[Effect of growth hormone supplementation on liver and lung function in patients with hypopituitarism].

To analyze the clinical features of patients with anterior hypopituitarism (HP) complicated with cirrhosis, and to explore the effects of growth hormone supplementation on liver and lung function. A total of 11 patients with HP complicated with cirrhosis admitted to Peking Union Medical College Hospital from January 2016 to December 2022 were included in the study, including 8 males and 3 females, aged [M(Q1, Q3)]31 (20, 37) years. There were 6 patients with pituitary stalk interruption syndrome, 4 patients after craniopharyngioma resection, and 1 patient after germinal cell tumor chemoradiotherapy. Cirrhosis appeared at [M(Q1, Q3)]7 (1, 16) years after the diagnosis of HP. There were 7 cases complicated with hepatopulmonary syndrome (HPS). The liver and lung function of 5 patients were improved significantly after the addition of growth hormone, and the arterial partial pressure of oxygen increased from (47±11) mmHg(1 mmHg=0.133 kPa) to (84±12) mmHg. Timely supplementation of growth hormone can improve the symptoms of fatty liver, cirrhosis and HPS, and postpone or even avoid the transplantation of liver and other organs.

[Clinical and genetic analysis of a patient with HUPRA syndrome due to missense variants of SARS2 gene and literature review].

Objective: To explore the clinical manifestations and genotype of an infant with hyperuricemia, pulmonary hypertension, renal failure in infancy, and alkalosis syndrome (HUPRAS). Methods: Clinical data of the patient were collected. Peripheral blood samples from the patient and his parents were acquainted for whole exome sequencing. The filtrated variants were verified by Sanger sequencing. The pathogenicity of the variants was predicted by bioinformatic tools. Results: The patient is a male infant of 6 months old, carrying two missense variants in the SARS2 allele: a paternal inherited c.1205G>A (p. Arg402His) and a maternal inherited c.680G>A (p. Arg227Gln). The two variants were in extremely low population frequencies. The pathogenetic prediction tools categorized them as deleterious. Arg402 and Arg227 were highly conserved in evolution. The variants led to changes in the hydrogen bonds and hydrophobicity of seryl-tRNA synthetase encoded by SARS2. Conclusions: c.1205G>A (p. Arg402His) and c.680G>A (p. Arg227Gln) are the possible causative variants of the HUPRA syndrome.

Clinical, biochemical and genetic characteristics and long-term follow-up of five patients with malonyl-CoA decarboxylase deficiency.

BACKGROUND: Malonyl-CoA decarboxylase (MLYCD) deficiency, also known as malonic aciduria (MAD), is a rare autosomal recessive inherited metabolic defect. In this study, we aimed to investigate the clinical and molecular features of five patients with MAD in order to increase clinicians' awareness of the disease. METHODS: Sanger sequencing was used to detect and genetically analyze the MLYCD variations in the preexisting patients and their parents. RESULTS: Five patients with MAD (5 months to 9.6 years old; two males and three females) rarely exhibited metabolic decompensation episodes or seizures. All patients exhibited varying degrees of developmental delay and hypotonia. Our study expands the spectrum of variants of the MLYCD gene. MLYCD gene variations were detected in all five patients, and five new variants were identified: c.60delG (p.Arg21Glyfs*52), c.928C > T (p.Arg310*), c.1293G > T (p.Trp431Cys), c.721T > C (p.Ser241Pro), and Exons 4-5 deletion. Additionally, there is no correlation between various genotypes and phenotypes. CONCLUSION: A high-medium-chain triglyceride and low-long-chain triglyceride diet supplemented with L-carnitine was effective in most patients and may improve cardiomyopathy and muscle weakness. Newborn screening may aid in the early diagnosis, treatment, and prognosis of this rare disorder.

A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma.

PURPOSE: Given its heterogeneity and diverse clinical outcomes, precise subclassification of Barcelona Clinic Liver Cancer stage C (BCLC-C) hepatocellular carcinoma (HCC) is required for appropriately determining patient prognosis and selecting treatment. EXPERIMENTAL DESIGN: We recruited 2,626 patients with BCLC-C HCC from multiple centers, comprising training/test (n = 1,693) and validation cohorts (n = 933). The XGBoost model was chosen for maximum performance among the machine learning (ML) models. Patients were categorized into low-, intermediate-, high-, and very high-risk subgroups based on the estimated prognosis, and this subclassification was named the CLAssification via Machine learning of BCLC-C (CLAM-C). RESULTS: The areas under the receiver operating characteristic curve of the CLAM-C for predicting the 6-, 12-, and 24-month survival of patients with BCLC-C were 0.800, 0.831, and 0.715, respectively-significantly higher than those of the conventional models, which were consistent in the validation cohort. The four subgroups had significantly different median overall survivals, and this difference was maintained among various patient subgroups and treatment modalities. Immune-checkpoint inhibitors and transarterial therapies were associated with significantly better survival than tyrosine kinase inhibitors (TKI) in the low- and intermediate-risk subgroups. In cases with first-line systemic therapy, the CLAM-C identified atezolizumab-bevacizumab as the best therapy, particularly in the high-risk group. In cases with later-line systemic therapy, nivolumab had better survival than TKIs in the low-to-intermediate-risk subgroup, whereas TKIs had better survival in the high- to very high-risk subgroup. CONCLUSIONS: ML modeling effectively subclassified patients with BCLC-C HCC, potentially aiding treatment allocation. Our study underscores the potential utilization of ML modeling in terms of prognostication and treatment allocation in patients with BCLC-C HCC.