Introduction

Chronic pain affects up to 20% of the global population and presents a significant therapeutic challenge1. Chronic pain is known to impact feeding behavior2 and eating disorders may aggravating pain3. Furthermore, eating disorders may increase incidence of mental disorders and suicide high-risk in patients4. However, mechanism underlying the feed-back between chronic pain and feeding behaviors remains largely unknown. Current treatments are mainly by following the principles of a healthy diet, the physiological homeostasis can be managed, as well as faster recovery from disease achieved5. Although dietary therapies are rapidly becoming first-line treatment of chronic visceral pain, negative effects and warning symptoms of poor eating patterns can also occur. Therefore, it is important to expound the mechanisms of food preference and to provide a therapeutic directions and theoretical basis for pain management. Here, a mouse model induced by neonatal colonic inflammation (NCI) was used, as NCI has been shown to induce chronic visceral pain in adult rats and mice6,7. Overall, the aim of this study was to explore the neural circuitry underlying changes in food preference associated with chronic visceral pain in an NCI mouse model.

Some several brain regions involved in the modulation of pain processing, including the claustrum(CL)8, paraventricular thalamus(PVT)9, anterior cingulate cortex (ACC)10,11, lateral septal nucleus(LS)12, and paraventricular hypothalamus (PVH)13. Notably, the PVH receives sensory input from the thalamus, which modulates pain-induced fear and aversion14. Additionally, the PVH projects to the cortex and thalamus, playing an important role in processing pain information13,15. Together, these features suggest that the PVH is an important brain region for the regulation of pain and other pain-induced disorders. Activation of PVH neuron-projecting fibers in the ACC reduces presynaptic long-term potentiation (pre-LTP)16, indicating the presence of a pathway between the PVH and ACC. However, whether this pathway could be targeted to treat pain remains unclear. Moreover, both the PVH and ACC have known associations with food intake, with cholecystokinin (CCK) neurons and glutamatergic (Glu) neurons in these regions playing key roles17,18. However, the role of the pathway from CCK neurons in the paraventricular hypothalamus (PVHCCK) to glutamatergic neurons in the anterior cingulate cortex (ACCGlu) in chronic visceral pain-related changes in food preferences remains unknown. CCK is widely distributed in the gastrointestinal tract and CNS and regulates a range of physiological functions by activating its receptors13. In the CNS, CCK and its receptors contribute to the regulation of satiety, anxiety, analgesia, and dopamine-mediated behavior19. There is substantial evidence about the mechanism of action of CCK. However, relatively little is known about the role of the CCK receptor subtypes in the brain in mediating food intake.

Therefore, the aimed of this study was to determine whether a specific neural circuit exists between PVHCCK and ACCGlu neurons and whether this circuit contributes to the changes in food preference caused by chronic visceral pain in a mouse model of NCI.

We identified a circuit in which PVHCCK neurons project to ACCGlu neurons in mice. The PVHCCK-ACCGlu circuit is required for the food preference that chronic visceral pain. These results provide a theoretical basis for pain-related treatments.

Results

Chronic visceral pain led to changes in food preference

To explorer the effects of chronic visceral pain on food preference in mice, we verified that our mouse model of chronic visceral pain induced food preference changes. Chronc visceral pain was induced by NCI, and the successful establishment of the model was verified by measuring the colorectal distention (CRD) threshold at age 6–12 weeks8. The CRD threshold was significantly lower in NCI mice than in age-matched control (CON) mice at 6-12 weeks (Fig. 1a, b, **p < 0.01, ***p < 0.001, two-way repeated measure ANOVA, n = 8 mice), which is consistent with previous finding6. To investigate whether chronic visceral pain leads to changes in food preference in the model mice, we examined the consumption of three liquids (i.e., sucrose, water, and an intralipid solution20) and time spent in the corresponding zones in the CON and NCI mice (Fig. 1c). In the free-feeding tests, the CON mice spent more time in the intralipid zone than did the NCI mice did, whereas the NCI mice spent more time in the sucrose zone than did the CON mice did; however, there was no significant difference between groups in the time spent in the water zone (Fig. 1d).

Fig. 1: Chronic visceral pain led to changes in food preference.
figure 1

a Timeline for establishing and testing the chronic visceral pain model. b The colorectal distension (CRD) threshold in CON and NCI mice from weeks 6 to 12 (n = 8 mice/group, p < 0.0001 in 6 and 8weeks, p < 0.0001 in 10 weeks, p = 0.0011 in 12weeks). c Experimental model of food preference. d Heatmaps of mouse location throughout the free-feeding tests. e The percentage of time spent in each food zone and percentage of each type of liquid intake (n = 9 mice/group, Food zone time: p < 0.0001 in IL, p = 0.0002 in S; Food intake percentage: p < 0.0001 in IL, p < 0.0001 in S). f Correlation between the percentage of food zone time and percentage of food intake (p < 0.0001, r = 0.7318). g Body weights of CON and NCI mice (n = 9 mice/group, p = 0.0003 in 12 h). h Intraperitoneal injection of ibuprofen or indomethacin significantly relieved visceral pain (n = 9 mice/group, p < 0.0001 in ibuprofen and indomethacin). i The percentage of time spent in each food zone and percentage of each type of liquid intake (n = 9 mice/group, Food zone time: p = 0.0052 and 0.0203 in ibuprofen, p = 0.0087 and 0.0053 in indomethacin; Food intake percentage: p < 0.0001 in ibuprofen, p < 0.0001 in indomethacin). All the data are presented as the means ± SEMs. Two-way ANOVA with Sidak’s multiple comparisons test (b, e, gi). Linear regression and Correlation (f). *p < 0.05; **p < 0.01; ***p < 0.001.

With respect to actual food intake, the percentage of intralipid intake and time spent in the intralipid zone were significantly greater in CON mice than in NCI mice, whereas the percentage of sucrose intake and time spent in the sucrose zone were significantly lower in CON mice than in NCI mice; there was no significant difference between the groups in water intake at 12 h (Fig. 1e, **p < 0.01, ***p < 0.001, two-way repeated measure ANOVA, n = 9 mice). Further analysis showed a positive correlation between the food intake percentage and time spent in the food zone (Fig. 1f).

NCI mice weighed significantly less than CON mice (Fig. 1g, ***p < 0.001, two-way repeated measure ANOVA, n = 8 mice). NCI-induced chronic visceral pain was alleviated by the intraperitoneal administration of conventional analgesic agents such as ibuprofen and indomethacin (Fig. 1h, ***p < 0.001, two-way repeated measure ANOVA, n = 9 mice), and intralipid intake was increased after drug administration compared with that before treatment in NCI mice (Fig. 1i, *p < 0.05, **p < 0.01, ***p < 0.001, two-way repeated measure ANOVA, n = 9 mice). Together, these data suggest that chronic visceral pain leads to changes in food preference in mice.

PVHCCK encodeds chronic visceral pain-induced changes in food preference

Next, to investigate whether the PVH is involved in NCI-induced chronic visceral hypersensitivity, we compared the expression of c-Fos, an immediate early gene product and marker of neural activity21, in the PVH of mice. The number of c-Fos-expressing cells markedly increased after repetitive CRD stimulation8 in NCI mice (Fig. 2a, ***p < 0.001, two-sided student’s t-test, n = 6 mice). To determine the neuronal type of the CRD-activated PVH neurons, double immunofluorescence of c-Fos with the neuron marker CCK was performed, and most c-Fos-positive neurons were colabeled with the CCK antibody (Fig. 2b).

Fig. 2: PVHCCK encodes chronic visceral pain-induced change in food preference.
figure 2

a Representative images of c-Fos expression after CRD stimulation and the total number of c-Fos-expressing neurons (n = 3 mice, p < 0.0001). Scale bar:20 µm. b Representative images of coexpressing c-Fos (green) and CCK (red) neurons and the percentage of coexpressing c-Fos in the PVH (n = 3 mice). Scale bar:20 µm. c Schematic of the optical fiber photometry assay and representative images of EGFP expression in the PVH. Scale bar:20 µm. d Heatmaps and average calcium activity showing Ca2+ signals time-locked to the CRD stimulus in NCI and CON mice. e Area under the curve of Ca2+ activity in PVH CCK-positive neurons from NCI and CON mice receiving CRD stimulation (n = 7 mice, p = 0.0022). f Schematic of viral injection (top) and the experimental protocol of chemogenetics (bottom) and representative images of mCherry expression in the PVH. Scale bar:20 µm. g Heatmaps of mouse location during the free-feeding tests. h Colorectal distention (CRD) threshold changes before and after hM3Dq activation of PVHCCK neurons in CON mice (n = 9 mice/group, p < 0.0001). i Percentage of time and intake for each type of food before and after hM3Dq activation of PVHCCK neurons in CON mice (n = 9 mice/group, Food intake percentage: p < 0.0001; Food zone time: p = 0.0049 in IL and p = 0.0097 in S). j Correlation between the percentage of food zone time and percentage of food intake (p < 0.0001, r = 0.6688). k CRD threshold before and after hM4Di inhibition of PVHCCK neurons in NCI mice (n = 9 mice/group, p < 0.0001). l The percentage of food zone time and intake for each food type before and after hM4Di inhibition of PVHCCK neurons in NCI mice (n = 9 mice/group, Food intake percentage: p < 0.0001; Food zone time: p = 0.0013 in IL and p = 0.032 in S). m Correlation between the percentage of food zone time and percentage of food intake (p = 0.0025, r = 0.5153). All the data are presented as the means ± SEMs. Two-sided student’s t test (a, e). Two-way ANOVA with Sidak’s multiple comparisons test (i, l). Ordinary one-way ANOVA with Dunnett’s multiple comparisons test (h, k). Linear regression and Correlation (j, m). *p < 0.05; **p < 0.01; ***p < 0.001.

To characterize the functional involvement of PVHCCK neurons in visceral pain perception, changes in in vivo Ca2+ signaling were recorded using fiber photometry. AAV2/9-CCK-GCaMP6f-EGFP was injected into the PVH to label CCK neurons in NCI and CON mice (Fig. 2c). The results showed that Ca2+ activity in NCI mice stimulated with the same degree of CRD was significantly higher than that in CON mice (Fig. 2d, e, **p < 0.01, two-sided student’s t-test, n = 7 mice).

We then used patch-clamp techniques to compare the excitability of CCK neurons between NCI mice and CON mice. AAV2/9-CCK-EGFP was injected into the PVH to mark CCK neurons in NCI and CON mice (Fig. S3a). Representative images and percentage statistics showing 95% EGFP+ (green) and CCK neurons (red) were colocalized in the PVH (Fig. S1a–c). When stimulated by the same current, the firing frequency of CCK neurons was significantly greater in NCI mice than in CON mice (Fig. S3b, *p < 0.05, **p < 0.01, two-way repeated measure ANOVA, N = 9 cells). The action potential half-width and action potential frequency of CCK neurons were significantly greater in NCI mice than in CON mice (Fig. S3c, *p < 0.05, **p < 0.01, two-way repeated measure ANOVA, N = 9 cells); the first spike latency and interspike interval of CCK neurons were significantly lower in NCI mice than in CON mice (Fig. S3d, *p < 0.05, **p < 0.01, two-sided student’s t-test, N = 9 cells). Next, we used AAV2/9-CCK-hM3Dq-mCherry and AAV2/9-CCK-hM4Di-mCherry to manipulate CCK neurons in the PVH of CON mice and NCI mice, respectively (Fig. 2f). Behavioral results show that chemogenetic activation of CCK neurons by significantly decreased the CRD threshold in CON mice (Fig. 2h, ***p < 0.001, ordinary one-way ANOVA, n = 9 mice). The percentages of intralipid intake and time spent in the intralipid zone were significantly greater in hM3Dq+normal saline (NS) mice than in hM3Dq+clozapine-N-oxide (CNO, 2.5 mg/kg, intraperitoneal) mice, whereas the percentages of sucrose intake and time spent in the sucrose zone were significantly lower in hM3Dq+NS mice than in hM3Dq+CNO mice (Fig. 2g, i, **p < 0.01, ***p < 0.001, two-way repeated measure ANOVA, n = 9 mice). The percentage of food intake and percentage of food zone time were positively correlated (Fig. 2j).

Chemogenetic inhibition of CCK neurons significantly increased the CRD threshold in NCI mice (Fig. 2k, ***p < 0.001, ordinary one-way ANOVA, n = 9 mice). Compared with hM4Di+CNO mice, hM4Di+NS mice showed a significantly greater percentage of sucrose intake and time spent in the sucrose zone. However, compared with hM4Di+CNO mice, hM4Di+NS mice showed significantly lower percentage of intralipid intake and spent less time in the intralipid zone (Fig. 2g, l, *p < 0.05, **p < 0.01, ***p < 0.001, two-way repeated measure ANOVA, n = 9 mice). The percentage of food intake and time spent in the food zone were positively correlated (Fig. 2m). Collectively, these data indicate that PVHCCK neurons are involved in the modulation of chronic visceral pain-induced food preference changes in mice.

PVHCCK neurons projected to ACCGlu neurons

To identify the neural circuits involving PVHCCK neurons in chronic visceral pain, we identified the regions downstream of the PVH that respond to visceral pain. The anterograde tracer AAV2/9-hSyn-EGFP was injected into the PVH. EGFP+ fibers were observed in the ACC at 3 weeks post-injection (Fig. 3a). In addition, EGFP+ fibers were observed in other brain regions, such as the lateral septal (LS), paraventricular thalamic nucleus (PVT), claustrum (CL) and insular cortex (IC) (Fig. S2a, b). To further explore the connection of PVH with ACC and the monosynaptic rabies-based retrograde tracing was performed in VGlut2-Cre mice. Cre-dependent helper viruses (a mixture of AAV-EF1a-DIO-TVA-GFP and AAV-EF1a-DIO-RVG) were injected into the ACC, while an EnvA-pseudotyped RV-ΔG-DsRed rabies virus (RV) was injected into the same site in VGlut2-Cre mice 3 weeks later, revealing DsRed-positive neurons in the PVH (Fig. 3b). The results shown that glutamatergic neurons of ACC connection with PVH. To verify the PVH-ACC pathway, the retrograde tracer virus AAV2/R-hSyn-EGFP was injected into the ACC. GFP-labeled signals were observed not only in the ACC but also in the prefrontal cortex, claustrum, insular cortex, and PVH (Fig. 3c, d).

Fig. 3: PVHCCK neurons projected to ACCGlu neurons.
figure 3

a Schematic of the anterograde virus tracing strategy (left) and typical images of virus injection sites within the PVH and viral expression in the ACC (right). Scale bar:20 µm. b Schematic of virus injection (left) and representative images showing RV-DsRed expression in the PVH (right). Scale bar:20 µm. c Schematic of the retrograde virus tracing strategy. d Typical images of virus injection sites within the ACC and viral expression in other brain regions. Scale bar:20 µm. e Schematic of viral injection and the real-time optical fiber photometry assay (top) and representative images showing EGFP and mCherry expression in the ACC and PVH (bottom). Scale bar:20 µm. f Heatmaps and average Ca2+ transient signals of ACCGlu neurons in hM4Di+CNO and hM4Di+NS mice receiving CRD stimulation. g Area under the curve of Ca2+ activity of ACCGlu neurons in hM4Di+CNO and hM4Di+NS mice receiving CRD stimulation (n = 7 mice/group, p = 0.0337). h Heatmaps and average Ca2+ transient signals of ACCGlu neurons in hM3Dq+CNO and hM3Dq+NS mice receiving CRD stimulation. i Area under the curve of Ca2+ activity of ACCGlu neurons in hM3Dq+CNO and hM3Dq+NS mice receiving CRD stimulation (n = 7 mice/group, p = 0.0413). All the data are presented as the means ± SEMs. Two-sided student’s t test (g, i). *p < 0.05.

We then investigated whether ACCGlu receives direct projections from PVHCCK. AAV2/9-EF1a-Dio-hM4Di/hM3Dq-mCherry and AAV2/9-CCK-Cre were injected into the PVH to mark CCK neurons, whereas AAV2/9-VGlut2-GCaMP6f-EGFP was injected into the ACC to mark Glu neurons in NCI and CON mice, and the representative image of virus in the PVH and ACC (Fig. 3e). The data indicated that Ca2+ inhibition in hM4Di+CNO mice was significantly lower with the same CRD than that in hM4Di+NS mice (Fig. 3f, g, *p < 0.05, two-sided student’s t-test, n = 7 mice). The Ca2+ activity in hM3Dq+CNO mice stimulated with the same degree of CRD was significantly greater than that in hM3Dq+NS mice (Fig. 3h, i, *p < 0.05, two-sided student’s t-test, n = 7 mice). These findings suggest that CCK-positive neurons in the PVH may play a regulatory role in the modulation of ACCGlu.

ACCGlu modulates chronic visceral pain-induced changes in food preference

Next, to investigate whether the ACC is involved in NCI-induced chronic visceral hypersensitivity, we compared the ACC expression of c-Fos in the NCI and CON mice. The number of c-Fos-expressing cells was markedly increased following repeated CRD stimulation8 in NCI mice (Fig. 4a, ***p < 0.001, two-sided student’s t-test, n = 6 mice). To explore the specific neurons within the ACC that are involved in visceral pain, activated c-Fos neurons were double-labeled with a glutamate antibody to mark forebrain excitatory neurons; the majority of the c-Fos+ neurons were colabeled with the glutamate antibody (Fig. 4b). To further characterize the Glu neurons activated in the ACC after visceral stimulation, fiber photometry was used to record changes in Ca2+ signaling in vivo before and after stimulation. Specifically, AAV2/9-VGlut2-GCaMP6f-EGFP was injected into the ACC to label the Glu neurons in NCI and CON mice (Fig. 4c). The Ca2+ activity in NCI mice was significantly greater than that in CON mice was stimulated with the same degree of CRD (Fig. 4d, e, *p < 0.05, two-sided student’s t-test, n = 7 mice).

Fig. 4: ACCGlu modulates chronic visceral pain-induced change in food preference.
figure 4

a Representative images of c-Fos expression following CRD stimulation in the ACC and the total number of c-Fos-expressing neurons (n = 3 mice, p < 0.0001). Scale bar:20 µm. b Representative images showning the coexpression of c-Fos neurons (green) and glutamatergic neurons (red) in the ACC, along with the percentage of coexpressed neurons (n = 3 mice). Scale bar:20 µm. c Schematic representation of the optical fiber photometry assay and representative images of EGFP expression in the ACC. Scale bar:20 µm. d Heatmaps and average calcium activity showing Ca2+ signals time-locked to the CRD stimuli in NCI and CON mice. e Area under the curve of Ca2+ activity in Glu-positive ACC neurons in CON and NCI mice receiving CRD stimulation (n = 7 mice, p = 0.0435). f Schematic of viral injection (top) and experimental protocol of chemogenetic (bottom) and representative images of mCherry expression in the ACC. Scale bar:20 µm. g Spatial location heatmaps from free-feeding tests. h Colorectal distention (CRD) thresholds before and after hM3Dq activation of ACCGlu neurons in CON mice (n = 9 mice/group, p < 0.0001). i Percentage of time spent in each food zone and intake of each food type before and after hM3Dq activation of ACCGlu neurons in CON mice (n = 9 mice/group, Food intake percentage: p < 0.0001, Food zone time: p = 0.0173 in IL and p = 0.0107 in S). j Correlation between the percentage of food zone time and percentage of food intake (p = 0.001, r = 0.5254). k CRD threshold before and after hM4Di inhibition of ACCGlu neurons in NCI mice (n = 9 mice, p = 0.0005). l The percentage of food zone time and food intake for each food before and after hM4Di inhibition of ACCGlu neurons in NCI mice (n = 9 mice/group, Food intake percentage: p < 0.0001, Food zone time: p = 0.0172 in IL and p = 0.0356 in S). m Correlation between the percentage of food zone time and percentage of food intake (p < 0.0001, r = 0.6115). All the data are presented as the means ± SEMs. Two-sided student’s t test (a, e). Two-way ANOVA with Sidak’s multiple comparisons test (i, l). Ordinary one-way ANOVA with Dunnett’s multiple comparisons test (h, k). Linear regression and Correlation (j, m). *p < 0.05; **p < 0.01; ***p < 0.001.

Simultaneously, patch-clamp techniques were employed to compare the excitability of Glu neurons in NCI and CON mice. AAV2/9-VGlut2-EGFP was injected into the ACC to label Glu neurons in NCI and CON mice (Fig. S4a). When stimulated by the same current, the firing frequency of Glu neurons was significantly greater in NCI mice than in CON mice (Fig. S4b,***p < 0.001, two-way repeated measure ANOVA, N = 7 cells). The action potential half-width and action potential frequency of Glu neurons were significantly greater in NCI mice than in CON mice (Fig. S4c, *p < 0.05, ***p < 0.001, two-way repeated measure ANOVA, N = 7 cells); the first spike latency and interspike interval of Glu neurons were significantly lower in NCI mice than in CON mice (Fig. S4d, *p < 0.05, two-sided student’s t-test, N = 7 cells). Next, AAV2/9-VGlut2-hM3Dq-mCherry and AAV2/9-VGlut2-hM4Di-mCherry were used to label the Glu neurons in the ACC of CON and NCI mice, respectively (Fig. 4f). The results demonstrated that the chemogenetic activation of Glu neurons significantly decreased the CRD threshold (Fig. 4h, ***p < 0.001, ordinary one-way ANOVA, n = 9 mice). The percentage of intralipid intake and time spent in the intralipid zone were significantly greater in hM3Dq+NS mice than in hM3Dq+CNO mice, whereas the percentage of sucrose intake and time spent in the sucrose zone were significantly lower (Fig. 4g, i, *p < 0.05, **p < 0.01, two-way repeated measure ANOVA, n = 9 mice). The percentage of food intake and the time spent in the food zone were positively correlated (Fig. 4j).

Chemogenetic inhibition of Glu neurons significantly increased the CRD threshold (Fig. 4k, ***p < 0.001, ordinary one-way ANOVA, n = 9 mice). The percentage of sucrose intake and the percentage of time spent in the sucrose zone were significantly greater in hM4Di+NS mice than in hM4Di+CNO mice, whereas the percentage of intralipid intake and the percentage of time spent in the intralipid were significantly lower (Fig. 4g, l, *p < 0.05, **p < 0.01, two-way repeated measure ANOVA, n = 9 mice). The percentage of food intake and the time spent in the food zone were positively correlated (Fig. 4m). These data indicate that ACCGlu is involved in the changes in food preference induced by chronic visceral pain in mice.

The PVHCCK-ACCGlu circuit regulates chronic visceral pain-induced changes in food preference

To explore CCK neuron signaling from the PVH to the ACC, we performed chemogenetic manipulation of the PVHCCK-ACCGlu projections with a designer drug approach that exclusively activates certain receptors. AAV2/9-EF1a-Dio-hM3Dq-mCherry and AAV2/9-CCK-Cre were injected into the PVH of CON and NCI mice, and AAV2/9-EF1a-Dio-hM4Di-mCherry and AAV2/9-CCK-Cre were injected into the PVH of NCI mice, and the representative image of virus in the PVH (Fig. 5a). Patch-clamp recordings on the ACC brain slices showed that, CNO (5 µM)22 treatment significantly increased the amplitude and frequency (Fig. 5b, S5a, *p < 0.05, two-sided student’s t-test, N = 7 cells) of spontaneous excitatory postsynaptic currents (sEPSCs) in ACC neurons from CON mice with PVH infection of hM3Dq. Conversely, CNO (5 µM) treatment significantly decreased the amplitude and frequency (Fig. 5b, S5b, *p < 0.05, two-sided student’s t-test, N = 7 cells) of sEPSCs in ACC neurons from NCI mice with PVH infection of hM4Di.

Fig. 5: PVHCCK-ACCGlu circuit regulates chronic visceral pain-induced changes in food preference.
figure 5

a Schematic of chemogenetics manipulation (left) and representative images of chemogenetic viral expression in the PVH (right). Scale bar:20 µm. b Top: Representative traces of sEPSCs in ACC neurons following bath application of ACSF and then CNO. Bottom: sEPSC peak amplitude and cumulative fraction plots (n = 7 cells/group, Pre+hM3Dq vs Post+hM3Dq, p = 0.0349; Pre+hM4Di vs Post+hM4Di, p = 0.0255). c Schematic of chemogenetic manipulation (left) and the experimental protocol of chemogenetic manipulation (right). d Heatmaps of mouse location during the free-feeding tests. e Colorectal distention thresholds before and after hM3Dq activation of PVHCCK neurons terminal in the ACC region in CON mice (n = 9 mice/group, p < 0.0001). f Food zone time percentage and food intake percentage for each liquid type before and after hM3Dq activation of PVHCCK neurons terminal in the ACC region in CON mice (n = 9 mice/group, Food intake percentage, p < 0.0001; Food zone time, IL:hM3Dq+NS vs hM3Dq+CNO, p = 0.0103, S: hM3Dq+NS vs hM3D+CNO, p = 0.0059). g Correlation between the percentage of food zone time and percentage of food intake (p = 0.0005, r = 0.5527). h CRD threshold before and after hM4Di inhibition of PVHCCK neurons terminal in the ACC region in NCI mice (n = 9 mice/group, p < 0.0001). i The percentage of food zone time and percentage of intake for each of the three liquids before and after hM4Di inhibition of the PVHCCK neurons terminating in the ACC region in NCI mice (n = 9 mice/group, Food intake percentage, p < 0.0001; Food zone time: p = 0.0002 in IL and p = 0.0007 in S). j Correlation between the percentage of food zone time and percentage of food intake (p = 0.0088, r = 0.4557). All the data are presented as the means ± SEMs. Two-sided student’s t test (b). Two-way ANOVA with Sidak’s multiple comparisons test (f, i). Ordinary one-way ANOVA with Dunnett’s multiple comparisons test (e, h). Linear regression and Correlation (g, j). *p < 0.05; **p < 0.01; ***p < 0.001.

Next, we determined whether the PVHCCK-ACCGlu neural circuit regulated the changes in mouse food preferences associated with chronic visceral pain. AAV2/9-EF1a-Dio-hM3Dq-mCherry and AAV2/9-CCK-Cre were injected into the PVH of CON mice, and AAV2/9-EF1a-Dio-hM4Di-mCherry and AAV2/9-CCK-Cre were injected into the PVH of NCI mice. Cannulas were bilaterally implanted into the ACC of the mice 2 weeks after virus injection. CNO was delivered via cannulas to activate or inactivate the PVHCCK terminals in the ACC (Fig. 5c). The chemogenetic activation of CCK neuron terminals significantly decreased the CRD threshold (Fig. 5e, ***p < 0.001, ordinary one-way ANOVA, n = 9 mice). The percentage of intralipid intake and the percentage of time spent in the intralipid zone were significantly increased in hM3Dq+NS mice compared with hM3Dq+CNO mice. Meanwhile, the percentage of sucrose intake and time spent in the sucrose zone were significantly lower than that consumed by the hM3Dq+CNO mice (Fig. 5d, f, *p < 0.05, **p < 0.01, ***p < 0.001, two-way repeated measure ANOVA, n = 9 mice). The food intake percentage and food zone percentage were positively correlated (Fig. 5g).

Chemogenetic inhibition of CCK neuron terminals significantly increased the CRD threshold (Fig. 5h, ***p < 0.001, ordinary one-way ANOVA, n = 9 mice). The percentage of sucrose intake and the percentage of time spent in the sucrose zone were significantly greater in the hM4Di+NS mice than in the hM4Di+CNO mice. In contrast, the percentages of intralipid intake and time spent in the intralipid zone in hM4Di+CNO mice were significantly lower than those in hM4Di+CNO mice (Fig. 5d, i, **p < 0.01, two-way repeated measure ANOVA, n = 9 mice). The percentage of food intake and percentage of food zone time were positively correlated (Fig. 5j). These data indicate that the projections from PVHCCK to ACCGlu neurons play a role in chronic visceral pain-induced changes in food preference.

ACC expression of CCKB receptors is increased in NCI mice

Chronic visceral pain was induced through NCI in 6–12 weeks6. ACC expression of CCK receptors was then assessed 9 weeks after NCI induction. CCKB receptors (CCKBRs) expression at both the protein and mRNA levels was significantly greater in the bilateral ACC of NCI mice than that in CON mice. However, the protein and mRNA levels of CCKA receptors (CCKARs) were not significantly upregulated in the ACC of either hemisphere (Fig. 6a–c, **p < 0.01, two-way repeated measure ANOVA, n = 6 mice). Subsequently, we microinjected a CCKBRs agonist (tetragastrin [Tet], 30 µM, MCE, Shanghai, China) or antagonist (proglumide sodium [Pro], 30 µM, MCE)23 into the right ACC region with a cannula to examine there effects in NCI and CON mice (Fig. 6d). Tetragastrin significantly decreased the CRD threshold in CON mice, whereas proglumide sodium significantly increased the CRD threshold in NCI mice. (Fig. 6e, f, **p < 0.01, ordinary one-way ANOVA, n = 8 mice). Next, the location of the CCKBRs in the ACC was verified by immunofluorescence. CCKBRs exhibited considerable colocalization with Glu neurons, with a colocalization ratio of 89.4% (Fig. 6g, h). These findings suggest that the overactivity of CCKBRs in the ACC region may contribute to the central sensitization of NCI mice to chronic visceral pain.

Fig. 6: ACC expression of CCKBRs is increased in NCI mice.
figure 6

a Representative western blot of CCKAR and CCKBR expression in the ACC. b CCKB receptor expression was significantly greater in the ACC of NCI mice than in that of CON mice (n = 6 mice/group, p = 0.0002). c The mRNA level of CCKBRs was markedly greater in the ACC of NCI mice than in that of CON mice (n = 6 mice/group, p < 0.0001). d Schematic of proglumide sodium or tetragastrin injection (left), and the red boxes show the site of microinjection into the ACC (right). e Bar plot showing the colorectal distension (CRD) threshold in NCI mice treated with proglumide sodium compared with those in the NCI and NS groups (n = 8 mice/group, p < 0.0001). f Bar plot showing the CRD threshold in CON mice treated with tetragastrin compared with those in the CON and NS groups (n = 8 mice/group, p < 0.0001). g Representative images showing the colocalization of CCKBR (green) and glutamatergic neurons (red) in the ACC of NCI mice. Scale bar:20 µm. h Percentage of colocalization in the ACC region (n = 3 mice). All the data are presented as the means ± SEMs. Two-way ANOVA with Sidak’s multiple comparisons test (b, c). Ordinary one-way ANOVA with Dunnett’s multiple comparisons test (e, f). **p < 0.01.

CCKBRs mediate the regulatory role of the PVHCCK-ACCGlu circuit in chronic visceral pain-induced food preference changes

Finally, we investigated the molecular mechanisms through which CCKBRs are involved in chronic visceral pain in NCI mice. Specifically, proglumide sodium was used to modulate the sEPSCs of glutamatergic neurons in ACC slices from NCI mice. AAV2/9-CCK-hM3Dq-mCherry and AAV2/9-VGlut2-EGFP were used to label CCK neurons and glutamatergic neurons, respectively, in CON mice (Fig. 7a). The typical current traces (Fig. 7b), and histogram results demonstrated that CNO activation of the PVHCCK terminals in the ACC significantly enhanced the frequency and amplitude of sEPSCs in ACCGlu. This effect was reversed by proglumide sodium inhibition of CCKBRs in the ACC (Fig. 7c, and S6a, *p < 0.05, ordinary one-way ANOVA, N = 8 cells). Meanwhile, AAV2/9-CCK-hM4Di-mCherry and AAV2/9-VGlut2-EGFP were used to label CCK neurons and glutamatergic neurons, respectively, in NCI mice (Fig. 7d). As shown in Fig. 7e, the typical current traces, and histogram results supported that CNO activation of PVHCCK terminals in the ACC significantly reduced the frequency and amplitude of sEPSCs in ACCGlu. This effect was reversed by tetragastrin-induced activation of CCKBRs in the ACC (Fig. 7f, S6b, *p < 0.05, ordinary one-way ANOVA, N = 6 cells). Next, we explored whether CCKBRs were involved in the PVH to ACC circuit. At 3 weeks following the injection of AAV2/9-EF1a-Dio-hM3Dq-mCherry and AAV2/9-CCK-Cre into the PVH of CON mice (Fig. 7g), CNO-induced activation of PVHCCK terminals in the ACC significantly decreased the CRD threshold, as well as the percentage of intralipid intake and time spent in the intralipid zone. This effect was reversed by proglumide sodium inhibition of CCKBRs in the ACC (Fig. 7h–j, *p < 0.05, **p < 0.01, ***p < 0.001, ordinary one-way ANOVA and two-way repeated measure ANOVA, n = 8 mice). The food intake percentage and food zone time percentage were positively correlated (Fig. 7k).

Fig. 7: CCKBRs mediate the regulatory role of the PVHCCK-ACCGlu circuit in chronic visceral pain-induced food preference changes.
figure 7

a Schematic of chemogenetics manipulation and representative images of viral expression in the PVH and ACC. Scale bar:20 µm. b Representative traces of sEPSCs in ACC neurons following bath application of ACSF, CNO and then CNO with proglumide sodium. c Cumulative fraction plots and quantification of sEPSCs peak amplitude (n = 8 cells/group, Pre vs CNO, p = 0.0114; CNO vs CNO+Pro, p = 0.0121). d Schematic of chemogenetic manipulation and representative images of viral expression in the PVH and ACC. Scale bar:20 µm. e Representative traces of sEPSCs in ACC neurons following bath application of ACSF or CNO, and subsequent application of CNO with tetragastrin. f Cumulative fraction plots and quantification of sEPSCs peak amplitude (n = 6 cells/group, Pre vs CNO, p = 0.0447; CNO vs CNO+Tet, p = 0.0252). g Schematic of chemogenetic manipulation (left) and related experimental protocol (right). h Heatmaps of mouse location during the free-feeding tests. i Colorectal distension (CRD) thresholds following hM3Dq+NS, hM3Dq+CNO or hM3Dq+CNO+proglumide sodium administration to CON mice (n = 8 mice/group, p < 0.0001). j Food zone time percentage and food intake percentage following hM3Dq+NS, hM3Dq+CNO or hM3Dq+CNO+proglumide sodium administration to CON mice (n = 8 mice/group, Food intake percentage: p < 0.05; Food zone time: p < 0.05). k Correlation analysis between food zone percentage time and food intake percentage (p = 0.0107, r = 0.3652). l CRD threshold following hM4Di+NS, hM4Di+CNO or hM4Di+CNO+tetragastrin administration to NCI mice (n = 8 mice/group, p < 0.0001). m Food zone time percentage and food intake percentage following hM4Di+NS, hM4Di+CNO or hM4Di+CNO+tetragastrin administration to NCI mice (n = 8 mice/group, Food intake percentage: p < 0.05; Food zone time: p < 0.05). n Correlation between the percentage of food zone time and percentage of food intake (p = 0.0322, r = 0.3097). All the data are presented as the means ± SEMs. Two-way ANOVA with Sidak’s multiple comparisons test (j, m). Ordinary one-way with ANOVA Tukey’s multiple comparisons test (c, f, i, l). Linear regression and Correlation (k, n). *p < 0.05; **p < 0.01; ***p < 0.001.

Conversely, 3 weeks after AAV2/9-EF1a-Dio-hM4Di-mCherry and AAV2/9-CCK-Cre were injected into the PVH of NCI mice (Fig. 7g), CNO inhibition of PVHCCK terminals in the ACC significantly enhanced the CRD threshold and increased the percentage of intralipid intake and time spent in the intralipid zone. This effect was reversed by tetragastrin activation of CCKBRs in the ACC. (Fig. 7h, l, m, *p < 0.05, **p < 0.01, ordinary one-way ANOVA and two-way repeated measure ANOVA, n = 8 mice). The food intake percentage and food zone time percentage were positively correlated (Fig. 7n). Overall, these findings indicate that CCKBRs overactivity in the ACC likely contributes to chronic visceral pain and subsequent alterations in food preference in NCI mice.

Discussion

Chronic visceral pain is associated with discomfort and emotional changes. Fat and sugar are important nutrients, and dedicated neural circuits drive their consumption24,25,26. While the neural circuits that drive food intake have been studied20; how neurons in central brain regions integrate nociceptive signals to mediate food preference mechanisms in chronic visceral pain has not been assessed to date; specifically, it has been unclear whether and how the PVH projects to feeding-related brain regions to modulate feeding preferences during chronic visceral pain. Our data revealed that PVHCCK neurons were involved in the modulation of food preference in this mouse model of chronic visceral pain (Fig. 2). Further, PVHCCK neurons directly activated ACCGlu neurons to modulate food preference in NCI mice. The inhibition of PVHCCK terminals in the ACC relieved chronic visceral pain and altered feeding choices in NCI mice (Fig. 5). Our findings provide an insights into the relationship between chronic visceral pain and food preferences.

The PVH plays a role in feeding behavior27,28, along with temperature-regulated circuits for feeding behavior29. Although the PVH is involved in both chronic visceral pain30 and feeding behaviors, the precise relationship between chronic visceral pain and food preference remains unclear. Our data revealed that the PVH was involved in the modulation of food preference in mice with chronic visceral pain. The PVH is located mainly in the thalamus with components on both sides of the third ventricle. It contains numerous types of neurons, each with distinct roles. For example, oxytocinergic neurons innervate sympathetic premotor neurons in the rostral medullary raphe region to stimulate brown adipose tissue thermogenesis and regulate cardiovascular functions31. Meanwhile, glutamatergic neurons are critical for both arousal and maintenance32. However, our electrophysiological results revealed significantly greater excitability of CCK neurons in NCI mice than in CON mice. In NCI mice, chemogenetic inhibition of PVHCCK neurons significantly reduced chronic visceral pain, and food preference shifted from sucrose to intralipids (Fig. 2). Chemogenetic activation of PVHCCK neurons significantly lowered the visceral pain threshold in CON mice, and the food preference shifted from intralipids to sucrose (Fig. 2). Therefore, our results suggest that CCK neurons play a significant role in modulating food preference in the context of chronic visceral pain.

Using a dual-virus strategy, we confirmed a direct neural connection between the PVH and ACC (Fig. 3), which is consistent with previous findings that the PVH region projected directly to the ACC region16,33. The ACC region plays a crucial role in the CNS and is involved in modulating pain8 and social behavior impairment34,35. It contains various types of neurons, including glutamatergic36, GABAergic37, and parvalbumin neurons18. To determine the type of ACC neurons mediating the relationship between chronic visceral pain and changes in food preference, several techniques, including immunofluorescence, in vivo optical fiber recording, and chemogenetics, have been employed. One important finding was the identification of a direct PVHCCK-ACCGlu neural circuit that uniquely mediated chronic visceral pain accompanied by a change in food preference (Fig. 5).

Electrophysiological and chemogenetic results revealed that the activation of PVHCCK neuron terminals in the ACC slices significantly enhanced Glu neuron excitability and lowered the visceral pain threshold in CON mice, shifting their food preference from the intralipid solution to sucrose (Fig. 5). Inhibition of PVH CCK neurons terminals in ACC slices significantly reduced Glu neuron excitability and visceral pain in NCI mice, with their food preference shifting from sucrose solution to the intralipid solution (Fig. 5). However, additional studies are necessary to investigate the molecular mechanisms by which the PVH–ACC pathway regulates visceral pain and accompanying changes in food preference.

Although the mechanism by which ACCGlu are activated by the stimulation of presynaptic CCK neurons is the PVH is not fully understood, our data indicate that an excess of CCKBRs subunits and overactivity of the ACCGlu neurons may account for the central sensitization of the PVHCCK-ACCGlu neural circuit in NCI mice that show both chronic visceral pain and changes in food preference. CCK and its receptors are widely distributed in the CNS and contribute to the regulation of satiety, anxiety, and analgesia and dopamine-mediated behaviors19. Modern molecular biological techniques have identified two CCK receptors: CCKARs and CCKBRs38. CCKARs are involved in gastrointestinal motor function39. One study revealed that depression can be treated with CCKBRs antagonists, which blocked long-term delay in the basolateral amygdala40. Our results indicated that CCKBRs were activated in chronic visceral pain and that a CCKBRs antagonist could alleviate chronic visceral pain in NCI mice, which led to a shift in food preference from sucrose solution to intralipid solution (Fig. 7).

Previous studies have reported that pain-induced learning and memory impairments might be due to hyperexcitation of neurons in the central nervous system41. Our results showed that the neural circuit of cholecystokinin neurons in the PVH projecting to glutamatergic neurons in the ACC regulated food preference under chronic visceral pain conditions. Since the present study primarily focused on the central mechanisms by which chronic visceral pain drives changes in food preference, we did not observe whether the pain-induced changes in food preference might disrupt learning and memory. Since alterations in the PVH-ACC circuit may affect synaptic plasticity, we therefore speculate that it might influence learning and memory processes. The potential impact and mechanisms of chronic visceral pain on learning and memory require further investigation. Relevant descriptions have been added in the discussion section.

The sweet compounds are pain relievers42,43, but the mechanism is unclear. A recent study showed that the gut-brain axis mediates sugar preference25. Combining with the previous studies, we speculate that the animals experiencing chronic visceral pain may exhibit reduced appetite or anhedonia, or may shift food preferences towards less palatable or less energy-dense options, potentially due to an altered dopaminergic signaling in the brain44. Although we did not investigate the effect of sucrose intake on the visceral pain threshold, our results revealed a role for cholecystokinin neurons and glutamatergic neurons signaling pathway in the brain.

A limitation of this study was that the experiments were performed solely in male mice; therefore, the results may not be entirely applicable to female mice. However, previous studies have shown that estrogen has an important effect on chronic pain45,46. Therefore, male animals were uniformly selected to exclude the effects of estrogen47,48. In this study, the calorie of intralipid (0.15 kcal/ml) is slightly higher than the calorie of sucrose (0.44 kcal/ml). In consideration of the reward effect of high sucrose solution49 and the negative metabolic effects of high fat diet50, we chose 1% sucrose and 1.5% intralipid, respectively. unequal calorie density of the intralipid and sucrose solution may affect the interpretation of our results. However, the use of inappropriate concentration may significantly change the taste of the food and thus affect the test of preference. As such, we chose these concentrations based on a study with the similar paradigm20.

In conclusion, the PVHCCK-ACCGlu neural circuit plays a role in regulating visceral pain and related changes in food preference. CCKBRs play significant roles in this process. Thus, targeting this circuit may be a potential approach for the clinical management of patients with chronic visceral pain.

Methods

Mice

Adult male and female mice aged 8-10 weeks (C57BL/6 J and VGlut2-ires-Cre, respectively) were used for breeding. Each litter size has ranges from 4-6 pups. C57BL/6 J mice were purchased from Shanghai SLAC Laboratory Animal Company, Ltd. The VGlut2-Cre mice were purchased from Shanghai Model Organisms. A mouse model of chronic visceral pain was was induced by NCI51,52. The mice had free access to water and food at a stable environment (23–25 °C, 40 to 60% relative humidity, and 12/ 12-h light/dark cycle). The handling of the animals was approved by the Soochow University Institutional Animal Care and Use Committee and was carried out in strict accordance with the guidelines of the International Association for the Study of Pain. Given that estrogen synthesized in female mice may affect visceral pain53,54, adult female mice were excluded.

Measurement of chronic visceral pain

Chronic visceral hypersensitivity was induced by NCI7. NCI modeling was performed on postnatal day 10. A homemade rectal injector was used to inject 0.5% acetic acid (prepared using physiological saline) at a distance of 1 cm from the anus into the colorectum, with each mouse receiving an injection of 30 μL. The CON group received an equivalent volume of medical-grade saline injected into the colorectum6. Briefly, a 2-cm balloon was inserted into the rectum through the anus after the mice were anesthetized with isoflurane. The balloon was attached to a polyethylene tube. The tube was secured by taping onto the tail. After 30 min of recovery, the mice were tested for pain using the CRD. The CRD threshold (mmHg) was recorded using a sphygmomanometer in a blinded manner by quickly inflating the balloon until an obvious abdominal withdrawal reflex was observed. The measurement was repeated 5 times at 3-min intervals, and the average CRD threshold was calculated.

Diet

To explore the food preference in chronic visceral pain mice, we chose three food solution include intralipid (HY-131370B, MCE), sucrose and water. Intralipid is a mixture and effective in protecting the heart against ischemia-reperfusion injury and has some potential to modulate the innate immune response55. It is also a safe fat emulsion that can be used as a dietary supplement. In this experiment, we diluted its concentration to 1.5% and used it as a nutritional supplement. In consideration of the reward effect of high sucrose solution, we chose 1% sucrose49 in our study. The water has not treatment.

Food preference experiment

Mice were given ad libitum access to food and water for several days prior to the behavioral tests; any food or water restriction would severely affect the mice’s behavior in preference. Development of food preference: the preference switch experiments were carried out in an open box (50 cm × 50 cm × 50 cm) and placed 1.5% intralipid, 1% sucrose, and water in three corners of the box. Mice were food and water deprived 8 h before the experiment and had ad libitum access to food throughout.

For food preference tests, to familiarize animals with the environment, the mice used test were placed in box for 20 min a day for 2 days before experiment test. Animals were tested for their food preference over 1 h. Based on the study56 and our pilot experiments, we chose 1 hour time period devoted to food preference behavior because the food consumption patterns were stable within this time frame. Food was weighed before and after the test to calculate the food intake of the mice over the 1 h test period. Pre= weight of food prior to behavior test. Post= weight of food at the end of the behavior. Difference value between Pre and Post as the food consumption. Food intake percentage: the consumption of each food divided by the total number consumption of three food consumed. Animal movement was recorded using a video tracking system and the AnyMaze software, which recorded the time spent in the three corners with food. The percentage of time spent in the food area was calculated as follows: time spent in each food area divided by the total time of three food areas. After each test, the area was cleaned with 75% ethanol. The aim is to prevent residual animal odor from affecting the experimental results.

Slice electrophysiology

The mice (24–28 g) were euthanized after deep anesthesia with isoflurane, and brain slice electrophysiology was performed57. The brain was rapidly resected and placed in 32 °C oxygenated artificial cerebrospinal fluid (ACSF) with the following composition (in mM): 95 NaCl, 1.8 KCl, 1.2 KH2PO4, 7 MgSO4, 0.5 CaCl2, 26 NaHCO3, 15 glucose, and 50 sucrose. The solution pH was 7.3–7.4, and osmolarity of 310–320 mOsm. The brain was cut into 300 µm thick coronal slices using a vibrating microtome (Leica, VT1200S, Germany), transferred into ACSF solution and stored at 32°C until use. After pre-incubation for 1 h58, the slices were continuously perfused with oxygenated recording solution at a rate of 10–15 ml/min at room temperature. The composition of the recording solution was as follows (in mM): 127 NaCl, 1.8 KCl, 1.2 KH2PO4, 2.4 CaCl2, 1.3 MgSO4, 26 NaHCO3, and 15 glucose. The solution pH was 7.3–7.4, and the osmolarity was 300–310 mOsm. Neurons were visualized using infrared differential interference contrast video microscopy with a 40× magnification water-immersion objective (BX51WI, Olympus, Japan). Whole-cell patch-clamp recordings were obtained from the visually identified ACC and PVH neurons. Patch pipettes were prepared using a puller (Sutter-P97, United States). The internal solution for recording action potentials and sEPSCs contained (in mM) the following: 133 K-gluconate, 8 NaCl, 0.6 EGTA, 10 HEPES, 2Mg-ATP, and 0.3 Na-GTP. The pH was 7.2–7.4, and the osmolarity was 280–290 mOsm/kg. After GΩ seals (usually > 4 GΩ) were formed and the whole-cell configuration was obtained, neurons were tested to ensure that the resting membrane potential was more negative than −50 mV and that direct depolarizing current injections evoked action potentials overshooting 0 mV. Data were acquired using a Digidata1440A interface, a Multiclamp 700 B amplifier, and the pClamp10 software. Data were sampled and filtered at 10 kHz using the Bessel filter of the amplifier. To ensure high-quality recordings, the series resistance (<20 MΩ) was checked using the membrane test function of the pClamp10 software throughout the experiment. Data were stored on a computer and analyzed offline.

Immunofluorescence staining

To detect CRD-induced c-Fos expression, the balloon was inflated to a pressure of 60 mmHg for a 20-s stimulation period, followed by a 3-min rest. Each mouse was subjected to five CRD stimulations. At 1 h after CRD stimulation, the mice were deeply anesthetized, and transcardial perfusion was performed with 0.9% physiological saline and 4% paraformaldehyde (PFA). Mouse brains were removed and post-fixed in PFA for 3–4 h. The brains were then treated with sucrose at concentrations of 10%, 20%, or 30%. This process continued until the brain tissue sank to the bottom of the sucrose solution. The brains were sliced into 30-µm coronal sections using a freezing microtome (Leica, Germany). The sections were incubated with 0.3% Triton X-100 for 1 h and blocked with 7% donkey serum for 1 h at room temperature.

They were then incubated with primary antibodies, including anti-c-Fos (1:100, rabbit, 9F6, Cell Signaling), anti-glutamate (1:100, mouse, G9282, Sigma), anti-CCK (1:100, mouse, Proteintech, PA5-103116) for 12 h at 4 °C. Following primary antibody incubation, the sections were incubated with the corresponding fluorophore-conjugated secondary antibodies (anti-rabbit Alexa Fluor 488, 1:500, A21206, Invitrogen and anti-mouse Alexa Fluor 555, 1:100, A31570, Invitrogen) at room temperature for 1 h. Fluorescent signals were detected using a confocal microscope (LSM700; Zeiss, Germany), processed, and exported with Zen software (Zeiss, Germany)59,60. Sections from the same coordinates were analysed for each group, with one section of the brain being removed from each mouse.

Western blotting

The mice were deeply anesthetized with isoflurane and sacrificed via cervical dislocation. PVH coordinates were determined according to Paxinos and Franklin’s The Mouse Brain (4th edition, 2013). Using these coordinates, acute dissection of the PVH tissue was performed in ice-cold oxygenated fresh ACSF containing the following solutions (in mM): 130 NaCl, 5 KCl, 2 KH2PO4, 10 HEPES, 10 glucose, 6 MgSO4, and 1.5 CaCl2. The pH was 7.2, and the osmolarity was adjusted to 305 mM with sucrose. After the PVH protein extracts were separated on 4% and 10% polyacrylamide gels, the proteins were transferred onto polyvinylidene difluoride membranes. For the CCK receptors, the membranes were blocked in Tris-buffered saline (TBS) with a 5% dilution of nonfat milk powder at room temperature. The membranes were then incubated with an anti-CCKAR antibody (1:100, A16799, ABclonal) and an anti-CCKBR antibody (1:100, A14567, ABclonal) overnight at 4 °C in TBS containing 1% milk. After washing in TBS containing 0.5% Tween-20, the membranes were incubated with horseradish peroxidase-conjugated secondary antibodies in TBS containing 1% milk at room temperature. Band intensities were measured with ImageJ. The CCKARs and CCKBRs protein expression levels were normalized to those of GAPDH.

Real-time quantitative polymerase chain reaction

Total RNAs were extracted from ACC in CON and NCI mice with TRIzol (Vazyme, R411-01). cDNA was synthesized from total RNA using a Reverse transcription kit (Yeasen,11155ES60) following the supplier’s instructions. The sequences of the primer pairs for CCKARs and CCKBRs used in quantitative polymerase chain reaction were as follows: (F) 50- CTGGAGAGATACGGTGCCATC-30 and (R) 50- TGTAAATGGGGTACGGAGTCA −30; (F) 50- ATCTGCCGACCACTGCAAG-30 and (R) 50- GGTAGGGGACCATAAGCAATCC-30; the sequence of the primer pairs for gapdh (as an internal control) used in quantitative polymerase chain reaction is as follows: (F) 50 - AGGTCGGTGTGAACGGATTTG −30 and (R) 50- GGGGTCGTTGATGGCAACA −30

Drug administration

For the behavioral experiments, proglumide sodium (30 µM,1 µl, MCE) or tetragastrin (30 µM, 1 µl, MCE)23 was stereotactically injected into the right side of the ACC. The mice were allowed to recover for at least 3–4 days postoperatively before the behavioral tests. CRD was performed before and 10 min after drug microinjection. All drug concentrations used were based on a pilot study and previous studies61,62. The CNO injection methods included intraperitoneal injection and microinjection. Intraperitoneal injection of CNO at a dose of 0.33 mg/ml (0.2 ml) was used to investigate whether activation or inhibition of PVH neurons affected ACC neural activities and visceral pain responses63. Microinjection of CNO (0.33 mg/ml [1 ml]) into the ACC was used to examine whether proglumide sodium or tetragastrin reversed the effect of CCK neuron terminals activation in the ACC on visceral pain responses64.

Virus injection

During viral injection, the mice were preoperatively anesthetized with isoflurane and fixed in a stereotactic frame (RWD, 71000-M, Shenzhen, China). A heated blanket was used to maintain the body temperature at 36 °C. A volume of 200 nl of virus (depending on the viral titer) was injected at a rate of 20 nl/min using calibrated glass microelectrodes connected to an infusion pump (RWD, Shenzhen, China). The coordinates were defined as dorsal-ventral (DV) from the brain surface, anterior-posterior (AP) from the bregma, and mediolateral (ML) from the midline (mm). At each injection site, the micropipette was left in situ for 10 min after the completion of the injection to allow the viralspread and was subsequently withdrawn slowly.

For fiber photometry, 200 nl AAV2/9-CCK-GCaMP6f-EGFP or AAV2/9-VGlut2-GCaMP6f-EGFP was injected into PVH (AP: −0.6 mm, ML: +0.2 mm, DV: 4.6 mm) and ACC (AP: + 1.0 mm, ML: −0.4 mm, DV: 2.0 mm).

For anterograde tracing, AAV2/9-hSyn-EGFP was injected into the right PVH of C57BL/6 J mice. For retrograde tracing, AAV2/R-hSyn-EGFP was injected into the right ACC of C57BL/6 J mice, and the virus spread in a retrogradely manner to the PVH soma to express GFP. For retrograde tracing, AAV-EF1a-DIO-TVA-GFP and AAV-EF1a-DIO-RVG were infused into the ACC. The EnvA-pseudotyped RV-ΔG-DsRed RV was injected into the same site into VGlut2-Cre mice 3 weeks later.

For CCK neurons in the PVH, viruses under the control of a cell-specific CCK promoter were used. AAV2/9-CCK-CRE and AAV2/9-EF1a-DIO-hM3Dq-mCherry viruses were used to activate the CCK neurons in CON mice. AAV2/9-CCK-CRE and AAV2/9-EF1a-DIO-hM4Di-mCherry were used to inhibit CCK neurons in the NCI mice. For glutamatergic neurons in the ACC, AAV2/9-VGlut2-hM3Dq-mCherry and AAV2/9-VGlut2-hM4Di-mCherry were used to label glutamatergic neurons in the ACC. After the mCherry protein was expressed for 3 weeks, CNO (2.5 mg/kg, BrainVTA, Wuhan, China) was intraperitoneally injected 1 h before the behavioral test. Unless otherwise stated, all viruses were packaged in BrainVTA (Wuhan, P. R. China). All the experiments were performed according to this protocol unless otherwise stated. In all experiments performed, the mice were excluded from the study if the viruses were injected into wrong coordinate or the optical fibers were implanted into wrong coordinate.

Fiber photometry system

To evaluate the neuronal activity of the CCK and glutamatergic neurons, AAV2/9-CCK-GCaMP6f-EGFP or AAV2/9-VGlut2-GCaMP6f-EGFP were injected into PVH and ACC regions of the C57BL/6 J mice. The fiber photometry (ThinkerTech Nanjing Biotech) was utilized to record calcium activity in the PVH (AP: −0.6 mm, ML: +0.2 mm, DV: 4.5 mm) and ACC (AP: + 1.0 mm, ML: −0.4 mm, DV: 1.9 mm) 3 weeks after virus injection. Detection methods were the same as described earlier30 and were briefly described below. A 488-nm laser beam was reflected off a dichroic mirror, focused with a 10x objective lens, and coupled to an optical commutator to record the calcium signals. The commutator and implanted fiber were connected by a 2-m optical fiber (200 mm O.D., 0.37 NA). The laser power was adjusted at the tip of the optical fiber to 10–20 mW to decrease laser bleaching, and the analog voltage signals were digitalized at 100 Hz and recorded by the fiber photometry system. The recording of the responses of GCaMP to the stimuli in awake mice was performed using fluorescence values obtained during the assessment by CRD. The data were segmented based on the behavioral events within the individual trials. ΔF/F of the 2-s before stimulation was obtained as the baseline. The photometry data were analyzed with custom-written MATLAB codes (MATLAB R2017b, MathWorks).

Statistical analyses

Data were reported as the mean ± standard error of the mean (SEM), and the normality of data distribution was checked before all comparisons. Animals with incorrect viral microinjection or optic fiber placement were excluded from the analysis. The representative experiments results (such as micrographs) were independently repeated three times, with similar results obtained each time. Significance levels were indicated at *p < 0.05, **p < 0.01, and ***p < 0.001. Data were analyzed using a two-sample t-test, Mann–Whitney U-test, paired-sample t-test, unpaired-sample t-test, one-way repeated-measures ANOVA followed by Tukey’s post hoc test, Dunn’s post hoc test following Friedman ANOVA, and the Kolmogorov-Smirnov test, as appropriate. All statistical analyses were performed using GraphPad Prism 8.0 software (GraphPad Software, San Diego, CA, USA).

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.