Natsumi Susai1, Tomohiro Kuroita1, Koji Kuronuma2, Takeshi Yoshioka1. 1. Translational Research Unit, Infectious Disease Marker, Biomarker R&D Department, Shionogi & Co., Ltd., 3-1-1 Futaba-cho, Toyonaka, Osaka 561-0825, Japan. 2. Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, S1 W17, Chuo-ku, Sapporo 060-8556, Japan.
Pellagra is a clinical syndrome characterised by dermatitis, diarrhoea, dementia, and
nausea [1,2,3,4]. It is caused by malnutrition and has two types. One type may result from
insufficient intake of dietary niacin or tryptophan (primary pellagra), and the other
results from insufficient use of niacin or tryptophan (secondary pellagra) [5]. Although the cause of pellagra is clear, its diagnosis
usually relies on severe clinical symptoms. Previously, we found that feeding a low-niacin
diet was required to construct mouse models of mild and secondary pellagra using isoniazid
(INH) [6]. A niacin-free diet causes body weight (BW)
loss and severe pathological conditions in rats and humans [7, 8]. In our studies, we did not use these
diets, as we wished to avoid inducing severe pellagra, which sometimes causes death.All living organisms, including bacteria, require nicotinamide adenine dinucleotide (NAD)
to live and regulate intracellular processes [9].
Bacteria obtain NAD via de novo synthesis and the salvage pathway. However,
some bacteria cannot synthesise NAD de novo and thus must use the salvage
pathway to import niacin or nicotinamide riboside through substrate importers [10]. Some water-soluble vitamins, including niacin, are
synthesised by certain types of gut bacteria, which are thought to be important sources of B
vitamins for their host [11, 12]. Therefore, dietary niacin and the gut microbiome appear to mutually
control each other [13].Based on this, we used model mice to investigate whether the gut microbiota plays an
important role in the development of pellagra-related nausea. Furthermore, we also focused
on the symptoms of pre-pellagra, which is defined as the condition before the onset of
prominent symptoms and has obvious potential to cause disease, to gain mechanistic insights
with respect to pellagra. In the future, our newly validated and established mouse model
will hopefully be useful for identifying putative pellagra-inducing drugs that have not yet
been recognised as triggers or causes of this disease.
MATERIALS AND METHODS
Experimental animals
The Institutional Animal Care and Use Committee at Shionogi & Co., Ltd. approved the
animal experiments. The experiments were conducted in a facility accredited by the
Association for Assessment and Accreditation of Laboratory Animal Care International
(S21041C-0002). Female Balb/c mice (6 weeks of age) were obtained from Japan SLC
(Hamamatsu, Japan) and housed five per cage under controlled environmental conditions
(24°C ± 2°C; 50% ± 20% relative humidity; 12-hr light/dark cycle, lights on at 8:00 a.m.).
The mice were fed a normal or low-niacin diet (Supplementary Tables 1, 2), and their BWs
were recorded as previously described [6]. The mice
were fed the normal or low-niacin diet for 15 or 17 days (D0–D15 or D0–D17). Germ-free
Balb/c and their control counterparts were obtained from CLEA Japan, Inc. (Tokyo, Japan)
to investigate the role of the gut microbiota in the profile of oxidised fatty acids
(oxFAs) in tissue.All animal experiments were conducted in accordance with the ARRIVE guidelines (Animal
Research: Reporting In Vivo Experiments) [14].
Procedures of the animal experiments
As previously reported [15], antibiotic-treated
animals were provided ampicillin (1 g/L; Sigma Aldrich, St. Louis, MO, USA), vancomycin
(0.5 g/L; Sagent Pharmaceuticals, Schaumburg, IL, USA), neomycin (0.5 g/L; Thermo Fisher
Scientific, Waltham, MA, USA), gentamycin (100 mg/L; Sigma Aldrich), and erythromycin
(10 mg/L; Sigma Aldrich) in drinking water for 15 days beginning at 6 weeks of age to
investigate the role of the gut microbiota in the development of pellagra-related nausea
(Fig. 1a). Mice received the normal or low-niacin diet for 15 days to investigate the role
of a low-niacin diet on the development of mild pellagra or on the gut microbiota (Fig. 1b). After mice were fed the low-niacin diet
for 15 days, they were kept under the normal diet for 2 days to investigate whether the
effect of the low-niacin diet was transient (Supplementary Fig. 1a).
Fig. 1.
Study procedures. The black arrow indicates mice on the normal diet. The red arrow
indicates mice on the low-niacin diet. The experiments started on day 0 (D0). (a)
The solid line indicates mice not treated with antibiotics, and the dotted line
indicates those treated with antibiotics. Faeces and urine were harvested on D15.
(b) Livers were harvested on D13. Faeces and ears were harvested on D15. Four or
five mice in each group were housed in plastic cages under appropriate
conditions.
Study procedures. The black arrow indicates mice on the normal diet. The red arrow
indicates mice on the low-niacin diet. The experiments started on day 0 (D0). (a)
The solid line indicates mice not treated with antibiotics, and the dotted line
indicates those treated with antibiotics. Faeces and urine were harvested on D15.
(b) Livers were harvested on D13. Faeces and ears were harvested on D15. Four or
five mice in each group were housed in plastic cages under appropriate
conditions.To investigate the effect of the low-niacin diet on the profile of the gut microbiota or
tissue levels of oxFAs, faeces and ears were harvested immediately from 16 days onwards
after the experiments began. These samples were stored at −80°C or in liquid nitrogen for
later analysis of the gut microbiota and lipid production. To investigate whether the
effect of the low-niacin diet was a transient or plastic response, faeces and ears were
harvested from 18 days onwards. These samples were stored at −80°C or in liquid nitrogen
for later analysis of the gut microbiota and the amount of lipids.Urinary samples were collected from all mice each day and stored at −80°C for later
analysis of tryptophan–nicotinamide pathway metabolites. Briefly, each mouse was
administered saline once daily for 5 days starting at 10 days after the start of feeding
of the normal or low-niacin diet. At 3 hr after saline administration, each mouse was
moved to a 500-mL glass beaker, and urine was harvested from the mice within 5 min.
Histopathological analyses
Paraffin sections were prepared from skin (ear) samples obtained from Balb/c mice that
were fed a normal or low-niacin diet as previously described [16]. The sections were stained with haematoxylin and eosin and/or
acidic toluidine blue for histopathological analysis by light microscopy.
Analysis of the gut microbiome
Faeces were collected in 2-mL tubes (ST-0250F-0, Yasui Kikai, Osaka, Japan) with
Metalcorn (MC-0218R(S), Yasui Kikai), freeze-dried using a freeze dryer (VD-250R; Taitec,
Koshigaya, Japan), and crushed using a Multi-beads Shocker (MB2000, Yasui Kikai) at
1,500 rpm for 2 min at room temperature. DNA was extracted and purified from the crushed
faeces in accordance with the procedures of ISOSPIN Fecal DNA (Nippon Gene, Tokyo, Japan)
and MPure Bacterial DNA Extraction (MP Bio Japan, Tokyo, Japan) kits. A DNA library was
then constructed using two-step tailed polymerase chain reaction (PCR) methods. The
sequences of the first primers for the first PCR were ACA CTC TTT CCC TAC ACG ACG CTC TTC
CGA TCT NNN NNC CTA CGG GNG GCW GCA G (5′-3′) and GTG ACT GGA GTT CAG ACG TGT GCT CTT CCG
ATC TNN NNN GAC TAC HVG GGT ATC TAA TCC (5′-3′). The sequences of the first primers for
the second PCR were ATT GAT ACG GCG ACC ACC GAG ATC TAC AC -INDEX2- ACA CTC TTT CCC TAC
ACG ACG C (5′-3′) and CAA GCA GAA GAC GGC ATA CGA GAT -INDEX1- GTG ACT GGA GTT CAG ACG TGT
G (5′-3′). The quality of the constructed libraries was checked using a Fragment Analyzer
(BioTek, Winooski, VT, USA) and dsDNA 915 Reagent Kit (Agilent, Santa Clara, CA, USA) and
analysed using a MiSeq system and MiSeq Reagent Kit v3 (Illumina, San Diego, CA, USA;
Supplementary Table 3). Each read sequence was extracted when the beginning of the
sequence exactly matched the primer used. The primer sequence was then deleted from the
extracted sequence, and read sequences with the appropriate quality were selected and
joined with others having at least 10-bp overlap.
Analysis of skin epoxyeicosatrienoic acid, hydroxyeicosatetraenoic acid, and
prostaglandin levels
Harvested ears were immediately moved to liquid nitrogen, dried using a freeze dryer
(VD-550R, Taitec, Kumagaya, Japan), and stored at −80°C until lipid extraction to
investigate the tissue levels of prostaglandin E2, epoxyeicosatrienoic acid (EET), and
dihydroxyeicosatrienoic acid in accordance with previous studies [16, 17]. In some experiments,
harvested ear samples were directly stored at −80°C.
Analysis of gene expression in the liver
Each liver was harvested at 13 days after the beginning of the experiments to investigate
the cause of pre-pellagra. Total RNA from the liver was extracted using TRIzol reagent
(Invitrogen, Carlsbad, CA, USA) with a standard procedure in accordance with the
manufacturer’s instructions. After the extraction, the quantity of RNA was determined
using a Quantus Fluorometer (Promega, Madison, WI, USA) and QuantiFluor RNA system
(Promega). The quality of RNA was determined using a 5200 Fragment Analyzer System
(Agilent Technologies, Santa Clara, CA, USA) and Agilent HS RNA Kit (Agilent
Technologies). After checking the RNA, the libraries were constructed using these RNAs in
accordance with the manufacturer’s instructions (MGIEasy RNA Directional Library Prep Set,
MGI Tech Co., Ltd., Shanghai, China). The concentrations of the libraries were measured
with a Qubit 3.0 Fluorometer (Thermo Fisher Scientific) and dsDNA HS Assay Kit (Thermo
Fisher Scientific). The quality was checked with a Fragment Analyzer (Agilent
Technologies) and dsDNA 915 Reagent Kit (Agilent Technologies). Circular DNA was then
prepared using the constructed libraries and an MGIEasy Circularization Kit in accordance
with the manufacturer’s instructions (MGI Tech Co., Ltd.). After construction, DNA
Nanoballs (DNBs) were prepared with a DNBSEQ-G400 RS High-throughput Sequencing Kit (MGI
Tech) in accordance with the manufacturer’s instructions. Sequencing analysis of these
DNBs was carried out using the DNBSEQ-GS400 under 2 × 100-bp conditions. Low-quality
sequences were omitted using the Cutadapt (ver. 1.9.1) and Sickle (ver. 1.33) tools.
Finally, we performed mapping using high-quality sequences and Hisat2 (ver. 2.2.0) and
obtained data in SAM format. Each gene, which was <50 reads in both groups of mice, was
omitted. The numbers of reads were compared between mice fed the normal diet and those fed
the low-niacin diet.
Statistical analysis
The appropriate sample size for each group was determined as previously reported [6] and found to be n=3–5 for each group. Data are
expressed as the mean ± standard error of the mean. Statistical analysis was performed
using GraphPad Prism 8 (GraphPad Software, San Diego, CA, USA). The groups were compared
using the paired t-test, Wilcoxon rank-sum test, or Tukey’s multiple comparisons
method.
RESULTS
Effect of the gut microbiota on pellagra-related nausea
We previously reported that INH treatment caused pellagra-related nausea in mice fed a
low-niacin diet but not in those fed a normal diet [6]. In the present study, mice were treated with antibiotics to investigate the
role of the gut microbiota in pellagra-related nausea. Metabolic flow from tryptophan to
1-methyl-2-pyridone-5-carboxamide (2-Py), N’-methyl-4-pyridone-3-carboxamide (4-Py), and
nicotinamide N-oxide (NNO) was observed (Fig.
2a). Some of the observed metabolites were thought to be important in our mouse model
of pellagra. An increase in BW was not observed in mice fed the normal or low-niacin diet
and treated with antibiotics compared with those not treated with antibiotics (Fig. 2b). Faeces were harvested from each group at
16 days onward, and pica, which is thought to represent human nausea, was only observed in
mice fed the low-niacin diet and treated with antibiotics (Fig. 2c). Urinary levels of 1-methylnicotinamide (MNA), NNO, 2-Py,
and 4-Py were significantly lower in mice fed the low-niacin diet, with or without
antibiotic treatment, compared with those fed the normal diet (Fig. 2d). Furthermore, higher MNA, NNO and 2-Py responses to
antibiotics were observed in mice fed the normal or low-niacin diet compared with those
not treated with antibiotics (Fig. 2d). On the
other hand, lower kynurenic acid (KA) and xanthurenic acid (XA) responses to antibiotics
were observed in mice fed the normal or low-niacin diet compared with those not treated
with antibiotics (Fig. 2e).
Fig. 2.
Effect of germ-free status on pellagra-related symptoms. (a) Metabolic flow from
tryptophan to its metabolites, with the investigated metabolites indicated in red.
Abbreviations for the niacin metabolites are as follows: kynurenic acid (KA),
xanthurenic acid (XA), nicotinic acid mononucleotide (NaMN), nicotinamide adenine
dinucleotide (NAD), nicotinamide (NAM), N1-methylnicotinamide (NMN), nicotinamide
adenine dinucleotide phosphate (NADP), N-methylnicotinamide (MNA),
N’-methyl-2-pyridone-3-carboxamide (2-Py), N’-methyl-4-pyridone-3-carboxamide
(4-Py), nicotinamide-N-oxide (NNO). (b) Growth curves (% BW change) in the normal
diet and low-niacin diet groups treated with or not treated with antibiotics (n=5).
Each comparison was carried out between mice treated with and not treated with
antibiotics and fed the same diet. ▲, Normal diet; ▼, low-niacin diet; , normal
diet + antibiotics; , low-niacin diet + antibiotics. (c) Photographs of faeces show
whether pica was observed. The image with white-coloured faeces reflects pica, which
is thought to indicate nausea in humans. (d) Urinary levels of the niacin
metabolites MNA, NNO, 2-Py, and 4-Py were determined in both groups on D15 (n=5 in
each group). (e) Urinary levels of the niacin metabolites KA and XA were determined
in both groups on D15 (n=5 in each group). The experiments were repeated twice. Each
triangle represents an individual. Data represent the mean ± standard error.
Statistical analysis was conducted as stated in the Materials and Methods
section.
Effect of germ-free status on pellagra-related symptoms. (a) Metabolic flow from
tryptophan to its metabolites, with the investigated metabolites indicated in red.
Abbreviations for the niacin metabolites are as follows: kynurenic acid (KA),
xanthurenic acid (XA), nicotinic acid mononucleotide (NaMN), nicotinamide adenine
dinucleotide (NAD), nicotinamide (NAM), N1-methylnicotinamide (NMN), nicotinamide
adenine dinucleotide phosphate (NADP), N-methylnicotinamide (MNA),
N’-methyl-2-pyridone-3-carboxamide (2-Py), N’-methyl-4-pyridone-3-carboxamide
(4-Py), nicotinamide-N-oxide (NNO). (b) Growth curves (% BW change) in the normal
diet and low-niacin diet groups treated with or not treated with antibiotics (n=5).
Each comparison was carried out between mice treated with and not treated with
antibiotics and fed the same diet. ▲, Normal diet; ▼, low-niacin diet; , normal
diet + antibiotics; , low-niacin diet + antibiotics. (c) Photographs of faeces show
whether pica was observed. The image with white-coloured faeces reflects pica, which
is thought to indicate nausea in humans. (d) Urinary levels of the niacin
metabolites MNA, NNO, 2-Py, and 4-Py were determined in both groups on D15 (n=5 in
each group). (e) Urinary levels of the niacin metabolites KA and XA were determined
in both groups on D15 (n=5 in each group). The experiments were repeated twice. Each
triangle represents an individual. Data represent the mean ± standard error.
Statistical analysis was conducted as stated in the Materials and Methods
section.
Effect of a low-niacin diet on the gut microbiota
BW did not differ between mice fed the normal diet and those fed the low-niacin diet
(Fig. 3a). Although the orders Clostridiales,
Bacteroidales, Desulfovibrionales, and
Lactobacillales dominated the bacterial compositions of both groups,
their gut microbiome profiles differed (Fig.
3b). These differences were statistically analysed according to the procedure
described in Supplementary Table 4. The delta score was significantly higher in mice fed
the low-niacin diet compared with those fed the normal diet (Fig. 3c). At the family level, the microbiomes of mice fed the
normal diet were significantly enriched with Bacteroidaceae (% frequency;
normal diet, 10.00 ± 1.60; low-niacin diet, 6.40 ± 1.61; p=0.019) and
Streptococcaceae (normal diet, 10.34 ± 2.12; low-niacin diet, 4.17 ±
0.57; p=0.001). The microbiomes of mice fed the low-niacin diet were significantly
enriched with S24-7 (normal diet, 6.36 ± 1.01; low-niacin diet, 10.54 ± 1.96; p=0.009) and
Ruminococcaceae (normal diet, 3.55 ± 0.51; low-niacin diet, 4.31 ±
0.32; p=0.044). Sixteen bacterial taxa were significantly more abundant in mice fed the
normal diet compared with those fed the low-niacin diet, including four families, four
genera, and one strain (Fig. 3d and
Supplementary Table 5).
Fig. 3.
Effect of a low-niacin diet on the gut microbiota. (a) Growth curves (% BW change)
in the normal diet and low-niacin diet groups (n=4 in each group). Each comparison
was carried out between both groups. ▲, Normal diet; ▼, low-niacin diet; ns: not
significant; *: significant (p<0.05) vs. day 0. (b) Operational taxonomic units
(OTUs) of the gut microbes were compared between mice fed the normal diet (n=4) and
those fed the low-niacin diet (n=4 in each group). The most predominant OTUs are
indicated. (c) We calculated the delta score to estimate the differences in the
bacterial profile between both groups as follows: delta score of N0-1 = (|B1n1−B1 m
| + | B2n1−B2 m | + |B3n1−B3 m | + |B4n1−B4 m | + |B5n1−B5m| + |B6n1−B6m| +
|B7n1−B7m|) (Supplementary Table 4) [39].
Each triangle represents an individual. (d) Cladogram of gut microbial taxa in mice
fed the normal or low-niacin diet. Green circles indicate increased taxa in the
normal diet group; red circles indicate increased taxa in the low-niacin diet group.
The experiments were repeated twice. Each triangle represents an individual. Data
represent the mean ± standard error. Statistical analysis was conducted as stated in
the Materials and Methods.
Effect of a low-niacin diet on the gut microbiota. (a) Growth curves (% BW change)
in the normal diet and low-niacin diet groups (n=4 in each group). Each comparison
was carried out between both groups. ▲, Normal diet; ▼, low-niacin diet; ns: not
significant; *: significant (p<0.05) vs. day 0. (b) Operational taxonomic units
(OTUs) of the gut microbes were compared between mice fed the normal diet (n=4) and
those fed the low-niacin diet (n=4 in each group). The most predominant OTUs are
indicated. (c) We calculated the delta score to estimate the differences in the
bacterial profile between both groups as follows: delta score of N0-1 = (|B1n1−B1 m
| + | B2n1−B2 m | + |B3n1−B3 m | + |B4n1−B4 m | + |B5n1−B5m| + |B6n1−B6m| +
|B7n1−B7m|) (Supplementary Table 4) [39].
Each triangle represents an individual. (d) Cladogram of gut microbial taxa in mice
fed the normal or low-niacin diet. Green circles indicate increased taxa in the
normal diet group; red circles indicate increased taxa in the low-niacin diet group.
The experiments were repeated twice. Each triangle represents an individual. Data
represent the mean ± standard error. Statistical analysis was conducted as stated in
the Materials and Methods.
Pellagra-like (pre-pellagra) responses to a low-niacin diet
Patients with pellagra tend to recover after niacin supplementation, and urinary levels
of niacin metabolites, specifically MNA and 2-Py [18], are good biomarkers for pellagra. Therefore, we investigated the urinary
levels of MNA, NNO, 2-Py, and 4-Py from both mouse groups as previously described [6]. Figure 2a
shows the metabolic flow from tryptophan to its metabolites. To collect the required
amount of urine, mice were administered 400 µL of saline before collection. Urine samples
were collected after 3 hr rather than collecting 24 hr urine samples because we were
concerned about the stability of these metabolites. We also wished to focus on rapid
metabolite responses to certain types of drugs [6].
The MNA, NNO, 2-Py, and 4-Py responses to the low-niacin diet were significantly lower
than those to the normal diet (Fig. 4a).
Fig. 4.
Effect of the low-niacin diet on urinary levels of niacin metabolites and certain
types of dermal response. (a) Urinary levels of the niacin metabolites MNA, NNO,
2-Py, and 4-Py were determined in both groups on D15 (n=5 in each group). The
experiments were repeated twice. ▲, Normal diet; ▼, low-niacin diet. (b–d)
Representative images of ear skin from mice fed the normal or low-niacin diet at
D15. Tissues were subjected to haematoxylin eosin (HE) staining (b) to evaluate the
pathology and to toluidine blue (TB) staining (c) to count the number of mast cells
(MCs) (d). Scale bars, 200 µm for HE and 100 µm for TB. Values represent the number
of MCs in one selected focus area (randomly selected). Each triangle represents an
individual (n=10). Data represent the mean ± standard error. The experiments were
repeated twice.
Effect of the low-niacin diet on urinary levels of niacin metabolites and certain
types of dermal response. (a) Urinary levels of the niacin metabolites MNA, NNO,
2-Py, and 4-Py were determined in both groups on D15 (n=5 in each group). The
experiments were repeated twice. ▲, Normal diet; ▼, low-niacin diet. (b–d)
Representative images of ear skin from mice fed the normal or low-niacin diet at
D15. Tissues were subjected to haematoxylin eosin (HE) staining (b) to evaluate the
pathology and to toluidine blue (TB) staining (c) to count the number of mast cells
(MCs) (d). Scale bars, 200 µm for HE and 100 µm for TB. Values represent the number
of MCs in one selected focus area (randomly selected). Each triangle represents an
individual (n=10). Data represent the mean ± standard error. The experiments were
repeated twice.We then performed a histopathological analysis using ears from mice fed the normal or
low-niacin diet to determine pellagra-like response because some dermal symptoms have been
observed in patients with pellagra [1,2,3,4]. Although no prominent differences were observed in
either group, the number of mast cells was significantly higher in mice fed the low-niacin
diet compared with those fed the normal diet (Fig.
4b–d). We defined this phenotype as pre-pellagra.
Tissue oxidised fatty acid levels
Skin levels of arachidonic acid (AA) metabolites, such as hydroxyeicosatetraenoic acids
(HETEs), play important roles in the development of dermatitis [16, 17, 19]. Furthermore, niacin deficiency increases the levels of
prostaglandin E synthase, which produces prostanoids, in the skin of mice and humans
[20].Ear skin samples were harvested from the mice using an 8-mm biopsy punch (Kai Industries
Co. Ltd., Gifu, Japan) and immediately frozen until use. The lipids were investigated as
previously described [16, 17]. Unexpectedly, the prostaglandin D2, prostaglandin E2, and PGF2a
levels in the skin did not differ between mice fed the low-niacin diet and those fed the
normal diet (Fig. 5a). The 8-, 9-, 11- and 15-HETE responses in the ears were significantly higher in
mice fed the low-niacin diet than in those fed the normal diet, but no clinical features,
such as oedema or erythema, were observed in either group (Fig. 5b). Finally, we analysed tissue levels of EETs to determine
whether a low-niacin diet causes quantitative changes in EETs. Ear skin from mice fed the
low-niacin diet showed significantly more EETs than those in mice fed the normal diet
(Fig. 5c).
Fig. 5.
Effect of the low-niacin diet on skin oxFA levels. Lipids were extracted from ear
skin from 15 days onwards in each group (n=5). Prostaglandins (PGs) (a), HETEs (b),
and EETs (c) were measured by liquid chromatography–mass spectrometry to investigate
the response to the low-niacin diet. ▲, Normal diet; ▼, low-niacin diet. Each
triangle represents an individual. Data represent the mean ± standard error.
Statistical analysis was conducted as stated in the Materials and Methods. The
experiments were repeated twice.
Effect of the low-niacin diet on skin oxFA levels. Lipids were extracted from ear
skin from 15 days onwards in each group (n=5). Prostaglandins (PGs) (a), HETEs (b),
and EETs (c) were measured by liquid chromatography–mass spectrometry to investigate
the response to the low-niacin diet. ▲, Normal diet; ▼, low-niacin diet. Each
triangle represents an individual. Data represent the mean ± standard error.
Statistical analysis was conducted as stated in the Materials and Methods. The
experiments were repeated twice.
Effects of the gut microbiota on skin fatty acid metabolite levels
Ears harvested from germ-free and control mice were used to investigate the role of the
gut microbiota on skin levels of oxFAs. Significantly higher 9-HETE, 12-HETE, 15-HETE,
16-HETE, 5,6-EET, 8,9-EET, 11,12-EET, and 14,15-EET responses were observed in germ-free
mice compared with those in control mice (Fig.
6).
Fig. 6.
Skin oxFA levels in germ-free and control mice. The values indicate the percentage
change in skin oxFA levels relative to the mean for the normal diet in each group
(Balbc mice). ▲, Control; ▼, germ-free mouse. Each triangle represents an
individual. Data represent the mean ± standard error. Statistical analysis was
conducted as stated in the Materials and Methods. The experiments were repeated
twice.
Skin oxFA levels in germ-free and control mice. The values indicate the percentage
change in skin oxFA levels relative to the mean for the normal diet in each group
(Balbc mice). ▲, Control; ▼, germ-free mouse. Each triangle represents an
individual. Data represent the mean ± standard error. Statistical analysis was
conducted as stated in the Materials and Methods. The experiments were repeated
twice.
Gene expression profile
Harvested liver samples from mice fed the normal or low-niacin diet were used for
analysis of gene expression to better understand the mechanism of how low-niacin diet
affects the development of mild pellagra. Table
1 shows the top 50 genes sorted by the significance of p values. The gene
expression of Cyp enzymes and Elovl6 differed significantly between mice fed the normal
diet and those fed the low-niacin diet. These genes are thought to be involved in fatty
acid metabolism.
Table 1.
Comparison of gene expression in the liver between mice fed the normal diet and
those fed the low-niacin diet
Gene
Gene ID
Normal
Low niacin
Log2 (fold change)
p-value
Dmbt1
NM_001347632
1,335
182
−2.87
0.00000
Mup1
NM_001163011
944
148
−2.67
0.00000
Pnpla3
NM_054088
64
517
3.01
0.00000
Serpina4-ps1
NR_002861
960
235
−2.03
0.00000
Cyp4a32
NM_001100181
1,178
327
−1.85
0.00000
Fasn
NM_007988
1,282
5,655
2.14
0.00000
Mup9
NM_001281979
4,435
1,499
−1.56
0.00000
Gm2788
NR_155436.1
713
206
−1.79
0.00000
Acly
NM_134037
1,037
4,391
2.08
0.00000
Cyp4a14
NM_007822
3,317
1,155
−1.52
0.00000
Insig1
NM_153526
2,202
8,757
1.99
0.00000
Slc25a30
NM_026232
755
237
−1.67
0.00000
Mup17
NM_001200006
19,758
7,406
−1.42
0.00000
Mup13
NM_001347134
1,122
391
−1.52
0.00000
Mup7
NM_001347129
1,003
357
−1.49
0.00000
Elovl6
NM_130450
1,272
4,698
1.88
0.00000
Vnn1
NM_011704
500
162
−1.63
0.00000
LOC115486422
XR_882082
373
114
−1.71
0.00000
Mup2
NM_001286096
1,776
704
−1.33
0.00000
Hsd3b5
NM_008295
221
61
−1.86
0.00000
Mup11
NM_001164526
2,628
1,103
−1.25
0.00000
Mup15
NM_001200004
1,398
579
−1.27
0.00001
Acot1
NM_012006
331
112
−1.56
0.00001
Socs2
NM_001168655
317
109
−1.54
0.00001
Nlrp12
NM_001033431
515
204
−1.34
0.00002
Rab30
NM_029494
429
166
−1.37
0.00002
Mup8
NM_001347131
455
181
−1.33
0.00003
8030431J09Rik
XR_866592
422
1,361
1.69
0.00003
Cyp51
NM_020010
401
1,285
1.68
0.00004
G0s2
NM_008059
1,674
781
−1.10
0.00004
Bold type is considered to be involved in fatty acid metabolism.
Bold type is considered to be involved in fatty acid metabolism.
DISCUSSION
In this study, we found that the gut microbiota plays an important role in the development
of pellagra and that pellagra induced by a low-niacin diet may also play a role in the gut
microbiota. The gut microbiota may be directly involved in some dermal responses in our
mouse model. A conceptional scheme of how niacin in involved in pellagra is shown in Fig. 7. Importantly, control of the gut microbiota might be a therapeutic target for
pellagra because the changes in the gut microbiota profile caused by a low-niacin diet are
transient (Supplementary Fig. 1). Interestingly, the gut microbiota responses to the diets
were quicker than those of oxFAs. Furthermore, the urine levels of metabolites responded to
the diets the quickest (Supplementary Fig. 1).
Fig. 7.
Schema of how niacin is involved in pellagra. A low-niacin diet causes bacterial
changes in the gut, which might play a role in skin oxFAs levels, and other changes to
the gut microbiota. Continuous and sequential responses of the gut microbiota might
have an important role in the course of pellagra.
Schema of how niacin is involved in pellagra. A low-niacin diet causes bacterial
changes in the gut, which might play a role in skin oxFAs levels, and other changes to
the gut microbiota. Continuous and sequential responses of the gut microbiota might
have an important role in the course of pellagra.Previous studies showed that bacterially produced vitamin B6 [13, 16], which is important for
producing niacin, was insufficient to sustain the metabolism of the gut microbiota [11, 12]. These
studies reported that vitamin B6 deficiency reduced the relative abundance of
Bacteroidaceae and increased that of Lachnospiraceae.
These results are mostly consistent with our results, indicating that a deficiency of
vitamin B, including niacin, might significantly affect the host’s gut microbiota.
Furthermore, pellagra-related pica was observed in germ-free mice fed the low-niacin diet,
although pica was not observed in non-germ-free mice fed the fed low-niacin diet or in
germ-free mice fed the normal diet. These findings suggest that abnormal intake of niacin
via food or bacteria might be the trigger that causes pellagra. Curiously, the urine levels
of niacin metabolites in mice treated with antibiotics were elevated as compared with those
not treated with antibiotics. In addition, no weight gain with growth was observed in the
treated mice. The above suggests that NAD synthesis from tryptophan, which is essential for
maintaining the body, is prioritized, and this may be a seemingly contradictory result.
Upper metabolites such as KA and XA in the tryptophan-NAM pathway are derived from
non-hepatic tissue [21]. Urine levels of KA and XA in
mice treated with antibiotics were significantly lower compared with those not treated with
antibiotics which might indicate that almost all the tryptophan was used up to produce NAD
in the liver.In contrast to our prediction, the BW loss in mice fed the normal diet and treated with
antibiotics was more severe compared with that in those fed the low-niacin diet (Fig. 2). After the experiments, we compared the
stomach contents between the groups. We found more paper containing water in the stomachs of
mice with pica, which could explain why the mice did not lose more weight than expected.Nicotinamide and nicotinic acid, which are biosynthesised from tryptophan in the liver
[22], are generically referred to as niacin. Some
developing countries, such as Malawi, are thought to have a higher incidence of secondary
pellagra than most developed countries [23], partly
because Malawians rely on maize as a staple food and maize is a cause of niacin deficiency.
However, we believe that there are many unrecognised patients with pellagra in developed
countries. As an example of this, the nausea caused by INH appears to be like that caused by
pellagra [6] and was originally not thought to be
related to pellagra. Furthermore, some phenotypes of pirfenidone-related adverse effects,
such as photosensitivity and nausea, appear to resemble those of pellagra. Currently, we are
investigating whether these phenotypes are pellagra-like using our model mice [24, 25].The World Health Organisation and Food and Agricultural Organization recommend consuming
11–12 mg of niacin daily [26]. Interestingly, some
gut bacteria synthesise vitamin B3 from tryptophan [10, 27]. Therefore, vitamin B3 derived from
the host, food, and commensal bacteria is important for maintaining homeostasis in the host.
In this study, urinary levels of niacin-related metabolites and skin oxFA levels in mice fed
the low-niacin diet recovered after their microbiota profiles were altered. We consider a
low-niacin diet to initially affect the gut microbiota and then change tissue oxFA levels
and urinary levels of niacin metabolites (Fig. 7).
Eventually, the gut microbiota might be a therapeutic target for pellagra-like symptoms.Some types of dermatitis, such as photosensitivity, are major symptoms of pellagra [1,2,3]. Additionally, skin levels of AA metabolites, such as
HETEs, play important roles in the development of dermatitis [16, 17, 19]. Furthermore, niacin deficiency increases the levels of prostaglandin
E synthase, which produces prostanoids, in the skin of mice and humans [20]. The discrepancy between these previous findings and
the findings of the present study may be the result of the different methods used to induce
niacin deficiency. Previous authors used a niacin antagonist [20], whereas we used a low-niacin diet to induce mild pellagra or
pre-pellagra. Previous studies showed that 15-HETE had a therapeutic effect on psoriasis
[28] and inhibited T-cell proliferation and
leukotriene B4 synthesis [29,30,31]. These results appear to be
conflicting, as there were significant amounts of bioactive lipids but no dermatological
symptoms, except for an increase in skin mast cells. A low-niacin diet causes mild
dermatitis or pre-dermatitis, and consequently, the HETE response is believed to be a
biological response for homeostasis. Further analysis of these responses is required.
Finally, niacin modulates transient receptor potential vanilloid 4 [32], which plays an important role in the development of dermatitis,
fibrosis, and pain [33,34,35,36]. Chronic deficiency of an endogenous modulator due to a low-niacin
diet might cause quantitative changes in endogenous ligands, which are thought to be EETs
[37], to maintain host homeostasis via transient
receptor potential vanilloid 4. Dermal responses to excess niacin through AA metabolites
have been previously reported [38]. In this study,
the expression levels of genes that appeared to be involved in fatty acid metabolism were
altered by the low-niacin diet (Table
1). Changes in the gut microbiota caused by a low-niacin diet may
affect AA metabolites (Fig.
3) [39]. Although the
dermal responses to reduced niacin remain unclear, we believe that our results are important
for better understanding the relationship between niacin deficiency and the dermal response
to it via the gut microbiota (Fig. 7).Treatment of germ-free mice with antibiotics is too severe a model to understand the actual
mechanisms in patients with pellagra. Our investigations were based on in
vivo mouse experiments and not investigations in humans. The purchased germ-free
mice, which had been bred in isolators that fully blocked exposure to microorganisms, could
not be raised aseptically in our animal room because we did not have sufficient space to
house them. Even with all the limitations listed above for our study, we believe that we
successfully achieved a mouse model of pellagra induced by feeding a low-niacin diet, as
shown by the results for the gut microbiota. Investigating the therapeutic or beneficial
roles of the microbiota in treating patients with pellagra is challenging, but our findings
could be useful. We intend to investigate the putative cause of pellagra using our mouse
model in the future.
DATA AVAILABILITY
The raw metagenomic reads used in this study were uploaded to the DDBJ Sequence Read
Archive (https://www.ddbj.nig.ac.jp/dra/index.html).