bluuebunny/crossref_metadata_2025 huggingface dataset:
A technology integration approach for optimising biohydrogen production from food waste
Authors: Okoro-Shekwaga Cynthia Kusin , Wilmshurst Mark
Published: August 2024

Dark fermentation of food waste for biohydrogen production is a progressive technology that can contribute to low-cost solutions to the global clean energy need. As dark fermentation research progresses, it is important to evaluate opportunities for real-life application such as integration into existing anaerobic digestion systems. The present study proposes a novel approach of combined inoculum and food waste heat shock pretreatment for biohydrogen production through dark fermentation. It evaluates the effect of the heating duration (at 115°C) and starting pH on the biohydrogen yield and system profiles in two stages, namely, Exp1 and Exp2. Exp1 investigated the optimal heating duration and starting pH for a combined inoculum/food waste heat shock pretreatment. A 24-h biohydrogen production test at four heating durations (15, 30, 45 and 60 min) was assayed at acidic and alkaline pH ranges (4, 5, 6 and 8, 9, 10). The optimal starting pH from these experiments across all four heating durations was pH 5. Biohydrogen yield increased linearly from 37.4 to 63.8 mL/gVS, with an increase in heating duration from 15 to 60 min at pH 5. However, an optimal heating duration was not reached, therefore, additional tests were conducted at pH 5 for extended heating durations of 75–120 min. Biohydrogen yield was similar at 75, 90 and 105-min heating durations in a range of 69.7–73.5 mL/gVS. Above 105 min of heating duration, the overall gas production starts to decline, making it the maximum allowable heating duration. In Exp2, a comparative analysis of the system profiles between the combined inoculum/food waste pretreatment (Test) and inoculum-only pretreatment (Control) was investigated using the optimal heating duration range (75 and 105 min) and starting pH of 5. The peak biohydrogen yield from the Control was achieved following a 75-min heating duration (84.5 mL/gVS, 58.6%), while this was achieved following a 90-min heating duration for the Test (81.3 mL/gVS, 53.3%). Higher volatile fatty acids fermentation and pH recovery were achieved in the Test in addition to potential economic savings compared to the Control. Therefore, the innovative approach of combined food waste/inoculum heat shock pretreatment (Test) presents opportunities to integrate dark fermentation into existing anaerobic digestion systems as a step to scale up the dark fermentation technology from lab to real-life application.
A high-precision genome size estimator based on the k-mer histogram correction
Authors: Liao Xiangyu , Zhu Wufei , Liu Chaoyun
Published: August 2024

Introduction

In the realm of next-generation sequencing datasets, various characteristics can be extracted through k-mer based analysis. Among these characteristics, genome size (GS) is one that can be estimated with relative ease, yet achieving satisfactory accuracy, especially in the context of heterozygosity, remains a challenge.

Methods

In this study, we introduce a high-precision genome size estimator, GSET (Genome Size Estimation Tool), which is based on k-mer histogram correction.

Results

We have evaluated GSET on both simulated and real datasets. The experimental results demonstrate that this tool can estimate genome size with greater precision, even surpassing the accuracy of state-of-the-art tools. Notably, GSET also performs satisfactorily on heterozygous datasets, where other tools struggle to produce useable results.

Discussion

The processing model of GSET diverges from the popular data fitting models used by similar tools. Instead, it is derived from empirical data and incorporates a correction term to mitigate the impact of sequencing errors on genome size estimation. GSET is freely available for use and can be accessed at the following URL: https://github.com/Xingyu-Liao/GSET.
A cross-sectional study on the quality of life of women with endometriosis in Trinidad and Tobago
Authors: Khan Raveed , Baksh Rameez , Wallace Terika J. , Aimable Mikael , Bujhawan Vineeta , Cumberbatch Justin , Marbella Enrie Julian , Phagoo Dana , Ramjattan Sanathkumar , Shavili Akshita
Published: August 2024

Introduction

Endometriosis is a chronic gynecological condition that lacks a definitive cure and adversely impacts the quality of life (QoL) of those affected. This study delves into the experiences of individuals with endometriosis in Trinidad and Tobago, focusing on their quality of life, pain severity, and acceptance of illness.

Methods

Surveys were distributed among 160 members of the Trinidad and Tobago Endometriosis Association. The survey instrument utilized was the WHOQOL-BREF, which measures QoL, pain severity, and acceptance of illness [the Acceptance of Illness Scale (AIS)].

Results

The average age of respondents was 38.65 years. Quality of life scores averaged 3.41, with the “environment” aspect scoring highest (12.84) and “social relationships” scoring lowest (11.88). Cronbach's alpha indicated excellent internal consistency for “environment” (ɑ = 0.909) and the “AIS” (ɑ = 0.882). The independent samples t-test revealed lower mean QoL scores for unemployed participants. Analysis of variance revealed significant differences in mean QoL scores for “health status” and “years since endometriosis diagnosis.” All the QoL domains were positively correlated with each other. There were moderate positive correlations between the physical health and social relationships domains (ρ = 0.558). All other domains were strongly correlated with each other (0.6 < ρ < 0.8). Pain intensity and acceptance of illness had mean scores of 24.15 and 6.57, respectively. Variations in quality of life were observed for health status and duration since diagnosis, impacting mostly on the domain of physical health. Acceptance of illness emerged as a significant influencer of overall quality of life, assisting individuals in navigating the challenges posed by endometriosis.

Discussion

The findings underscore the importance of understanding determinants, such as pain severity to improve care and support for those with endometriosis. Exploring acceptance of illness is critical in improving the quality of life of these individuals, highlighting the need for tailored interventions that encompass psychological and social support alongside medical treatment. This study demonstrates the pivotal role of acceptance of illness in the overall quality of life of endometriosis patients. Improving the quality of care requires a comprehensive understanding of the factors influencing quality of life, particularly pain severity and the need for a holistic approach to support individuals grappling with endometriosis.
Cost-per-responder analysis of patients with lenalidomide-refractory multiple myeloma receiving ciltacabtagene autoleucel in CARTITUDE-4
Authors: Hansen Doris K. , Lu Xiaoxiao , Puglianini Omar Castaneda , Sorensen Sonja , Usmani Saad Z. , Zhang Eileen , Huo Stephen , Zhang Yan , Qureshi Zaina P. , Jagannath Sundar
Published: August 2024

Introduction

Ciltacabtagene autoleucel (cilta-cel) is a chimeric antigen receptor T-cell therapy approved for patients with relapsed/refractory multiple myeloma (RRMM). In the phase 3 trial, CARTITUDE-4 (NCT04181827), cilta-cel demonstrated improved efficacy vs. standard of care (SOC; daratumumab plus pomalidomide and dexamethasone [DPd] or pomalidomide plus bortezomib and dexamethasone [PVd]) with a ≥ complete response (≥CR) rate of 73.1% vs. 21.8%.

Methods

A cost-per-responder model was developed to assess the value of cilta-cel and SOC (87% DPd and 13% PVd) based on the CARTITUDE-4 trial data from a US mixed payer perspective (76.7% commercial, 23.3% Medicare). The model was developed using progression-free survival (PFS), overall survival (OS), and ≥CR endpoints from CARTITUDE-4 over a period of 25.4 months. Inpatient stays, outpatient visits, drug acquisition, administration, and monitoring costs were included. The base-case model assumed an inpatient setting for each cilta-cel infusion; another scenario included 30% outpatient and 70% inpatient infusions. Costs of managing grade 3-4 adverse events (AEs) and grade 1-4 cytokine release syndrome and neurotoxicity were included. Subsequent therapy costs were incurred after disease progression; terminal care costs were considered upon death events. Outcomes included total cost per treated patient, total cost per complete responder, and cost per month in PFS between cilta-cel and SOC. Costs were adjusted to 2024 US dollars.

Results

Total cost per treated patient, total cost per complete responder, and total cost per month in PFS were estimated at $704,641, $963,941, and $30,978 for cilta-cel, respectively, and $840,730, $3,856,559, and $42,520 for SOC over the 25.4-month period. Cost drivers included treatment acquisition costs before progression and subsequent treatment costs ($451,318 and $111,637 for cilta-cel; $529,795 and $265,167 for SOC). A scenario analysis in which 30% of patients received an outpatient infusion (assuming the same payer mix) showed a lower cost per complete responder for cilta-cel ($956,523) than those with an infusion in the inpatient setting exclusively.

Discussion

This analysis estimated that cost per treated patient, cost per complete responder, and cost per month in PFS for cilta-cel were remarkably lower than for DPd or PVd, highlighting the substantial clinical and economic benefit of cilta-cel for patients with RRMM.
The role of intercellular communication in diabetic nephropathy
Authors: Wang Bihan , Xiong Yonghong , Deng Xinqi , Wang Yunhao , Gong Siyuan , Yang Songyuan , Yang Baichuan , Yang Yuhang , Leng Yan , Li Wenyuan , Li Wei
Published: August 2024

Diabetic nephropathy, a common and severe complication of diabetes, is the leading cause of end-stage renal disease, ultimately leading to renal failure and significantly affecting the prognosis and lives of diabetics worldwide. However, the complexity of its developmental mechanisms makes treating diabetic nephropathy a challenging task, necessitating the search for improved therapeutic targets. Intercellular communication underlies the direct and indirect influence and interaction among various cells within a tissue. Recently, studies have shown that beyond traditional communication methods, tunnel nanotubes, exosomes, filopodial tip vesicles, and the fibrogenic niche can influence pathophysiological changes in diabetic nephropathy by disrupting intercellular communication. Therefore, this paper aims to review the varied roles of intercellular communication in diabetic nephropathy, focusing on recent advances in this area.
Insights into the CD1 lipidome
Authors: Szoke-Kovacs Rita , Khakoo Sophie , Gogolak Peter , Salio Mariolina
Published: August 2024

CD1 isoforms are MHC class I-like molecules that present lipid-antigens to T cells and have been associated with a variety of immune responses. The lipid repertoire bound and presented by the four CD1 isoforms may be influenced by factors such as the cellular lipidome, subcellular microenvironment, and the properties of the binding pocket. In this study, by shotgun mass spectrometry, we performed a comprehensive lipidomic analysis of soluble CD1 molecules. We identified 1040 lipids, of which 293 were present in all isoforms. Comparative analysis revealed that the isoforms bind almost any cellular lipid.CD1a and CD1c closely mirrored the cellular lipidome, while CD1b and CD1d showed a preference for sphingolipids. Each CD1 isoform was found to have unique lipid species, suggesting some distinct roles in lipid presentation and immune responses. These findings contribute to our understanding of the role of CD1 system in immunity and could have implications for the development of lipid-based therapeutics.
High seas in the cloud: the role of big data and artificial intelligence in support of high seas governance – The Sargasso Sea pilot
Authors: Freestone David , Bjergstrom Kieran N. , Gjerde Kristina M. , Halpin Patrick , Fleming Kevin P. , Hudson Andrew , Rogers Alex D. , Sapsford Fae , Tsontos Vardis M. , Vazquez-Cuervo Jorge , Vousden David
Published: August 2024

This article examines the future governance of areas beyond national jurisdiction (ABNJ) in the wake of the new 2023 United Nations Agreement using the work on the Sargasso Sea as a prototype. After discussing the legal framework and current challenges facing the ABNJ regime, some details are provided on open ocean data collection technologies, including big data and artificial intelligence (AI), used in support of ocean governance. Based on a technology-enabled ocean governance cycle, the role that data, information technology and data-science can play in incorporating empirical scientific knowledge into policy and decision-making is examined with a focus on the open ocean. The article concludes with a vision of future high seas governance based on the 2023 Agreement and how big data and AI can play a crucial role in meeting the exciting challenges that the new agreement poses.
Tensor adaptive reconstruction cascaded with spatial-spectral fusion for marine target detection
Authors: Zhao Xiaobin , Gao Kun , Huang Fenghua , Chen Junqi , Xiong Zhangxi , Song Lujie , Lv Ming
Published: August 2024

Hyperspectral target detection has a wide range of applications in marine target monitoring. Traditional methods for target detection take less consideration of the inherent structural information of hyperspectral images and make insufficient use of spatial information. These algorithms may experience degradation in efficacy during complex scenarios. To address these issues, this study introduces a hyperspectral target detection approach based on tensor adaptive reconstruction cascade spatial-spectral fusion, named as TRSSF. First, the position of the pixel that best matches the prior spectrum is obtained. Second, tensor decomposition and reconstruction of the original hyperspectral data are performed. Linear total variation smoothing is used to acquire the principal components in the spatial dimensionality unfolding of data, and correlation regularization robust principal component analysis is employed to derive the spectral dimensionality unfolding’s principal components of data. Finally, the spatial-spectral fusion method is proposed for detecting hyperspectral targets on the reconstructed data. The use of multi-morphological feature fusion can fully utilize the spatial features to complement the spectral detection results and improve the integrity of target detection. The experiments conducted on the publicly available dataset and collected datasets demonstrated the effective detection achieved by the proposed method.
Visualising the lubrication condition in hydrodynamic journal bearings using impedance measurement
Authors: Koetz Florian , Schmitt Florian , Kirchner Eckhard , Zancul Eduardo
Published: August 2024

Introduction

The demand to increase reliability and reduce maintenance costs drives the search for new condition monitoring solutions of machines. Bearings are of special interest in this matter as they are main contributors to machine downtime. Therefore, this article investigates the electric behavior of a hydrodynamic journal bearing using impedance measurement.

Methods

For that purpose measurements are taken in boundary lubrication, mixed lubrication and hydrodynamic lubrication of a hydrodynamic journal bearing. In order to interpret the behaviour observed in these measurements, a phenomenological model is developed using the quantitative working space model. The measurement results are also interpreted using analogies to the Stribeck curve as a known tribological model. Additionally, measurements in mixed lubrication are analysed in detail.

Results

These measurements show that the electric behaviour of journal bearings changes significantly within the mixed lubrication regime. This change in behaviour shows three distinct states within mixed lubrication which helps to identify destructive operating conditions. Furthermore, the measurements potentially allow the detection of deformation or damage of the bearing in mixed lubrication.

Discussion

The quantitative analysis of the electric behaviour of journal bearings is possible in the mixed lubrication regime and can be used in future to extract condition and operating information from a system during operation.
Making clinical teaching visible—A time and motion study of hospital rounds in undergraduate medical teaching
Authors: Kilian Paddy , Alshehabi Nagam , Othman Malek , Mahmoud Anan , du Preez Leon , Zary Nabil , Ho Samuel B.
Published: August 2024

Background

Teaching medical students in the clinical setting is frequently perceived as a demanding commitment by attending physicians. There is a paucity of data measuring the duration and efficacy of teaching during clinical rounds.

Aim

The aim of this study was to assess both the quantity and quality of clinical teaching time dedicated to medical students on hospital ward rounds.

Methods

A cross-sectional direct structured observational study was conducted during the morning rounds of attending physicians involved in teaching undergraduate medical students at three different clinical facilities in three different specialties. A validated observational tool was used by four observers to record teaching time and quality indicators.

Results

In terms of teaching duration, it was observed that 25% of the total morning round time was allocated to teaching. However, this measure varied widely between different physicians and specialties. As for teaching quality, actions categorized as active teaching by the teachers were observed in 19% of the interactions observed per round, while active learning by the students was observed in 17% of the interactions per round. Teacher high-cognition interactions were similarly observed in 23% of actions per round, while student high-cognition interactions occurred in 16% of actions per round. Internal Medicine tended to score higher than both Pediatrics and Surgery in terms of percentage teaching time as well as percentage of active teaching observed per round. Using liberal criteria, rounds characterized overall as predominantly active or high-cognition by both teachers and students were observed in only 21% of the total number of rounds observed.

Conclusion

These results indicate that the percentage of teaching time during ward rounds is highly variable, and that round teaching generally consists of passive and low-cognition interactions. Future work is needed to train clinical faculty to achieve a desired level of teaching quality, and to determine if there are any changes in teaching time commitments and student outcomes.
Mutational analysis of the RB1 gene in patients with unilateral retinoblastoma
Authors: Yousef Yacoub A. , Mohammad Mona , Baqain Laith , Al-Hussaini Maysa , Shanap Mayada Abu , Halalsheh Hadeel , Khzouz Jakub , Jaradat Imad , Mehyar Mustafa , Sultan Iyad , AlNawaiseh Ibrahim , Shawagfeh Munir
Published: August 2024

Purpose

Retinoblastoma, a childhood cancer originating in the retina, is primarily attributed to pathogenic RB1 mutations The aim of this study is to conduct a mutational analysis of the RB1 gene in cases of unilateral Retinoblastoma among individuals within the Jordanian population.

Methods

In this study, the peripheral blood of 50 unilateral Rb patients was collected, genomic DNA was extracted, and mutations were identified using Next Generation Sequencing (NGS) analysis.

Results

In this cohort of 50 unrelated patients with unilateral Rb, the median age at diagnosis was eight months (mean, 12 months; range; 2 weeks to 54 months). Twenty-eight (56%) were males, 29 (58%) had the disease in the right eye, 3 (6%) had a positive family history of Rb, and 20 (40%) were diagnosed within the first year of life. RB1 gene pathogenic mutations were detected in 14 out of 50 (28%) patients, indicating germline disease. Among unilateral non-familial cases, 11 out of 47 (23%) were found to have germline RB1 mutations. Overall, five (36%) of the germline cases had the same mutation detected in one of the parents consistent with an inherited disease (four (80%) were of paternal origin); 3 (60%) of these had affected carrier parent, two (40%) had an unaffected carrier parent. Nine (64%) patients had the nonsense mutation, and six (43%) had the mosaic mutation. The significant prognostic factors for positive genetic testing were positive family history (p = 0.018) and age at diagnosis less than 12 months (p = 0.03). At a median of 54 months follow-up, two (4%) patients were dead from distant metastasis. The overall eye salvage rate was 44% (n = 22/50) eyes; 100% for groups A, B, and C, 60% for group D, and none for group E eyes. There was no correlation between the presence of germline mutation and outcome in terms of eye salvage, metastasis, and survival.

Conclusion

In this study, 28% of patients with unilateral Rb had germline RB1 mutations, of which 43% were inherited, and one-third presented beyond their first year of life. Therefore, molecular screening is critical for genetic counseling regarding the risk for inherited Rb in unilateral cases, including those with no family history, regardless of the age at diagnosis. However, germline mutations did not appear to significantly predict patient outcomes regarding eye salvage, metastasis, and survival.
The association between the aggregate index of systemic inflammation and risk of rheumatoid arthritis: retrospective analysis of NHANES 1999–2018
Authors: Yin Xiaoshuang , Zou Jinmei , Yang Jing
Published: August 2024

Objective

The investigation purpose was to examine the correlation between the aggregate index of systemic inflammation (AISI) and rheumatoid arthritis (RA) by utilizing the NHANES database from the years 1999 to 2018.

Methods

The NHANES database was utilized to extract data spanning from 1999 to 2018. AISI, comprising neutrophils (NEU), monocytes (MONO), platelets (PLT), and lymphocytes (LYM), was computed based on counts. The identification of RA patients was accomplished through questionnaire data. To investigate the connection between AISI and RA, a weighted multivariate regression and subgroup analysis were conducted. In addition, restricted cubic splines (RCS) were employed for examining non-linear associations.

Results

The study encompassed a total of 41,986 patients, among whom 2,642 (6.29%) were diagnosed with RA. Upon controlling for all covariates, the outcomes of the multivariate logistic regression assay demonstrated a statistically significant association between higher Ln(AISI) levels and elevated odds of RA (odds ratio [OR]: 1.097; 95% confidence interval [CI]: 1.096–1.099, p < 0.001). The interaction test findings indicate that there is no statistically significant impact within this particular association. The results of the RCS regression model revealed a non-linear pattern in the correlation between Ln(AISI) and RA. The threshold level of AISI for RA was determined as 298.9. The risk of RA rises steeply when AISI surpasses the threshold value.

Conclusion

Overall, a positive association has been observed between AISI and RA. This study highlights the potential of AISI as an innovative, vital, and appropriate inflammatory biomarker for predicting the risk of developing rheumatoid arthritis in older individuals residing in the United States.
Potential mechanisms of traditional Chinese medicine in the treatment of liver cirrhosis: a focus on gut microbiota
Authors: Sun Siyuan , Zhang Guangheng , Lv Shimeng , Sun Jinhui
Published: August 2024

Cirrhosis, a pathological stage that develops from various chronic liver diseases, is characterized by liver fibrosis, pseudolobular formation, and chronic inflammation. When it progresses to the decompensated phase, the mortality rate of cirrhosis can reach 80%. The role of gut microbiota in the progression of liver diseases has received significant attention. Numerous studies have shown that regulating gut microbiota has significant therapeutic effects on preventing and reversing liver cirrhosis. This article reviewed the mechanisms by which gut microbiota influence liver cirrhosis, explaining the effective therapeutic effects of traditional Chinese medicine. Through multi-directional regulation involving signaling pathways, gut microbiota diversity, and restoration of intestinal barrier function, traditional Chinese medicine has been promising in ameliorating liver cirrhosis, providing treatment options and pharmacological guidance for the occurrence and development of liver cirrhosis.
Colorectal cancer-specific microbiome in peripheral circulation and cancer tissues
Authors: Yan Shushan , Liu Tie , Zhao Haobin , Zhao Chunbo , Zhu Yuxin , Dai Wenqing , Sun Wenchang , Wang Honggang , Sun Junxi , Zhao Lu , Xu Donghua
Published: August 2024

Introduction

Accumulating evidence has supported that gut microbiota and metabolite profiles play indispensable roles in the pathogenesis of colorectal cancer (CRC), which ranks as the third most common cancer and the second leading cause of cancer-related deaths worldwide. However, alterations in tumoral or circulating microbiomes in CRC remain incompletely understood. It has been well-documented that tissue or serum microbiomes with low microbial biomass could be screened by use of 2bRAD sequencing for microbiome (2bRAD-M) at the species resolution.

Methods

In order to validate the microbial biomarkers distinguishing CRC and the variations in microorganisms present in serum and tumors, we performed 2bRAD-M to characterize the microbiomes in serum and cancer tissues of CRC patients with and without lymph node or liver metastasis.

Results

The composition of dominated microbiota in serum was different from that of tissue samples, while the microbial community composition of tumors was similar to that of the tumor-adjacent tissues. The analysis of α-diversity and β-diversity has revealed notable variations in serum microbiota diversities in CRC patients, particularly those with liver metastasis. Multiple CRC-specific microbial species, such as Moraxella A cinereus, Flavobacterium sp001800905, and Acinetobacter albensis, were identified in serum. Complicated functions and KEGG pathways were also confirmed in CRC according to the metastasis status.

Discussion

This study has found significant alterations in the microbial compositions and diversities in CRC and CRC-specific microbial species in both circulation and cancer tissues, which may serve as promising biomarkers for the screening, diagnosis and prognosis prediction of CRC. In particular, CRC-specific bacterial taxa are promising markers, holding transformative potentials in establishing personalized screening and risk stratification, refining much earlier non-invasive diagnostic approaches, and enhancing diagnostic sensitivity.
Rapid and sensitive detection of methicillin-resistant Staphylococcus aureus through the RPA-PfAgo system
Authors: Chen Weizhong , Zhang Jiexiu , Wei Huagui , Su Jie , Lin Jie , Liang Xueyan , Chen Jiangtao , Zhou Rong , Li Lin , Lu Zefang , Sun Guangyu
Published: August 2024

Introduction

Both the incidence and mortality rates associated with methicillin-resistant Staphylococcus aureus (MRSA) have progressively increased worldwide. A nucleic acid testing system was developed in response, enabling swift and precise detection of Staphylococcus aureus (S. aureus) and its MRSA infection status. This facilitates improved prevention and control of MRSA infections.

Methods

In this work, we introduce a novel assay platform developed by integrating Pyrococcus furiosus Argonaute (PfAgo) with recombinase polymerase amplification (RPA), which was designed for the simultaneous detection of the nuc and mecA genes in MRSA.

Results

This innovative approach enables visual MRSA detection within 55 mins, boasting a detection limit of 102 copies/μL. Characterized by its high specificity, the platform accurately identifies MRSA infections without cross-reactivity to other clinical pathogens, highlighting its unique capability for S. aureus infection diagnostics amidst bacterial diversity. Validation of this method was performed on 40 clinical isolates, demonstrating a 95.0% accuracy rate in comparison to the established Vitek2-COMPACT system.

Discussion

The RPA-PfAgo platform has emerged as a superior diagnostic tool, offering enhanced sensitivity, specificity, and identification efficacy for MRSA detection. Our findings underscore the potential of this platform to significantly improve the diagnosis and management of MRSA infection.
The signatures and crosstalk of gut microbiome, mycobiome, and metabolites in decompensated cirrhotic patients
Authors: Li Yangjie , Liu Danping , He Yanglan , Zhang Zeming , Zeng Ajuan , Fan Chunlei , Lyu Lingna , He Zilong , Ding Huiguo
Published: August 2024

Background

Numerous studies have confirmed that gut microbiota plays a crucial role in the progression of cirrhosis. However, the contribution of gut fungi in cirrhosis is often overlooked due to the relatively low abundance.

Methods

We employed 16S ribosomal RNA sequencing, internal transcribed spacer sequencing, and untargeted metabolomics techniques to investigate the composition and interaction of gut bacteria, fungi, and metabolites in cirrhotic patients.

Results

Cirrhotic patients exhibited significant differences in the diversity and composition of gut microbiota and their metabolites in cirrhotic patients compared to healthy individuals. Increase in pathogenic microbial genera and a decrease in beneficial microbial genera including bacteria and fungi were observed. Various clinical indexes were closely connected with these increased metabolites, bacteria, fungi. Additionally, endoscopic treatment was found to impact the gut microbiota and metabolites in cirrhotic patients, although it did not significantly alter the gut ecology. Finally, we constructed a cirrhosis diagnostic model based on different features (bacteria, fungi, metabolites, clinical indexes) with an AUC of 0.938.

Conclusion

Our findings revealed the characteristics of gut microbial composition and their intricate internal crosstalk in cirrhotic patients, providing cutting-edge explorations of potential roles of gut microbes in cirrhosis.
Serum biomarker-based risk model construction for primary Sjögren’s syndrome with interstitial lung disease
Authors: Liu Xiaoli , Zhang Xia , Shi Juan , Li Shiqing , Zhang Xiuzhi , Wang Huiling
Published: August 2024

Background

Cytokine network disturbances in primary Sjögren’s syndrome (pSS) have been reported in many studies. However, their functions in patients with primary Sjögren’s syndrome and interstitial lung disease (pSS-ILD) is controversial. In this study, we aim to investigate the associations of immunological characteristics and cytokine profiles with pSS-ILD pathogenesis and explore their predictive values for pSS progression.

Methods

A total of 256 patients initially diagnosed with pSS at Henan Provincial People’s Hospital were enrolled. After excluding the patients previously diagnosed with various serious acute and chronic respiratory system diseases and cases with other connective tissue diseases or congenital heart diseases, 94 pSS patients were included for further analysis, including 40 patients with ILD (pSS-ILD) and 54 patients without ILD (pSS-N-ILD). For comparison, 41 age- and sex-matched healthy individuals were included as normal controls. Their clinical symptoms and serological data including cyclic citrullinated peptide (CCP) antibody (anti-CCP), antinuclear antibody (ANA), anti-Ro52, anti-SSA, anti-SSB, C-reactive protein, IgG, IgM, IgA, C3, C4, and 10 cytokines and chemokines were obtained. Wilcoxon test, chi-square test, Spearman correlation analysis, and logistics regression analysis were performed.

Results

Higher positive rates of anti-SSB and higher incidence of dry cough, dyspnea, and arthrosis symptoms were shown in pSS-ILD patients than in the pSS-N-ILD cases. Anti-CCP antibodies and cytokines (IL-1β, TNFα, IL-6, IL-5, IL-12p70, and IL-17) were higher, while C3 was lower in pSS-ILD patients than in pSS-N-ILD cases. Significant negative correlations of IgG with C3 and C4 and positive correlations of IL-12p70 and IL-17 with IL-6 were only shown in pSS-ILD patients. The anti-CCP antibody was positively correlated with IL-5 in pSS-ILD patients, but not in pSS-N-ILD cases. Multi-variable logistics regression analysis revealed the combination of anti-CCP, IL-17, IL-12p70, and IL-5 was effective in predicting the status of pSS-ILD in the pSS cases.

Conclusion

There were significant differences in serum marker levels between pSS-ILD and pSS-N-ILD cases. The combination of anti-CCP, IL-17, IL-12p70, and IL-5 might be a potential risk predictor for pSS-ILD occurrence. The cytokines might be involved in the development and progression of pSS-ILD. These results would provide new therapeutic targets for pSS-ILD treatment.
Incidence and etiology of traumatic spinal cord injury in Rwanda: a prospective population-based study
Authors: Kanyoni Maurice , Wikmar Lena Nilsson , Philips Joliana , Joseph Conran , Tumusiime David K.
Published: August 2024

Background

Traumatic spinal cord injury (TSCI) is not only a life-threatening but also life changing event that happens suddenly, the effects extends beyond the TSCI survivors to include their families. In Rwanda to the best knowledge of authors, there is no published information on the epidemiology of TSCI. The aim of this study was therefore to determine the incidence rate, etiology and injury characteristics of TSCI.

Methods

All survivors of acute TSCI who met the inclusion criteria were prospectively recruited for a one-year period. The International Spinal Cord Injury Core Data Set was used to collect the minimum set of variables to facilitate worldwide comparison of epidemiological data, while the International Standards for the Neurological Classification was used to categorize TSCI according to the American Spinal Injury Association Impairment Scale (AIS). Data were collected by trained physiotherapists.

Study design

A prospective, open-ended, cohort study design.

Setting

All referral hospitals within the Republic of Rwanda.

Results

Overall, 122 adult individuals sustained a TSCI between 10th October 2019 until 9th October 2020 and all consented to take part in the study. The male-to-female ratio was 3.9:1, and the mean age was 42.5 (SD = ±14.8) years. The crude incidence rate of TSCI was 22.2 per million people (95% CI, 18.4–26.5) with significant differences in sex-adjusted rates for all age groups while men 46 years of age and older presented with the highest incidence. The leading causes of TSCI were falls (73.8%), followed by road traffic accidents (18.9%). Moreover, SCI lesions of the cervical region (n = 69) were the most common, followed by the lumbosacral region (n = 27). Fifty-one (41.8%) participants were diagnosed as complete injury, i.e., AIS A, while incomplete injury category C constituted 35 (28.7%).

Conclusion

The incidence and etiology of TSCI in Rwanda are comparable to worldwide estimates and figures. Largely, the etiology of TSCI are preventable as it is caused due to falls and road traffic accidents. There is a need to consider preventive strategies and policies on activities that predispose people to falls. Policies should focus largely on occupational health and safety in both formal and informal sectors of work.
Association of higher triglyceride–glucose index and triglyceride-to-high-density lipoprotein cholesterol ratio with early neurological deterioration after thrombolysis in acute ischemic stroke patients
Authors: Deng Mingzhu , Song Kangping , Xu Wei , He Guohua , Hu Jue , Xiao Hui , Zhou Nina , Chen Sufen , Xu Guilan , Tong Yangping , Zhang Dan , Wang Zhen , Li Fangyi
Published: August 2024

Background

Insulin resistance (IR) can predict the prognosis of patients suffering from cerebrovascular disorders. The triglyceride–glucose (TyG) index and triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio have been confirmed to be easy and reliable indicators of IR. However, the relationships between the TyG index or TG/HDL-C ratio and early neurological deterioration (END) after thrombolysis in patients with acute ischemic stroke (AIS) are uncertain.

Methods

A retrospective analysis of 1,187 patients diagnosed with AIS who underwent intravenous thrombolysis between January 2018 and February 2024 was performed. Post-thrombolysis END was defined as an increase in the National Institutes of Health Stroke Scale (NIHSS) score of ≥4 within 24 h after thrombolysis. Logistic regression analysis was performed to explore the relationships of the TyG index and TG/HDL-C ratio with post-thrombolysis END. Receiver operating characteristic (ROC) analysis was used to assess the ability of the TyG index and TG/HDL-C ratio to discriminate post-thrombolysis END.

Results

Among the 1,187 recruited patients, 179 (15.08%) were diagnosed with post-thrombolysis END, and 1,008 (84.92%) were diagnosed with non-END. A binary logistic regression model indicated that the TyG index (odds ratio [OR], 2.015; 95% confidence interval [CI] 1.964–2.414, p = 0.015) and TG/HDL-C ratio (OR, 1.542; 95% CI, 1.160–2.049, p = 0.004) were independent factors for post-thrombolysis END. The area under the curve (AUC) values for the TyG index, TG/HDL-C ratio, and TyG index combined with the TG/HDL-C ratio for post-thrombolysis END were 0.704, 0.674, and 0.755, respectively.

Conclusion

This study indicates that the TyG index and TG/HDL-C ratio can be used as prognostic factors to predict post-thrombolysis END.
Proteomic characterization of head and neck paraganglioma and its molecular classification
Authors: Wang Xi , Sun Jiameng , Feng Guodong , Tian Xu , Zhao Yang , Gao Zhiqiang , Sun Wei
Published: August 2024

Background

Head and neck paragangliomas (HNPGLs) are rare neuroendocrine tumors that pose significant challenges in both diagnosis and treatment. The pathogenic mechanism remains unclear, and there is no proteomic analysis-based molecular classification. Therefore, gaining a deeper understanding of this disease from the protein level is crucial because proteins play a fundamental role in the occurrence and development of tumors.

Methods

We collected 44 tumor samples from patients diagnosed with HNPGL. The adrenal paraganglioma tissue (N = 46) was used as the disease control group and the chorda tympani nerves (N = 18) were used as the control group. High-pH reversed-phase liquid chromatography and liquid chromatography with tandem mass spectrometry analyses were used to build an integrated protein database of tumor samples. We then obtained two sets of differentially expressed proteins between the tumor group and the control group to identify the unique proteomic signatures of HNPGLs. Ingenuity pathway analysis annotations were used to perform the functional analysis. Subsequently, we developed a clinically relevant molecular classification for HNPGLs that connected the clinical characteristics with meaningful proteins and pathways to explain the varied clinical manifestations.

Results

We identified 6,640 proteins in the HNPGL group, and 314 differentially expressed proteins unique to HNPGL were discovered via inter-group comparison. We identified two HNPGL subgroups that significantly differed in clinical manifestation and proteomic characteristics. On the basis of the proteomic results, we proposed a pathogenic mechanism underlying HNPGL.

Conclusion

We conducted a comprehensive analysis of the molecular mechanisms of HNPGL to build, for the first time, a clinically relevant molecular classification. By focusing on differential proteomic analyses between different types of paragangliomas, we were able to obtain a comprehensive description of the proteomic characteristics of HNPGL, which will be valuable for the search for significant biomarkers as a new treatment method for HNPGL.
Research progress on predictive models for malnutrition in cancer patients
Authors: Zheng Pengcheng , Wang Bo , Luo Yan , Duan Ran , Feng Tong
Published: August 2024

Disease-related malnutrition is a prevalent issue among cancer patients, affecting approximately 40–80% of those undergoing treatment. This condition is associated with numerous adverse outcomes, including extended hospitalization, increased morbidity and mortality, delayed wound healing, compromised muscle function and reduced overall quality of life. Moreover, malnutrition significantly impedes patients’ tolerance of various cancer therapies, such as surgery, chemotherapy, and radiotherapy, resulting in increased adverse effects, treatment delays, postoperative complications, and higher referral rates. At present, numerous countries and regions have developed objective assessment models to predict the risk of malnutrition in cancer patients. As advanced technologies like artificial intelligence emerge, new modeling techniques offer potential advantages in accuracy over traditional methods. This article aims to provide an exhaustive overview of recently developed models for predicting malnutrition risk in cancer patients, offering valuable guidance for healthcare professionals during clinical decision-making and serving as a reference for the development of more efficient risk prediction models in the future.
A novel x-Ray and γ-Ray combination strategy for radiotherapy after breast-conserving surgery in patients with right breast cancer
Authors: Zhang Kunpeng , He Ruixin , Tang Fenwen , Zhou Luping , Zhang Xiaozhi , Li Jinsheng , Wei Zhiwei , Li Yi
Published: August 2024

Background and purpose

Radiotherapy is a primary therapeutic approach for breast cancer following breast-conserving surgery. The TaiChiB dual-modality radiotherapy system combining X-ray and focused γ-ray, offers a new approach to reduce the radiation dose of organs at risk (OARs) and has the potential to mitigate the adverse effects of radiotherapy. Currently, there are few studies on the dosimetric characteristics of the TaiChiB dual-modality system for actual treatment plans for specific diseases. The purpose of this work is to study the dosimetric advantages of dual-modal systems for right breast patients after breast-conserving surgery.

Material and methods

Treatment plans for 20 patients with right breast cancer were generated for a linear accelerator (LINAC) based system and the TaiChiB dual-modality system, respectively. Volumetric modulated arc therapy plans with simultaneous integrated boost (VMAT-SIB) were made for the LINAC. Focused γ-ray was used to deliver the boost dose with the dual-modality system. The dosimetric parameters of the target and OARs were evaluated and compared between the treatment plans generated for the two systems.

Results

The TaiChiB dual-modality plans exhibit a higher conformal index (CI) and lower gradient index (GI) for the PGTV and PTV compared with the LINAC-based VMAT-SIB plans. Compared to VMAT-SIB plans, the PTV Dmax, PTV Dmean, PTV V110, PGTV Dmax, and PGTV Dmean of the TaiChiB dual-modality plans are significantly lower. Meanwhile, the dose to OARs, such as the Dmean of the heart, the V5 of liver, the Dmean of ipsilateral lung, the V30 of ipsilateral lung, the V20 of ipsilateral lung, the V5 of ipsilateral lung, the Dmean of contralateral lung, Dmax of contralateral breast and the Dmean of contralateral breast are significantly reduced.

Conclusions

Our study demonstrates the dosimetric advantages of the novel TaiChiB dual-modality radiotherapy system for the treatment of right-sided breast cancer. Overall, for the TaiChiB dual-modality radiotherapy system, the radiation dose outside the target region decreases rapidly, thereby minimizing radiation exposure to neighboring organs and ensuring the conformity of the target area. Our research confirms the potential of the TaiChiB dual-modality system for future radiotherapy.
Pathological response and safety of albumin-bound paclitaxel as a neoadjuvant treatment for HER2-positive breast cancer compared to docetaxel combined with anti-HER2 therapy: a real-world study
Authors: Lyu Zhidong , Gao Linlin
Published: August 2024

Background

This study aimed to retrospectively analyse the pathological response and safety of combining albumin-bound paclitaxel (nab-paclitaxel) or docetaxel with anti-HER2 therapy as a neoadjuvant treatment for HER2-positive breast cancer.

Methods

From June 2020 to August 2023, 225 HER2-positive breast cancer patients who underwent radical surgery following neoadjuvant treatment were enrolled in this study. The patients were divided into two groups based on the drugs they received: the nab-paclitaxel group (n=166, receiving nab-paclitaxel + platinum along with trastuzumab and pertuzumab) and the docetaxel group (n=59, receiving docetaxel + platinum along with trastuzumab and pertuzumab). The pathological response and adverse events related to the drugs were collected and evaluated in both groups.

Results

In the nab-paclitaxel group, the rates of breast and total pathological complete response (bpCR and tpCR) were significantly greater than those in the docetaxel group (69.27% vs. 47.45%, P=0.003; 68.67% vs. 45.76%, P=0.002). For patients who did not achieve pCR after chemotherapy, the pathological response of chemotherapy was analysed using MP grading and RCB grading. The results showed that there was a statistically significant difference between the two groups (P<0.05). Multivariate analysis revealed that therapeutic drugs, clinical stage, ER status, and Ki-67 level were independent predictors of pCR. The nab-paclitaxel group had a significantly greater proportion of patients with peripheral sensory neuropathy than did the docetaxel group (58.43% vs. 38.98%, P=0.035), while the docetaxel group had a greater proportion of patients with allergies and elevated ALT (31.93% vs. 69.49%, P=0.000; 23.49% vs. 40.68%, P=0.021).

Conclusions

Our real-world study revealed that nab-paclitaxel combined with anti-HER2 therapy was an effective neoadjuvant therapy for HER2-positive breast cancer. The multivariate analysis revealed that chemotherapy drugs, clinical stage, ER status, and Ki-67 level was the significant factor influencing treatment outcome. These findings offer a valuable reference for the neoadjuvant treatment of patients with HER2-positive breast cancer.
Primary cilia-associated signalling in squamous cell carcinoma of head and neck region
Authors: Putnová Iveta , Putnová Barbora Moldovan , Hurník Pavel , Štembírek Jan , Buchtová Marcela , Kolísková Petra
Published: August 2024

Squamous cell carcinoma (SCC) of the head and neck originates from the mucosal lining of the upper aerodigestive tract, including the lip, tongue, nasopharynx, oropharynx, larynx and hypopharynx. In this review, we summarise what is currently known about the potential function of primary cilia in the pathogenesis of this disease. As primary cilia represent a key cellular structure for signal transduction and are related to cell proliferation, an understanding of their role in carcinogenesis is necessary for the design of new treatment approaches. Here, we introduce cilia-related signalling in head and neck squamous cell carcinoma (HNSCC) and its possible association with HNSCC tumorigenesis. From this point of view, PDGF, EGF, Wnt and Hh signalling are discussed as all these pathways were found to be dysregulated in HNSCC. Moreover, we review the clinical potential of small molecules affecting primary cilia signalling to target squamous cell carcinoma of the head and neck area.