| Literature DB >> 36012700 |
Lanlan Jia1,2, Zhengli Chen1,2, Ting Pan1,2, Yu Xia1,2, Junbo He1,2, Asad Jahangir1,2, Xiaoli Wei1,2, Wentao Liu1,2, Riyi Shi3, Chao Huang1,2, Qihui Luo1,2.
Abstract
Obesity has achieved the appearance of a global epidemic and is a serious cause for concern. The hypothalamus, as the central regulator of energy homeostasis, plays a critical role in regulating food intake and energy expenditure. In this study, we show that TRIM67 in the hypothalamus was responsive to body-energy homeostasis whilst a deficiency of TRIM67 exacerbated metabolic disorders in high-fat-diet-induced obese mice. We found exacerbated neuroinflammation and apoptosis in the hypothalamus of obese TRIM67 KO mice. We also found reduced BDNF in the hypothalamus, which affected the fat sympathetic nervous system innervation and contributed to lipid accumulation in adipose tissue under high-fat-diet exposure. In this study, we reveal potential implications between TRIM67 and the hypothalamic function responding to energy overuptake as well as a consideration for the therapeutic diagnosis of obesity.Entities:
Keywords: TRIM67; energy homeostasis; hypothalamus; neuroinflammation; obesity
Mesh:
Substances:
Year: 2022 PMID: 36012700 PMCID: PMC9409122 DOI: 10.3390/ijms23169438
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 6.208
Figure 1TRIM67 is responsive to energy homeostasis. (A) RT-qPCR analysis for the abundance of TRIM67 in different organs (n = 4). (B) The expression levels of TRIM67 in hypothalamus tissues from the different ages of WT mice (n = 4). (C) The expression of TRIM67 in hypothalamus of male mice after a 14-week high-fat diet (n = 4). (D) The protein level of TRIM67 in hypothalamus of male mice after a 14-week high-fat diet (n = 4). (E) The gray value statistical analysis of TRIM67 (n = 4). (F) The expression of TRIM67 in hypothalamus after 24 h starvation (n = 4). Four samples from each group were used for RT-qPCR analysis and two duplicate samples were measured. The data are presented as means ± SEM. * p-value < 0.05; ** p-value < 0.01.
Figure 2TRIM67 deletion slightly affects the development of hypothalamus. (A) Schematic diagram showing TRIM67 knockout using the CRISPR–Cas9 method. (B) ISH staining showed that TRIM67 was completely deleted in hypothalamus. (C) The brain weight of WT and KO mice at 14 d, 21 d, 2 m, and 12 m (n = 4). (D) Organ indexes of 2 m WT and KO mice, including the heart, liver, spleen, lung, cerebellum, testicles, and hypothalamus (n = 4). (E) NISSL staining of 2 m WT and KO mice imaging the ARC region of hypothalamus by Olympus software (n = 3). (F) Statistical analysis was performed on the number of cells in the NISSL section of hypothalamic ARC of 2 m WT and KO mice. Four samples from each group were used for RT-qPCR analysis and two duplicate samples were measured. The data are presented as means ± SEM. * p-value < 0.05; ** p-value < 0.01.
Figure 3TRIM67 deletion activates AgRP-expressing neurons in HFD mice. (A) Schematic diagram of building an HFD mouse model. (B) Levels of certain serum biochemicals between groups (n = 4). (C) Sequential changes in body weight (n = 8). The data are presented as means ± SEM. * WT ND vs. WT HFD; # KO ND vs. KO HFD; *: p < 0.05; ** or ##: p < 0.01. (D) Daily food intake of mice (n = 8). The data are presented as means ± SEM. ¥ WT ND vs. KO ND; * WT ND vs. WT HFD; # KO ND vs. KO HFD; # or ¥: p < 0.05; ** or ## or ¥¥: p < 0.01. (E) The expression levels of orexigenic neuropeptides (AGRP and NPY) and anorexigenic neuropeptides (POMC) in the WT ND, WT HFD, KO ND, and KO HFD groups (n = 4). Four samples from each group were used for RT-qPCR analysis and two duplicate samples were measured. The data are presented as means ± SEM. * p-value < 0.05; ** p-value < 0.01.
Figure 4TRIM67 deletion reduces the fat sympathetic nervous system innervation via BDNF. (A) The weight of fat from each group (n = 8). (B) The expression levels of PGC-1α in WAT from each group (n = 4). (C) The expression levels of brain-derived neurotrophic factor (BDNF) in hypothalamus (n = 4). (D) The immunostaining of TH in BAT and imaging by Olympus software (n = 3). (E) Quantification of fluorescence density of TH (n = 3). Four samples from each group were used for RT-qPCR analysis and two duplicate samples were measured. The data are presented as means ± SEM. * p-value < 0.05; ** p-value < 0.01.
Figure 5TRIM67 deletion increases hypothalamic inflammation in HFD mice. (A) The immunostaining of Iba1 in hypothalamus from four groups and imaging by Olympus software (n = 3). (B) The magnified images of the ARC region (n = 3). (C) The quantity of Iba1-positive cells in the ARC region (n = 3). (D) The protein levels in hypothalamus of Iba1 and GFAP were assayed by Western blots (n = 3). (E) The gray value statistical analysis of Iba1 (n = 3). (F) The mRNA level of Iba1 was assayed by RT-qPCR (n = 4). (G) The gray value statistical analysis of GFAP (n = 3). (H) The mRNA level of GFAP was assayed by RT-qPCR (n = 4). (I) The protein levels in hypothalamus of pro-inflammatory factors and anti-inflammatory factors were assayed by Western blots (n = 3). (J) The gray value statistical analysis of IL-6, TNF-α, and IFN-γ, respectively (n = 3). (K) The gray value statistical analysis of IL-10 and IL-4 (n = 3). (L) The mRNA levels of pro-inflammatory factors in hypothalamus (n = 4). (M) The mRNA levels of anti-inflammatory factors in hypothalamus (n = 4). Four samples from each group were used for RT-qPCR analysis and two duplicate samples were measured. The data are presented as means ± SEM. * p-value < 0.05; ** p-value < 0.01.
Figure 6TRIM67 deletion activates NF-κB pathway. (A) The mRNA levels of NF-κB in hypothalamus (n = 4). (B) The protein levels of NF-κB in hypothalamus (n = 3). (C) The gray value statistical analysis of NF-κB (n = 3). Four samples from each group were used for RT-qPCR analysis and two duplicate samples were measured. The data are presented as means ± SEM. * p-value < 0.05; ** p-value < 0.01.
Figure 7TRIM67 deletion induces apoptosis in hypothalamus. (A) The protein levels of BAX and P53 in hypothalamus (n = 3). (B,C) The gray value statistical analysis of BAX and P53, respectively (n = 3). (D) The expression level of BAX in hypothalamus (n = 4). (E) The expression level of BCL2 in hypothalamus (n = 4). Four samples from each group were used for RT-qPCR analysis and two duplicate samples were measured. The data are presented as means ± SEM. * p-value < 0.05; ** p-value < 0.01.
The primers used for genotype identification.
| Primer | Sequence (5′-3′) | |
|---|---|---|
| KO | F | GATGATAGCCATGTAATGCCCACC |
| R | CCGTGATATGCTT-GCCACAGGTTC | |
| WT | F | GATGA-TAGCCATGTAATGCCCACC |
| R | TGCCGTTTTCCCCTTCTAAATCAG |
The primers used for the RT-qPCR analysis.
| Gene | Sequence (5′-3′) |
|---|---|
|
| F: AGAGGGAAATCGTGCGTGAC |
| R: CAATAGTGATGACCTGGCCGT | |
|
| F: CTTCCATCCAGTTGCCTTCTTG |
| R: AATTAAGCCTCCGACTTGTGAAG | |
|
| F: GTGGCTTTGCCGTGCAATAA |
| R: TAGAGGGCATGCCAGAGCTA | |
|
| F: ACGGCATGGATCTCAAAGAC |
| R: GTGGGTGAGGAGCACGTAG | |
|
| F: GGCGAAGGAGTTTCTGGTTC |
| R: TAGCTTCAGGGTGCAGTGATT | |
|
| F: CTTCCAAGGTGCTTCGCATA |
| R: GATGAATCCAGGCATCGAAA | |
|
| F: AAGGGTTACTTGGGTTGCCA |
| R: CCTGGGGCATCACTTCTACC | |
|
| F: GTGTGGAGCAACATGTGGAACTCTA |
| R: CGCTGAATCGAAAGCCCTGTA | |
|
| F: CTGATCAGGACGCGCAAAC |
| R: TCGCTGCTGCCTTCACTGTA | |
|
| F: CCTGAGCAGGATGGAGAATTACA |
| R: TCCAGAACATGCCGCAGAG | |
|
| F: ATAGATGTGTGGAGCTGGTG |
| R: GGCTGTTCATCTCCGTTG | |
|
| F: GCGCTATGTTGCAGATCGAA |
| R: TCACACAGCTTCCCGATCCT | |
|
| F: CAGACCGAGCAGAAGAAG |
| R: GACTCGTGCAGCCTTACA | |
|
| F: CCGCTCTGCGACACTACAT |
| R: TGTCTCAGGGCTGGATCTCT | |
|
| F: TGAGCAGGCGTGCCATC |
| R: GTACCCGTCAGTTTCACATGATATA | |
|
| F: GCGGGTACCTGTGAAAAGAG |
| R: CCTCAGAGTGGTCGTCATCA | |
|
| F: CAACGTTAAGCTAGCCCTGGACAT |
| R: CTCACCATCCCGCATCTCCACAGT | |
|
| F: CTTTTGGACTGCTGAAGGC |
| R: GTTTCTCCAGCATTCGCTTC | |
|
| F: ATGTGTGGGCGATGACATTGC |
| R: AACCCGTTTTCTGGGTTGATAG | |
|
| F: CTGGAGGAACTGGCAAAAGGATGG |
| R: GACGCTTATGTTGTTGCTGATGGC | |
|
| F: GAAATTCCTGATCCAGACAAAAAC |
| R: ATCACTTCAATGGCCTCTGTGTAG | |
|
| F: CTGGTGGACACATACAGGAAGAC |
| R: ATAGGCACTGTCTTCTTTCACCTC | |
|
| F: CTTCCTCAGCCATGGTACCTCT |
| R: CAAGTCTTCATCAGCATCAAACTG | |
|
| F: CTTTGCCTATGATCCTTCTGC |
| R: GAGTCCAGTGATAGGGGCTCT | |
|
| F: GGCGAAGGAGTTTCTGGTTC |
| R: TAGCTTCAGGGTGCAGTGATT | |
|
| F: GACAAGGCAACTTGGCCTAC |
| R: ACTGTCACACGCTCAGC | |
|
| F: CCAGCCTGAGGGCTTACTG |
| R:CTCCATTGACTGTGACATCTCG | |
|
| F: ACCATGTGTAGCGGAGCAAG |
| R: CTGGTCGTAAGCCTCGTCT | |
|
| F: TATGGAGTGACATAGAGTGTGCT |
| R: CCACTTCAATCCACCCAGAAAG |