11
Systematic review and meta-analysis of the baseline concentrations and physiologic responses of gut hormones to food in eating disorders 1,2 Alexis C Prince, Samantha J Brooks, Daniel Stahl, and Janet Treasure ABSTRACT Background: Disturbances in gastrointestinal hormones have been widely identified in persons with eating disorders (EDs) and have been implicated in their clinical pathologies. Objective: The objective was to identify, critically examine, and summarize studies investigating the short-term response of gastro- intestinal hormones to food in persons with an ED, including the subtypes anorexia nervosa and bulimia nervosa. Design: A priori inclusion and exclusion criteria were set and in- cluded a procedure in which a test meal or glucose load was given and blood hormone concentrations measured. All studies included a healthy control group for comparison. The outcome variable was defined as the mean difference between fasting plasma hormone concentrations and the maximum postprandial peak or nadir. The difference in baseline values between groups was also examined. Pooled standardized mean differences were calculated and analyzed where possible. Results: A total of 28 studies were identified, including sufficient studies to perform a meta-analysis for ghrelin, peptide YY, chole- cystokinin, insulin, and pancreatic polypeptide. Persons with an ED had higher baseline concentrations of ghrelin (large effect), peptide YY (medium effect), and cholecystokinin (medium effect for ED, large effect for anorexia nervosa). The response of insulin to food was decreased in persons with an ED (medium effect). No further differences were found in the release of gut peptides to a standard- ized test meal. Conclusions: All of the studies had low power for the different subtypes of EDs. High heterogeneity among the studies was ob- served, and limitations are discussed. The findings suggest that the physiologic changes observed in patients with EDs are highly variable and subject to multiple confounding factors. Am J Clin Nutr 2009;89:755–65. INTRODUCTION The study of biological factors involved in the pathophysi- ology of eating disorders (EDs), such as neurotransmitters and gastrointestinal (GI) peptides, is an area of active interest. It has been widely hypothesized that disturbances in one or more of these agents could, in part, contribute to the development of ED and be implicated in their clinical pathologies (1). Previous re- views of the data on the neurobiological disturbances associated with ED have, in the main, concluded that there is little evi- dence to suggest that these abnormalities are primary and trait related (2–4). However, there is increasing evidence, although not conclusive, that some of these changes may contribute to the maintenance of some symptomatic aspects of EDs, even when secondary to malnutrition and/or aberrant eating behaviors (3). It is therefore of great interest to examine the differential release of GI hormones in the spectrum of EDs, including an- orexia nervosa (AN) and bulimia nervosa (BN), because their dysregulation may act to initiate, maintain, or exacerbate cycles of food restriction or binge-purge behaviors observed in these disorders. The brain regulates energy homeostasis and appetite via central signaling pathways in the hypothalamus and brain- stem in response to peripheral signals released from adipose tissue and the GI tract (5, 6). The focus of the current review is specific GI hormones involved in this process and their distur- bance in EDs. To our knowledge, no meta-analyses of the lit- erature concerning this topic have been conducted. Therefore, our aim was to identify, critically examine, and summarize such studies investigating the short-term physiologic response of GI hormones in persons with an ED and to examine whether they, and the AN or BN subtypes with extremes of eating behavior, would show contrasting and discordant blood hormone con- centrations before and after a test meal. Where possible, meta- analyses of the data were undertaken. Specifically, our first hypothesis was that fasting hormone concentrations would be abnormal in the subgroup with re- stricting AN, as a secondary result of the disturbance in weight homeostasis, and hormones that stimulate eating (eg, ghrelin) and hormones associated with satiation [eg, peptide YY (PYY) and cholecystokinin (CCK)] would be elevated. A second hypothesis was that persons exhibiting binge-eating behaviors would also 1 From King’s College London, Nutritional Sciences Division, Franklin- Wilkins Building, London, United Kingdom (ACP); the Division of Psycho- logical Medicine, Eating Disorders Research Unit, Institute of Psychiatry, King’s College, London, United Kingdom (SJB and DS); and the Depart- ment of Psychiatry, Thomas Guy House, Guy’s Hospital, London, United Kingdom (JT). 2 Reprints not available. Address correspondence to AC Prince, King’s College London, Nutritional Sciences Division, Franklin-Wilkins Building, 150 Stamford Street, London SE1 9NH, United Kingdom. E-mail: alexis. [email protected]. Received October 3, 2008. Accepted for publication December 17, 2008. First published online January 28, 2009; doi: 10.3945/ajcn.2008.27056. Am J Clin Nutr 2009;89:755–65. Printed in USA. Ó 2009 American Society for Nutrition 755 by guest on May 11, 2011 www.ajcn.org Downloaded from

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Systematic review and meta-analysis of the baseline concentrationsand physiologic responses of gut hormones to food ineating disorders1,2

Alexis C Prince, Samantha J Brooks, Daniel Stahl, and Janet Treasure

ABSTRACTBackground: Disturbances in gastrointestinal hormones have beenwidely identified in persons with eating disorders (EDs) and havebeen implicated in their clinical pathologies.Objective: The objective was to identify, critically examine, andsummarize studies investigating the short-term response of gastro-intestinal hormones to food in persons with an ED, including thesubtypes anorexia nervosa and bulimia nervosa.Design: A priori inclusion and exclusion criteria were set and in-cluded a procedure in which a test meal or glucose load was givenand blood hormone concentrations measured. All studies includeda healthy control group for comparison. The outcome variable wasdefined as the mean difference between fasting plasma hormoneconcentrations and the maximum postprandial peak or nadir. Thedifference in baseline values between groups was also examined.Pooled standardized mean differences were calculated and analyzedwhere possible.Results: A total of 28 studies were identified, including sufficientstudies to perform a meta-analysis for ghrelin, peptide YY, chole-cystokinin, insulin, and pancreatic polypeptide. Persons with an EDhad higher baseline concentrations of ghrelin (large effect), peptideYY (medium effect), and cholecystokinin (medium effect for ED,large effect for anorexia nervosa). The response of insulin to foodwas decreased in persons with an ED (medium effect). No furtherdifferences were found in the release of gut peptides to a standard-ized test meal.Conclusions: All of the studies had low power for the differentsubtypes of EDs. High heterogeneity among the studies was ob-served, and limitations are discussed. The findings suggest thatthe physiologic changes observed in patients with EDs are highlyvariable and subject to multiple confounding factors. Am J ClinNutr 2009;89:755–65.

INTRODUCTION

The study of biological factors involved in the pathophysi-ology of eating disorders (EDs), such as neurotransmitters andgastrointestinal (GI) peptides, is an area of active interest. It hasbeen widely hypothesized that disturbances in one or more ofthese agents could, in part, contribute to the development of EDand be implicated in their clinical pathologies (1). Previous re-views of the data on the neurobiological disturbances associatedwith ED have, in the main, concluded that there is little evi-

dence to suggest that these abnormalities are primary and traitrelated (2–4). However, there is increasing evidence, althoughnot conclusive, that some of these changes may contribute to themaintenance of some symptomatic aspects of EDs, even whensecondary to malnutrition and/or aberrant eating behaviors (3).

It is therefore of great interest to examine the differentialrelease of GI hormones in the spectrum of EDs, including an-orexia nervosa (AN) and bulimia nervosa (BN), because theirdysregulation may act to initiate, maintain, or exacerbate cyclesof food restriction or binge-purge behaviors observed in thesedisorders. The brain regulates energy homeostasis and appetitevia central signaling pathways in the hypothalamus and brain-stem in response to peripheral signals released from adiposetissue and the GI tract (5, 6). The focus of the current review isspecific GI hormones involved in this process and their distur-bance in EDs. To our knowledge, no meta-analyses of the lit-erature concerning this topic have been conducted. Therefore,our aim was to identify, critically examine, and summarize suchstudies investigating the short-term physiologic response of GIhormones in persons with an ED and to examine whether they,and the AN or BN subtypes with extremes of eating behavior,would show contrasting and discordant blood hormone con-centrations before and after a test meal. Where possible, meta-analyses of the data were undertaken.

Specifically, our first hypothesis was that fasting hormoneconcentrations would be abnormal in the subgroup with re-stricting AN, as a secondary result of the disturbance in weighthomeostasis, and hormones that stimulate eating (eg, ghrelin) andhormones associated with satiation [eg, peptide YY (PYY) andcholecystokinin (CCK)] would be elevated. A second hypothesiswas that persons exhibiting binge-eating behaviors would also

1 From King’s College London, Nutritional Sciences Division, Franklin-

Wilkins Building, London, United Kingdom (ACP); the Division of Psycho-

logical Medicine, Eating Disorders Research Unit, Institute of Psychiatry,

King’s College, London, United Kingdom (SJB and DS); and the Depart-

ment of Psychiatry, Thomas Guy House, Guy’s Hospital, London, United

Kingdom (JT).2 Reprints not available. Address correspondence to AC Prince, King’s

College London, Nutritional Sciences Division, Franklin-Wilkins Building,

150 Stamford Street, London SE1 9NH, United Kingdom. E-mail: alexis.

[email protected].

Received October 3, 2008. Accepted for publication December 17, 2008.

First published online January 28, 2009; doi: 10.3945/ajcn.2008.27056.

Am J Clin Nutr 2009;89:755–65. Printed in USA. � 2009 American Society for Nutrition 755

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show an increase in ghrelin and PYY at baseline. However, theexpected outcome for CCK was less clear in the binge-eatinggroups. The third hypothesis was that persons with AN wouldhave a normal or increased release of hormones associated withsatiation after a test meal, but that persons with binge-eatingwould have a reduced response and that these changes mightexplain their abnormal pattern of eating at normal weight.

METHODS

The aim of this study was to summarize the research that hasexamined the release of GI hormones in patients with EDs as com-pared with healthy control (HC) subjects within a test meal paradigm.The QUOROM (Quality of Reporting Meta-Analyses) statement formeta-analyses was followed.

Literature search

The literature search was conducted by using the electronicdatabases PubMed, Ovid, Embase, and Google Scholar and byadditional hand searches through the reference lists obtained fromthe articles found. Journals were searched up to January 2008. Thesearch included combinations of the following keywords andphrases: anorexia nervosa, bulimia nervosa, eating disorder, ap-petite, control, regulation, gastrointestinal, hormone, pancreaticpeptides, cholecystokinin, CCK, ghrelin, gastric inhibitory pep-tide, GIP, glucagon-like peptide-1, GLP-1, insulin, peptide YY,PYY, postprandial, preprandial, test meal, and food. Studies in-vestigating hormonal responses to a test meal in patients with anED, specifically the AN and BN subtypes, as compared with HCsubjects were eligible for inclusion. Eleven factors implicated inshort-term response to food were identified during the search thathad been studied in EDs: ghrelin, PYY, CCK, insulin, gastricinhibitory peptide (GIP), glucagon-like peptide-1 (GLP-1), so-matostatin, glucagon, pancreatic polypeptide (PP), gastrin, andvasoactive intestinal peptide (VIP). However, only ghrelin, PYY,CCK, insulin, and PP had been investigated in a sufficient numberof studies to be suitable for a meta-analysis.

Paper retrieval

The search was conducted on the basis of the following in-clusion criteria:

1) Population: subjects suffering from an ED (inpatients and out-patients) and an HC group

2) Sample size: studies with .5 subjects in the test group3) Publication date: articles from 1988 to January 20084) Language: English-language articles only5) Study designs: test meal (solid or liquid) or glucose load pro-

tocol with pre- and postprandial analysis of gastrointestinalhormone concentrations

6) Measures: baseline hormone concentrations and short-termplasma hormone response to a test meal or glucose load

7) Outcome variable: baseline hormone concentrations and meanmaximal changes in hormone concentrations after consump-tion of a test meal or glucose load

Selection

A total of 28 studies were found during the search phase; 24studies were selected following the search criteria and 4 studieswere excluded. In the first of the excluded studies, the test group

consisted of recovered AN subjects (7). Data from the secondexcluded study could not be obtained in full (8). Two additionalstudies were excluded on the basis of insufficient test groupsample sizes (9, 10). One study included in the review examinedmultiple gut hormones, but was excluded from all but one meta-analysis for PP because of a lack of raw data (11). Three studieswere included in the review but were excluded from all meta-analyses because of an insufficient number of studies examiningthe same outcome measures, specifically GIP, GLP-1, somato-statin, glucagons, and gastrin (12–14). All included studies con-tained age- and sex-matched HC groups. In summary, this reviewexamined a total of 24 studies, 21 of which were included in themeta-analyses.

Data abstraction

Descriptive statistics (mean, SD, sample size, and subtype ofED sample) for the ED and HC groups were extracted from allarticles. The primary measure for hormone response was themean maximal change (MMC) in plasma hormone concentrationfrom baseline before consumption of the test meal to the max-imum reported postprandial peak or nadir, regardless of when thisoccurred. The MMC was selected as the sole criterion for thepurposes and ease of standardizing the data across studies forstatistical analysis of the findings. The pattern of hormone releasewas also considered of interest, and the timing of the maximumhormone response is shown in Table 1. Some of the originalpublications omitted the raw data; therefore, attempts weremade to contact the corresponding authors for these data. If noresponse was received, the appropriate published graphs wereused, when possible, to extract the data and provide an ap-proximation of the results.

Study characteristics

Most of the studies included in this review adopted an ex-perimental cross-sectional design with measures taken before andafter intervention. The measures are blood plasma concentrationsof the hormones under investigation analyzed using radioim-munoassay commercial kits and the interventions were stan-dardized test meals of known composition and energy content orglucose loads of known glucose concentration. The HC groupswere selected on the basis of at least one or more of the followingcriteria: within 10–15% of ideal body weight or normal bodymass index (BMI); normal eating behavior; no history of EDs,other psychiatric disorders, mental illness, alcohol abuse, ormajor affective disorders or in first-degree relatives; mentally andphysically healthy; no history of metabolic diseases, obesity,hypertension, gastrointestinal disease, or surgery; no use of medi-cations known to affect gastric motility; and regular menstruationor premenarcheal.

Description of the study protocols

Of the studies included in the review, 7 used a solid test mealprotocol, 9 used a liquid test meal protocol, 5 used an oral-glucose-load protocol, and 3 used both a solid test meal anda glucose-load protocol. Details of the study samples, test meal,and oral-glucose-load characteristics, timing of the blood sam-pling for each study, and timing of the hormonal peak or nadir areshown in Table 1.

756 PRINCE ET AL

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[4

.36

2.4

7pm

ol/

L

BN

721

(17–25)

21.7

62.1

[3

.26

1.2

1

HC

828

(21–39)

20.1

61.1

[2

.16

1.5

0

Ger

acio

tiet

al,

1992

(35)

AN

624

65.0

37.3

63.5

CC

KL

iquid

test

mea

l(7

mL

/kg

vanil

la

flav

ore

d):

1.6

kca

l/m

L,

40%

CH

O,

40%

fat,

20%

pro

tein

Blo

od

sam

pli

ng

atva

rious

tim

es

bef

ore

and

afte

rco

nsu

mpti

on

of

test

mea

l

Pea

k:

20

[1

.36

1.2

2pm

ol/

L

HC

624

64.0

56.0

66.2

Pea

k:

30

[2

.36

1.0

1

Wei

ght

(kg)

(Con

tin

ued

)

HORMONAL RESPONSE TO FOOD IN EDs 757

by guest on May 11, 2011

ww

w.ajcn.org

Dow

nloaded from

TA

BL

E1

(Conti

nued

)

Stu

dy

Sam

ple

nA

ge2

BM

I2M

easu

re

Tes

tm

eal

char

acte

rist

ics

Mea

sure

men

tsT

imin

gM

MC

2U

nit

ykg

/m2

min

Tam

aiet

al,

1993

(36)

AN

13

20.8

62.0

70.8

61.8

CC

KO

ral

glu

cose

load

:50

gB

lood

sam

pli

ng

at0,

30,

60,

90,

120,

150,

and

180

min

afte

rglu

cose

load

Pea

k:

30

[3

.56

5.1

9pm

ol/

L

HC

918

–2

3%

IBW

Pea

k:

30

[10.6

64.6

9

Dev

lin

etal

,

1997

(30)

BN

82

6.9

62.3

22.3

60.5

CC

KL

iquid

test

mea

ls(2

00,

400,

and

600

g

Ensu

reP

lus;

Abbott

Lab

ora

tori

es,

Abbott

Par

k,

IL):

6.3

kJ/

g(1

.5kca

l/g),

53%

CH

O,

32%

fat,

15%

pro

tein

Blo

od

sam

pli

ng

ever

y10

min

from

20

min

bef

ore

to60

min

afte

r

the

liquid

test

mea

l

Pea

k:

30

[4

.86

4.5

4pm

ol/

L

HC

92

5.4

61.2

21.7

60.7

Pea

k:

20

[8

.46

6.0

Fuji

moto

etal

,

1997

(33)

AN

72

1.9

62.6

15.1

60.8

CC

KS

oli

dte

stm

eal:

504

kca

l,8.5

%C

HO

,

71.5

%fa

t,20%

pro

tein

Blo

od

sam

ple

sta

ken

atva

rious

tim

ep

oin

tsbef

ore

and

afte

r

the

test

mea

l

Pea

k:

90

[3

.28

62.0

13

pg

/mL

AN

1B

N5

21.5

61.7

18.7

61.7

Pea

k:

90

[2

.26

0.8

9

BN

62

4.3

62.4

21.6

60.6

Pea

k:

90

[1

.16

61.6

7

HC

82

0.4

60.7

21.1

61.3

Pea

k:�

12

0[

1.1

66

0.9

1

Tom

asik

etal

,

2004

(13)5

,

2005

(34)6

AN

713

14

5/1

56

62.0

14.8

61.4

CC

KO

ral

glu

cose

load

:1.7

5g/k

g;

soli

d

test

mea

l:555

kca

l,60%

CH

O,

16%

fat,

24%

pro

tein

Blo

od

sam

pli

ng

at0,

15,

30,

60,

and

120

min

afte

rte

stm

eal

Pea

k:

30

[4

.06

0.7

23

pm

ol/

L

HC

10

15

62.0

5/1

.06

21.5

5/2

2.2

66

0.7

Pea

k:

60

[2

.46

0.8

4

AN

813

14

5/1

56

62.0

14.8

61.4

Pea

k:

60

[3

.16

0.8

2

HC

10

15

62.0

5/1

.06

21.5

5/2

2.2

66

0.7

Pea

k:

60

[0

.96

0.7

5

Kee

let

al,

2007

(31)

BN

37

21.1

60.7

22.3

60

.3C

CK

Liq

uid

test

mea

l(6

00g,

Ensu

reP

lus)

:90

0

kca

l,5

5%C

HO

,30%

fat,

15%

prot

ein

Blo

od

sam

pli

ng

at0,

15,

and

30

min

afte

rli

quid

test

mea

l

Pea

k:

15

[2

.96

0.3

43

pm

ol/

L

HC

33

22.2

60.7

22.5

60.3

Pea

k:

15

[3

.66

0.3

2

Cas

per

etal

,

1988

(11)

BN

13

23.7

61.9

22.2

60.7

Insu

lin

Ora

lglu

cose

load

(Ora

nged

ex;

Cust

om

Lab

ora

tori

es,

Bal

tim

ore

,M

D):

100

g

Blo

od

sam

pli

ng

at0-,

15-,

and

at

30-m

inin

terv

als

for

nex

t4

h

Pea

k:

45

NA

,no

raw

dat

aN

A

HC

14

24.3

60.8

20.8

60.4

Pea

k:

45

Uhe

etal

,

1992

(37)

AN

10

20.1

62.1

14.7

60.7

Insu

lin

Soli

dte

stm

eal:

509

kca

l,39.9

%

CH

O,

37.6

%fa

t,22.5

%pro

tein

Blo

od

sam

pli

ng

at0,

15,

30,

45

,6

0,

90

,12

0,

15

0,

and

180

min

afte

rte

stm

eal

Pea

k:

30

[3

86

.88

648.1

23

pm

ol/

L

HC

62

0.9

62.2

21.0

60.7

Pea

k:

30

[3

60

.20

652.9

2

Tam

aiet

al,

1993

(36)

AN

13

20.8

62.0

70.8

61.8

Insu

lin

Ora

lglu

cose

load

:50

gB

lood

sam

pli

ng

at0,

30,

60,

90,

120,

150,

and

180

min

afte

rglu

cose

load

Pea

k:

30

[2

62

.56

41

7.4

13

pm

ol/

L

HC

918

–2

3%

IBW

Pea

k:

30

[4

00

.06

67.5

6

Gniu

liet

al,

2001

(38)

AN

10

22.3

66.8

14.1

61.0

Insu

lin

Ora

lglu

cose

load

(HC

-A,

HC

-B):

75

g(H

C-B

giv

ense

cond

ora

l

glu

cose

load

,1.8

5g/k

g)

Blo

od

sam

pli

ng

at0,

10,

20,

30,

40,

50,

60,

80,

100,

120,

140,

160,

18

0,

21

0,

24

0,

27

0,

and

30

0m

in

afte

rglu

cose

load

Pea

k:

’8

0[

29.3

86

6.9

3p

mo

l

HC

-A10

25.3

64.9

22.5

60.8

Pea

k:

’6

0[

25

9.8

06

25.6

8

HC

-B10

25.3

64.9

22.5

60.9

Pea

k:

’6

0[

46

3.8

06

28.9

5

Tan

aka

etal

,

2003

(23)

AN

-R11

18.5

61.4

13.3

60.4

Insu

lin

Ora

lglu

cose

load

:75

g/2

25

mL

glu

cose

solu

tion

Blo

od

sam

pli

ng

at0,

30,

60,

120,

and

180

min

afte

rglu

cose

load

Pea

k:

18

0[

39

1.7

06

220.9

pm

ol/

L

AN

-BP

92

0.9

61.4

13.8

60.5

Pea

k:

12

0[

29

0.6

06

259.8

HC

10

21.0

60.6

21.4

60.4

Pea

k:

60

[4

58

.60

6271.0

Koji

ma

etal

,

2005

(21)

BN

10

24.7

61.5

20.0

60.6

Insu

lin

Soli

dte

stm

eal,

bre

akfa

st:

58%

CH

O,

22%

fat,

20%

pro

tein

Blo

od

sam

pli

ng

at0,

30,

60,

120,

and

180

min

afte

rte

stm

eal

Pea

k:

30

[4

22

.56

17

9.6

4pm

ol/

L

HC

12

24.8

60.8

20.2

60.5

Pea

k:

30

[6

37

.16

21

5.1

Sto

cket

al,

2005

(26)

AN

-R10

16.5

60.4

16.3

60.4

Insu

lin

Liq

uid

test

mea

l:55%

CH

O,

20%

fat,

25%

pro

tein

Blo

od

sam

pli

ng

at0,

15,

60,

90,

120,

180,

and

240

min

afte

r

liquid

test

mea

l

Pea

k:

15

[26.7

620.6

23

lU

/mL

HC

10

14.8

60.3

20.2

60.4

Pea

k:

15

[58.9

635.2

3

Tom

asik

etal

,

2005

(34)

AN

713

15

62.0

14.8

61.4

Insu

lin

Ora

lglu

cose

load

:1.7

5g/k

g;

soli

d

test

mea

l:555

kca

l,60%

CH

O,

16%

fat,

24%

pro

tein

Blo

od

sam

pli

ng

at0,

15,

30,

60,

and

120

min

afte

r

test

mea

l

Pea

k:

30

[34.4

614.3

3l

U/m

L

HC

10

15

61.0

22.2

60.7

Pea

k:

30

[62.5

613.7

AN

813

15

62.0

14.8

61.4

Pea

k:

30

[53.1

622.0

HC

10

15

61.0

22.2

60.7

Pea

k:

30

[37.8

614.9

Nak

ahar

aet

al,

2007

(27)

AN

-R14

24.6

66.0

12.4

61.7

Insu

lin

Soli

dte

stm

eal:

58%

CH

O,

22%

fat,

20%

pro

tein

Blo

od

sam

pli

ng

at0,

30,

60,

120,

and

180

min

afte

rte

stm

eal

Pea

k:

60

[2

49

.36

13

9.9

3pm

ol/

L

HC

12

25.7

66.7

22.3

62.2

Pea

k:

30

[

Kin

zig

etal

,

2007

(39)

AN

(1)

13

27.8

62.3

16.8

60.3

Insu

lin

Soli

dte

stm

eal,

bre

akfa

st:

650

kca

l,co

mposi

tion

not

giv

en

Blo

od

sam

pli

ng

at0,

15,

30,

45,

60,

90,

and

120

min

afte

rte

stm

eal

Pea

k:

60

[68.2

641.1

lU

/mL

HC

13

26.8

62.5

23.8

60.6

Pea

k:

30

[64.4

616.6

Cas

per

etal

,

1988

(11)

BN

13

23.7

61.9

22.2

60.7

PP

Ora

lglu

cose

load

(Ora

nged

ex):

100

g

Blo

od

sam

pli

ng

at0-,

15-,

and

30-m

inin

terv

als

for

nex

t4

h

Pea

k:

30

[51.3

66

12

5.1

pg

/mL

HC

14

24.3

60.8

20.8

60.4

Pea

k:

30

9[

30.2

06

66.8

(Con

tin

ued

)

758 PRINCE ET AL

by guest on May 11, 2011

ww

w.ajcn.org

Dow

nloaded from

TA

BL

E1

(Conti

nued

)

Stu

dy

Sam

ple

nA

ge2

BM

I2M

easu

re

Tes

tm

eal

char

acte

rist

ics

Mea

sure

men

tsT

imin

gM

MC

2U

nit

ykg

/m2

min

Uhe

etal

,

1992

(37)

AN

10

20.1

62.1

14.7

60.7

PP

Soli

dte

stm

eal:

509

kca

l,39.9

%

CH

O,

37.6

%fa

t,22.5

%pro

tein

Blo

od

sam

pli

ng

at0

,15,

30,

45,

60,

90

,12

0,

15

0,

and

18

0m

in

afte

rte

stm

eal

Pea

k1

801

[7

5.0

06

34.6

3ng/L

HC

620

.96

2.2

21.0

60.7

Pea

k1

50

[134.3

86

44.4

Fuji

moto

etal

,

1997

(33)

AN

721

.96

2.6

15.1

60.8

PP

Soli

dte

stm

eal:

504

kca

l,8.5

%C

HO

,

71.5

%fa

t,20%

pro

tein

Blo

od

sam

ple

sta

ken

atva

rious

tim

ep

oin

tsbef

ore

and

afte

rth

ete

stm

eal

Pea

k9

0[

120.0

639.8

3ng�m

in/m

L

AN

1B

N5

21

.56

1.7

18.7

61.7

Pea

k9

0[

45

.09

626.1

BN

624

.36

2.4

21.6

60.6

Pea

k2

0[

50

.10

628.6

HC

820

.46

0.7

21.1

61.3

Pea

k2

0[

56

.78

633.1

Tom

asik

etal

,

2005

(34)

AN

713

15

62.0

14.8

61.4

PP

Ora

lglu

cose

load

:1.7

5g/k

g;

soli

d

test

mea

l:555

kca

l,60%

CH

O,

16%

fat,

24%

pro

tein

Blo

od

sam

pli

ng

at0

,15,

30,

60,

and

120

min

afte

rte

stm

eal

Pea

k1

5[

8.3

26

3.3

3l

mol/

L

HC

10

15

61.0

22.2

60.7

Pea

k1

5[

18

.31

62

.9

AN

813

15

62.0

14.8

61.4

Pea

k1

5[

68

.26

623.5

HC

10

15

61.0

22.2

60.7

Pea

k1

5[

18

.31

65

.8

Kin

zig

etal

,

2007

(39)

AN

(1)

13

27.8

62.3

16.8

60.3

PP

Soli

dte

stm

eal,

bre

akfa

st:

650

kca

l,

com

posi

tion

not

giv

en

Blo

od

sam

pli

ng

at0

,15,

30,

45,

60,

and

90

min

afte

rte

stm

eal

Pea

k3

0[

489.6

06

230.8

ng/m

L

HC

13

26.8

62.5

23.8

60.6

Pea

k1

5[

406.2

06

102.7

Tom

asik

etal

,

2004

(13)5

,

2005

(34)6

AN

713

14

5/1

56

62.0

14.8

61.4

GIP

Ora

lglu

cose

load

:1.7

5g/k

g;

soli

d

test

mea

l:555

kca

l,60%

CH

O,

16%

fat,

24%

pro

tein

Blo

od

sam

pli

ng

at0

,15,

30,

60,

and

120

min

afte

rte

stm

eal

Pea

k6

0N

AN

A

HC

10

15

62

.05/1

.06

21.5

5/2

2.2

66

0.7

Pea

k6

0

AN

813

14

5/1

56

62.0

14.8

61.4

Pea

k3

0

HC

10

15

62

.05/1

.06

21.5

5/2

2.2

66

0.7

Pea

k3

0

Sto

cket

al,

2005

(26)

AN

-R10

16

.56

0.4

16.3

60.4

GIP

Liq

uid

test

mea

l:55%

CH

O,

20%

fat,

25%

pro

tein

Blo

od

sam

pli

ng

at0

,15,

60,

90,

120,

180,

and

240

min

afte

r

liquid

test

mea

l

Pea

k1

5N

AN

A

HC

10

14.8

60.3

20.2

60.4

Pea

k6

0

Tom

asik

etal

,

2002

(12)1

0,

2004

(13)5

,

2005

(34)6

AN

713

14

5,1

0/1

56

62.0

14.8

61.4

GL

P-1

Ora

lglu

cose

load

:1.7

5g/k

g;

soli

d

test

mea

l:555

kca

l,60%

CH

O,

16%

fat,

24%

pro

tein

Blo

od

sam

pli

ng

at0

,15,

30,

60,

and

120

min

afte

r

test

mea

l

Pea

k3

0N

AN

A

HC

10

15

62

.05,1

0/1

.06

21.5

5/2

2.2

6/2

1.6

10

60.7

Pea

k6

0

AN

813

14

5,1

0/1

56

62.0

14.8

61.4

Pea

k3

0

HC

10

15

62

.05,1

0/1

.06

21.5

5/2

2.2

6/2

1.6

10

60.7

Pea

k1

5

Pir

ke

etal

,

1994

(14)

AN

18

22.9

69.8

13.1

65.4

Som

atost

atin

Liq

uid

test

mea

l(5

00m

LN

utri

com

p/

Bra

unM

elsu

nge

n)1

100

mL

crea

m:

800

kca

l,40%

CH

O,4

0%

fat,

20%

pro

tein

Blo

od

sam

pli

ng

at0

,10,

20,

30

,45

,6

0,

80

,an

d10

0m

in

afte

rte

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Quantitative data synthesis

Outcomes clustered by hormone response were summarizedby a meta-analysis if the number of studies available was �5.This applied to studies investigating ghrelin, PYY, CCK, insulin,and PP response. Analyses were carried out by using STATA 10.0(StataCorp, College Station, TX) using the user-contributedcommand for meta-analyses METAN (15). Forest plots are usedto show the meta-analyses with all the independent data avail-able for each measure.

The MMC in hormone concentration for each participant groupin each study was calculated by subtracting the basal or preprandialconcentration from the maximum postprandial concentration. Themean difference in response between the ED and HC groups wasstandardized by calculating Cohen’s d, which is the differencebetween the 2 raw means divided by the pooled SD (16). Cohen’sd is understood as negligible (�0 and ,0.15), small (�0.15 and,0.40), medium (�0.40 and ,0.75), large (�0.75 and ,1.10),very large (�1.10 and ,1.45), and huge (�1.45).

The standardized effect sizes were subsequently analyzed byusing METAN. The SE of each study’s standardized effect sizewas calculated from the estimated effect and the group sizes of the2 groups (ie, AN or BN group compared with HC group) by usingthe method of Cooper and Hedges (17), which is implemented inMETAN. These were then pooled by using a random-effectsmodel that allowed for between-study variation of effect sizes(18). Homogeneity between the studies was analyzed by usingCochran’s Q test. Because of the relatively small sample sizes, anadditional measure of heterogeneity or inconsistency, I2 [(Q – df)/Q], was calculated (19). I2 ranges between 0% (low heterogeneity)and 100% (high heterogeneity).

Seventeen meta-analyses were conducted for ghrelin, PYY,CCK, insulin, and PP, including basal concentrations and com-parisons of the response to test meals between the ED and HCgroups and, where possible, between the AN or BN group andthe HC group separately. Insufficient studies were available toconduct a meta-analysis comparing PYY between the AN andHC groups or to conduct meta-analyses comparing all variablesexcept CCK, for which there were sufficient studies, between theBN and HC groups.

RESULTS

Descriptive data for each study are shown in Table 1, includingsample type, sample size, age, BMI, and test meal or glucoseload characteristics. Quantitative data for the studies includedin the meta-analyses are in the form of MMC in hormoneconcentrations from baseline preprandial concentrations to themaximum postprandial peak or nadir. These data were used tocalculate the standardized effect sizes and CIs. Across the 28included studies, the mean BMI of the AN group was signifi-cantly lower than that of the HC groups. In the BN groups, themean BMI was not significantly different from that of the HCgroups.

Ghrelin

Eight studies investigated the ghrelin response; 3 included BNand HC groups (20–22) and 5 included AN and HC groups (23–27), of which 4 identified AN subtypes, either restrictive type(AN-R), binge-purging type (AN-BP), or both (23, 24, 26, 27).

All subjects were female, with an age range of 14 to 28 y. AllED patients were diagnosed according to the Diagnostic Sta-tistical Manual IV (DSM-IV) criteria. Sample sizes varied be-tween 9 and 20 subjects in the ED groups, with a mean of 12subjects. Of these studies, 3 reported using total acetylated orbioactive ghrelin and non- or de-acetylated ghrelin in the bio-chemical assays (23, 26, 27), 1 reported using I-labeled totalplasma ghrelin only (25), and 4 did not identify ghrelin type(20–22, 24).

All 8 studies were included in the meta-analysis. One study didnot contain raw data for the baseline hormone concentrations andthus could only be included in the meta-analysis of the MMC inhormone concentration (25), and one study included data for bothAN-R and AN-BP subjects (23). These data were subsequentlytreated as 2 separate studies for the purposes of the analysis.

The baseline contrasts in plasma ghrelin between patients andcontrol subjects are shown in Figure 1. One study was an outlierwith lower concentrations of ghrelin in the BN group (20). All ofthe other studies showed an increase in baseline ghrelin con-centrations in all ED groups. A meta-analysis of these data,excluding the outlier, showed that the ED groups had higherplasma ghrelin concentrations at baseline than did the HC group,with a large effect size (d ¼ 1.05, z ¼ 4.32, P , 0.0001).Heterogeneity across the studies was moderate (v2

6 ¼ 12.11,P ¼ 0.059, I2 ¼ 50.5%). There was a suggestion that the in-crease in ghrelin concentrations was more robust in persons withAN (d ¼ 1.26, z ¼ 4.82, P , 0.0001). The MMC in ghrelinconcentration after a test meal or glucose load is shown inFigure 2. Again, one study appeared to be an outlier (20).Overall, ghrelin release to a meal was no different in personswith ED than in the HC groups (P ¼ 0.968).

Peptide YY

Five studies investigated the PYY response. Two included BNand HC groups only (21, 22), 3 included AN and HC groups (26–28), all of which identified the ED participants as AN-R (26–28).All subjects were female, ranging in age from 14 to 28 y. All ED

FIGURE 1. Forest plot showing the summarized results and effect sizes(with 95% CIs) for differences in mean baseline plasma ghrelinconcentrations between different subtypes of eating disorder (ED) patientsand healthy control (HC) subjects. , anorexia nervosa restricting type; ,anorexia nervosa binge-purging type; , bulimia nervosa.

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patients were diagnosed according to the DSM-IV criteria.Sample sizes varied between 9 and 16 subjects in the ED groups,with a mean of 12 subjects.

The baseline differences in PYY between ED and HC subjectsare shown in Figure 3. Overall, persons with ED had higherplasma PYY concentrations at baseline with a medium effectsize (d ¼ 0.64, z ¼ 2.55, P , 0.05), although the range over-lapped with zero in most of the studies. Heterogeneity across thestudies was low (v2

4 ¼ 6.27, P ¼ 0.180, I2 ¼ 36.2%). It was notpossible to conduct a meta-analysis of either of the ED subtypesseparately because of an insufficient number of studies. TheMMC in PYY concentration after a meal is shown in Figure 4(P ¼ 0.101). Heterogeneity was high (v2

4 ¼ 20.21, P ¼ 0.000,I2 ¼ 80.2%). Overall, there appeared to be a large but non-significant decrease in meal-related PYY in persons with ED.

Cholecystokinin

Eight studies investigated the CCK response. Three includedBN and HC groups only (29–31); 2 included AN, BN, and HCgroups (32, 33); and 3 included AN and HC groups only (34–36). Only one study identified the AN subtype AN-BP (33). Allsubjects were female, with the exception of one male subject inthe study by Phillipp et al (32). The subjects ranged in agebetween 15 and 28 y. Diagnoses of ED were made according toDSM-III or DSM-III-R criteria in 4 of the studies and accordingto DSM-IV criteria in 2 studies. In one study, the diagnoses weremade according to the criteria of Feighner et al (36), and thediagnostic criteria were not stated in one study (35). Samplesizes varied between 6 and 37 subjects in the ED groups, witha mean of 13 subjects.

The baseline concentrations of CCK are shown in Figure 5.Overall, no significant effects were found for baseline CCKconcentrations between ED and HC groups (P ¼ 0.565). Het-erogeneity across the studies was high (v2

9 ¼ 86.39, P ¼ 0.000,

FIGURE 2. Forest plot showing the summarized results and effect sizes(with 95% CIs) for mean maximal changes in plasma ghrelin concentrationsafter a test meal or glucose load in different subtypes of eating disorder (ED)patients and healthy control (HC) subjects. , anorexia nervosa; ,anorexia nervosa restricting type; , anorexia nervosa binge-purging type;

, bulimia nervosa.

FIGURE 3. Forest plot showing the summarized results and effect sizes(with 95% CIs) for mean baseline plasma peptide YY concentrations indifferent subtypes of eating disorder (ED) patients and healthy control(HC) subjects. , anorexia nervosa restricting type; , bulimia nervosa.

FIGURE 4. Forest plot showing the summarized results and effect sizes(with 95% CIs) for mean maximal changes in plasma peptide YYconcentrations after a test meal or glucose load in different subtypes ofeating disorder (ED) patients and healthy control (HC) subjects. ,anorexia nervosa restricting type; , bulimia nervosa.

FIGURE 5. Forest plot showing the summarized results and effect sizes(with 95% CIs) for mean baseline plasma cholecystokinin concentrations indifferent subtypes of eating disorder (ED) patients and healthy control (HC)subjects. , anorexia nervosa; , bulimia nervosa. 1Oral-glucose-tolerancetest. 2Solid test meal.

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I2 ¼ 89.6%), with the study of Tomasik appearing to be anoutlier (34). This study was scrutinized to find a reason forthe atypical result, but no unusual factors could be identified.Nevertheless, on removal of this study, the meta-analysis sug-gested that baseline CCK concentrations were increased in theED group with a moderate effect size (d ¼ 0.54, z ¼ 2.16, P ,

0.04). Heterogeneity was also reduced (v27 ¼ 16.65, P ¼ 0.020,

I2 ¼ 58.0%). The increase in baseline CCK was stronger instudies of persons with AN (d ¼ 1.21, z ¼ 4.50, P , 0.0001).

Overall, no significant effects were found for the MMC in CCKafter a test meal or glucose load in persons with ED (Figure 6;P ¼ 0.825), or for either the AN or BN subtypes alone (P ¼0.140 and P ¼ 0.133, respectively). Heterogeneity across thestudies was very high (v2

11 ¼ 143.32, P ¼ 0.000, I2 ¼ 92.3%).

Insulin

Ten studies investigated the insulin response, one of whichcould not be included in the meta-analysis because of an absenceof raw data (11). Two studies included BN and HC groups (11,21). Eight studies included AN and HC groups (23, 26, 27, 34,36–39): 1 identified the AN subtypes AN-R and AN-BP (23) and2 identified AN-R only (26, 27). All subjects were female, withthe exception of 2 male subjects in the study by Kinzig et al(39). The subjects ranged in age between 15 and 27 y across the9 studies. ED patients were mainly diagnosed according toDSM-IV criteria. One study did not state the diagnostic criteria(37). Sample sizes varied between 9 and 14 subjects in the EDgroups, with a mean of 11 subjects.

No differences were found in baseline insulin concentrationsbetween the ED and HC groups (Figure 7; P¼ 0.339). However,heterogeneity across the studies was high (v2

10 ¼ 59.66, P ¼0.000, I2 ¼ 83.2%). The MMC in insulin concentration is shownin Figure 8. One study appeared to be an outlier (38). On re-moval of this study, a medium effect was observed; ED groupsshowed a trend toward a smaller release of insulin in response toa test meal or glucose load than did HC subjects (d ¼ 0.54, z ¼1.96, P ¼ 0.05). This effect was not observed in persons withAN alone (P ¼ 0.110). Heterogeneity across the studies wasmoderately high (v2

9 ¼ 32.48, P ¼ 0.000, I2 ¼ 72.3%).

Pancreatic polypeptide

Five studies investigated the PP response: 3 in AN alone (34,37, 39) and 1 in BN (11). Fujimoto et al (33) investigated ANand BN and identified the AN subtypes AN and AN1BN (AN-BP). However, this study did not contain raw data for thebaseline hormone concentrations and thus could only be in-cluded in the meta-analysis of the MMC in hormone concen-tration. All subjects were female, with the exception of 2 malesubjects in the study by Kinzig et al (39). The subjects ranged inage between 15 and 27 y across the 5 studies. ED patients werediagnosed according to DSM-III or DSM-IV criteria. One studydid not state the diagnostic criteria (37). Sample sizes variedbetween 5 and 13 subjects in the ED groups, with a mean of 10subjects. No differences were found in baseline PP concen-trations between the ED and HC groups (Figure 9; P ¼ 0.203)

FIGURE 6. Forest plot showing the summarized results and effect sizes(with 95% CIs) for mean maximal changes in plasma cholecystokininconcentrations after a test meal or glucose load in different subtypes ofeating disorder (ED) patients and healthy control (HC) subjects. ,anorexia nervosa; , anorexia nervosa binge-purging type; , bulimianervosa. 1Oral-glucose-tolerance test. 2Solid test meal.

FIGURE 7. Forest plot showing the summarized results and effect sizes(with 95% CIs) for baseline plasma insulin concentrations in differentsubtypes of eating disorder (ED) patients and healthy control (HC)subjects. , anorexia nervosa; , anorexia nervosa restricting type; ,anorexia nervosa binge-purging type; , bulimia nervosa. 1Oral-glucose-tolerance test. 2Solid test meal.

FIGURE 8. Forest plot showing the summarized results and effect sizes(with 95% CIs) for mean maximal changes in plasma insulin concentrationsafter a test meal or glucose load in different subtypes of eating disorder (ED)patients and healthy control (HC) subjects. , anorexia nervosa; , anorexianervosa restricting type; , anorexia nervosa binge-purging type; ,bulimia nervosa. 1Oral-glucose-tolerance test. 2Solid test meal.

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or in postprandial release (Figure 10; P ¼ 0.988). Heterogeneitywas high in the stimulated condition (v2

7 ¼ 68.83, P ¼ 0.000,I2 ¼ 89.8%).

Remaining hormones

GIP was only investigated in ED patients with AN in 2 studies,and the findings are mixed. Stock et al (26) found that baseline GIPconcentrations were significantly lower in the AN group than inthe HC group, whereas, Tomasik et al (13, 34) found significantlyhigher GIP concentrations in the AN group. In response to the testmeal, Stock et al found a significantly lower GIP peak in the ANgroup, although a significant (2 to 3 times) increase in GIP con-centrations was observed in both the AN and HC groups. Con-versely, Tomasik et al found that the integrated output of GIP inboth the oral-glucose-load and test-meal conditions was signifi-cantly higher in the AN group than in the HC group.

Mean basal GLP-1 concentrations were significantly lower inthe AN than in the HC group (12, 13, 34). After the oral glucoseload, mean integrated GLP-1 outputs were twice as high in bothgroups as after the test meal; however, mean integrated outputswere significantly higher in the HC group than in the AN groupin both tests (34). No other studies examined GLP-1 concentrationsand the response to food. Pirke et al (14) observed that all groupsshowed a significant increase in somatostatin secretion after thetest meal and that the AN subjects showed a significantly greaterincrease than both the HC and weight-restored AN subjects.

Glucagon concentrations were examined in both the BN (11)and AN (34) subjects. No significant differences were foundbetween BN and HC for either baseline plasma glucagon con-centration or the glucagon decline curve and the subsequentincrease. Baseline glucagon concentrations were significantlylower in the AN group than in the HC group. The integratedoutput of glucagon after both the oral glucose test and the testmeal was higher in the AN than in the HC group. In the ANgroup, glucagon increased initially 15 min after the test mealand then decreased rapidly; this was not observed in the HCgroup. Gastrin response was examined in one study only andwas found to be significantly lower in the AN group than in the

HC group (37). The AN subjects also showed significantly lowerbasal gastrin concentrations.

DISCUSSION

We synthesized the results on baseline and short-term phys-iologic response to food from 24 studies that fulfilled our inclusioncriteria. The only hormones for which there were sufficient studiesto conduct a meta-analysis were ghrelin, PYY, CCK, insulin, andPP. The results were highly heterogeneous, most of the studieswere small, and the diagnostic and symptomatic subgroups werepoorly defined; therefore, the conclusions are limited. Persons withED had higher baseline concentrations of ghrelin (large effect,especially in AN) and PYY (medium effect), which agrees withour first hypothesis. These groups also showed increased baselineconcentrations of CCK (medium effect for the ED group, verylarge effect for the AN group). There was insufficient evidence tocompare differences between restricting and binge-eating groups.BMI was significantly lower in the AN groups than in the HCgroups. This may have physiologic implications for the release ofgut hormones at baseline. To assess the impact of a low BMI,a review of the long-term changes in plasma hormone concen-trations in AN patients would be helpful, comparing values beforeand after weight restoration.

There was no support for the second part of our hypothesis,which was that the hormonal response to a standardized test mealwould be disturbed. The lack of standardization of meals acrossstudies is considered a limitation. The release of the gut peptidesghrelin, PYY, and CCK to a meal was within the normal rangeacross studies, as defined by a comparison of mean hormoneresponses in the ED groups with those of an HC group, con-sidered in this case to be showing ‘‘normal’’ responses. Althoughthere was an insufficient number of studies that examined theghrelin response to a test meal in BN, the data indicate that theghrelin responses in this subtype are blunted (20–22). This mayresult in a diminished sensation of satiety with implicationsfor continued binge-purge behaviors. Further study is required.Blunted or reversed PYY responses in BN were also observed in2 studies (21, 22). Insulin was the only hormone to have

FIGURE 9. Forest plot showing the summarized results and effect sizes(with 95% CIs) for mean baseline plasma pancreatic polypeptideconcentrations in different subtypes of eating disorder (ED) patients andhealthy control (HC) subjects. , anorexia nervosa; , bulimia nervosa.1Oral-glucose-tolerance test. 2Solid test meal.

FIGURE 10. Forest plot showing the summarized results and effect sizes(with 95% CIs) for mean maximal changes in plasma pancreatic polypeptideconcentrations after a test meal or glucose load in different subtypes ofeating disorder (ED) patients and healthy control (HC) subjects. ,anorexia nervosa; , anorexia nervosa binge-purging type; , bulimianervosa. 1Oral-glucose-tolerance test. 2Solid test meal.

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a medium effect in ED patients, which showed a trend towarda decreased release of insulin in response to a test meal orglucose load as compared with HC subjects. This observationagrees with previous reports that persons with AN have an in-creased sensitivity to insulin and a reduced insulin response (3, 26).

Elevated ghrelin concentrations at baseline mightbe expected inpersons with an ED, particularly those with AN, because thishormone acts to increase food intake. The increase in baselineconcentrations of CCK and PYY in AN is somewhat surprisingbecause these gut hormones act to suppress appetite. However, inmany studies, the confidence limits overlapped zero. It is possiblethat the baseline results are more susceptible to confounding byfactors such as time since last meal and stress levels than are theresultsof the morestandardized procedure, ie, themeal.The timingof the hormone responses to food was extremely variable across allstudies, and limited conclusions could be drawn from the data.

Overall, a high degree of heterogeneity was observed betweenthe studies. Many factors may have accounted for these highlydivergent results, including differences in the clinical charac-teristics of the samples, technical differences in the protocol usedto administer the test meals and oral glucose loads (eg, differ-ences in the macronutrient composition of the meals and in mealpatterns before the study), and technical differences in themethods used to ascertain hormone concentrations (eg, the dif-ferentiation of active from inactive ghrelin or lack thereof, timingof meals, and sample collection time points). In particular, the testmeals were only standardized within studies, not between studies,and as such the variability in meal composition may act toconfound the results. In addition, the collection and preservationof the samples is a critical process because they can easily de-nature and some (eg, PYY) are released as part of a stress re-sponse.

The baseline concentrations differed in many cases betweenthe ED and HC groups. This may have consequences for thepostprandial hormone response patterns being examined. Asa result, use of the area under the curve may be a more validmeasure of response. However, because of the diverse nature ofthe reported data across the studies it was not possible to de-termine the area under the curve in sufficient cases.

There were also differences in the case mix, eg, inclusioncriteria, stage of illness, range of ED symptoms, vomiting,laxative and diuretic abuse, and comorbidity. Another potentiallyconfounding factor may have been the absence of raw data formany of the studies, which resulted in values being read from thepublished graphs. This may have led to inaccuracies in some ofthe data used in the meta-analyses. Much of the data presentedwere also recorded, analyzed, and reported differently across thestudies.

In conclusion, the data in part support our first hypothesis,which was that ED patients would have abnormal fasting hor-mone concentrations (ie, baseline ghrelin and PYY concen-trations were elevated). The finding of elevated baseline PYYandCCK concentrations was interesting, particularly in the ANgroups, because it would not be predicted as a secondary responseto starvation, but the confidence in this result is limited; therefore,additional high-quality studies are needed. A review and meta-analysis of studies in patients before and after recovery wouldalso confirm or reject the hypothesis that these disturbances arestate- rather than trait-related. The data suggest that the hormonalresponse to food is disturbed to a greater extent in BN, which may

contribute to certain behavioral aspects of the disorder. However,again, more high-quality studies are required to further explorethis hypothesis.

Another area of interest is the interaction between the gut andthebrain,specificallyhowgastrointestinalresponsesmaynotsimplyimpact food-related pathways, but may have broader aspects ofreward. Obesity-prone rats have abnormalities in their dopaminesystem—a key component of hedonic regulation (40). Gut hor-mones, such as PYY, in humans alter brain activation in theselimbic areas (41). Also, links exist between feeding and emotion(42), and ghrelin may serve as a defense against depressivesymptoms of chronic stress (43). Unraveling and identifying theselinks and the underlying mechanisms is key to our understandingof both the development, onset, and maintenance of EDs.

We acknowledge the support of the ARIADNE program (Applied Research

into Anorexia Nervosa and Not Otherwise Specified Eating Disorders), which

was funded by a Department of Health NIHR Programme Grant for Applied

Research (reference number RP-PG-0606-1043) to U Schmidt, J Treasure, K

Tchanturia, H Startup, S Ringwood, S Landau, M Grover, I Eisler, I Campbell,

J Beecham, M Allen, and G Wolff. The views expressed herein are not nec-

essarily those of DH/NIHR. We also thank Carolina Lopez for her invaluable

assistance in the statistical analysis of the data and the Nina Jackson Foun-

dation for Research into Eating Disorders who fund Samantha Brooks.

The authors’ responsibilities were as follows—ACP: main author of the

manuscript; JT: initiated research topic, edited manuscript drafts, and pro-

vided invaluable guidance during paper selection, draft development, and final

submission; SJB: viewed and critiqued the manuscript and provided signif-

icant input in the early stages of the review in terms of idea development,

discussion of the topic, and practicalities of conducting a meta-analysis;

and DS: contributed to the statistical analysis of the data. None of the authors

declared a conflict of interest.

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