OBJECTIVE: Crotonylation, a crotonyl-CoA-based non-enzymatic protein translational modification, affects diverse biological processes, such as spermatogenesis, tissue injury, inflammation, and neuropsychiatric diseases. Crotonylation is decreased in hepatocellular carcinomas (HCCs), but the mechanism remains unknown. In this study, we aim to describe the role of glutaryl-CoA dehydrogenase (GCDH) in tumor suppression.
METHODS: Three cohorts containing 40, 248 and 17 pairs of samples were used to evaluate the link between GCDH expression levels and clinical characteristics of HCC, as well as responses to anti-programmed cell death protein 1 (PD-1) treatment. Subcutaneous xenograft, orthotopic xenograft, Trp53Δhep/Δhep; MYC- and Ctnnboe;METoe-driven mouse models were adopted to validate the effects of GCDH on HCC suppression.
RESULTS: GCDH depletion promoted HCC growth and metastasis, whereas its overexpression reversed these processes. As GCDH converts glutaryl-CoA to crotonyl-CoA to increase crotonylation levels, we performed lysine crotonylome analysis and identified the pentose phosphate pathway (PPP) and glycolysis-related proteins PGD, TKT, and ALDOC as GCDH-induced crotonylation targets. Crotonyl-bound targets showed allosteric effects that controlled their enzymatic activities, leading to decreases in ribose 5-phosphate and lactate production, further limiting the Warburg effect. PPP blockade also stimulated peroxidation, synergizing with senescent modulators to induce senescence in GCDHhigh cells. These cells induced the infiltration of immune cells by the SASP (senescence-associated secretory cell phenotype) to shape an anti-tumor immune microenvironment. Meanwhile, the GCDHlow population was sensitized to anti-PD-1 therapy.
CONCLUSIONS: GCDH inhibits HCC progression via crotonylation-induced suppression of the PPP and glycolysis, resulting in HCC cell senescence. The senescent cell further shapes an anti-tumor microenvironment via the SASP. The GCDHlow population is responsive to anti-PD-1 therapy because of the increased presence of PD-1+CD8+ T cells.
UNASSIGNED: Glutaryl-CoA dehydrogenase (GCDH) is a favorable prognostic indicator in liver, lung, and renal cancers. In addition, most GCDH depletion-induced toxic metabolites originate from the liver, accumulate locally, and cannot cross the blood-brain barrier. Herein, we show that GCDH inhibits hepatocellular carcinoma (HCC) progression via crotonylation-induced suppression of the pentose phosphate pathway and glycolysis, resulting in HCC cell senescence. We also found that more PD-1+CD8+ T cells are present in the GCDHlow population, who are thus more responsive to anti-PD-1 therapy. Given that the GCDHlow and GCDHhigh HCC population can be distinguished based on serum glucose and ammonia levels, it will be worthwhile to evaluate the curative effects of pro-senescent and immune-therapeutic strategies based on the expression levels of GCDH.

Glutaric acidemia type 1 (GA1) is a rare autosomal recessive inherited metabolic disorder caused by variants in the gene encoding the enzyme glutaryl-CoA dehydrogenase (GCDH). The estimated prevalence of GA1 and the mutational spectrum of the GCDH gene vary widely according to race and region. The aim of this study was to assess the acylcarnitine profiles and genetic characteristics of patients with GA1 in Fujian Province, southeastern China.
From January 2014 to December 2022, a total of 1,151,069 newborns (631,016 males and 520,053 females) were screened using MS/MS in six newborn screening (NBS) centers in Fujian Province and recruited for this study. Through NBS, 18 newborns (13 females and 5 males) were diagnosed with GA1. Thus, the estimated incidence of GA1 was 1 in 63,948 newborns in Fujian province. In addition, 17 patients with GA1 were recruited after clinical diagnosis. All but one patient with GA1 had a remarkable increase in glutarylcarnitine (C5DC) concentrations. The results of urinary organic acid analyses in 33 patients showed that the concentration of glutaric acid (GA) increased in all patients. The levels of C5DC and GA in patients identified via NBS were higher than those in patients identified via clinical diagnosis (P < 0.05). A total of 71 variants of 70 alleles were detected in patients with GA1, with 19 different pathogenic variants identified. The three most prevalent variants represented 73.23% of the total and were c.1244-2 A > C, p.(?) (63.38%), c.1261G > A, p.Ala421Thr (5.63%), and c.406G > T, p.Gly136Cys (4.22%). The most abundant genotype observed was c.[1244-2 A > C]; [1244-2 A > C] (18/35, 52.43%) and its phenotype corresponded to high excretors (HE, GA > 100 mmol/mol Cr).
In conclusion, we investigated the biochemical and molecular features of 35 unrelated patients with GA1. C5DC concentrations in dried blood spots and urinary GA are effective indicators for a GA1 diagnosis. Our study also identified a GCDH variant spectrum in patients with GA1 from Fujian Province, southeastern China. Correlation analysis between genotypes and phenotypes provides preliminary and valuable information for genetic counseling and management.

Autosomal recessive glutaric acidaemia type I (GA-I) is a rare hereditary metabolic disease characterized by increased organic acids and neurologic symptoms. Although numerous variants in the GCDH gene have been identified to be connected with the pathogenesis of GA-I, the relationship between genotype and phenotype remains uncertain. In this study, we evaluated genetic data for two GA-I patients from Hubei, China, and we reviewed the previous research findings to clarify the genetic heterogeneity of GA-I and identify the potential causative variants. After we extracted genomic DNA from peripheral blood samples obtained from two unrelated Chinese families, we used target capture high-throughput sequencing combined with Sanger sequencing to determine likely pathogenic variants in the two probands. Electronic databases were also searched for the literature review. The genetic analysis revealed two compound heterozygous variants in the GCDH gene expected to lead to GA-I in the two probands (P1 and P2), with P1 carrying two known variants (c.892G > A/p. A298T and c.1244-2A > C/IVS10-2A > C) and P2 harbouring two novel variants (c.370G > T/p.G124W and c.473A > G/p.E158G). In the literature review, the most common alleles in low excretors (i.e., individuals with low excretion of GA) were R227P, V400M, M405V, and A298T, with variation in the severity of clinical phenotypes. Overall, we identified two novel GCDH gene candidate pathogenic variants in a Chinese patient, enriching the GCDH gene mutational spectrum and providing a solid foundation for the early diagnosis of GA-I patients with low excretion.

As a key issue in orchestrating various biological processes and functions, protein post-translational modification (PTM) occurs widely in the mechanism of protein\'s function of animals and plants. Glutarylation is a type of protein-translational modification that occurs at active ε-amino groups of specific lysine residues in proteins, which is associated with various human diseases, including diabetes, cancer, and glutaric aciduria type I. Therefore, the issue of prediction for glutarylation sites is particularly important. This study developed a brand-new deep learning-based prediction model for glutarylation sites named DeepDN_iGlu via adopting attention residual learning method and DenseNet. The focal loss function is utilized in this study in place of the traditional cross-entropy loss function to address the issue of a substantial imbalance in the number of positive and negative samples. It can be noted that DeepDN_iGlu based on the deep learning model offers a greater potential for the glutarylation site prediction after employing the straightforward one hot encoding method, with Sensitivity (Sn), Specificity (Sp), Accuracy (ACC), Mathews Correlation Coefficient (MCC), and Area Under Curve (AUC) of 89.29%, 61.97%, 65.15%, 0.33 and 0.80 accordingly on the independent test set. To the best of the authors\' knowledge, this is the first time that DenseNet has been used for the prediction of glutarylation sites. DeepDN_iGlu has been deployed as a web server (https://bioinfo.wugenqiang.top/~smw/DeepDN_iGlu/) that is available to make glutarylation site prediction data more accessible.

BACKGROUND: Glutaric acidemia type 1 (GA1) is a treatable neurometabolic disorder caused by biallelic variants in the glutaryl-CoA dehydrogenase (GCDH) gene. There are few large-scale reports describing newborn screening (NBS) for GA1 in China. We report the NBS results, genotypes, and clinical features of patients diagnosed through NBS.
METHODS: From January 2009 to August 2021, 4,202,587 newborns were screened by tandem mass spectrometry. Newborns with increased glutarylcarnitine (C5DC) concentrations were recalled for repeated test, and confirmatory examinations were performed if the second test was still positive. The pathogenicity of novel variants was predicted using computational programs.
RESULTS: A total of 693 had increased C5DC concentrations, and 19 patients were diagnosed with GA1. Thus, the estimated incidence of GA1 in Zhejiang Province was 1 in 221,053 newborns. All the 19 patients had markedly increased C5DC concentrations and C5DC/octanoylcarnitine (C8) ratios; one had a slightly low free carnitine concentration. Seventeen (17/18, 94.4%) patients had increased GA concentrations, 15 were of high excretor phenotype and 3 were of low excretor phenotype. Twenty-three distinct GCDH variants were detected, of which 2were novel. Novel variants were predicted to be potentially pathogenic by computational programs. c.1244-2A > C was the most common variant, with an allelic frequency of 14.7%, followed by c.914C > T (p.S305L) (8.8%). The most common clinical symptom was movement disorder, followed by seizure, macrocephaly, and failure to thrive. Sylvian fissures widening was the most common MRI finding.
CONCLUSIONS: Nineteen GA1 patients were diagnosed through the large-scale NBS in Zhejiang Province, with an estimated incidence of 1 in 221,053 newborns. The GCDH mutational spectrum is heterogenous, with the c.1244-2A > C variant being the most frequent variant in this population. NBS for GA1 should be promoted to achieve timely diagnosis and treatment.

OBJECTIVE: To explore the genetic basis for a neonate affected with Glutaric aciduria type I (GA-I).
METHODS: Targeted capture and high-throughput sequencing was carried out for the proband and her parents. Candidate variants were verified by Sanger sequencing.
RESULTS: The proband was found to harbor compound heterozygous variants of the GCDH gene, namely c.523G>A and c.1190T>C, which was derived from her father and mother, respectively.
CONCLUSIONS: The compound heterozygous variants of the GCDH gene probably underlay the GA-I in the patient.

Glutaric acidemia type 1 (GA1) is a treatable disorder affecting cerebral organic acid metabolism caused by a defective glutaryl-CoA dehydrogenase (GCDH) gene. GA1 diagnosis reports following newborn screening (NBS) are scarce in the Chinese population. This study aimed to assess the acylcarnitine profiles and genetic characteristics of patients with GA1 identified through NBS.
From January 2014 to September 2020, 517,484 newborns were screened by tandem mass spectrometry, 102 newborns with elevated glutarylcarnitine (C5DC) levels were called back. Thirteen patients were diagnosed with GA1, including 11 neonatal GA1 and two maternal GA1 patients. The incidence of GA1 in the Quanzhou region was estimated at 1 in 47,044 newborns. The initial NBS results showed that all but one of the patients had moderate to markedly increased C5DC levels. Notably, one neonatal patient with low free carnitine (C0) level suggest primary carnitine deficiency (PCD) but was ultimately diagnosed as GA1. Nine neonatal GA1 patients underwent urinary organic acid analyses: eight had elevated GA and 3HGA levels, and one was reported to be within the normal range. Ten distinct GCDH variants were identified. Eight were previously reported, and two were newly identified. In silico prediction tools and protein modeling analyses suggested that the newly identified variants were potentially pathogenic. The most common variant was c.1244-2 A>C, which had an allelic frequency of 54.55% (12/22), followed by c.1261G>A (p.Ala421Thr) at 9.09% (2/22).
Neonatal GA1 patients with increased C5DC levels can be identified through NBS. Maternal GA1 patients can also be detected using NBS due to the low C0 levels in their infants. Few neonatal GA1 patients may have atypical acylcarnitine profiles that are easy to miss during NBS; therefore, multigene panel testing should be performed in newborns with low C0 levels. This study indicates that the GCDH variant spectra were heterogeneous in this southern Chinese cohort.

UNASSIGNED: To characterize the phenotypic and genotypic variations associated with Glutaric aciduria type 1 (GA1) in Chinese patients.
UNASSIGNED: We analyzed the clinical, neuroradiological, biochemical, and genetic information from 101 GA1 patients in mainland China.
UNASSIGNED: 20 patients were diagnosed by newborn screening and the remaining 81 cases were identified following clinical intervention. Macrocephaly was the most common presentation, followed by movement disorders and seizures. A total of 59 patients were evaluated by brain MRI and 58 patients presented with abnormalities, with widening of the sylvian fissures being the most common symptom. The concentration of glutarylcarnitine in the blood, glutarylcarnitine/capryloylcarnitine ratio, and urine levels of glutaric acid were increased in GA1 patients and were shown to decrease following intervention. A total of 88 patient samples were available for genotyping and 74 variants within the GCDH gene, including 23 novel variants, were identified. The most common variant was c.1244-2A > C (18.4%) and there were no significant differences in the biochemical or clinical phenotypes described for patients with the four most common variants: c.1244-2A > C, c.1064G > A, c.533G > A, and c.1147C > T. Patients identified by newborn screening had better outcomes than clinical patients.
UNASSIGNED: Our findings expand the spectrum of phenotypes and genotypes for GA1 in Chinese populations and suggest that an expanded newborn screening program using tandem mass spectrometry may facilitate the early diagnosis and treatment of this disease, improving clinical outcomes for patients in China.

Glutaricacidemia type 1(GA1) is an autosomal recessive disease caused by reduced or missing glutaryl-CoA dehydrogenase activity which hamps metabolism of lysine, hydroxylysine and tryptophan. The catabolic products of glutarylcarnitine and glutaric acid are abnormally accumulated in the body, resulting in metabolic disorders which primarily lead to damage to the nervous system. Clinical manifestations of patients include macrocephaly, dystonia, dyskinesia, and developmental retardation. Acute encephalopathy may be induced in infants and young children due to infection, vaccination and surgery. For GA1 is a rare disease and its clinical manifestations are similar to other neurological diseases, it may be easily missed or misdiagnosed. To facilitate early diagnosis and treatment and improve the prognosis, this consensus was formulated by pediatric experts from the fields of endocrinology and genetic metabolism through full discussion and reference to the latest literature and guidelines home and abroad.

OBJECTIVE: To screen for potential variants of GCDH gene in 3 patients clinically diagnosed as glutaric aciduria type Ⅰ.
METHODS: GCDH gene variants was detected by Sanger sequencing among the three children and their family members.
RESULTS: Sanger sequencing showed that patient 1 carried compound heterozygosity variants of c.532G>A (p.Gly178Arg) and c.655G>A (p.Ala219Thr) of the GCDH gene, while his father and mother respectively carried heterozygous c.532G>A(p.Gly178Arg) and c.655G>A (p.Ala219Thr) variants. Patient 2 carried c.532G>A (p.Gly178Arg) and a novel c.1060G>T (p.Gly354Cys) compound heterozygous variant, while his father and mother respectively carried heterozygous c.532G>A (p.Gly178Arg) and c.1060G>T (p.Gly354Cys) variant. Patient 3 carried homozygous c.532G>A (p.Gly178Arg) variant of the GCDH gene, for which both of his parents were heterozygous carriers.
CONCLUSIONS: The GCDH gene variant probably underlie the glutaric aciduria type Ⅰ among the 3 patients. Identifcation of the novel variant has enriched the spectrum of GCDH gene variants.