CTCF variant begets to short stature by down-regulation of IGF1

in Journal of Molecular Endocrinology
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Hong ChenDepartment of Endocrinology, Genetics and Metabolism, Fuzhou Children’s Hospital of Fujian Medical University, Fuzhou, China

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Weiyu LiDepartment of Endocrinology, Genetics and Metabolism, Fuzhou Children’s Hospital of Fujian Medical University, Fuzhou, China

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Suping ZhangDepartment of Endocrinology, Genetics and Metabolism, Fuzhou Children’s Hospital of Fujian Medical University, Fuzhou, China

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Yunteng SunDepartment of Endocrinology, Genetics and Metabolism, Fuzhou Children’s Hospital of Fujian Medical University, Fuzhou, China

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Yiping ShenDepartment of Genetic and Metabolic Central Laboratory, the Maternal and Child Health Care Hospital of Guangxi Zhuang Autonomous Region, Guangxi Birth Defects Prevention and Control Institute, Nanning, China
Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA

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Ruimin ChenDepartment of Endocrinology, Genetics and Metabolism, Fuzhou Children’s Hospital of Fujian Medical University, Fuzhou, China

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https://orcid.org/0000-0003-4114-7706
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Correspondence should be addressed to R Chen: chenrm321@163.com

*(H Chen and W Li contributed equally to this work)

Open access

Pathogenic variants in the transcription factor CCCTC-binding factor (CTCF) are associated with mental retardation, autosomal dominant 21 (MRD21, MIM#615502). Current studies supported the strong relationship between CTCF variants and growth, yet the mechanism of CTCF mutation leading to short stature is not known. Clinical information, treatment regimens, and follow-up outcomes of a patient with MRD21 were collected. The possible pathogenic mechanisms of CTCF variants leading to short stature were investigated using immortalized lymphocyte cell lines (LCLs), HEK-293T, and immortalized normal human liver cell lines (LO2). This patient received long-term treatment with recombinant human growth hormone (rhGH) which resulted in an increased height of 1.0 SDS. She had low serum insulin-like growth factor 1 (IGF1) before the treatment and the IGF1 level was not significantly increased during the treatment (−1.38 ± 0.61 SDS). The finding suggested that the CTCF R567W variant could have impaired IGF1 production pathway. We further demonstrated that the mutant CTCF had a reduced ability to bind to the promoter region of IGF1, consequently significantly reducing the transcriptional activation and expression of IGF1. Our novel results demonstrated a direct positive regulation of CTCF on the transcription of the IGF1 promoter. The impaired IGF1 expression due to CTCF mutation may explain the substandard effect of rhGH treatment on MRD21 patients. This study provided novel insights into the molecular basis of CTCF-associated disorder.

Abstract

Pathogenic variants in the transcription factor CCCTC-binding factor (CTCF) are associated with mental retardation, autosomal dominant 21 (MRD21, MIM#615502). Current studies supported the strong relationship between CTCF variants and growth, yet the mechanism of CTCF mutation leading to short stature is not known. Clinical information, treatment regimens, and follow-up outcomes of a patient with MRD21 were collected. The possible pathogenic mechanisms of CTCF variants leading to short stature were investigated using immortalized lymphocyte cell lines (LCLs), HEK-293T, and immortalized normal human liver cell lines (LO2). This patient received long-term treatment with recombinant human growth hormone (rhGH) which resulted in an increased height of 1.0 SDS. She had low serum insulin-like growth factor 1 (IGF1) before the treatment and the IGF1 level was not significantly increased during the treatment (−1.38 ± 0.61 SDS). The finding suggested that the CTCF R567W variant could have impaired IGF1 production pathway. We further demonstrated that the mutant CTCF had a reduced ability to bind to the promoter region of IGF1, consequently significantly reducing the transcriptional activation and expression of IGF1. Our novel results demonstrated a direct positive regulation of CTCF on the transcription of the IGF1 promoter. The impaired IGF1 expression due to CTCF mutation may explain the substandard effect of rhGH treatment on MRD21 patients. This study provided novel insights into the molecular basis of CTCF-associated disorder.

Introduction

CCCTC-binding factor (coded by CTCF gene, OMIM *604167), as a transcription insulation protein, plays a key role in regulating the temporal and spatial transcription of genes related to growth in mammals and topologically associated chromatin loop formation (Lupiáñez et al. 2015, Liu et al. 2019). Pathogenic variants in the CTCF gene are associated with mental retardation, autosomal dominant 21 (MRD21, MIM #615502) with short stature, mild facial deformities, and mental retardation (Konrad et al. 2019). Since the initial report by Gregor et al. in 2013, more than 50 intragenic pathogenic CTCF variants have been reported, providing sufficient evidence to establish the strong relationship between CTCF variants and MRD21 per ClinGen gene curation classification (https://www.clinicalgenome.org/) (Gregor et al. 2013, Chen et al. 2019, Konrad et al. 2019). The dosage alteration of the CTCF variants could be one of the mechanisms for cognition impairment (Gregor et al. 2013, Konrad et al. 2019). Patients with MRD21 consistently have short stature, yet how CTCF variants lead to short stature is ill-defined.

We performed mechanistic analyses, revealed impaired insulin-like growth factor 1 (IGF1) expression in a patient with CTCF pathogenic variant, and uncovered decreased binding of mutant CTCF to the promoter of the IGF1 gene in cell models. Our study implicates that the CTCF variant by affecting IGF1 expression may be one of the reasons for short stature in patients with MRD21.

Materials and methods

Study subjects

This study was reviewed and approved by the Ethics Committee of Fuzhou Children's Hospital of Fujian Medical University (No. 2019-33) and was conducted in agreement with the Declaration of Helsinki. Written and informed consent was obtained from the parents of the proband.

Clinical evaluations

The parents signed informed consent for the recombinant human growth hormone (rhGH) treatment. Clinical follow-up information including height, weight, growth hormone treatment, insulin-like growth factor 1 (IGF1), insulin-like growth factor binding protein 3 (IGFBP3), and bone age was collected from birth to 12.5 years old. Height and weight were plotted on the standardized growth charts for Chinese children and adolescents aged 2–18 years (Li et al. 2009).

Molecular modeling

The three-dimensional structure of human CTCF protein was modeled on the crystal structure (PDB entry 5YEL) (https://www.uniprot.org/). Bioinformatic tools from HOPE (https://www3.cmbi.umcn.nl/hope/) were used to model and predict the effects of the p.R567W variant on CTCF. The interactions between amino acid residues were analyzed using DynaMut (http://biosig.unimelb.edu.au/dynamut/) (Rodrigues et al. 2018). In addition, we predicted the effect of mutations on protein–nucleic acid interactions by the webserver mCSM-NA (http://structure.bioc.cam.ac.uk/mcsm_na). Finally, PyMOL 2.5 was used for the visualization of the docking results.

Immortalized lymphoblastic cell lines construction

A standard procedure was adopted for obtaining peripheral blood mononuclear cells (PBMCs) from the patient and healthy donors via leukaphereses. The PBMC was separated from the blood by density gradient centrifugation (Küry et al. 2017). The EBV (Epstein-Barr virus) B95-8 virus was produced from B95-8 cells with conditional expression of ZTA (Wang et al. 2019). Cells were cultured at a density of 1000 cells/mL in RPMI1640/10% fetal bovine serum for 10 days. The virus-containing supernatant was collected and filtered through a 0.45 μm filter to remove cells and cell debris. The immortalized lymphoblastic cell lines (LCLs) were constructed through the co-cultivate of peripheral monocytes and EBV with the drug cyclosporin A (CYA) (Solabio, Burlington, MA, USA) and phytohemagglutinin (PHA) (Sigma-Aldrich) (Dikalov et al. 2007).

Wildtype and mutant CTCF gene expression plasmid construction

Wildtype full-length human CTCF complementary DNA (NM_ 006565.3) was chemically synthesized and cloned into the plasmid vector pCMV-MCS-FLAG. The c.1699C>T variant was introduced into the CTCF sequence using ClonExpress Ⅱ One Step Cloning Kit (Vazyme, Nanjing, China). The cDNA was amplified using 2× Phanta Max Master Mix (Vazyme). The connected product was transformed into Escherichia coli DH5a. Positive clones were selected and sequenced to verify the correct insertion sequence. All operations were following the manufacturer's requirements. The primer sequences were designed by the CE Design of the Vazyme official website (Supplementary Table 1, see section on supplementary materials given at the end of this article) and synthesized by Sangon Biotech.

Cell culture and transfection

Cell culture media were prepared and maintained according to standard cell culture procedures. The HEK-293T (ATCC® CRL-11268) were cultured in high-glucose DMEM (Hyclone®), containing 10% fetal bovine serum and 1% penicillin-streptomycin at 37°C with 5% CO2. B958-EBV, LCLs, and immortalized normal human liver cell line LO2 cells were cultured with RPMI1640 medium with 10% fetal bovine serum at 37°C with 5% CO2. HEK-293T cells were cultured in 24-well plates. For transient transfections, 70% confluent HEK-293T cells were transfected with 500 ng plasmid DNA per well by Hieff Trans™ Liposomal Transfection Reagent (Cat#40802, Yeasen, Shanghai, China). All cell lines were routinely tested for mycoplasma contamination.

For transient transfection, HEK-293T and LO2 cells were seeded in a 6-well plate until 60–80% confluence. The volume/mass ratio of Exfect2000 Transfection Reagent (Vazyme) to DNA was 3:1. Transfection efficiency was evaluated using quantitative real-time polymerase chain reaction (qPCR) and Western blot. After transfection for 48 h, cells/supernatant was collected for subsequent studies.

Quantitative real-time polymerase chain reaction

Three groups were tested, including a negative control with only plasmid pCMV-MCS-FLAG, WT with pCMV-MCS-FLAG-WT-CTCF, and experimental groups with pCMV-MCS-FLAG-MUT- CTCF of c.1699C>T. To determine the mRNA level under the impact of the CTCFR567W variant, we performed qPCR assays in three groups in three cell lines, including HEK-293T, LO2, and LCLs. Total RNA was obtained using an easy Isolation Reagent (Vazyme). cDNA was obtained using the HiScript Ⅲ 1st Strand cDNA Synthesis Kit (Vazyme). Primers were designed by NCBI-Primer Blast (National Center for Biotechnology Information (NCBI)) (Supplementary Table 1) and synthesized by Sangon Biotech. Messenger RNA (mRNA) expression levels were quantified by Applied Biosystems StepOnePlus Real-Time PCR System using 2×ChamQ Universal SYBR qPCR Master Mix (Vazyme). At least three independent experiments were conducted. Data were expressed as mean ± s.d. and analyzed using t-test.

Western blot analysis

To analyze the protein level of the CTCF, we performed Western blot assays in three groups in the LO2 cell line using two distinct rabbit monoclonal primary antibodies: anti-CTCF antibody (Abcam) and anti-FLAG antibody (Abcam), the latter being a marker sequence of the target gene. The cells were collected and lysed in RIPA lysis buffer (Beyotime, Shanghai, China). Equal amount of protein (30 μg), as quantitated using the BCA Protein Assay, from each group was resolved in 8% SDS-PAGE and then electro-transferred onto a polyvinylidene difluoride membranes for western blot analysis (Li et al. 2018).

Enzyme-linked immunosorbent assay

To determine the protein level of IGF1 and IGFBP3, snzyme-linked immunosorbent assays (ELISA) in three groups in three different cell lines were used. The protein expression levels of IGF1 and IGFBP3 were quantified using Human IGF1 ELISA Kit (Elabscience, Wuhan, China) and Human IGFBP-3 ELISA Kit (Elabscience), respectively.

Luciferase assay

Luciferase assays in HEK-293T cells were used to assess transcription activation. The promoter of IGF1 (−900 bp to +137 bp) was amplified and inserted into the plasmid vector pGL4.1. HEK-293T cells (1 × 104 cells/well) were seeded in 24-well plates until 60–80% confluence, then IGF1 reporter vectors were co-transfected with recombinant pGL4.1 luciferase reporter plasmid and wildtype or variant CTCF expression vectors with the DNA ratio 1:1 (2.5 μg each) by Exfect2000 Transfection Reagent (Vazyme). Luciferase was evaluated at 24, 36, 48, 60, and 72 h after transfection using the luciferase assay system (Promega).

Chromatin immunoprecipitation-qPCR

To study the occupation rate of CTCF on the primer region, we performed a chromatin immunoprecipitation (CHIP)-qPCR assay in HEK-293T cells. The cells (1 × 104 cells/well) were seeded in 24-well plates and transfected with the wildtype or variant CTCF expression vectors until 60–80% confluence. Cells were collected 72 h after transfection. The protocol for ChIP-qPCR analysis was performed per MAGnify™ Chromatin Immunoprecipitation System (Invitrogen). The DNA fragments of 500–1000 bp were sonicated and purified. The input was used as the positive control and rabbit IgG served as the negative control. The qPCR analysis followed was performed as steps mentioned earlier. The sequences of primers for the promoter region used in this study are shown in Supplementary Table 1.

Statistical analysis

Western blotting images were processed using Fiji/Image J software (https://imagej.net/Fiji). Statistical analyses were performed in Graph Pad Prism 8 program. Two-sided t-tests were performed to compare groups. At least three independent experiments were conducted to verify the results. Data were considered statistically significant when P < 0.05. Data are means ± s.e.m. of three independent experiments. (*P < 0.05; **P < 0.01; ***P < 0.001).

Results

Clinical evaluations

The patient characteristics, including diagnoses and detailed clinical features, are described in our previous paper (Chen et al. 2019). In this report, we further detail the postnatal growth and development as well as the treatment and follow-up of the child carrying the CTCF gene variant (c.1699C>T, p.R567W). Her birth height was normal. In the first years of life, linear growth was poor, dropping to a height of −2.87 SDS at the age of 5. Due to her short stature, she received rhGH therapy (0.10–0.18 IU/kg/day) from 5.5 to 12.5 years of age. During 6.5 years of rhGH treatment, her height increased from −2.79 SDS to −1.77 SDS (Table 1). In the first year of treatment, the height increased by 0.48 SDS (Fig. 1A and B). Notably, she had low IGF1 levels before treatment and they did not increase significantly during rhGH treatment (−1.38 ± 0.61 SDS). IGFBP3 levels were normal. In addition, she had poor weight gain after birth until the latest follow-up (−2.44 ± 0.57 SDS). She entered puberty spontaneously at 9.5 years but has no menarche at 12.5 years. Details of follow-up, treatment, and outcome treatment are provided in Table 1.

Figure 1
Figure 1

Growth chart of the patient with heterozygous CTCF variant before and during the rhGH treatment. (A) The height and weight curves of the patient from birth to age 12. The black dots represent points of measurement. (B) The height trends during rhGH treatment. A full color version of this figure is available at https://doi.org/10.1530/JME-22-0193.

Citation: Journal of Molecular Endocrinology 70, 4; 10.1530/JME-22-0193

Table 1

Genetic information and response to growth hormone therapy in the patient.

Age (years) Duration of GH treatment (years) Dose of rhGH (IU/kg/d) Height (cm) HSDS Weight (kg) WSDS Bone age (years) IGF1 (pg/mL) IGF1 (SDS) IGFBP3 (mg/L)
Birth 0 0 50.0 0.16 2.65 −2.13 ND ND ND ND
1.1 0 0 70 −2.3 7.5 −0.73 ND <25.0 <−2.0 ND
1.7 0 0 78.4 −1.75 9.0 −1.39 ND 46.0 −1.5 ND
2.8 0 0 86.7 −2.03 9.5 −2.91 ND ND ND ND
4.2 0 0 93.5 −2.87 10.3 −2.2 2.0 ND ND ND
5.5 0 0.10 101.8 −2.79 12.5 −2.97 3.0 92.0 −1.0 ND
6.0 0.5 0.12 104.7 −2.71 12.7 −2.23 ND 112.0 −0.97 3.30
6.5 1 0.12 108.8 −2.31 13.5 −2.35 ND 122 −0.88 3.33
7.0 1.5 0.12 111.4 −2.33 15.0 −2.77 ND 148 −0.65 ND
7.5 2.0 0.12 115.4 −2.08 14.5 −2.01 5.9 98.8 −1.71 3.6
8.0 2.5 01.3 117.3 −2.13 16 −2.88 6.3 110 −1.78 2.71
8.5 3.0 0.15 119.8 −2.11 17.0 −2.84 7 121 −1.76 3.12
9.0 3.5 0.16 123.6 −1.89 18.0 −2.88 7.5 122 −2.10 4.18
9.5 3.5 0 125.1 −2.05 18 −2.83 8 107 −2.26 3.76
10.0 4.0 0.16 128.1 −2.04 19 −2.93 ND 249 −0.80 2.12
10.5 4.5 0.17 131 −1.94 21 −2.40 8.5 208 −1.20 4.68
11.0 5.0 0.17 134 −1.97 22.8 −2.03 ND 317 −0.17 4.83
11.5 5.5 0.17 137.8 −1.85 23 −2.65 9.5 256 −0.95 ND
12.0 6.0 0.18 140.6 −1.89 24 −2.71 9.8 170 −2.1 4.29
12.5 6.50 0.18 143.9 −1.77 25.5 −2.69 ND 170 −2.2 4.67

GH, growth hormone; HSDS, height standard deviation score; IGF1, insulin-like growth factor 1; IGFBP3, insulin-like growth factor binding protein 3; ND, not done; rhGH, recombinant human growth hormone; WSDS, weight standard deviation score.

Three-dimensional structure modeling of the CTCFR567W variant

PyMol software was used to visualize the 3D structure of the wildtype of CTCF (amino acids: 450–580) (Fig. 2A). This is then used as a basis for further modeling of protein structure to predict possible changes in protein flexibility after mutation. The p.R567W variant reduced the local flexibility of the protein (ΔΔSVibENCoM: −4.186 kcal/mol/K) (Fig. 2B). In addition, the mCSM-NA software foretells that the p.Arg567Trp variant reduces the affinity of the Trp567 residue to DNA (ΔΔG - 0.405 kcal/mol).

Figure 2
Figure 2

Three-dimensional structure modeling of the CTCFR567W variant. (A) Three-dimensional structure of wildtype CTCF protein. The crystal structures above were based on the UniProt reference molecular structure (PDB: 5YEL). The black dotted box marks the position of the Arg567 variant. The amino acid Arg567 was labeled red. (B) Δ Vibrational entropy energy | Visual representation of variant: amino acids colored based on the vibrational entropy change of the variant. Blue represents a rigidification of structure. (C, D) Interaction prediction between amino acid residues: wildtype and variant residues are represented as red sticks. These are placed alongside surrounding residues which are also involved in other types of interactions. Red arrows indicate interactions between altered amino acids. Black arrows indicate wildtype or variant amino acid residues. Hydrogen bonding is shown with a yellow dotted line. DC, cytosine deoxyribonucleoside. A full color version of this figure is available at https://doi.org/10.1530/JME-22-0193.

Citation: Journal of Molecular Endocrinology 70, 4; 10.1530/JME-22-0193

Lastly, the HOPE and DynaMut online servers were used to predict the local interactions between wildtype amino acid residues and variant amino acid residues. As a result of the point mutation, arginine (Arg/R) was substituted with tryptophan (Trp/W) resulting in significant differences in residue size. Moreover, the variant introduced a more hydrophobic residue that could disrupt the folding of proteins and/or cause hydrogen bond loss (Fig. 2C and D). The differences in amino acid properties disturb a Zinc-finger domain which may disrupt its binding to DNA. The special structural disturbance of the p.Arg567Trp variant cancels the local hydrogen bond pattern of the Arg567Trp residue to the adjacent cytosine deoxyribonucleoside 21 (DC21) residue, thereby attenuating the flexibility of the variant.

CTCFR567W variant inhibited the expression of IGF1 gene

IGF1 is a key regulator of growth, differentiation, and metabolism of bone cells (Missailidis et al. 2020). To further assess the effect of the CTCFR567W variant on IGF1 signaling pathways, we analyzed the effects of the variant on the expression of key genes for linear growth. We overexpressed the wild-type or mutant CTCF gene in the HEK-293T cells and immortalized normal human liver cell line LO2. Our analysis showed that there was no significant difference in CTCF mRNA expression and protein levels between the wildtype and mutant groups (Fig. 3A and B). We then assessed the mRNA and protein levels of IGF1 and IGFBP3 genes in the HEK-293T, LO2, and LCLs. In HEK-293T, LO2, and LCLs, IGF1 mRNA expression in the mutant group was 15.5, 32.4, and 16.2% of that in the wildtype group, respectively (Fig. 3C), while the protein expression had decreased to 41.5, 23.4, and 13.4% of that in the wildtype (Fig. 3D). In LO2 cells, the mRNA expression of IGFBP3 in the mutant group was 36.0% to that in the wildtype group (Fig. 3E), and the protein expression decreased to 42.7% of the wildtype (Fig. 3F). However, in HEK-293T and LCLs, CTCFR567W variant did not affect the expression of IGFBP3. These results demonstrate that the CTCFR567W variant inhibits the expression of the IGFBP3 gene in LO2 cells and down-regulated the expression of the IGF1 gene in all three different cell lines.

Figure 3
Figure 3

The CTCFR567W variant inhibition of IGFs gene expression. (A) qPCR analysis of the expression level of CTCF mRNA in the wild and mutant groups in three different cell lines. (B) Western blot analysis of the expression level of CTCF protein in the wildtype and mutant groups in LO2 cells. FLAG is a label protein of vectors. (C) In HEK-293T, LO2, and LCLs, mRNA levels of IGF1 were measured using quantitative PCR. (D) IGF1 protein levels were analyzed with ELISA. (E) In HEK-293T, LO2, and LCLs, mRNA levels of IGFBP3 were measured using quantitative PCR. (D) IGFBP3 protein levels were analyzed with ELISA. For quantitative PCR, results were normalized to β-actin as a reference and compared with control cells transfected with an empty vector plasmid (n ≥ 3; mean ± s.e.m. shown; ***P < 0.001 by Student t-test). For Western blotting, results were normalized to β-actin as a reference (n = 3; mean ± s.e.m. shown; *P < 0.05, **P < 0.01, and ***P < 0.001). A full color version of this figure is available at https://doi.org/10.1530/JME-22-0193.

Citation: Journal of Molecular Endocrinology 70, 4; 10.1530/JME-22-0193

CTCFR567W variant directly decreases the transcription of IGF1 gene

To confirm whether CTCF567W variant directly regulates the transcriptional activation of IGF1, we performed a luciferase reporter gene assay in HEK-293T cells. The change of the measured value for 72 consecutive hours was shown as the broken lines (Fig. 4A). Relative luminescence units (RLU) data represent the fold change in the mutant group with the wild group set at a mean value of 1 (Fig. 4B). The results of RLU demonstrated the activation of the IGF1 promoter reporter vector in the mutant group was robust and significantly down-regulated and, at 60 h after transfection, the relative luciferase activity in the mutant group reached a nadir, reduced by 72.56% compared to the wildtype group (Fig. 4A and B).

Figure 4
Figure 4

Regulation of IGF1 expression by CTCF. (A, B) The transcriptional activity of IGF1 responds to the CTCFR567W variant by luciferase assay in HEK-293T cell. Co-transfected HEK-293T cells with wildtype or mutant CTCF expression plasmids and IGF1 reporter recombinant plasmids. (A) Luciferase activity was determined at 24, 36, 48, 60, and 72 h after transfection. (B) For comparison, the wildtype values were adjusted to 1’; a histogram represents the relative value of transcriptional activities. Data are means ± s.e.m. of three independent experiments (*P < 0.5; **P < 0.001; ***P < 0.0001; t-test). (C, D) The interaction between the CTCFR567W variant and IGF1 by CHIP-qPCR assay. (C) The diagram of full-length (FL) of IGF1 gene promoter (pmIGF1-FL). (D) CHIP-qPCR assay of the occupation rate of CTCF on the IGF1 primer region. NC, negative control; pm: promoter; TBE:,transcription binding elements; TSS, transcription start sites. Data are means ± s.e.m. of three independent experiments (*P < 0.5; **P < 0.001; ***P < 0.0001; t-test). A full color version of this figure is available at https://doi.org/10.1530/JME-22-0193.

Citation: Journal of Molecular Endocrinology 70, 4; 10.1530/JME-22-0193

Reduced binding of CTCFR567W on IGF1 gene

To further investigate the interactions between CTCF and the promoter regions of IGF1 gene in the nucleus, chromosome immunoprecipitation followed by qPCR (CHIP-qPCR) in HEK-293T cell lines was performed. JASPAR online website predicted that CTCF has one binding site in the IGF1 promoter region (Fig. 4C). Wildtype CTCF protein is highly enriched in this region and promotes transcription of IGF1. Compared with the wildtype, the CTCFR567W variant was significantly less enriched in the full length of the IGF1 promoter, only 3% of the wildtype (Fig. 4D).

Discussion

Heterozygous mutations in the CTCF gene are associated with short stature (Chen et al. 2019). To date, there are no reports of patients with MRD21 due to mutations treated with rhGH. This patient received long-term treatment with rhGH (6.5 years) and improved in height by 1.0 SDS. Although there are no well-established criteria for rhGH effectiveness, a recent study reported a mean height increase of 2 SDS after 6 years of rhGH treatment in idiopathic short stature (ISS) patients (Zhao et al. 2021). Our patient demonstrated a marginal degree of improvement in growth velocity with rhGH therapy, but not as significant as the growth effect on ISS patients (Ying et al. 2018). The increase in IGF1 concentrations during rhGH treatment is a surrogate marker reflecting the efficacy of treatment (Ying et al. 2018). Previous studies have shown that in patients with IGF1 deficiency, an improved growth response is possible if a higher dose of rhGH is prescribed (Walenkamp et al. 2013). Yet, our patient showed no increase in IGF1 levels during rhGH treatment, even though the dose of rhGH was increased from 1.0 to 1.8 IU/kg/day. Therefore, we propose that mutant CTCF impacts IGF1 gene expression, which in turn leads to short stature and the non-ideal response of long-term rhGH treatment.

The CTCF protein is encoded by the CTCF gene located at chromosome 16q22.1 and generates a highly conserved transcription factor of approximately 80 KDa (Soshnikova et al. 2010). The CTCF protein consists of 11 domains of C2H2-type zinc finger structures which bind over 30,000 DNA motifs with different combinations numerous in the human genome (Jerković et al. 2017). CTCF is involved in many gene expression regulating processes, including transcription regulation, imprinting, RNA shearing, chromosome loop formation, and X-inactivation (Franke et al. 2016, Hansen et al. 2017, Lazniewski et al. 2019, Saldaña-Meyer et al. 2019). It plays a vital role in regulating developmental genes and governs vertebral growth and differentiation (Lupiáñez et al. 2015, Liu et al. 2019). Based on the available clinical evidence, CTCF pathogenetic variants have been implicated in human short stature, but the pathogenesis is unexplained. In the present study, we found the Arg567Trp residue of CTCF is located in the α-helix of the 11th zinc finger domain and is evolutionarily highly conserved in vertebrates. The results of the DynaMut online server predicted that the p.Arg567Trp variant would be neutral, which infers that the overall structure of CTCFR567W is stable. Based on the 3D crystal structure of human CTCF (PDB: 5yel), the results indicate that the substitution of Arg with the natural Trp in the hydrogen core destabilizes the α-helix of the zinc finger structure by canceling the interaction between Arg567 and DC21. These results are in agreement with those of a previous study (Gregor et al. 2013). The flexibility of the α-helix is an indispensable mechanism for ensuring protein function, protein–protein interactions, and protein–substrate binding (Jarosch 2005, Pauwels & Tompa 2016). Thus, the impaired flexibility of the α-helix and affinity with the deoxynucleotide of the CTCFR567W may account for the disrupted function of the CTCF.

Previous studies have confirmed the importance of IGF1 in fetal growth in utero and after birth (Netchine et al. 2011, Shcheglovitov et al. 2013). Most studies emphasize its transcriptional function in folding mammalian genomes into spatial domains to block or intensify the effect of enhancers on promoters. On the other hand, several studies conclude that CTCF also interacts with the promoter region to activate the transcription directly, independent of the formation of chromosome loops. Our data suggest that the CTCFR567W variant is responsible for reduced levels of IGF1, and this variant could potentially affect other short stature-related genes in cells. We compared the IGF1 levels between cells over-expressed with wildtype CTCF or mutant CFCT: the significant changes in IGF1 level could be best explained by the variant CTCF. Following that, we performed qPCR and ELISA experiments with patient-derived immortalized lymphocytes (heterozygotes) and obtained similar results as in the overexpressed cell lines. This effect could be due to a dominant negative mechanism. Compared with the wild group, the CTCFR567W variant had a reduced ability to bind DNA. Furthermore, CHIP-qPCR showed that CTCF interacted with the IGF1 promoter. The CTCFR567W variant significantly reduced its interaction with the IGF1 promoter sequence and inhibited its transcriptional activation of the IGF1 gene. The direct regulation of the IGF1 gene promoter by CTCF may explain the short stature and poor response to rhGH in the MRD21 patient. Insofar as CTCF can bind to and regulate many genes, our experiments suggest that the CTCF variant may influence human height through impaired IGF1 production. And, as for now, the coupling between CTCF and human height is a conjecture.

Conclusions

In sum, our findings reveal that the CTCFR567W variant, located in the α-helix of the 11th zinc finger, significantly hinders the DNA binding of the CTCFR567W to IGF1 gene promoter, thereby down-regulating IGF1 expression and signaling. The low IGF1 level in patient and the reduced expression of IGF1 due to CTCF mutation could partially explain the short stature phenotype and the unsatisfactory height improvement of the patient with long-term rhGH treatment. Taken together, our study provides novel insights into the molecular mechanisms by which CTCF gene variants contribute to short stature. Studies on additional patients and variants could further corroborate our findings.

Supplementary materials

This is linked to the online version of the paper at https://doi.org/10.1530/JME-22-0193.

Declaration of interest

There are no competing financial or nonfinancial interests.

Funding

This study was supported by the Fuzhou Science and Technology Plan Project (2019-S-80), Fuzhou Science and Technology Project (2021-S-197), and Health and Health Science and Technology Program Projects of Fujian Province (2021GGA068) and National Natural Science Foundation of China grant 82071276.

Data availability statement

All datasets generated for this study are included in the article.

Consent for publication

All authors consent for publication.

Ethics approval and consent to participate

This study was reviewed and approved by the Ethics Committee of Fuzhou Children's Hospital of Fujian Medical University and was conducted in agreement with the Declaration of Helsinki.

Author contribution statement

Hong Chen: Writing-Original Draft, Investigation, Data curation; Weiyu Li: Writing-Original Draft, Investigation, and Validation; Suping Zhang and Yunteng Sun: Investigation and Validation; Yiping Shen; Conceptualization and Writing-Review & Editing; Ruimin Chen: Conceptualization, Methodology, Writing-Review & Editing.

Acknowlegements

The authors are grateful to the family members and the patient for the participation in this study.

References

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    • Search Google Scholar
    • Export Citation
  • Dikalov SI, Li W, Mehranpour P, Wang SS & & Zafari AM 2007 Production of extracellular superoxide by human lymphoblast cell lines: comparison of electron spin resonance techniques and cytochrome C reduction assay. Biochemical Pharmacology 73 972980 (https://doi.org/10.1016/j.bcp.2006.12.012)

    • Search Google Scholar
    • Export Citation
  • Franke M, Ibrahim DM, Andrey G, Schwarzer W, Heinrich V, Schöpflin R, Kraft K, Kempfer R, Jerković I, Chan WL, et al.2016 Formation of new chromatin domains determines pathogenicity of genomic duplications. Nature 538 265269 (https://doi.org/10.1038/nature19800)

    • Search Google Scholar
    • Export Citation
  • Gregor A, Oti M, Kouwenhoven EN, Hoyer J, Sticht H, Ekici AB, Kjaergaard S, Rauch A, Stunnenberg HG, Uebe S, et al.2013 De novo mutations in the genome organizer CTCF cause intellectual disability. American Journal of Human Genetics 93 124131 (https://doi.org/10.1016/j.ajhg.2013.05.007)

    • Search Google Scholar
    • Export Citation
  • Hansen AS, Pustova I, Cattoglio C, Tjian R & & Darzacq X 2017 CTCF and cohesin regulate chromatin loop stability with distinct dynamics. eLife 6 e25776 (https://doi.org/10.7554/eLife.25776)

    • Search Google Scholar
    • Export Citation
  • Jarosch R 2005 The alpha-helix, an overlooked molecular motor. Protoplasma 227 3746 (https://doi.org/10.1007/s00709-005-0136-0)

  • Jerković I, Ibrahim DM, Andrey G, Haas S, Hansen P, Janetzki C, González Navarrete I, Robinson PN, Hecht J & & Mundlos S 2017 Genome-wide binding of posterior HOXA/D transcription factors reveals subgrouping and association with CTCF. PLOS Genetics 13 e1006567 (https://doi.org/10.1371/journal.pgen.1006567)

    • Search Google Scholar
    • Export Citation
  • Konrad EDH, Nardini N, Caliebe A, Nagel I, Young D, Horvath G, Santoro SL, Shuss C, Ziegler A, Bonneau D, et al.2019 CTCF variants in 39 individuals with a variable neurodevelopmental disorder broaden the mutational and clinical spectrum. Genetics in Medicine : Official Journal of the American College of Medical Genetics 21 27232733 (https://doi.org/10.1038/s41436-019-0585-z)

    • Search Google Scholar
    • Export Citation
  • Küry S, Besnard T, Ebstein F, Khan TN, Gambin T, Douglas J, Bacino CA, Craigen WJ, Sanders SJ, Lehmann A, et al.2017 De novo disruption of the proteasome regulatory subunit PSMD12 causes a syndromic neurodevelopmental disorder. American Journal of Human Genetics 100 689 (https://doi.org/10.1016/j.ajhg.2017.03.003)

    • Search Google Scholar
    • Export Citation
  • Lazniewski M, Dawson WK, Rusek AM & & Plewczynski D 2019 One protein to rule them all: the role of CCCTC-binding factor in shaping human genome in health and disease. Seminars in Cell and Developmental Biology 90 114127 (https://doi.org/10.1016/j.semcdb.2018.08.003)

    • Search Google Scholar
    • Export Citation
  • Li H, Ji CY, Zong XN & & Zhang YQ 2009 Height and weight standardized growth charts for Chinese children and adolescents aged 0 to 18 years. Zhonghua Er Ke Za Zhi = Chinese Journal of Pediatrics 47 487492.

    • Search Google Scholar
    • Export Citation
  • Li S, Pan H, Tan C, Sun Y, Song Y, Zhang X, Yang W, Wang X, Li D, Dai Y, et al.2018 Mitochondrial dysfunctions contribute to hypertrophic cardiomyopathy in patient iPSC-derived cardiomyocytes with MT-RNR2 mutation. Stem Cell Reports 10 808821 (https://doi.org/10.1016/j.stemcr.2018.01.013)

    • Search Google Scholar
    • Export Citation
  • Liu F, Wu D & & Wang X 2019 Roles of CTCF in conformation and functions of chromosome. Seminars in Cell and Developmental Biology 90 168173 (https://doi.org/10.1016/j.semcdb.2018.07.021)

    • Search Google Scholar
    • Export Citation
  • Lupiáñez DG, Kraft K, Heinrich V, Krawitz P, Brancati F, Klopocki E, Horn D, Kayserili H, Opitz JM, Laxova R, et al.2015 Disruptions of topological chromatin domains cause pathogenic rewiring of gene-enhancer interactions. Cell 161 10121025 (https://doi.org/10.1016/j.cell.2015.04.004)

    • Search Google Scholar
    • Export Citation
  • Missailidis D, Annesley SJ, Allan CY, Sanislav O, Lidbury BA, Lewis DP & & Fisher PR 2020 An isolated Complex V inefficiency and dysregulated mitochondrial function in immortalized lymphocytes from ME/CFS patients. International Journal of Molecular Sciences 21 1074 (https://doi.org/10.3390/ijms21031074)

    • Search Google Scholar
    • Export Citation
  • Netchine I, Azzi S, Le Bouc Y & & Savage MO 2011 IGF1 molecular anomalies demonstrate its critical role in fetal, postnatal growth and brain development. Best Practice and Research. Clinical Endocrinology and Metabolism 25 181190 (https://doi.org/10.1016/j.beem.2010.08.005)

    • Search Google Scholar
    • Export Citation
  • Pauwels K & & Tompa P 2016 Editorial: function and flexibility: friend or foe? Frontiers in Molecular Biosciences 3 31 (https://doi.org/10.3389/fmolb.2016.00031)

    • Search Google Scholar
    • Export Citation
  • Rodrigues CH, Pires DE & & Ascher DB 2018 DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability. Nucleic Acids Research 46 W350W355 (https://doi.org/10.1093/nar/gky300)

    • Search Google Scholar
    • Export Citation
  • Saldaña-Meyer R, Rodriguez-Hernaez J, Escobar T, Nishana M, Jácome-López K, Nora EP, Bruneau BG, Tsirigos A, Furlan-Magaril M, Skok J, et al.2019 RNA interactions are essential for CTCF-mediated genome organization. Molecular Cell 76 412422.e5 (https://doi.org/10.1016/j.molcel.2019.08.015)

    • Search Google Scholar
    • Export Citation
  • Shcheglovitov A, Shcheglovitova O, Yazawa M, Portmann T, Shu R, Sebastiano V, Krawisz A, Froehlich W, Bernstein JA, Hallmayer JF, et al.2013 SHANK3 and IGF1 restore synaptic deficits in neurons from 22q13 deletion syndrome patients. Nature 503 267271 (https://doi.org/10.1038/nature12618)

    • Search Google Scholar
    • Export Citation
  • Soshnikova N, Montavon T, Leleu M, Galjart N & & Duboule D 2010 Functional analysis of CTCF during mammalian limb development. Developmental Cell 19 819830 (https://doi.org/10.1016/j.devcel.2010.11.009)

    • Search Google Scholar
    • Export Citation
  • Walenkamp MJE, Losekoot M & & Wit JM 2013 Molecular IGF-1 and IGF-1 receptor defects: from genetics to clinical management. Endocrine Development 24 128137 (https://doi.org/10.1159/000342841)

    • Search Google Scholar
    • Export Citation
  • Wang LW, Shen H, Nobre L, Ersing I, Paulo JA, Trudeau S, Wang Z, Smith NA, Ma Y, Reinstadler B, et al.2019 Epstein-Barr-Virus-Induced one-carbon metabolism drives B cell transformation. Cell Metabolism 30 539555.e11 (https://doi.org/10.1016/j.cmet.2019.06.003)

    • Search Google Scholar
    • Export Citation
  • Ying YQ, Hou L, Liang Y, Wu W & & Luo XP 2018 Efficacy and safety of recombinant human growth hormone in treating Chinese children with idiopathic short stature. Growth Hormone and IGF Research: Official Journal of the Growth Hormone Research Society and the International Igf Research Society 42–43 8085 (https://doi.org/10.1016/j.ghir.2018.09.003)

    • Search Google Scholar
    • Export Citation
  • Zhao Q, Zhang M, Chu Y, Sun H, Pan H & & Ban B 2021 A retrospective analysis of patients with short stature in Eastern China between 2013 and 2019. BioMed Research International 2021 6640026 (https://doi.org/10.1155/2021/6640026)

    • Search Google Scholar
    • Export Citation

Supplementary Materials

 

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    Figure 1

    Growth chart of the patient with heterozygous CTCF variant before and during the rhGH treatment. (A) The height and weight curves of the patient from birth to age 12. The black dots represent points of measurement. (B) The height trends during rhGH treatment. A full color version of this figure is available at https://doi.org/10.1530/JME-22-0193.

  • View in gallery
    Figure 2

    Three-dimensional structure modeling of the CTCFR567W variant. (A) Three-dimensional structure of wildtype CTCF protein. The crystal structures above were based on the UniProt reference molecular structure (PDB: 5YEL). The black dotted box marks the position of the Arg567 variant. The amino acid Arg567 was labeled red. (B) Δ Vibrational entropy energy | Visual representation of variant: amino acids colored based on the vibrational entropy change of the variant. Blue represents a rigidification of structure. (C, D) Interaction prediction between amino acid residues: wildtype and variant residues are represented as red sticks. These are placed alongside surrounding residues which are also involved in other types of interactions. Red arrows indicate interactions between altered amino acids. Black arrows indicate wildtype or variant amino acid residues. Hydrogen bonding is shown with a yellow dotted line. DC, cytosine deoxyribonucleoside. A full color version of this figure is available at https://doi.org/10.1530/JME-22-0193.

  • View in gallery
    Figure 3

    The CTCFR567W variant inhibition of IGFs gene expression. (A) qPCR analysis of the expression level of CTCF mRNA in the wild and mutant groups in three different cell lines. (B) Western blot analysis of the expression level of CTCF protein in the wildtype and mutant groups in LO2 cells. FLAG is a label protein of vectors. (C) In HEK-293T, LO2, and LCLs, mRNA levels of IGF1 were measured using quantitative PCR. (D) IGF1 protein levels were analyzed with ELISA. (E) In HEK-293T, LO2, and LCLs, mRNA levels of IGFBP3 were measured using quantitative PCR. (D) IGFBP3 protein levels were analyzed with ELISA. For quantitative PCR, results were normalized to β-actin as a reference and compared with control cells transfected with an empty vector plasmid (n ≥ 3; mean ± s.e.m. shown; ***P < 0.001 by Student t-test). For Western blotting, results were normalized to β-actin as a reference (n = 3; mean ± s.e.m. shown; *P < 0.05, **P < 0.01, and ***P < 0.001). A full color version of this figure is available at https://doi.org/10.1530/JME-22-0193.

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    Figure 4

    Regulation of IGF1 expression by CTCF. (A, B) The transcriptional activity of IGF1 responds to the CTCFR567W variant by luciferase assay in HEK-293T cell. Co-transfected HEK-293T cells with wildtype or mutant CTCF expression plasmids and IGF1 reporter recombinant plasmids. (A) Luciferase activity was determined at 24, 36, 48, 60, and 72 h after transfection. (B) For comparison, the wildtype values were adjusted to 1’; a histogram represents the relative value of transcriptional activities. Data are means ± s.e.m. of three independent experiments (*P < 0.5; **P < 0.001; ***P < 0.0001; t-test). (C, D) The interaction between the CTCFR567W variant and IGF1 by CHIP-qPCR assay. (C) The diagram of full-length (FL) of IGF1 gene promoter (pmIGF1-FL). (D) CHIP-qPCR assay of the occupation rate of CTCF on the IGF1 primer region. NC, negative control; pm: promoter; TBE:,transcription binding elements; TSS, transcription start sites. Data are means ± s.e.m. of three independent experiments (*P < 0.5; **P < 0.001; ***P < 0.0001; t-test). A full color version of this figure is available at https://doi.org/10.1530/JME-22-0193.

  • Chen F, Yuan H, Wu W, Chen S, Yang Q, Wang J, Zhang Q, Gui B, Fan X, Chen R, et al.2019 Three additional de novo CTCF mutations in Chinese patients help to define an emerging neurodevelopmental disorder. American Journal of Medical Genetics. Part C, Seminars in Medical Genetics 181 218225 (https://doi.org/10.1002/ajmg.c.31698)

    • Search Google Scholar
    • Export Citation
  • Dikalov SI, Li W, Mehranpour P, Wang SS & & Zafari AM 2007 Production of extracellular superoxide by human lymphoblast cell lines: comparison of electron spin resonance techniques and cytochrome C reduction assay. Biochemical Pharmacology 73 972980 (https://doi.org/10.1016/j.bcp.2006.12.012)

    • Search Google Scholar
    • Export Citation
  • Franke M, Ibrahim DM, Andrey G, Schwarzer W, Heinrich V, Schöpflin R, Kraft K, Kempfer R, Jerković I, Chan WL, et al.2016 Formation of new chromatin domains determines pathogenicity of genomic duplications. Nature 538 265269 (https://doi.org/10.1038/nature19800)

    • Search Google Scholar
    • Export Citation
  • Gregor A, Oti M, Kouwenhoven EN, Hoyer J, Sticht H, Ekici AB, Kjaergaard S, Rauch A, Stunnenberg HG, Uebe S, et al.2013 De novo mutations in the genome organizer CTCF cause intellectual disability. American Journal of Human Genetics 93 124131 (https://doi.org/10.1016/j.ajhg.2013.05.007)

    • Search Google Scholar
    • Export Citation
  • Hansen AS, Pustova I, Cattoglio C, Tjian R & & Darzacq X 2017 CTCF and cohesin regulate chromatin loop stability with distinct dynamics. eLife 6 e25776 (https://doi.org/10.7554/eLife.25776)

    • Search Google Scholar
    • Export Citation
  • Jarosch R 2005 The alpha-helix, an overlooked molecular motor. Protoplasma 227 3746 (https://doi.org/10.1007/s00709-005-0136-0)

  • Jerković I, Ibrahim DM, Andrey G, Haas S, Hansen P, Janetzki C, González Navarrete I, Robinson PN, Hecht J & & Mundlos S 2017 Genome-wide binding of posterior HOXA/D transcription factors reveals subgrouping and association with CTCF. PLOS Genetics 13 e1006567 (https://doi.org/10.1371/journal.pgen.1006567)

    • Search Google Scholar
    • Export Citation
  • Konrad EDH, Nardini N, Caliebe A, Nagel I, Young D, Horvath G, Santoro SL, Shuss C, Ziegler A, Bonneau D, et al.2019 CTCF variants in 39 individuals with a variable neurodevelopmental disorder broaden the mutational and clinical spectrum. Genetics in Medicine : Official Journal of the American College of Medical Genetics 21 27232733 (https://doi.org/10.1038/s41436-019-0585-z)

    • Search Google Scholar
    • Export Citation
  • Küry S, Besnard T, Ebstein F, Khan TN, Gambin T, Douglas J, Bacino CA, Craigen WJ, Sanders SJ, Lehmann A, et al.2017 De novo disruption of the proteasome regulatory subunit PSMD12 causes a syndromic neurodevelopmental disorder. American Journal of Human Genetics 100 689 (https://doi.org/10.1016/j.ajhg.2017.03.003)

    • Search Google Scholar
    • Export Citation
  • Lazniewski M, Dawson WK, Rusek AM & & Plewczynski D 2019 One protein to rule them all: the role of CCCTC-binding factor in shaping human genome in health and disease. Seminars in Cell and Developmental Biology 90 114127 (https://doi.org/10.1016/j.semcdb.2018.08.003)

    • Search Google Scholar
    • Export Citation
  • Li H, Ji CY, Zong XN & & Zhang YQ 2009 Height and weight standardized growth charts for Chinese children and adolescents aged 0 to 18 years. Zhonghua Er Ke Za Zhi = Chinese Journal of Pediatrics 47 487492.

    • Search Google Scholar
    • Export Citation
  • Li S, Pan H, Tan C, Sun Y, Song Y, Zhang X, Yang W, Wang X, Li D, Dai Y, et al.2018 Mitochondrial dysfunctions contribute to hypertrophic cardiomyopathy in patient iPSC-derived cardiomyocytes with MT-RNR2 mutation. Stem Cell Reports 10 808821 (https://doi.org/10.1016/j.stemcr.2018.01.013)

    • Search Google Scholar
    • Export Citation
  • Liu F, Wu D & & Wang X 2019 Roles of CTCF in conformation and functions of chromosome. Seminars in Cell and Developmental Biology 90 168173 (https://doi.org/10.1016/j.semcdb.2018.07.021)

    • Search Google Scholar
    • Export Citation
  • Lupiáñez DG, Kraft K, Heinrich V, Krawitz P, Brancati F, Klopocki E, Horn D, Kayserili H, Opitz JM, Laxova R, et al.2015 Disruptions of topological chromatin domains cause pathogenic rewiring of gene-enhancer interactions. Cell 161 10121025 (https://doi.org/10.1016/j.cell.2015.04.004)

    • Search Google Scholar
    • Export Citation
  • Missailidis D, Annesley SJ, Allan CY, Sanislav O, Lidbury BA, Lewis DP & & Fisher PR 2020 An isolated Complex V inefficiency and dysregulated mitochondrial function in immortalized lymphocytes from ME/CFS patients. International Journal of Molecular Sciences 21 1074 (https://doi.org/10.3390/ijms21031074)

    • Search Google Scholar
    • Export Citation
  • Netchine I, Azzi S, Le Bouc Y & & Savage MO 2011 IGF1 molecular anomalies demonstrate its critical role in fetal, postnatal growth and brain development. Best Practice and Research. Clinical Endocrinology and Metabolism 25 181190 (https://doi.org/10.1016/j.beem.2010.08.005)

    • Search Google Scholar
    • Export Citation
  • Pauwels K & & Tompa P 2016 Editorial: function and flexibility: friend or foe? Frontiers in Molecular Biosciences 3 31 (https://doi.org/10.3389/fmolb.2016.00031)

    • Search Google Scholar
    • Export Citation
  • Rodrigues CH, Pires DE & & Ascher DB 2018 DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability. Nucleic Acids Research 46 W350W355 (https://doi.org/10.1093/nar/gky300)

    • Search Google Scholar
    • Export Citation
  • Saldaña-Meyer R, Rodriguez-Hernaez J, Escobar T, Nishana M, Jácome-López K, Nora EP, Bruneau BG, Tsirigos A, Furlan-Magaril M, Skok J, et al.2019 RNA interactions are essential for CTCF-mediated genome organization. Molecular Cell 76 412422.e5 (https://doi.org/10.1016/j.molcel.2019.08.015)

    • Search Google Scholar
    • Export Citation
  • Shcheglovitov A, Shcheglovitova O, Yazawa M, Portmann T, Shu R, Sebastiano V, Krawisz A, Froehlich W, Bernstein JA, Hallmayer JF, et al.2013 SHANK3 and IGF1 restore synaptic deficits in neurons from 22q13 deletion syndrome patients. Nature 503 267271 (https://doi.org/10.1038/nature12618)

    • Search Google Scholar
    • Export Citation
  • Soshnikova N, Montavon T, Leleu M, Galjart N & & Duboule D 2010 Functional analysis of CTCF during mammalian limb development. Developmental Cell 19 819830 (https://doi.org/10.1016/j.devcel.2010.11.009)

    • Search Google Scholar
    • Export Citation
  • Walenkamp MJE, Losekoot M & & Wit JM 2013 Molecular IGF-1 and IGF-1 receptor defects: from genetics to clinical management. Endocrine Development 24 128137 (https://doi.org/10.1159/000342841)

    • Search Google Scholar
    • Export Citation
  • Wang LW, Shen H, Nobre L, Ersing I, Paulo JA, Trudeau S, Wang Z, Smith NA, Ma Y, Reinstadler B, et al.2019 Epstein-Barr-Virus-Induced one-carbon metabolism drives B cell transformation. Cell Metabolism 30 539555.e11 (https://doi.org/10.1016/j.cmet.2019.06.003)

    • Search Google Scholar
    • Export Citation
  • Ying YQ, Hou L, Liang Y, Wu W & & Luo XP 2018 Efficacy and safety of recombinant human growth hormone in treating Chinese children with idiopathic short stature. Growth Hormone and IGF Research: Official Journal of the Growth Hormone Research Society and the International Igf Research Society 42–43 8085 (https://doi.org/10.1016/j.ghir.2018.09.003)

    • Search Google Scholar
    • Export Citation
  • Zhao Q, Zhang M, Chu Y, Sun H, Pan H & & Ban B 2021 A retrospective analysis of patients with short stature in Eastern China between 2013 and 2019. BioMed Research International 2021 6640026 (https://doi.org/10.1155/2021/6640026)

    • Search Google Scholar
    • Export Citation