The Impact of Hypo- and Hyperglycemia on Cognition and Brain Development in Young Children with Type 1 Diabetes

Page created by Martin Kennedy
 
CONTINUE READING
Mini Review Article

                                                    Horm Res Paediatr                                                    Received: March 16, 2021
                                                                                                                         Accepted: May 21, 2021
                                                    DOI: 10.1159/000517352                                               Published online: July 9, 2021

The Impact of Hypo- and Hyperglycemia
on Cognition and Brain Development in
Young Children with Type 1 Diabetes
Michal Nevo-Shenker a Shlomit Shalitin a, b
aJesse Z. and Lea Shafer Institute of Endocrinology and Diabetes, Schneider Children’s Medical Center of

Israel, Petach Tikva, Israel; bSackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

Keywords                                                                 deficits manifest across multiple cognitive domains. More-
Type 1 diabetes · Hypoglycemia · Hyperglycemia · Brain                   over, impaired executive function and mental health can af-
function · Diabetes technology                                           fect patients’ adherence to treatment. This review summa-
                                                                         rizes the current data on the impact of glycemic extremes
                                                                         on brain structure and cognitive function in youth with T1D
Abstract                                                                 and the use of new diabetes technologies that may reduce
Human and experimental animal data suggest both hyper-                   these complications.                      © 2021 S. Karger AG, Basel
glycemia and hypoglycemia can lead to altered brain struc-
ture and neurocognitive function in type 1 diabetes (T1D).
Young children with T1D are prone to extreme fluctuations
in glucose levels. The overlap of these potential dysglyce-                  Introduction
mic insults to the brain during the time of most active brain
and cognitive development may cause cellular and struc-                     Type 1 diabetes (T1D) is among the most prevalent
tural injuries that appear to persist into adult life. Brain struc-      chronic illnesses diagnosed in childhood. Diabetes man-
ture and cognition in persons with T1D are influenced by                 agement in young children is quite challenging, as they
age of onset, exposure to glycemic extremes such as severe               are more prone to experience extreme fluctuations in glu-
hypoglycemic episodes, history of diabetic ketoacidosis,                 cose levels at a time when their developing brain is under-
persistent hyperglycemia, and glucose variability. Studies               going wide-ranging maturational changes [1]. The unique
using brain imaging techniques have shown brain changes                  properties of major neurodevelopmental changes during
that appear to be influenced by metabolic abnormalities                  early childhood have led to the hypotheses that the devel-
characteristic of diabetes, changes apparent at diagnosis                oping brain may be especially vulnerable to glycemic ex-
and persistent throughout adulthood. Some evidence sug-                  tremes, with lasting effects on its development and associ-
gests that brain injury might also directly contribute to psy-           ated cognition. The implementation of new diabetes
chological and mental health outcomes. Neurocognitive                    technologies may reduce these complications.

karger@karger.com      © 2021 S. Karger AG, Basel                        Correspondence to:
www.karger.com/hrp                                                       Shlomit Shalitin, shalitin @ netvision.net.il
Influence of T1D on Cerebral Structure and Cognitive          Therefore, it may be implied that neurodevelopment may
    Function                                                      be adversely affected by early-onset diabetes.
                                                                     Toprak et al. [9] also evaluated brain structure and
    Brain synaptic development and metabolic demands              neurocognitive functions in children with T1D as com-
vary throughout childhood and continue into young                 pared to age-matched healthy controls. Fractional anisot-
adulthood. Synaptic density increases rapidly during ear-         ropy (FA) and apparent diffusion coefficient (ADC) val-
ly postnatal cortical development, followed by a discrete         ues were calculated for both groups. Associations be-
period of synaptic pruning that typically occurs during           tween FA and ADC values and neurocognitive function
adolescence [2]. Total brain volume increases between             tests were investigated. Subjects with diabetes demon-
the ages of 1 and 6 years and by the age of 6 years reaches       strated significant changes in FA and ADC values in
approximately 90% of the adult brain volume [1, 3]. Total         widespread brain regions. Such changes could be early
gray matter (GM) volume, cortical volume, and average             features of injury to myelinated fibers or axonal degen-
cortical thickness all increase up to ages 9–11 years and         eration. Several studies assessing cognition in youth with
then begin to decrease during subsequent childhood and            early-onset diabetes have shown worse outcomes across
adolescence years as synaptic pruning occurs. In contrast,        a variety of cognitive domains – executive functions,
myelination of white matter (WM), as reflected in WM              learning, memory, and processing speed [10, 11].
volume, increases gradually throughout childhood, ado-               In a cohort of young children with T1D, with a median
lescence, and even early adulthood [3]. Simultaneously,           diabetes duration of approximately 4 years, Cato et al.
the young brain has a rapidly changing metabolic de-              [12] observed trends toward cognitive differences relative
mand. Between 2 and 3 months until 4 years of age, brain          to controls in areas of intellectual ability and executive
glucose use increases dramatically, reaching double the           functions after accounting for parental IQ and level of
rate of the adult brain by the end of the first decade of life,   parent-reported depression. However, cognitive domain
followed by a gradual reduction toward adult levels in the        scores did not differ between the groups after an 18-month
next decade [4].                                                  testing session and did not change significantly over the
    Research on brain structure and neurocognitive con-           follow-up period [13]. A recent study conducted in South
sequences of early-onset T1D and related glycemic vari-           Australia evaluated educational outcomes in children
ability is emerging. Studies comparing brain structure            with T1D while also comparing the effect of times from
and neuropsychological functioning in young children              T1D diagnosis (
Children and adolescents with T1D are more likely to         es. Perantie et al. [19] found significant differences be-
perform worse on tasks that require sustained attention,        tween young patients with T1D and healthy control
rapid processing speed, memory, and visuospatial func-          groups with regard to GM or WM. However, within the
tioning compared to their nondiabetic peers [11]. A me-         diabetic group, a history of severe hypoglycemia was as-
ta-analysis showed that executive functions, including          sociated with smaller GM volume in the left superior tem-
processes like working memory, attention, and response          poral region. The same group, in a prospective study, re-
inhibition, are particularly affected [16]. Nevertheless, a     ported that severe hypoglycemia experienced between
recent study from DirecNet [17] reported that despite           brain imaging scans was related to reduced WM volume
equivalent cognitive and behavioral functioning between         growth in the parietal occipital cortex over a 2-year time
children with T1D and age-matched nondiabetic con-              period [20]. Musen et al. [21] found, in patients with T1D
trols, young children with T1D exhibited increased acti-        with early-onset diabetes, lower levels of GM density as-
vation in executive control regions (e.g., dorsal anterior      sociated with worse glycemic control and higher frequen-
cingulate cortex, inferior frontal gyri, cerebellum, and su-    cy of recurrent severe, hypoglycemic events. However,
pramarginal gyri) during performance of an attention-           another retrospective study found no significant effects of
demanding task. The magnitudes of these increases were          severe hypoglycemia on WM integrity across the brain in
significantly correlated with deficits in deactivation of the   T1D youth [22]. Clearly, there is a lack of consistent find-
posterior node of the default mode network, suggesting a        ings of the impact of previous severe hypoglycemia on
putative compensatory role of brain function in T1D,            regional or whole brain volumes.
whereby higher activation in task-relevant regions acted            Many studies evaluated the magnitude and pattern of
both to offset T1D-related impairments in default mode          cognitive dysfunction in children with T1D and possible
network function and to facilitate behavioral perfor-           effects associated with severe hypoglycemia and poor
mance levels equivalent to those of their nondiabetic           cognitive outcomes [23–26]. A meta-analysis of 10 stud-
peers. Another study by the DirecNet group assessed             ies described the impact of severe hypoglycemic episodes
brain activation in children with T1D via functional MRI,       on cognitive function [27]. The severe hypoglycemia
while the children performed visuospatial working mem-          group included patients who had at least one severe hy-
ory tasks. The study showed that children with T1D per-         poglycemic episode, and the nonhypoglycemia group in-
formed the tasks less accurately, yet again functional MRI      cluded those with no hypoglycemic episodes. The perfor-
indicated increased activation of relevant brain regions        mance of T1D participants with severe hypoglycemia
(frontoparietal cortex, cerebellum, and thalamus), mean-        (n = 347) was compared to those without hypoglycemic
ing higher working memory load, presumably indicative           episodes (n = 364). Children with severe hypoglycemic
of compensatory mechanisms needed by the T1D group.             episodes were somewhat more impaired in overall cogni-
In this study, the end results showed that this compensa-       tion than children without hypoglycemia and showed
tion was not sufficiently effective to raise the T1D group’s    slightly lower performance in memory. In other cognitive
results to those of the control group. It is noteworthy that    domains, the effects were not significant. The results in-
the findings were more prominent in children with               dicated that children with severe hypoglycemia showed
younger age at T1D onset [18].                                  significantly poorer performance in overall cognition.
                                                                These findings are consistent with previous reviews and
                                                                developmental cognitive studies in children with recur-
   The Impact of Hypoglycemia on Cognitive Function             rent hypoglycemic episodes [24, 25].
   and Brain                                                        An additional sub-meta-analysis explored differences
                                                                in cognitive domains between children with early-onset
   The young age at diagnosis of T1D contributes to sig-        (up to 7 years of age) compared with late-onset severe hy-
nificant concerns regarding hypoglycemia. For different         poglycemia [27]. Children with early-onset severe hypo-
reasons, including lack of expressive language skills and       glycemia performed more poorly than those with late-
cognitive immaturity, young children may be unable to           onset severe hypoglycemia in overall cognition. These
reliably detect and/or report early symptoms of hypogly-        findings indicate that severe hypoglycemia experienced
cemia.                                                          early in development might be more harmful to cognitive
   Several studies of patients with childhood-onset T1D         performance than severe hypoglycemia later in life. In the
documented associations between severe hypoglycemia             latter meta-analysis [27], a subgroup analysis evaluated
(with seizures or loss of consciousness) and brain chang-       the cross-sectional and longitudinal studies. Cross-sec-

Cognition and Brain Development in                              Horm Res Paediatr                                         3
Young Children with Diabetes                                    DOI: 10.1159/000517352
tional studies showed that the effects of severe hypogly-     ferences in WM microstructure persisted over time.
cemia on cognitive dysfunction were significant; howev-       Within the diabetes group, lower exposure to hyperglyce-
er, longitudinal studies suggested that severe hypoglyce-     mia, averaged over time since diagnosis, was associated
mia episodes were not associated with cognitive               with higher FA, which in turn was positively correlated
dysfunction. Hence, severe hypoglycemia might be a            with performance and full-scale IQ. These studies pro-
plausible cause of cognitive decline in children with T1D.    vide strong evidence that the developing brain is a vulner-
Thus, more longitudinal studies are needed to fully ad-       able target for hyperglycemia with altered WM develop-
dress the long-term effects of severe hypoglycemia on         ment, which may contribute to the mild cognitive deficits
cognitive dysfunction.                                        in this population.
                                                                 Several mechanisms for the observed slower total and
                                                              regional brain growth in children with T1D may be opera-
    The Impact of Hyperglycemia and Glucose                   tive. Chronic hyperglycemia can lead to formation of ad-
    Variability on the Brain and Cognitive Function           vanced glycation end products and their receptors, nucle-
                                                              ar factor-κB, greater increased oxidative stress, and even
   Chronic hyperglycemia exposure may also affect the         neurodegeneration [32–34]. These glycemic correlations
brain, targeting both GM and WM volume in youth with          support the notion that increased glucose variability may
T1D. Using structural MRI, Marzelli and colleagues [28]       damage developing neurons and myelin in children with
found that young children with T1D with a history of sig-     T1D and are congruent with observations from strepto-
nificant hyperglycemia exhibited decreased GM volume          zotocin-induced diabetes animal models that show in vivo
in key brain regions associated with cognitive capacities,    degenerative changes of neurons and glia, disarrangement
compared to healthy control participants. The associa-        of myelin sheaths, and reduced myelin content with hy-
tion between glycemic variability, particularly hypergly-     perglycemia [34]. Changes in brain sphingolipid composi-
cemia, and cognitive function was more pronounced in          tion (ceramides and sphingomyelin) induced by hypergly-
young children with earlier onset and longer duration of      cemia may also provoke membrane rearrangements in
diabetes, further highlighting the brain’s vulnerability in   some cell populations, which can disturb cellular signaling
this age group. In this same sample from the DirecNet         and cause brain tissue damage [35]. The ultimate mecha-
study, Cato and colleagues [29] reported trending asso-       nism of the observed changes is likely multifactorial.
ciations among executive functioning, learning/memory,           Central nervous system insult to children with early-
and hyperglycemia, suggesting that the structural brain       onset diabetes may have a delayed, progressive, and cu-
changes in youth with diabetes have a subtle yet measur-      mulative impact on neuropsychological outcomes and
able impact on cognition as early as 2 years after T1D on-    cognition over time. These outcomes might be subtle in
set. These data suggest that glycemic dysregulation or        terms of cognition but appear to persist into adult life
variability has significant implications for young children   [36]. Concurrent baseline neuroimaging analysis per-
and brain structure and function.                             formed by DirecNet supports the hypothesis that WM
   A large cohort of young children (age 4 to
Table 1. The main findings on the effect of hypo- and hyperglycemia on the brain

Effect of hypoglycemia on the brain                             Effect of hyperglycemia on the brain

GM                                                              GM
Lower levels of GM density (in early-onset DM) [21]             Less growth of cortical GM [5]
Smaller volume in left superior temporal region [19]            Decreased volume [7, 28]
WM                                                              WM
Less growth of WM volume in the cortex and cerebellum [5]       Lower volume [7]
Reduced volume growth in the parietal occipital cortex [20]     Decreased WM development [5, 30]
No significant effect on WM integrity [22]                      Altered WM microstructure [31]
Cognitive function                                              Cognitive function
Poor performance in overall cognition, lower memory             Lower cognitive scores [7, 28, 31]
performance [24, 25, 27]                                        Lower overall intellectual function [15]
Poorer overall performance in early-onset diabetes              Impaired executive function [29, 42]
(age
siblings without diabetes. Results showed that after con-      mate insulin delivery in a glucose-responsive manner (ar-
trolling for age, sex, and multiple comparisons, the T1D       tificial pancreas).
group had lower volume in the left temporal-parietal-oc-           CGM use among very young children is feasible and
cipital cortex compared with controls. Within the T1D          enables reduction of both time spent in hypoglycemia and
group, DKA at presentation was associated with lower           glucose variability. A recent study by the Strategies to En-
radial, axial, and mean diffusivity throughout major WM        hance New CGM Use in Early Childhood study group
tracts. Higher HbA1c was associated with lower hippo-          (SENCE) evaluated the effects of CGM with or without
campal, thalamic, and cerebellar WM volumes, lower             family behavioral intervention on glycemic outcomes in
right posterior parietal cortical thickness, and greater       young children (2–8 years). The study showed improve-
right occipital cortical thickness. These data suggest that    ment in critical glycemic measures in the CGM group
severity of clinical presentation is an important factor in    (time spent in hypoglycemia, number of severe hypoglyce-
predicting brain structural differences in youth with T1D.     mic events, and glucose variability), emphasizing the yield
   Another recent study among young children with T1D          of CGM use in this young age group [53]. A Slovenian pop-
who participated in the DirecNet study examined wheth-         ulation-based cohort assessing the correlation between
er a history of DKA was associated with changes in lon-        CGM use and glucose variability in young children (age
with
5 Mazaika PK, Weinzimer SA, Mauras N,                18 Foland-Ross LC, Tong G, Mauras N, Cato A,          31 Fox LA, Hershey T, Mauras N, Arbeláez AM,
   Buckingham B, White NH, Tsalikian E, et al.           Aye T, Tansey M, et al. DirecNet. Brain func-         Tamborlane WV, Buckingham B, et al. Direc-
   Variations in brain volume and growth in              tion differences in children with type 1 diabe-       Net. Persistence of abnormalities in white
   young children with type 1 diabetes. Diabetes.        tes: an fMRI study of working memory. Dia-            matter in children with type 1 diabetes. Dia-
   2016 Feb;65(2):476–85.                                betes. 2020 Aug;69(8):1770–8.                         betologia. 2018 Apr;61(7):1538–154.
 6 Foland-Ross LC, Reiss AL, Mazaika PK, Mau-         19 Perantie DC, Wu J, Koller JM, Lim A, Warren        32 Aragno M, Mastrocola R, Medana C, Restivo
   ras N, Weinzimer SA, Aye T, et al. Longitudi-         SL, Black KJ, et al. Regional brain volume dif-       F, Catalano MG, Pons N, et al. Up-regulation
   nal assessment of hippocampus structure in            ferences associated with hyperglycemia and            of advanced glycated products receptors in
   children with type 1 diabetes. Pediatr Diabe-         severe hypoglycemia in youth with type 1 dia-         the brain of diabetic rats is prevented by anti-
   tes. 2018 Apr;19(6):1116–23.                          betes. Diabetes Care. 2007 Sep;30(9):2331–7.          oxidant treatment. Endocrinology. 2005 Dec;
 7 Mauras N, Buckingham B, White NH, Tsali-           20 Perantie DC, Koller JM, Weaver PM, Lugar              146:5561–7.
   kian E, Weinzimer SA, Jo B, et al. Impact of          HM, Black KJ, White NH, et al. Prospectively       33 King GL, Loeken MR. Hyperglycemia-in-
   type 1 diabetes in the developing brain in chil-      determined impact of type 1 diabetes on brain         duced oxidative stress in diabetic complica-
   dren: a longitudinal study. Diabetes Care.            volume during development. Diabetes. 2011             tions. Histochem Cell Biol. 2004 Oct; 122:
   2021 Apr;44(4):983–92.                                Nov;60(11):3006–14.                                   333–8.
 8 Ferguson SC, Blane A, Wardlaw J, Frier BM,         21 Musen G, Lyoo IK, Sparks CR, Weinger K,            34 Wang X, Yu S, Hu JP, Wang CY, Wang Y, Liu
   Perros P, McCrimmon RJ, et al. Influence of           Hwang J, Ryan CM, et al. Effects of type 1 di-        HX, et al. Streptozotocin-induced diabetes in-
   an early-onset age of type 1 diabetes on cere-        abetes on gray matter density as measured by          creases amyloid plaque deposition in AD
   bral structure and cognitive function. Diabe-         voxel-based morphometry. Diabetes. 2006               transgenic mice through modulating AGEs/
   tes Care. 2005 Jun;28(6):1431–7.                      Feb;55:326–33.                                        RAGE/NF-κB pathway. Int J Neurosci. 2014
 9 Toprak H, Yetis H, Alkan A, Filiz M, Kurtcan       22 Antenor-Dorsey JA, Meyer E, Rutlin J, Peran-          Aug;124:601–8.
   S, Aralasmak A, et al. Relationships of DTI           tie DC, White NH, Arbelaez AM, et al. White        35 Fiedorowicz A, Prokopiuk S, Zendzian-Pi-
   findings with neurocognitive dysfunction in           matter microstructural integrity in youth             otrowska M, Chabowski A, Car H. Sphingo-
   children with Type 1 diabetes mellitus. Br J          with type 1 diabetes. Diabetes. 2013 Feb; 62:         lipid profiles are altered in prefrontal cortex
   Radiol. 2016 Jan;89(1059):20150680.                   581–9.                                                of rats under acute hyperglycemia. Neurosci-
10 Ly TT, Anderson M, McNamara KA, Davis              23 Blasetti A, Chiuri RM, Tocco AM, Di Giulio            ence. 2014 Jan;256:282–91.
   EA, Jones TW. Neurocognitive outcomes in              C, Mattei PA, Ballone E, et al. The effect of      36 Jacobson AM, Ryan CM, Cleary PA, Waber-
   young adults with early-onset type 1 diabetes:        recurrent severe hypoglycemia on cognitive            ski BH, Weinger K, Musen G, et al. Biomedi-
   a prospective follow-up study. Diabetes Care.         performance in children with type 1 diabetes:         cal risk factors for decreased cognitive func-
   2011 Oct;34(10):2192–7.                               a meta-analysis. J Child Neurol. 2011 Nov;            tioning in type 1 diabetes: an 18 year follow-
11 Gaudieri PA, Chen R, Greer TF, Holmes CS.             26(11):1383–91.                                       up of the diabetes control and complications
   Cognitive function in children with type 1 di-     24 Hershey T, Lillie R, Sadler M, White NH. Se-          trial (DCCT) cohort. Diabetologia. 2011 Feb;
   abetes: a meta-analysis. Diabetes Care. 2008          vere hypoglycemia and long-term spatial               54(2):245–55.
   Sep;31(9):1892–7.                                     memory in children with type 1 diabetes mel-       37 Kirchhoff BA, Jundt DK, Doty T, Hershey T.
12 Cato MA, Mauras N, Ambrosino J, Bondu-                litus: a retrospective study. J Int Neuropsy-         A longitudinal investigation of cognitive
   rant A, Conrad AL, Kollman C, et al. Direc-           chol Soc. 2003 Jul;9(5):740–50.                       function in children and adolescents with
   Net. Cognitive functioning in young children       25 Hershey T, Perantie DC, Warren SL, Zim-               type 1 diabetes mellitus. Pediatr Diabetes.
   with type 1 diabetes. J Int Neuropsychol Soc.         merman EC, Sadler M, White NH. Frequency              2017 Sep;18(6):443–9.
   2014 Feb;20(2):238–47.                                and timing of severe hypoglycemia affects          38 He J, Ryder AG, Li S, Liu W, Zhu X. Glycemic
13 Cato MA, Mauras N, Mazaika P, Kollman C,              spatial memory in children with type 1 diabe-         extremes are related to cognitive dysfunction
   Cheng P, Aye T, et al. DirecNet. Longitudinal         tes. Diabetes Care. 2005 Oct;28:2372–7.               in children with type 1 diabetes: a meta-anal-
   evaluation of cognitive functioning in young       26 Perantie DC, Lim A, Wu J, Weaver P, Warren            ysis. J Diabetes Investig. 2018 Nov;9(6):1342–
   children with type 1 diabetes over 18 months.         SL, Sadler M, et al. Effects of prior hypoglyce-      53.
   J Int Neuropsychol Soc. 2016 Mar;22(3):293–           mia and hyperglycemia on cognition in chil-        39 Northam EA, Cameron FJ. Understanding
   302.                                                  dren with type 1 diabetes mellitus. Pediatr           the diabetic brain: new technologies but old
14 Begum M, Chittleborough C, Pilkington R,              Diabetes. 2008 Apr;9(2):87–95.                        challenges. Diabetes. 2013 Feb;62:341–2.
   Mittinty M, Lynch J, Penno M, et al. Educa-        27 He J, Ryder AG, Li S, Liu W, Zhu X. Glycemic       40 Piconi L, Quagliaro L, Assaloni R, Da Ros R,
   tional outcomes among children with type 1            extremes are related to cognitive dysfunction         Maier A, Zuodar G, et al. Constant and inter-
   diabetes: whole-of-population linked-data             in children with type 1 diabetes: a meta-anal-        mittent high glucose enhances endothelial
   study. Pediatr Diabetes. 2020 Nov; 21: 1353–          ysis. J Diabetes Investig. 2018 Nov;9(6):1342–        cell apoptosis through mitochondrial super-
   61.                                                   53.                                                   oxide overproduction. Diabetes Metab Res
15 Aye T, Reiss AL, Kesler S, Hoang S, Drobny J,      28 Marzelli MJ, Mazaika PK, Barnea-Goraly N,             Rev. 2006 May–Jun;22:198–203.
   Park Y, et al. The feasibility of detecting neu-      Hershey T, Tsalikian E, Tamborlane W, et al.       41 Arbelaez AM, Semenkovich K, Hershey T.
   ropsychologic and neuroanatomic effects of            DirecNet. Neuroanatomical correlates of dys-          Glycemic extremes in youth with T1DM: ef-
   type 1 diabetes in young children. Diabetes           glycemia in young children with type 1 diabe-         fects on the developing brain’s structural and
   Care. 2011 Jul;34(7):1458–62.                         tes. Diabetes. 2014 Jan;63:343–53.                    functional integrity. Pediatr Diabetes. 2013
16 Broadley MM, White MJ, Andrew B. A sys-            29 Cato MA, Mauras N, Ambrosino J, Bondu-                Dec;14:541–53.
   tematic review and meta-analysis of executive         rant A, Conrad AL, Kollman C, et al. Cogni-        42 Cameron FJ, Northam EA, Ryan CM. The ef-
   function performance in type 1 diabetes mel-          tive functioning in young children with type          fect of type 1 diabetes on the developing brain.
   litus. Psychosom Med. 2017 Jul/Aug; 79(6):            1 diabetes. J Int Neuropsychol Soc. 2014 Feb;         Lancet Child Adolesc Health. 2019 Jun; 3(6):
   684–96.                                               20:238–47.                                            427–36.
17 Foland-Ross LC, Buckingam B, Mauras N,             30 Mauras N, Mazaika P, Buckingham B, Weinz-          43 Siller AF, Lugar H, Rutlin J, Koller JM, Se-
   Arbelaez AM, Tamborlane WV, Tsalikian E,              imer S, White NH, Tsalikian E, et al. Longitu-        menkovich K, White NH, et al. Severity of
   et al. DirecNet. Executive task-based brain           dinal assessment of neuroanatomical and               clinical presentation in youth with type 1 dia-
   function in children with type 1 diabetes: an         cognitive differences in young children with          betes is associated with differences in brain
   observational study. PLoS Med. 2019 Dec;              type 1 diabetes: association with hyperglyce-         structure. Pediatr Diabetes. 2017 Dec;18:686–
   16(12):e1002979.                                      mia. Diabetes. 2015 May;64(5):1770–9.                 95.

8                          Horm Res Paediatr                                                                Nevo-Shenker/Shalitin
                           DOI: 10.1159/000517352
44 Jessup AB, Grimley MB, Meyer E, Passmore          53 DiMeglio L, Kanapka LG, DeSalvo DJ, Hill-              does a predictive low glucose suspend (PLGS)
   GP, Belger A, Hoffman WH, et al. Effects of          iard ME, Laffel LM, Tamborlane WV, et al.              system tackle pediatric lifespan challenges in
   diabetic ketoacidosis on visual and verbal           Strategies to enhance new CGM Use in Early             diabetes treatment? Real world data analysis.
   neurocognitive function in young patients            Childhood (SENCE) Study Group. A ran-                  Pediatr Diabetes. 2020 Mar;21(2):280–7.
   presenting with new-onset type 1 diabetes. J         domized clinical trial assessing continuous       61   Tauschmann M, Allen JM, Nagl K, Fritsch M,
   Clin Res Pediatr Endocrinol. 2015 Sep;7:203–         glucose monitoring (CGM) use with stan-                Yong J, Metcalfe E, et al. Home use of day-
   10.                                                  dardized education with or without a family            and-night hybrid closed-loop insulin delivery
45 Vavilala MS, Marro KI, Richards TL, Roberts          behavioral intervention compared with fin-             in very young children: a multicenter, 3-week,
   JS, Curry P, Pihoker C, et al. Change in mean        gerstick blood glucose monitoring in very              randomized trial. Diabetes Care. 2019 Apr;
   transit time, apparent diffusion coefficient,        young children with type 1 diabetes. Diabetes          42(4):594–600.
   and cerebral blood volume during pediatric           Care. 2021 Feb;44(2):464–72.                      62   Kanapka LG, Wadwa RP, Breton MD, Ruedy
   diabetic ketoacidosis treatment. Pediatr Crit     54 Dovc K, Cargnelutti K, Sturm A, Selb J, Bra-           KJ, Ekhlaspour L, Forlenza GP, et al. Extend-
   Care Med. 2011 Nov;12(6):e344–9.                     tina N, Battelino T. Continuous glucose mon-           ed use of the control-IQ closed-loop control
46 Glaser N, Ngo C, Anderson S, Yuen N, Trifu           itoring use and glucose variability in pre-            system in children with type 1 diabetes. Dia-
   A, O'Donnell M. Effects of hyperglycemia and         school children with type 1 diabetes. Diabetes         betes Care. 2021 Feb;44(2):473–8.
   effects of ketosis on cerebral perfusion, cere-      Res Clin Pract. 2019;147:76–80.                   63   Ekhlaspour L, Schoelwer MJ, Forlenza GP,
   bral water distribution, and cerebral metabo-     55 Johansen A, Kanijo B, Fredheim S, Olsen B,             Deboer MD, Norlander L, Hsu L, et al. Safety
   lism. Diabetes. 2012 Jul;61:1831–7.                  Hertz B, Lauridsen MH, et al. Prevalence and           and performance of the tandem t:slim X2 with
47 Ghetti S, Lee JK, Sims CE, Demaster DM, Gla-         predictors of severe hypoglycemia in Danish            control-IQ automated insulin delivery system
   ser NS. Diabetic ketoacidosis and memory             children and adolescents with diabetes. Pedi-          in toddlers and preschoolers. Diabetes Tech-
   dysfunction in children with type 1 diabetes.        atr Diabetes. 2015 Aug;16(5):354–60.                   nol Ther. 2021 May;23(5):384–91.
   J Pediatr. 2010 Jan;156:109–14.                   56 Forlenza GP, Pinhas-Hamiel O, Liljenquist         64   Sherr JL, Buckingham BA, Forlenza GP,
48 Semenkovich K, Bischoff A, Doty T, Nelson S,         DR, Shulman DI, Bailey TS, Bode BW, et al.             Galderisi A, Ekhlaspour L, Wadwa RP, et al.
   Siller AF, Hershey T, et al. Clinical presenta-      Safety evaluation of the MiniMed 670G sys-             Safety and performance of the Omnipod hy-
   tion and memory function in youth with type          tem in children 7–13 years of age with type 1          brid closed-loop system in adults, adoles-
   1 diabetes. Pediatr Diabetes. 2016 Nov; 17:          diabetes. Diabetes Technol Ther. 2019 Jan;             cents, and children with type 1 diabetes over
   492–9.                                               21(1):11–9.                                            5 days under free-living conditions. Diabetes
49 Siller AF, Lugar H, Rutlin J, Koller JM, Se-      57 Forlenza GP, Li Z, Buckingham BA, Pinsker              Technol Ther. 2020;22(3):174–84.
   menkovich K, White NH, et al. Severity of            JE, Cengiz E, Wadwa RP, et al. Predictive low-    65   Forlenza GP, Buckingham BA, Brown SA,
   clinical presentation in youth with type 1 dia-      glucose suspend reduces hypoglycemia in                Bode BW, Levy CJ, Criego AB, et al. First out-
   betes is associated with differences in brain        adults, adolescents, and children with type 1          patient evaluation of a tubeless automated in-
   structure. Pediatr Diabetes. 2017 Dec; 18(8):        diabetes in an at-home randomized crossover            sulin delivery system with customizable glu-
   686–95.                                              study: results of the PROLOG trial. Diabetes           cose targets in children and adults with type 1
50 Aye T, Mazaika PK, Mauras N, Marzelli MJ,            Care. 2018 Oct;41(10):2155–61.                         diabetes. Diabetes Technol Ther. 2021;23:6.
   Shen H, Hershey T, et al. DirecNet. Impact of     58 Biester T, Kordonouri O, Holder M, Remus          66   Fuchs J, Allen JM, Boughton CK, Wilinska
   early diabetic ketoacidosis on the developing        K, Kieninger-Baum D, Wadien T, et al. “Let             ME, Thankamony A, de Beaufort C, et al. As-
   brain. Diabetes Care. 2019 Mar;42(3):443–9.          the algorithm do the work”: reduction of hy-           sessing the efficacy, safety and utility of
51 Ghetti S, Kuppermann N, Rewers A, Myers              poglycemia using sensor-augmented pump                 closed-loop insulin delivery compared with
   SR, Schunk JE, Stoner MJ, et al. Pediatric           therapy with predictive insulin suspension             sensor-augmented pump therapy in very
   emergency care applied research network              (SmartGuard) in pediatric type 1 diabetes pa-          young children with type 1 diabetes (Kid-
   (PECARN) DKA FLUID Study Group. Cog-                 tients. Diabetes Technol Ther. 2017 Mar;               sAP02 study): an open-label, multicentre,
   nitive function following diabetic ketoacido-        19(3):173–82.                                          multinational, randomised cross-over study
   sis in children with new-onset or previously      59 Battelino T, Nimri R, Dovc K, Phillip M, Bra-          protocol. BMJ Open. 2021;11(2):e042790.
   diagnosed type 1 diabetes. Diabetes Care.            tina N. Prevention of hypoglycemia with pre-      67   Petruzelkova L, Jiranova P, Soupal J, Kozak
   2020 Nov;43(11):2768–75.                             dictive low glucose insulin suspension in chil-        M, Plachy L, Neuman V, et al. Pre-school and
52 Foster NC, Beck RW, Miller KM, Clements              dren with type 1 diabetes: a randomized con-           school-aged children benefit from the switch
   MA, Rickels MR, DiMeglio LA, et al. State of         trolled trial. Diabetes Care. 2017 Jun; 40(6):         from a sensor-augmented pump to an An-
   type 1 diabetes management and outcomes              764–70.                                                droidAPS hybrid closed loop: a retrospective
   from the T1D Exchange in 2016–2018. Diabe-        60 Gaweł WB, Deja G, Kamińska H, Tabor A,                 analysis. Pediatr Diabetes. 2021; 22(4): 594–
   tes Technol Ther. 2019 Feb;21:66–72.                 Skała-Zamorowska E, Jarosz-Chobot P. How               604.

Cognition and Brain Development in                                             Horm Res Paediatr                                                            9
Young Children with Diabetes                                                   DOI: 10.1159/000517352
You can also read