Jun Wang1,2, Guangyao Liu2,3, Pengfei Zhang1, Wenjing Huang1, Kai Ai4, and Jing Zhang2,3
1Second Clinical School, Lanzhou University, Lanzhou, China, 2Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China, 3Gansu Province Clinical Research Center for Functional and Molecular Imaging, Lanzhou University Second Hospital, Lanzhou, China, 4Department of clinical science, Philips Healthcare, Xi’an, China
Synopsis
Keywords: Gray Matter, fMRI (resting state)
Functional
connectivity is altered in patients with irritable bowel syndrome (IBS), but
its histological basis is unknown. We used resting-state fMRI imaging combined
with transcriptomics to examine changes in functional connectivity gradients in
IBS patients and their corresponding gene regulatory basis. The reduced
connectivity gradients and contractions in IBS patients compared to healthy
controls were mainly involved in primary sensory and cross-modal structural
domains and were associated with aberrant expression of genes related to
neurological development. These results reveal gradient dysfunction of
large-scale functional connectomes in IBS and elucidate the role of abnormal
gene-function connectivity in the disease.
Introduction
Irritable bowel syndrome (IBS) is a functional gastrointestinal disorders (FGID) characterized by chronic recurrent abdominal pain [1-4]. About 5.8%~17.5% of people suffer from the disease in the world [5], which brings additional economic burden. Functional imaging studies mainly focused on the detection of the neurological characteristics of visceral pain and visceral hypersensitivity in the central nervous system (CNS) of patients with IBS [6]. Due to the lack of verifiable pathological abnormalities and reliable biomarkers, the current understanding of the pathogenesis of IBS is not satisfactory. We used rsfMR imaging to study the global large-scale extensive cortical functional connectivity gradient of 54 IBS patients and 40 age matched controls, combined with transcriptional data to: (1) determine the changes of functional network gradient in IBS patients; (2) Check whether these changes are related to the brain expression of IBS related genes. Materials and Methods
According to Rome
IV diagnostic criteria, 54 IBS patients, and 40 healthy volunteers
(HC) were recruited during the same period with approved by the Ethics
Committee (shown as Table 1). Data were collected with Verio 3.0T MRI scanner
(Siemens, Erlangen, Germany). rs-fMRI images were acquired using EPI sequence
with the following parameters: repetition time/echo time = 2000/30 ms; field of
view = 256 × 256 mm; matrix = 128 × 128; and 36 interleaved axial slices with 3
mm thickness. We used fMRIPrep
(https://fmriprep.readthedocs.io/) for raw
data preprocessing.
Functional connectivity analysis was performed with the CONN toolbox. We
generated large-scale connectome gradients based on BrainSpace toolbox (https://github.com/MICA-MNI/BrainSpace). AHBA data
were mapped
into Schaefer atlas regions (400 × 400) using the abagen python toolbox
(https://github.com/rmarkello/abagen) to generate a 400 × 15632 region
transcription matrix. The first component of the PLS (PLS-1) consists of linear
combinations of weighted gene expression values that correlate most closely
with cortical maps of between-group differences. And
then, we used the clusterProfiler R package to examine the
enrichment of relevant gene features. Statistical analysis was performed using
SPSS version 25.0 (IBM). The comparison of group differences was performed
using a one-way ANOVA. A significance level of p < 0.05 was set.Results
We found that
the first three gradient explained 35.7% ± 3.0% of the total variance across
all individual. The principal gradient aligned along the gradient axis from the visual and
primary sensory-motor network (VSN/SMN) to the transmodal cortex (e.g.,
frontoparietal and DMN) (Fig. 1A), and the
main primary to cross-modal gradient explained 17.5% ± 2.9% of the total
connectivity variance. The second gradient (gradient 2) extends between the DMN
and the ventral attention network (VAN), and the third gradient (gradient 3)
running from areas commonly implicated in executive control network (ECN) to
the paralimbic cortex, which is overlapping with part of the DMN (Fig. 1B and C) [7-10]. Visual inspection
of the density map revealed a decrease in IBS extremes in gradient 1 relative
to the control range and at the same level in the other two gradients (Fig. 1D-F). On a brain-wide scale of
gradient 1, we found reduced functional separation between unimodal and
cross-modal networks in IBS, mainly including VIS, DMN, LIM, and VAN. A slight
increase in gradient values was found only in the FPN (Fig. 1H). In the whole-brain range of
gradient 2, the gradient value of the DMN network decreased, and the gradient
value increased in LIM, SMN, and VAN (Fig. 1I). The principal component of the
PLS regression defined a weighted sum of gene expression that explained 16.4%
of the variance (P<0.001, permutation test, Fig. 3A), mainly in high expression in
the posterior parietal-occipital region and low expression in the prefrontal
region (Fig. 2A). The regional mapping of this component was positively correlated
with the Z-map of gradient 1 (r = 0.309, p < 0.0001, Fig. 2B). We ranked genes according with
weights, where the top genes obtained after sorting in descending order
represent the up-regulated set, and those obtained after sorting in ascending
order represent the down-regulated set (Fig. 2D). We found that up and
down-regulated genes are involved in neurons system development enrichment (FDR
corrected q < 0.01, Fig. 3C and 3E).Discussion
In this study, we
examined whether IBS patients could identify alterations in large-scale
functional networks and the underlying genetic basis for such alterations using
rs-fMRI gradient maps. demonstrated graded dysfunction of large-scale
functional connectomes in IBS patients. Specifically, IBS patients exhibited
reduced connectome hierarchy and constriction, with the most pronounced changes
in sensory and trans-segmental gradient scores. These gradients were closely
related to transcriptional profiles, with the most relevant genes enriched for
neuron system development. There is evidence that IBS family aggregation is attributed to heredity or common environmental factors. Our findings provide genetic insights into the
neurobiological mechanisms of IBS related FC changes.Conclusion
In
summary, current study supported our hypotheses that
alterations of the gradient existed in individuals with IBS, and these
alterations were spatially related to gene expression. We further showed that
neuron system development genes were enriched for neurobiologically relevant
pathways. Together, our findings provide new insight into understanding the
altered coordination of structure in patients with IBS and may offer a new
endophenotype to further investigate the complex substrate of depression.Acknowledgements
No acknowledgements
found.References
1. Mohammadi, M., et al.
(2017). Serotonin Transporter Gene (SLC6A4) Polymorphism and Mucosal Serotonin
Levels in Southeastern Iranian Patients with Irritable Bowel Syndrome. Middle
East J Dig Dis, 9(1), 26-32. https://doi.org/10.15171/mejdd.2016.48
2. Tan,
X., et al. (2020). Study on the clinical mechanism of Tong-Xie-An-Chang
Decoction in the treatment of diarrheal irritable bowel syndrome based on
single-cell sequencing technology. Medicine (Baltimore), 99(52), e23868. https://doi.org/10.1097/md.0000000000023868
3. Løvmo,
S.D., et al. (2020). Mid and hindgut transcriptome profiling analysis of
Atlantic salmon (Salmon salar) under unpredictable chronic stress. R Soc Open
Sci, 7(2), 191480. https://doi.org/10.1098/rsos.191480
4. Borghini,
R., et al. (2017). New insights in IBS-like disorders: Pandora's box has been
opened; a review. Gastroenterol Hepatol Bed Bench, 10(2), 79-89.
5. Jin,
D.C., et al. (2016). Regulation of the serotonin transporter in the
pathogenesis of irritable bowel syndrome. World J Gastroenterol, 22(36),
8137-48. https://doi.org/10.3748/wjg.v22.i36.8137
6. Liu,
X., et al. (2017). Reduced Functional Connectivity Between the Hypothalamus and
High-order Cortical Regions in Adolescent Patients With Irritable Bowel
Syndrome. J Pediatr Gastroenterol Nutr, 65(5), 516-519. https://doi.org/10.1097/mpg.0000000000001611
7. Cross,
N., et al. (2021). Cortical gradients of functional connectivity are robust to
state-dependent changes following sleep deprivation. Neuroimage, 226, 117547. https://doi.org/10.1016/j.neuroimage.2020.117547
8. Margulies,
D.S., et al. (2016). Situating the default-mode network along a principal
gradient of macroscale cortical organization. Proc Natl Acad Sci U S A,
113(44), 12574-12579. https://doi.org/10.1073/pnas.1608282113
9. Hong,
S.J., et al. (2019). Atypical functional connectome hierarchy in autism. Nat
Commun, 10(1), 1022. https://doi.org/10.1038/s41467-019-08944-1
10. Buckner,
R.L. and D.S. Margulies. (2019). Macroscale cortical organization and a
default-like apex transmodal network in the marmoset monkey. Nat Commun, 10(1),
1976. https://doi.org/10.1038/s41467-019-09812-8