Dietary fats are
ubiquitous and essential, while their quantity and quality modulate health.
Recently, effects on the gut microbiome are being revealed. This post explores
their differential effects on the gut–host dialog and underlying mechanisms
relevant to many diseases.
Dietary fats appear to differentially affect human physiology; and perhaps most notoriously in the case of cardiovascular disease (CVD), the leading cause of death globally. For instance, in large observational studies, substitution analyses suggest opposing effects of saturated vs. monounsaturated and polyunsaturated fatty acids (i.e. SFAs vs. MUFAs and PUFAs, respectively) on CVD 1–3; a relationship tested and supported by meta-analyses of randomised controlled trials (RCTs) 4, and referenced in many dietary guidelines. Further, in 3–4 week RCTs on healthy adults, adjusting the habitual palmitate/oleate ratio (i.e. the most abundant SFA/MUFA) affects blood/tissue lipids, alongside energy metabolism, immune activity and brain function 5–11. And even single meals with different fats can have markedly different effects on postprandial cardiometabolic biomarkers 12.
From a cellular perspective, lipids serve various
fundamental roles (e.g. as membrane components, signalling molecules and calorie-dense
fuel) requiring the properties of specific fatty acids and their spatiotemporal
regulation. Consequently, while dietary fats vary widely in quantity/quality,
cell membrane composition is highly regulated across organs and different diets
13, and perturbations can induce
rapid lipidome remodelling to maintain biophysical properties and fitness 14. Nonetheless, such adaptability
depends on differential modulation of lipid metabolism 14–16 and genetic/kinetic constraints
therein (e.g. PUFA synthesis) 13,17,
underlying dietary sensitivity. From a whole-body perspective, dietary fats may
interact with many tissues to affect physiology; but notably, foods initially
encounter the gut, a host–environment interface directly exposed to dietary
extremes and potential perturbations, and home to a rich microbiome and much of
the immune system. Accordingly, in human trials 18–22 and rodent models 23–31,
high fat diets (i.e. 30–70% kcal; varied total) can induce heterogeneous
changes to gut microbiome in association with host physiology (e.g.
inflammation 19,21,24,26,28–31
and metabolic dysfunction 18–20,22,23,25,27;
reviews 32,33). Crucially,
such diets are typically high in SFAs (e.g. animal 20, lard 23,25,30
or dairy 18,26,27,29), MUFAs
(e.g. lard or olive oil 27) or
omega-6 PUFAs (e.g. soybean 19,
corn 24,31 or sunflower oil 25), which can have differential effects
(at same % kcal) 18,25–27,29,30;
as can moderate omega-3 PUFAs (e.g. fish oil 24,25,31,34–36 or EPA/DHA 37; vs. lard 25,
dairy 36,37 or corn oil 24,31). Hence this post explores some of
the differential effects of (natural) fats on the gut–host dialog and
underlying mechanisms relevant to many diseases and systemic health.
Gut microbiome
The gut microbiome contains trillions of microbes from
hundreds of species, which populate specific metabolic and mucosal niches,
thereby supplementing host metabolism and colonisation resistance, and
underlying a mutual symbiosis shaped by host physiology and diet. In
particular, in observational studies, dietary fats have (differentially) been
associated with bacterial diversity 34,38,39,
enterotypes 40 and
species/strains 41–43; and as
above, high fat diet interventions can modulate the gut microbiome. For
instance, in perhaps the largest and longest RCT so far, conducted in China,
with 217 healthy young adults on isocaloric 20, 30 or 40% fat diets for 6
months, higher fat consumption (mainly via soybean oil) lowered microbiota α-diversity, while modulating specific
genera and metabolites 19,44.
Notably, diet can induce significant gut microbiome changes within 1–5 days in
young adults 20,21,40,
although long-term diet may have stronger associations 40. Also, in animal models, high fat
diets may further modulate susceptibility to exogenous pathogen
infection/colonisation (e.g. Salmonella
45, C. difficile 46
and C. albicans 47).
How does fat shape the gut microbiome? In typical diets,
most energy comes from carbs (4 kcal/g) and fats (9 kcal/g), which exist in
balance; so generally higher fat = lower carb. This may underlie indirect
effects, since gut microbes typically ferment non-digested carbs/fibre as a
major energy source, resulting in production of short-chain fatty acids
(SCFAs), which in turn fuel colonocytes, while lowering lumen pH and oxygen to
inhibit pathogens 48–51. Accordingly,
many studies use refined sources of fats/oils, with unmatched fibre 52, and high fat/low carb diets can
decrease SCFAs in humans 21,22.
Whereas whole nuts (i.e. fat with fibre, polyphenols, etc.) can increase
SCFA-producing bacteria (review 53);
as also occurred with overfeeding unsaturated fat 18, in part via nuts 54.
However, other high fat diet studies affect the microbiome despite matched
fibre 19,25,28,29,45 (and even
carbs in hypercaloric studies 18,27),
with different fats having different effects (refs above). Moreover, dietary
and blood levels of omega-3/DHA positively correlated (independent of fibre)
with bacterial diversity and Lachnospiraceae
spp. (i.e. major SCFA-producers) in a large cohort of female twins (n=876) 42. Accordingly, a 6-week RCT with walnut
(i.e. 65% fat; 9% α-linolenic
acid—C18:3, n-3) or equivalent α-linolenic
acid similarly increased Roseburia (family Lachnospiraceae) 55; and another with EPA/DHA increased Coprococcus (also family Lachnospiraceae), which correlated
butyrate 56. Therefore,
omega-3s may actually support SCFA/butyrate production.
As with carbs, a portion of fat intake also escapes
digestion and can be utilised by gut microbes for growth, as demonstrated in vitro with a human colon simulator 57. Specifically, fat-only medium (resembling
that in a typical western colon, Table 1) promoted growth of Alistipes, Bilophila and Gammaproteobacteria,
while reducing glycan and protein degraders (e.g. Bacteroides, Clostridium
and Roseburia spp.), SCFAs and antioxidants;
i.e. similar to high fat diets (e.g. Table 3) 57. Also, culturing mouse microbiome with
high fat diet media (i.e. lard-based) promoted growth of Enterobacteriaceae (class Gammaproteobacteria)
23, while EPA/DHA directly inhibited
E. coli (family Enterobacteriaceae) and promoted C. glomerans (phylum Actinobacteria)
58; i.e. both replicating changes
seen in mice 23,58. In the
relatively anoxic environment of the gut, “lipophilic” bacteria may perform β-oxidation of fats via anaerobic
respiration with various alternate terminal electron acceptors (e.g. sulfate,
nitrate, fumarate, etc.) 57. Exogenous
fatty acids may also modulate microbial membranes and signalling/metabolism 59–63. Notably, fungi can also metabolise
fats 47, while PUFAs 64, MCFAs (i.e. coconut oil) 47 and SCFAs 65 can have antifungal activity.
Dietary fats also alter the intestinal environment, foremost
by stimulating bile release, which aids digestion and also modulates the
microbiome 66. Accordingly,
faecal bile acids were >3x higher in omnivores than vegans (n=32/32), and
associated with higher fat and lower fibre intake 67; while in young adults (n=297), habitual animal fat intake
correlated lower bacterial diversity and SCFAs, alongside increased bile acids
(ns) 39. Moreover, in the
large Chinese RCT above, higher fat consumption (i.e. mainly soybean oil)
induced several microbiota changes (i.e.
↓ α-diversity, Faecalibacterium,
SCFAs; ↑ Alistipes, Bacteriodes) 19 in association with increased bile
acids 44. Bile acids are
detergents with antimicrobial properties, although some microbes are more
resistant than others (e.g. Gammaproteobacteria;
Fig.
2e) 45,66; so their
administration can lower microbial diversity 66,68 and favour growth of bile-resistant microbes 26,45. Similarly, high fat diets can
increase intestinal bile acids 21,26,44,45,69,
while their manipulation replicates microbial changes 26,45,66,68. For instance, high fat diets
promoted Salmonella infection via
bile-mediated (i.e. CA or TCA) suppression of core microbiota, but only in mice
lacking competitive E. coli (another Enterobacteriaceae) 45. A particularly susceptible bacterium was
Prevotella copri 45, which may generally decline on high
fat diets 21,27 and with
Westernisation 70. Notably, animal
fats also come with cholesterol (i.e. bile acid precursor), but a high
cholesterol diet did not significantly affect gut bile or microbiome,
suggesting dietary fat content is more important 71.
Regarding differential effects, the abundance of
sulfide-producing bacteria in human colon biopsies (from 9 healthy subjects)
over several months was positively associated with intake of dairy/SFAs and
negatively with MUFAs/PUFAs 41.
Accordingly, high SFA/lard diets seem to particularly increase Desulfovibrionaceae (i.e. Bilophila 18,20,21,26,30,33,68 and
Desulfovibrio 25,27,72,73), which reduce sulfur
compounds to hydrogen sulfide (H2S). With milk fat, expansion of Bilophila wadsworthia was linked to taurine-conjugated bile acids (i.e. Fig. 3a)
26, which provide organic
sulfonate for sulfite respiration; and may be stimulated by long-chain SFAs
(e.g. C16:0/18:0) in relation to their greater hydrophobicity 36,74,75 and slower absorption 76–78. Conversely, sulfide-producing
bacteria did not increase with oils rich in omega-6 25,26, and were even suppressed by
addition of moderate omega-3 25,36,37
(i.e. at 1–7%; not 21% 30).
However, both butter and refined olive oil (i.e. high MUFA) similarly increased
Desulfovibrio (a sulfate-reducing genus), but not extra virgin olive oil, thus
implicating other minor constituents (e.g. additives or polyphenols) 27. Notably, low fibre diets can also
increase Desulfovibrio 52, and specifically D. piger 79, along with degradation of the mucus
layer (releases sulfate) and enhanced pathogen susceptibly 79. Conversely, prior infection may actually
enhance colonisation resistance via taurine-induced sulfide production 80.
Gut barrier
The gut microbiome is separated from the body by the gut barrier,
which is demarcated by a single outer layer of epithelial cells and the mucus
they exude. Diet greatly influences barrier permeability to microbes and their
antigens, such as lipopolysaccharides (LPS, aka. endotoxin) from Gram-negative
bacteria. In humans and animals, even single high energy/fat meals can induce a
postprandial (0–5hr) increase in blood LPS 81–83
(with inflammation and oxidative stress 84–87),
which is blocked by adding orange juice, polyphenols or fibre 88–90.
Moreover, many studies specifically implicate saturated fat (e.g.
postprandial 85,87,91,92 and
longer 18,23,25,30,54,93; reviews
81,83). For instance, in healthy
adults, blood LPS was increased by 30g of cream (70% sat fat; low LPS content),
but not orange juice or glucose (i.e. Fig. 3)
85. In pigs and humans, blood LPS
was increased by a porridge-based meal made with 16g coconut oil (86% sat fat),
but decreased with fish oil (500mg DHA), while there was no significant effect
with other oils (i.e. olive, vegetable and grapeseed oil) 91,92; and no meal affected blood inflammatory
markers 92. Further, in mice,
1 week of a high fat diet induced translocation of live commensal intestinal bacteria
into blood and mesenteric adipose 94;
while in a subsequent study, 8 weeks of a high saturated fat diet increased
colonic permeability and translocation of bacterial DNA, whereas omega-6 did
not and omega-3 was ameliorative 25.
However, other mouse models show an elevated omega-6:3 ratio (e.g. 20:1) can increase
blood LPS 24,31,95; and in people
at risk of colon cancer, the dietary omega-6:3 ratio correlated blood
LPS-binding protein (LBP) 96.
Modulation of intestinal permeability may occur via transcellular
or paracellular routes (i.e. through or between cells, respectively) and
various mechanisms (reviews 81,97).
Firstly, fat absorption and incorporation into chylomicrons can promote auxiliary
transport of LPS (a fat-containing molecule) into peripheral blood 81,98,99. However, the acute differential
effects of saturated vs. omega-3 fats on LPS above were linked to modulation of
intestinal membrane lipid rafts, which may represent an initial gateway 91. And recently, fat was shown to
promote rapid transcellular transport of LPS from small intestine into portal
vein via a lipid raft and CD36-dependent pathway, with slower and smaller transport
into lymph via the chylomicron pathway 100.
Fat digestion also liberates free fatty acids (FFAs), which
increase on a high fat diet and can induce lipotoxicity 101,102. In particular, saturated FFAs (e.g.
palmitate) can induce ER/oxidative stress in intestinal cells, which was associated
with inflammation and an impaired mucosal barrier 102. In addition, fat-induced changes to faecal bile acid
profile (i.e. ↑ DCA:UDCA
ratio) were linked to barrier dysfunction 103;
and suggested to involve DCAs surfactant-related ability to disrupt lipid
bilayers (e.g. cell membranes) 103.
In an ex vivo study, fat-induced
permeability mainly occurred in intestinal crypts, possibly due to the presence
of immature cells lacking detergent-resistant lipid rafts with increased
susceptibility to bile and FFAs 104.
Notably, diets high in soybean oil or lard (40% fat) similarly decreased colon tight
junction expression and increased paracellular permeability in relation to secondary
bile acids 105; whereas saturated
fat-specific barrier dysfunction has been linked to H2S-producing bacteria
25,37,69. Accordingly, B. wadsworthia
can induce host bile and lower faecal butyrate, a barrier-supportive SCFA 69; while H2S can further impair
SCFA metabolism by colon cells 33,106,
and reduce disulfide bonds in the mucus network, thus increasing exposure of
bacteria to the epithelium 51,107.
Host immunity
The gut also contains the largest
collection of immune cells in the body (i.e. GALT),
which support barrier function and interact reciprocally with microbes. As
such, dietary fats can modulate immune activity via the gut microbiome. For
instance, LPS binds to toll-like receptor 4 (TLR4) expressed on the surface of
many cells to modulate inflammatory signalling. In the human gut, LPS largely
originates from the Gram-negative Bacteroidetes phylum and has
anti-inflammatory effects, as compared to that from Proteobacteria 108. However, high fat diets can alter
the Firmicutes to Bacteroidetes ratio 19,21,23,26,
and especially induce growth of Proteobacteria (i.e. Desulfovibrionaceae 18,25,27
or Enterobacteriaceae 23,31,95); as well as LPS biosynthesis 19,23,28, translocation (see above) and TLR-related
inflammation in blood 84,85,88–90
and organs 23,28,30.
In addition, fats may have more direct effects. In 3-week
RCTs on healthy adults, lowering the dietary palmitate/oleate ratio lowered
(fasting) blood and tissue fatty acid ratios in relation to cytokine release
(to LPS in vitro) 9,10 and muscle NLRP3 inflammasome (not
ER stress) 10. In healthy
humans, fat-induced postprandial inflammation has been suggested to involve
saturated FFAs, rather than LPS 109.
And in mouse models, high fat diets may impair intestinal immunity 101 and mucosal barrier via FFAs 102, and induce loss of gut neurons and
dysmotility via both LPS and saturated FFA-mediated TLR4 signalling 28. Accordingly, fats make up cell
membranes, including bacterial LPS—so named because it contains fat (lipo-) and
carbohydrate (polysaccharide). In particular, saturated fats acylated in the lipid A portion of LPS are
essential for signalling via TLR4, as well as lipopeptide signalling via TLR2 110. Further, cell membranes are
heterogeneous and contain microdomains known as lipid rafts, which result from
associations between cholesterol, sphingolipids and other saturated lipids,
while proteins can be recruited via palmitoylations 111. Stimulation of cells with LPS triggers
formation of a TLR4–lipid raft complex, which requires activation of
sphingomyelinase to produce ceramide 112
(also produced de novo from
palmitate). Moreover, saturated FFAs (e.g. lauric and palmitic) can also stimulate
TLR4/2 signalling, via (redox-dependent 113)
receptor dimerization and translocation into lipid rafts, which can be
inhibited by DHA/omega-3 110,113–116.
Note, intestinal enterocytes also mediate uptake of LPS via TLR4 117,118, which may mediate the
differential effects of fats (and antioxidants) on intestinal permeability
above 91 (e.g. figure below);
while omega-3s were further shown to enrich the microdomains of tight junctions
with unsaturated fats and prevent intestinal permeability induced by
inflammatory cytokines 119,120.
Inside cells, palmitate can induce synthesis of saturated
glycerolipids/ceramide, lower ER membrane fluidity 121, and activate ER stress and NF-kB/NLRP3 inflammasome pathways
122–124, all of which is inhibited
by unsaturated fats (i.e. oleate and DHA). Note however, some potential
methodological issues with saturated fats in cell studies 125,126.
Omega-6 and 3 PUFAs broadly serve as precursors to pro- and
anti-inflammatory mediators (i.e. oxylipins/eicosanoids), respectively, which may
be paralleled by corresponding regulation of pro- and anti-inflammatory
bacteria 24,25,31,35,37,95,127.
For instance, in a 6-month RCT, higher dietary fat (i.e. 20 vs. 40% kcals; mostly
via soybean oil—rich in C18:2, n-6) induced proinflammatory changes, including bacterial
LPS biosynthesis and arachidonic acid (AA; i.e. C20:4, n-6) metabolism, while changes
in faecal AA correlated its derivatives (i.e. PGE2 and TXB2)
and CRP in plasma 19. An omega-3
trial also revealed a modest post-treatment inverse relation between bacterial
diversity and colonic PGE2 34.
In mice, systemic administration of resolvin D1 (derived from omega-3/DHA)
ameliorated saturated fat-induced gut dysbiosis, permeability and inflammation 25. Further, in transgenic mouse models,
a high tissue omega-6:3 ratio promoted systemic inflammation and gut dysbiosis characterised
by overgrowth of Enterobacteriaceae and
suppression of Bifidobacteria 31,95. This was linked to modulation of
intestinal alkaline phosphatase (IAP) activity; where omega-3 induction of IAP reversed
gut dysbiosis and decreased LPS production, translocation and inflammation 31. However, while a high omega-6 diet
exacerbated infectious colitis, addition of omega-3 promoted sepsis, alongside
suppression of immune/IAP responses 24;
thus illustrating the potential for harm from excess (reviews 128,129). Notably, both saturated 23,25 and omega-6 fats 24,95 can promote intestinal inflammation,
which itself can induce luminal release of respiratory acceptors (e.g. nitrate)
for Enterobacteriaceae allowing them
to bloom 50,130.
All these pathways further regulate T and B cells, and thus
adaptive immunity. For instance, LPS–TLR4 signalling promotes Th17 activity and
worsens experimental autoimmune encephalomyelitis (EAE) 131, an animal model of brain
inflammation and multiple sclerosis (MS). Similarly, another study showed that dietary
long-chain saturated fats (i.e. palmitic and lauric acid) promoted Th1/17
activity and worsened EAE, via suppression of intestinal SCFAs which induce
Tregs 132. Interestingly, in
humans, Dr.
Swank published repeatedly on a link between animal/saturated fat and MS,
including the long-term effect of a low fat diet on disease activity (YouTube).
More recently, a low cholesterol diet (i.e. low animal fat?) was also shown to
lower autoimmune potential (i.e. Th17/Treg balance) in people with HCV 133. Notably, compared to typical high
fat diets, ketogenic diets (e.g. 80% fat, 5% carb) have distinct effects on the
microbiome, mediated by the antimicrobial activity of ketones, resulting in
lower intestinal Th17 cells 134.
Host energy
A primary function of the gut is to digest and absorb
nutrients, where a symbiotic relationship with microbes extends and modulates systemic
metabolism 135–138. As a macronutrient,
dietary fat also fundamentally shapes metabolism, both directly and via
microbes 33,139. For instance,
putting healthy young, but slightly overweight, men on eucaloric diets high in SFAs or PUFAs (64% kcal) for 6 weeks induced extensive
metabolic adaptation, with maintenance of insulin sensitivity 140. However, excessive fat intake (i.e. SFAs,
MUFAs or PUFAs) can rapidly induce metabolic dysfunction 141–146, with saturated fat seeming most
detrimental 54,141,147. For
instance, in humans and mice, a single high dose of palm oil (50% sat fat)
initiated whole-body, liver and adipose insulin resistance, alongside liver LPS
signalling (not blood inflammation) 143.
Importantly, the small intestine also becomes insulin
resistant early in human obesity 148,
while itself regulating systemic glucose control (e.g. whole-body 149 and brain 150), as revealed by gastric bypass. This
may involve intestinal gluconeogenesis and portal glucose, a signal sensed by
nerves regulating gut–brain signalling and systemic energy homeostasis 151. In the post-absorptive period, this
signal may be sustained by protein or fibre, which serve as reservoirs of gluconeogenic
substrates, promoting satiety 151.
Conversely, a high fat diet (36% safflower oil—rich in C18:2, n-6) impaired
small intestinal glucose uptake and gluconeogenesis 151,152. In human obesity, enterocyte GLUT2
location is altered (i.e. apical and endosomal), in relation to insulin
resistance, intestinal inflammation (i.e. CD8αβ T cells) and dietary calories/macros 153,154, while high fat diet models
support causality 153. In fasting
hyperglycaemic mice, apical GLUT2 increased blood–lumen glucose flux, with potential
consequence for gut microbiome 153;
note, small intestinal bacterial overgrowth (SIBO) is increased in metabolic
disease 81 and obesity in
relation to refined carb intake 155.
Insulin also normally suppresses enterocyte lipid secretion (via chylomicrons),
which was inhibited in mice fed palm vs. olive oil, which may promote
postprandial hyperlipidaemia (a risk factor for CVD) 156.
In the colon, bacterial fermentation of carbs/fibre generates
SCFAs and succinate which fuel intestinal metabolism and mediate gut–host
signalling to regulate systemic energy metabolism (reviews 137,138). For instance, in overweight
men, acute colonic infusion of SCFAs induced fasting fat oxidation 157; and in mice on a high fat diet, butyrate
prevented insulin resistance and obesity, while increasing energy expenditure
and mitochondrial function 158.
Accordingly, high fat diets may lower SCFAs (as above) and suppress Prevotella copri 21,27,40,45,70, a succinate-producer with
metabolic benefits 159 and human
health association (n=1098) 160,
while promoting overgrowth of pathobionts with detrimental effects. For
instance, transplantation of specific Enterobacteriaceae
from obese humans to mice fed a high fat diet induced endotoxin-dependant
obesity, insulin resistance 161
and fatty liver 162. Also, in overweight
adults, overfeeding saturated fat increased Proteobacteria and liver fat 54, which was associated with baseline Bilophila 18. In mice, B.
wadsworthia aggravated metabolic dysfunctions, via inflammation-dependent
and independent pathways 69. Similarly,
in other studies, high fat diets induced gut microbiome changes which promoted inflammation
and metabolic dysfunction, but largely independently 23,25,30. For instance, both high
saturated and omega-6 fat diets induced weight gain; while only saturated fat induced
H2S-producing bacteria (i.e. Desulfovibrio
and Bilophila), leaky gut,
inflammation and insulin resistance; and omega-3 ameliorated gut changes, but not
insulin resistance 25. Omega-6
fats are also precursors to endocannabinoids which regulate gut–host physiology
163; while low–high fat diets with
a high omega-6:3 ratio induced endocannabinoids and adiposity (not insulin) 164,165.
In humans and mice, acute high fat
diet-induced muscle insulin resistance was causally linked to increased mtROS
and oxidation of GSH redox 145.
Accordingly, compared to carbs, fat oxidation
generates more ROS, although this was lower with medium vs. long-chain fats
(i.e. C10:0/12:0 vs. C16:0/18:1/18:2) 166
and may involve LCAD 167. In
human tracer studies, dietary fat oxidation also decreases with chain length
(e.g. C12:0>16:0>18:0 168
and C18:3>22:6 169) and
saturation (e.g. C16:0/18:0 vs. C18:1/18:2/18:3; Fig. 4)
168,170,171. Further, in a series
of 3–4 week RCTs on healthy adults, lowering the habitual dietary
palmitate/oleate ratio (i.e. C16:0/18:1) lowered cytokines 9,10 and raised systemic energy/lipid
metabolism 5–8,11. And in
humans spanning the range of insulin sensitivity (i.e.
athletes–lean–obese–T2D), there were inverse associations with intramuscular
saturated fats and sphingolipids 172,173
(and SFA intake was increased in T2D 172);
while in myotubes, palmitate (not oleate) oxidation was impaired in T2D 174. Blood FFAs are also elevated in
metabolic diseases and ageing, with their saturated fat content (e.g.
palmitate) linked to systemic lipotoxic effects (e.g. inflammation, insulin
resistance, endothelial dysfunction, etc.) 114,175,176
and unsaturated fat (e.g. oleate and omega-3s) to protection 177–180. For instance, plasma palmitate
fuels intramuscular ceramide synthesis in
vivo 181,182, and induces
ceramide-dependent insulin resistance in
vitro (e.g. gut 156,
vascular 175,183 and muscle
cells 184–186), via
TLR4-dependent ceramide biosynthesis 185
and mtROS 184, which can be
ameliorated by oleate 184,186.
Moreover, cerebrospinal palmitate is also increased in cardiometabolic disease;
while palmitate (not oleate) infusion impaired memory in mice and neuronal
insulin signalling in vitro via TNFα 187.
Host lipids
Importantly, fatty acids are also synthesised endogenously
via de novo lipogenesis (from sugars),
while FFAs are released by triglyceride lipolysis (inhibited by insulin).
Consequently, eucaloric low carb/high fat diets can decrease lipogenesis and
triglycerides 140,188, whereas
overfeeding simple carbs increased lipogenesis and triglyceride saturated fat %
54. On the other hand, an Atkins-style
low carb/high fat weight loss diet decreased postprandial insulin and increased
FFAs 189, while overfeeding
saturated fat (not unsaturated fat or simple carbs) increased lipolysis and
blocked insulin-dependent suppression of FFAs 54; alongside increased endotoxemia, ceramides and insulin
resistance 54. Notably, in
people injected with LPS, insulin infusion also completely suppressed LPS-induced
nitro-oxidative stress and FFAs 190.
Low carb diets high in saturated fat also increase cholesterol (esp. LDL-c 140,188,191, which correlated FFAs 189), while those favouring unsaturated
fat can induce lower blood lipids (e.g. lipogenesis/desaturation 140, triglycerides 191, SFA/PUFA ratios 140,188 and LDL-c 140,188,191) with higher ketones (e.g.
after 5 days 191 or 6 weeks 140,188). Notably, fats and ketogenic
diets can also differentially affect insulin sensitivity 191, while hepatic insulin signalling
regulates lipid/lipoprotein metabolism 192–194;
although differential lipid responses are still present even with preservation
of insulin sensitivity 140,188.
Saturated fats may favour more lipogenesis–desaturation to produce MUFAs (e.g.
C16:1/18:1) 15,195, which support
storage (as triglycerides) and maintain cell physiology (e.g. membrane fluidity
and insulin sensitivity), buffering toxicity 15; whereas unsaturated fats lower desaturation/SCD activity 140,196,197. Further, the greater oxidation
rate of long-chain unsaturated vs. saturated fats may favour more ketogenesis 169,198; and ketones can modulate gut
microbiome and immunity 134. Long-chain
omega-3s in particular can also lower triglycerides 199, by lowering VLDL production and
increasing fatty acid uptake/oxidation 200,201.
Moreover, in a 6-week RCT, omega-3 supplementation increased Coprococcus, which correlated butyrate
(+) and VLDL-TGs (–), suggesting a role for the microbiome 56.
The blood cholesterol-raising effect
of saturated fats is mainly attributable to C12–16:0 (not C18:0/stearic) 170 and related to lower LDL receptor
expression (i.e. hepatic LDL uptake) 16,202,203;
and potentially differential effects on cellular lipid homeostasis (e.g. via SREBPs)
16,195,204,205 and systemic
turnover (e.g. intestinal absorption 206,207
and bile/excretion 16,202). Further,
diets high in saturated fat can also promote lipoprotein oxidative/inflammatory
modifications (e.g. vs. low fat 208–210,
MUFAs 210–212 or PUFAs 213,214). In particular, in mice, a high
saturated fat diet (vs. MUFA diet) increased body weight and HDL-c but impaired
reverse cholesterol transport (RCT) from liver–faeces, alongside increased liver/adipose
cholesterol and inflammation, and enrichment of HDL with acute-phase proteins 212. A similar diet also enriched liver
and LDL with sphingomyelin (SM) and ceramide 208, which can mediate LDL aggregation, oxidation 208, inflammatory and apoptotic activity 215; and deliver ceramide to macrophages
and muscle inducing insulin resistance 216.
In humans, LDL aggregation was independently associated with CVD mortality and
reduced by a ‘healthy Nordic diet’ in relation to increased PUFA intake and LDL-PC/SM
ratios (i.e. Fig.
S5B) 217. Note, both aggregated
and oxidised LDL can induce foam cell formation (an early stage of atherosclerosis)
218, via TLR4 219 and in synergy with LPS 220.
As discussed earlier, dietary fat
can modulate LPS translocation via portal and lymph-chylomicron pathways 98,100. The former would deliver LPS to
the liver, where it may induce inflammation 100 (even in absence of blood inflammation 143); albeit limited by enteric release
of HDL3, which is complexed with LBP and can bind and deactivate LPS
221. Similarly, the affinity
of chylomicrons (aka. ULDL) for LPS is mediated by LBP and prevents endotoxin
activity 222; although
LPS-containing chylomicrons still activated lymph nodes 98, and may be delivered to other tissues
such as adipose 223,224 and
endothelium 225. In blood, LPS
and Gram-positive LTA have affinity for all lipoproteins 226, especially HDL 227, and are subsequently transferred to
LDL 228,229, while the hepatic
LDL receptor plays a major role in their clearance 230,231 (e.g. figure below). Therefore lipoproteins (forward–reverse)
transport both host and microbial lipids, subserving lipid homeostasis and innate
immunity 232. Further,
systemic infections/LPS induce many changes to lipid pathways, including lipid
biosynthesis (e.g. fatty acids and sphingolipids), lipoprotein modifications and
suppression of RCT, which may acutely support immunity, but if prolonged become
harmful by promoting atherosclerosis 226,232,233;
while diet can also chronically modulate these pathways. Accordingly, in a
meta-analysis of 3 Finnish cohorts (n=7178), blood LPS was associated with an
adverse metabolic profile (incl. lipoprotein sizes, fatty acids, glycation and
amino acids), and more so with increased
BMI and MetS 234. Further,
compared to healthy weight people, metabolic disorders (e.g. obesity 99 and T2D 235) may be even more sensitive to saturated fat, with greater
increases in postprandial LPS (and chylomicron enrichment 99), alongside decreasing LDL-c and HDL-c
(not total cholesterol) 235; while
in people with coronary disease (CORDIOPREV cohort), a high postprandial LPS
predicted later development of T2D 236.
This sensitivity might involve differences in gut LPS 18,108,161,162 and blood transport/clearance
99,235. Also, in human
obesity, a subtly altered small intestinal barrier was exacerbated by lipid
challenge (in vitro) and correlated
intestinal/systemic inflammation and T2D 237;
while postprandial LPS in chylomicrons correlated triglyceride responses 99,238, which may relate to intestinal
insulin resistance, as above.
Dietary fats may also differentially affect metabolism of
amyloid-beta (Aβ)—the major
protein in brain plaques characterising Alzheimer’s disease (AD). In humans,
brain amyloid burden is highly correlated with blood Aβ peptides 239,240,
which largely associate with triglyceride-rich lipoproteins originating from
gut and liver (i.e. chylomicrons and VLDL, respectively), also detectable in
human CSF 241,242. In mice, a
diet high in saturated fat (not MUFAs or PUFAs) increased Aβ production in enterocytes
(concomitant with apoB-48 chylomicrons 243)
and accumulation in blood 244;
and induced disruption of blood–brain barrier allowing delivery of plasma
proteins, including apoB-lipoproteins enriched with Aβ, into the brain 245.
High (saturated) fat diet-induced fatty
liver was also linked to AD 246;
and Aβ production restricted
to liver was shown to induce neurovascular dysfunction and inflammation
with parenchymal extravasation 247.
Moreover, both apoB-lipoproteins 248
and Aβ 249,250 are cleared by hepatic LDLR and
LRP-1, while their induction lowers
brain amyloid 249,251,252; further supporting a
lipoprotein-Aβ vascular–brain
axis 243,247,253. Interestingly, people with
Alzheimer’s had increased (3-fold) postprandial chylomicrons, which may
increase exposure to peripheral Aβ 241. In addition, the gut microbiome also
likely plays an important role in AD 254,255;
and in particular, gut
Proteobacteria/SCFAs and blood LPS/SCFAs/cytokines have correlated CSF/brain
amyloid 255–257, and can be
modulated by diet as above. Further, LPS may be elevated in the brain
and induce AD-like pathology 254,258,
while Aβ may serve as an
antimicrobial peptide in innate immunity 259.
Fats may also modulate systemic health via the
meta-organismal TMAO pathway; where gut bacteria convert dietary
choline/carnitine to TMA, which host FMO3 converts to TMAO. In humans, a 5-day
high fat diet (50% sat fat) increased postprandial TMAO 260, while 4 weeks of a high (animal) fat
Atkins diet increased fasting TMAO 261.
Also, in a transgenic mouse model, an increased tissue omega-6:3 ratio elevated
both faecal and blood TMAO 95.
Fats may influence TMAO at various levels. Firstly, saturated fats can come with
TMAO precursors in animal foods 260.
Also, TMAO increases with age 262,
which in mice was accompanied by increased Proteobacteria and Desulfovibrio
(capable of producing TMA) 263,
which can also be induced by fats (as above). Further, FMO3 is also
under complex genetic and dietary regulation, including by bile–FXR signalling 264; and itself controls cholesterol
balance 265 and obesity 266.
Perspective
In summary, dietary fats may differentially affect gut–host
health; with higher levels of saturated (vs. unsaturated) and omega-6 (vs. omega-3)
fats having unfavourable effects at multiple levels (i.e. gut microbiome and
barrier; host immunity and metabolism). Mechanistically, the different physiochemical
properties of saturated and unsaturated fats may require different bile acid
responses for digestion and metabolic responses for homeostasis, while specific
fatty acids serve as mediators/precursors regulating specific metabolic-immune
pathways, with imbalances in any of these factors promoting dysfunction. In
particular, as the first organ exposed to diet, the gut may represent ‘ground
zero’ for dietary perturbations, while gut–host reciprocity may modulate
systemic pathways (e.g. LPS/TLR signalling) involved in many chronic diseases (e.g.
NAFLD, MetS, T2D, CVD, AD, etc.) and ageing, contributing to the differential
effects of fats on systemic health.
In accord, dietary guidelines typically advise lowering saturated
fats (e.g. <10% kcals) 212 and
favouring foods richer in unsaturated fats and omega-3s (FAO).
Some further considerations also seem noteworthy. Dietary fat content varies
widely around the world, and generally increases with latitude, wealth and
Westernisation 19,70,267. In
2013, in the UK and US respectively, 36% and 39% of calories came from fats, and
much from refined sources such as oils (OWID). Compared to
natural wholefoods, these sources isolate the fat/calories and fat-soluble
nutrients, at the expense of everything else. For instance, compared to extra
virgin olive oil (100% fat), whole olives are ~10–15% fat, which comes with gut-supporting
fibre and >5x more polyphenols 268
(e.g. oleuropein
and hydroxytyrosol);
although curing does add salt. Moreover, the contemporary increase in oil
consumption may have particularly increased omega-6 intake, modulating endogenous
omega-3 levels and 6:3 ratios 17,165,269,270,
and chronic inflammation/disease 13,19,95,165,271.
On the other hand, with the popularisation of fish oil, its excessive
consumption also has potential to be harmful, especially during infections 128,129. PUFAs are also prone to
oxidation, which may be promoted by oil isolation (i.e. removal of protective
food matrix/antiox), heating and even digestion; the latter being catalysed by co-ingestion
of heme-iron (in red meat) and inhibited by polyphenols (in plants) 272. This may impact bioactivity, since oxidised
fish oil had less favourable effects on lipoproteins in humans 273, and worsened gut dysbiosis in an animal
model 274. Notably, both
animal and plant fat sources (esp. dry heated) can also be high in advanced
glycation end-products (AGEs) 275,
which may also affect gut–host health 276
and blood lipids (incl. omega-3) 277.
Finally, PUFA status is not only related dietary content,
but also fatty acid metabolism and genetic variation therein, supporting personalised
nutrition 17. Strong relative
correlations have been reported between changes to the blood omega-3 index
(i.e. RBC EPA + DHA) and gastrointestinal tissues, suggesting it could serve as
a surrogate measure 278.
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