Metabolite identification and quantitation of RBD1016 siRNA: a direct comparison of hybridization-based LC-FD and LC-HRAM assays.

Aim: RBD1016 is an N-acetylgalactosamine-conjugated siRNA drug currently in a phase II trial for treatment of chronic hepatitis B virus. To evaluate its absorption, distribution, metabolism and excretion (ADME) and pharmacokinetic/pharmacodynamic (PK/PD) properties, two LC-based bioanalytical methods, LC-high-resolution/accuracy MS and LC-fluorescence detection, were developed and qualified. Materials & methods: The LC-high-resolution/accuracy MS method was used for metabolite identification and simultaneous quantitation of the antisense and sense strands as well as their respective metabolites. The LC-fluorescence detection assay was primarily used for analyzing the antisense strand and its metabolites in low-concentration plasma samples. The two methods were successfully bridged by analyzing the same sets of study samples. Results & conclusion: Both methods were found to have excellent accuracy/precision, specificity and reproducibility to support ADME and PK/PD studies of RBD1016 siRNA.

Analysis of risk factors of precocious puberty in children.

BACKGROUND: The purpose of this study is to explore the related factors of precocious puberty in children. METHODS: 1239 children who underwent physical examination in our hospital from January 2020 to December 2022 were analyzed, including 198 precocious children and 1041 normal children. According to the age of 198 precocious children and 1041 normal children, 205 normal children were selected, and the remaining 836 normal children were excluded. They were divided into precocious group and normal group. The general data of the two groups were recorded. Logistic regression was used to analyze the influencing factors of precocious puberty in children. RESULTS: There were statistically significant differences (P < 0.05) between the two groups in sex, bone age, daily exercise time, E2, FSH, LH, leptin, mother's menarche time, living environment, consumption of nutritional supplements, consumption of foods containing pigments and preservatives, consumption of high-protein foods, and sleeping time. The multifactor logistic regression analysis shows that the risk factors of children's precocious puberty included gender (female), bone age (> 10 years old), and daily exercise time (< 0.9 h), E2 (≥ 66.00pmol/L), FSH (≥ 6.00U/L), LH (≥ 3.50U/L), leptin (≥ 8.00 µ G/L), mother's menarche time (< 12 years old), living environment (chemical industry zone), consumption of nutritional supplements (often), consumption of high-protein food (often), and sleep time (< 10 h). CONCLUSION: In conclusion, children's gender, bone age, exercise habits, E2, FSH, LH, leptin, mother's menarche time, living environment, eating habits, sleep time and other factors are closely related to precocious puberty in children. Reminding parents to actively prevent related factors in clinical work is helpful to prevent the occurrence of precocious puberty in children.

The effectiveness of motivation-guided PDCA cycle nursing for self-management ability and outcomes of patients with gestational diabetes mellitus.

AIM: To explore the effectiveness of motivation-guided 'plan, do, check and action' cycle nursing for self-management ability and outcomes of patients with gestational diabetes mellitus (GDM). DESIGN: A pre- and post- comparison quasi experimental study. METHODS: Totally 108 pregnant women with GDM diagnosed and delivered in our hospital from January 2020 to April 2021 were included in this study. They were divided into study group (54 cases) and control group (54 cases). RESULTS: The score of self-management ability were significantly higher than those of control group (t-test, all p < 0.05), as well as themselves before interventions in both groups (t-test, all p < 0.05). Besides, scores of anxiety, depression, extraverted stimulus and intraverted stimulus all achieved significant reduction after interventions in study group compared with control one (t-test, all p < 0.05), as well as themselves before interventions in both groups (t-test, all p < 0.05). PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Effectiveness of multidisciplinary intervention for gestational diabetes mellitus.

OBJECTIVE: To explore the effectiveness of multidisciplinary intervention for patients with gestational diabetes mellitus (GDM). METHODS: A total of 126 patients diagnosed with GDM from January 2020 to December 2021 in our hospital were enrolled in this retrospective study. Patients were divided into the control group (conventional treatment) and the study group (adding multidisciplinary intervention). Glucose index, self-management ability, psychological status, and delivery outcomes were evaluated. RESULTS: Fasting plasma glucose (4.32 ± 0.81 mmol/L), glycosylated hemoglobin (5.47 ± 1.09%), and postprandial blood glucose (6.02 ± 1.47 mmol/L) after intervention in study group were significantly lower than those in control group (p < 0.05), as well as those before intervention (p < 0.05). The score of GDM knowledge (38.03 ± 2.76), self-management (38.93 ± 2.32), social support (17.84 ± 1.23), and belief (17.93 ± 1.09) were all significantly higher than those of control group (p < 0.05), as well as those before intervention (p < 0.05). Besides, anxiety (7.83 ± 1.59) and depression (10.29 ± 1.82) evaluation scores showed that emotional relief were significantly achieved after intervention in study group compared with control group (p < 0.05). Moreover, the incidence of postpartum hemorrhage, cesarean delivery, premature delivery, macrosomia, and neonatal hypoglycemia was also significantly improved after intervention in study group compared with control group (p < 0.05). CONCLUSIONS: Multidisciplinary intervention can effectively control blood glucose levels, adjust self-management behavior, relieve psychological disorder, reduce complications, and improve delivery outcomes of GDM patients.

Taxonomic and Functional Differences between Microbial Communities in Qinghai Lake and Its Input Streams.

Understanding microbial communities in terms of taxon and function is essential to decipher the biogeochemical cycling in aquatic ecosystems. Lakes and their input streams are highly linked. However, the differences between microbial assemblages in streams and lakes are still unclear. In this study, we conducted an intensive field sampling of microbial communities from lake water and stream biofilms in the Qinghai Lake watershed, the largest lake in China. We determined bacterial communities using high-throughput 16S rRNA gene sequencing and predicted functional profiles using PICRUSt to determine the taxonomic and functional differences between microbial communities in stream biofilms and lake water. The results showed that stream biofilms and lake water harbored distinct microbial communities. The microbial communities were different taxonomically and functionally between stream and lake. Moreover, streams biofilms had a microbial network with higher connectivity and modularity than lake water. Functional beta diversity was strongly correlated with taxonomic beta diversity in both the stream and lake microbial communities. Lake microbial assemblages displayed greater predicted metabolic potentials of many metabolism pathways while the microbial assemblages in stream biofilms were more abundant in xenobiotic biodegradation and metabolism and lipid metabolism. Furthermore, lake microbial assemblages had stronger predicted metabolic potentials in amino acid metabolism, carbon fixation, and photosynthesis while stream microbial assemblages were higher in carbohydrate metabolism, oxidative phosphorylation, and nitrogen metabolism. This study adds to our knowledge of stream-lake linkages from the functional and taxonomic composition of microbial assemblages.

Prokaryotic Community Structure Driven by Salinity and Ionic Concentrations in Plateau Lakes of the Tibetan Plateau.

The prokaryotic community composition and diversity and the distribution patterns at various taxonomic levels across gradients of salinity and physiochemical properties in the surface waters of seven plateau lakes in the Qaidam Basin, Tibetan Plateau, were evaluated using Illumina MiSeq sequencing. These lakes included Lakes Keluke (salinity, <1 g/liter), Qing (salinity, 5.5 to 6.6 g/liter), Tuosu (salinity, 24 to 35 g/liter), Dasugan (salinity, 30 to 33 g/liter), Gahai (salinity, 92 to 96 g/liter), Xiaochaidan (salinity, 94 to 99 g/liter), and Gasikule (salinity, 317 to 344 g/liter). The communities were dominated by Bacteria in lakes with salinities of <100 g/liter and by Archaea in Lake Gasikule. The clades At12OctB3 and Salinibacter, previously reported only in hypersaline environments, were found in a hyposaline lake (salinity, 5.5 to 6.6 g/liter) at an abundance of ∼1.0%, indicating their ecological plasticity. Salinity and the concentrations of the chemical ions whose concentrations covary with salinity (Mg(2+), K(+), Cl(-), Na(+), SO4 (2-), and Ca(2+)) were found to be the primary environmental factors that directly or indirectly determined the composition and diversity at the level of individual clades as well as entire prokaryotic communities. The distribution patterns of two phyla, five classes, five orders, five families, and three genera were well predicted by salinity. The variation of the prokaryotic community structure also significantly correlated with the dissolved oxygen concentration, pH, the total nitrogen concentration, and the PO4 (3-) concentration. Such correlations varied depending on the taxonomic level, demonstrating the importance of comprehensive correlation analyses at various taxonomic levels in evaluating the effects of environmental variable factors on prokaryotic community structures. Our findings clarify the distribution patterns of the prokaryotic community composition in plateau lakes at the levels of individual clades as well as whole communities along gradients of salinity and ionic concentrations.

High genetic diversity and novelty in eukaryotic plankton assemblages inhabiting saline lakes in the Qaidam basin.

Saline lakes are intriguing ecosystems harboring extremely productive microbial communities in spite of their extreme environmental conditions. We performed a comprehensive analysis of the genetic diversity (18S rRNA gene) of the planktonic microbial eukaryotes (nano- and picoeukaryotes) in six different inland saline lakes located in the Qaidam Basin. The novelty level are high, with about 11.23% of the whole dataset showing <90% identity to any previously reported sequence in GenBank. At least 4 operational taxonomic units (OTUs) in mesosaline lakes, while up to eighteen OTUs in hypersaline lakes show very low CCM and CEM scores, indicating that these sequences are highly distantly related to any existing sequence. Most of the 18S rRNA gene sequence reads obtained in investigated mesosaline lakes is closely related to Holozoa group (48.13%), whereas Stramenopiles (26.65%) and Alveolates (10.84%) are the next most common groups. Hypersaline lakes in the Qaidam Basin are also dominated by Holozoa group, accounting for 26.65% of the total number of sequence reads. Notably, Chlorophyta group are only found in high abundance in Lake Gasikule (28.00%), whereas less represented in other hypersaline lakes such as Gahai (0.50%) and Xiaochaidan (1.15%). Further analysis show that the compositions of planktonic eukaryotic assemblages are also most variable between different sampling sites in the same lake. Out of the parameters, four show significant correlation to this CCA: altitude, calcium, sodium and potassium concentrations. Overall, this study shows important gaps in the current knowledge about planktonic microbial eukaryotes inhabiting Qaidam Basin (hyper) saline water bodies. The identified diversity and novelty patterns among eukaryotic plankton assemblages in saline lake are of great importance for understanding and interpreting their ecology and evolution.