# Vitamin A status in healthy women eating traditionally prepared spirulina (Dihé) in the Chad Lake area.

Imar Djibrine Soudy, Régine Minet-Quinard, Alhadj Djidda Mahamat, Hadjé Fatimé Ngoua, Abdelaziz Arada Izzedine, Abdelsalam Tidjani, Elisabeth Ngo Bum, Celine Lambert, Bruno Pereira, Jehan-François Desjeux, et al.

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## To cite this version:

Imar Djibrine Soudy, Régine Minet-Quinard, Alhadj Djidda Mahamat, Hadjé Fatimé Ngoua, Abdelaziz Arada Izzedine, et al.. Vitamin A status in healthy women eating traditionally prepared spirulina (Dihé) in the Chad Lake area.. PLoS ONE, 2020, 13 (1), pp.e0191887. 10.1371/journal.pone.0191887. hal-03023689

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RESEARCH ARTICLE

# Vitamin A status in healthy women eating traditionally prepared spirulina (Dihé) in the Chad Lake area

Imar Djibrine Soudy¹,²*, Régine Minet-Quinard³, Alhadj Djidda Mahamat¹, Hadjé Fatimé Ngoua⁴, Abdelaziz Arada Izzedine²,⁵, Abdelsalam Tidjani⁶, Elisabeth Ngo Bum², Céline Lambert⁷, Bruno Pereira⁷, Jehan-François Desjeux⁸, Vincent Sapin³

1 Institut National Supérieur des Sciences et Techniques d'Abéché (INSTA-Tchad), Abéché, Tchad,

2 Institut de Recherche en Élevage pour le Développement (IRED), N'Djamena, Tchad, 3 Biochimie et Biologie Moléculaire, CHU, Clermont-Ferrand, France, 4 Hôpital de la mère et de l'Enfant, Ndjaména, Tchad,

5 Faculté des Sciences de l'Université de Ngaoundéré, Ngaoundéré, Cameroun, 6 Faculté de Médecine, Université de Ndjaména, Ndjaména, Tchad, 7 Unité Biostatistiques, DRCI, CHU, Clermont-Ferrand, France,

8 Académie Nationale de Médecine, Paris, France

* id.soudy@gmail.com

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## Abstract

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### OPEN ACCESS

**Citation:** Soudy ID, Minet-Quinard R, Mahamat AD, Ngoua HF, Izzedine AA, Tidjani A, et al. (2018) Vitamin A status in healthy women eating traditionally prepared spirulina (Dihé) in the Chad Lake area. PLoS ONE 13(1): e0191887. https://doi.org/10.1371/journal.pone.0191887

**Editor:** Jacobus P. van Wouwe, TNO, NETHERLANDS

**Received:** August 21, 2017

**Accepted:** January 12, 2018

**Published:** January 29, 2018

**Copyright:** © 2018 Soudy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

**Data Availability Statement:** All relevant data are within the paper, the figures and the tables.

**Funding:** The authors are grateful to Nestle Foundation for financing this research project. The authors likewise thank the French Embassy in Chad and the Centre National d'Appui à la Recherche (CNAR/CNRD) of Chad for their financial support in the organization and writing of this project. The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

### Background

Chad Lake is a central place in a region with a high prevalence of vitamin A deficiency. Spirulina, a natural source of β-carotene, is traditionally produced and eaten as “Dihé” around Chad Lake. β-carotene spirulina has been found to have a high conversion factor to retinol. The aim of the study was to assess if the retinol status between healthy women eating spirulina Dihé daily (SPI+) and not (SPI-) in the Chad Lake area was different.

### Methods

This study was observational: 88 healthy women were recruited and selected according to clinical criteria and their willingness to participate. They were divided in two groups according to their Dihé daily consumption: those who eat Dihé (SPI+; n = 35) and those who do not (SPI-; n = 35). After anthropometric and dietary assessments, blood retinol, β-carotene, retinol binding, and inflammatory/nutritional proteins were measured.

### Results

The diet between groups was identical, except for β-carotene consumption, which was higher in SPI+ than in SPI- (10.8 vs. 1.8 mg/day). The serum retinol and β-carotene concentrations were significantly higher in SPI+ than in SPI- at 1.26 ± 0.36 µmol/l versus 1.03 ± 0.31 µmol/l (p = 0.008) and 0.59 ± 0.37 µmol/l versus 0.46 ± 0.31 µmol/l (p = 0.04), respectively. Seventy-seven percent of SPI+ versus 29% of SPI- had an adequate blood retinol value (p = 0.01).
**Competing interests:** The authors have declared that no competing interests exist.

## Conclusion

The results confirm that β-carotene in spirulina is an effective positive modulator of blood retinol status. Dihé is a potential natural source of β-carotene to achieve a proper vitamin A status in healthy women living near Chad Lake.

## Introduction

Vitamin A deficiency (VAD) is one of the most important causes of preventable childhood blindness and is a major contributor to morbidity and mortality from infections, especially in children and pregnant women; this condition affects the poorest segments of the population, particularly those in low and middle-income countries. The primary cause of VAD is the lack of adequate vitamin A intake. Its consequence is most apparent during stages of life with high nutritional needs (e.g., early childhood, pregnancy, and lactation). A variety of interventions are being used to improve the vitamin A status of populations, including dietary diversification, vitamin A or β-carotene supplementation, and fortification [1–6]. As of 2011, over 30 million people live in the Chad Basin, and the population continues to grow rapidly. The main economic activities in the area are farming, herding, and fishing. At least 40% of the rural population of Chad Basin live in poverty and routinely experience chronic food shortages. VAD, defined as plasma retinol < 0.70 µmol/l, is highly prevalent in the area [7]. This condition could be attributed to the low consumption of food rich in vitamin A, such as liver, vegetables, and fruits, particularly during the dry season [8; 9].

Spirulina is a photo-autotroph alga considered to be a valuable additional food source of some macro- and micronutrients, including carotenoids (mainly β-carotene) [10–12]. Spirulina, which is a natural source of β-carotene, is traditionally produced as “Dihé” around Chad Lake. It is commonly used by some locals as a powder condiment mixed in their main and only dish [13]. A human supplementation study showed that “Bitot’s spots,” a symptom of VAD, decreased from 80% to 10% after consumption of 1 g spirulina per day for ≥150 days in 5,000 preschool-age children in Chennai (India, another country with a high prevalence of VAD) [14]. In another study, a daily dose of β-carotene from 2 g spirulina was administered to 400 school children, and the results showed an increase in the children’s vitamin A status to the same level as those administered with pure vitamin A [15]. In a study in rural areas of China, the efficacy of spirulina in improving the total body vitamin A stores of school-age children when they consumed spirulina in their daily meals was assessed. After the 10-week intervention, the serum β-carotene concentrations of children who received a 2 or 4 g spirulina supplement increased by 0.160 and 0.389 µmol/l, respectively. Their total body vitamin A stores increased significantly, with a median increase of 0.160 and 0.279 mmol in children taking 2 and 4 g, respectively [15]. This beneficial effect is attributed to the high β-carotene conversion factor of spirulina [16]. In a group of 10 well-nourished Chinese men following a low vitamin A diet, 4.5 mg spirulina β-carotene consumed with 22 g fat was found to have the same vitamin A activity as that achieved with 1 mg retinol. This result suggested that 4.1 mg powder could meet the US recommended dietary allowance of 900 µg of retinol activity equivalents for men [17].

Thus, the aim of our study was to assess the retinol status of healthy women eating spirulina in the form of Dihé in the Chad Lake area. The examination of such a population is different from that conducted in previous experimental studies because a well-defined diet was supplemented with specially prepared spirulina. Our study does not experiment a supplementation
or a fortification intervention; rather, it aims at exploring the long-term consequences of consuming spirulina as a local common food in healthy women. The selection of Chad Lake area as the study site enables the testing of the effect of Dihé consumption because not all families in the area eat Dihé, leading to the presence of both study groups in a similar geographical environment.

## Materials and methods

### Geographical site of the clinical investigation

Spirulina is naturally produced near the Chad Lake area, particularly in the Kanem and Lac regions. The dominant ethnic group in this region is the Kanembou, followed by the Arabs. Spirulina is collected and sun dried in a product called Dihé [13]. The final product is a thin green wafer. It is used as a powder mixed in the main dish; as such, it is used daily in some populations, especially among the Kanembou. It is poorly accepted in other populations, mostly the Arabs. As the Kanembou and Arabs have common food, except Dihé, the situation is conducive to studying the effects of Dihé on vitamin A status.

### Ethical issues and shipping of the serum samples

The research review and the ethical review committees of the National Ethical Committee of Chad (Comité National de Bioéthique du Tchad, CNBT) and Clermont Ferrand (Comité de Protection des Personnes Sud-Est) approved the study protocol. After a personal interview with the women in the local language, written informed consent was obtained from all 70 of them prior to their enrollment in the study. All women with overt disease (exclusion criterion) at screening were sent to Mao Hospital (Kanem region) for proper investigation and treatment. Once the plasma retinol concentrations of the women were known, everyone with VAD was treated according to standard international recommendations [7].

### Study design

The field study was conducted in May 2016. It was restricted to the Kanem region because this area is well secured by the Chadian army against terrorist activities of Boko Haram. Eighty-eight women were first assessed for eligibility (Fig 1). The exclusion criteria were below 18 years or more than 40 years of age, did not consent to participate in the study, pregnancy, diarrhea, malaria, or infection (fever). The participants were divided in two groups according to their spirulina consumption, namely, those who eat Dihé (SPI+ (n = 35)) and those who do not (SPI- (n = 35)). Dihé consumption was defined as three times of Dihé consumption in the previous seven days. The other group did not consume Dihé in the previous week; in fact, they are reluctant to consume it. The individual participants' daily food consumption was weighed (± 1g) prior to being mixed with spirulina (Table 1). As the diet was essentially the same in both groups except for spirulina, Table 1 presents a typical meal for women in both groups. The nutrition composition was analyzed using linear programming (NutriSurvey 2010, EBIS-pro, Germany) [18] with a minor modification in the food composition table to take into account the local food. The recommended values are for healthy 25-year-old women.

After anthropometric and dietary assessments, the women's blood samples were collected. The serum was immediately frozen (−20°C) and shielded from the light and then sent to the Biochemistry laboratory of University Hospital of Clermont-Ferrand (France) for storage (−80°C) and subsequent analysis of retinol, β-carotene, and proteins (retinol binding protein [RBP], transthyretin (pre-albumin)/TTR, C-reactive protein [CRP], albumin, and orosomucoid).
<figure><img src="image_5.png" /><figcaption>Fig 1. Flow chart of the enrolled women divided into the SPI+ and SPI- groups.</figcaption></figure>

https://doi.org/10.1371/journal.pone.0191887.g001

## Biological measurements

Vitamin A and β-Carotene (in µmol/l) were extracted from the serum with Chromsystems kits and analyzed with HPLC (Prominence HPLC, SHIMADZU) following the standard method validated by the manufacturer (Chromsystems Instruments & Chemicals GmbH, Germany). Serum proteins concentrations (RBP, TTR, CRP, albumin, and orosomucoid) were assessed with the immuno-nephelemetric method on a Dimension VISTA analyzer by using the methods and reagents recommended by the in-vitro diagnosis society Siemens Health Care (Marburg/Germany). The prognosis inflammatory and nutritional index (PINI) was calculated utilizing the original formula that considered blood concentrations of TTR, CRP, albumin, and orosomucoid [19].

## Statistical analysis

Because of the novelty of our research, estimating an optimal sample size appeared difficult for the main objective of this study, which was to assess the retinol status in healthy women eating spirulina in the form of Dihé. Therefore, the sample size was estimated according to Cohen's recommendations, which defined effect-size bounds as small (ES: 0.2), medium (ES: 0.5), and large (ES: 0.8, "grossly perceptible and therefore large"). We calculated that 33 women per
<table><caption>**Table 1.** Common daily food intake in the SPI- and SPI + groups. All data were similar in both groups, except the quantity of spirulina Dihé and the related amount of b-carotene.</caption><thead><tr><th>Food</th><th>Amount/day</th><th></th><th></th></tr></thead><tbody><tr><td>Maize semolina</td><td>500 g</td><td></td><td></td></tr><tr><td>Ogra</td><td>80 g</td><td></td><td></td></tr><tr><td>Beef, minced and cooked</td><td>123 g</td><td></td><td></td></tr><tr><td>Peanut oil</td><td>79 g</td><td></td><td></td></tr><tr><td>Onions fresh</td><td>106 g</td><td></td><td></td></tr><tr><td>Garlic fresh</td><td>21 g</td><td></td><td></td></tr><tr><td>Drinking water</td><td>2000 g</td><td></td><td></td></tr><tr><td>Quantity of spirulina Dihé consumed /person/day</td><td></td><td></td><td></td></tr><tr><td>- in SPI+</td><td>9 g</td><td></td><td></td></tr><tr><td>- in SPI-</td><td>0 g</td><td></td><td></td></tr><tr><th>Nutrient content</th><th>Analyzed value</th><th>Recommended value /day</th><th>Percentage fulfillment</th></tr><tr><td>Energy</td><td>2770.6 kcal</td><td>2676.6 kcal</td><td>104%</td></tr><tr><td>Water</td><td>2309.1 g</td><td>2700.0 g</td><td>86%</td></tr><tr><td>Protein</td><td>81.5 g (12%)</td><td>79.1 g (12%)</td><td>103%</td></tr><tr><td>Fat</td><td>99.6 g (32%)</td><td>90.8 g (&lt; 30%)</td><td>110%</td></tr><tr><td>Carbohydrates</td><td>383.3 g (56%)</td><td>382.1 g (&gt; 55%)</td><td>100%</td></tr><tr><td>Dietary fiber</td><td>30.2 g</td><td>30.0 g</td><td>101%</td></tr><tr><td>Alcohol</td><td>0.0 g</td><td>-</td><td>-</td></tr><tr><td>PUFA</td><td>25.2 g</td><td>10.0 g</td><td>252%</td></tr><tr><td>Cholesterol</td><td>75.8 mg</td><td>-</td><td>-</td></tr><tr><td>Sodium</td><td>90.9 mg</td><td>2000.0 mg</td><td>5%</td></tr><tr><td>Potassium</td><td>1082.1 mg</td><td>3500.0 mg</td><td>31%</td></tr><tr><td>Calcium</td><td>177.8 mg</td><td>1000.0 mg</td><td>18%</td></tr><tr><td>Magnesium</td><td>169.1 mg</td><td>310.0 mg</td><td>55%</td></tr><tr><td>Phosphorus</td><td>662.1 mg</td><td>700.0 mg</td><td>95%</td></tr><tr><td>Iron</td><td>10.1 mg</td><td>15.0 mg</td><td>67%</td></tr><tr><td>Zinc</td><td>10.8 mg</td><td>7.0 mg</td><td>155%</td></tr><tr><td>Vitamin E (eq.)</td><td>14.2 mg</td><td>12.0 mg</td><td>118%</td></tr><tr><td>Vitamin B1</td><td>0.9 mg</td><td>1.0 mg</td><td>90%</td></tr><tr><td>Vitamin B2</td><td>0.6 mg</td><td>1.2 mg</td><td>49%</td></tr><tr><td>Vitamin B6</td><td>1.3 mg</td><td>1.2 mg</td><td>109%</td></tr><tr><td>Total Folic acid</td><td>64.1 µg</td><td>400.0 µg</td><td>16%</td></tr><tr><td>Vitamin C</td><td>122.8 mg</td><td>100.0 mg</td><td>123%</td></tr><tr><td>Vitamin A</td><td>389.7 µg</td><td>800.0 µg</td><td>49%</td></tr><tr><td>Approximate amount of β-carotene consumed person/day</td><td></td><td></td><td></td></tr><tr><td>- in SPI+</td><td>10.8mg</td><td></td><td></td></tr><tr><td>- in SPI-</td><td>1.8mg</td><td></td><td></td></tr></tbody></table>

https://doi.org/10.1371/journal.pone.0191887.t001

group would be adequate in highlighting an effect size equal to 0.8 for a two-sided type-I error set at $\alpha = 0.05$ and a statistical power of 90%. Considering possible missing data, we finally chose to include a minimum of 35 women per group (see Fig 1).

Statistical analysis was performed using Stata software (version 13, StataCorp, College Station, Texas, US). The tests were two sided, with a type-I error set at $\alpha = 0.05$. Baseline characteristics were presented as mean $\pm$ standard-deviation according to the statistical distribution for continuous data (normality studied using the Shapiro-Wilk test) and as the number of women and associated percentages for categorical parameters. The Kolmogorov-Smirnov test
was applied to compare the statistical distribution of vitamin A and β-carotene between the SPI+ and SPI- groups. Then, comparisons between independent groups (SPI+ and SPI-) were performed with the Student's t-test or the Mann-Whitney test, if t-test conditions could not be respected (normality and homoscedasticity analyzed with the Fisher-Snedecor distribution). The results were expressed as effect size, 95% confidence interval, and p-value. The comparisons for categorical parameters were performed with a chi-squared test or, if necessary, Fisher's exact test. The analysis of the relationships between quantitative parameters was performed using correlation coefficients (Pearson or Spearman, according to statistical distribution) and represented graphically with a color-coded heatmap. Finally, multivariate analyses were performed to consider adjustment on possible confounding factors, such as body mass index (BMI). Linear multiple regressions were applied for continuous outcomes and logistic models for dichotomous endpoints.

## Results

As illustrated in Table 1, the food pattern in both groups was very similar. As expected, the diet was monotonous on a daily basis. The amount of food was estimated at the meal time in which there is a common plate for the family. In agreement with the anthropometric characteristics, the macronutrient content of the food was within the recommended values per day. The main difference between groups was the beta-carotene content: 1.8 and 10.8 mg (Table 1) in the SPI- and SPI+ groups, respectively.

The anthropometric characteristics of the two groups of non-pregnant women (SPI- and SPI+) are described in Table 2. Statistical differences were observed between groups for weight and BMI, which were both significantly lower in the SPI- group. This result agrees with the common finding that VAD is often associated with malnutrition [20; 21]. Nevertheless, the mean BMI values in both groups were within reference values [22], excluding severe malnutrition, as confirmed by the higher albumin concentrations than the alert blood values, not significantly different between both groups (Table 3). Note that the other proteins (TTR, CRP, albumin, and orosomucoid) were also statistically similar to the PINI score.

The serum retinol (vitamin A) concentrations of both groups of women are presented in Table 3 and Fig 2. The retinol serum concentration is significantly different (p = 0.008) between the two groups, with an average of 1.26 (± 0.36) µmol/l in the SPI+ group and 1.03 (± 0.31) µmol/l in the SPI- group. As the specific retinol carrier protein, RBP also had lower concentrations in the SPI- group than in the SPI+ group (p = 0.006), leading to the similar retinol/ RBP ratio of the two groups. The presence of a ternary complex (RBP-TTR-Rol) was also illustrated by the similar correlation coefficient between vitamin A-RBP, vitamin A-RBP ratio, and vitamin A-TTR of both groups (Fig 3). Using the well-established cut-off of 1.05 µmol/l as recommended blood retinol level, we clearly established that the percentage of retinol' adequate status was higher in SPI+ than SPI- group (p = 0.01). In addition, the percentage of women with biological VAD deficiency (<0.7 µmol/l) was higher in the SPI- group (11.4%) than in

<table><caption>**Table 2.** Anthropometric characteristics of non-pregnant women consuming spirulina (SPI+) and non-pregnant women not consuming spirulina (SPI-).</caption><thead><tr><th></th><th>SPI +<br>(n = 35)</th><th>SPI -<br>(n = 35)</th><th>p value</th></tr></thead><tbody><tr><td>Age (years)</td><td>25.8 ± 4.8</td><td>26.1 ± 5.9</td><td>0.81</td></tr><tr><td>Weight (kg)</td><td>62.9 ± 4.2</td><td>57.8 ± 4.65</td><td>&lt;0.001</td></tr><tr><td>Height (m)</td><td>1.67 ± 0.05</td><td>1.67±0.04</td><td>0.88</td></tr><tr><td>Body Mass Index (kg/m2)</td><td>22.69 ± 1.63</td><td>20.81±1.84</td><td>&lt;0.001</td></tr></tbody></table>

https://doi.org/10.1371/journal.pone.0191887.t002
<table><caption>Table 3. Biological parameters of non-pregnant women consuming spirulina (SPI+) and non-pregnant women not consuming spirulina (SPI-).</caption><thead><tr><th></th><th>SPI +</th><th>SPI -</th><th>P<br>univariate</th><th>Effect-size [95%CI]</th><th>p<br>multivariate<sup>1</sup></th></tr></thead><tbody><tr><td>Vitamin A (µmol/l), mean ± sd</td><td>1.26 ± 0.36</td><td>1.03 ± 0.31</td><td>0.006</td><td>0.68 [0.20; 1.16]</td><td>0.008</td></tr><tr><td>Vitamin A &lt; 1.05 µmol/l, n (%)</td><td>10 (28.6)</td><td>20 (57.1)</td><td>0.02</td><td>/</td><td>0.01</td></tr><tr><td>β-carotene (µmol/l), mean ± sd</td><td>0.59 ± 0.37</td><td>0.46 ± 0.31</td><td>0.11</td><td>0.39 [-0.09; 0.86]</td><td>0.04</td></tr><tr><td>RBP (mg/l), mean ± sd</td><td>33.24 ± 10.57</td><td>27.40 ± 7.11</td><td>0.01</td><td>0.65 [0.16; 1.13]</td><td>0.006</td></tr><tr><td>TTR (mg/l), mean ± sd</td><td>0.23 ± 0.05</td><td>0.21 ± 0.08</td><td>0.44</td><td>0.19 [-0.28; 0.66]</td><td>0.47</td></tr><tr><td>Albumin (g/l), mean ± sd</td><td>42.33 ± 3.56</td><td>41.84 ± 4.23</td><td>0.60</td><td>0.13 [-0.34; 0.59]</td><td>0.44</td></tr><tr><td>CRP (mg/l), mean ± sd</td><td>3.32 ± 1.63</td><td>4.01 ± 2.46</td><td>0.17</td><td>0.33 [-0.80; 0.14]</td><td>0.17</td></tr><tr><td>Orosomucoid (mg/l), mean ± sd</td><td>0.87 ± 0.24</td><td>0.86 ± 0.26</td><td>0.81</td><td>0.06 [-0.41; 0.53]</td><td>0.82</td></tr><tr><td>Ratio retinol/RBP, mean ± sd</td><td>0.83 ± 0.25</td><td>0.82 ± 0.27</td><td>0.82</td><td>0.05 [-0.42; 0.52]</td><td>0.10</td></tr><tr><td>Ratio RBP/TTR, mean ± sd</td><td>0.39 ± 0.10</td><td>0.35 ± 0.09</td><td>0.15</td><td>0.35 [-0.13; 0.82]</td><td>0.13</td></tr><tr><td>Ratio retinol/ TTR, mean ± sd</td><td>0.31 ± 0.09</td><td>0.28 ± 0.09</td><td>0.11</td><td>0.38 [-0.09; 0.86]</td><td>0.47</td></tr><tr><td>PINI, median [IQR]</td><td>0.26 [0.20; 0.39]</td><td>0.29 [0.22; 0.41]</td><td>0.32</td><td>-0.34 [-0.81; 0.13]</td><td>0.17</td></tr></tbody></table>

https://doi.org/10.1371/journal.pone.0191887.t003

the SPI+ group (2.9%). Altogether, the results described SPI+ women as a group presenting a more adequate biological retinol status than the SPI- women.

As indicated in Table 3, the β-carotene blood levels are more elevated in the SPI+ group than in the SPI- group (p = 0.04), with an average of 0.59 (± 0.37) and 0.46 (± 0.31) µmol/l respectively; included in the reference ranges of the laboratory (0.074–0.599 µmol/l). As illustrated in Fig 4, the percentage of upper concentration than 0.599 µmol/l was higher in the

<figure><img src="image_6.png" /><figcaption>**Fig 2.** Retinol blood concentrations and distribution in the SPI- and SPI+ groups. The left panel presents all individuals' blood values, with two red horizontal bars representing the higher value, the adequate blood level of retinol (1.05 µmol/l), and the lower one, which is the cut-off to define a VAD biologically (0.7 µmol/l). The right panel represents the repartition of both groups by using the adequate and VAD blood levels.</figcaption></figure>

https://doi.org/10.1371/journal.pone.0191887.g002

<footnote n="1">1) Multivariate analyses were performed to consider adjustment on possible confounding factors as BMI</footnote>
<figure><img src="image_7.png" /><figcaption>Fig 3. Correlations between biological parameters in the SPI- and SPI+ groups.</figcaption></figure>

https://doi.org/10.1371/journal.pone.0191887.g003

SPI+ group than in the SPI- group (43.3% vs. 26.7%). However, we could not find retinol values that are more than 2.45 µmol/l in both SPI+ and SPI- groups, which could be considered the biological stigmata of hypervitaminosis A. A stronger correlation coefficient was found between vitamin A and β-carotene (Fig 3) in SPI+, suggesting the link between both parameters.

Discussion

Our results confirm that β-carotene in spirulina is an effective precursor of retinol [23; 15; 24]. They further suggest that Dihé is a potential natural dietary source of β-carotene to achieve an adequate retinol status in healthy women living near Chad Lake. In previous studies, similar results were obtained but in acute conditions designed as clinical trials that were conducted within a short period of time. The originality of our work is that we did not change the participants' usual consumption behavior and diet content, as spirulina was regularly consumed as a common condiment in the meals of the SPI+ group. Our work was based on the observation of continuous real life of β-carotene consumption. In this case, differences in blood β-carotene concentrations between both groups is attempted, regards to the daily ingested quantity (10.8 mg) by SPI+ one. Indeed, this concentration was previously demonstrated to be altered by eating a meal containing ≥ 6 mg of β-carotene [25]. In contrast to that of previous studies, the design of our work establishes the conversion of β-carotene into vitamin A by assessing the positive changes in serum retinol after regular consumption with β-carotene of spirulina
<figure><img src="image_8.png" /><figcaption>**Fig 4.** β-carotene blood concentrations and distribution in the SPI- and SPI+ groups. All individuals' blood values were presented for both groups, with two horizontal bars representing the reference ranges used in the laboratory (0.074–0.599 µmol/l).</figcaption></figure>

https://doi.org/10.1371/journal.pone.0191887.g004

because it is the single difference between both groups studied. In our opinion, this concept is clearly established in our results, even if we used a more rustic approach than those based on the stable isotope reference method with labeled synthetic β-carotene.

The prevention of VAD is still a matter of debate [2–6]. Several interventions to prevent VAD used bioengineered food, such as golden rice or high-β-carotene yellow maize [1; 8; 26–31]. Their results based on retinol plasma level are encouraging but are not entirely convincing. In addition, bio-fortification has technical limits, including cost and regular supply. Another public policy to control VAD is to avoid such interventions if a normal vitamin A status can be sustained from a diversified diet. In our study, Dihé is not bio-fortified with β-carotene and is available all year round as local food. An additional advantage of β-carotene supplementation with spirulina is the homeostatic and strict control of its intestinal absorption and enzymatic conversion into retinol. This advantage was verified in the SPI+ group through the absence of retinol blood values that increase to hyper-vitaminosis A alert concentrations, thereby strengthening the possibility of using this supplementation in pregnant women. Pregnancy is a physiological period with a high risk of VAD, which leads to fetal developmental abnormalities. Natural consumption without hyper-vitaminosis A risk needs to be checked in future studies.

In the group consuming spirulina, the blood retinol and β-carotene concentrations presented a significant variation between women and did not reach reference values in all women. For β-carotene, it may be due to several factors: the women may have consumed less
than 9 g spirulina every day, as their dietary intake was not precisely assessed by direct weighing. Alternatively, it may also be related to intestinal absorption [10; 32]. Common meals contain 79 g peanut oil, with mostly oleic, linoleic, and palmitic acid, a condition representing the optimal absorption of β-carotene [33]. Spirulina has been shown to contain major proportions of mono-and galactosyl diglyceride, sulfo-quinovosyl diglyceride, and phosphatidyl glycerol, but none possess lecithin, phophatidyl ethanolamine, or phosphatidyl inositol. However, the functional role of β-carotene absorption is not yet known [34]. Specific individual conversion rates of β-carotene into retinol could be proposed to explain retinol variations.

Some limitations of our study could be noted. First, the vitamin A status of the women was determined from plasma retinol concentrations and not through the measurement of total body store or from a dose-response test [35]. Such explorations would be very difficult to conduct in the Chad context. In addition, the used indicator of VAD (blood level < 0.70 µmol/l) was prescribed by the WHO. Nevertheless, our concordant biological data are in agreement with the VAD status as for example, the reduction more than the destabilization of the circulatory complex of vitamin A in the SPI- group. The second limitation of our study was that we don't try to identify the clinical consequences of VAD. It was originally set, but the unsafe area under Boko Haram threat made the realization of this target difficult. Nevertheless, this limitation does not alter the primary conclusion of our study regarding the effect of Dihé on vitamin A status. The third limitation is the food habits identified in the two ethnic groups (Kanembou versus Arabic), which could have genetic differences in their global metabolism of carotenoids and retinoids. Our main inclusion criterion was that the women had to be healthy, thereby removing clinical situations known to alter β-carotene bioavailability [36]. Infectious diseases, including infectious diarrhea, have been well demonstrated to function as limiting factors to β-carotene absorption [37]. Our results should be tested in such populations in future studies.

## Conclusion

We demonstrate that β-carotene in spirulina is an effective positive modulator of blood retinol status and that a natural food compound, Dihè, is a potential natural source of β-carotene to achieve an optimal vitamin A status in healthy women living near Chad Lake. These initial results provide evidence that may encourage future studies to test this strategy on pregnant or unhealthy women.

## Acknowledgments

The authors are grateful to Nestle Foundation for financing this research project. The authors likewise thank the French Embassy in Chad and the Centre National d'Appui à la Recherche (CNAR/CNRD) of Chad for their financial support in the organization and writing of this project. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors thank Scribendi for the English proofreading of the manuscript.

## Author Contributions

**Conceptualization:** Imar Djibrine Soudy, Jehan-François Desjeux.

**Data curation:** Vincent Sapin.

**Formal analysis:** Imar Djibrine Soudy, Abdelaziz Arada Izzedine, Elisabeth Ngo Bum, Jehan-François Desjeux, Vincent Sapin.

**Funding acquisition:** Imar Djibrine Soudy.
**Investigation:** Imar Djibrine Soudy, Régine Minet-Quinard, Alhadj Djidda Mahamat, Hadjé Fatimé Ngoua, Jehan-François Desjeux, Vincent Sapin.

**Methodology:** Régine Minet-Quinard, Hadjé Fatimé Ngoua, Bruno Pereira, Vincent Sapin.

**Project administration:** Imar Djibrine Soudy, Hadjé Fatimé Ngoua, Jehan-François Desjeux.

**Resources:** Abdelaziz Arada Izzedine, Elisabeth Ngo Bum.

**Software:** Bruno Pereira, Vincent Sapin.

**Supervision:** Abdelsalam Tidjani, Vincent Sapin.

**Validation:** Imar Djibrine Soudy, Alhadj Djidda Mahamat, Céline Lambert, Bruno Pereira, Vincent Sapin.

**Visualization:** Abdelsalam Tidjani, Elisabeth Ngo Bum, Céline Lambert.

**Writing – original draft:** Imar Djibrine Soudy, Abdelaziz Arada Izzedine, Abdelsalam Tidjani, Jehan-François Desjeux, Vincent Sapin.

**Writing – review & editing:** Régine Minet-Quinard, Hadjé Fatimé Ngoua, Céline Lambert, Bruno Pereira, Jehan-François Desjeux, Vincent Sapin.

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