Objectiveto investigate the differential expression of intestinal flora and serum metabolites and potential biomarkers in patients with pre-diabetic sputum syndrome. MethodA total of 34 patients with pre-diabetic sputum syndrome were included as the phlegm syndrome group，and 37 healthy people were selected as the normal group. Serum and fecal samples of the two groups were collected，and liquid chromatography-mass spectrometry （LC-MS） non-targeted metabolomics and 16S rRNA high-throughput sequencing technology were used to detect serum metabolites and different intestinal flora of the two groups and explore the relationship among pre-diabetic sputum syndrome，serum metabolites，and intestinal flora. ResultIn the distribution of disease syndrome elements in the phlegm syndrome group，the first five disease syndrome elements in terms of frequency and proportion were dampness （73.53%），Qi stagnation （58.82%），Yin deficiency （50.00%），blood stasis （41.18%），and heat （35.29%）. According to the frequency and proportion of disease location syndrome elements，the first three main disease location syndrome elements were spleen （100.00%），liver （41.18%），and kidney （23.53%）. The results of 16S rRNA high-throughput sequencing showed that there were 44 different intestinal flora between the two groups. In order genus，there were significant differences in Bifidobacterium，Veillonococcus，and Roseococcus between the two groups （P<0.05）. The diversity，abundance，and evenness of intestinal flora in the phlegm syndrome group were lower than those in the normal group，with the difference not statistically significant. There was no significant difference in the community structure between two groups. The results of serum metabolomics showed that there were 13 differential metabolites in the two groups，which were mainly concentrated in amino acid metabolism，bile secretion，bile acid biosynthesis，and lipid metabolism （P<0.05）. The correlation among differential metabolites，intestinal flora，and syndrome elements was analyzed，and the results showed that ① lysine was positively correlated with spleen，Yin deficiency，and blood stasis，while taurocholic acid was positively correlated with liver，kidney，blood stasis，and dampness，and there was a positive correlation between taurocholic acid and yin deficiency and heat. The taurochenodeoxycholic acid was positively correlated with liver and dampness，and there was a negative correlation between arachidonic acid and dampness，as well as a positive correlation between glucose and spleen and blood stasis. ② Clostridium was positively correlated with spleen，kidney，Yin deficiency，and Qi stagnation. Rosepiella was negatively correlated with spleen，and Sutterella was negatively correlated with dampness. Bacteroides was negatively correlated with the spleen and kidney，and Bifidobacterium was negatively correlated with the spleen and dampness. ③ Bifidobacterium was positively correlated with glycine，threonine，lysine，and deoxycholic acid significantly，negatively correlated with cholic acid significantly，and positively correlated with taurochenodeoxycholic acid and pyruvic acid. Clostridium was positively correlated with glycine significantly and positively correlated with threonine and lysine. Lachnospira was negatively correlated with glycine，threonine，and pyruvic acid. Lysine was also negatively correlated with Faecalibacterium and Eubacterium ventriosum and positively correlated with Megamonas. There was a positive correlation between taurocholic acid and glycine bile acid and Campylobacter，between taurochenodeoxycholic acid and Veillonococcus，and between glucose and Rosepiella and Eubacterium ventriosum. There was a negative correlation between pyruvic acid and Escheria-Shigella and between taurochenodeoxycholic acid and Prevotella. Conclusionthere are differences in intestinal flora and serum metabolites between patients with pre-diabetic sputum syndrome and healthy people. The intestinal flora and metabolites have been disturbed in the stage of pre-diabetes，Bifidobacterium，Clostridium，Lachnospira，glycine，threonine，and lysine may be the breakthrough to explore the development of pre-diabetic sputum syndrome.

Objective: To identify and analyze the variants of the KCNJ1 gene in five Chinese patients with Bartter syndrome type 2 (BS2), and to describe their clinical features as well as treatment results. Methods: Data and blood samples of five BS2 patients and their relatives confirmed by Qingdao Municipal Hospital from June 2012 to January 2019 were collected. Whole-exome-sequencing (WES) based on the second generation high throughput sequencing was performed to detect variants. The 2015 American College of Medical Genetics and Genomics Standards and Guidelines were applied to analyze the pathogenicity of the variants. The clinical features and laboratory results were retrospectively studied. The response to treatment and follow-up data were reviewed. Results: Ten variants including six novel ones of KCNJ1 gene were identified through WES and verified by Sanger dideoxy sequencing. Missense variants accounted for the highest proportion. The common symptoms and signs of five BS2 patients from high to low incidence were polydipsia and polyuria (5/5), one of them (1/5) presented with diabetes insipidus; maternal polyhydramnios and premature delivery (4/5); growth retardation (3/5). Initially, two patients presented with hypochloremic metabolic alkalosis and hypokalemia, whereas the acid-base disturbance was absent in the others. One patient experienced hyperkalemia. In terms of calcium-phosphorus metabolism, one patient had evident parathyroid hormone (PTH) resistance (hypocalcemia, hyperphosphatemia and markedly elevated serum intact PTH levels), three presented with PTH overacting (hypercalcemia, hypophosphatemia and mild elevated serum intact PTH levels), and one showed normal blood calcium and phosphorus concentrations with high-normal serum intact PTH levels. All patients had nephrocalcinosis or hypercalciuria, and one of them complicated with nephrolithiasis. Indomethacin helped to correct the growth retardation, halt polydipsia polyuria, decrease the elevated urinary calcium excretion, and normalize electrolyte disturbance as well as PTH parameters in some patients. Conclusions This investigation identifies ten variants of KCNJ1 gene, including six ones that have not been previously reported, which will enrich the human gene mutation database (HGMD). These patients in our study have atypical BS phenotype, so that careful differentiation from other parathyroid diseases will be required for clinicians.