Arjan Pol1, G Herma Renkema2, Albert Tangerman3, Edwin G Winkel4,5, Udo F Engelke2, Arjan P M de Brouwer6, Kent C Lloyd7, Renee S Araiza8, Lambert van den Heuvel2,9, Heymut Omran10, Heike Olbrich10, Marijn Oude Elberink2, Christian Gilissen6, Richard J Rodenburg2,9, Jörn Oliver Sass11, K Otfried Schwab12, Hendrik Schäfer13, Hanka Venselaar14, J Silvia Sequeira15, Huub J M Op den Camp1, Ron A Wevers16. 1. Department of Microbiology, IWWR, Faculty of Science, Radboud University, Nijmegen, The Netherlands. 2. Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud University Nijmegen Medical Centre (RUNMC), Nijmegen, The Netherlands. 3. Department of Internal Medicine, RUNMC, Nijmegen, The Netherlands. 4. Center for Dentistry and Oral Hygiene, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands. 5. Clinic for Periodontology, Amsterdam, The Netherlands. 6. Department of Human Genetics, RUNMC, Nijmegen, The Netherlands. 7. Department of Surgery, School of Medicine, and Mouse Biology Program, University of California, Davis, Davis, CA, USA. 8. Mouse Biology Program, University of California, Davis, Davis, CA, USA. 9. Department of Pediatrics, RUNMC, Nijmegen, The Netherlands. 10. Klinik für Kinder und Jugendmedizin, Universitätsklinikum Münster, Münster, Germany. 11. Bioanalytics and Biochemistry, Department of Natural Sciences, Bonn-Rhein-Sieg University of Applied Sciences, Rheinbach, Germany. 12. Department of Pediatrics and Adolescent Medicine, University Hospital Freiburg, Freiburg, Germany. 13. School of Life Sciences, University of Warwick, Coventry, UK. 14. Centre for Molecular and Biomolecular Informatics, RUNMC, Nijmegen, The Netherlands. 15. Metabolic Unit-Pediatric Department, Hospital de Dona Estefânia, CHLC, Lisbon, Portugal. 16. Translational Metabolic Laboratory, Department of Laboratory Medicine, Radboud University Nijmegen Medical Centre (RUNMC), Nijmegen, The Netherlands. ron.wevers@radboudumc.nl.
Abstract
Selenium-binding protein 1 (SELENBP1) has been associated with several cancers, although its exact role is unknown. We show that SELENBP1 is a methanethiol oxidase (MTO), related to the MTO in methylotrophic bacteria, that converts methanethiol to H2O2, formaldehyde, and H2S, an activity not previously known to exist in humans. We identified mutations in SELENBP1 in five patients with cabbage-like breath odor. The malodor was attributable to high levels of methanethiol and dimethylsulfide, the main odorous compounds in their breath. Elevated urinary excretion of dimethylsulfoxide was associated with MTO deficiency. Patient fibroblasts had low SELENBP1 protein levels and were deficient in MTO enzymatic activity; these effects were reversed by lentivirus-mediated expression of wild-type SELENBP1. Selenbp1-knockout mice showed biochemical characteristics similar to those in humans. Our data reveal a potentially frequent inborn error of metabolism that results from MTO deficiency and leads to a malodor syndrome.
Selenium-binding protein 1 (SELENBP1) has been associated with several cancers, although its exact role is unknown. We show that SELENBP1 is a methanethiol oxidase (MTO), related to the MTO in methylotrophic bacteria, that converts methanethiol to H2O2, formaldehyde, and H2S, an activity not previously known to exist in humans. We identified mutations in SELENBP1 in five patients with cabbage-like breath odor. The malodor was attributable to high levels of methanethiol and dimethylsulfide, the main odorous compounds in their breath. Elevated urinary excretion of dimethylsulfoxide was associated with MTO deficiency. Patient fibroblasts had low SELENBP1 protein levels and were deficient in MTO enzymatic activity; these effects were reversed by lentivirus-mediated expression of wild-type SELENBP1. Selenbp1-knockout mice showed biochemical characteristics similar to those in humans. Our data reveal a potentially frequent inborn error of metabolism that results from MTO deficiency and leads to a malodor syndrome.
Volatile sulfur-containing compounds hydrogen sulfide (H2S),
methanethiol (MT, CH3-SH) and dimethylsulfide (DMS,
CH3-S-CH3) have been identified as the main contributors
of halitosis or bad breath 1. The origin of
halitosis can be intra- or extra-oral 2–4. Intra-oral halitosis
is the most common form usually caused by MT and H2S produced by
Gram-negative bacteria located on the dorsum of the tongue or in gingival- and
periodontal crevices. Extra-oral halitosis has an estimated prevalence of 0.5-3% in
the general population 2. Its origin is less
well understood. Extra-oral bad smelling breath can be caused by conditions
affecting the nose, sinuses, tonsils, and esophagus, but evidence indicates that in
some patients the extra-oral halitosis is blood-borne 3. In blood-borne halitosis malodorant compounds, most commonly DMS, are
carried to the lungs where they enter the breath 3. Mouth and nose breath DMS concentrations of these patients showed a
five- to six-fold increase compared to controls 2. The cause for increased DMS levels in these patients is unknown. DMS
is produced from MT by methylation. Both compounds result from the complex
microbiome-mammalian co-metabolism of volatile sulfur compounds (Figure 1) 5,6. Under physiological
conditions MT has three sources in the human body 7,8: production from sulfur
containing amino acids by intestinal bacteria; formation within intestinal cells by
methylation of H2S by thiol S-methyltransferase; biosynthesis from
methionine by the transamination pathway in human endogenous metabolism. Under
pathological conditions, it has been found that increased levels of DMS can lead to
high concentrations of dimethylsulfoxide (DMSO) and dimethylsulfone
(DMSO2) 9. The
enzymes involved in these conversions are largely unknown and a contribution of the
gut bacteria is expected 5,6. Interestingly cancer patients were found to
produce MT and DMS as prominent volatile organic compounds 10,11. DMS is produced
in significant amounts by lung- and liver cancer cell lines 10,12 and was found in
lung tumor tissue13.
Figure 1
Sulfur metabolism
Diet, bacterial metabolism and endogenous metabolism contribute to the levels of
MT, DMS, DMSO and DMSO2 and catabolites in the body. The main
conversion of MT to H2O2, formaldehyde and H2S
by the enzyme MTO (indicated by the cross) is deficient in the patients. The
lower part shows the MTO reaction. All underlined metabolites have been
confirmed in our assay.
Recently, a methanethiol oxidase (MTO) was purified from the
Hyphomicrobium strain VS 14,15. The gene encoding this
enzyme was identified and showed 26% homology at the protein level to the human
SELENBP1 gene, encoding a protein possessing selenium binding
properties but with unknown function 16–18. Reduced expression
of the human gene has been found in several tumors, and a tumor suppressor function
has been suggested 19–21. We hypothesized that mutations in
SELENBP1 could be causative for extra-oral halitosis. We
studied five patients with extra-oral halitosis caused by elevated levels of DMS in
the blood. We identified SELENBP1 as the human MTO, catalyzing the conversion of MT
into formaldehyde, H2S and hydrogen peroxide
(H2O2). Mutations in SELENBP1 cause
extra-oral halitosis and define a novel inborn error of metabolism.
Results
Extra-oral halitosis patients
We studied five patients from three unrelated families with extra-oral
halitosis with a cabbage-like odor (Figure
2A). The patients had high levels of DMS in their mouth- and nose
breath. Known causes, such as intake of DMS containing food, use of
sulfur-containing medication, lower gastrointestinal problems, known metabolic
defects such as methionine adenosyltransferase deficiency and tyrosinemia were
excluded. Family A is a German family of Turkish origin with two affected
children (AII-2 and AII-3), family B is Portuguese with one affected child
(BII-2), and family C is a Dutch family with two affected children (CII-1 and
CII-2). The unifying clinical feature was the pungent malodor from the breath.
Other clinical signs and symptoms of the patients differed considerably (for a
full description see Supplementary Note). The two patients in the Dutch family are from a
non-consanguineous marriage and the malodor was their only clinical symptom. The
mother of patients CII-1 and CII-2 had some complaints of halitosis. The parents
of the other patients were consanguineous. The female patient in family A had
malodor as only symptom while her brother had a broader spectrum of clinical
symptoms with neurological features. The Portuguese patient also had
neurological sequelae.
Figure 2
Extra-oral halitosis families
Panel A, Schematic representation of the family trees of the affected families.
Double horizontal line in families A and B indicate consanguineous marriages.
Dark symbols represent affected individuals, crossed out symbols are deceased
individuals.
Panels B and C, One-dimensional 1H-NMR spectroscopy of human plasma
measured at pH 2.50. Plasma from patient CII-2 (B) and a control sample (C). The
spectra illustrate the increased concentration of DMSO2 in the
patient. For quantitative data see Table
1B.
Breath and body fluid analyses
Breath and body fluid analyses used complementary methods (NMR
spectroscopy, gas-chromatography) (Table
1). Because of the malodor body fluid NMR spectroscopy was requested
in the index patients of the three families. NMR showed the presence of
increased concentrations of DMSO and DMSO2 in their body fluids
(Figures 2 B and C).
Table 1
MT, DMS, DMSO and DMSO2 levels in patients.
A
MT(ppb)
DMS(ppb)
Breath
Ref.
0.05
+/- 0.05 (range 0.01–0.24)
6.1
+/- 4.5 (range 1-19)
AII-2
-
154/201
AII-3
2.6
251/246/200
BII-2
-
184
CII-1
-
30/34
CII-2
2.3
40/67/104
B
DMS(nM)
DMSO(μM)
DMSO2(μM)
Blood
Ref.
< 7
< 1
<1-24
AII-2
192
-
-
AII-3
191/242
6
68
BII-2
185
4
36
CII-1
164
-
-
CII-2
156
-
-
CSF
Ref.
< 10
< 1
<1-25
AII-3
104/114
8
112
BII-2
-
8
41
DMS(nM)
DMSO(μmol/mmol Cr)
DMSO2(μmol/mmol Cr)
Urine
Ref.
<10
< 1
3-18
AII-2
194
30
54
AII-3
71-194**
31
47
BII-2
265/480
10
60
CII-1
-
4
31
CII-2
-
4
28
MT and DMS were measured using gas-chromatography and DMSO and
DMSO2 were measured with NMR spectroscopy. Numbers separated
by “/” are measurements on separate days. -, not
determined.
Panel A: MT and DMS levels measured in exhaled breath. Reference
ranges were obtained from 20 control persons sampled arbitrarily throughout
the day (given as mean ± 1 SD and as well as range). The values from
individual persons fluctuated during the day (up to a factor of 10), these
values are all included in the reference range. The DMS reference range
corresponds to the range previously published 2,53.
Panel B: DMS, DMSO and DMSO2 levels in body fluids of the
affected patients and controls. Reference ranges for DMSO2 have
been described in Engelke et al 9. DMS
was measured in blood, DMSO and DMSO2 in plasma. **: range of
measurements on different time points during the day.
Using gas-chromatography with a sulfur detector an increased
concentration of an additional sulfur-containing compound, DMS, was detected
(Table 1B). Increased DMS
concentrations in blood have been described in patients with extra-oral
halitosis 3,4. DMSO2 is an oxidation product of DMS. Increased
DMSO2 concentrations have been observed in blood of patients with
methionine adenosyltransferase deficiency 9. DMSO2 also occurs in cerebrospinal fluid after
DMSO2 intake as dietary supplement 22. Additional investigations on breath samples of patients
AII-3 and CII-2 revealed increased levels of a fourth sulfur-containing
compound, MT. The MT concentration in breath of these patients was ten times
higher than the highest value in control persons and unaffected family members.
Specialized dental clinics may use portable gas chromatography to detect this
specific form of halitosis (see breath analysis of CII-2, Supplementary Figure 1).
We detected increased MT levels in urine in some of our patient samples. Because
MT is highly volatile and reactive, reproducible quantification of urinary MT
was impossible.Patient BII-2 was treated for five days with the antibiotic Metronidazol
(500 mg oral; three times/day). The concentration of DMS in breath decreased to
just above the detection limit. DMS and MT in urine decreased to 65% after 5
days of Metronidazol. After cessation, the DMS levels in breath and urine
returned to values before treatment. In patient AII-3 a methionine loading trial
was performed. Initial levels of 18 and 129 μmol/mmol creatinine for DMSO
and DMSO2 rose to 67 and 178, respectively at 12 h after loading. At
20 h the levels were still increased (48 and 152). These data are in line with a
significant contribution of the microbiome and as well of methionine metabolism
to the breath- and body fluid concentration of MT, DMS and its further oxidation
products DMSO and DMSO2 in the patients.
Mutational analysis of SELENBP1
Based on the profile of accumulating sulfur-containing compounds in our
patients we postulated a defect in a pathway that would result in the
accumulation of DMS. We hypothesized that defects in MT-oxidation would lead to
increased levels of MT and lead to an alternative metabolism resulting in
increased DMS, DMSO, and DMSO2 (Figure
1). MT degrading enzymes are not known in humans, but methanethiol
oxidases (EC 1.8.3.4.) have been purified from Hyphomicrobium
strain EG 23 and Thiobacillus
thioparus TK-m 24. Recently
a gene, mtoX, was found in Hyphomicrobium
strain VS encoding a protein with MTO activity 15. BLAST searches of the human protein database using the
Hyphomicrobium strain VS MTO amino acid sequence yielded a
single hit, selenium-binding protein 1 (SELENBP1/SBP1/hSBP/SBP56), with a
sequence identity of 26% and homology of 54% (Supplementary Figure 2).
The gene encoding this candidate protein, SELENBP1 is located
on chromosome 1 (151.364.302-151.372.734), and lies within a linkage interval
with a LOD-score of 1.8 found in family A. The protein is well conserved in the
three domains of life from human to bacteria and archaea (Figure 3A). Subsequent SELENBP1 Sanger
sequencing showed 4 different bi-allelic mutations in our 5 patients (Table 2). Segregation with the malodour was
confirmed in the three pedigrees.
Figure 3
Analysis of missense mutations in SELENBP1
Panel A, Neighbor-Joining phylogenetic tree of methanethiol oxidases and putative
selenium-binding proteins. The evolutionary distances were computed using the
Dayhoff matrix based method and are in the units of the number of amino acid
substitutions per site. Bootstrap values (500 replicates) are shown next to the
branches for values > 60. Evolutionary analyses were conducted in MEGA6
52.
Panel B, The SELENBP1 sequence was modeled on the X-ray structure of the
hypothetical selenium-binding protein from Sulfolobus tokodaii
(PDB ID: 2ECE). The protein forms a typical WD40 fold. The positions of the
mutations Gly225Trp (on the right) and His329Tyr (on the left) are indicated in
red.
Panel C, Detail of the amino acid changes that are found in family C. Green
residue is the original, red the replacement in the patients.
Panel D, Alignments of the regions of SELENBP1 of multiple species indicating the
conserved residues found mutated in family C. The amino acid numbering is
according to the human sequence. Asterisk indicates a fully conserved residue,
colon indicates conservation between amino acids of strongly similar properties,
period indicates conservation between amino acids of weakly similar
properties.
Table 2
Mutation analysis of SELENBP1 (NM_003944.3)
Patient
cDNA
Genomic position GRCh37*
Protein
Prediction of pathogenicity
C- score
AII-2 and AII-3
c.1039G>Thomozygous
g.151,338,044
p.Gly347*
Premature stop codon
38
BII-2
c.481+1G>Ahomozygous
g.151,340,674
Disruption of the 5’splice site of the
intron following exon 5
The four mutations were predicted to be pathogenic by the algorithms
Align GVGD, SIFT, MutationTaster, and PolyPhen-2 (Table 2). When calculated by the CADD tool, the mutations
ranked in the top 1% of most deleterious mutations (C-score ≥ 20) or even
in the top 0.1% (C-score ≥ 30) (Table
2). We have modeled the human SELENBP1 protein containing the two
mutations of family C on the X-ray structure of the hypothetical
selenium-binding protein from the archaeon Sulfolobus tokodaii
(PDB ID: 2ECE) (Figure 3B and C). Gly225Trp
is likely incompatible with the original structure since glycine-225, without
side chain, is replaced by a bulky tryptophan. Moreover, Gly225 is conserved in
methanethiol oxidases and putative selenium binding proteins from all domains of
life. For the c.985C>T mutation changing His329 to Tyr the pathogenicity
is less obvious from the structure analysis. The mutant residue is only slightly
larger and does not seem to collide with adjacent side chains but His329 is
conserved in eukaryotic orthologues and is in close proximity to a fully
conserved region (Figure 3D).
Diagnostic assay for MTO enzyme deficiency
We have developed a functional MTO enzymatic assay to prove that
SELENBP1 has MTO activity, to evaluate its biochemical characteristics and to
establish the residual activity in patients (see Online Methods and Supplementary Figure 3. MTO activity in different blood fractions of
control individuals revealed relatively high activity in erythrocyte extracts,
but with a broad range (0.04 - 6.1 nmol.μl-1.h-1,
mean 1.4, median 0.63; n=30, Figure 4A, see
Raw gel data
for full length blots of Figure 4). MTO
activity was low in leucocytes from control individuals and hardly detectable in
plasma (not shown). Erythrocytes of the patients AII-3 and CII-2 had very low
MTO activity (0.017 and 0.022 nmol.μl-1.h-1) in
line with a deficiency of the enzyme and adding to the functional role of the
SELENBP1 protein as a methanethiol oxidase.
Figure 4
Analysis of SELENBP1 expression and MTO activity in human cell lines
Panel A, MTO activity in human erythrocytes in control (n=30) versus patients
AII-3 and CII-2. Box indicates the median and the 25 - 75 percentile, whiskers
indicate the minimal and maximal value. Panel B, SELENBP1 mRNA expression in
human fetal and adult tissues. Presented as fold change in comparison to the
tissue with the lowest expression level.
Panel C, Anti-SELENBP1 Western blot analysis in HT29 (high expression) and SW480
(low expression) colon cancer cell lines. Panel D, Western blot analysis of
patient (CII-2 and AII-3) and 4 control fibroblast cell lines. Upper panel:
anti-SELENBP1. ▲, SELENBP1; △, non-specific band. Lower panel:
loading control (anti-actin).
Panel E: Progress curve of MTO activity. ▲, control fibroblast C5120);
■, patient AII-3 ●,control incubation without protein added. At t
= 0 MT was added to all samples; the arrow indicates a second addition of MT to
the control fibroblasts when the substrate was depleted, resulting in
restoration of the initial activity, indicating that the enzyme was still fully
functional.
Panel F: Lentiviral complementation of patient and control fibroblast using
SELENBP1-V5 viruses shows restoration of the MTO activity. As a control GFP-V5
encoding viruses were used. Upper panel: Western blot analysis of SELENBP1
expression (anti-SELENBP1). Middle panel: Western blot analysis of the exogenous
expressed V5 tagged proteins (closed arrowhead is SELENBP1-V5, open arrowhead is
GFP-V5). Lower panel: loading control (anti-actin).
In panels C, D and F the MTO activity of each sample is indicated below the
lanes. BG = background, below 0.5 nmol.mg
protein-1.h-1.
SELENBP1 protein and activity in cell lines
SELENBP1 mRNA was found to be ubiquitously expressed.
The highest RNA levels were found in adult tissues, mainly in kidney, duodenum,
liver, lung, and the brain (Figure 4B).SELENBP1 has been described as a tumor marker with decreased expression
in certain cancers and tumor cell lines 20,21. To correlate the
protein expression levels with our biochemical assay we analyzed colon cancer
lines with previously documented high (HT29 cells) and low
SELENBP1 expression (SW480 cells) 25. Western blot analysis of these cell lines (Figure 4C) was in agreement with published
results. MTO enzymatic activity was high in HT29 cells (4.2 nmol.mg
protein-1.h-1) and undetectable in SW480 cells, nicely
in line with expression data from literature and corresponding with Western blot
results.Fibroblast lines from patients (AII-3 and CII-2) had significantly lower
SELENBP1 protein levels than control cells (Figure
4D). MTO enzyme activity in the patient cells was not detectable
(controls: 2.6-6.6 nmol.mg protein-1.h-1). We could
demonstrate that the MTO enzyme activity in control fibroblasts is dependent on
the presence of oxygen (data not shown) and that the molar amount of
H2S formed equals the amount of converted substrate MT.
SELENBP1 has a nanomolar range Km for MT
For accurate kinetic analysis we supplemented the reaction mixture with
0.3 mg/ml of BSA, which stabilizes MTO at low protein concentrations. A kinetic
analysis with erythrocytes was performed by varying the initial MT
concentrations and measuring the initial reaction rates (Supplementary Figure 3D),
resulting in a remarkably low apparent Km value of 4.8 nM. When using
different cell and tissue sources of MTO we could measure the decrease of MT in
the headspace of the reaction down to low nanomolar amounts (Supplementary Figure
3E-G). Curve fitting resulted in similar apparent Km values
for all tested extracts.
Frequency of SELENBP1 mutations
Using data from the ExAC browser and a local dataset of 15,000 exomes we
found evidence for a possible frequency of bi-allelic pathogenic
SELENBP1 mutations of approximately 1 : 90,000
corresponding to a carrier frequency of 1 per 300 individuals (See Supplementary Note, and
Supplementary Table 1). Based on these data MTO deficiency may be a frequent
inborn error of metabolism. The frequency of extra-oral halitosis has been
estimated by Tangerman et al 2 to be
between 0.25-1.5% indicating that bi-allelic mutations in
SELENBP1 can explain a minority of extra-oral halitosis
cases.
Lentiviral complementation analysis
To further substantiate that the MTO activity depends on the presence of
SELENBP1 we performed a lentiviral complementation experiment in a patient
fibroblast cell line (Figure 4F). The cell
line of patient AII-3 and a control fibroblast line were lentivirally transduced
with either a control virus expressing V5 epitope tagged green fluorescent
protein (GFP), or a virus expressing V5-tagged wild-type SELENBP1. The exogenous
protein was expressed partly in the nucleus but mostly in the cytoplasm. The
cytoplasmic staining was not uniform but seemed to follow internal filamentous
structures (Supplementary
Figure 4). This confirms previous studies 21,26,27.Subsequently, we analyzed MTO activity in stably expressing cell lines.
The MTO activity in patient fibroblasts expressing GFP protein only and the
non-transduced cells was undetectable. In addition, little or no SELENBP1
protein was seen on Western blot. Introducing exogenous SELENBP1-V5 protein in
patient fibroblasts resulted in re-expression of SELENBP1, as detected with the
specific antiserum as well as with an anti-V5 tag antiserum. Moreover, the MTO
enzyme activity increased from undetectable to 55% of the control cell line.
SELENBP1 knockout mouse
A knockout mouse line was previously created by the Knockout Mouse
Program Project (KOMP) at UC Davis. This mouse, expressing a “knockout
(KO) first” allele of the Selenbp1tm1b(KOMP)Wtsi gene, had no
apparent phenotypic changes. MTO enzyme activity and metabolite concentrations
were measured in KO mice, heterozygous carriers and wild type mice. MTO activity
in erythrocytes of wild type mice was 1.8
nmol.μl-1.h-1, which is in the same order of
magnitude as found in human erythrocytes. MTO activity in mouse erythrocytes was
also strictly dependent on oxygen and yielded stoichiometric amounts of sulfide
(not shown).MTO activity in KO mice erythrocytes was deficient (on the limit of
detection at 0.05 nmol.μl-1.h-1) while an
intermediate activity was found in heterozygous mice (0.8
nmol.μl-1.h-1, Figure 5A). MTO enzyme activity was measured in four different
tissues (Figure 5B). The highest activity
in wild type animals was found in liver. Activity in liver and kidney was more
than tenfold higher compared to muscle and brain. In KO animals the residual
activity was <6% in all tissues compared to wild type animals
illustrating the enzyme deficiency. The affinity constant of MTO from mouse
tissue extracts (liver shown in Supplementary Figure 3G) and mouse erythrocytes (not shown)
was 4-6 nM, similar to the low apparent Km in human erythrocytes and
HT29 colon cells (Supplementary Figure 3E and F).
Figure 5
MTO activity and DMS levels in SELENBP1 KO mice
Panel A, MTO activity in erythrocyte extracts from SELENBP1 KO, heterozygous and
wild type animals (n=7 for each group). MTO activity in erythrocytes of the
SELENBP1 KO animals were at or under the level of detection.
Panel B, MTO activities were determined in homogenates of mouse tissues of both
SELENBP1 KO and wild type animals (n=3 for each tissue and each genotype). Black
symbols are plotted on the left Y-axis, open symbols on the right Y-axis. MTO
activities in the muscle and brain of the SELENBP1 KO animals were at or under
the level of detection.
Panel C, DMS levels in mouse plasma was determined from the SELENBP1 KO (n=5) as
well as heterozygous (n=4) and wild type animals (n=3).
For panels A, B and C, Boxes indicate the median and the 25 - 75 percentile,
whiskers indicate the minimal and maximal values. Statistical analysis was
performed with GraphPad Prism using a two-sided unpaired t test with
Welch's correction. ***, p<0.001; **, p<0.01; *,
p<0.05.
Panels D and E, Representative one-dimensional 1H-NMR spectroscopy of
mouse plasma samples measured at pH 2.50. Plasma from a KO animal (D) and a wild
type sample (E). The spectra illustrate the increased concentration of
DMSO2 in the SELENBP1 knock out animals.
Since the loss of MTO activity in the patients resulted in accumulation
of DMS and DMSO2 we also measured these products in blood plasma of
the mice. As MT is expected to be much lower than DMS in blood and because of
the highly volatile nature of the compound, MT quantification was not undertaken
in the small amounts of plasma available. DMS in plasma of KO mice was
significantly increased over control levels (Figure 5C). Interestingly somewhat increased plasma DMS levels were
also seen in the heterozygous mice. This implies a mild biochemical phenotype of
the gene defect in the heterozygous mice illustrating that the reduced MTO
activity cannot cope with the usual flux through this enzymatic reaction. There
was an accumulation of DMSO2 in plasma in the KO mice that was not
detectable in both the wild type mice (Figure 5D
and E; 36 μM) and the heterozygous mice (not shown). Overall
the biochemical characteristics of the patients were mimicked in the KO mouse
model.
Discussion
We describe a group of patients suffering from extra-oral halitosis. All
known causes for extra-oral halitosis, fetor hepaticus caused by liver cirrhosis
28, medicine use, cysteamine treatment in
cystinosis 29, were excluded. Also methionine
adenosyltransferase deficiency 9,30 and trimethylaminuria 3 were excluded. Our patients have increased concentrations of
four sulfur-containing metabolites in their body fluids and breath. MT and DMS have
a high odor index and are responsible for their malodor. Increased urinary excretion
of DMSO2 is characteristic and diagnostic for this form of extra-oral
halitosis. MT is known to be produced in substantial amounts by gut bacteria. We
hypothesized that the metabolic defect in our patients relates to an impairment of
MT metabolism. It was known that MT is oxidized towards H2S 7 but the enzyme, a methanethiol oxidase, had
never been found. Our data show that SELENBP1 is the long-sought human
MT-oxidase.Bi-allelic mutations in SELENBP1 are the underlying cause
for a novel autosomal recessive malodor syndrome. Mutations in
SELENBP1 had never been implicated with a genetic disorder.
Increased expression of SELENBP1 was found in blood and in
dorsolateral prefrontal cortex of schizophrenia patients 31–33.The malodor is the unifying clinical feature in our patients. It is the only
clinical feature in both patients of family C. There is consanguinity in the
families A and B. The additional neurological signs and symptoms of patients AII-3
and BII-2 but not of AII-2 may have had other causes. Whole exome analysis in family
A identified pathogenic mutations in THAP4 as a potential cause for
the neurological features in AII-3 (see Supplementary Note, for detailed Patient Description and Supplementary Figure 5). Our
data thus suggest that defects in SELENBP1 may cause a malodor
syndrome without neurological sequelae. Further studies are required to unravel the
full phenotypic consequences of SELENBP1 defects. Furne et al 34 have described a specialized detoxification
system in colonic mucosa that converts MT to appreciable amounts of H2S.
Defective mucosal detoxification of MT may lead to ulcerative colitis 34. They see a potential link with the strong
familial clustering of ulcerative colitis. Based on our findings it may be
worthwhile to investigate a potential involvement of SELENBP1 in ulcerative
colitis.SELENBP1 was first cloned by Chang 35 based on homology to the mouse selenium binding protein
(mSBP56) 17,18. Binding of selenite by SELENBP1 was suggested to occur via
cysteine-57 16. The bacterial MTOs do not
have Cys at the 57-position nor in close proximity. Therefore Selenium binding seems
not essential for MTO enzyme activity of SELENBP1. Selenite binding was found
essential for a specific interaction of SELENBP1 with the von Hippel-Lindau
protein-interacting deubiquitinating enzyme 1 26. SELENBP1 was not known to possess enzymatic activity 26. In incubations of control human fibroblasts
and erythrocytes with the MTO-substrate MT we observed a rapid conversion of MT in
time and were able to measure stoichiometric amounts of the H2S formed.
The enzymatic activity was strictly dependent on the presence of oxygen. We based
the presumed reaction formula (Figure 1) on our
results and on the homologous Hyphomicrobium strain VS enzyme for
which also H2O2 and formaldehyde were confirmed as reaction
products. The apparent Km value of the human MTO towards MT, 4.8 nM, is
very low. According to the BRENDA database there are only very few enzymes with such
a low Km value. The formation of DMS from MT is normally of minor
importance (an estimated 1% of MT is converted into DMS in control individuals 7). The high flux through the MTO reaction
becomes apparent in our patients and in the KO mouse model. In the deficiency state
an alternative metabolic pathway comes in place resulting in substantial amounts of
DMS, DMSO and DMSO2 in the body fluids of the affected individuals. This
underpins the relevance of the MTO enzyme reaction in human metabolism.Deficiency of MTO activity may have metabolic consequences. These can be
toxicity effects due to accumulating sulfur compounds. Data on toxicity of MT, DMS
and DMSO are anecdotal and only little is known about low-dose toxicity of these
compounds (36, and TOXNET). No cell
biological effects of an increased MT concentration have been documented. The MTO
enzymatic activity of the SELENBP1 protein sheds new light on this because at least
two of the products of this enzyme, H2O2 or H2S,
are biologically active molecules possessing cellular signaling functions. Decreased
availability of H2O2 or H2S may have metabolic
consequences. H2O2 is important because of its role in
cellular signaling 37. H2S is a
gaseous signaling molecule, a gasotransmitter, like nitric oxide and carbon monoxide
38. At low concentrations it acts as
mitochondrial electron donor thus stimulating electron transport in mammalian cells
5. The general effect of H2S is
cyto-protective 5 and H2S therapy
for several disorders aims at vasodilatation, antioxidant upregulation, inflammation
inhibition, and activation of anti-apoptotic pathways 38–40. At high
concentrations H2S is toxic by its known inhibition of the respiratory
chain complex IV. In view of these literature data we cannot exclude that toxic
effects of accumulating sulfur compounds or the lack of H2O2
or the gasotransmitter H2S may be causing other clinical signs and
symptoms in patients with SELENBP1 mutations than malodour only.
The low apparent Km of MTO may be important to avoid MT toxicity but also
may have a role in the gasotransmitter producing system that operates at the
nanomolar level. Three enzymes in human metabolism are known to produce
H2S. These are cystathionine β-synthase
(CBS), cystathionine γ-lyase (CSE or CGL) and
3-mercapto-pyruvate sulfur transferase (3MST) 41. Our data show that the MTO encoded by SELENBP1 is a
fourth human H2S producing enzyme. The degree to which SELENBP1
contributes to the total H2S production is so far unknown.One may speculate that the function of SELENBP1 may lie in keeping the
breath MT concentration low enabling the human nose to detect foul smell from
environmental volatile sulfur compounds. The human nose is very sensitive for MT and
DMS which have a very high odor index 3. The
sensitivity towards sulfur-containing compounds is evolutionary beneficial since
these compounds often represent ‘danger’ in the form of decaying food
sources. The low apparent Km of MTO is essential to keep the MT
concentration in the body below the odor threshold level.The presence of MTO activity in erythrocytes seems rather surprising since
red blood cells have only few functions other than transporting oxygen. The presence
of SELENBP1 protein as one of the major non-heme proteins in these cells has been
described before in the naked mole rat 42 and
in humans 33,43. Also one of the other known H2S producing enzymes, 3MST,
has been found in erythrocytes. Local H2S production in the bloodstream
may be important for vasodilatation 44,45. A second H2S producing enzyme in
the red blood cell underpins the importance of this metabolite for this cell or the
role that the erythrocyte plays in the delivery of H2S as cargo. It
remains to be established which of these two enzymes has the most important
contribution to H2S formation in the blood. We have no indications for
vascular problems in patients with MTO mutations but this is open for further
investigations.SELENBP1 is a possible biomarker for disease progression in several cancers,
such as breast-, renal cell- and colorectal cancers and others 46. It is of note that we have no indication that patients with
SELENBP1 mutations have an increased risk to develop cancer.
Low SELENBP1 mRNA or protein levels are associated with a poor
clinical cancer prognosis 46 suggesting that
SELENBP1 might be a tumor suppressor 20. In
line with a tumor suppressor role and the MTO enzymatic activity of SELENBP1 is the
observation that A549 lung cancer- and the HepG2 liver cancer cell lines produce DMS
and other volatile sulfur compounds 10,12,47.
DMS and MT were found in breath of lung cancer patients 10,11. DMS, normally
absent in lung tissue, was found in lung tumor tissue 13. MT was found increased in flatus samples of colon cancer
patients 10. Interestingly prevention of
diffusion of sulfur-containing gases from the tumour in an animal model caused a
significant decrease in tumour proliferation rate 11. The mechanism of SELENBP1 tumor suppression is largely unknown 25. The SELENBP1 interaction with the von
Hippel-Lindau protein-interacting deubiquitinating enzyme 1, which is involved in
cancer suppression may play a role 26. Also
its interaction with GPX1 (glutathione peroxidase 1), interestingly also a
selenocysteine-containing protein, may be relevant 48. Both proteins are present in erythrocytes. GPX1 is a potent
antioxidant enzyme involved in counteracting oxidative stress by reducing peroxide
to water to limit its destructive effects 49.
Several cancers have been described to have reduced GPX1 expression (reviewed by
50). Besides a tight physical
interaction, SELENBP1 and GPX1 have complex regulatory effects on each other 48. Our finding that SELENBP1 is in fact a
human MTO that produces H2O2, which is enzymatically converted
by GPX1, may shed new light on the interactions between SELENBP1 and GPX1.
Deregulation of either enzyme may cause a misbalance in local
H2O2 concentrations. The H2O2
concentration must be controlled because of its bivalent roles in both oxidative
damage as well as in cellular signaling 37.
The function of SELENBP1 in sulfur metabolism sheds new light on the tumor
suppression mechanism and the role of the local concentrations of MT, DMS and
H2S in this process. It is well known that dogs can smell the
presence of some tumors in patients 51. With
our data it is tempting to speculate that MT and DMS are the compounds that the dogs
will smell in patients with cancer.Taken together the putative tumor suppression role of SELENBP1 and the
presence of DMS in tumors nicely fit together against the background of the
enzymatic function of SELENBP1 as the long sought methanethiol oxidase.In conclusion, our experiments have identified a novel human enzyme
activity, a methanethiol oxidase. The enzyme is encoded by
SELENBP1. SELENBP1 mutations cause extra-oral
halitosis, an autosomal recessive malodor syndrome that may occur frequently in the
general population. Accumulating sulfur-containing metabolites cause the bad smell
in the patients. Theoretically this syndrome may be a treatable inborn error of
metabolism when using dietary measures. SELENBP1 has been studied as a biomarker for
several cancers. The finding that SELENBP1 has an enzymatic role in sulfur
metabolism and influences the concentration of biologically active molecules as
H2O2 and H2S may provide new clues and targets
for the cancer field.
Online Methods
Patients and data
This study adhered to the Declaration of Helsinki and written informed
consent was obtained from each individual. Full description of the patients can
be found in the Supplementary
Note.
Statistics, body fluids, cells and animal model
Statistical analysis was performed using GraphPad Prism 5.Human blood cells were obtained from anonymized samples from the Radboud
university medical center. White blood cells were obtained after dextran
gradient sedimentation. The leucocyte fraction contained lymphocytes and
granulocytes. Erythrocytes were obtained after slow centrifugation (600xg) of
heparinized blood. Plasma and white blood cells were removed and the
erythrocytes were extensively washed with PBS before being snap frozen as
pellets. The erythrocyte extracts had a protein concentration between 240-280
mg/ml. Anonymized plasma was obtained from healthy volunteers after informed
consent.The C57BL/6N- Selenbp1tm1b(KOMP)Wtsi/Mbp knockout mouse (Mus
musculus) was genetically engineered to delete the critical coding region and
create a homozygous null mutation of the Selenbp1 gene in all somatic and
germline tissues. This knockout model was generated as part of the U.S. National
Institute of Health’s Knockout Mouse Production and Phenotyping Project.
The knockout mouse line was created by the Knockout Mouse Program Project (KOMP)
at UC Davis in full compliance with all applicable laws and regulations for the
KOMP program. Animal care and use was conducted under guidelines provided by the
8th Revision of the Guide for the Care and Use of Laboratory
Animals. The care, use, and disposition of all mice used in this study were
reviewed and approved by the Institutional Animal Care and Use Committee of the
University of California at Davis. This study used both male and female
homozygous mutant mice ranging in age from 8-18 weeks of age for urine
collections, and 11-20 weeks of age for end point blood and tissue collections.
Mouse plasma samples, washed erythrocytes (as for the human erythrocytes) and
snap frozen tissue samples were sent to Nijmegen in The Netherlands by courier
and on dry ice. For the animal studies no randomization was used and no animals
were excluded from this study. The investigators were not blinded to the group
allocation of the animal samples.
NMR spectroscopy of body fluids
DMSO and DMSO2 in plasma, urine and cerebrospinal fluid (CSF)
were measured using proton NMR spectroscopy essentially as described for plasma,
CSF 9,54,55 and urine 56. The lower limit of detection for DMSO
and DMSO2 amounts to 1 μM.
GC analysis of H2S, MT and DMS
Analysis of MT for comparison of fibroblast MTO activity was done with a
Chrompack CP9001 GC that was equipped with a sulfur-specific flame photometric
detector (FPD) and a two meter glass column (four mm ID) packed with Carbopack B
HT, as described 57. In addition an
Agilent 7890B gas chromatograph (Middelburg, The Netherlands) was used, of which
the FPD detector had a lower detection limit (0.05 pmol). This allowed us to
study the MT kinetics of MTO in the low nM range. This GC had the same column of
Carbopak B HT100 fitted to the capillary inlet of the FPD detector (set at 200
°C). The empty part of the inlet side of the column was extended into the
heated GC inlet (150 °C) up to the septum to avoid any contact of sample
gas with metal parts, since MT and other volatile sulfur-containing compound are
notorious for their stickiness to metals. For both GC's the carrier gas
was nitrogen (80 ml/min). For MTO enzyme activity measurements where both
hydrogen sulfide and MT were measured the column was set at 100 °C. For
higher sensitivity desired in MTO kinetics when sulfide was trapped, the
temperature was set at 130 °C. For MT and DMS analysis in breath the
initial column temperature was set at 100 °C and after 0.5 min. increased
to 140 °C resulting in retention times of 0.6 min. for H2S,
1.4 min. for MT and 6 min. for DMS, respectively.
Analysis of MT and DMS in breath
Breath samples were collected in three Liter Tedlar bags (SKC, Procare
BV, Groningen, The Netherlands) via a tube (ID 4 mm). The end of this tube was
pierced through a 12 mm rubber stopper. This stopper was pressed against one
nostril while the other one was kept closed. The bag was filled in 2-4 goes
after a relative deep breath through the nose was taken. Each go took 5-10
seconds. For DMS analysis three ml subsamples were taken from the bag and
injected into the GC (lower limit of detection: 1 ppb). For MT analysis 400 ml
subsamples were concentrated on a Tenax tube (13 cm, 3 mm ID) that was kept in
dry ice (10 min. precooling). About 1.5 cm of the Tenax tube was sticking out
above the dry ice pellets and insulated by polystyrene, to prevent MT absorbing
at the very beginning of the Tenax. The breath subsamples were pushed manually
over the Tenax tube with a 100 ml glass syringe (with a Teflon plunger tip) at a
rate of 5 ml/sec. To trap water from the breath samples a tube (8 cm, 4 mm ID)
filled with CaCl2.2H2O was fitted in between the syringe
and the Tenax tube. The end of the Tenax tube was extended with a 40 cm empty
part that was coiled and sticking out of the dry ice. This acted as a gas
reservoir for nitrogen gas that was passed over the Tenax after the samples (15
s at 200 ml/min). To desorb the trapped MT a three ml plastic syringe (Braun
Injekt, fully polypropylene/ polyethylene, so no rubber plunger tip) was
connected to the inlet of the Tenax tube which was subsequently taken out of the
dry ice and quickly submerged completely in a hot water bath (95 °C).
After 20 s in the water bath the three ml syringe was filled quickly in this way
passing the hot nitrogen from the gas reservoir over the Tenax. The full content
of the three ml syringe was now injected into the Agilent 7890B gas
chromatograph (see above). The MT recovery of the Tenax trapping/desorbing
method described here was about 60%. Calibration of MT for this method was done
by injecting increasing amounts from a MT stock into a 15 L Tedlar bag that was
filled with 10 L of clean air. The lower limit of detection for MT for this
method was five ppt (parts per trillion). Loss of MT in Tedlar bags at room
temperature was estimated at 10-25% after one day and verified for each bag
used. Analysis was performed within 8 h (patient CII-2, loss < 10%) and
24 h (patient AII-3, loss <10%), respectively. The Tenax trapping part of
the method was similar to that described previously by Tangerman 58 who used liquid nitrogen for cooling.
The method suffers from some inherent inaccuracies and difficulties. MT absorbs
to the Teflon parts of the 100 ml glass syringe. The same syringe is used
throughout and cleaning in between samples that can differ a factor of 30 in MT
concentration is critical. The same is true for the Tedlar bags used for
collecting breath samples. The variation in gas flow rate from the syringe when
concentrating MT on the Tenax tube may cause differences in the Tenax zone (both
width and position) that is loaded with MT and will influence the desorption
behavior. Also the position of the Tenax tube in the dry ice pellets during
loading and in the hot water bath for desorption of the Tenax tube has limited
reproducibility, as has the gas flow rate during manual desorption of MT by the
three ml syringe. Reproducibility of duplicate samples from the same bag was in
general good with differences less than 20%. Only for the low ppt values close
to detection level differences could be higher, up to 50%.
Cell culture
Fibroblasts were cultured using standard procedures in M199 medium
(Gibco, Life Technologies) supplemented with 10% fetal calf serum (FCS, GE
Healthcare, Diegem, Belgium), and 100 U/ml / 100 μg/ml of
penicillin/streptomycin (P/S) (Gibco) at 37 ºC with 5% CO2.
All cell lines are routinely checked for mycoplasma infection and were only used
in experiments when negative.
Cell lysates and Western blot analysis
For protein expression analysis by SDS-PAGE and Western blot analysis
fibroblasts and colon cancer cell extracts were made by extraction in lysis
buffer (50 mM Tris.HCl (pH 7.4), 150 mM NaCl, 1 mM EDTA, 10% glycerol, 1% Triton
X-100) for 10 min. on ice and subsequent clearance (10 min., 13,000 x g).
Protein concentrations were measured using a Micro BCA protein assay kit (Thermo
Scientific) using bovine serum albumin (BSA) as a standard. Forty μg of
the total extracts were separated on 10 % SDS-PAGE. Antisera used were: anti-V5
(#R960, Invitrogen monoclonal), anti-SELENBP1 (#SAB2108611, Sigma affinity
purified rabbit polyclonal), and anti-actin (#AC-15, Novus Biologicals mouse
monoclonal). Western blot analysis was performed 2 -3 times for each experiment.
Representative results are shown in the figures. For the MTO assay the snap
frozen fibroblast and erythrocyte pellets that had been stored at -80 °C,
were resuspended in PBS and homogenized by extensive pipetting. White blood
cells were also resuspended in PBS and homogenized by sonification. The protein
concentration of the resulting homogenates ranged from 1-4 mg/ml as measured
with the Bio-Rad Protein Assay (Bio-Rad) using BSA as a standard.
Tissue extracts
Tissue samples (snap frozen and stored at -80 ºC) were thawed on
ice, chopped finely, and homogenized in Tris buffer using a tight fitting potter
(10 mM Tris.HCl pH 7.4, 250 mM sucrose, 2 mM K+- EDTA,
5.104 U/l heparin). The homogenate was centrifuged (10 min,
600xg) and stored in aliquots at -80 ºC.
Molecular genetic analysis
Total DNA was extracted using the QIAamp DNA kit (Qiagen), and all exons
and relevant splice sites were PCR amplified with primers containing the M13
forward or reverse sequence fused to a specific sequence and sequenced with M13
primers. Primer sequences are available upon request. Mutations were analyzed
using Alamut version 2.5.1 with the integrated pathogenicity prediction tools.
The Alamut splice site prediction module includes the following methods:
SpliceSiteFinder-like, MaxEntScan, MNSplicer, GeneSplicer and Human Splicing
Finder. Sequence alignment with SELENBP1 orthologues was done using the Clustal
Omega (EMBL-EBI) webtool.For frequency analysis we used the Exome Aggregation Consortium (ExAC),
Cambridge, MA (URL: http://exac.broadinstitute.org). We used the Combined
Annotation-Dependent Depletion (CADD) tool to estimate the pathogenicity of
mutations found in the ExAC browser. This tool prioritizes functional,
deleterious, and pathogenic variants across many functional categories by using
a CADD PHRED like C-score 59.
Phylogenetic analysis of methanethiol oxidases and putative selenium-binding
proteins
The evolutionary history was inferred using the Neighbor-Joining method.
The two enzymes with proven MTO activity are indicated in red. Accession numbers
are given between parenthesis. The optimal tree with the sum of branch length =
10.21887791 is shown. The percentage of replicate trees in which the associated
taxa clustered together in the bootstrap test (500 replicates) are shown next to
the branches for values > 60. The tree is drawn to scale, with branch
lengths in the same units as those of the evolutionary distances used to infer
the phylogenetic tree. The evolutionary distances were computed using the
Dayhoff matrix based method and are in the units of the number of amino acid
substitutions per site. The analysis involved 45 amino acid sequences. All
ambiguous positions were removed for each sequence pair. There were a total of
564 positions in the final dataset. Evolutionary analyses were conducted in
MEGA6 52.
SELENBP1 mRNA tissue expression analysis
The expression profile of SELENBP1 was determined as
described before 60. Primer sequences
used to detect SELENBP1 mRNA expression levels can be found in
Supplementary Table
2.
Structural analysis
The structure of the heterologically expressed hypothetical
selenium-binding protein from Sulfolobus tokodaii (st0059) was
solved by X-ray crystallography and deposited in 2007 (PDB file 2ECE). This
structure was used as a template to build a homology model of human SELENBP1
(40% identity). This model was used to study the structural details of the
Gly225Trp and His329Tyr mutations and was created and visualized using the WHAT
IF & YASARA Twinset 61,62. The figures were rendered with PovRay
(http://www.povray.org/).
Lentiviral complementation
A gateway compatible expression vector for wild type
SELENBP1 without a stop codon was purchased from PlasmID/
Harvard Medical School and recombined with the pLenti6.2V5-DEST destination
vector (Invitrogen) using the Gateway LR Clonase II Enzyme Mix (Invitrogen)
according to the manufacturer’s instructions. The resulting
pLenti6.2-SELENBP1-V5 or the control construct pLenti6.2-AcGFP-V5
(Aequorea coerulescens Green Fluorescent Protein) were used
to produce viruses for fibroblast infection and selection of stable expressing
cells as was described 63.
Immunofluorescent microscopy
For immunofluorescent detection of V5-tagged SELENBP1 the stably
transduced patient fibroblasts were grown on coverslips. The cells were fixed
using 3.3% paraformaldehyde in cell culture medium for 15 min., washed three
times with PBS and permeabilized for 15 min. with 0,5 Triton X-100 in PBS/10%
FCS. The primary antibody (anti-V5) was diluted 1:100 in PBS/10% FCS and
incubated for one hour. After extensive washing the secondary antibody
(goat-anti-mouse IgG AlexaFluor 568, Invitrogen) was diluted 1:1000 in PBS/10%
FCS and incubated for one hour. After washing the slides were mounted using
ProLong® Gold antifade with DAPI (Invitrogen). Image acquisition was
performed using a Zeiss Observer Z1with LED illumination and appropriate
emission filters.
MTO enzyme assay
MTO enzymatic activity was measured by incubating cell homogenates or
plasma in closed bottles and measuring the disappearance of added MT via
headspace GC analysis. The use of new glassware proved essential for obtaining
low and reproducible background measurements. To compare MTO activity in
fibroblast- and colon cell lines, we used three ml Exetainer vials (Labco
Limited). Cell homogenates (400-700 μl, equivalent to 0.75 - 1.85 mg of
protein) were transferred in the vials and ZnSO4 (0.2 mM final
concentration) was added to trap H2S produced by MTO. This
concentration was found not to inhibit the MTO enzymatic activity. After closing
the bottles 12-25 μl of a freshly prepared MT stock solution (0.82 mM)
was added by syringe, resulting in a MT concentration in the liquid phase of
12-23 μM. Vials were horizontally shaken at 200 rpm and 35 ºC. For
MT analysis 100 μl gas samples were taken by syringe and determined by GC
analysis. Because of the reactivity of MT, mainly oxidation into
dimethyldisulfide, we always detected low levels of MT disappearance in control
bottles without added enzyme. These rates were subtracted from experimental
rates. For MTO activity measurements in erythrocytes and mouse tissue extracts
the standard assay was performed in 250 ml screw cap serum bottles (neck size 28
mm ID). This allowed bigger gas samples to be taken for GC analysis with less
effects of changing the gas volume and septum leakage. Also background MT
disappearance was much lower. Bottles with 25 ml of PBS containing
ZnSO4 (0.2 mM) and BSA (0.3mg/ml) were closed with red rubber
septa and incubated at 350 rpm at 35 ºC. Four nmoles of MT were added,
resulting in about 50 nM in the liquid phase. For the determination of the
reaction stoichiometry and the oxygen dependency higher MT concentrations were
used (20 - 75 nmoles, giving 250-950 nM MT in the liquid). After preincubation
with MT for 15 - 20 min. the MTO reaction was started by the addition of
erythrocytes or tissue extracts which were diluted in 1 ml PBS. Gas samples (1
ml) were taken every 1.5 - 4 min. for GC analysis. The lower limit of detection
for MTO activity in erythrocytes was 0.01 nmol.μl
-1.h-1, in fibroblasts 0.5 nmol.mg
protein-1.h-1 and in mouse tissue extracts 1 nmol.mg
protein-1.h-1. To study the kinetics of MTO in
erythrocytes and colon cells the assay was scaled up to 500 ml serum bottles
with 50 ml PBS. The amount of MTO added was adjusted in a way to obtain a
reliable MT consumption rate over a period of about 10 -20 min.At the end of the incubations with fibroblasts Zn-trapped H2S
was released by the addition HCl to a final concentration of 0.1M using a
syringe and shaking the bottles for ten min. at 25 ºC to reach gas-liquid
equilibration for H2S. The resulting H2S concentration was
determined in the headspace by GC analysis. Total H2S was calculated
by assuming a gas/liquid concentration ratio for H2S of 1 : 2.47
which was calculated from reported solubility data 64. Addition of Zn traps the H2S that otherwise
builds up in time and inhibits the MTO enzyme reaction.The gas/liquid ratio for the concentration of MT in PBS at 35 ºC
was determined at 1: 5.5. This was calculated from the amount of MT that
dissolved in the liquid after addition of a fixed amount of MT to a closed 50 ml
bottle that contained 10 ml of PBS. The dissolved amount was determined by
comparing the headspace MT concentration of the gas phase in this bottle with
the gas phase MT concentration in an empty bottle (so without PBS) that received
the same amount of MT. A slightly different ratio of 1:5 was obtained when using
PBS in 250 ml bottles to which also BSA (0.3 mg.ml-1) was added. For
sulfide a gas/liquid ratio of 1: 12.5 was obtained in such bottles. After
acidification a value of 1: 5.5 was found and this is much lower than expected
at 35 ºC (1:2) 64. We attributed
the higher amount of sulfide dissolved to the presence of BSA for which
adsorption of sulfide has been suggested 65.The BRENDA database was accessed at: http://www.brenda-enzymes.org/.To determine DMS in mouse plasma 200 μl samples were introduced
via a septum into a closed glass syringe with 3 ml of air that was preincubated
at 70 °C in a waterbath and incubated for another 5 minutes with
intermittent shaking. At 70 °C most of the DMS from the sample is in the
gas phase. 2.6 ml of gas phase was transferred into a 3 ml syringe and analyzed
by GC. From water samples with DMS, >80% was recovered in this way. The
DMS lower limit of detection was 1.5 nM.
Data Availability
Data that support the findings of this study are available from the
corresponding author upon reasonable request.
Authors: Udo F H Engelke; Albert Tangerman; Michèl A A P Willemsen; Detlef Moskau; Sandra Loss; S Harvey Mudd; Ron A Wevers Journal: NMR Biomed Date: 2005-08 Impact factor: 4.044
Authors: Jasmina Zivanovic; Emilia Kouroussis; Joshua B Kohl; Bikash Adhikari; Biljana Bursac; Sonia Schott-Roux; Dunja Petrovic; Jan Lj Miljkovic; Daniel Thomas-Lopez; Youngeun Jung; Marko Miler; Sarah Mitchell; Verica Milosevic; Jose Eduardo Gomes; Moran Benhar; Bruno Gonzalez-Zorn; Ivana Ivanovic-Burmazovic; Roberta Torregrossa; James R Mitchell; Matthew Whiteman; Guenter Schwarz; Solomon H Snyder; Bindu D Paul; Kate S Carroll; Milos R Filipovic Journal: Cell Metab Date: 2019-11-14 Impact factor: 27.287
Authors: Viktor Kožich; Tamás Ditrói; Jitka Sokolová; Michaela Křížková; Jakub Krijt; Pavel Ješina; Peter Nagy Journal: Br J Pharmacol Date: 2018-11-25 Impact factor: 8.739