−4.6 range) | |||
| Egypt | Kalama | 50 | Self‐report and sample weighing | 1.1 ± 0.3 |
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| Colombia | Southeastern Cali | 381 | 24‐h recall | 0.58 (median) (0.42−0.85 IQR) |
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| Peru | Chanchamayo | 206 | Multiple pass 24‐h recall | 0.69 ± 0.47 |
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| Peru | Lima, Villa El Salvador | 168 | 24‐h recall | 10−24 weeks gestation: 0.8 (5th = 0.4; 95th = 1.8) |
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| 120 | 24‐h recall | 28–30 weeks gestation: 1.0 (5th = 0.4; 95th = 1.8) | ||||
| Mexico | Mexico City | 112 | 24‐h recall | 1.3 (1.1−1.5 min–max) |
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| Brazil | Sao Paulo | 72 | 24‐h recall | 1.1 (0.8−1.5 IQR) |
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| Chile | Concepcion | 214 | 24‐h recall | 1.5 (median) (1.3‐1.7 IQR) |
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| Ecuador | Quito | 74 | Survey of food patterns and nutrient intake | 1.9 |
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FFQ, food‐frequency questionnaire; IQR, interquartile range.
Figure 9Comparison of infant mortality rates by month of age in Cambodia based on DHS data. CDHS, Cambodian Demographic and Household Survey.
Figure 10A proposed approach for assessing a country's risk of thiamine deficiency disorders (TDDs) and the actions the countries could consider taking to prevent or eliminate TDD cases.
Figure 11Educational poster outlining common signs of infantile beriberi (in Khmer).
Thiamine research opportunities
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Current laboratory reference ranges for thiamine diphosphate (ThDP) are based on the range of thiamine status in populations without thiamine deficiency, and there are no commonly accepted clinically relevant cut‐points for thiamine deficiency based on ThDP. A more appropriate cutoff for deficiency should consider clinical manifestations of thiamine deficiency in at‐risk populations to better assess and define thiamine deficiency.
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Comparing the different biomarker data for thiamine deficiency is currently challenging because there are few studies relating blood ThDP concentrations to the corresponding erythrocyte transketolase activation coefficient (ETKAC) values. Additionally, there are no published data comparing the biomarkers in a deficient population. As both biomarkers are currently used, understanding their interrelationship is important for comparing data from different studies.
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There are a number of challenges to assessing thiamine status in low‐ and middle‐income countries (LMIC), including the required cold chain and limited availability of laboratories to analyze thiamine status.
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