Explore the vast range of titles available.

As rapid progress has been achieved in emerging thin film solar cell technology, organic–inorganic hybrid perovskite solar cells (PVSCs) have aroused many concerns with several desired properties for photovoltaic applications, including large absorption coefficients, excellent carrier mobility, long charge carrier diffusion lengths, low‐cost, and unbelievable progress. Power conversion efficiencies increased from 3.8% in 2009 up to the current world record of 22.1%. However, poor long‐term stability of PVSCs limits the future commercial application. Here, the degradation mechanisms for unstable perovskite materials and their corresponding solar cells are discussed. The strategies for enhancing the stability of perovskite materials and PVSCs are also summarized. This review is expected to provide helpful insights for further enhancing the stability of perovskite materials and PVSCs in this exciting field. Perovskite solar cells have attracted much attention due to their low‐cost fabrication and high efficiency, with a recently recorded power conversion efficiency of 22.1%. However, a crucial challenge for perovskite solar cells is stability. The various external causes of failure, such as moisture, heat, light, etc., and associated mechanisms of perovskite solar cells degradation from two aspects of perovskite layer and device structure are reviewed.

F-box protein 11 (FBXO11) is a member of F-Box protein family, which has recently been proved to be associated with intellectual developmental disorder with dysmorphic facies and behavioral abnormalities (IDDFBA, OMIM: 618089). In this study, 12 intellectual disability individuals from 5 Chinese ID families were collected, and whole exome sequencing (WES), sanger sequencing, and RNA sequencing (RNA-seq) were conducted. Almost all the affected individuals presented with mild to severe intellectual disability (12/12), global developmental delay (10/12), speech and language development delay (8/12) associated with a range of alternate features including increased body weight (7/12), short stature (6/12), seizures (3/12), reduced visual acuity (4/12), hypotonia (1/12), and auditory hallucinations and hallucinations (1/12). Distinguishingly, malformation was not observed in all the affected individuals. WES analysis showed 5 novel FBXO11 variants, which include an inframe deletion variant, a missense variant, two frameshift variants, and a partial deletion of FBXO11 (exon 22-23). RNA-seq indicated that exon 22-23 deletion of FBXO11 results in a new mRNA structure. Conservation and protein structure prediction demonstrated deleterious effect of these variants. The DEGs analysis revealed 148 differentially expressed genes shared among 6 affected individuals, which were mainly associated with genes of muscle and immune system. Our research is the first report of FBXO11-associated IDDFBA in Chinese individuals, which expands the genetic and clinical spectrum of this newly identified NDD/ID syndrome.

Giant pandas in zoo captivity are situated in residential areas, where environmental pollutants and anthropogenic factors have an impact on their health. Hair metabolomics has been applied in numerous environmental toxicological studies. Therefore, the panda fur metabolome could be a reliable approach to reflect endogenous and exogenous metabolic changes related to environmental exposure. However, there is no established extraction protocol to study the fur metabolome of pandas. The aim of this research was to optimize the extraction of panda fur metabolome for high-throughput metabolomics analysis using gas chromatography-mass spectrometry. Fur samples were collected from five pandas. Eight different extraction methods were investigated and evaluated for their reproducibility, metabolite coverage, and extraction efficiency, particularly in relation to the biochemical compound classes such as amino acids, tricarboxylic acid cycle derivatives, fatty acids, and secondary metabolites. Our results demonstrated that HCl + ACN were the superior extraction solvents for amino acid and secondary metabolite extraction, and NaOH + MeOH was ideal for fatty acid extraction. Interestingly, the metabolomic analysis of panda fur was capable of discriminating the longitudinal metabolite profile between black and white furs. These extraction protocols can be used in future study protocols for the analysis of the fur metabolome in pandas.

PurposeThe purpose of this study was to investigate alterations in serum metabolites during endometrial transformation and possible associations with recurrent implantation failure (RIF) in hormonal replacement therapy (HRT)-frozen embryo transfer (FET) cycles.MethodsWe performed a prospective study involving 100 patients scheduled for HRT-FET cycles during January 2022 to April 2022. Blood serum samples were collected on the day of progesterone administration (dPA) and on the third day of progesterone administration (d3PA). Gas chromatography-mass spectrometry (GC-MS) analysis was performed to identify and quantify serum metabolites. A nested case-control study including 19 RIF patients and 19 matching controls was conducted to explore the predictive value of serum metabolites for RIF. Partial least squares discriminant analysis (PLS-DA) and receiver operating characteristic (ROC) curve analysis were performed to establish prediction models.Main resultsWe identified 105 serum metabolites, with 76 of them exhibiting significant alterations during the initial 3 days of endometrial transformation. Metabolites involved in amino acid metabolism and tricarboxylic acid (TCA) cycle showed lower levels during endometrial transformation. In the nested case-control study, the prediction model based on the ratio of serum metabolites between d3PA and dPA showed the highest area under the ROC curve (AUC), accuracy, and R2 and Q2 values. Eight metabolites, including indol-3-propionic acid, beta-alanine, myristoleic acid, malic acid, indole, DL-isocitric acid, proline, and itaconic acid, exhibited high predictive values for RIF.ConclusionThis study demonstrates alterations in serum metabolites during endometrial transformation, particularly in amino acid metabolism and TCA cycle. The identified metabolites, especially indol-3-propionic acid and malic acid, show potential as predictive markers for RIF. These findings contribute to a better understanding of the metabolic changes associated with endometrial receptivity and provide insights for the development of personalized approaches to improve implantation outcomes in FET cycles.

Purpose To conduct a comparative metabolomic analysis of follicular fluid (FF) from patients undergoing in vitro fertilization (IVF) cycles under GnRH agonist versus antagonist protocols, aiming to identify protocol-specific metabolic signatures and explore their associations with embryological outcomes, thereby elucidating the metabolic basis for outcome differences and identifying modifiable metabolic factors to expand the scope for improving IVF outcomes. Methods This study included 94 patients (47 per group) propensity score-matched for age, body mass index (BMI), anti-Müllerian hormone (AMH), and antral follicle count (AFC). FF samples collected during oocyte retrieval were analyzed using gas chromatography-mass spectrometry (GC-MS). The concentrations of identified metabolites were compared between groups and correlated with key laboratory parameters including the number of retrieved oocytes, Day 3 high-quality embryos, blastocysts, and high-quality blastocysts, as well as cumulative clinical pregnancy rates. Results The patients in GnRH agonist group were found to have better ovarian response, reflected by increased numbers of retrieved oocytes. Metabolomic profiling identified 58 differentially abundant metabolites between the two protocols. The levels of three key fatty acids, 11,14,17-eicosatrienoic acid, homo-γ-linolenic acid, and pentadecanoic acid, markedly decreased in the antagonist group (fold change < 0.75, variable importance in projection > 1.5). These metabolites exhibited strong power to discriminate between the protocols (area under the curve > 80%) and showed significant positive correlations with the number of high-quality embryos ( r  = 0.32–0.45, P  < 0.05). A trend towards a higher cumulative clinical pregnancy rate was observed in the GnRH agonist group (72.34% vs. 55.32%, P  = 0.05). Conclusion GnRH agonist and antagonist protocols induce distinct metabolomic profiles in FF. The GnRH agonist protocol is associated with a follicular microenvironment enriched in specific fatty acids, which may contribute to superior ovarian response and increased numbers of high-quality embryos. The identified metabolites serve as potential biomarkers for oocyte quality and provide a theoretical basis for future investigations into nutritional interventions (e.g., omega-3 fatty acid supplementation) aiming at modulating the follicular microenvironment to optimize IVF outcomes following GnRH antagonist protocols.

Metabolomics serves as a useful tool for identifying biomarkers of disease and uncovering pathogenic mechanisms. However, most metabolomic studies use biological fluids such as blood and urine as biospecimens, which could be dramatically influenced by daily activities and dietary variation, resulting in measurement fluctuations. In contrast, hair may serve as a robust source of stable longitudinal metabolite information. Here, we conducted a pilot study to investigate the possibility of using hair as a biospecimen for the metabolomic analysis of cervical cancer. Hair, plasma, urine, and cervical tissue samples from cervical cancer and benign tumor patients were collected. Biospecimens were then tested using a gas chromatography-mass spectrometry-based metabolomic platform. The expressions of enzymatic genes related to metabolic changes were validated using qPCR. Statistical analyses were calculated via the R-console platform. Metabolite profiles in both hair and cervical tissue samples were significantly different between cancer and control groups, while no difference was observed in plasma and urine samples. Further analysis showed that most of the altered metabolites in hair were upregulated, and they had a negative correlation with those in the cervical tissue. Eight common metabolites showed an area under the Receiver Operating Characteristic curve greater than 0.95. These metabolites primarily participated in amino acid metabolism, cofactor synthesis, ferroptosis, and glycolysis. The gene expressions ( IDH1 , OGDH , GLUD1 , ENO1 , GSS , and GPX4 ) associated with the shortlisted metabolic pathways were also upregulated. Our study is the first to reveal metabolomic changes of hair in cervical cancer patients and demonstrates the potential for the hair metabolome to be used for biomarker identification in cervical cancer.

Recently, the two-dimensional (2D) ruddlesden-popper (RPP) perovskite has been successfully attracting great attention owing to their excellent electronic property and superior ambient stability. But 2D perovskite solar cells (PVSCs) with insulating large cations show a worse performance than three-dimensional (3D) PVSCs in general because of the worse charge transportation. In this work, dimethyl sulfoxide (DMSO) and KI were incorporated simultaneously to produce a synergistic effect on both film quality and orientation of 2D perovskite. With this strategy, a cavity-free 2D perovskite film was formed with vertically oriented crystal, and high quality film was obtained with decreased defects and increased crystallinity. Besides, profitable multiple phases were obtained for better spontaneous carrier separation and transportation. The 2D PVSCs based on (PEA) 2 (MA) n −1 PbnI 3 n +1 ( n =5) delivered a higher power conversion efficiency (PCE) of 13.4%. In addition, the perovskite with KI and DMSO contained more stable low-dimension phase at the bottom of perovskite film, which could act as a barrier to prevent moisture from further eroding internal perovskites. The optimized 2D PVSCs remained 90% of the PCE after being exposed in air (50%–60% humidity, room temperature) with a continuous illumination for 300 h.

This study presents pooled analyses of the associations between BMI and risk of death in more than 1.1 million people from 19 cohorts in Asia after a mean follow-up of 9.2 years. Underweight was associated with a substantially increased risk of death in all Asian populations. Over the past few decades, there has been a dramatic increase in the prevalence of obesity in many countries. The World Health Organization (WHO) estimates that more than 1 billion adults worldwide are overweight; of these, at least 300 million are obese. 1 A large number of epidemiologic studies have evaluated the associations between body weight and, more often, the body-mass index (BMI; the weight in kilograms divided by the square of the height in meters) and a wide range of health outcomes. Obesity is associated with multiple chronic diseases, including type 2 diabetes, hypertension, coronary heart disease, stroke, and several . . .

Most previous studies of meat intake and total or cause-specific mortality were conducted in North America, whereas studies in other areas have been limited and reported inconsistent results. This study investigated the association of red meat or poultry intake with risk of total and cause-specific mortality, including cancer and cardiovascular disease (CVD), in two large population-based prospective cohort studies of 134,290 Chinese adult women and men in Shanghai. Meat intakes were assessed through validated food frequency questionnaires administered in person at baseline. Vital status and dates and causes of deaths were ascertained through annual linkage to the Shanghai Vital Statistics Registry and Shanghai Cancer Registry databases and home visits every 2-3 years. Cox regression was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for the risk of death associated with quintiles of meat intake. During 803,265 person-years of follow up for women and 334,281 person-years of follow up for men, a total of 4,210 deaths in women and 2,733 deaths in men accrued. The median intakes of red meat were 43 g/day among women and 54 g/day among men, and pork constituted at least 95% of total meat intake for both women and men. Red meat intake was associated with increased total mortality among men, but not among women; the HR (95% CI) comparing the highest with the lowest quintiles were 1.18 (1.02-1.35) and 0.92 (0.82-1.03), respectively. This sex difference was statistically significant (P = 0.01). Red meat intake was associated with increased risk of ischemic heart disease mortality (HR = 1.41, 95% CI = 1.05-1.89) and with decreased risk of hemorrhagic stroke mortality (HR = 0.62, 95% CI = 0.45-0.87). There were suggestive inverse associations of poultry intake with risk of total and all-CVD mortality among men, but not among women. Further investigations are needed to elucidate the sex-specific associations between red meat intake and mortality.

A reverse-phase liquid chromatography method with diode array detection was developed to evaluate the quality of Ginkgo biloba extract through establishing chromatographic fingerprint and simultaneous determination of eight flavonoid compounds, namely rutin, myricetin, quercitrin, quercetin, luteolin, kaempferol, apigenin, and isorhamnetin. The chromatographic separation was performed on an Agilent SB-C18 column (250 × 4.6 mm, 5.0 µm) with a gradient elution program using a mixture of methanol and 0.1% formic acid (v/v) as mobile phase within 55 min at 360-nm wavelength. The correlation coefficients of similarity for different batches of G. biloba extract from the same manufacturer and G. biloba extract from different manufacturers were determined from the LC fingerprints, and they shared a close similarity. The eight flavonoid compounds showed good regression (R ² > 0.9995) within test ranges, and the recovery of the method was in the range of 94.1-101.4%. In addition, the content of those eight flavonoid compounds in G. biloba extract prepared by different manufacturers of China was determined to establish the effectiveness of the method. The results indicated that the developed method by having a combination of chromatographic fingerprint and quantification analysis could be readily utilized as a quality control method for G. biloba extract and its related traditional Chinese medicinal preparations. [graphic removed]