Assessment and characterization of gut microbiota has become a major research area in human disease, including type 2 diabetes, the most prevalent endocrine disease worldwide. To carry out analysis on gut microbial content in patients with type 2 diabetes, we developed a protocol for a metagenome-wide association study (MGWAS) and undertook a two-stage MGWAS based on deep shotgun sequencing of the gut microbial DNA from 345 Chinese individuals. We identified and validated approximately 60,000 type-2-diabetes-associated markers and established the concept of a metagenomic linkage group, enabling taxonomic species-level analyses. MGWAS analysis showed that patients with type 2 diabetes were characterized by a moderate degree of gut microbial dysbiosis, a decrease in the abundance of some universal butyrate-producing bacteria and an increase in various opportunistic pathogens, as well as an enrichment of other microbial functions conferring sulphate reduction and oxidative stress resistance. An analysis of 23 additional individuals demonstrated that these gut microbial markers might be useful for classifying type 2 diabetes.

Many analyses of the human gut microbiome depend on a catalog of reference genes. Existing catalogs for the human gut microbiome are based on samples from single cohorts or on reference genomes or protein sequences, which limits coverage of global microbiome diversity. Here we combined 249 newly sequenced samples of the Metagenomics of the Human Intestinal Tract (MetaHit) project with 1,018 previously sequenced samples to create a cohort from three continents that is at least threefold larger than cohorts used for previous gene catalogs. From this we established the integrated gene catalog (IGC) comprising 9,879,896 genes. The catalog includes close-to-complete sets of genes for most gut microbes, which are also of considerably higher quality than in previous catalogs. Analyses of a group of samples from Chinese and Danish individuals using the catalog revealed country-specific gut microbial signatures. This expanded catalog should facilitate quantitative characterization of metagenomic, metatranscriptomic and metaproteomic data from the gut microbiome to understand its variation across populations in human health and disease.

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Energy storage and conversion have attained significant interest owing to its important applications that reduce COi emission through employing green energy. Sorne promising technologies are included metal air batteries, metal sulfur batteries, met al ion batteries, electrochemical ca pacitors, etc. Here, metal elements are involved with lithium, sodium, and magnesium For these devices, electrode materials are of importance to obtain high performance. Two dimensional (2D) materials are a large kind of layered structured materials with promising future as energy storage materials, which include graphene, black phosporus, MXenes , covalent organic frameworks ( COFs ), 2D oxides, 2D chalcogenides, and ot hers. Great progress has been achieved to go ahead for 2D materials in energy storage and conversion. More researchers will j oin in this res earch field. Under the background, it has motivated us to c ontribute with a roadmap on 'two dimensional materials for energy storage and conversion.

IMPORTANCEOwing to the good prognosis of differentiated thyroid cancer (DTC), guidelines recommend total thyroidectomy (TT) or thyroid lobectomy (TL) as surgical treatment for DTC with low to intermediate risk of recurrence. However, the association of these surgeries with the health-related quality of life (HRQOL) of patients with DTC with low to intermediate risk of recurrence is unclear.OBJECTIVE To longitudinally compare the HRQOL of patients with DTC undergoing different surgeries. DESIGN, SETTING, AND PARTICIPANTSThis prospective observational longitudinal cohort study enrolled patients diagnosed with DTC with low to intermediate risk of recurrence at the First Affiliated Hospital, Sun Yat-sen University, China, from October 1, 2018, to September 31, 2019. Eligible patients were categorized into TL and TT groups according to the surgery they underwent. They were evaluated preoperatively and followed up at 1, 3, 6, and 12 months postoperatively using 3 HRQOL-related questionnaires (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire, version 3.0; Hospital Anxiety and Depression Scale; and Thyroid Cancer-Specific Quality of Life Questionnaire); serum thyrotropin levels, complications, and patient satisfaction were also monitored. Data were analyzed to compare the HRQOL of patients undergoing different surgeries at different time points.EXPOSURES Total thyroidectomy or TL. MAIN OUTCOMES AND MEASURESThe primary end point was HRQOL (European Organization for Research and Treatment of Cancer Quality of Life Questionnaire, version 3.0; Hospital Anxiety and Depression Scale; and Thyroid Cancer-Specific Quality of Life Questionnaire) at different time points, and the secondary end points were postoperative complications, thyrotropin level, and patient satisfaction. RESULTS Of the 1060 eligible patients, 563 underwent TL (438 women [77.8%]; median [IQR] age, 38 [31-45] years), and 497 underwent TT (390 women [78.5%]; median [IQR] age, 38 [32-48] years). Compared with the TL group, including the 1-to 4-cm tumor subgroup, the TT group experienced more postoperative HRQOL problems at 1 and 3 months postoperatively. However, nearly all the differences disappeared at 6 and 12 months postoperatively. CONCLUSIONS AND RELEVANCEResults of this study suggest that HRQOL of patients with DTC with low to intermediate risk of recurrence is not associated with the extent of surgery, and HRQOL may not be an important consideration when making surgical decisions. If better HRQOL is requested in the short term, TL may be preferred.

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In this study, we examine the concepts of spatial dependence and spatial heterogeneity in the effect of macro-level and micro-level factors on stunting among children aged under five in Uganda. We conducted a cross-sectional analysis of 3624 Ugandan children aged under five, using data from the 2016 Ugandan Demographic and Health Survey. Multilevel mixed-effect analysis, spatial regression methods and multi-scale geographically weight regression (MGWR) analysis were employed to examine the association between our predictors and stunting as well as to analyse spatial dependence and variability in the association. Approximately 28% of children were stunted. In the multilevel analysis, the effect of drought, diurnal temperature and livestock per km2 on stunting was modified by child, parent and household factors. Likewise, the contextual factors had a modifiable effect on the association between child’s sex, mother’s education and stunting. The results of the spatial regression models indicate a significant spatial error dependence in the residuals. The MGWR suggests rainfall and diurnal temperature had spatial varying associations with stunting. The spatial heterogeneity of rainfall and diurnal temperature as predictors of stunting suggest some areas in Uganda might be more sensitive to variability in these climatic conditions in relation to stunting than others.

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