Detection of circulating plasma cells in peripheral blood using deep learning-based morphological analysis.

BACKGROUND: The presence of circulating plasma cells (CPCs) is an important laboratory indicator for the diagnosis, staging, risk stratification, and progression monitoring of multiple myeloma (MM). Early detection of CPCs in the peripheral blood (PB) followed by timely interventions can significantly improve MM prognosis and delay its progression. Although the conventional cell morphology examination remains the predominant method for CPC detection because of accessibility, its sensitivity and reproducibility are limited by technician expertise and cell quantity constraints. This study aims to develop an artificial intelligence (AI)-based automated system for a more sensitive and efficient CPC morphology detection. METHODS: A total of 137 bone marrow smears and 72 PB smears from patients with at Zhongshan Hospital, Fudan University, were retrospectively reviewed. Using an AI-powered digital pathology platform, Morphogo, 305,019 cell images were collected for training. Morphogo's efficacy in CPC detection was evaluated with additional 184 PB smears (94 from patients with MM and 90 from those with other hematological malignancies) and compared with manual microscopy. RESULTS: Morphogo achieved 99.64% accuracy, 89.03% sensitivity, and 99.68% specificity in classifying CPCs. At a 0.60 threshold, Morphogo achieved a sensitivity of 96.15%, which was approximately twice that of manual microscopy, with a specificity of 78.03%. Patients with CPCs detected by AI scanning had a significantly shorter median progression-free survival compared with those without CPC detection (18 months vs. 34 months, p< .01). CONCLUSIONS: Morphogo is a highly sensitive system for the automated detection of CPCs, with potential applications in initial screening, prognosis prediction, and posttreatment monitoring for MM patients. PLAIN LANGUAGE SUMMARY: Diagnosing and monitoring multiple myeloma (MM), a type of blood cancer, requires identifying and quantifying specific cells called circulating plasma cells (CPCs) in the blood. The conventional method for detecting CPCs is manual microscopic examination, which is time-consuming and lacks sensitivity. This study introduces a highly sensitive CPC detection method using an artificial intelligence-based system, Morphogo. It demonstrated remarkable sensitivity and accuracy, surpassing conventional microscopy. This advanced approach suggests that early and accurate CPC detection is achievable by morphology examination, making efficient CPC screening more accessible for patients with MM. This innovative system has the potential to be used in the diagnosis and risk assessment of MM.

Learning representations for gene ontology terms by jointly encoding graph structure and textual node descriptors.

Measuring the semantic similarity between Gene Ontology (GO) terms is a fundamental step in numerous functional bioinformatics applications. To fully exploit the metadata of GO terms, word embedding-based methods have been proposed recently to map GO terms to low-dimensional feature vectors. However, these representation methods commonly overlook the key information hidden in the whole GO structure and the relationship between GO terms. In this paper, we propose a novel representation model for GO terms, named GT2Vec, which jointly considers the GO graph structure obtained by graph contrastive learning and the semantic description of GO terms based on BERT encoders. Our method is evaluated on a protein similarity task on a collection of benchmark datasets. The experimental results demonstrate the effectiveness of using a joint encoding graph structure and textual node descriptors to learn vector representations for GO terms.

The arachidonic acid metabolome reveals elevation of prostaglandin E2 biosynthesis in colorectal cancer.

Arachidonic acid metabolites are a family of bioactive lipids derived from membrane phospholipids. They are involved in cancer progression, but arachidonic acid metabolite profiles and their related biosynthetic pathways remain uncertain in colorectal cancer (CRC). To compare the arachidonic acid metabolite profiles between CRC patients and healthy controls, quantification was performed using a liquid chromatography-mass spectrometry-based analysis of serum and tissue samples. Metabolomics analysis delineated the distinct oxidized lipids in CRC patients and healthy controls. Prostaglandin (PGE2)-derived metabolites were increased, suggesting that the PGE2 biosynthetic pathway was upregulated in CRC. The qRT-PCR and immunohistochemistry analyses showed that the expression level of PGE2 synthases, the key protein of PGE2 biosynthesis, was upregulated in CRC and positively correlated with the CD68+ macrophage density and CRC development. Our study indicates that the PGE2 biosynthetic pathway is associated with macrophage infiltration and progression of CRC tumors.

Human Skin-Mimicking Ionogel-Based Electronic Skin for Intelligent Robotic Sorting.

Creating bionic intelligent robotic systems that emulate human-like skin perception presents a considerable scientific challenge. This study introduces a multifunctional bionic electronic skin (e-skin) made from polyacrylic acid ionogel (PAIG), designed to detect human motion signals and transmit them to robotic systems for recognition and classification. The PAIG is synthesized using a suspension of liquid metal and graphene oxide nanosheets as initiators and cross-linkers. The resulting PAIGs demonstrate excellent mechanical properties, resistance to freezing and drying, and self-healing capabilities. Functionally, the PAIG effectively captures human motion signals through electromechanical sensing. Furthermore, a bionic intelligent sorting robot system is developed by integrating the PAIG-based e-skin with a robotic manipulator. This system leverages its ability to detect frictional electrical signals, enabling precise identification and sorting of materials. The innovations presented in this study hold significant potential for applications in artificial intelligence, rehabilitation training, and intelligent classification systems.

Glyco-signatures in patients with advanced lung cancer during anti-PD-1/PD-L1 immunotherapy.

Immune checkpoint inhibitors (ICIs) targeting programmed cell death 1/programmed cell death ligand-1 (PD-1/PD-L1) have significantly prolonged the survival of advanced/metastatic patients with lung cancer. However, only a small proportion of patients can benefit from ICIs, and clinical management of the treatment process remains challenging. Glycosylation has added a new dimension to advance our understanding of tumor immunity and immunotherapy. To systematically characterize anti-PD-1/PD-L1 immunotherapy-related changes in serum glycoproteins, a series of serum samples from 12 patients with metastatic lung squamous cell carcinoma (SCC) and lung adenocarcinoma (ADC), collected before and during ICIs treatment, are firstly analyzed with mass-spectrometry-based label-free quantification method. Second, a stratification analysis is performed among anti-PD-1/PD-L1 responders and non-responders, with serum levels of glycopeptides correlated with treatment response. In addition, in an independent validation cohort, a large-scale site-specific profiling strategy based on chemical labeling is employed to confirm the unusual characteristics of IgG N-glycosylation associated with anti-PD-1/PD-L1 treatment. Unbiased label-free quantitative glycoproteomics reveals serum levels' alterations related to anti-PD-1/PD-L1 treatment in 27 out of 337 quantified glycopeptides. The intact glycopeptide EEQFN 177STYR (H3N4) corresponding to IgG4 is significantly increased during anti-PD-1/PD-L1 treatment (FC=2.65, P=0.0083) and has the highest increase in anti-PD-1/PD-L1 responders (FC=5.84, P=0.0190). Quantitative glycoproteomics based on protein purification and chemical labeling confirms this observation. Furthermore, obvious associations between the two intact glycopeptides (EEQFN 177STYR (H3N4) of IgG4, EEQYN 227STFR (H3N4F1) of IgG3) and response to treatment are observed, which may play a guiding role in cancer immunotherapy. Our findings could benefit future clinical disease management.

All dissolvable and transient plasmonic device enabled by nanoimprint lithography.

Dissolvable and transient devices are important for environment-friendly disposal and information security. Similar to transient electronic devices, photonic devices use dissolvable metals such as magnesium and zinc to enable tunable plasmonic resonances. However, functional nanostructured substrates made of a common photoresist and a soft substrate are not dissolvable. In this study, we report the large-area, dissolvable polylactic-co-glycolic acid nanostructures formed by nanoimprint lithography and discuss the impact of the imprinting temperatures and ambient conditions on the formed nanostructures. The deposition of a thin layer of metal can yield a quasi-3D plasmonic device, and the choice of zinc metal can result in an all-dissolvable device in water over a few days. Consequently, the transmission spectra of these plasmonic devices could be tuned after placement in water. This strategy yields a truly transient nanophotonic device that can be degraded after performing its function for a specific period.

Magnetic seizure therapy for people with schizophrenia.

BACKGROUND: Schizophrenia is one of the most common and disabling mental disorders. About 20% of people with schizophrenia do not respond to antipsychotics, which are the mainstay of the treatment for schizophrenia today, and need to seek other treatment options. Magnetic seizure therapy (MST) is one of the novel non-invasive brain stimulation techniques that are being investigated in recent years.  OBJECTIVES: To evaluate the efficacy and tolerability of MST for people with schizophrenia. SEARCH METHODS: On 6 March 2022, we searched the Cochrane Schizophrenia Group's Study-Based Register of Trials which is based on CENTRAL, CINAHL, ClinicalTrials.Gov, Embase, ISRCTN, MEDLINE, PsycINFO, PubMed, and WHO ICTRP. SELECTION CRITERIA: All randomised controlled trials (RCTs) comparing MST alone or plus standard care with ECT or any other interventions for people with schizophrenia.  DATA COLLECTION AND ANALYSIS: We performed reference screening, study selection, data extraction and risk of bias and quality assessment in duplicate. We calculated the risk ratios (RRs) and their 95% confidence intervals (CIs) for binary outcomes and the mean difference (MD) and their 95% CIs for continuous outcomes. We used the original risk of bias tool for risk of bias assessment and created a Summary of findings table using GRADE. MAIN RESULTS: We included one four-week study with 79 adults in acute schizophrenia, comparing MST plus standard care to ECT plus standard care in this review. We rated the overall risk of bias as high due to high risk of bias in the domains of selective reporting and other biases (early termination and baseline imbalance) and unclear risk of bias in the domain of blinding of participants and personnel. We found that MST and ECT may not differ in improving the global state (n = 79, risk ratio (RR) 1.12, 95% confidence interval (CI) 0.73 to 1.70), overall (n = 79, mean difference (MD) -0.20, 95% CI -8.08 to 7.68), the positive symptoms (n = 79, MD 1.40, 95% CI -1.97 to 4.77) and the negative symptoms (n = 79, MD -1.00, 95% CI -3.85 to 1.85) in people with schizophrenia.  We found  that MST compared to ECT may cause less delayed memory deficit and less cognitive deterioration (n = 79, number of people with a delayed memory deficit, RR 0.63, 95% CI 0.41 to 0.96; n = 79, mean change in global cognitive function, MD 5.80, 95% CI 0.80 to 10.80), but also may improve more cognitive function (n = 47, number of people with any cognitive improvement, RR 3.30, 95% CI 1.29 to 8.47).  We found that there may be no difference between the two groups in terms of leaving the study early due to any reason (n = 79, RR 2.51, 95% CI 0.73 to 8.59), due to adverse effects (n = 79, RR 3.35, 95% CI 0.39 to 28.64) or due to inefficacy (n = 79, RR 2.52, 95% CI 0.11 to 60.10).  Since all findings were based on one study with high risk of bias and the confidence in the evidence was very low, we were not sure these comparable or favourable effects of MST over ECT were its true effects.  AUTHORS' CONCLUSIONS: Due to the paucity of data, we cannot draw any conclusion on the efficacy and tolerability of MST for people with schizophrenia. Well-designed RCTs are warranted to answer the question.

Prostate cancer-associated SPOP mutations lead to genomic instability through disruption of the SPOP-HIPK2 axis.

Speckle-type Poz protein (SPOP), an E3 ubiquitin ligase adaptor, is the most frequently mutated gene in prostate cancer. The SPOP-mutated subtype of prostate cancer shows high genomic instability, but the underlying mechanisms causing this phenotype are still largely unknown. Here, we report that upon DNA damage, SPOP is phosphorylated at Ser119 by the ATM serine/threonine kinase, which potentiates the binding of SPOP to homeodomain-interacting protein kinase 2 (HIPK2), resulting in a nondegradative ubiquitination of HIPK2. This modification subsequently increases the phosphorylation activity of HIPK2 toward HP1γ, and then promotes the dissociation of HP1γ from trimethylated (Lys9) histone H3 (H3K9me3) to initiate DNA damage repair. Moreover, the effect of SPOP on the HIPK2-HP1γ axis is abrogated by prostate cancer-associated SPOP mutations. Our findings provide new insights into the molecular mechanism of SPOP mutations-driven genomic instability in prostate cancer.

Analysis of clinical characteristics and prognosis of 68 patients with primary pulmonary choriocarcinoma.

BACKGROUND: Primary pulmonary choriocarcinoma (PPC) is a highly malignant intrapulmonary tumor with a notorious prognosis. Few clinical studies have been undertaken to investigate the clinical characteristics and prognosis of PPC. MATERIAL AND METHODS: We systematically conducted a retrospective analysis of patients with PPC in the literature published in PubMed and CNKI databases until March 31, 2022. The primary outcome was all-cause mortality. Survival curves were depicted using the Kaplan‒Meier method and compared using the stratified log-rank test. A Cox proportional hazards model was used to estimate the prognostic factors. RESULTS: A total of 68 patients were included, which consisted of 32 females and 36 males, with an average age of (44.5 ± 16.8) years old, ranging from 19 to 77 years. The clinical characteristics were mostly cough (49.2%), dyspnea (22.2%), hemoptysis (39.7%) and chest pain (39.7%). Kaplan‒Meier analysis showed that sex, age, hemoptysis, metastasis and treatment combining surgery with chemotherapy had a significant effect on survival. There were no effects on other outcomes. Furthermore, univariate and multivariable Cox regression analyses showed that the impact of the treatment combining surgery with chemotherapy on OS showed independent prognostic significance. CONCLUSION: PPC is a rare disease that lacks specific clinical features. Early diagnosis with optimal management is a significant goal. Surgery followed by adjuvant chemotherapy may be the best treatment for PPC.

Nuclear Condensation of CDYL Links Histone Crotonylation and Cystogenesis in Autosomal Dominant Polycystic Kidney Disease.

BACKGROUND: Emerging evidence indicates that epigenetic modulation of gene expression plays a key role in the progression of autosomal dominant polycystic kidney disease (ADPKD). However, the molecular basis for how the altered epigenome modulates transcriptional responses, and thereby disease progression in ADPKD, remains largely unknown. METHODS: Kidneys from control and ADPKD mice were examined for the expression of CDYL and histone acylations. CDYL expression and its correlation with disease severity were analyzed in a cohort of patients with ADPKD. Cdyl transgenic mice were crossed with Pkd1 knockout mice to explore CDYL's role in ADPKD progression. Integrated cistromic and transcriptomic analyses were performed to identify direct CDYL target genes. High-sensitivity mass spectrometry analyses were undertaken to characterize CDYL-regulated histone lysine crotonylations (Kcr). Biochemical analysis and zebrafish models were used for investigating CDYL phase separation. RESULTS: CDYL was downregulated in ADPKD kidneys, accompanied by an increase of histone Kcr. Genetic overexpression of Cdyl reduced histone Kcr and slowed cyst growth. We identified CDYL-regulated cyst-associated genes, whose downregulation depended on CDYL-mediated suppression of histone Kcr. CDYL assembled nuclear condensates through liquid-liquid phase separation in cultured kidney epithelial cells and in normal kidney tissues. The phase-separating capacity of CDYL was required for efficient suppression of locus-specific histone Kcr, of expression of its target genes, and of cyst growth. CONCLUSIONS: These results elucidate a mechanism by which CDYL nuclear condensation links histone Kcr to transcriptional responses and cystogenesis in ADPKD.

Prevalence of mental disorders among middle school students in Shaoxing, China.

BACKGROUND: In China, adolescents account for about a quarter of those treated for mental disorders each year, and adolescent mental health issues have become a social hotspot. Although several epidemiological surveys of mental disorders have been conducted in China, no study has yet focused on the prevalence of mental disorders among adolescents in a certain region of Zhejiang. METHODS: In the first stage, 8219 middle school students aged 12-18 years in a city of Zhejiang Province (Shaoxing) were screened with the mental health screening checklist. In the second stage, participants who screened positive were tested with the Mini International Neuropsychiatric Interview for Children and Adolescents (MINI-KID) and the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV). Then, the prevalence of mental disorders were calculated. RESULTS: The overall prevalence in this population was 12.4%, with prevalence rates exceeding 20% in both the 17- and 18-year-old age groups. The most common mental disorders were obsessive-compulsive disorder (OCD) (9.1%) and major depressive disorder (MDD) (8.9%). CONCLUSIONS: Mental disorders are common among middle school students, and girls are at higher risk than boys. As the most prevalent mental disorders, OCD and MDD should receive timely attention, especially for upper grade students.

A Novel LSTM-Based Machine Learning Model for Predicting the Activity of Food Protein-Derived Antihypertensive Peptides.

Food protein-derived antihypertensive peptides are a representative type of bioactive peptides. Several models based on partial least squares regression have been constructed to delineate the relationship between the structure and activity of the peptides. Machine-learning-based models have been applied in broad areas, which also indicates their potential to be incorporated into the field of bioactive peptides. In this study, a long short-term memory (LSTM) algorithm-based deep learning model was constructed, which could predict the IC50 value of the peptide in inhibiting ACE activity. In addition to the test dataset, the model was also validated using randomly synthesized peptides. The LSTM-based model constructed in this study provides an efficient and simplified method for screening antihypertensive peptides from food proteins.

Hepatotoxicity-Related Oxidative Modifications of Thioredoxin 1/Peroxiredoxin 1 Induced by Different Cadmium-Based Quantum Dots.

The hepatotoxicity of cadmium-based quantum dots (Cd-QDs) has become the focus with their extensive applications in biomedicine. Previous reports have demonstrated that high oxidative stress and consequent redox imbalance play critical roles in their toxicity mechanisms. Intracellular antioxidant proteins, such as thioredoxin 1 (Trx1) and peroxiredoxin 1 (Prx1), could regulate redox homeostasis through thiol-disulfide exchange. Herein, we hypothesized that the excessive reactive oxygen species (ROS) induced by Cd-QD exposure affects the functions of Trx1 or Prx1, which further causes abnormal apoptosis of liver cells and hepatotoxicity. Thereby, three types of Cd-QDs, CdS, CdSe, and CdTe QDs, were selected for conducting an intensive study. Under the same conditions, the H2O2 level in the CdTe QD group was much higher than that of CdS or CdSe QDs, and it also corresponded to the higher hepatotoxicity. Mass spectrometry (MS) results show that excessive H2O2 leads to sulfonation modification (-SO3H) at the active sites of Trx1 (Cys32 and Cys35) and Prx1 (Cys52 and Cys173). The irreversible oxidative modifications broke their cross-linking with the apoptosis signal-regulating kinase 1 (ASK1), resulting in the release and activation of ASK1, and activation of the downstream JNK/p38 signaling finally promoted liver cell apoptosis. These results highlight the key effect of the high oxidative stress, which caused irreversible oxidative modifications of Trx1 and Prx1 in the mechanisms involved in Cd-QD-induced hepatotoxicity. This work provides a new perspective on the hepatotoxicity mechanisms of Cd-QDs and helps design safe and reliable Cd-containing nanoplatforms.

Regime transition Shapes the Composition, Assembly Processes, and Co-occurrence Pattern of Bacterioplankton Community in a Large Eutrophic Freshwater Lake.

At certain nutrient concentrations, shallow freshwater lakes are generally characterized by two contrasting ecological regimes with disparate patterns of biodiversity and biogeochemical cycles: a macrophyte-dominated regime (MDR) and a phytoplankton-dominated regime (PDR). To reveal ecological mechanisms that affect bacterioplankton along the regime shift, Illumina MiSeq sequencing of the 16S rRNA gene combined with a novel network clustering tool (Manta) were used to identify patterns of bacterioplankton community composition across the regime shift in Taihu Lake, China. Marked divergence in the composition and ecological assembly processes of bacterioplankton community was observed under the regime shift. The alpha diversity of the bacterioplankton community consistently and continuously decreased with the regime shift from MDR to PDR, while the beta diversity presents differently. Moreover, as the regime shifted from MDR to PDR, the contribution of deterministic processes (such as environmental selection) to the assembly of bacterioplankton community initially decreased and then increased again as regime shift from MDR to PDR, most likely as a consequence of differences in nutrient concentration. The topological properties, including modularity, transitivity and network diameter, of the bacterioplankton co-occurrence networks changed along the regime shift, and the co-occurrences among species changed in structure and were significantly shaped by the environmental variables along the regime transition from MDR to PDR. The divergent environmental state of the regimes with diverse nutritional status may be the most important factor that contributes to the dissimilarity of bacterioplankton community composition along the regime shift.

Valuation of ecosystem damage induced by soil-groundwater pollution in an arid climate area: Framework, method and case study.

Groundwater is an important source of water, even the only source in some arid areas. However, climate changing and ecosystem damage induced by pollution aggravate water resource crisis. The "polluter pays" principle is deeply rooted in efforts to manage the polluted sites, particularly in the soil-groundwater environment. Unfortunately, there is no ecosystem damage compensation mechanism generally accepted by all stakeholders. In this study, we establish an assessment framework and valuation methods for ecosystem damage induced by soil-groundwater pollution in an arid climate area based on a "pollution source → target (soil-groundwater) → receptor (humans, animals, and plants) → damages → stakeholders (human society and ecosystem)" model that is usually applied in groundwater risk assessment research. Five economic loss are included in the valuation methods: (1) human health loss, (2) emergency disposal cost, (3) direct economic loss, (4) ecological restoration cost, and (5) ecosystem services loss. We apply the framework to a case study in an arid climate area, northwest China and calculate the total economic loss from ecosystem damage in the case study at 12.6 million yuan. The largest proportion of the total loss was the ecological restoration cost (85.6%), followed by the emergency disposal cost (11.2%), and finally ecosystem services loss (3.2%). Valuation of ecosystem damage from environmental pollution is essentially a socioeconomic issue. This study supplies a new framework and methods for valuing ecosystem damage induced by pollution, and offers suggestions for environmental management to reduce the damage caused by soil-groundwater pollution to health and ecosystems.

Living arrangement modifies the associations of loneliness with adverse health outcomes in older adults: evidence from the CLHLS.

BACKGROUND: Although it has been suggested that loneliness is a risk factor for adverse health outcomes, living arrangement may confound the association. This study aimed to investigate whether the associations of loneliness with adverse health outcomes differ in community-dwelling older adults according to different living arrangements. METHODS: In the 2008/2009 wave of Chinese Longitudinal Healthy Longevity Survey, 13,738 community-dwelling older adults (≥65 years) were included for analyses. Living arrangements and loneliness were assessed. Health outcomes including cognitive and physical functions were assessed using MMSE, ADL/IADL scales and Frailty Index in the 2008/2009 and 2011/2012 waves; mortality was assessed in the 3-year follow-up from 2008/2009 to 2011/2012. The effect modificaitons of loneliness on adverse health outcomes by living arrangements were estimated using logistic regression or Cox proportional hazards regression models. RESULTS: Living alone older adults were significantly more likely to be lonely at baseline (52% vs 29.5%, OR = 1.90, 95% CI = 1.67-2.16, P < 0.001), compared with those living with others. Loneliness in older adults was a significant risk factor for prevalent cognitive impairment and frailty, and 3-year mortality, especially among those who lived with others (OR = 1.32, 95% CI = 1.15-1.52, P < 0.001; OR = 1.39, 95% CI = 1.24-1.57, P < 0.001; HR = 1.14, 95% CI = 1.05-1.24, P = 0.002, respectively). In contrast, among the living alone older adults, loneliness was only significantly associated with higher prevalence of frailty (OR = 1.42, 95% CI = 1.07-1.90, P = 0.017). Living arrangement significantly modified the associations of loneliness with prevalent cognitive impairment and 3-year mortality (P values for interaction = 0.005 and 0.026, respectively). CONCLUSIONS: Living arrangement modifies the associations of loneliness with adverse health outcomes in community-dwelling older adults, and those who lived with others but felt lonely had worse cognitive and physical functions as well as higher mortality. Special attention should be paid to this population and more social services should be developed to reduce adverse health outcomes, in order to improve their quality of life and promote successful aging.

Relative Quantification of N-Glycopeptide Sialic Acid Linkage Isomers by Ion Mobility Mass Spectrometry.

Sialic acids decorate the surface of glycoproteins and play important roles in a variety of pathological processes. Although the mass spectrometry (MS) based linkage-specific analysis of sialylated N-glycopeptide is developing rapidly, quantitative analysis of these isomers still remains a challenge. Herein, we reported a novel quantitative strategy that can unambiguously identify and relatively quantify linkage-specific N-glycopeptides using ion mobility mass spectrometry (IM-MS). Without the assistance of derivatization, this method can relatively quantify sialic acid isomers of intact glycopeptides by using their characteristic fragment ions in IM-MS. Moreover, good linearity (R2 > 0.99) of relative quantification within a dynamic range of 2 orders of magnitude and high reproducibility (coefficient of variation (CV) < 10%, n = 3) were demonstrated. Finally, our results illustrated the aberrant sialylation of haptoglobin (Hp) in hepatocellular carcinoma (HCC), where the ratios of α2,3 to α2,6 sialylation of seven N-glycopeptides were found to be significantly altered (p < 0.01) in HCC individuals (n = 27) compared with healthy controls (n = 27).

SPOP suppresses testicular germ cell tumors progression through ubiquitination and degradation of DPPA2.

Dysregulation of the ubiquitin-proteasome pathway is strongly associated with cancer initiation and progression. Speckle-type POZ(pox virus and zinc finger protein) protein(SPOP) is an adapter protein of CUL3-based E3 ubiquitin ligase complexes. Gene expression profiling from the Cancer Genome Atlas (TCGA) suggests that SPOP is downregulated in testicular germ cell tumors (TGCTs), but the specific contribution of this protein remains to be explored. In this study, we show that the germ line-specific factor DPPA2 was identified as a proteolytic substrate for the SPOP-CUL3-RBX1 E3 ubiquitin-ligase complex. SPOP specifically binds to a SPOP-binding consensus (SBC) degron located in DPPA2 and targets DPPA2 for degradation via the ubiquitin-proteasome pathway. SPOP downregulation increases the expression of pluripotency markers OCT4 and Nanog but decreases that of early differentiation marker gene Fst. This effect is partly dependent on its activity toward DPPA2. In addition, the dysregulation of SPOP-DPPA2 axis contributes to the malignant transformation phenotypes of TGCT cells.

Biogeographic patterns of abundant and rare bacterial and microeukaryotic subcommunities in connected freshwater lake zones subjected to different levels of nutrient loading.

AIMS: To reveal whether the patterns of abundant and rare subcommunity composition of both bacteria and microeukaryotes vary between connected regions with different levels of nutrient loading in freshwater lakes. METHODS AND RESULTS: We investigated the abundant and rare subcommunity composition of both bacteria and microeukaryotes in two connected zones (Meiliang Bay (MLB) and Xukou Bay (XKB)) of a large shallow freshwater Lake Taihu via the high-throughput sequencing of bacterial 16S rRNA and microeukaryotic 18S rRNA genes. Even though these two lake zones are connected and share a species bank, they diverge in community composition. Significantly higher alpha diversity was observed for the abundant bacterial subcommunity in the MLB. However, no significant difference in alpha diversity between the rare bacterial subcommunities, as well as both rare and abundant microeukaryotic subcommunities were observed between MLB and XKB. It is demonstrated that both environmental factors and geographic distance play central roles in controlling the rare and abundant microbial subcommunities in the two connected lake zones. CONCLUSIONS: The abundant subcommunity composition of bacteria and microeukaryotes vary between connected regions with different levels of nutrient loading. Dispersal limitation plays a vital role in shaping microbial communities even in connected zones of freshwater lakes. SIGNIFICANCE AND IMPACT OF THE STUDY: Leading to a comprehensive understanding of the characteristics of microbial community in connected lake regions with different levels of nutrient loading.

Magnetic seizure therapy for treatment-resistant depression.

BACKGROUND: Magnetic seizure therapy (MST) is a potential alternative to electroconvulsive therapy (ECT). Reports to date on use of MST for patients with treatment-resistant depression (TRD) are limited. OBJECTIVES: To evaluate the effects of MST in comparison with sham-MST, antidepressant, and other forms of electric or magnetic treatment for adults with TRD. SEARCH METHODS: In March 2020, we searched a wide range of international electronic sources for published, unpublished, and ongoing studies. We handsearched the reference lists of all included studies and relevant systematic reviews and conference proceedings of the Annual Meeting of the American College of Neuropsychopharmacology (ACNP), the Annual Scientific Convention and Meeting, and the Annual Meeting of the European College of Neuropsychopharmacology (ECNP) to identify additional studies. SELECTION CRITERIA: All randomised clinical trials (RCTs) focused on MST for adults with TRD. DATA COLLECTION AND ANALYSIS: Two review authors extracted data independently. For binary outcomes, we calculated risk ratios (RRs) and 95% confidence intervals (CIs). For continuous data, we estimated mean differences (MDs) between groups and 95% CIs. We employed a random-effects model for analyses. We assessed risk of bias for included studies and created a 'Summary of findings' table using the GRADE approach. Our main outcomes of interest were symptom severity, cognitive function, suicide, quality of life, social functioning, dropout for any reason, serious adverse events, and adverse events that led to discontinuation of treatment. MAIN RESULTS: We included three studies (65 participants) comparing MST with ECT. Two studies reported depressive symptoms with the Hamilton Rating Scale for Depression (HAMD). However, in one study, the data were skewed and there was an imbalance in baseline characteristics. Analysis of these two studies showed no clear differences in depressive symptoms between treatment groups (MD 0.71, 95% CI -2.23 to 3.65; 2 studies, 40 participants; very low-certainty evidence). Two studies investigated multiple domains of cognitive function. However most of the outcomes were not measured by validated neuropsychological tests, and many of the data suffered from unbalanced baseline and skewed distribution. Analysis of immediate memory performance measured by the Wechsler Memory Scale showed no clear differences between treatment groups (MD 0.40, 95% CI -4.16 to 4.96; 1 study, 20 participants; very low-certainty evidence). Analysis of delayed memory performance measured by the Wechsler Memory Scale also showed no clear differences between treatment groups (MD 2.57, 95% CI -2.39 to 7.53; 1 study, 20 participants; very low-certainty evidence). Only one study reported quality of life, but the data were skewed and baseline data were unbalanced across groups. Analysis of quality of life showed no clear differences between treatment groups (MD 14.86, 95% CI -42.26 to 71.98; 1 study, 20 participants; very low-certainty evidence). Only one study reported dropout and adverse events that led to discontinuation of treatment. Analysis of reported data showed no clear differences between treatment groups for this outcome (RR 1.38, 95% CI 0.28 to 6.91; 1 study, 25 participants; very low-certainty evidence). Adverse events occurred in only two participants who received ECT (worsening of preexisting coronary heart disease and a cognitive adverse effect). None of the included studies reported outcomes on suicide and social functioning. No RCTs comparing MST with other treatments were identified. AUTHORS' CONCLUSIONS: Evidence regarding effects of MST on patients with TRD is currently insufficient. Our analyses of available data did not reveal clearly different effects between MST and ECT. We are uncertain about these findings because of risk of bias and imprecision of estimates. Large, long, well-designed, and well-reported trials are needed to further examine the effects of MST.