Identification of Novel Variants in MEN1: A Study Conducted with Four Multiple Endocrine Neoplasia Type 1 Patients.

Multiple endocrine neoplasia type 1 (MEN1) is an autosomal dominant inherited endocrine tumor syndrome caused by inactivating variants of the MEN1 gene. The aim of this study is to explore the clinical and genetic characteristics of four MEN1 patients. We isolated genomic deoxyribonucleic acid from lymphocytes, parathyroid, and thymic tumoral tissue specimens from the MEN1 patients. All exons of the MEN1 and CDNK1B genes and adjacent exon-intron sequences were amplified by polymerase chain reaction and subsequently sequenced. Further, the splice alterations were studied by sequencing the amplified RT-PCR products for MEN1 cDNA. We identified four heterozygous MEN1 germline variants: c.564delC, c.1268G>A, IVS5+5delG, and c.1546_1547insC. Both c.564delC and IVS5+5delG were novel variants. The impact of the MEN1 splice variant, IVS5+5delG, was evaluated using bioinformatics and in vitro analyses. The analyses indicated that this variant resulted in skipping of the neighboring exon and was disease-causing. Two novel somatic variants, c.249_252delGTCT and c.313_314insC, were found. Additionally, loss of heterozygosity (LOH) for the MEN1 locus (IVS5+5delG and c.564delC) was found in tumor tissue samples from the MEN1 patients, consistent with Knudson's two-hit mechanism. We identified four MEN1 germline variants and two novel somatic variants. Early recognition of the phenotype coupled with variant screening of the MEN1 gene is the key to diagnosing and treating MEN1 effectively at an early stage.

Clinical and functional analyses of the novel STAR c.558C>A in a patient with classic lipoid congenital adrenal hyperplasia.

Objective: Congenital lipid adrenal hyperplasia (LCAH) is the most serious type of congenital adrenal hyperplasia and is caused by steroid-based acute regulatory (STAR) protein mutations. Herein, we report compound heterozygous mutations c.558C>A (p.S186 R) and c.772C>T (p.Q258*) in a newborn 46 XY patient diagnosed with classic LCAH and explore their clinical and functional characteristics. Methods: Peripheral blood samples were collected from LCAH patient and their families. The pathogenic variant identified by whole-exome sequencing was further confirmed by Sanger sequencing and pedigree verification. The functional consequence and ability to convert cholesterol into progesterone of the identified STAR Q258* and S186 R mutations were analyzed by cell transfection and in vitro assays. Results: The proband was presented with severe glucocorticoid and mineralocorticoid deficiency, high adrenocorticotropic hormone, and enlarged adrenals. Heterozygous mutations p. S186 R and p. Q258* in the STAR gene were identified in the patient, and her parents were carriers, which is consistent with an autosomal recessive disorder. The STAR p. Q258* mutation has been reported and generates a truncated protein. The p. S186 R mutation is a novel variant that disrupts STAR. The residual STAR activities of p. S186R, p. Q258*, and p. S186R/p.Q258* were 13.9%, 7.3%, and 11.2%, respectively, of the wild-type, proving the main negative effects of the mutant proteins. Conclusion: Our findings reveal the molecular mechanisms underlying LCAH pathogenesis, further expanding the genotype and clinical spectrum of LCAH.

Dysbiosis of gut microbiota and decreased propionic acid associated with metabolic abnormality in Cushing's syndrome.

Objective: Chronic hypercortisolism leads to a phenotype resembling metabolic syndrome. We aimed to investigate the association between gut microbiota and metabolic abnormalities in endogenous hypercortisolism (Cushing's syndrome). Methods: A total of 23 patients with Cushing's syndrome (18 female and 5 men, aged 47.24 ± 12.99 years) and 30 age-, sex-and BMI-matched healthy controls (18 female and 12 men, aged 45.03 ± 6.69 years) were consecutively recruited. Differences in gut microbiota and plasma short-chain fatty acid (SCFAs) concentrations between the Cushing's syndrome patients and controls were analyzed by 16S rRNA sequencing and gas chromatography-mass spectrometry (GC-MS). Results: Compared to the controls, the Simpson and Pielou indices of α diversity were dramatically decreased in Cushing's syndrome (P < 0.05). The gut microbiota community structure differed significantly between Cushing's syndrome patients and controls. Compared to controls, the bacterial communities of the Cushing's syndrome patients were enriched in Proteobacteria and Escherichia-Shigella, and depleted in Firmicutes, including Agathobacter, Blautia, Anaerostipes, Eubacterium_eligens_group, and Lachnospira. Spearman analysis demonstrated that HbA1c, SBP, DBP, and cortisol levels were significantly positively correlated with Proteobacteria and Escherichia-Shigella, whereas negatively correlated with Agathobacter, Blautia, Anaerostipes, Eubacterium_hallii_group, and Lachnospira, etc. Cushing's syndrome patients also had a lower propionic acid concentration (0.151±0.054 vs. 0.205±0.032 µg/mL, P=0.039) than controls. Furthermore, the level of propionic acid was negatively correlated with systolic pressure and cortisol levels (P<0.05). Conclusion: Gut microbiota dysbiosis and decreased propionic acid levels were observed in patients with Cushing's, suggesting that the gut microbiota may be a potential therapeutic intervention target to improve hypercortisolism-related metabolic abnormalities.

Hyperglycemia is a strong predictor of poor prognosis in COVID-19.

AIMS: The objective of this study is to explore the association between documented diabetes, fasting plasma glucose (FPG), and the clinical outcomes of Coronavirus disease 2019 (COVID-19). METHODS: This retrospective study included 255 patients with COVID-19. Of these, 214 were admitted to isolation wards and 41were admitted to intensive care units (ICUs). Demographic, clinical, treatment, and laboratory data were collected and compared between ICU and non-ICU patients. Multivariable logistic regression models were used to explore the risk factors associated with poor clinical outcomes (ICU admission or death). RESULTS: There were significant changes in several clinical parameters in ICU patients (leukopenia, lymphopenia, elevated D-dimer, as well as higher levels of FPG, cardiac troponin, serum ferritin, IL-6, and high-sensitivity C-reactive protein)compared with non-ICU patients. The prevalence of known diabetes was substantially higher in ICU than non-ICU patients (31.7% vs. 17.8%, P = 0.0408). Multivariable regression analysis showed that a history of diabetes [odds ratio (OR), 0.099; 95% confidence interval (CI), 0.016-0.627; P = 0.014], high FPG at admission (OR, 1.587; 95% CI, 1.299-1.939, P < 0.001), high IL-6 (OR, 1.01; 95% CI, 1.002-1.018, P = 0.013), and D-dimer higher than 1 mg/L at admission (OR, 4.341; 95% CI, 1.139-16.547, P = 0.032) were independent predictors of poor outcomes. Cox proportional hazards analysis showed that compared with FPG < 7 mmol/L, FPG levels of 7.0-11.1 mmol/L and ≥ 11.1 mmol/L were associated with an increased hazard ratio (HR) for poor outcome (HR, 5.538 [95% CI, 2.269-13.51] and HR, 11.55 [95% CI, 4.45-29.99], respectively). CONCLUSION: Hyperglycemia and a history of diabetes on admission predicted poor clinical outcomes in COVID-19.