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Component of oligomeric Golgi complex 1 deficiency leads to hypoglycemia: a case report and literature review



Congenital disorders of glycosylation (CDG) are a group of metabolic diseases with clinical and genetic heterogeneity, and CDG-IIg is one of the rare reported types of CDG. The aim of this study is to report the clinical manifestations and gene-phenotype characteristics of a rare case of CDG caused by a COG1 gene mutation and review literatures of CDG disease.

Case presentation

The patient was male, and the main clinical symptoms were developmental retardation, convulsion, strabismus, and hypoglycemia, which is rarely reported in CDG-IIg. We treated the patient with glucose infusion and he was recovered from hypoglycemia. Genetic analysis showed that the patient carried the heterozygous intron mutation c.1070 + 3A > G (splicing) in the coding region of the COG1 gene that was inherited from the mother, and the heterozygous mutation c.2492G > A (p. Arg831Gln) in exon 10 of the COG1 gene that was inherited from the father. The genes interacting with COG1 were mainly involved in the transport and composition of the Golgi. The clinical data and laboratory results from a patient diagnosed with CDG-IIg were analyzed, and the causative gene mutation was identified by high-throughput sequencing. The genes and signal pathways related to COG1 were analyzed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses.


The c.2492G > A (p. Arg831Gln) mutation in exon 10 of the COG1 gene may be a potential pathogenetic variant for CDG-IIg. Because of the various manifestations of CDG in clinical practice, multidisciplinary collaboration is important for the diagnosis and treatment of this disease.

Peer Review reports


Congenital disorders of glycosylation (CDG) are a group of metabolic diseases with clinical and genetic heterogeneity [1]. All the CDG types are autosomal recessive, and they are characterized by defects in glycoprotein synthesis, particularly defects in N- and O- terminal glycosylation [2, 3]. Since the first report of CDG by Jaeken et al. in 1980 [1], more than 150 types of CDG have been reported so far. CDG often involves multiple systems, including the cardiovascular system, digestive system, skeletal system, hematopoietic system and central nervous system [2, 4], and has various clinical manifestations. It has been reported that CDG-Ia caused by PMM2 gene deficiency is the most common type of CDG [5].

Conserved oligomeric Golgi (COG) complex is a hetero-octamer complex composed of eight subunits (COG1–8). Its function is to regulate transport in the Golgi in eukaryotic cells and the integrity of the Golgi [6]. The eight subunits of COG are divided into two lobes, A (COG2–4) and B (COG5–7), and two subunits, COG1 and COG8, that bridge the two lobes [6,7,8,9]. CDG-IIg is a rare type of CDG that is caused by COG1 deficiency, and its clinical features are multiple system damage, growth retardation, hypotonia, psychomotor retardation, cerebellar atrophy, and recurrent infections. At present, there are only three reported cases of CDG-IIg [6, 10].

In the current report, the clinical features of a rare case of CDG-IIg caused by COG1 gene mutation are described. Additionally, genetic analysis was performed to identify the associated genes and shed light on the potential underlying mechanism.

Case presentation

A 6-month-old Chinese male child was admitted to our department with recurring episodes of hypoglycemia for 6 months. His parents were healthy and not consanguineous, and his family history was not notable. The child was first admitted to the hospital because of repeated cyanosis and poor reaction at the age of 2 days. He was diagnosed with hypoglycemia based on his blood glucose level (which was 0.3 mmol/L) and recovered after receiving glucose and glucocorticoid infusion.

At the age of 22 days, the infant appeared pale and had a poor reaction and reduced muscle strength after fasting for 4 h for Magnetic resonance imaging (MRI) examination. His blood glucose was 2.06 mmol/L and he was recovered from glucose infusion again. Subsequently, the child showed increased muscle tension and movement retardation.

At the age of 4 months, the child experienced repeated vomiting and diarrhea for one day, and hypoglycemia reappeared (blood glucose, 4 mmol/L). In addition, the child had an episode of convulsions that lasted for 2–3 min. After intravenous infusion of glucose, blood glucose returned to normal.

At the age of 6 months, the child was admitted to the hospital for a systematic examination. Physical examination at admission showed that his body weight was 6600 g (3th centile); body length, 76.0 cm (97th centile); head circumference, 41.0 cm (3th centile); chest circumference, 43.0 cm (50th centile). He was conscious and had a good mental reaction, nutrition levels, and skin elasticity. He had strabismus in both eyes, but it was prominent in the left eye. He was unable to use the support of his elbows to get up from a reclining position, and when he stood upright, his head was tilted to one side. He could not turn over or bear his weight. He leaned forward fully in the sitting position and flexed his legs in the standing position. He was not actively conscious of grasping objects. He could keep holding objects, but he could not change objects with his hands. He could pronounce vowels, but he was insensitive to locate the sources of sound or light. He had normal muscular strength in both upper limbs, but greater muscular strength in both lower limbs, mainly in the adductor muscles. The testes were not completely lowered into the scrotum, and the result of the transillumination test was negative.

The results of laboratory tests, including blood routine (platelet count, 435 × 10 9/L; hemoglobin, 107 g/L), thyroid function, biochemical tests, stool and urine routine, and blood lactic acid, were normal. In order to rule out other possible causes of hypoglycemia, we had conducted a fasting test. The test, sustained for 4 h, was considered completed when the blood glucose level of patient indicated the hypoglycemia. The results showed that both insulin and cortisol were within the normal range, which could exclude cortisol deficiency and hyperinsulinemia. (Table 1) Computed tomography (CT) of the brain indicated that the brain parenchyma was scattered with low-density shadows, and the bilateral ventricles appeared plump.

Table 1 The biochemical measurements of fasting study

MRI of the brain indicated extensive abnormal signals in both cerebral hemispheres. This was considered to be indicative of atrophic cystic changes caused by encephalomalacia. Electroencephalogram (EEG) showed that multiple spikes/sharp-slow waves were synchronously or asynchronously discharged in the left and right occipital regions during both waking and sleep. A 2–3 Hz increase in δ activity was found in the occipital region, and the dominant rhythm of the occipital region was not significant in the waking state. Echocardiography was indicative of patent ductus arteriosus. The Gesell Developmental Schedules showed that the gross motor skills of the patient at 4 weeks and 3 months were equivalent to those of neonates at 0 months, and the fine motor skills were equivalent to those of neonates at 0–1 month. The Gesell Intelligence Scale showed that the ability to respond to people and the environment was equivalent to that of infants at 6 weeks (Developmental Quotient [DQ] = 35 points), while the ability to respond to physical objects was equivalent to that of infants at 3 weeks (DQ = 18 points). In addition, the patient’s gross motor skills were equivalent to that of infants at 0 weeks (DQ = 0 points); his fine motor skills were equivalent to that of infants at 2 weeks (DQ = 12 points), and the ability to communicate was equivalent to that of infants at 6 weeks (DQ = 35 points).

The study was carried out in accordance with the Declaration of Helsinki of the World.

Medical Association and was approved by the Committee of Medical Ethics of The Second Affiliated Hospital of Chongqing Medical University. Informed consent was obtained from parents. A high-throughput sequencing and genetic analysis, and Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses had been used.

After obtaining the parents’ consent and signatures on the informed consent form, blood samples were taken for a whole exon sequencing analysis. The results revealed the heterozygous intron mutation c.1070 + 3A > G (splicing) in the coding region of the COG1 gene that was inherited from the mother, and the heterozygous mutation c.2492 g > A (p. Arg831Gln) in exon 10 of the COG1 gene that was inherited from the father.

The coding region of c.1070 + 3A > G in the COG1 gene could not be predicted by the Sorting Intolerant From Tolerant (SIFT), Polymorphism Phenotyping v2 (PolyPhen_2), Rare Exome Variant Ensemble Learner (REVEL), and Mutation Taster software [6, 10]. For the coding region of the COG1 gene, c.2492G > A (p.Arg831Gln), the results from the protein function prediction software SIFT, PolyPhen_2, REVEL revealed that it was destructive, unknown, or benign, and has not been reported in Human Gene Mutation Database (HGMD). The prediction software Mutation Taster indicated that it was a pathogenic mutation [11]. The results of other prediction software are shown in Table 2 [12,13,14,15,16,17]. The secondary and tertiary structures of COG1-encoded proteins were predicted by the Phyre2 software (Fig. 1) [18]. Based on the identified heterozygous mutation in exon 10 of the COG1 gene and the patient’s clinical manifestations, we speculated that CDG-IIg in the patient may be caused by the compound heterozygous mutation.

Table 2 The predictions for COG1 mutations using various software
Fig. 1
figure 1

Amino acid sequence and tertiary structure of the protein encoded by the COG1 gene. a Prediction of the tertiary structure of COG gene coding protein. b Secondary structure of COG gene encoding protein. SS, the reliability of the secondary structure. The arginine indicated by the arrow is the mutation position

To explore the relationship between COG1 and related genes signal pathways, we used the Search Tool for the Retrieval of Interacting Genes database (STRING, 11.0 version) [19]. We constructed the protein and protein interaction (PPI) network of COG1 by using the search tool of the STRING database. An interaction score of 0.9 and a maximum interaction number of 50 were considered as the cut-off criteria (An additional figure file shows this in more detail (see Additional file 1)). The number of genes interact with will be more if the degree of a gene is larger. In the current study, we rank the genes from high to low. High-degree genes in the top fourteen and INS gene were identified as the core genes. We used core genes to perform enrichment analysis and constructed PPI network again. The PPI network is shown in Fig. 2a.

Fig. 2
figure 2

Results of KEGG, GO, and Reactome enrichment. a Protein-protein interaction (PPI) network. b GO analysis. c KEGG analysis. d Reactome enriched pathways. b-c The X-axis represents the ratio of involved genes, and the Y-axis represents the GO and KEGG terms. Each bubble represents a term. The size of the bubble indicates the number of involved genes. More red color indicates the smaller p values. The longer bar indicates the more reliable pathways. d The X-axis represents the false discovery rate and the Y-axis represents the pathway terms. The longer the bar the more reliable the pathways

GO and KEGG enrichment analyses were performed using the Cluster profiler package [20]. The biological processes (BP), molecular functions (MF), and cellular components (CC) associated with these genes were identified, and p values <0.05 were considered to indicate statistical significance. In addition, we used the STRING database to perform Reactome pathway enrichment analysis [21]. A false discovery rate (FDR) of <0.05 was considered to indicate statistical significance. The results of the GO analysis are shown in Fig. 2c. With regard to BP, the COG1-related proteins were involved in Golgi vesicle transport, intracellular transport, protein transport, ER-to-Golgi-vesicle-mediated transport, and intra-Golgi vesicle-mediated transport. With regard to CC, the interacting proteins were predominantly enriched in the Golgi membrane, Golgi subcompartment, Golgi apparatus part, trans−Golgi network membrane and Golgi transport complex. With regard to MF, the interacting proteins were involved in soluble N-ethylmaleimide-sensitive fusion attachment proteins (SNAP) receptor activity, soluble NSF protein attachment protein receptor (SNARE) binding and syntaxin binding. The results of KEGG analysis showed that COG1 was mainly enriched in SNARE interactions in vesicular transport (Fig. 2d). To further identify the signal pathways related to COG1, we used the Reactome pathway database for screening, with FDR < 0.05 as the search condition. The top six identified items are shown in Fig. 2b. The identified proteins were involved in intra-Golgi traffic, COPI-mediated anterograde transport, Membrane Trafficking, Retrograde transport at the Trans-Golgi-Network, COPII-mediated vesicle transport, and Cargo concentration in the ER.

Discussion and Conclusions

In this report, we describe a rare case of CDG-IIg that was associated with a compound heterozygous autosomal recessive COG1 mutation. To the best of our knowledge, there are no other reports of CDG-IIg cases in China. Three cases have been reported in other countries, and two were caused by an intron mutation in the COG1 gene.

The patient in the present report had recurrent cyanosis, poor reaction, and hypoglycemia on the second day after birth. During hospitalization, the blood glucose was too low to be detected, and the patient was diagnosed with hypoglycemia. After discharge from the hospital, the patient had several episodes of hypoglycemia and gradually began to exhibit clinical manifestations of CDG-IIg, such as lower limb muscle strength enhancement and retardation, and epilepsy. Gene analysis confirmed that the patient had a compound heterozygous mutation in the COG1 gene. Therefore, the diagnosis of CDG-IIg was confirmed. Further spectrum analysis showed that the CDG-IIg had an autosomal recessive inheritance pattern.

In eukaryotic cells, proteins have biological roles after glycosylation. Glycoproteins are composed of glucose chains and polypeptides, which can be divided into O-glycosidic bonds (that bind the serine or threonine residues of proteins) or N-glycosidic bonds (that bind the asparagine residues of proteins). At present, most types of CDG are caused by protein N-glycosylation disorder, while a few are caused by protein O-glycosylation disorder [22]. Glycosylation of N-glycosidic bonds has an important impact on the post-translational modification and function of many biological enzymes [23]. Therefore, the clinical manifestations of CDG are various. It may involve multiple organs and systems or only a single organ, and may even present with no obvious clinical manifestations. That is, the severity of CDG varies. At present, there are about 150 types of CDG, most of which exhibit neuromuscular involvement, including global developmental delay, speech delay and so on [24] CDG-I is mainly caused by a deficiency in polysaccharide synthesis or transfer in the cytoplasm and endoplasmic reticulum (ER). CDG-II is mainly caused by processing and maturation defects of the ER and Golgi polysaccharides [6]. (Fig. 3, drawn by Cytoscape [25]).

Fig. 3
figure 3

Different genotypes of CDG. The red node indicates the CDG type of patient

In CDG-IIg disease, Oka et al. [26] found that the steady-state level of the GEARs (a set of COG-sensitive, integral membrane Golgi proteins, including mannosidase II, GOS-28, GS15, GPP130, CASP, giantin, and golgin-84) subset is dependent on the root complex. The loss of any subunit in the COG complex may change the level of GEARs and their distribution in the Golgi complex, and this results in the biological synthesis of polysaccharides [7]. The COG1 gene, located on chromosome 17 (17q25.1), contains 14 exons and encodes 980 amino acids. In patients with COG1 deficiency, the levels of α-mannosidase II and β-1,4-galactosyltransferase I are significantly decreased in the Golgi matrix [6]. Any defect of the COG1 subunit will affect the function of the COG complex, thus destroying the balance of GEAR transportation and dislocation in the glycosylation process [27]. This pathological change maybe the root pathogeny for COG1. However, the connection between this pathological change and symptoms is still unclear.

In the present report, the results of bioinformatics analysis indicated that the proteins interacting with COG1 were mainly enriched in various transport pathways of the Golgi; this is consistent with the findings of previous reports. We suspect the impact of COG1 mutation was displayed on the disorder of Golgi transport function. Meanwhile, we also speculate that COG1 gene mutations may directly or indirectly affect cell biological processes through other genes, and this may result in the occurrence of hereditary disease. In the PPI network, we observed a relationship between COG1 and insulin. Therefore, we speculated that the observed hypoglycemia may be related to the promotion of insulin secretion by the COG1 mutation. A search of the literature showed that there were early reports of hypoglycemia in patients with congenital glycation disorders. It was described as hyperinsulinemic hypoglycemia and was the main symptom of CDG 1b patients [28]. In addition, hypoglycemia has also been reported in patients with CDG 1a and CDG 1d [29, 30]. Because of two obvious symptoms including hyperinsulinemic and hypoglycemia, reasonable conjecture, defective glycosylation of sulphonylurea receptor, was put forward due to the confirmation of sulphonylurea receptor to be a glycoprotein [29]. However, the exact mechanism of hypoglycemia in CDG patients is still unclear. In addition, patients with PGM1-CDG (PGM1, phosphoglucomutase-1) have also been reported to have hypoglycemia [31]. PGM1 is a key enzyme in glycolysis and glycogen production. Hypoglycemia in patients with PGM1 deficiency may be related to insufficient glycogen release or abnormal glycosylation of proteins [32]. However, the patient in the present case was diagnosed with CDG-IIg and had normal serum insulin levels. Therefore, there may be other mechanisms involved in the occurrence of hypoglycemia in this case except for the connection with INS. Further studies involving basic research are still needed to verify our conjecture.

In two of the previously reported cases of CDG-IIg, the first patient’s brain MRI showed mega-cisterna Magna and a hypoplastic vermis. The clinical manifestations included microcephaly, bilateral macular lesions, a short neck, and widely spaced nipples. The second patient showed atrophy of the temporal cortex and floculonodular lobe of the cerebellum, together with dilatation of the lateral ventricle and fourth ventricle and cisterna magna. The clinical manifestations were shortening of the long bones, dysmorphic facial features, ulnar deviation of the fingers, thoracic scoliosis, hypospadias-I, and left-side cryptorchidism. In another reported case, the patient showed mild left ventricular hypertrophy with abnormality of diastolic function of the left ventricle. The clinical manifestations were generalized hypotonia and growth retardation. In the present case, the patient mainly showed growth retardation, convulsion, and hypoglycemia, which is a new symptom of CDG-IIg. Because CDG is extremely rare, its diagnosis depends on clinicians’ awareness and vigilance. When the above clinical manifestations, especially those involving the nervous system, cannot be explained by other diseases, the possibility of CDG should be considered [24].

At present, serum transferrin isoelectric focusing (IEF) is still a common method for the diagnosis of CDG, but the IEF results of some CDG patients can be normal. Gene technology (whole exon and genome sequencing), enzyme analysis, and glycomics are emerging as reliable methods in the diagnosis of CDG [33, 34]. In the present case, CDG was diagnosed based on high-throughput sequencing and genetic analysis. With regard to treatment, no specific treatment for CDG-IIg has been reported so far, and symptomatic treatment is widely used in the clinic. In the present patient, intravenous infusion of glucose solution was used to correct hypoglycemia. What’s more, body rehabilitation was also applied for the improvement of growth retardation due to the hereditary nature of this disease. Similarly, the treatment of specific symptoms has been reported for other types of CDG. PGM1-CDG patients can be treated with oral galactose or nutritional therapy, which is known to be effective [35]. Additionally, stem cell transplantation can correct neutropenia and lymphopenia in patients with PGM3-CDG (PGM3, phosphoglucomutase 3) [36], and patients with phosphomannose isomerase deficiency (MPI-CDG) can be treated by mannose and liver transplantation [37]. However, CDG is a chronic genetic disease that often involves multiple organs and systems. Therefore, patients with CDG need to be managed and treated systematically. In addition, recombinant enzymes, drug chaperones, active sugar compounds, and gene therapy might have potential as effective therapeutic methods in the future [1, 38]. Importantly, genetic screening is performed in the families of patients to ensure early and rapid diagnosis and, thus, improve prognosis. Furthermore, multidisciplinary collaboration is important for the diagnosis and treatment of this disease.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.



Congenital disorder of glycosylation

COG1 (gene):

Component of oligomeric golgi complex 1

COG (protein):

Conserved oligomeric golgi


Soluble NSF attachment protein receptor


N-ethylmaleimide-sensitive fusion protein




Magnetic resonance imaging


Computed tomography




Developmental quotient


sorting intolerant from tolerant


Polymorphism phenotyping v2


Rare exome variant ensemble learner


Human gene mutation database


Search tool for the retrieval of interacting genes database


Protein and protein interaction


Gene ontology


Kyoto encyclopedia of genes and genomes


Biological processes


Molecular functions


Cellular components


False discovery rate


Endoplasmic reticulum


Soluble NSF attachment proteins


A set of COG-sensitive, integral membrane Golgi proteins




Isoelectric focusing


  1. Verheijen J, Tahata S, Kozicz T, Witters P, Morava E. Therapeutic approaches in Congenital Disorders of Glycosylation (CDG) involving N-linked glycosylation: an update. Genet Med. 2020;22:268–79.

    Article  Google Scholar 

  2. Footitt EJ, Karimova A, Burch M, Yayeh T, Dupré T, Vuillaumier-Barrot S, et al. Cardiomyopathy in the congenital disorders of glycosylation (CDG): a case of late presentation and literature review. J Inherit Metab Dis. 2009;32:313–9.

    Article  Google Scholar 

  3. Freeze HH. Update and perspectives on congenital disorders of glycosylation. Glycobiology. 2001;11:129R–43R.

    CAS  Article  Google Scholar 

  4. Coman D, Irving M, Kannu P, Jaeken J, Savarirayan R. The skeletal manifestations of the congenital disorders of glycosylation. Clin Genet. 2008;73:507–15.

    CAS  Article  Google Scholar 

  5. Lao JP, DiPrimio N, Prangley M, Sam FS, Mast JD, Perlstein EO. Yeast Models Of Phosphomannomutase 2 Deficiency, A Congenital Disorder Of Glycosylation. G3. 2019;9:413–23.

    CAS  Article  Google Scholar 

  6. Foulquier F, Vasile E, Schollen E, Callewaert N, Raemaekers T, Quelhas D, et al. Conserved oligomeric Golgi complex subunit 1 deficiency reveals a previously uncharacterized congenital disorder of glycosylation type II. Proc Natl Acad Sci U S A. 2006;103:3764–9.

    CAS  Article  Google Scholar 

  7. Jaeken J. Congenital disorders of glycosylation. Ann N Y Acad Sci. 2010;1214:190–8.

    CAS  Article  Google Scholar 

  8. Oka T, Vasile E, Penman M, Novina CD, Dykxhoorn DM, Ungar D, et al. Genetic Analysis of the Subunit Organization and Function of the Conserved Oligomeric Golgi (COG) Complex. J Biol Chem. 2005;280:32736–45.

    CAS  Article  Google Scholar 

  9. Ungar D, Oka T, Vasile E, Krieger M, Hughson FM. Subunit architecture of the conserved oligomeric Golgi complex. J Biol Chem. 2005;280:32729–35.

    CAS  Article  Google Scholar 

  10. Zeevaert R, Foulquier F, Dimitrov B, Reynders E, Van Damme-Lombaerts R, Simeonov E, et al. Cerebrocostomandibular-like syndrome and a mutation in the conserved oligomeric Golgi complex, subunit 1. Hum Mol Genet. 2008;18:517–24.

    Article  Google Scholar 

  11. Lubeck E, Coskun AF, Zhiyentayev T, Ahmad M, Cai L. Single-cell in situ RNA profiling by sequential hybridization. Nat Methods. 2014;11:360–1.

    CAS  Article  Google Scholar 

  12. Kopanos C, Tsiolkas V, Kouris A, Chapple CE, Albarca AM, Meyer R, et al. VarSome: the human genomic variant search engine. Bioinformatics. 2019;35:1978–80.

    CAS  Article  Google Scholar 

  13. Quang D, Chen Y, Xie X. DANN: a deep learning approach for annotating the pathogenicity of genetic variants. Bioinformatics. 2015;31:761–3.

    CAS  Article  Google Scholar 

  14. Jian X, Boerwinkle E, Liu X. In silico prediction of splice-altering single nucleotide variants in the human genome. Nucleic Acids Res. 2014;42:13534–44.

    CAS  Article  Google Scholar 

  15. Dong C, Wei P, Jian X, Gibbs R, Boerwinkle E, Wang K, et al. Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies. Hum Mol Genet. 2015;24:2125–37.

    CAS  Article  Google Scholar 

  16. Liu X, Wu C, Li C, Boerwinkle E. dbNSFP v3.0: A One-Stop Database of Functional Predictions and Annotations for Human Nonsynonymous and Splice-Site SNVs. Hum Mutat. 2016;37:235–41.

    Article  Google Scholar 

  17. Liu X, Jian X, Boerwinkle E. dbNSFP: A lightweight database of human nonsynonymous SNPs and their functional predictions. Hum Mutat. 2011;32:894–9.

    CAS  Article  Google Scholar 

  18. Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg MJE. The Phyre2 web portal for protein modeling, prediction and analysis. Nat Protoc. 2015;10:845–58.

    CAS  Article  Google Scholar 

  19. Szklarczyk D, Morris JH, Cook H, Kuhn M, Wyder S, Simonovic M, et al. The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible. Nucleic Acids Res. 2017;45:D362–8.

    CAS  Article  Google Scholar 

  20. Yu G, Wang L, Han Y, He Q. clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters. OMICS A J Integr Biol. 2012;16:284–7.

    CAS  Article  Google Scholar 

  21. Jassal B, Matthews L, Viteri G, Gong C, Lorente P, Fabregat A, et al. The reactome pathway knowledgebase. Nucleic Acids Res. 2020;48:D498–503.

    CAS  PubMed  Google Scholar 

  22. Höck M, Wegleiter K, Ralser E, Kiechl-Kohlendorfer U, Scholl-Bürgi S, Fauth C, et al. ALG8-CDG: novel patients and review of the literature. Orphanet J Rare Dis. 2015;10:73.

    Article  Google Scholar 

  23. Shental-Bechor D, Levy Y. Folding of glycoproteins: toward understanding the biophysics of the glycosylation code. Curr Opin Struct Biol. 2009;19:524–33.

    CAS  Article  Google Scholar 

  24. Barone R, Fiumara A, Jaeken J. Congenital Disorders of Glycosylation with Emphasis on Cerebellar Involvement. Semin Neurol. 2014;34:357–66.

    Article  Google Scholar 

  25. Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13:2498–504.

    CAS  Article  Google Scholar 

  26. Oka T, Ungar D, Hughson FM, Krieger M. The COG and COPI complexes interact to control the abundance of GEARs, a subset of Golgi integral membrane proteins. Mol Biol Cell. 2004;15:2423–35.

    CAS  Article  Google Scholar 

  27. Zeevaert R, Foulquier F, Jaeken J, Matthijs G. Deficiencies in subunits of the Conserved Oligomeric Golgi (COG) complex define a novel group of Congenital Disorders of Glycosylation. Mol Genet Metab. 2008;93:15–21.

    CAS  Article  Google Scholar 

  28. Babovic-Vuksanovic D, Patterson MC, Schwenk WF, O'Brien JF, Vockley J, Freeze HH, et al. Severe hypoglycemia as a presenting symptom of carbohydrate-deficient glycoprotein syndrome. J Pediatr. 1999;135:775–81.

    CAS  Article  Google Scholar 

  29. Bohles H, Sewell AA, Gebhardt B, Reinecke-Luthge A, Kloppel G, Marquardt T. Hyperinsulinaemic hypoglycaemia--leading symptom in a patient with congenital disorder of glycosylation Ia (phosphomannomutase deficiency). J Inherit Metab Dis. 2001;24:858–62.

    CAS  Article  Google Scholar 

  30. Sun L, Eklund EA, Chung WK, Wang C, Cohen J, Freeze HH. Congenital Disorder of Glycosylation Id Presenting with Hyperinsulinemic Hypoglycemia and Islet Cell Hyperplasia. J Clin Endocrinol Metab. 2005;90:4371–5.

    CAS  Article  Google Scholar 

  31. Tegtmeyer LC, Rust S, van Scherpenzeel M, Ng BG, Losfeld ME, Timal S, et al. Multiple phenotypes in phosphoglucomutase 1 deficiency. N Engl J Med. 2014;370:533–42.

    CAS  Article  Google Scholar 

  32. Morava E. Galactose supplementation in phosphoglucomutase-1 deficiency; review and outlook for a novel treatable CDG. Mol Genet Metab. 2014;112:275–9.

    CAS  Article  Google Scholar 

  33. Jaeken J, Péanne R. What is new in CDG? J Inherit Metab Dis. 2017;40:569–86.

    CAS  Article  Google Scholar 

  34. Fang J, Peters V, Körner C, Hoffmann GF. Improvement of CDG diagnosis by combined examination of several glycoproteins. J Inherit Metab Dis. 2004 2004-01-01;27:581–90.

    CAS  Article  Google Scholar 

  35. Radenkovic S, Bird MJ, Emmerzaal TL, Wong SY, Felgueira C, Stiers KM, et al. The Metabolic Map into the Pathomechanism and Treatment of PGM1-CDG. Am J Hum Genet. 2019;104:835–46.

    CAS  Article  Google Scholar 

  36. Stray-Pedersen A, Backe PH, Sorte HS, Mørkrid L, Chokshi NY, Erichsen HC, et al. PGM3 Mutations Cause a Congenital Disorder of Glycosylation with Severe Immunodeficiency and Skeletal Dysplasia. Am J Hum Genet. 2014;95:96–107.

    CAS  Article  Google Scholar 

  37. Janssen MC, de Kleine RH, van den Berg AP, Heijdra Y, van Scherpenzeel M, Lefeber DJ, et al. Successful liver transplantation and long-term follow-up in a patient with MPI-CDG. Pediatrics. 2014;134:e279–83.

    Article  Google Scholar 

  38. Ramírez AS, Boilevin J, Lin C, Ha Gan B, Janser D, Aebi M, et al. Chemo-enzymatic synthesis of lipid-linked GlcNAc2Man5 oligosaccharides using recombinant Alg1, Alg2 and Alg11 proteins. Glycobiology. 2017;27:726–33.

    Article  Google Scholar 

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Authors and Affiliations



Y.H. and Han Dai collected and analyzed experimental data. S.X. and L.Z. contributed to the writing of the manuscript and helpful discussion. G.Y. and M.Z. are the persons who take full responsibility for the work as a whole, including (if applicable) the study design, access to data, and the decision to submit and publish the manuscript. All authors have read and approved the final manuscript, and ensure that this is the case. All authors declare that all the contributors currently listed do meet the ICMJE guidelines for authorship.

Corresponding author

Correspondence to Min Zhu.

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Ethics approval and consent to participate

We have obtained the parents’ consent and signatures on the informed consent form. The study was carried out in accordance with the Declaration of Helsinki of the World and was approved by the Committee of Medical Ethics of The Second Affiliated Hospital of Chongqing Medical University.

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The consent for publication from the patient’s parents had been acquired. The informed consent form with parents’ signatures was obtained from the patients’ parents.

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The authors declare that they have no competing interests.

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Supplementary Information

Additional file 1: Supplementary Figure 1.

Description of data: Protein-protein interaction (PPI) network, which can be obtained from STRING database through keyword COG1. An interaction score of 0.9 and max number of interactors of 50 were considered a cut-off criterion. The INS gene is pointed by a black arrow.

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Huang, Y., Dai, H., Yang, G. et al. Component of oligomeric Golgi complex 1 deficiency leads to hypoglycemia: a case report and literature review. BMC Pediatr 21, 442 (2021).

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  • CDG-IIg
  • COG1 gene
  • case report
  • mutation
  • glycosylation