AGImpute: imputation of scRNA-seq data based on a hybrid GAN with dropouts identification.

MOTIVATION: Dropout events bring challenges in analyzing single-cell RNA sequencing data as they introduce noise and distort the true distributions of gene expression profiles. Recent studies focus on estimating dropout probability and imputing dropout events by leveraging information from similar cells or genes. However, the number of dropout events differs in different cells, due to the complex factors, such as different sequencing protocols, cell types, and batch effects. The dropout event differences are not fully considered in assessing the similarities between cells and genes, which compromises the reliability of downstream analysis. RESULTS: This work proposes a hybrid Generative Adversarial Network with dropouts identification to impute single-cell RNA sequencing data, named AGImpute. First, the numbers of dropout events in different cells in scRNA-seq data are differentially estimated by using a dynamic threshold estimation strategy. Next, the identified dropout events are imputed by a hybrid deep learning model, combining Autoencoder with a Generative Adversarial Network. To validate the efficiency of the AGImpute, it is compared with seven state-of-the-art dropout imputation methods on two simulated datasets and seven real single-cell RNA sequencing datasets. The results show that AGImpute imputes the least number of dropout events than other methods. Moreover, AGImpute enhances the performance of downstream analysis, including clustering performance, identifying cell-specific marker genes, and inferring trajectory in the time-course dataset. AVAILABILITY AND IMPLEMENTATION: The source code can be obtained from https://github.com/xszhu-lab/AGImpute.

JLONMFSC: Clustering scRNA-seq data based on joint learning of non-negative matrix factorization and subspace clustering.

The development of single cell RNA sequencing (scRNA-seq) has provided new perspectives to study biological problems at the single cell level. One of the key issues in scRNA-seq data analysis is to divide cells into several clusters for discovering the heterogeneity and diversity of cells. However, the existing scRNA-seq data are high-dimensional, sparse, and noisy, which challenges the existing single-cell clustering methods. In this study, we propose a joint learning framework (JLONMFSC) for clustering scRNA-seq data. In our method, the dimension of the original data is reduced to minimize the effect of noise. In addition, the graph regularized matrix factorization is used to learn the local features. Further, the Low-Rank Representation (LRR) subspace clustering is utilized to learn the global features. Finally, the joint learning of local features and global features is performed to obtain the results of clustering. We compare the proposed algorithm with eight state-of-the-art algorithms for clustering performance on six datasets, and the experimental results demonstrate that the JLONMFSC achieves better performance in all datasets. The code is avalable at https://github.com/lanbiolab/JLONMFSC.

Metasurfaces enabled polarization-multiplexing heralded single photon imaging.

Quantum imaging has non-negligible advantages in terms of sensitivity, signal-to-noise ratio, and novel imaging schemes. Based on metasurfaces, the information density and stability of the quantum imaging system can be further improved. Here we experimentally demonstrate that two patterns, simultaneously and independently superimposed on a high-efficiency dielectric metasurface, can be remotely switched via polarization-entangled photon pairs. Furthermore, using the time-correlated property of entangled photon pairs, the information carried by quantum light can be remarkably discriminated from background noise. This work confirms that the phase manipulation of quantum light with metasurfaces has a huge potential in the field of quantum imaging, quantum state tomography, and also promises real-world quantum metasurface devices.

The effect of incisional negative pressure wound therapy on the improvement of postoperative cosmetic suture wounds and scar hyperplasia.

This study aimed to explore the effects of early incisional negative pressure wound therapy (INPWT) on cosmetic suture wounds and postoperative scar hyperplasia. We retrospectively evaluated 120 patients who underwent abdominoperineal resection at the Changhai Hospital between February 2018 and October 2021 and divided them into two groups according to their treatment: the INPWT group (n = 60) and the control group (n = 60). The quality of post-surgical wound healing in the two groups was evaluated. The Patient Scar Assessment Scale (PSAS), the Vancouver Scar Scale (VSS), and the visual analogue scale (VAS) were used to evaluate the surgical incision scar at 1-year follow-up. At this follow-up visit, 115 patients underwent reexamination; five patients were lost to follow-up, including two patients in the INPWT group and three patients in the control group. The INPWT group showed better wound healing than the control group (P < .05). The proportion of patients who received INPWT was significantly higher in the non-surgical site infection (SSI) group than in the SSI group (P < .05). The PSAS, VSS and VAS scores were significantly improved in the INPWT group compared with those in the control group (P < .05). Our results show that INPWT improved the quality of cosmetic suture wounds and reduced the degree of postoperative scar hyperplasia.

Establishing construct validity of neuropsychological tests in cancer survivors.

OBJECTIVE: Cancer-related cognitive impairments (CRCI) are frequently reported among cancer survivors, and attention is the most frequently assessed cognitive domain in CRCI. However, there is no consensus as to whether attention is impaired. We suggest that a major reason for this lack of agreement is a lack of construct validity for neuropsychological attention tests. We propose to assess the construct validity of neuropsychological attention tests with respect to experimental paradigms from cognitive psychology. METHODS: Self-reported cancer survivors (N = 314) completed an online battery comprising six experimental attention paradigms and eight neuropsychological tests. Confirmatory factor analysis was used to evaluate the fit of five models derived from a general population sample (N = 636) in a previous study (M. Treviño, Cogn Res Princ Implic, in press). We then subjected the best-fitting model to a measurement invariance analysis. RESULTS: The best-fitting model was a six intercorrelated factor structure, comprising Capacity, Search, Digit Span, Arithmetic, Sustained Attention, and Flanker Interference factors. Configural and weak invariance held, indicating that the factor loadings were invariant across groups. Strong invariance, indicating that intercepts were also invariant, held except for the Approximate Number Sense test. CONCLUSIONS: According to our factor model, Spatial Span and Digit Symbol Coding measure attentional capacity, while the Trail Making Test (A&B) and Letter Cancellation tests measure visual search ability. However, Digit Span and Arithmetic tests do not measure attention. We hope that these results will lead to better scientific models, better patient education, and, ultimately, improved outcomes for survivors.

High-performance liquid chromatography coupled with tandem mass spectrometry technology in the analysis of Chinese Medicine Formulas: A bibliometric analysis (1997-2015).

There is a recognized challenge in analyzing traditional Chinese medicine formulas because of their complex chemical compositions. The application of modern analytical techniques such as high-performance liquid chromatography coupled with a tandem mass spectrometry has improved the characterization of various compounds from traditional Chinese medicine formulas significantly. This study aims to conduct a bibliometric analysis to recognize the overall trend of high-performance liquid chromatography coupled with tandem mass spectrometry approaches in the analysis of traditional Chinese medicine formulas, its significance and possible underlying interactions between individual herbs in these formulas. Electronic databases were searched systematically, and the identified studies were collected and analyzed using Microsoft Access 2010, Graph Pad 5.0 software and Ucinet software package. 338 publications between 1997 and 2015 were identified, and analyzed in terms of annual growth and accumulated publications, top journals, forms of traditional Chinese medicine preparations and highly studied formulas and single herbs, as well as social network analysis of single herbs. There is a significant increase trend in using high-performance liquid chromatography coupled with tandem mass spectrometry related techniques in analysis of commonly used forms of traditional Chinese medicine formulas in the last 3 years. Stringent quality control is of great significance for the modernization and globalization of traditional Chinese medicine, and this bibliometric analysis provided the first and comprehensive summary within this field.

Chinese herbal medicine for menopausal symptoms.

BACKGROUND: Chinese herbal medicine (CHM) usage is expected to increase as women suffering from menopausal symptoms are seeking alternative therapy due to concerns from the adverse effects (AEs) associated with hormone therapy (HT). Scientific evidence for their effectiveness and safety is needed. OBJECTIVES: To evaluate the effectiveness and safety of CHM in the treatment of menopausal symptoms. SEARCH METHODS: We searched the Gynaecology and Fertility Group's Specialised Register of controlled trials, Cochrane Central Register of Controlled Trials (CENTRAL; 2015, Issue 3), MEDLINE, Embase, CINAHL, AMED, and PsycINFO (from inception to March 2015). Others included Current Control Trials, Citation Indexes, conference abstracts in the ISI Web of Knowledge, LILACS database, PubMed, OpenSIGLE database, and China National Knowledge Infrastructure database (CNKI, 1999 to 2015). Other resources included reference lists of articles as well as direct contact with authors. SELECTION CRITERIA: Randomised controlled trials (RCTs) comparing the effectiveness of CHM with placebo, HT, pharmaceutical drugs, acupuncture, or another CHM formula in women over 18 years of age, and suffering from menopausal symptoms. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed 864 studies for eligibility. Data extractions were performed by them with disagreements resolved through group discussion and clarification of data or direct contact with the study authors. Data analyses were performed in accordance with Cochrane Collaboration guidelines. MAIN RESULTS: We included 22 RCTs (2902 women). Participants were from different ethnic backgrounds with the majority of Chinese origin.When CHM was compared with placebo (eight RCTs), there was little or no evidence of a difference between the groups for the following pooled outcomes: hot flushes per day (MD 0.00, 95% CI -0.88 to 0.89; 2 trials, 199 women; moderate quality evidence); hot flushes per day assessed by an overall hot flush score in which a difference of one point equates to one mild hot flush per day (MD -0.81 points, 95% CI -2.08 to 0.45; 3 RCTs, 263 women; low quality evidence); and overall vasomotor symptoms per month measured by the Menopause-Specific Quality of Life questionnaire (MENQOL, scale 0 to 6) (MD -0.42 points; 95% CI -1.52 to 0.68; 3 RCTs, 256 women; low quality evidence).In addition, results from individual studies suggested there was no evidence of a difference between the groups for daily hot flushes assessed by severity (MD -0.70 points, 95% CI -1.00, -0.40; 1 RCT, 108 women; moderate quality evidence); or overall monthly hot flushes scores (MD -2.80 points, 95% CI -8.93 to 3.33; 1 RCT, 84 women; very low quality evidence); or overall daily night sweats scores (MD 0.07 points, 95% CI -0.19 to 0.33, 1 RCT, 64 women; low quality evidence); or overall monthly night sweats scores (MD 1.30 points, 95% CI -1.76 to 4.36, 1 RCT, 84 women; very low quality evidence). However one study using the Kupperman Index reported that overall monthly vasomotor symptom scores were lower in the CHM group (MD -4.79 points, 95% CI -5.52 to -4.06; 1 RCT, 69 women; low quality evidence).When CHM was compared with hormone therapy (HT) (10 RCTs), only two RCTs reported monthly vasomotor symptoms using MENQOL. It was uncertain whether CHM reduces vasomotor symptoms (MD 0.47 points, 95% CI -0.50 to 1.44; 2 RCTs, 127 women; very low quality evidence).Adverse effects were not fully reported in the included studies. Adverse events reported by women taking CHM included mild diarrhoea, breast tenderness, gastric discomfort and an unpleasant taste. Effects were inconclusive because of imprecise estimates of effects: CHM versus placebo (RR 1.51; 95% CI 0.69 to 3.33; 7 trials, 705 women; I² = 40%); CHM versus HT (RR 0.96; 95% CI 0.66 to 1.39; 2 RCTs, 864 women; I² = 0%); and CHM versus specific conventional medications (such as Fluoxetine and Estazolam) (RR 0.20; 95% CI 0.03 to 1.17; 2 RCTs, 139 women; I² = 61%). AUTHORS' CONCLUSIONS: We found insufficient evidence that Chinese herbal medicines were any more or less effective than placebo or HT for the relief of vasomotor symptoms. Effects on safety were inconclusive. The quality of the evidence ranged from very low to moderate; there is a need for well-designed randomised controlled studies.

Acupuncture for dysmenorrhoea.

BACKGROUND: Primary dysmenorrhoea is the most common form of period pain and affects up to three-quarters of women at some stage of their reproductive life. Primary dysmenorrhoea is pain in the absence of any organic cause and is characterised by cramping pain in the lower abdomen, starting within the first eight to 72 hours of menstruation.This review examines the currently available evidence supporting the use of acupuncture (stimulation of points on the body using needles) and acupressure (stimulation of points on the body using pressure) to treat primary dysmenorrhoea. OBJECTIVES: To determine the effectiveness and safety of acupuncture and acupressure in the treatment of primary dysmenorrhoea when compared with a placebo, no treatment, or conventional medical treatment. SEARCH METHODS: We searched the following databases: the Cochrane Menstrual Disorders and Subfertility Group Trials Register (to September 2015), Cochrane Central Register of Controlled Trials (CENTRAL) (the Cochrane Library), MEDLINE, EMBASE, PsycINFO, CINAHL and Chinese databases including Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), VIP database and registers of ongoing trials. SELECTION CRITERIA: We included all published and unpublished randomised controlled trials (RCTs) comparing acupuncture with sham acupuncture or placebo control, usual care, pharmacological treatment or no treatment. We included the following modes of treatment: acupuncture, electro-acupuncture, and acupressure. Participants were women of reproductive age with primary dysmenorrhoea during the majority of the menstrual cycles or for three consecutive menstrual cycles, and moderate to severe symptoms. DATA COLLECTION AND ANALYSIS: We calculated odds ratios (ORs) for dichotomous outcomes and mean differences (MDs) or standardised mean differences (SMDs) for continuous outcomes, with 95% confidence intervals (CIs). We pooled the data where appropriate. Our primary outcomes was pain. Secondary outcomes included menstrual symptoms, quality of life, and adverse effects. MAIN RESULTS: We included 42 RCTs (4640 women). Acupuncture or acupressure was compared with a sham/placebo group, medication, no treatment or other treatment. Many of the continuous data were not suitable for calculation of means, mainly due to evidence of skew.1. Acupuncture studies Acupuncture versus sham or placebo control (6 RCTs)Findings were inconsistent and inconclusive. However, the only study in the review that was at low risk of bias in all domains found no evidence of a difference between the groups at three, six or 12 months. The overall quality of the evidence was low. No studies reported adverse events. Acupuncture versus NSAIDs Seven studies reported visual analogue scale (VAS) pain scores, but were unsuitable for pooling due to extreme heterogeneity (I² = 94%). In all studies the scores were lower in the acupuncture group, with the mean difference varying across studies from 0.64 to 4 points on a VAS 0 - 10 scale (low-quality evidence). Four RCTs reported rates of pain relief, and found a benefit for the acupuncture group (OR 4.99, 95% CI 2.82 to 8.82, 352 women, I² = 0%, low-quality evidence). Adverse events were less common in the acupuncture group (OR 0.10, 95% CI 0.02 to 0.44, 4 RCTs, 239 women, 4 trials, I² = 15%, low-quality evidence). Acupuncture versus no treatment Data were unsuitable for analysis, but pain scores were lower in the acupuncture group in all six studies reporting this outcome. The quality of the evidence was low. No studies reported adverse events.2. Acupressure studiesNo studies of acupressure reported adverse events. Acupressure versus sham or placebo controlData were unsuitable for pooling, but two studies reported a mean benefit of one to three points on a 0 - 10 VAS pain scale. Another four studies reported data unsuitable for analysis: all found that pain scores were lower in the acupuncture group. No studies reported adverse events. The quality of the evidence was low. Acupressure versus NSAIDsOne study reported this outcome, using a 0 - 3 pain scale. The score was higher (indicating more pain) in the acupressure group (MD 0.39 points, 95% CI 0.21 to 0.57, 136 women, very low-quality evidence). Acupressure versus no treatmentThere was no clear evidence of a difference between the groups on a VAS 0 - 10 pain scale (MD -0.96 points, 95% CI -2.54 to 0.62, 2 trials, 140 women, I² = 83%, very low-quality evidence). AUTHORS' CONCLUSIONS: There is insufficient evidence to demonstrate whether or not acupuncture or acupressure are effective in treating primary dysmenorrhoea, and for most comparisons no data were available on adverse events. The quality of the evidence was low or very low for all comparisons. The main limitations were risk of bias, poor reporting, inconsistency and risk of publication bias.

Community- and Program-Level Predictors of Funding Streams Used by Coordinated Specialty Care Programs.

OBJECTIVE: Although coordinated specialty care (CSC) is an effective service model to address first-episode psychosis, CSC is not widely accessible in the United States, and funding for this service model often remains challenging. The authors examined whether community- or program-level factors predict the use of public and private funding streams in a national sample of 34 CSC programs in 22 U.S. states and territories. METHODS: As part of a larger mixed-methods study, CSC program leaders completed a brief questionnaire regarding funding sources. Statistical modeling was used to examine program- and community-level predictors of the use of funding sources. RESULTS: Most CSC programs (20 of 34, 59%) reported that Mental Health Block Grant (MHBG) set-aside funds accounted for more than half of their total funding, and 11 of these programs reported that these funds contributed to >75% of their funding. Programs ≤5 years old were more likely to rely on MHBG set-aside funds. Programs in Medicaid expansion states were more likely to rely on Medicaid funding than programs in nonexpansion states. Programs in higher-income service catchment areas used more state funds than did those in lower-income areas, and among programs in lower-income service catchment areas, those that were >4 years old were more likely than those ≤4 years old to rely on state funds other than Medicaid. CONCLUSIONS: CSC programs remain largely dependent on MHBG set-aside funding. Some programs have diversified their funding streams, most notably by including more Medicaid and other state funding. A more comprehensive funding approach is needed to reduce reliance on the MHBG set-aside funds.

Are Published Cancer Care Trial Protocols With Traditional Chinese Medicine Interventions Concordant With SPIRIT-TCM Extension 2018? A Scoping Review on Published Trial Protocols Between 2019 and 2022.

BACKGROUND: The SPIRIT-TCM Extension 2018 was created to guide the design and reporting of Traditional Chinese Medicine (TCM) clinical trial protocols. This study aims to investigate the extent of concordance with this guideline in the relevant field of cancer care research. METHODS: A scoping review of TCM cancer trial protocols published in English and Chinese since January 2019 was conducted. Five major academic databases (MEDLINE, EMBASE, CINAHL, CENTRAL, and China National Knowledge Infrastructure) were searched. Concordance with the SPIRIT-TCM Extension 2018 was assessed by descriptive analysis. RESULTS: Fifty-three TCM cancer care trial protocols were identified, comprising 23 acupuncture, 26 Chinese herbal medicine (CHM), and 4 Tai Chi/Qigong (TCQ) interventions. The majority of the checklist items had a low rate of concordance, especially in the reporting of quality control and safety, dosage, TCM diagnostic patterns, possible interactions between Western Medicine and TCM interventions, and TCM-related outcome assessments. CONCLUSIONS: Although the SPIRIT-TCM Extension 2018 guideline was established through extensive Delphi consultation, there are low rates of concordance between published TCM cancer care clinical trial protocols with the guideline. Further research is necessary to understand the low rate of concordance and how scientific rigors of reporting can be improved in TCM cancer care research.

Identification of cancer driver genes based on hierarchical weak consensus model.

Cancer is a complex gene mutation disease that derives from the accumulation of mutations during somatic cell evolution. With the advent of high-throughput technology, a large amount of omics data has been generated, and how to find cancer-related driver genes from a large number of omics data is a challenge. In the early stage, the researchers developed many frequency-based driver genes identification methods, but they could not identify driver genes with low mutation rates well. Afterwards, researchers developed network-based methods by fusing multi-omics data, but they rarely considered the connection among features. In this paper, after analyzing a large number of methods for integrating multi-omics data, a hierarchical weak consensus model for fusing multiple features is proposed according to the connection among features. By analyzing the connection between PPI network and co-mutation hypergraph network, this paper firstly proposes a new topological feature, called co-mutation clustering coefficient (CMCC). Then, a hierarchical weak consensus model is used to integrate CMCC, mRNA and miRNA differential expression scores, and a new driver genes identification method HWC is proposed. In this paper, the HWC method and current 7 state-of-the-art methods are compared on three types of cancers. The comparison results show that HWC has the best identification performance in statistical evaluation index, functional consistency and the partial area under ROC curve. Supplementary Information: The online version contains supplementary material available at 10.1007/s13755-024-00279-6.

Exploring Guolin Qigong (Mind-Body Exercise) for Improving Cancer Related Fatigue in Cancer Survivors: A Mixed Method Randomized Controlled Trial Protocol.

BACKGROUND: Cancer-related fatigue and its associated symptoms of sleep disorder and depression are prevalent in cancer survivors especially among breast, lung, and colorectal cancer survivors. While there is no gold standard for treating cancer-related fatigue currently, studies of mind-body exercises such as Qigong have reported promise in reducing symptoms. This study was designed to evaluate the feasibility and effect of Guolin Qigong on cancer-related fatigue and other symptoms in breast, lung and colorectal cancer survivors while exploring their perceptions and experiences of Guolin Qigong intervention. METHODS: This is an open-label randomized controlled trial with 60 participants divided into 2 study groups in a 1:1 ratio. The intervention group will receive 12 weeks of Guolin Qigong intervention with a 4-week follow-up while control will receive usual care under waitlist. The primary outcome will be feasibility measured based on recruitment and retention rates, class attendance, home practice adherence, nature, and quantum of missing data as well as safety. The secondary subjective outcomes of fatigue, sleep quality and depression will be measured at Week-1 (baseline), Week-6 (mid-intervention), Week-12 (post-intervention), and Week-16 (4 weeks post-intervention) while an objective 24-hour urine cortisol will be measured at Week-1 (baseline) and Week-12 (post-intervention). We will conduct a semi-structured interview individually with participants within 3 months after Week-16 (4 weeks post-intervention) to obtain a more comprehensive view of practice adherence. DISCUSSION: This is the first mixed-method study to investigate the feasibility and effect of Guolin Qigong on breast, lung, and colorectal cancer survivors to provide a comprehensive understanding of Guolin Qigong's intervention impact and participants' perspectives. The interdisciplinary collaboration between Western Medicine and Chinese Medicine expertise of this study ensures robust study design, enhanced participant care, rigorous data analysis, and meaningful interpretation of results. This innovative research contributes to the field of oncology and may guide future evidence-based mind-body interventions to improve cancer survivorship. TRIAL REGISTRATION: This study has been registered with ANZCTR (ACTRN12622000688785p), was approved by Medical Research Ethic Committee of University Malaya Medical Centre (MREC ID NO: 2022323-11092) and recognized by Western Sydney University Human Research Ethics Committee (RH15124).

Ultra-Fast-Charging, Long-Duration, and Wide-Temperature-Range Sodium Storage Enabled by Multiwalled Carbon Nanotube-Hybridized Biphasic Polyanion-Type Phosphate Cathode Materials.

Sodium-ion batteries (SIBs) represent a promising energy storage technology with great safety. Because of their high operating potential, superior structural stability, and prominent thermal stability, polyanion-type phosphates have garnered significant interest in superior prospective cathode materials for SIBs. Nevertheless, the disadvantages of poor intrinsic electronic conductivity, sluggish kinetics, and volume variation during sodiation/desodiation remain great challenges for satisfactory rate performance and cycle stability, which severely hinder their further practical applications. In this work, by adjusting the amounts of pretreated multiwalled carbon nanotubes (CNT) added intentionally at the beginning of the preparation, biphasic polyanion-type phosphate materials (marked as NFC) are synthesized through a one-pot solid state reaction methodology, which are composed of CNT-interwoven Na3V2(PO4)2F3 (NVPF) and a small amount of Na3V2(PO4)3 (NVP). Benefiting from the improved electronic conductivity and unique composition and structure, the optimized sample (labeled as NFC-2) illustrates exceptional cycle stability and remarkable rate performance. The discharge capacities of the NFC-2 electrode are 114.8 and 78.6 mAh g-1 tested at 20 and 5000 mA g-1, respectively. Notably, such an electrode still gives out 75.7% capacity retention upon 10 000 cycles at 5000 mA g-1. In situ X-ray diffraction analysis demonstrates that the NFC-2 cathode has outstanding structural reversibility during charge/discharge cycles. More importantly, such a biphasic material has achieved impressive electrochemical performance within a wide operating temperature range of -20-50 °C. When temperature is decreased to -20 °C, the NFC-2 electrode still delivers an initial discharge capacity of 102.4 mAh g-1 and exhibits a remarkable capacity retention of 97.8% even after 500 cycles at 50 mA g-1. In addition, the sodium-ion full cell assembled by integrating NFC-2 cathode and hard carbon anode shows a satisfying energy density of 431.3 Wh kg-1 at 20 mA g-1 with a better long-term cycle performance. The synergistic effect among high energy NVPF, conductive CNT, and stable NVP may lead to the great improvement in the electrochemical sodium storage performance of the NFC-2 sample. Such biphasic polyanion-type phosphate materials will inject new ideas into the material design for SIBs with excellent electrochemical performance and further promote practical applications of this advanced energy storage technology.

Baduanjin Mind-Body Exercise for Cancer-Related Fatigue: Protocol for a Remotely Delivered Randomized Wait-List Controlled Feasibility Study.

BACKGROUND: People living with a cancer diagnosis often experience cancer-related fatigue (CRF). Between 9% and 45% of people report CRF as moderate to severe, negatively impacting their quality-of-life (QOL). The evidence-base for managing CRF recommends exercise-related therapies over pharmaceutical interventions. One such exercise-like therapy is Baduanjin mind-body exercise (MBE), which has additional benefits. A remotely delivered program may further benefit people with CRF. The primary objective of this pilot will test study feasibility of a remotely delivered Baduanjin MBE exercise program for people living with CRF. METHODS: This is a randomized wait-list controlled pilot study and will take place in Sydney, Australia. Subject to informed consent, 40 adults with moderate CRF levels and receiving or previously received adjuvant chemotherapy, will undertake a home-based 8-week Baduanjin MBE program supported by online resources and instructors. The primary feasibility outcomes are recruitment, enrollment, retention, and adherence rates; and safety as measured by tolerance and adverse-event frequency. Clinical outcomes (eg, changes in CRF, QOL, and participant perceptions) are assessed at pre-intervention, week 1, week 4, week 8, and post-intervention. Analyses follows the Intent-to-Treat (all participants as per randomization) and per-protocol (participants adhering to the protocol). Missing data will be imputed from previous data entries and regression models may be tested to predict missing outcomes. DISCUSSION: To our knowledge, this is the first study evaluating the feasibility and effects of Baduanjin MBE on CRF using a remote delivery method. These feasibility data will inform a fully powered future trial investigating evidence of effect on CRF and QOL.Trial registration: Australian and New Zealand Clinical Trials Registry (ANZCTR 12623000177651).Ringgold ID: 651498 Chinese Medicine Centre.

Human-like adrenal features in Chinese tree shrews revealed by multi-omics analysis of adrenal cell populations and steroid synthesis.

The Chinese tree shrew ( Tupaia belangeri chinensis) has emerged as a promising model for investigating adrenal steroid synthesis, but it is unclear whether the same cells produce steroid hormones and whether their production is regulated in the same way as in humans. Here, we comprehensively mapped the cell types and pathways of steroid metabolism in the adrenal gland of Chinese tree shrews using single-cell RNA sequencing, spatial transcriptome analysis, mass spectrometry, and immunohistochemistry. We compared the transcriptomes of various adrenal cell types across tree shrews, humans, macaques, and mice. Results showed that tree shrew adrenal glands expressed many of the same key enzymes for steroid synthesis as humans, including CYP11B2, CYP11B1, CYB5A, and CHGA. Biochemical analysis confirmed the production of aldosterone, cortisol, and dehydroepiandrosterone but not dehydroepiandrosterone sulfate in the tree shrew adrenal glands. Furthermore, genes in adrenal cell types in tree shrews were correlated with genetic risk factors for polycystic ovary syndrome, primary aldosteronism, hypertension, and related disorders in humans based on genome-wide association studies. Overall, this study suggests that the adrenal glands of Chinese tree shrews may consist of closely related cell populations with functional similarity to those of the human adrenal gland. Our comprehensive results (publicly available at http://gxmujyzmolab.cn:16245/scAGMap/) should facilitate the advancement of this animal model for the investigation of adrenal gland disorders.

Iron(III) diethylenetriaminepentaacetic acid complex on polyallylamine functionalized multiwalled carbon nanotubes: immobilization, direct electrochemistry and electrocatalysis.

A nonenzymatic iron(III) diethylenetriaminepentaacetic acid (Fe(III)-DETPA) complex based amperometric sensor for the analytical determination of hydrogen peroxide was developed. By combining the electrostatic interaction between the Fe(III)-DETPA complex and polyallylamine (PAH) functionalized multiwalled carbon nanotubes (MWCNTs) as well as the ionotropic crosslinking interaction between PAH and ethylenediamine-tetramethylene phosphonic acid (EDTMP), the electroactive Fe(III)-DETPA complex was successfully incorporated within the MWCNT matrix, and firmly immobilized on the Au substrate electrode. The fabricated electrochemical sensor was characterized with scanning electron microscopy (SEM), transmission electron microscopy (TEM) and electrochemical methods. The influences of solution pH and ionic strength on the electrochemical sensor were investigated. The prepared electrochemical sensor had a fast response to hydrogen peroxide (<3 s) and an excellent linear range of concentration from 1.25 × 10(-8) to 4.75 × 10(-3) M with a detection limit of 6.3 × 10(-9) M under the optimum conditions.

Perceptions of Australian Palliative Medicine Specialists Toward Acupuncture for Palliative Care.

Background: With increasing multidisciplinary care strategies, palliative medicine practitioner perceptions toward acupuncture integration are significant. Objective: To evaluate acupuncture availability and acceptability in Australian palliative care. Outcomes: (1) Domains of the survey included participant characteristics, (2) workplace availability, (3) personal attitudes, and (4) recommendation likelihood. Design: An online REDCap survey of Australian palliative medicine practitioners was administered. Results: Acupuncture was mostly not available/permitted at workplaces (45.2%) due to cost/funding (57.1%) and limited evidence (57.1%). When available by workplace (24.2%) or affiliated service (4.8%), doctors mostly administered acupuncture (66.7%). Respondents were not up to date with current research (71.4%). Referral likelihood increased with confidence in provider (80.0%), workplace availability (77.1%), and patient prior/current use (77.1%). Patient acupuncture discussions were rare (62.9%) with barriers of effectiveness uncertainty (71.4%) and limited knowledge of availability (57.1%). Conclusion: Despite available integrative services and acceptability by Australian palliative medicine practitioners, utilization is low. Further research into acupuncture effectiveness for palliative symptoms, feasibility, and patient acceptability is required.

A Gene Correlation Measurement Method for Spatial Transcriptome Data Based on Partitioning and Distribution.

Spatial transcriptome (ST) technology provides both the spatial location and transcriptional profile of spots, as well as tissue images. ST data can be utilized to construct gene regulatory networks, which can help identify gene modules that facilitate the understanding of biological processes such as cell communication. Correlation measurement is the core basis for constructing a gene regulatory network. However, due to the high noise and sparsity in ST data, common correlation measurement methods such as the Pearson correlation coefficient (PCC) and Spearman correlation coefficient (SPCC) are not suitable. In this work, a new gene correlation measurement method called STgcor is proposed. STgcor defines vertexes as spots in a two-dimensional coordinate plane consisting of axes X and Y from the gene pair (X and Y). The joint probability density of Gaussian distribution of the gene pair (X and Y) is calculated to identify and eliminate outliers. To overcome sparsity, the degree, trend, and location of the distribution of vertexes are used to measure the correlation between gene pairs (X, Y). To validate the performance of the STgcor method, it is compared with the PCC and SPCC in a weighted coexpression network analysis method using two ST datasets of breast cancer and prostate cancer. The gene modules identified by these methods are then compared and analyzed. The results show that the STgcor method detects some special gene modules and cancer-related pathways that cannot be detected by the other two methods.

Essential proteins discovery based on dominance relationship and neighborhood similarity centrality.

Essential proteins play a vital role in development and reproduction of cells. The identification of essential proteins helps to understand the basic survival of cells. Due to time-consuming, costly and inefficient with biological experimental methods for discovering essential proteins, computational methods have gained increasing attention. In the initial stage, essential proteins are mainly identified by the centralities based on protein-protein interaction (PPI) networks, which limit their identification rate due to many false positives in PPI networks. In this study, a purified PPI network is firstly introduced to reduce the impact of false positives in the PPI network. Secondly, by analyzing the similarity relationship between a protein and its neighbors in the PPI network, a new centrality called neighborhood similarity centrality (NSC) is proposed. Thirdly, based on the subcellular localization and orthologous data, the protein subcellular localization score and ortholog score are calculated, respectively. Fourthly, by analyzing a large number of methods based on multi-feature fusion, it is found that there is a special relationship among features, which is called dominance relationship, then, a novel model based on dominance relationship is proposed. Finally, NSC, subcellular localization score, and ortholog score are fused by the dominance relationship model, and a new method called NSO is proposed. In order to verify the performance of NSO, the seven representative methods (ION, NCCO, E_POC, SON, JDC, PeC, WDC) are compared on yeast datasets. The experimental results show that the NSO method has higher identification rate than other methods.

State Mental Health Authority Level of Involvement in Coordinated Specialty Care Clinics and Client Outcomes.

OBJECTIVE: State mental health authorities (SMHAs) in all U.S. states and territories administer the Mental Health Block Grant (MHBG) set-aside funding for first-episode psychosis. Funds support implementation of coordinated specialty care (CSC) programs. The authors investigated the relationship between the level of SMHA involvement with CSC programs and clinical outcomes of clients in these programs. METHODS: As part of a mixed-methods study of 34 CSC programs, SMHAs from 21 states and one U.S. territory associated with the 34 CSC programs participated in a 1-hour interview (between November 2018 and May 2019) focused on SMHA involvement in administration of MHBG set-aside funds and the SMHA's ongoing relationship with funded CSC programs. SMHA involvement was rated on a scale of 1 to 5, with 5 indicating the highest involvement. Client outcome data were collected at the 34 study sites over an 18-month period. Multilevel random-effect modeling was used, controlling for response propensity (propensity score), client demographic variables, and program-level covariates (i.e., fidelity score, staff turnover rates, service area urbanicity, and number of clients enrolled). RESULTS: Clients in CSC programs with SMHAs that were the most involved (level 5) had significantly improved symptoms, social functioning, and role functioning, compared with clients in programs with which SMHAs were least involved (level 1). CONCLUSIONS: The findings suggest that increased SMHA involvement in CSC programs is relevant for positive client outcomes. Levels of first-episode psychosis funding doubled in 2021 and 2022, and it is important to identify how SMHAs affect the success of CSC programs and the individuals served.