On the critical competition between singlet exciton decay and free charge generation in non-fullerene based organic solar cells with low energetic offsets.

Reducing voltage losses while maintaining high photocurrents is the holy grail of current research on non-fullerene acceptor (NFA) based organic solar cell. Recent focus lies in understanding the various fundamental mechanisms in organic blends with minimal energy offsets - particularly the relationship between ionization energy offset (ΔIE) and free charge generation. Here, we quantitatively probe this relationship in multiple NFA-based blends by mixing Y-series NFAs with PM6 of different molecular weights, covering a broad power conversion efficiency (PCE) range: from 15% down to 1%. Spectroelectrochemistry reveals that a ΔIE of more than 0.3 eV is necessary for efficient photocurrent generation. Bias-dependent time-delayed collection experiments reveal a very pronounced field-dependence of free charge generation for small ΔIE blends, which is mirrored by a strong and simultaneous field-dependence of the quantified photoluminescence from the NFA local singlet exciton (LE). We find that the decay of singlet excitons is the primary competition to free charge generation in low-offset NFA-based organic solar cells, with neither noticeable losses from charge-transfer (CT) decay nor evidence for LE-CT hybridization. In agreement with this conclusion, transient absorption spectroscopy consistently reveals that a smaller ΔIE slows the NFA exciton dissociation into free charges, albeit restorable by an electric field. Our experimental data align with Marcus theory calculations, supported by density functional theory simulations, for zero-field free charge generation and exciton decay efficiencies. We conclude that efficient photocurrent generation generally requires that the CT state is located below the LE, but that this restriction is lifted in systems with a small reorganization energy for charge transfer.

A novel dual-target Septin9 methylation assay for improved detection of early-stage colorectal cancer and high-grade intraepithelial neoplasia.

BACKGROUND: Colorectal cancer (CRC) ranks as the third most common malignancies in the world, and periodic examination of the patient is advantageous in reducing the mortality of CRC. The first blood-based Septin9 gene methylation assay which recognized by the US FDA for CRC examination was Epi proColon. However, this assay was not broadly applied in the current clinical guideline because of its relatively lower sensitivity in the detection of early-stage CRC. METHODS: This study aimed at developing a new multiplex Septin9 methylation assay (ColonUSK) which simultaneously evaluates two CpG-rich subregions in the promoter of the Septin9 gene and an internal control in a single reaction. ColonUSK proved increased sensitivity, with a detection limit as low as 12pg of the positive DNA compared with the Septin9 assay targeting one CpG-rich subregion. 1366 subjects were prospectively recruited from four comprehensive hospitals in China in an opportunistic screening study for assessing its value in CRC detection. Blind testing was developed to evaluate ColonUSK in comparison with clinical examination using clinical gold standard such as colonoscopy. RESULTS: The assay demonstrates clinical sensitivity for diagnosing colorectal cancer (CRC) and advanced adenoma at rates of 77.34% and 25.26%, respectively. Furthermore, ColonUSK exhibits a high degree of specificity for non-CRC cases (95.95%) clinically. Significantly, the detection rate of cases in high-grade intraepithelial neoplasia increased to 54.29%. The value for the assay in the Kappa test was 0.76, showing a high degree of consistency between ColonUSK and clinical gold standard. CONCLUSIONS: ColonUSK indicated moderate diagnostic value and could become a non-invasive detection way for CRC. The implementation of the ColonUSK assay has the capacity to markedly enhance CRC screening practices.

Network pharmacology-based analysis on the key mechanisms of Yiguanjian acting on chronic hepatitis.

Chronic hepatitis (CH) encompasses a prevalent array of liver conditions that significantly contribute to global morbidity and mortality. Yiguanjian (YGJ) is a classical traditional Chinese medicine with a long history of medicinal as a treatment for CH. Although it has been reported that YGJ can reduce liver inflammation, the intricate mechanism requires further elucidation. We used network pharmacology approaches in this work, such as gene ontology (GO) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, and network-based analysis of protein-protein interactions (PPIs), to clarify the pharmacological constituents, potential therapeutic targets, and YGJ signaling pathways associated with CH. Employing the random walk restart (RWR) algorithm, we identified GNAS, GNB1, CYP2E1, SFTPC, F2, MAPK3, PLG, SRC, HDAC1, and STAT3 as pivotal targets within the PPI network of YGJ-CH. YGJ attenuated liver inflammation and inhibited GNAS/STAT3 signaling in vivo. In vitro, we overexpressed the GNAS gene further to verify the critical role of GNAS in YGJ treatment. Our findings highlight GNAS/STAT3 as a promising therapeutic target for CH, providing a basis and direction for future investigations.

Extracellular vesicles derived from bone marrow mesenchymal stem cells ameliorate chronic liver damage via microRNA-136-5p.

Chronic liver damage (CLD) encompasses a spectrum of conditions and poses a significant global health challenge, affecting millions of individuals. Currently, there is a deficiency of clinically validated therapeutics with minimal side effects. Emerging evidence underscores the significant potential of extracellular vesicles derived from bone marrow mesenchymal stem cells (BMSC-EVs) as a promising therapeutic method for CLD. This study aimed to evaluate the influence of BMSC-EVs containing microRNA-136-5p (BMSC-EVs-miR-136-5p) on macrophage polarization during chronic liver injury and elucidate the mechanisms associated with the GNAS/PI3K/ERK/STAT3 axis. Surface markers of BMSCs were detected via Immunofluorescent Staining. Subsequently, EVs were harvested from the BMSC culture medium. In vivo fluorescence imaging was employed to locate the BMSC-EVs. Additionally, fluorescence microscopy was used to visualize the uptake of DIR-labeled BMSC-EVs by RAW264.7 cells. Various methods were employed to assess the impact of BMSC-EVs on the expression levels of inflammatory factors (IL-1ß, IL-6, IL-10, and TNF-α), M1/M2 macrophage markers (iNOS and Arg-1), and members of inflammation-related signaling pathways (GNAS, PI3K, ERK, and STAT3) in RAW264.7 cells co-cultured with BMSC-EVs. Loss-of-function approaches targeting miR-136-5p in RAW264.7 cells were subsequently utilized to validate the role of BMSC-EVs-miR-136-5p. The Luciferase Reporter Assay indicates that GNAS was identified to be a target of miR-136-5p, and miR-136-5p demonstrating increased within BMSC-EVs compared to Raw264.7-EVs. BMSC-EVs-miR-136-5p mitigated CCl4-induced liver inflammation and improved liver function by Suppressing the GNAS/STAT3 Signaling. Notably, miR-136-5p suppressed lipopolysaccharide (LPS)-induced inflammation in RAW264.7 cells. BMSC-EVs-miR-136-5p alleviates CLD by activating M2 polarization through the GNAS-mediated PI3K/ERK/STAT3 axis. Accordingly, the members of this axis may serve as therapeutic targets.

Adenylate kinase 4 promotes neuronal energy metabolism and mitophagy in early cerebral ischemia via Parkin/PKM2 pathway.

Mitochondrial dysfunction is closely related to brain injury and neurological dysfunction in ischemic stroke. Adenylate kinase 4 (AK4) plays a critical role in energy metabolism and mitochondrial homeostasis. However, the underlying mechanisms remain unclear. In the present study, we demonstrated an important role of AK4 in mitochondrial dysfunction in the early cerebral ischemia. Early focal cerebral ischemia induced decrease of AK4 protein expression in ischemic hemispheric brain tissue in mice. Exposure of cultured primary neuron to oxygen-glucose deprivation (OGD) also induced AK4 downregulation. Overexpression of AK4 in neuron using adeno-associated virus (AAV-AK4) in mice promoted neuronal survival reflected by decreased infarction volume and TUNEL staining. AK4 overexpression inhibited mitochondrial decline and downregulation of energy metabolism-associated proteins (p-AMPK and ATP1A3) induced by MCAO. Moreover, AK4 knock-in using lentivirus carried AK4 vector (LV-AK4) induced energy metabolism shift from glycolysis to oxidation in neuron. Using transmission electron microscope and western blot, we revealed that AK4 overexpression promoted mitophagy and mitophagy-associated proteins expression PINK1 and Parkin after MCAO. Mass spectrometry and co-immunoprecipitation revealed an interaction between AK4 and PKM2. Mechanistically, AK4 indirectly decreased PKM2 expression via enhancing its ubiquitination by increasing the interaction between PKM2 and its ubiquitin E3 ligase Parkin, and inhibits Parkin downregulation. In conclusion, our data demonstrate that AK4/ Parkin /PKM axis prevents cerebral ischemia damage via regulation of neuronal energy metabolism model and mitophagy. AK4 was a new target for intervention of early ischemic neuron injury.

Urine Metabolic Profiling for Rapid Lung Cancer Screening: A Strategy Combining Rh-Doped SrTiO3-Assisted Laser Desorption/Ionization Mass Spectrometry and Machine Learning.

Lung cancer ranks among the cancers with the highest global incidence rates and mortality. Swift and extensive screening is crucial for the early-stage diagnosis of lung cancer. Laser desorption/ionization mass spectrometry (LDI-MS) possesses clear advantages over traditional analytical methods for large-scale analysis due to its unique features, such as simple sample processing, rapid speed, and high-throughput performance. As n-type semiconductors, titanate-based perovskite materials can generate charge carriers under ultraviolet light irradiation, providing the capability for use as an LDI-MS substrate. In this study, we employ Rh-doped SrTiO3 (STO/Rh)-assisted LDI-MS combined with machine learning to establish a method for urine-based lung cancer screening. We directly analyzed urine metabolites from lung cancer patients (LCs), pneumonia patients (PNs), and healthy controls (HCs) without employing any pretreatment. Through the integration of machine learning, LCs are successfully distinguished from HCs and PNs, achieving impressive area under the curve (AUC) values of 0.940 for LCs vs HCs and 0.864 for LCs vs PNs. Furthermore, we identified 10 metabolites with significantly altered levels in LCs, leading to the discovery of related pathways through metabolic enrichment analysis. These results suggest the potential of this method for rapidly distinguishing LCs in clinical applications and promoting precision medicine.

Semitransparent Organic Photovoltaics Utilizing Intrinsic Charge Generation in Non-Fullerene Acceptors.

In organic semiconductors, a donor/acceptor heterojunction is typically required for efficient dissociation of excitons. Using transient absorption spectroscopy to study the dynamics of excited states in non-fullerene acceptors (NFAs), it is shown that NFAs can generate charges without a donor/acceptor interface. This is due to the fact that dielectric solvation provides a driving force sufficient to dissociate the excited state and form the charge-transfer (CT) state. The CT state is further dissociated into free charges at interfaces between polycrystalline regions in neat NFAs. For IEICO-4F, incorporating just 9 wt% donor polymer PTB7-Th in neat films greatly boosts charge generation, enhancing efficient exciton separation into free charges. This property is utilized to fabricate donor-dilute organic photovoltaics (OPV) delivering a power conversion efficiency of 8.3% in the case of opaque devices with a metal top-electrode and an active layer average visible transmittance (AVT) of 75%. It is shown that the intrinsic charge generation in low-bandgap NFAs contributes to the overall photocurrent generation. IEICO-4F-based OPVs with limited PTB7-Th content have high thermal resilience demonstrating little drop in performance over 700 h. PTB7-Th:IEICO-4F semitransparent OPVs are leveraged to fabricate an 8-series connected semitransparent module, demonstrating light-utilization efficiency of 2.2% alongside an AVT of 63%.

Stable isotope-assisted mass spectrometry reveals in vivo distribution, metabolism, and excretion of tire rubber-derived 6PPD-quinone in mice.

6PPD-quinone (6PPD-Q) has been identified as a ubiquitous contaminant in the surrounding locality, including air particles, roadside soils, dust, and water. Recently, the prevalence of 6PPD-Q in human urine has accentuated the urgency for investigating its biological fate. To address this, we conducted a stable isotope-assisted high-resolution mass spectrometry (HRMS) assay to unveil the distribution, metabolism, excretion, and toxicokinetic properties of this contaminant in a mouse model. Mice were fed with a single dose of deuterated 6PPD-Q-d5 at human-relevant exposure levels. Results indicated that 6PPD-Q was quickly assimilated and distributed into bloodstream and main organs of mice, with the concentrations reaching peaks under 1 h following administration. Notably, 6PPD-Q was primarily distributed in the adipose tissue, marked by a significant Cmax (p < 0.05), followed by the kidney, lung, testis, liver, spleen, heart, and muscle. In addition, our measurement demonstrated that 6PPD-Q can penetrate the blood-brain barrier of mice within 0.5 h after exposure. The half-lives (t1/2) of 6PPD-Q in serum, lung, kidney, and spleen of mice were measured at 12.7 ± 0.3 h, 20.7 ± 1.4 h, 21.6 ± 5.3 h, and 20.6 ± 2.8 h, respectively. Using HRMS combined with isotope tracing techniques, two novel hydroxylated metabolites of 6PPD-Q in the mice liver were identified for the first time, which provides new insights into its rapid elimination in-vivo. Meanwhile, fecal excretion was identified as the main excretory pathway for 6PPD-Q and its hydroxylated metabolites. Collectively, our findings extend the current knowledge on the biological fate and exposure status of 6PPD-Q in a mouse model, which has the potential to be extrapolated to humans.

6PPD-quinone exposure induces neuronal mitochondrial dysfunction to exacerbate Lewy neurites formation induced by α-synuclein preformed fibrils seeding.

The emerging toxicant N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine quinone (6PPD-Q) is of wide concern due to its ubiquitous occurrence and high toxicity. Despite regular human exposure, limited evidence exists about its presence in the body and potential health risks. Herein, we analyzed cerebrospinal fluid (CSF) samples from Parkinson's disease (PD) patients and controls. The CSF levels of 6PPD-Q were twice as high in PD patients compared to controls. Immunostaining assays performed with primary dopaminergic neurons confirm that 6PPD-Q at environmentally relevant concentrations can exacerbate the formation of Lewy neurites induced by α-synuclein preformed fibrils (α-syn PFF). Assessment of cellular respiration reveals a considerable decrease in neuronal spare respiratory and ATP-linked respiration, potentially due to changes in mitochondrial membrane potential. Moreover, 6PPD-Q-induced mitochondrial impairment correlates with an upsurge in mitochondrial reactive oxygen species (mROS), and Mito-TEMPO-driven scavenging of mROS can lessen the amount of pathologic phospho-serine 129 α-synuclein. Untargeted metabolomics provides supporting evidence for the connection between 6PPD-Q exposure and changes in neuronal metabolite profiles. In-depth targeted metabolomics further unveils an overall reduction in glycolysis metabolite pool and fluctuations in the quantity of TCA cycle intermediates. Given its potentially harmful attributes, the presence of 6PPD-Q in human brain could potentially be a risk factor for PD.

MMP-2-mediated Scube2 degradation promotes blood-brain barrier disruption by blocking the interaction between astrocytes and endothelial cells via inhibiting Sonic hedgehog pathway during early cerebral ischemia.

We have previously demonstrated a rapid secretion of matrix metalloproteinase-2 (MMP-2) in the ischemic brain. Since Scube2 can interact with Sonic hedgehog (Shh) to maintain blood-brain barrier (BBB) integrity via regulating the interaction between brain capillary endothelial cells (ECs) and perivascular astrocytes, and it is also a substrate of MMP-2, we hypothesized that the secreted MMP-2 could degrade Scube2 and contribute to ischemic BBB disruption. Using an in vitro ischemic model of 90-min oxygen-glucose deprivation/3-h reoxygenation (OGD/R) and an in vivo mouse stroke model of 90-min middle cerebral artery occlusion (MCAO) with 3-h reperfusion, we established an important role of MMP-2-mediated Scube2 degradation in early ischemic BBB disruption. Exposure of C8-D1A cells and bEnd.3 cells to OGD/R increased MMP secretion in both cells, and C8-D1A cells appeared to secrete more MMPs than bEnd.3 cells. Co-IP and double-immunostaining revealed that Scube2 co-localized well with MMP-2 in C8-D1A cells and could be pulled down by MMP-2 antibodies. In MCAO mice, Scube2 protein showed a drastic reduction in ischemic brain tissue, which was accompanied by suppressed expression of Shh and its downstream molecules. Of note, specific knockdown of astrocytic Scube2 with AAV-shScube2 augmented MCAO-induced Shh suppression and exacerbated BBB leakage and inflammatory reactions in the ischemic brain. Last, incubation of bEnd.3 cells with conditioned medium derived from OGD-treated C8-D1A cells led to a significant inhibition of the Shh pathway in bEnd.3 cells and degradation of VE-cadherin and ZO-1. Inhibition of MMP-2 with SB-3CT or over-expression of Scube2 with plasmids in C8-D1A cells alleviated the above effect of C8-D1A cells-derived conditioned medium. Taken together, our data indicate that ischemia-induced secretion of MMP-2 may contribute to early BBB disruption in ischemic stroke via interrupting the shared Scube2-Shh pathway between brain capillary ECs and perivascular astrocytes.

Simultaneous quantification of total and free testosterone in human serum by LC-MS/MS.

Testosterone (TTe) and free testosterone (FTe) are clinically important indicators for the diagnosis of androgen disorders, so accurate quantitative determination of them in serum is clinically of paramount significance. Currently, there is no available method suitable for routine and simultaneous measurement of TTe and FTe. Here, we developed a new UPLC-MS/MS method to quantify serum TTe and FTe simultaneously and accurately. Rapid equilibrium dialysis was used to obtain FTe in serum followed by derivatization with hydroxylamine hydrochloride. With these strategies, TTe and FTe could be measured in single injection. After optimizing the extraction and derivatization conditions, the performance of LC-MS/MS was evaluated and applied to quantify the levels of TTe and FTe in clinical samples from 42 patients. The assays were linear for TTe within the range of 0.2-30 ng/mL and for FTe within the range of 1.5-1000 pg/mL. This improved method provided a limit of quantification for TTe of 0.2 ng/mL and for FTe of 1.5 pg/mL. The intra- and inter-run CVs were less than 4.3% and 3.6% for TTe and less than 8.2% and 6.7% for FTe, respectively. The intra- and inter-run accuracies for both TTe and FTe were in the range of 96.1-108.1%. Interference, carryover effect, and matrix effect were in acceptable range. In conclusion, our new LC-MS/MS method is simple to perform and can serve as a reliable method for simultaneous determination of TTe and FTe in clinical practice, providing important information for diagnosis, treatment, and monitoring of androgen-related diseases.

Correction: Machine learning encodes urine and serum metabolic patterns for autoimmune disease discrimination, classification and metabolic dysregulation analysis.

Correction for 'Machine learning encodes urine and serum metabolic patterns for autoimmune disease discrimination, classification and metabolic dysregulation analysis' by Qiuyao Du et al., Analyst, 2023, https://doi.org/10.1039/d3an01051a.

Machine learning encodes urine and serum metabolic patterns for autoimmune disease discrimination, classification and metabolic dysregulation analysis.

There is a wide variety of autoimmune diseases (ADs) with complex pathogenesis and their accurate diagnosis is difficult to achieve because of their vague symptoms. Metabolomics has been proven to be an efficient tool in the analysis of metabolic disorders to provide clues about the mechanism and diagnosis of diseases. Previous studies of the metabolomics analysis of ADs were not competent in their discrimination. Herein, a liquid chromatography tandem mass spectrometry (LC-MS) strategy combined with machine learning is proposed for the discrimination and classification of ADs. Urine and serum samples were collected from 267 subjects consisting of 127 healthy controls (HC) and 140 AD patients, including those with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), sicca syndrome (SS), ankylosing spondylitis (AS), systemic scleroderma (SSc) and connective tissue disease (CTD). Machine learning algorithms were encoded for the discrimination and classification of ADs with metabolomic patterns obtained by LC-MS, and satisfactory results were achieved. Notably, urine samples exhibited higher accuracy for disease differentiation and triage than serum samples. Apart from that, differential metabolites were selected and metabolite panels were evaluated to demonstrate their representativeness. Metabolic dysregulations were also investigated to gain more knowledge about the pathogenesis of ADs. This research provides a promising method for the application of metabolomics combined with machine learning in precision medicine.

Urine and serum metabolic profiling combined with machine learning for autoimmune disease discrimination and classification.

Precision diagnosis and classification of autoimmune diseases (ADs) is challenging due to the obscure symptoms and pathological causes. Biofluid metabolic analysis has the potential for disease screening, in which high throughput, rapid analysis and minimum sample consumption must be addressed. Herein, we performed metabolomic profiling by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) in urine and serum samples. Combined with machine learning (ML), metabolomic patterns from urine achieved the discrimination and classification of ADs with high accuracy. Furthermore, metabolic disturbances among different ADs were also investigated, and provided information of etiology. These results demonstrated that urine metabolic patterns based on MALDI-MS and ML manifest substantial potential in precision medicine.

Nicotine Treatment Ameliorates Blood-Brain Barrier Damage After Acute Ischemic Stroke by Regulating Endothelial Scaffolding Protein Pdlim5.

Analysis of a National Institutes of Health (NIH) trial shows that cigarette smoking protected tissue plasminogen activator (tPA)-treated patients from hemorrhage transformation (HT); however, the underlying mechanism is not clear. Damage to the integrity of the blood-brain barrier (BBB) is the pathological basis of HT. Here, we investigated the molecular events of BBB damage after acute ischemic stroke (AIS) using in vitro oxygen-glucose deprivation (OGD) and in vivo mice middle cerebral artery occlusion (MCAO) models. Our results showed that the permeability of bEND.3 monolayer endothelial cells was significantly increased after being exposed to OGD for 2 h. Mice were subjected to 90-min ischemia with 45-min reperfusion, and BBB integrity was significantly damaged, accompanied by tight junction protein occludin degradation, downregulation of microRNA-21 (miR-21), transforming growth factor-ß (TGF-ß), phosphorylated Smad (p-Smad), plasminogen activator inhibitor-1 (PAI-1), and the upregulation of PDZ and LIM domain protein 5 (Pdlim5), an adaptor protein that has been shown to regulate TGF-ß-Smad3 pathway. In addition, pretreatment with two-week nicotine significantly reduced AIS-induced BBB damage and its associated protein dysregulation via downregulating Pdlim5. Notably, AIS did not significantly induce BBB damage in Pdlim5 deficit mice, but overexpression of Pdlim5 in the striatum with adeno-associated virus produced BBB damage and associated protein dysregulation which could be ameliorated by two-week nicotine pretreatment. More important, AIS induced a significant miR-21 decrease, and miR-21 mimics treatment decreased AIS-induced BBB damage by decreasing Pdlim5. Together, these results demonstrate that nicotine treatment alleviates the AIS-compromised integrity of BBB by regulating Pdlim5.

α­thalassemia deletion [­SEA (Southeast Asian)] and a compound heterozygote for the Chinese Gγ+(Aγδß)0/ßCD17­thalassemia mutation: A case report.

In the present study, an α­thalassemia deletion [­SEA (Southeast Asian)] and a compound heterozygote for the Chinese Gγ+(Aγδß)0/ßCD17­thalassemia mutation in a 15­year­old girl was identified by gap­PCR, PCR­reverse dot­blot hybridization and multiplex ligation­dependent probe amplification. Molecular analysis indicated that the proband's father carried a hemoglobin subunit ß (HBB) heterozygous mutation in codon 17 (CD17; c.52A>T), the mother was a double heterozygous carrier of the Chinese Gγ+(Aγδß)0­thalassemia mutation combined with an ­SEA deletion, and the proband inherited both mutations from her mother and father, thus carrying the Chinese Gγ+(Aγδß)0/ßCD17­thalassemia combined with the­SEA deletion in a compound heterozygous state. The proband was diagnosed as severe thalassemia intermedia and experienced a clinical phenotype aggravation (severe anemia and splenomegaly) from no obvious clinical symptoms to being dependent on monthly blood transfusions.

An ab initio method on large sized molecular aggregate system: Predicting absorption spectra of crystalline organic semiconducting films.

Theoretical description of electronically excited states of molecular aggregates at an ab initio level is computationally demanding. To reduce the computational cost, we propose a model Hamiltonian approach that approximates the electronically excited state wavefunction of the molecular aggregate. We benchmark our approach on a thiophene hexamer, as well as calculate the absorption spectra of several crystalline non-fullerene acceptors, including Y6 and ITIC, which are known for their high power conversion efficiency in organic solar cells. The method qualitatively predicts the experimentally measured spectral shape, which can be further linked to the molecular arrangement in the unit cell.

Reduced bimolecular charge recombination in efficient organic solar cells comprising non-fullerene acceptors.

Bimolecular charge recombination is one of the most important loss processes in organic solar cells. However, the bimolecular recombination rate in solar cells based on novel non-fullerene acceptors is mostly unclear. Moreover, the origin of the reduced-Langevin recombination rate in bulk heterojunction solar cells in general is still poorly understood. Here, we investigate the bimolecular recombination rate and charge transport in a series of high-performance organic solar cells based on non-fullerene acceptors. From steady-state dark injection measurements and drift-diffusion simulations of the current-voltage characteristics under illumination, Langevin reduction factors of up to over two orders of magnitude are observed. The reduced recombination is essential for the high fill factors of these solar cells. The Langevin reduction factors are observed to correlate with the quadrupole moment of the acceptors, which is responsible for band bending at the donor-acceptor interface, forming a barrier for charge recombination. Overall these results therefore show that suppressed bimolecular recombination is essential for the performance of organic solar cells and provide design rules for novel materials.

N-glycomic profiling reveals dysregulated N-glycans of peripheral neuropathy in type 2 diabetes.

Given the increasing morbidity of diabetes mellitus type 2 (T2DM) with peripheral neuropathy (PN), efficient screening for T2DM-PN is of great significance. Altered N-glycosylation is closely associated with T2DM progression, whereas its association with T2DM-PN remains uncharacterized. In this study, N-glycomic profiling was performed to identify the N-glycan features between T2DM patients with (n = 39, T2DM-PN) and without PN (n = 36, T2DM-C). Another independent set of T2DM patients (n = 29 for both T2DM-C and T2DM-PN) were utilized to validate these N-glycomic features. There were 10 N-glycans varied significantly between T2DM-C and T2DM-PN (p < 0.05 and 0.7 < AUC < 0.9), of which T2DM-PN was associated with increased oligomannose and core-fucosylation of sialylated glycans, and decreased bisected mono-sialylated glycan. Notably, these results were validated by an independent set of T2DM-C and T2DM-PN. This is the first profiling for N-glycan features in T2DM-PN patients, which reliably differentiates them from T2DM controls, thus providing a prospective profile of glyco-biomarkers for the screening and diagnosis of T2DM-PN.

Functional and structural characterization of Norovirus GII.6 in recognizing histo-blood group antigens.

Noroviruses (NoVs) are the primary cause of acute gastroenteritis worldwide. Histo-blood group antigens (HBGAs) are receptors or attachment factors that affect the prevalence and host susceptibility of NoVs. GII.6 NoV is one of the predominant genotypes in humans, which recognizes the type ABO secretor of HBGAs. However, the structural basis of GII.6 NoV's interaction with HBGAs receptors remains elusive. In this study, we investigated the binding features of the GII.6 strain to HBGAs using saliva- and glycan-ELISA assays and characterized the molecular basis of the GII.6 virus that recognizes H disaccharide. We showed that the GII.6 â€‹P domain recognized some A and O secretor's saliva samples, most B secretor's saliva samples, and H disaccharide antigen, but did not bind non-secretors' saliva. Further, we determined the crystal structures of GII.6 and its complex with H disaccharides at 1.7 â€‹Å, revealing that the P domain of GII.6 shares the conventional binding interface and mode of GII HBGAs. Single residue mutations at the GII.6-H binding sites could inhibit the binding of GII.6 to HBGAs, demonstrating that the interaction residues were crucial in maintaining NoV-glycan integrity. Finally, structural and sequence analyses showed that the major residues of the GII.6-H interaction were conserved among NoVs in the GII genogroup. Taken together, our study characterized the functional and structural features of GII.6 that allow it to interact with HBGAs, and shed light on NoV evolution, epidemiology, and anti-viral drug development.