ArticlePDF AvailableLiterature Review

Low-Carb and Ketogenic Diets in Type 1 and Type 2 Diabetes

MDPI
Nutrients
Authors:

Abstract

Low-carb and ketogenic diets are popular among clinicians and patients, but the appropriateness of reducing carbohydrates intake in obese patients and in patients with diabetes is still debated. Studies in the literature are indeed controversial, possibly because these diets are generally poorly defined; this, together with the intrinsic complexity of dietary interventions, makes it difficult to compare results from different studies. Despite the evidence that reducing carbohydrates intake lowers body weight and, in patients with type 2 diabetes, improves glucose control, few data are available about sustainability, safety and efficacy in the long-term. In this review we explored the possible role of low-carb and ketogenic diets in the pathogenesis and management of type 2 diabetes and obesity. Furthermore, we also reviewed evidence of carbohydrates restriction in both pathogenesis of type 1 diabetes, through gut microbiota modification, and treatment of type 1 diabetes, addressing the legitimate concerns about the use of such diets in patients who are ketosis-prone and often have not completed their growth.
nutrients
Review
Low-Carb and Ketogenic Diets in Type 1 and Type
2 Diabetes
Andrea Mario Bolla , Amelia Caretto , Andrea Laurenzi, Marina Scavini and
Lorenzo Piemonti *
Diabetes Research Institute, IRCCS San Raaele Scientific Institute, Milan 20132, Italy;
bolla.andreamario@hsr.it (A.M.B.); caretto.amelia@hsr.it (A.C.); laurenzi.andrea@hsr.it (A.L.);
scavini.marina@hsr.it (M.S.)
*Correspondence: piemonti.lorenzo@hsr.it; Tel.: +39-02-2643-2706
Received: 31 March 2019; Accepted: 24 April 2019; Published: 26 April 2019


Abstract:
Low-carb and ketogenic diets are popular among clinicians and patients, but the
appropriateness of reducing carbohydrates intake in obese patients and in patients with diabetes
is still debated. Studies in the literature are indeed controversial, possibly because these diets are
generally poorly defined; this, together with the intrinsic complexity of dietary interventions, makes
it dicult to compare results from dierent studies. Despite the evidence that reducing carbohydrates
intake lowers body weight and, in patients with type 2 diabetes, improves glucose control, few data
are available about sustainability, safety and ecacy in the long-term. In this review we explored
the possible role of low-carb and ketogenic diets in the pathogenesis and management of type 2
diabetes and obesity. Furthermore, we also reviewed evidence of carbohydrates restriction in both
pathogenesis of type 1 diabetes, through gut microbiota modification, and treatment of type 1 diabetes,
addressing the legitimate concerns about the use of such diets in patients who are ketosis-prone and
often have not completed their growth.
Keywords: carbohydrates; ketogenic; diabetes; dietary patterns; nutritional intervention
1. Introduction
A healthy diet is important for a healthy life, as stated by the old saying “You are what you eat”.
This is even more important in today’s world where diabetes and obesity are pandemic. According
to the International Diabetes Federation 8th Diabetes Atlas, about 425 million people worldwide
have diabetes and, if the current trends continue, 629 million of people aged 20–79 will have diabetes
by 2045 [
1
]. Nutrition is key for preventing type 2 diabetes (T2D) and obesity, but there are no
evidence-based data defining the best dietary approach to prevent and treat these conditions.
In the last decades, low carbohydrate diets (LCD) and ketogenic diets (KD) have become widely
known and popular ways to lose weight, not only within the scientific community, but also among
the general public, with best-selling dedicated books or intense discussion on social media networks
staying at the top of the diet trend list for years. These dietary approaches are eective for losing
weight, but there is growing evidence suggesting that caution is needed, especially when these diets are
followed for long periods of time, or by individuals of a very young age or with certain diseases [
2
,
3
].
In the past, when no insulin was available, LCD has been advocated as a treatment for type 1
diabetes (T1D), but the dietary recommendations of those times were quite dierent from the low
carb/high fat diets recommended today [
4
]. Various diets with a low content of carbohydrates (CHO)
have been proposed, such as the Atkins diet, the Zone diet, the South Beach diet and the Paleo diet [
5
].
The term LCD includes very heterogeneous nutritional regimens [
6
]; no univocal definition(s) have
been proposed and clinical studies on LCD do often not provide information on CHO content and
Nutrients 2019,11, 962; doi:10.3390/nu11050962 www.mdpi.com/journal/nutrients
Nutrients 2019,11, 962 2 of 14
quality. For these reasons it is dicult to compare results from dierent scientific studies. The average
diet CHO usually represents 45%–50% of daily macronutrient requirements, with “low carbohydrate”
diets being those providing less than 45% of daily macronutrients in CHO [
5
]. According to some
studies, LCD generally contain less than 100 g of CHO per day, with the overall macronutrient
distribution being 50%–60% from fat, less than 30% from CHO, and 20%–30% from protein [
7
]. Very
low carbohydrate diets (VLCD) are ketogenic diets with an even lower amount of carbohydrates, i.e.,
less than 50 g of carbohydrate per day [
5
], usually from non-starchy vegetables [
8
]. After few days of
a drastically reduced consumption of carbohydrates the production of energy relies on burning fat,
with an increased production of ketone bodies (KBs), i.e., acetoacetate, beta-hydroxybutyric acid and
acetone; KBs represent a source of energy alternative to glucose for the central nervous system [
9
].
The increased production of ketones results in higher-than-normal circulating levels and this is why
KD may be indicated for the treatment of refractory epilepsy [
10
,
11
], including children with glucose
transporter 1 (GLUT1) deficiency [
12
]. People on ketogenic diets experience weight loss, because of
lower insulin levels, a diuretic eect, and a decreased sense of hunger [
6
]. The most common negative
acute eect is the “keto-flu”, a temporary condition with symptoms like lightheadness, dizziness,
fatigue and constipation [6,8].
In view of the heterogeneity of available data, the aim of this review is to explore the possible role
of low-carb and ketogenic diets in the pathogenesis and management of type 1 and type 2 diabetes.
2. Low-Carb and Ketogenic Diets in the Pathogenesis of Obesity and Type 2 Diabetes
For decades, the pathogenesis of obesity has been explained as calories introduced in amounts
exceeding energy expenditure [
13
]. More recently, the scientific discussion on the pathogenesis of
obesity has focused on the question: “Is a calorie a calorie?”; in other words, whether the consumption
of dierent types of food predisposes to weight gain independently of the number of calories consumed.
According to a recent Endocrine Society statement [
13
], the answer to that question is “yes”, i.e., when
calorie intake is held constant, body weight is not aected by changes in the amount and type of
nutrients in the diet. However, it is known that the type of food impacts on the number of calories
consumed, for example diets high in simple sugars and processed carbohydrates are usually high in
calories and low in satiety-promoting fiber and other nutrients, favoring an increase in overall energy
intake [13].
Some researchers [
14
] point out that the conventional model of obesity does not explain the obesity
and metabolic diseases epidemic of the modern era. In a study by Leibel et al. [
15
], maintenance of a
reduced or elevated body weight was associated with compensatory changes in energy expenditure
and hunger, with the former declining while the latter has been increasing. These compensatory
changes may account for the poor long-term ecacy of treatments for obesity, and understanding this
physiological adaptation is of practical importance in order to approach the current obesity epidemic.
According to an alternative view, dietary components have a main role in producing hormonal
responses that cause obesity, and certain types of carbohydrate can alter the homeostatic mechanism
that limits weight loss [
14
]. The carbohydrate-insulin model (CIM) of obesity hypothesizes that a
high-carbohydrate/low-fat diet causes postprandial hyperinsulinemia that promotes fat deposition
and decreases circulating metabolic fuels (glucose and lipids), thereby increasing hunger and slowing
the whole-body metabolic rate. In this view, overeating is a consequence of increasing adiposity,
rather than the primary cause. Insulin is the most potent anabolic hormone that promotes glucose
uptake into tissues, suppresses release of fatty acid from adipose tissue, inhibits production of ketones
from liver and stimulates fat and glycogen deposition. Dietary carbohydrates are the main driving
force for insulin secretion and are heterogeneous in their glycemic index (GI) (an index of how fast
blood glucose rises after their ingestion) [
16
], and glycemic load (GL) (derived from carbohydrate
amount and glycemic index). The latter is the best predictor of post prandial blood glucose levels
after CHO ingestion [
17
]. As carbohydrates are the main source of glucose, reducing their intake may
lead to a decrease in insulin requirements, an improvement in insulin sensitivity and a reduction of
Nutrients 2019,11, 962 3 of 14
post-prandial glycaemia [
18
]. In these terms, LCD may have a positive eect in the management of
metabolic diseases and in the pathogenesis of obesity.
In animal models, studies about the impact of LCD on metabolism and diabetes have yielded
dierent and sometimes controversial results. In a mouse model, adult mice were fed isocaloric
amounts of a control diet, LCD or KD, to determine the influence of dierent types of diet on longevity
and healthspan [
19
]. The results showed that lifespan was increased in mice consuming a KD compared
to those on a standard control diet, without a negative impact on aging [
19
]. In the study of Yamazaki
and collaborators [
20
], in obese mice fed with very low-carb diet or isoenergetic low-fat diet (LFD), the
authors found that both diets led to similar weight loss, but VLCD-fed mice showed increased serum
concentration of fibroblast growth factor 21 (FGF21), ketone bodies, markers of browning of white
adipose tissue, and activation in brown adipose tissue and hepatic lipogenesis. According to various
studies on normal and diabetic rats, high GI diet promotes hyperinsulinemia, increased adiposity,
lower energy expenditure and increased hunger [
21
24
]. In the study by Pawlak et al. [
24
], partially
pancreatectomized rats were fed with high GI or low GI diets in a controlled manner to maintain the
same mean body weight. Over time the high-GI group had greater increase in blood glucose and
plasma insulin after oral glucose, lower plasma adiponectin concentrations, higher plasma triglyceride
concentrations, severe disruption of islet-cell architecture and higher percent of body fat. By contrast,
some data support a dierent hypothesis. In the study by Ellenbroek et al. [
25
], a long-term KD resulted
in a reduced glucose tolerance that was associated with insucient insulin secretion by
β
-cells. After
22 weeks, mice following a KD showed a reduced insulin-stimulated glucose uptake, and a reduction
in
β
-cell mass with an increased number of smaller islets, accompanied by a proinflammatory state
with signs of hepatic steatosis.
Results of genetic studies are also controversial. In a recent report [
26
], bidirectional Mendelian
randomization was used to test association between insulin secretion and body mass index (BMI)
in humans. Higher genetically determined insulinemia was strongly associated with higher BMI,
while higher genetically determined BMI was not associated with insulinemia. Moreover, in obese
children it has been found that, in the early phase of obesity, alleles of the insulin gene variable
number of tandem repeat (VNTR) locus are associated with dierent eects of body fatness on insulin
secretion [
27
]. However, according to other studies in humans, even if genetic variants associated
with body fat distribution are often involved in insulin signaling and adipocyte biology [
28
], genetic
variants associated with total adiposity are principally related to central nervous system function [
29
].
Therefore, insulin-signaling pathways seem to have an impact on obesity pathogenesis, although they
are not the only cause, allowing the rationale for other nutritional approaches dierent from LCD.
The hypothesis that carbohydrate-stimulated insulin secretion is the primary cause of common
obesity, and metabolic diseases like T2D, via direct eects on adipocytes, seems dicult to reconcile
with current evidence from observational and intervention studies [
30
]. In the DIRECT Trial [
31
],
322 obese subject (36 with diabetes) were randomly assigned to a low-fat/restricted-calorie, a
Mediterranean/restricted-calorie or a low-carbohydrate/non–restricted-calorie diet. LCD was ecacious
in reducing body weight, although it also caused a deterioration of the lipid profile, while the
Mediterranean diet had a better eect on glucose control in individuals with diabetes. Similar results
were reported by a recent meta-analysis [
32
], according to which persons on LCD experienced a greater
reduction in body weight, but an increase in HDL and LDL cholesterol. In the larger Diogenes trial [
33
],
a reduction in the GI of dietary carbohydrates helped maintenance of weight loss. Finally, the recent
DIETFITS Trial [
34
] compared a healthy LFD with a healthy LCD and found no dierence in weight
change and no predictive value of baseline glucose-stimulated insulin secretion on weight loss response
in obese subjects. In contrast with these data, Ebbeling et al. [
35
] reported that in 164 adults that
were overweight or obese, total energy expenditure was significantly greater in participants randomly
assigned to an LCD compared with high carbohydrate diet of similar protein content; pre-weight loss
insulin secretion seemed to modulate the individual response to these diets.
Nutrients 2019,11, 962 4 of 14
In summary, an increased CHO intake is important in the pathogenesis of obesity and T2D,
although the role of additional factors still needs to be elucidated.
3. Low-Carb and Ketogenic Diets in the General Population and for the Treatment of Obesity and
Type 2 Diabetes
When considering the impact of LCD/KD in non-diabetic subjects, it is not possible to identify a
univocal answer. The Prospective Urban Rural Epidemiology (PURE) study is a large, epidemiological
cohort study, including more than 100,000 individuals, aged 35–70 years, in 18 countries [
36
].
Participants were followed for a median of 7.4 years, with the aim to assess the association between
fats (total, saturated fatty acids, and unsaturated fats) and carbohydrate intake with overall mortality
and cardiovascular events. The results showed that high carbohydrate intake (more than about 60% of
daily energy) was associated with higher overall mortality and non-cardiovascular mortality, while
higher fat intake was associated with lower overall mortality, non-cardiovascular mortality and stroke.
Some experimental evidence from animal models provides a possible explanation for these findings,
hypothesizing that the glucose-induced hyperinsulinemia, other than having negative metabolic eects,
may also play a role in promoting malignant growth [37].
The PURE study findings were in contrast with the usual recommendation to limit total fat
intake to less than 30% of total energy and saturated fat intake to less than 10%, and the authors even
concluded suggesting a revision of dietary guidelines in light of their findings, promoting low-carb
or ketogenic diets. However, it is important to remember that the PURE study is an observational
study, and should not be interpreted as prove of causality [
38
]; secondly, the PURE study only provides
information on the amount of total CHO intake, but not on the quality and source, and healthier
macronutrients consumption was associated with decreased mortality [
39
,
40
]; and thirdly, the main
sources of carbohydrates in low- and middle-income countries are mostly refined, indicating that the
observed refined CHO consumption is likely a proxy for poverty [41].
On the other side, as described, in the DIETFITS randomized trial, no dierence was observed in
weight change between a healthy LFD and a healthy LCD (aiming to achieve maximal dierentiation
in intake of fats and carbohydrates, while maintaining equal treatment intensity and an emphasis on
high-quality foods and beverages) in overweight/obese adults without diabetes after 12 months. As
previous observations suggested a role of fasting glucose and fasting insulin as predictors for weight loss
and weight loss maintenance when following diets with dierent composition in macronutrients [
42
],
the DIETFITS study also tested whether a genotype pattern or insulin secretion were associated with
the dietary eects on weight loss, but none of the two was.
There is upcoming evidence that a higher focus should be placed on the quality and sources
of carbohydrates as determinants of major health outcomes, rather than quantity [
43
]. A recent
metanalysis described a U-shaped association between the proportion of CHO in diet and mortality:
diets with both high and low percentage of CHO were associated with increased mortality, with the
minimal risk observed at 50–55% of CHO intake [
44
]. Low carbohydrate dietary patterns favoring
plant-derived protein and fat intake, from sources such as vegetables, nuts, peanut butter, and
whole-grain breads, were associated with lower mortality, suggesting that the source of food notably
modifies the association between CHO intake and mortality. Moreover, a recent series of systematic
reviews and meta-analyses, supported by the World Health Organization (WHO), aimed to investigate
the relationship between CHO quality (not total intake) and mortality and incidence of a wide range of
non-communicable diseases and risk factors. Highest dietary fiber consumers, when compared to the
lowest consumers, had a 15%–30% decrease in all-cause and cardiovascular mortality, and incidence of
coronary heart disease, type 2 diabetes, and colorectal cancer and incidence and mortality from stroke;
a significantly lower bodyweight, systolic blood pressure, and total cholesterol were also observed in
high dietary fiber consumers [45].
Many studies support the positive eect of a low-carb diet in people with T2D. The study by
Wang et al., compared the safety and ecacy of an LCD vs. an LFD in 56 patients with T2D in a
Nutrients 2019,11, 962 5 of 14
Chinese population [
46
]; patients following an LCD achieved a greater reduction in HbA1c than
those following an LFD, with no safety concerns. In another study, 115 obese adults with T2D were
randomly assigned to a very-low-carbohydrate, high–unsaturated fat, low–saturated fat diet or to
an isocaloric high-carbohydrate, low-fat diet for 52 weeks; both diets resulted in a decrease in body
weight and an improvement in HbA1c, although without significant dierences between the two
groups. Moreover, the LCD achieved greater improvements in lipid profile (possibly explained by fat
quality in the low-carb diet, which was high in unsaturated fat and low in saturated fat), blood glucose
variability, and reduction of diabetes medication [
47
]. The same authors reported the longer-term
(2-year) sustainability of these eects: after 2 years from randomization, there were no dierences in
treatment discontinuation between the 2 groups, and the results confirmed comparable weight loss and
HbA1c reduction, with no adverse renal eects [
48
]. Interestingly, a low-glycemic/high-protein, but
not a low-fat/high-carbohydrate diet was also proven to improve diastolic dysfunction in overweight
T2D patients [49].
A further reduction in dietary carbohydrates, leading to ketosis, can be even more eective in
T2D management. One non-randomized study compared the eects of a low-carb KD vs a “standard”
low-calorie diet in 363 overweight and obese patients, of whom 102 had a diagnosis of T2D. A ketogenic
diet was superior in improving metabolic control, even with a reduction in antidiabetic therapy [
4
]. In
the study by Goday et al., 89 obese patients with T2D were randomized to a very low-calorie-ketogenic
(<50 g daily CHO) diet or to a standard low-calorie diet for 4 months. The weight loss program based
on a ketogenic diet was more eective in reducing body weight and in improving glycemic control,
with safety and good tolerance [
50
]. A very-low calorie KD was also proven eective in 20 children
(mean age 14.5
±
0.4 years) with T2D following the diet for a mean of 60 days [
51
]. Since adherence to
diet is important and requires frequent contacts with the patient (to verify the compliance and optimize
antidiabetic therapy), some studies assessed, after a screening evaluation in the clinic, the feasibility,
safety and ecacy of an online intervention. Saslow et al., after proving ecacy of a ketogenic diet in
overweight and obese subjects with T2D or prediabetes with an in-person intervention [
52
], evaluated
the ecacy of an on-line program and observed similar results to the in-person intervention [
53
].
Another group of investigators conducted an open-label, non-randomized, controlled study of a
continuous care intervention (CCI, continuous remote care with medication management based on
biometric feedback combined with the metabolic approach of nutritional ketosis for T2D management)
compared to usual care. After 1 year, patients in the CCI group showed a better weight and glycemic
control, reduced diabetes medication, significantly improved surrogates of NAFLD and advanced
fibrosis, and improved biomarkers of cardiovascular (CV) risk, although observing an increase in
LDL-cholesterol levels [
54
56
]; the CCI also documented long-term beneficial eects on some markers
of diabetes and cardiometabolic health after 2 years [57].
One concern involves the relative lack of data about long-term safety, adherence and ecacy of
LCD and KD in patients with diabetes [
58
]. We know that, for example, a Mediterranean diet is safe,
can be maintained for a life-time and has durable eects on glycemic control when compared to a
standard diet [
59
,
60
], in addition to reducing post-prandial lipemia [
61
]. Moreover, dietary approaches
other than LCD and KD have been proven eective in T2D management. The Dietary Approaches to
Stop Hypertension (DASH) diet was originally developed to prevent or treat high blood pressure, but
had beneficial eects on glycemic control and cardiometabolic parameters of patients with T2D [
62
]. In
the Look-AHEAD study an intensive lifestyle intervention, consisting of increased physical activity
and reduced total and saturated fat intake, improved metabolic control and sometimes led to complete
diabetes remission. According to some evidence, even a “high-carb” diet may be recommended in
patients with T2D, if the diet is rich in fiber and has a low GI/GL ratio [63].
For all these reasons, the latest recommendations [
3
,
64
,
65
] do not indicate a unique eating pattern
for people with diabetes, suggesting that meal planning and macronutrient distribution should be
based on an individualized assessment of current eating patterns, preferences, and metabolic goals. A
variety of dietary approaches is acceptable for the management of T2D and prediabetes, with emphasis
Nutrients 2019,11, 962 6 of 14
placed on the importance of carbohydrate source; patients are suggested to prefer nutrient-dense
carbohydrate sources that are high in fiber, to avoid sugar-sweetened beverages and to minimize the
consumption of foods with added sugar.
Reducing carbohydrates intake is a helpful option but requires a regular periodic reassessment.
Because LCD or KD results in ketosis, these meal plans are not suitable for some patients with T2D,
including women who are pregnant or lactating, people with or at risk for eating disorders, or people
with renal disease. Moreover, due to the increased risk of diabetic ketoacidosis (DKA), patients taking
SGLT-2 inhibitors should avoid very-low-carbohydrate/ketogenic diets. [3,66].
In summary, the CHO source, in addition to the CHO amount, may have relevant eects on major
health outcomes in the general population. With adequate patient selection and long-term monitoring,
the reduction of CHO intake is eective in improving metabolic control in patients with T2D, with KD
achieving stronger eects than LCD. Well-designed long-term studies on this topic are needed.
4. Could Reducing Carbohydrate Intake Play a Role in the Pathogenesis of Type 1 Diabetes?
A normal gut homeostasis is the consequence of a fine-tuned balance between intestinal microbiota,
gut permeability and mucosal immunity [
67
]. In this complex interplay, the alteration of one or more
of these factors may contribute to the development and progression of inflammation or autoimmunity,
that may result in diseases such as T1D or multiple sclerosis [
68
]. Gut microbiota plays a key role
in gut homeostasis, and for this reason it is currently being so intensively investigated. Clostridia
are mainly butyrate-producing and mucin-degrading bacteria, with immunomodulating properties,
and are generally associated with a normal gut homeostasis [
69
71
]. De Goau et al. [
72
] observed
that
β
-cell autoimmunity is associated with a reduction in lactate-producing and butyrate-producing
species, with an increased abundance of the Bacteroides genus. This finding agrees with what reported
by Endesfelder et al., who suggested a protective role of butyrate in the development of anti-islet
autoimmunity and onset of T1D [
73
]; furthermore, a reduced number of Clostridia was also observed
in long-standing T1D patients [71].
It is known that diet influences gut microbiome [
74
] and that an acute change in diet alters microbial
composition within just 24 h, with reversion to baseline within 48 h of diet discontinuation [
75
]. So
how could a reduction in dietary carbohydrates, with a relative increase in fat or protein intake, aect
gut microbiota and type 1 diabetes risk?
A “Western” dietary pattern, characterized by high fat and high salt intake, can induce alterations in
gut microbiome, that aect IgA responses and lead to the production of autoantibodies. [
68
]. However,
some studies have described that a high-fat diet is associated with a reduction in Bacteroidetes and
an increased proportion of Firmicutes, both in mice and in humans [
68
,
76
79
], suggesting a potential
protective role against the development of autoimmunity.
Conversely, some authors have described a reduced amount of short-chain fatty acids in subjects
who consumed a diet high in animal protein, sugar, starch, and fat and low in fiber [
80
]. In another
study, a high protein/low-carb diet was described to reduce Roseburia and Eubacterium rectale in gut
microbiota, and lower butyrate in feces [
81
], thus resulting in a potentially unfavorable gut environment.
Another aspect to consider is whether dierent modes of dietary restrictions can play a role in
the pathogenesis of T1D. Some studies indicate that both type and levels of nutrients can influence
the generation, survival and function of lymphocytes and therefore can aect certain autoimmune
diseases to some extent [
82
]. A fasting-mimicking diet (FMD) is a low-calorie, low-protein and
low-carbohydrate, but high-fat 4-day diet that causes changes in the levels of specific growth factors,
glucose, and ketone bodies similar to those caused by water-only fasting [83].
In mouse models cycles of FMD have been shown to promote the reprogramming of pancreatic
islet cells, inducing a gene expression profile with similarities to that observed during fetal development.
FMD cycles were also able to reverse insulin deficiency in mouse models of T1D and T2D [
83
], and to
reverse insulin deficiency defects in human cells derived from T1D patients, indicating a potential
ground for future studies [82,83].
Nutrients 2019,11, 962 7 of 14
In summary, gut microbiota likely has an important role in modulating the autoimmune process,
possibly favoring autoimmunity in the presence of genetic predisposition and changes in diet.
However, it is still unclear whether an LCD/KD may be protective against the development of anti-islet
autoimmunity and prevent or delay the onset of T1D.
5. Low-Carb and Ketogenic Diets in the Treatment of Type 1 Diabetes
Prior to insulin discovery, strict low-carbohydrate diets with severe carbohydrate restriction
(
10 g/day) were the only available option to treat T1D [
84
]. Despite the many therapeutic advances
achieved since those days, the management of T1D remains suboptimal in term of glycemic control [
85
].
Approaches that promote diet and insulin flexibility, such as Dose Adjustment For Normal Eating
(DAFNE), are nowadays recommended by healthcare professionals [
86
]. Attention to food intake is
required to calibrate at best the insulin dose prior to meals, so diet is an important tool in managing
diabetes. As carbohydrates are the main responsible nutrient for post-prandial hyperglycemia [
87
],
some authors reported benefits with carbohydrate restriction in patients with T1D, in term of both
blood glucose fluctuations [
88
] and HbA1c levels [
89
]. There are several trials and some case reports
about the use of LCD in T1D; unfortunately, these studies are very heterogeneous and it is dicult to
compare their results [
90
]. In children with medically refractory epilepsy and T1D, the use of KD can
be a hazard due to the risk of severe ketoacidosis, but some reports in literature suggested that this
diet was safe and ecacious in reducing seizures in the long-term [9193].
In the small randomized trial by Krebs et al. [
89
] ten adult patients with T1D were randomized to
a standard diet (without restrictions, mean patients CHO intake was 203
±
92 g/day) with carbohydrate
counting or to a restricted carbohydrate diet (75 g of carbohydrates/day) plus carbohydrate counting.
After 12 weeks, the group on LCD had significant reductions in HbA1c and daily insulin doses and a
non-significant reduction in body weight and no changes in glycemic variability. In contrast, in an
observational study on 11 adult patients with T1D who followed a KD (<55 g of carbohydrates), the
KD was associated with good HbA1c levels and reduced glucose variability, but also with dyslipidemia
and an increased frequency of hypoglycemic events [
94
]. In the case report by Toth C. et al. [
95
],
ketogenic paleolithic diet was proposed in a 19-years-old male with newly diagnosed T1DM and
resulted in normalization of glucose levels, increased C-peptide levels and increased triglycerides and
LDL cholesterol. It is worth to note that in this case report there is no mention about ketone bodies
level range; moreover, C-peptide level increase was documented only 2 months after diagnosis, when
it is not so uncommon to observe a rise in C-peptide levels (honeymoon phase) [96].
An issue about the use of LCD can be the long-term tolerability. In many cases LCD was stopped
before 1–2 years for a variety of reasons, often because intolerable and with a limited choice of
foods [
91
93
]. In the case series by De Bock and colleagues [
97
], carbohydrate restriction in growing
children led to anthropometrical deficits, higher cardiovascular risk metabolic profile and fatigue. A
clinical audit performed to assess the long-term adherence to LCD in people with T1D showed that
after two years about half of the people ceased adhering, the other half adhered for at least four years,
with the adherent patients experiencing a sustained reduction in HbA1c levels [98].
Lennerz et al., performed a survey [
99
] recruiting volunteers from an online community for people
with T1D who follow a very-low-carbohydrate diet, as recommended in the book by Dr Bernstein’s
for diabetes management [
100
]. Patients self-reported a very good outcome in term of HbA1c (5.67%
±
0.66%) and a low incidence of side eects, with a mean duration of 2.2
±
3.9 years on this LCD
diet. There is an obvious selection bias because this community is not representative of the general
T1D population, but represents a self-selected group of people who voluntarily follow this nutritional
approach. Moreover, only 17% of the web community participants responded to the survey and only
8% of them provided medical data. We could speculate that patients following low-carb diets have
a high attention to meal composition, the same level probably encountered in patients who apply
precise carbohydrate counting. It would be reasonable to design a randomized clinical trial comparing
Nutrients 2019,11, 962 8 of 14
patients on LCD with patients precisely applying carbohydrate counting, rather than with general
population of patients with T1D.
Long-term outcomes of KD in patients with T1D, especially children and adolescents, are
unknown [
101
]. Moreover, there is no consensus on the acceptable level of ketosis in patients with T1D
when on a KD [
101
]. Nowadays we have the possibility to measure blood ketones using dedicated
meters or urinary ketones using reactive stripes. A new tool, the breath acetone sensor, will hopefully
allow the easy monitoring of LCD safety [102].
In the latest Standards of Medical Care by American Diabetes Association, KD and LCD, although
very popular among patients, are not included in the medical nutrition therapy recommendations for
T1D [3].
In summary, LCD may be an option for short-term improvement of glycemic variability in some
patients with T1D, although we recognize the limited evidence-based knowledge in this field, which
truly needs well-designed trials about the long-term safety and ecacy of LCD.
6. Conclusions
Reducing CHO intake with an LCD is eective in reducing body weight and, in patients with type
2 diabetes, improving glycemic control, with a stronger eect with a very low carb diet (KD). However,
LCD and KD may not be appropriate for all individuals. Especially in patients with type 2 diabetes, it
is necessary to balance the potential increase in cardiovascular risk because of the unfavorable lipid
profile observed with KD with the benefits deriving from weight loss and improvement of glycemic
control. Moreover, long-term compliance with low-CHO diets is still an issue.
In type 1 diabetes, there is no present evidence that an LCD or a KD can delay or prevent the
onset of the disease. These diets have the potential to improve metabolic control, but caution is needed
because of the risk of DKA, of worsening the lipid profile and, in children, the unknown impact
on growth.
Even in studies in the general population where a higher CHO intake was associated with worse
outcomes, healthier macronutrients consumption was associated with decreased cardiovascular and
non-cardiovascular mortality. When healthy LFD was compared to healthy LCD, good results in terms
of weight loss were observed with both diets. Therefore, macronutrients source, i.e., CHO quality, are
not negligible factors, and preferring fibers and nutrient-rich foods is a good option for everyone. For
this reason, when designing future studies on nutrition, it will be important to evaluate not only the
amount of CHO, but also their type.
Even though this review is not about exercise, we want to underline in the conclusion that diet
and exercise are both vitally important to good health in diabetes. All the exercise in the world will not
help you lose weight if your nutrition levels are out of control, but the adoption and maintenance of
physical activity are critical foci for blood glucose management and overall health in individuals with
diabetes and prediabetes. In this direction, we reported the conclusion of the recent position statement
of the American Diabetes Association [
103
]: “Physical activity and exercise should be recommended
and prescribed to all individuals with diabetes as part of management of glycemic control and overall
health. Specific recommendations and precautions will vary by the type of diabetes, age, activity done,
and presence of diabetes-related health complications. Recommendations should be tailored to meet
the specific needs of each individual . . . ”.
In conclusion, LCD and KD can be eective options in patients with obesity and/or type 2 diabetes,
although they are not the only available dietary approach for such patients. In any diet, LCD and KD
should be tailored to individual needs and patients should be followed for an extended period of time.
The use of those diets in patients with type 1 diabetes is still controversial and their long-term safety is
still unproven.
Further large-scale, long-term, well-designed randomized trials are needed on this topic to assess
the long-term safety, ecacy and compliance of reducing dietary CHO in patients with diabetes, and
Nutrients 2019,11, 962 9 of 14
particularly with type 1 diabetes of all ages, and to find the best dietary composition as for glycemic
control, weight loss, and CV risk in all patients with diabetes.
Author Contributions:
Writing—original draft preparation, A.M.B., A.C., A.L.; writing—review and editing,
M.S., L.P.
Funding: This research received no external funding.
Conflicts of Interest: The authors declare no conflict of interest.
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... (Lejk et al., 2022). Haja vista que os carboidratos são o principal estímulo para o aumento da demanda de insulina, quanto maior a concentração de carboidratos no corpo de uma pessoa com DM1, maior a demanda de insulina exógena para combater suas hiperglicemias (Bolla et al., 2019). ...
... Contudo, não foram bem estabelecidos parâmetros que a caracterizem definitivamente, uma vez que suas medidas não foram protocoladas e seu único parâmetro utilizado é um consumo médio de carboidratos representando menos de 40-45% das necessidades diárias de macronutrientes (Bolla et al., 2019). ...
... O carboidrato é o macronutriente de maior impacto glicêmico e, consequentemente, o principal determinante do comportamento da glicemia pós-prandial (Bolla et al., 2019). A adequação da dose de insulina pré-prandial à quantidade de carboidratos ingerida em uma refeição, idealmente através da estratégia de "contagem de carboidratos", deve fazer parte do bom manejo de um portador de DM1a (Keating et al., 2021). ...
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Este trabalho tem por objetivo analisar a repercussão de uma dieta reduzida em carboidratos na estabilidade glicêmica de um paciente portador de diabetes mellitus tipo 1 (DM1). O presente estudo trata-se do caso de uma paciente, sexo feminino, 24 anos, diagnosticada com DM1 há 18 anos, descompensada, praticante de atividade física regular, realiza contagem de carboidratos, em uso de insulina por injeções diárias múltiplas (MDI), a qual adotará uma redução da ingesta de carboidratos, para aproximadamente 30% da sua ingesta total diária, associada a uma estratégia alimentar para redução do índice glicêmico dos carboidratos ingeridos, por 3 meses. Os dados reportados serão a hemoglobina glicada (HBA1C) sérica e o Time in Range (TIR), através do sensor de monitoramento contínuo de glicose. Os resultados obtidos foram uma redução de 8,3% para 7,3% da HBA1C e um aumento de 82% dentro do TIR 70-180mg/dL, contudo nota-se que são necessários testes de duração mais prolongada para detalhamento dos resultados frente a adoção de dieta low carb. Assim, infere-se que a redução desse macronutriente repercute positivamente na estabilização glicêmica de um paciente portador de DM1a.
... Each participant received ketogenic diet (KD) with mean ±1800 kcal daily caloric intake (Table 1) which was below their total daily energy expenditure (TDEE). The TDEE was calculated using the formula: TDEE = Activity Factor (AF) × Resting Metabolic Rate (RMR) [29]. RMR was calculated using Harris-Benedict's formula. ...
... p < 0.05ˆ,#; p < 0.01 **,##; p < 0.001 ***,ˆˆˆ, ### Note: HC-hip circumference, WC-waist circumference, TC-thigh circumference, Hb-hemoglobin, GL-glucose, I-insulin, HDL-C-high density cholesterol, TG-triglicerydes, BHB-B-hydroxybutyrate.In addition to strong scientific evidence for body mass reduction, equally robust evidence supports the use of the KD in regulating glucose metabolism disturbances, such as hyperglycaemia and hyperinsulinemia[29]. These findings have been demonstrated in numerous studies[13,23,35,36,38]. ...
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Background/Objectives: We evaluated the effects of a 12-week hypocaloric ketogenic diet (KD) on glucose and lipid metabolism, as well as body mass, in overweight, obese, and healthy-weight females. One hundred adult females completed the study, including 64 obese (97.99 ± 11.48 kg), 23 overweight (75.50 ± 5.12 kg), and 11 with normal body mass (65.93 ± 3.40 kg). All participants followed a KD consisting of less than 30 g of carbohydrates, approximately 60 g of protein, and 140 g of fat per day (80% unsaturated and 20% saturated fat). Methods: Glucose (Gl), insulin (I), glycated haemoglobin (HBA1c), HOMA-IR, triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) were measured before and after the intervention. Additionally, body mass (BM), BMI (Body Mass Index), waist circumference (WC), hip circumference (HC), and thigh circumference (TC) were recorded. Results: After 12 weeks of the KD, significant improvements were observed in GL, I, TG, HDL-C, HOMA-IR across all groups. Also BM, BMI, TC, WC, and HC were significantly reduced in all participants. Notably, obese participants showed greater reductions in all variables compared to overweight and healthy-weight females. Conclusions: A 12-week KD led to more pronounced improvements in biochemical markers and body mass in obese females compared to other groups. A KD may be particularly beneficial for obese females with hyperglycaemia, hyperinsulinemia, and lipid profile disturbances.
... Each participant received ketogenic diet (KD) with ±1800 kcal daily caloric intake (Tab 1) which was below their total daily energy expenditure (TDEE). The TDEE was calculated using the formula: TDEE = Activity Factor (AF) × Resting Metabolic Rate (RMR) [26]. RMR was calculated using Harris-Benedict's formula. ...
... In this study, after 12 weeks of the KD (Table 3), we observed β-hydroxybutyrate concentrations of up to 1.5 mmol/L in participants, confirming that they were in ketosis [7]. In addition to strong scientific evidence for body mass reduction, equally robust evidence supports the use of the KD in regulating glucose metabolism disturbances, such as hyperglycaemia and hyperinsulinemia [26]. These findings have been demonstrated in numerous studies [10,20,32,33,37]. ...
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We evaluated the effects of a 12-week hypocaloric ketogenic diet (KD) on glucose and lipid metabolism, as well as body mass, in overweight, obese, and healthy-weight females. One hundred adult females completed the study, including 64 obese (97.99±11.48kg), 23 overweight (75.50±5.12 kg), and 11 with optimal body mass (65.93±3.40 kg). All participants followed a KD consisting of less than 30 g of carbohydrates, approximately 60 g of protein, and 140 g of fat per day (80% unsaturated and 20% saturated fat).Methods: Glucose (Gl), insulin (I), glycated haemoglobin (HbA1c), HOMA-IR, triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) were measured before and after the intervention. Additionally, body mass (BM), waist circumference (WC), hip circumference (HC), and thigh circumference (TC) were recorded. Results: After 12 weeks of the KD, significant improvements were observed in most biochemical variables across all groups. BM, TC, WC, and HC were significantly reduced in all participants. Notably, obese participants showed greater reductions in all variables compared to overweight and healthy-weight females. Conclusion: A 12-week KD led to more pronounced improvements in biochemical markers and body mass in obese females compared to other groups. A KD may be particularly beneficial for obese females with hyperglycaemia, hyperinsulinemia, and lipid profile disturbances.
... The intake of a KD produces an increase in the concentrations of acetoacetate, acetone, and β-hydroxybutyrate in the blood and urine, which leads to the attenuation of oxidative stress, upregulation of antioxidant proteins, enhancement of mitochondrial activity, inhibition of apoptotic proteins, and modulation of the levels of neurotransmitters such as GABA, glutamate, and monoamines [58,59]. These effects offer health benefits by alleviating symptoms of diabetes and various mental illnesses [60,61]. In addition, the KD is associated with rapid weight loss. ...
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In Western societies, vegetarian and ketogenic diets are increasingly raising attention. Understanding the differential effects of these dietary approaches could provide valuable insights into their potential clinical applications and, importantly, refine their use in targeted health promotion strategies. Therefore, the present narrative review examines the vegetarian and ketogenic diets, focusing on their association with the gut microbiome, their influence on mental health, and their potential clinical applications in healthcare settings. The vegetarian diet promotes gut microbiome diversity and enhances the growth of beneficial bacteria associated with fiber fermentation, supporting intestinal health and immune function. In contrast, the ketogenic diet induces ketosis and alters the gut microbiome by reducing certain beneficial bacteria but increasing others associated with metabolic shifts. In terms of mental health, vegetarian diets may improve psychological well-being and cognitive functioning, although there are contradictory results, while ketogenic diets have shown potential benefits in ameliorating seizure symptoms. Clinically, vegetarian diets are often recommended for preventing chronic diseases, managing cardiovascular conditions, and improving overall health, while ketogenic diets are primarily applied in epileptic patients but are also being tested for the treatment of various metabolic and mental disorders. Thus, both dietary approaches can offer potential clinical benefits, but understanding their impacts and underlying mechanisms is essential for developing dietary recommendations adapted to specific populations.
... The primary ketone bodies include acetoacetate, β-hydroxybutyrate (BHB), and acetone, with BHB being produced predominantly [4]. Extensive research has demonstrated that, despite certain side effects, KD or KD induced BHB can alleviate inflammation, fibrosis, and oxidative stress associated with diabetes mellitus (DM), obesity, and kidney disease [5][6][7]. Recent studies have highlighted the potential of KD, as well as some ketogenic methods, in both the prevention and treatment of DKD [8][9][10]. Therefore, KD may represent a novel dietary therapeutic approach for managing DKD. ...
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Diabetic kidney disease (DKD) is the main cause of end-stage renal disease. Ketogenic diets (KD) is a high-fat, low-carbohydrate diet. KD produces ketone bodies to supplement energy in the case of insufficient glucose in the body. β-Hydroxybutyrate (BHB) is the main component of ketone bodies. BHB serves as “ancillary fuel” substituting (but also inducing) anti-oxidative, anti-inflammatory, and cardio-protective features by binding to several target proteins, including histone acylation modification, or G protein-coupled receptors (GPCRs). KD have been used to treat epilepsy, obesity, type-2 diabetes mellitus, polycystic ovary syndrome, cancers, and other diseases. According to recent research, KD and the induced BHB delay DKD progression by improving the metabolism of glucose and lipids, regulating autophagy, as well as alleviating inflammation, oxidative stress and fibrosis. However, due to some side-effects, the role and mechanism of action of KD and BHB in the prevention and treatment of DKD are controversial. This review focuses on recent progress in the research of KD and BHB in clinical and preclinical studies of DKD, and provides new perspectives for DKD treatment.
... Other than obesity, nutritional approaches based on VLCKD proved effective in treating metabolic syndrome (diabetes), neurological and autoimmune diseases, acne, polycystic ovary syndrome, and cancer [21,24,[26][27][28]. VLCKD improved symptoms and corrected several out-of-range laboratory parameters thanks to the rebalancing of systemic metabolic dysfunctions [29]. ...
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Background: Fibromyalgia (FM) is a chronic disorder that causes damage to the neuro-muscular system and alterations in the intestinal microbiota and affects the psychological state of the patient. In our previous study, we showed that 22 women patients subjected to a specific very low-carbohydrate ketogenic therapy (VLCKD) showed an improvement in clinical scores as well as neurotransmission-related and psychological dysfunctions and intestinal dysbiosis. Furthermore, NMR metabolomic data showed that changes induced by VLCKD treatment were evident in all metabolic pathways related to fibromyalgia biomarkers. Methods: Based on this evidence, we extend our investigation into dietary interventions for fibromyalgia by evaluating the impact of transitioning from a VLCKD to a low-glycemic insulinemic (LOGI) diet over an additional 45-day period. Therefore, participants initially following a VLCKD were transitioned to the LOGI diet after 45 days to determine whether the improvements in FM symptoms and metabolic dysfunctions achieved through VLCKD could be sustained with LOGI. Results: Our findings suggested that while VLCKD serves as an effective initial intervention for correcting metabolic imbalances and alleviating FM symptoms, transitioning to a LOGI diet offers a practical and sustainable dietary strategy. This transition preserves clinical improvements and supports long-term adherence and quality of life, underscoring the importance of adaptable nutritional therapies in chronic disease management. Control patients who adhered only to the LOGI diet for 90 days showed only modest improvement in clinical and psychological conditions, but not elimination of fibromyalgia symptoms. Conclusions: In conclusion the LOGI diet is an excellent alternative to maintain the results obtained from the regime VLCKD.
... Overall, the carbohydrates eaten were lower than the recommended amount of carbohydrates for the general population (267 grams/day for females, 333 grams/day for males, guidelines taken from [77]). Although carbohydrate counting and professional nutritional advice are part of the treatment guidelines for T1D, restricting carbohydrates is not recommended for people with T1D [78]. However, reducing the amount of carbohydrates eaten seems to be a successful glucose management strategy for many. ...
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Background Type 1 diabetes (T1D) is a chronic condition in which the body produces too little insulin, a hormone needed to regulate blood glucose. Various factors such as carbohydrates, exercise, and hormones impact insulin needs. Beyond carbohydrates, most factors remain underexplored. Regulating insulin is a complex control task that can go wrong and cause blood glucose levels to fall outside a range that protects people from adverse health effects. Automated insulin delivery (AID) has been shown to maintain blood glucose levels within a narrow range. Beyond clinical outcomes, data from AID systems are little researched; such systems can provide data-driven insights to improve the understanding and treatment of T1D. Objective The aim is to discover unexpected temporal patterns in insulin needs and to analyze how frequently these occur. Unexpected patterns are situations where increased insulin does not result in lower glucose or where increased carbohydrate intake does not raise glucose levels. Such situations suggest that factors beyond carbohydrates influence insulin needs. Methods We analyzed time series data on insulin on board (IOB), carbohydrates on board (COB), and interstitial glucose (IG) from 29 participants using the OpenAPS AID system. Pattern frequency in hours, days (grouped via k-means clustering), weekdays, and months were determined by comparing the 95% CI of the mean differences between temporal units. Associations between pattern frequency and demographic variables were examined. Significant differences in IOB, COB, and IG across temporal dichotomies were assessed using Mann-Whitney U tests. Effect sizes and Euclidean distances between variables were calculated. Finally, the forecastability of IOB, COB, and IG for the clustered days was analyzed using Granger causality. Results On average, 13.5 participants had unexpected patterns and 9.9 had expected patterns. The patterns were more pronounced ( d >0.94) when comparing hours of the day and similar days than when comparing days of the week or months (0.3< d <0.52). Notably, 11 participants exhibited a higher IG overnight despite concurrently higher IOB (10/11). Additionally, 17 participants experienced an increase in IG after COB decreased after meals. The significant associations between pattern frequency and demographics were moderate (0.31≤ τ ≤0.48). Between clusters, mean IOB ( P =.03, d =0.7) and IG ( P =.02, d =0.67) differed significantly, but COB did not ( P =.08, d =0.55). IOB and IG were most similar (mean distance 5.08, SD 2.25), while COB and IG were most different (mean distance 11.43, SD 2.6), suggesting that AID attempts to counteract both observed and unobserved factors that impact IG. Conclusions Our study shows that unexpected patterns in the insulin needs of people with T1D are as common as expected patterns. Unexpected patterns cannot be explained by carbohydrates alone. Our results highlight the complexity of glucose regulation and emphasize the need for personalized treatment approaches. Further research is needed to identify and quantify the factors that cause these patterns.
Chapter
In the best tradition of medical practice, this essential text shares a wealth of insight into some of the most challenging diagnoses and clinical experiences from leading diabetologists around the world. Regardless of where a clinician is in their practice, learning never ends. The 49 detailed case studies presented in Diabetes in Practice can broaden understanding and elevate patient care across the spectrum of settings. Further, expert commentaries by Mary Korytkowski, MD, Louis Philipson, MD, PhD, Anne Peters, MD, and Boris Draznin, MD, PhD, highlight the important lessons and takeaways from each case. This collection has been carefully curated to enhance diabetes practice, and addresses such topics as:
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Esse trabalho objetivou avaliar a adesão e conhecimento de professores sobre dietas restritivas. Realizou-se um estudo transversal descritivo, durante setembro a novembro de 2018, em uma instituição de ensino superior particular em São Luís – MA. A amostra foi constituída por 88 professores de ambos os sexos, na faixa etária de 18 a 50 anos. Foi adotado como instrumento, um questionário que abordou dados de identificação: gênero, idade, procedência, estado civil e renda familiar. Para análise descritiva, as variáveis foram expressas em média, desvio padrão e as categóricas em frequências absoluta e relativa. Verificou-se que a maioria dos professores relatou não ter realizado dietas restritivas (64,5%). Dentre os indivíduos que as realizaram, as mais citadas foram a dieta Low Carb (60,6%) e dieta cetogênica (30,3%). Os motivos prevalentes para realização foram estética (57,6%) e insatisfação corporal (33,3%). As dificuldades encontradas por aqueles que realizaram as dietas foram: fome (69,7%), dificuldade em seguir a dieta (60,6%) e irritabilidade (42,4%). Nesse sentido, é fundamental a adoção de estratégias educativas, para que haja orientação sobre os malefícios que uma dieta desbalanceada e sem acompanhamento nutricional podem gerar ao estado nutricional.
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Objective To determine the effects of diets varying in carbohydrate to fat ratio on total energy expenditure. Design Randomized trial. Setting Multicenter collaboration at US two sites, August 2014 to May 2017. Participants 164 adults aged 18-65 years with a body mass index of 25 or more. Interventions After 12% (within 2%) weight loss on a run-in diet, participants were randomly assigned to one of three test diets according to carbohydrate content (high, 60%, n=54; moderate, 40%, n=53; or low, 20%, n=57) for 20 weeks. Test diets were controlled for protein and were energy adjusted to maintain weight loss within 2 kg. To test for effect modification predicted by the carbohydrate-insulin model, the sample was divided into thirds of pre-weight loss insulin secretion (insulin concentration 30 minutes after oral glucose). Main outcome measures The primary outcome was total energy expenditure, measured with doubly labeled water, by intention-to-treat analysis. Per protocol analysis included participants who maintained target weight loss, potentially providing a more precise effect estimate. Secondary outcomes were resting energy expenditure, measures of physical activity, and levels of the metabolic hormones leptin and ghrelin. Results Total energy expenditure differed by diet in the intention-to-treat analysis (n=162, P=0.002), with a linear trend of 52 kcal/d (95% confidence interval 23 to 82) for every 10% decrease in the contribution of carbohydrate to total energy intake (1 kcal=4.18 kJ=0.00418 MJ). Change in total energy expenditure was 91 kcal/d (95% confidence interval −29 to 210) greater in participants assigned to the moderate carbohydrate diet and 209 kcal/d (91 to 326) greater in those assigned to the low carbohydrate diet compared with the high carbohydrate diet. In the per protocol analysis (n=120, P<0.001), the respective differences were 131 kcal/d (−6 to 267) and 278 kcal/d (144 to 411). Among participants in the highest third of pre-weight loss insulin secretion, the difference between the low and high carbohydrate diet was 308 kcal/d in the intention-to-treat analysis and 478 kcal/d in the per protocol analysis (P<0.004). Ghrelin was significantly lower in participants assigned to the low carbohydrate diet compared with those assigned to the high carbohydrate diet (both analyses). Leptin was also significantly lower in participants assigned to the low carbohydrate diet (per protocol). Conclusions Consistent with the carbohydrate-insulin model, lowering dietary carbohydrate increased energy expenditure during weight loss maintenance. This metabolic effect may improve the success of obesity treatment, especially among those with high insulin secretion. Trial registration ClinicalTrials.gov NCT02068885 .
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Purpose: Studies on long-term sustainability of low-carbohydrate approaches to treat diabetes are limited. We previously reported the effectiveness of a novel digitally-monitored continuous care intervention (CCI) including nutritional ketosis in improving weight, glycemic outcomes, lipid, and liver marker changes at 1 year. Here, we assess the effects of the CCI at 2 years.Materials and methods: An open label, non-randomized, controlled study with 262 and 87 participants with T2D were enrolled in the CCI and usual care (UC) groups, respectively. Primary outcomes were retention, glycemic control, and weight changes at 2 years. Secondary outcomes included changes in body composition, liver, cardiovascular, kidney, thyroid and inflammatory markers, diabetes medication use and disease status.Results: Reductions from baseline to 2 years in the CCI group resulting from intent-to-treat analyses included: HbA1c, fasting glucose, fasting insulin, weight, systolic blood pressure, diastolic blood pressure, triglycerides, and liver alanine transaminase, and HDL-C increased. Spine bone mineral density in the CCI group was unchanged. Use of any glycemic control medication (excluding metformin) among CCI participants declined (from 55.7 to 26.8%) including insulin (-62%) and sulfonylureas (-100%). The UC group had no changes in these parameters (except uric acid and anion gap) or diabetes medication use. There was also resolution of diabetes (reversal, 53.5%; remission, 17.6%) in the CCI group but not in UC. All the reported improvements had p < 0.00012.Conclusion: The CCI group sustained long-term beneficial effects on multiple clinical markers of diabetes and cardiometabolic health at 2 years while utilizing less medication. The intervention was also effective in the resolution of diabetes and visceral obesity with no adverse effect on bone health.Clinical Trial Registration:Clinicaltrials.gov NCT02519309
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Objective One year of comprehensive continuous care intervention (CCI) through nutritional ketosis improves glycosylated haemoglobin(HbA1c), body weight and liver enzymes among patients with type 2 diabetes (T2D). Here, we report the effect of the CCI on surrogate scores of non-alcoholic fatty liver disease (NAFLD) and liver fibrosis. Methods This was a non-randomised longitudinal study, including adults with T2D who were self-enrolled to the CCI (n=262) or to receive usual care (UC, n=87) during 1 year. An NAFLD liver fat score (N-LFS) >−0.640 defined the presence of fatty liver. An NAFLD fibrosis score (NFS) of >0.675 identified subjects with advanced fibrosis. Changes in N-LFS and NFS at 1 year were the main endpoints. Results At baseline, NAFLD was present in 95% of patients in the CCI and 90% of patients in the UC. At 1 year, weight loss of ≥5% was achieved in 79% of patients in the CCI versus 19% of patients in UC (p<0.001). N-LFS mean score was reduced in the CCI group (−1.95±0.22, p<0.001), whereas it was not changed in the UC (0.47±0.41, p=0.26) (CCI vs UC, p<0.001). NFS was reduced in the CCI group (−0.65±0.06, p<0.001) compared with UC (0.26±0.11, p=0.02) (p<0.001 between two groups). In the CCI group, the percentage of individuals with a low probability of advanced fibrosis increased from 18% at baseline to 33% at 1 year (p<0.001). Conclusions One year of a digitally supported CCI significantly improved surrogates of NAFLD and advanced fibrosis in patients with T2D. Trial registration number NCT02519309 ; Results.
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OBJECTIVE: Studies on long-term sustainability of low-carbohydrate approaches to treat diabetes are limited. We aim to assess the effects of a continuous care intervention (CCI) on retention, glycemic control, weight, body composition, cardiovascular, liver, kidney, thyroid, inflammatory markers, diabetes medication usage and disease outcomes at 2 years in adults with type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS: An open label, non-randomized, controlled study with 262 and 87 participants with T2D were enrolled in the CCI and usual care (UC) groups, respectively. RESULTS: Significant changes from baseline to 2 years in the CCI group included: HbA1c (-12% from 7.7+0.1%); fasting glucose (-18% from 163.67+3.90 mg/dL); fasting insulin (-42% from 27.73+1.26 pmol L-1); weight (-10% from 114.56+0.60 kg); systolic blood pressure (-4% from 131.7+0.9 mmHg); diastolic blood pressure (-4% from 81.8+0.5 mmHg); triglycerides (-22% from 197.2+9.1 mg/dL); HDL-C (+19% from 41.8+0.9 mg/dL), and liver alanine transaminase (-21% from 29.16+0.97 U/L). Spine bone mineral density in the CCI group was unchanged. Glycemic control medication use (excluding metformin) among CCI participants declined (from 56.9% to 26.8%, P=1.3x10-11) including prescribed insulin (-62%) and sulfonylureas (-100%). The UC group had no significant changes in these parameters (except uric acid and anion gap) or diabetes medication use. There was also significant resolution of diabetes (reversal, 53.5%; remission, 17.6%) in the CCI group but not in UC. All the reported improvements had p-values <0.00012. CONCLUSIONS: The CCI sustained long-term beneficial effects on multiple clinical markers of diabetes and cardiometabolic health at 2 years while utilizing less medication. The intervention was also effective in the resolution of diabetes and visceral obesity, with no adverse effect on bone health. Clinical trial registration ID #NCT02519309
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Objective: To provide a snapshot of the profile of adults and youth with type 1 diabetes (T1D) in the United States and assessment of longitudinal changes in T1D management and clinical outcomes in the T1D Exchange registry. Research design and methods: Data on diabetes management and outcomes from 22,697 registry participants (age 1-93 years) were collected between 2016 and 2018 and compared with data collected in 2010-2012 for 25,529 registry participants. Results: Mean HbA1c in 2016-2018 increased from 65 mmol/mol at the age of 5 years to 78 mmol/mol between ages 15 and 18, with a decrease to 64 mmol/mol by age 28 and 58-63 mmol/mol beyond age 30. The American Diabetes Association (ADA) HbA1c goal of <58 mmol/mol for youth was achieved by only 17% and the goal of <53 mmol/mol for adults by only 21%. Mean HbA1c levels changed little between 2010-2012 and 2016-2018, except in adolescents who had a higher mean HbA1c in 2016-2018. Insulin pump use increased from 57% in 2010-2012 to 63% in 2016-2018. Continuous glucose monitoring (CGM) increased from 7% in 2010-2012 to 30% in 2016-2018, rising >10-fold in children <12 years old. HbA1c levels were lower in CGM users than nonusers. Severe hypoglycemia was most frequent in participants ≥50 years old and diabetic ketoacidosis was most common in adolescents and young adults. Racial differences were evident in use of pumps and CGM and HbA1c levels. Conclusions: Data from the T1D Exchange registry demonstrate that only a minority of adults and youth with T1D in the United States achieve ADA goals for HbA1c.
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Background: Previous systematic reviews and meta-analyses explaining the relationship between carbohydrate quality and health have usually examined a single marker and a limited number of clinical outcomes. We aimed to more precisely quantify the predictive potential of several markers, to determine which markers are most useful, and to establish an evidence base for quantitative recommendations for intakes of dietary fibre. Methods: We did a series of systematic reviews and meta-analyses of prospective studies published from database inception to April 30, 2017, and randomised controlled trials published from database inception to Feb 28, 2018, which reported on indicators of carbohydrate quality and non-communicable disease incidence, mortality, and risk factors. Studies were identified by searches in PubMed, Ovid MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials, and by hand searching of previous publications. We excluded prospective studies and trials reporting on participants with a chronic disease, and weight loss trials or trials involving supplements. Searches, data extraction, and bias assessment were duplicated independently. Robustness of pooled estimates from random-effects models was considered with sensitivity analyses, meta-regression, dose-response testing, and subgroup analyses. The GRADE approach was used to assess quality of evidence. Findings: Just under 135 million person-years of data from 185 prospective studies and 58 clinical trials with 4635 adult participants were included in the analyses. Observational data suggest a 15-30% decrease in all-cause and cardiovascular related mortality, and incidence of coronary heart disease, stroke incidence and mortality, type 2 diabetes, and colorectal cancer when comparing the highest dietary fibre consumers with the lowest consumers Clinical trials show significantly lower bodyweight, systolic blood pressure, and total cholesterol when comparing higher with lower intakes of dietary fibre. Risk reduction associated with a range of critical outcomes was greatest when daily intake of dietary fibre was between 25 g and 29 g. Dose-response curves suggested that higher intakes of dietary fibre could confer even greater benefit to protect against cardiovascular diseases, type 2 diabetes, and colorectal and breast cancer. Similar findings for whole grain intake were observed. Smaller or no risk reductions were found with the observational data when comparing the effects of diets characterised by low rather than higher glycaemic index or load. The certainty of evidence for relationships between carbohydrate quality and critical outcomes was graded as moderate for dietary fibre, low to moderate for whole grains, and low to very low for dietary glycaemic index and glycaemic load. Data relating to other dietary exposures are scarce. Interpretation: Findings from prospective studies and clinical trials associated with relatively high intakes of dietary fibre and whole grains were complementary, and striking dose-response evidence indicates that the relationships to several non-communicable diseases could be causal. Implementation of recommendations to increase dietary fibre intake and to replace refined grains with whole grains is expected to benefit human health. A major strength of the study was the ability to examine key indicators of carbohydrate quality in relation to a range of non-communicable disease outcomes from cohort studies and randomised trials in a single study. Our findings are limited to risk reduction in the population at large rather than those with chronic disease. Funding: Health Research Council of New Zealand, WHO, Riddet Centre of Research Excellence, Healthier Lives National Science Challenge, University of Otago, and the Otago Southland Diabetes Research Trust.
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Background: Patients with type 2 diabetes (T2D) have an elevated postprandial lipemia (PPL) that has been associated with increased cardiovascular risk. Objective: We aimed to analyze whether the long-term consumption of 2 healthy dietary patterns is associated with an improvement in PPL and remnant cholesterol (RC) concentrations in patients with T2D. Design: We selected patients from the Cordioprev study who underwent oral fat load tests (FLTs) at baseline and the 3-y follow-up (241 patients with and 316 patients without T2D). Subjects were randomly assigned to receive either a Mediterranean diet rich in olive oil (MedDiet; 35% of calories from fat [22% monounsaturated fatty acids (MUFAs)] and 50% from carbohydrates) or a low-fat (LF) diet [<30% fat (12-14% MUFAs) and 55% of calories from carbohydrates]. Lipids were measured in serial bloods drawn at 0, 1, 2, 3, and 4 h after the FLT. Results: After 3 y of dietary intervention, patients with T2D showed an improvement in their PPL measured as postprandial triglycerides (TGs) (P < 0.0001), TG area under the curve (AUC) (P = 0.001), and TG-rich lipoproteins (TRLs-TG; P = 0.001) compared with baseline. Subgroup analysis, based on the type of dietary intervention, showed that those T2D patients randomly assigned to the MedDiet presented a reduction in the TG AUC of 17.3% compared with baseline (P = 0.003). However, there were no differences for T2D patients randomly assigned to the LF diet (P > 0.05) or in patients without T2D (P > 0.05) regardless of the dietary intervention. In addition, the MedDiet induced a significant improvement in the RC AUC in patients with T2D (P = 0.04). However, there was no significant improvement in those following the LF diet. Conclusions: Our findings show that the long-term consumption of a MedDiet rich in olive oil improves PPL and RC concentrations mainly in patients with T2D. This trial was registered at clinicaltrials.gov as NCT00924937.