Single-nucleus transcriptional profiling reveals TCF7L2 as a key regulator in adipogenesis in goat skeletal muscle development.

Intramuscular adipogenesis plays an important role in muscle development, which determines the quality of goat meat. However, its underlying cellular and molecular mechanisms remain poorly understood. In this study, we provided detailed cellular atlases of goat longissimus dorsi during muscle development at single-nucleus resolution, and identified the subpopulations of fibroblasts/fibro-adipogenic progenitors (FAPs) and muscle satellite cell (MuSC), as well as the differentiation trajectory of FAPs subpopulations. Cellular ligand-receptor interaction analysis revealed enriched BMP and IGF pathways implicated in within-tissue crosstalk centered around FAPs. Through single-nucleus gene regulatory network analysis and in vitro interference verification, we found that TCF7L2 was a critical transcriptional factor (TF) in early adipogenesis in skeletal muscle. Overall, our work reveals the cellular intricacies and diversity of goat longissimus dorsi during muscle development, implementing insights into the critical roles of BMP, IGF pathways and TCF7L2 TF in intramuscular adipogenesis.

Continuous atmospheric pressure interfaced ion trap mass spectrometry with thermal desorption for detection of nonvolatile drugs.

The escalating need for prompt and highly sensitive on-site detection of trace-level drugs is fueling the advancement of miniature, high-performance mass spectrometers and analytical methodologies. In this study, a miniature continuous atmospheric pressure interfaced ion trap mass spectrometer integrated with thermal desorption acetone-assisted photoionization (TD-CAPI-ITMS) was developed for highly sensitive detection of nonvolatile drugs in saliva and blood. By strategically extending the sampling time of the TD-CAPI-ITMS to cover the entire desorption process, a remarkable two-order-of-magnitude enhancement in the signal intensity of individual drugs was observed. Moreover, the simultaneous detection of drug mixtures with widely varying boiling points and saturation vapor pressures was accomplished. Optimization of the parameters yielded a limit of detection (LOD) for ketamine and 5F-EMB-PICA of 1 pg/µL accompanied by a robust stability, as evidenced by a relative standard deviation (RSD) of 5.30 %. Combined with straightforward liquid-liquid extraction, the sensitivity of drugs in saliva as low as 10 pg/µL was achieved, which met the requirements of Chinese national standard GA1333-2017. Owing to its exceptional sensitivity, the matrix effect present in blood samples was significantly alleviated through dilution, allowing for accurate monitoring of antibiotic concentrations. The results underscore the substantial potential of the TD-CAPI-ITMS for lab-free applications in drug-related forensic analysis, therapeutic drug monitoring, and pharmacokinetic studies.

High-Accuracy Positivity-Preserving Finite Difference Approximations of the Chemotaxis Model for Tumor Invasion.

Numerical simulation of the complex evolution process for tumor invasion plays an extremely important role in-depth exploring the bio-taxis phenomena of tumor growth and metastasis. In view of the fact that low-accuracy numerical methods often have large errors and low resolution, very refined grids have to be used if we want to get high-resolution simulating results, which leads to a great deal of computational cost. In this paper, we are committed to developing a class of high-accuracy positivity-preserving finite difference methods to solve the chemotaxis model for tumor invasion. First, two unconditionally stable implicit compact difference schemes for solving the model are proposed; second, the local truncation errors of the new schemes are analyzed, which show that they have second-order accuracy in time and fourth-order accuracy in space; third, based on the proposed schemes, the high-accuracy numerical integration idea of binary functions is employed to structure a linear compact weighting formula that guarantees fourth-order accuracy and nonnegative, and then a positivity-preserving and time-marching algorithm is established; and finally, the accuracy, stability, and positivity-preserving of the proposed methods are verified by several numerical experiments, and the evolution phenomena of tumor invasion over time are numerically simulated and analyzed.

AP1c and SOC1 Form a Regulatory Feedback Loop to Regulate Flowering Time in Soybean.

Flowering time is a key agronomic trait that directly affects soybean yield. Both APETALA1 (AP1) and SUPPRESSOR OF OVEREXPRESSION OF CO 1 (SOC1) regulate flowering time in soybean, but their genetic and regulatory relationships have not been clarified. Here, we report that AP1c physically interacted with two SOC1 proteins, SOC1a and SOC1b, and that these SOC1s upregulated the expression of AP1c, promoting flowering. Moreover, AP1c repressed the expression of the SOC1s by directly binding to their promoters, thus preventing plants from flowering too early. These findings indicate that AP1c and SOC1s form a regulatory feedback loop that regulates flowering time. Importantly, we identified an exceptional allele, AP1cG, that was selected for during soybean domestication and promotes the early-flowering phenotype in cultivated soybean. Collectively, our work identifies a previously unknown allelic combination potentially useful for both classical and molecular soybean breeding.

Tulipalin A suppressed the pro-inflammatory polarization of M1 macrophage and mitigated the acute lung injury in mice via interference DNA binding activity of NF-κB.

Acute lung injury (ALI) is an inflammatory disorder accompanied by higher morbidity and mortality. The pathological mechanism of ALI has been reported to be associated with the release of inflammatory cytokines by macrophages. Sesquiterpene lactones (SLs) represent the principal anti-inflammatory components of many natural products. Tulipalin A is a natural small molecule and a conserved moiety in anti-inflammatory SLs. However, the anti-inflammatory potential of Tulipalin A has yet to be fully disclosed. The present study aims to investigate TulipalinA's anti-inflammatory activity and underlying mechanisms in vitro and in vivo. Tulipalin A suppressed inflammatory responses in lipopolysaccharide (LPS)-stimulated bone marrow-derived primary macrophages and ameliorated LPS-induced ALI in mice. Mechanistically, Tulipalin A directly targets the NF-κB p65 and disrupts its DNA binding activity, thereby impeding the activation of NF-κB. Inhibition of NF-κB attenuated M1 polarization of macrophages, consequently suppressing the production of pro-inflammatory mediators and ameliorating the onset and progression of ALI. These findings suggest Tulipalin A's potential to mitigate inflammatory disorders like ALI via targeting NF-κB p65 and disrupting its DNA binding activity.

Adenanthin exhibits anti-inflammatory effects by covalently targeting the p65 subunit in the NF-κB signaling pathway.

Adenanthin is a structurally unique ent-kaurane diterpenoid isolated from Rabdosia adenantha, a traditional Chinese medicinal plant with potent anti-cancer and anti-inflammatory activities. However, its anti-inflammatory molecular mechanism remains largely elusive to date. Here, we developed an affinity-based label-free protein profiling (ALFPP) to identify potential covalent targets of electrophilic natural products with ketone or aldehyde groups. Using ALFPP, we identified 27 potential covalent targets of adenanthin, among which p65 (RelA) has been associated with its anti-inflammatory activities. Through a series of experiments, including LC-MS/MS, molecular docking, electrophoretic mobility shift assays (EMSA), and genome editing, we demonstrated that adenanthin could covalently modify the Cys38 residue of p65 to affect the binding of DNA to p65, thereby inhibiting the NF-κB signaling pathway. ALFPP will facilitate the target identification of electrophilic carbonylated natural products, especially those containing α, ß-unsaturated keto groups. Furthermore, the elucidation of the molecular mechanism of adenanthin will contribute to new drug development of adenanthin to treat inflammations and cancers, enhancing the possibility for its clinical application.

Ecological Effects of the Huge Invasive Species Removal Project in Coastal China.

Saltmarsh wetlands are recognized as some of the most ecologically valuable yet vulnerable ecosystems globally. However, since the 1970s, saltmarsh wetlands in coastal China have been seriously threatened by the invasive Spartina alterniflora. Although the Chinese government has initiated a nationwide S. alterniflora removal project, the potential benefits and risks of this project remain unknown. Here, we focus on the Yangtze River Estuary Saltmarsh Wetland (YRESW) and simulate its future ecosystem structure, function, and quality under three scenarios based on remote sensing and field investigation data. The simulation scenarios include the absence of a removal project, natural regeneration postproject (NRP), and planted restoration postproject. The results show that the removal project will reverse the escalating invasion trend of S. alterniflora in the YRESW. Compared to the baseline year of 2022, there is a remarkable increase in ecosystem structure (composition: +107%, configuration: +27%) and ecosystem quality (+10.5%) under the NRP scenario. Although blue carbon storage sharply decreases under both scenarios involving project implementation, planted restoration can restore YRESW's carbon sequestration capacity to 0.19 Tg C per year, achieving 87% of the carbon storage present before the project. This study underscores the necessity of comprehensive and detailed risk assessments in ecological projects, particularly when dominant species are involved. Our findings hold significant implications for stabilizing coastal wetland ecosystems and promoting sustainable development in coastal areas.

Adverse reactions associated with nivolumab and small molecule antiangiogenic drugs: A pharmacovigilance analysis.

AIMS: Immune checkpoint inhibitors, such as nivolumab, combined with small molecule antiangiogenic receptor tyrosine kinase inhibitors (TKIs), present a promising strategy for future immunotherapy. However, combination therapy can lead to specific adverse drug reactions (ADRs) in various clinical settings. Current research on the ADRs associated with combination therapy is limited. Our study aims to assess the safety of combination therapy. METHODS: We extracted ADR reports on combination therapy from the Food and Drug Administration (FDA) Adverse Event Reporting System database, covering the period from the first quarter of 2012 to the third quarter of 2023, and conducted a large-scale retrospective study. We evaluated ADR risk signals using the reporting odds ratio (ROR) and calculated the Ro/e ratio to compare the differences in the risk of fatal ADRs among various tumour types. RESULTS: We comprehensively reported the occurrence of ADRs in pan-cancer patients undergoing combination therapy. The combination therapy significantly increased the risk of sensitive skin (ROR: 231.43, 95% CI: 55.01-973.72, P < .05), metastatic renal cell carcinoma (ROR: 220.71, 95% CI: 28.99-1695.41, P < .05) and renal cell carcinoma (ROR: 188.22, 95% CI: 44.24-800.85, P < .05). We also compared the differences in ADRs resulting from different small molecule drug combinations, as well as the differences in ADRs among patients with different types of tumours under combination therapy. Furthermore, we analysed the characteristics of patients prone to experiencing fatal ADRs. CONCLUSION: These results can help enhance understanding of the ADRs commonly associated with combination therapy and assist oncologists in formulating screening protocols.

MiR-196a Promotes Lipid Deposition in Goat Intramuscular Preadipocytes by Targeting MAP3K1 and Activating PI3K-Akt Pathway.

Meat quality in goats is partly determined by the intramuscular fat (IMF) content, which is associated with the proliferation and differentiation of intramuscular preadipocytes. Emerging studies have suggested that miRNA plays a crucial role in adipocyte proliferation and differentiation. In our recent study, we observed the expression variations in miR-196a in the longissimus dorsi muscle of Jianzhou goats at different ages. However, the specific function and underlying mechanism of miR-196a in IMF deposition are still unclear. This study demonstrated that miR-196a significantly enhanced adipogenesis and apoptosis and reduced the proliferation of preadipocytes. Subsequently, RNA-seq was employed to determine genes regulated by miR-196a, and 677 differentially expressed genes were detected after miR-196a overexpression. The PI3K-Akt pathway was identified as activated in miR-196a regulating intramuscular adipogenesis via Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and further verified via Western blot and rescue assays. Lastly, using RT-qPCR, Western blot, dual-luciferase, and rescue assays, we found that miR-196a promoted adipogenesis and suppressed the proliferation of intramuscular preadipocytes by the downregulation of MAP3K1. In summary, these results suggest that miR-196a regulates IMF deposition by targeting MAP3K1 and activating the PI3K-Akt pathway and provide a theoretical foundation for improving goat meat quality through molecular breeding.

Small molecule α-methylene-γ-butyrolactone, an evolutionarily conserved moiety in sesquiterpene lactones, ameliorates arthritic phenotype via interference DNA binding activity of NF-κB.

Rheumatoid arthritis (RA) is an inflammatory disease accompanied by abnormal synovial microenvironment (SM). Sesquiterpene lactones (SLs) are the main anti-inflammatory ingredients of many traditional herbs utilized in RA treatment. α-Methylene-γ-butyrolactone (α-M-γ-B) is a core moiety that widely exists in natural SLs. This study was designed to investigate the anti-arthritic potential of α-M-γ-B as an independent small molecule in vitro and in vivo. α-M-γ-B exhibited stronger electrophilicity and anti-inflammatory effects than the other six analogs. α-M-γ-B inhibited the production of pro-inflammatory mediators via repolarizing M1 macrophages into M2 macrophages. The transcriptome sequencing suggested that α-M-γ-B regulated the immune system pathway. Consistently, α-M-γ-B attenuated collagen type II-induced arthritic (CIA) phenotype, restored the balance of Tregs-macrophages and remodeled SM via repolarizing the synovial-associated macrophages in CIA mice. Mechanistically, although α-M-γ-B did not prevent the trans-nucleus of NF-κB it interfered with the DNA binding activity of NF-κB via direct interaction with the sulfhydryl in cysteine residue of NF-κB p65, which blocked the activation of NF-κB. Inhibition of NF-κB reduced the M1 polarization of macrophage and suppressed the synovial hyperplasia and angiogenesis. α-M-γ-B failed to ameliorate CIA in the presence of N-acetylcysteine or when the mice were subjected to the macrophage-specific deficiency of Rela. In conclusion, α-M-γ-B significantly attenuated the CIA phenotype by directly targeting NF-κB p65 and inhibiting its DNA binding ability. These results suggest that α-M-γ-B has the potential to serve as an alternative candidate for treating RA. The greater electrophilicity of α-M-γ-B, the basis for triggering strong anti-inflammatory activity, accounts for the reason why α-M-γ-B is evolutionarily conserved in the SLs by medical plants.

Rapid measurement of ethyl carbamate in Chinese liquor by fast gas chromatography photoionization-induced chemical ionization mass spectrometry.

As a common by-product during the production of alcoholic beverages, such as Chinese liquor, ethyl carbamate (EC) poses potential genotoxicity and is associated with the risk of various cancers. Hence, rapidly and accurately measuring the content of EC in liquor is critical to assess the product quality and risks of mass samples during the production process. In this study, a feasible method based on fast gas chromatography photoionization-induced chemical ionization mass spectrometry (FastGC-PICI-TOFMS) was developed for the analysis of EC in Chinese liquor. The rapid separation of EC in Chinese liquor was conducted using FastGC based on a thermostatic column set at 150 °C to eliminate the interferences of matrix effects. The PICI-TOFMS could realize accurate quantification of EC without any sample pre-treatment due to the efficient ionization of EC by the PICI source. As a result, the total analysis time for EC in Chinese liquor was less than 4 min. The limit of detection (LOD) for EC was 4.4 µg L-1. And the intra-day and inter-day precision were 3.2%-3.7 % and 1.6 %, respectively. Finally, the ability of the proposed method was preliminarily proved by high-throughput and accurate measurement of EC in four different flavors of Chinese liquors.

Potential causal link between dietary intake and epilepsy: a bidirectional and multivariable Mendelian randomization study.

Background: Epilepsy is a common neurological disease, and dietary intake has been suggested as a potential modifiable risk factor. However, the causality of associations between dietary intake and epilepsy remains uncertain. This study aimed to investigate the potential causal relationships between various dietary intakes and epilepsy using Mendelian randomization (MR) analysis. Methods: A two-sample MR approach was employed, utilizing genetic variants associated with dietary factors as instrumental variables (IVs). Genome-Wide Association Study (GWAS) summary data on dietary intakes were obtained from the UK Biobank, while data on epilepsy were sourced from the European Bioinformatics Institute. The number of genetic variants used as IVs varied for each dietary factor. Inverse-variance weighted (IVW), weighted median, MR-Egger, and Bayesian weighted MR (BWMR) methods were used to assess causality. Multivariable MR (MVMR) was performed, adjusting for potential confounders. Sensitivity analyses were conducted to evaluate the robustness of the findings. Results: The study identified a significant inverse association between non-oily fish intake and epilepsy risk (OR = 0.281, 95% CI: 0.099-0.801, p = 0.018) using the IVW method. This finding was corroborated by the BWMR analysis (OR = 0.277, 95% CI: 0.094-0.814, p = 0.020). The MVMR analysis further confirmed the protective effect of non-oily fish intake on epilepsy risk after adjusting for potential confounders. In the reverse MR analysis, epilepsy was associated with reduced water intake (OR = 0.989, 95% CI: 0.980-0.997, p = 0.011). Conclusion: The present MR study provides evidence of a causal, protective relationship between non-oily fish intake and reduced epilepsy risk. Additionally, the findings suggest that epilepsy may influence water intake patterns. These results contribute to our understanding of the role of dietary factors in epilepsy and may inform dietary recommendations for the management and prevention of this condition.

Management strategies and outcomes in pregnancy-related acute aortic dissection: a multicentre cohort study in China.

BACKGROUND: Acute aortic dissection (AD) in pregnancy poses a lethal risk to both mother and fetus. However, well-established therapeutic guidelines are lacking. This study aimed to investigate clinical features, outcomes and optimal management strategies for pregnancy-related AD. METHODS: We conducted a retrospective multicentre cohort study including 67 women with acute AD during pregnancy or within 12 weeks postpartum from three major cardiovascular centres in China between 2003 and 2021. Patient characteristics, management strategies and short-term outcomes were analysed. RESULTS: Median age was 31 years, with AD onset at median 32 weeks gestation. Forty-six patients (68.7%) had type A AD, of which 41 underwent immediate surgery. Overall maternal mortality was 10.4% (7/67) and fetal mortality was 26.9% (18/67). Compared with immediate surgery, selective surgery was associated with higher risk of composite maternal and fetal death (adjusted RR: 12.47 (95% CI 3.26 to 47.73); p=0.0002) and fetal death (adjusted RR: 8.77 (95% CI 2.33 to 33.09); p=0.001). CONCLUSIONS: Immediate aortic surgery should be considered for type A AD at any stage of pregnancy or postpartum. For pregnant women with AD before fetal viability, surgical treatment with the fetus in utero should be considered. Management strategies should account for dissection type, gestational age, and fetal viability. TRIAL REGISTRATION NUMBER: NCT05501145.

Mediating role of inner strength in the relationship between medication literacy and medication adherence among kidney transplant patients. / å† åœ¨åŠ›é‡åœ¨è‚¾ç§»æ¤æ‚£è€ è¯ç‰©ç´ å »ä¸Žæœè¯ä¾ä»Žæ€§å ³ç³»ä¸­çš„ä¸­ä»‹ä½œç”¨ï¼ˆè‹±æ–‡ï¼‰.

OBJECTIVES: Compared with long-term renal replacement therapy, kidney transplantation is the ideal treatment for end-stage renal disease (ESRD), significantly extending patient life and improving quality of life. Kidney transplant patients need to adhere to lifelong immunosuppressive medication regimens, but their medication adherence is generally poor compared with other organ transplant recipients. Medication adherence is closely related to medication literacy and psychological status, yet related studies are limited. This study aims to investigate the current status of medication adherence, inner strength, and medication literacy in kidney transplant patients, analyze the relationships among these 3 factors, and explore the mediating role of inner strength in the relationship between medication literacy and medication adherence. METHODS: A cross-sectional survey was conducted from March to October 2023 involving 421 patients aged≥18 years who visited kidney transplantation outpatient clinics at 4 tertiary hospitals in Hunan Province. The inner strength, medication literacy, and medication adherence of kidney transplant patients were investigated using the Inner Strength Scale (ISS), the Chinese version of the Medication Literacy Assessment in Spanish and English (MedLitRxSE), and the Chinese version of the Morisky Medication Adherence Scale-8 (C-MMAS-8), respectively. Univariate analysis was performed to examine the effects of demographic and clinical data on medication adherence. Correlation analysis was conducted to explore the relationships among medication literacy, medication adherence, and inner strength. Significant variables from univariate and correlation analyses were further analyzed using multiple linear regression, and the mediating effect of inner strength was explored. RESULTS: Among the 421 questionnaires collected, 408 were valid, with an effective rate of 96.91%. The scores of C-MMAS-8, MedLitRxSE, and ISS were 6.64±1.16, 100.63±14.67, and 8.47±4.03, respectively. Among the 408 patients, only 86 (21.08%) patients had a high level of medication adherence, whereas 230 (56.37%) patients had a medium level of medication adherence, and 92 (22.55%) patients had poor medication adherence. Univariate analysis indicated that the kidney transplant patients' age, marital status, education levels, years since their kidney transplant operation, number of hospitalizations after the kidney transplant, and adverse drug reactions showed significant differences in medication adherence (all P<0.05). Correlation analysis showed that inner strength positively correlated with both medication literacy (r=0.183, P<0.001) and medication adherence (r=0.201, P<0.001). Additionally, there was a positive correlation between medication adherence and medication literacy (r=0.236, P<0.001). Inner strength accounted for 13.22% of the total effect in the mediating role between medication literacy and medication adherence. CONCLUSIONS: The level of medication adherence among kidney transplant patients needs improvement, and targeted intervention measures are essential. Inner strength mediates the relationship between medication literacy and medication adherence in these patients. Healthcare professionals should focus on enhancing medication literacy and supporting patients' inner strength to improve medication adherence.

Novel prediction model of early screening lung adenocarcinoma with pulmonary fibrosis based on haematological index.

BACKGROUND: Lung cancer (LC), a paramount global life-threatening condition causing significant mortality, is most commonly characterized by its subtype, lung adenocarcinoma (LUAD). Concomitant with LC, pulmonary fibrosis (PF) and interstitial lung disease (ILD) contribute to an intricate landscape of respiratory diseases. Idiopathic pulmonary fibrosis (IPF) in association with LC has been explored. However, other fibrotic interrelations remain underrepresented, especially for LUAD-PF and LUAD-ILD. METHODS: We analysed data with statistical analysis from 7,137 healthy individuals, 7,762 LUAD patients, 7,955 ILD patients, and 2,124 complex PF patients collected over ten years. Furthermore, to identify blood indicators related to lung disease and its complications and compare the relationships between different indicators and lung diseases, we successfully applied the naive Bayes model for a biomarker-based prediction of diagnosis and development into complex PF. RESULTS: Males predominantly marked their presence in all categories, save for complex PF where females took precedence. Biomarkers, specifically AGR, MLR, NLR, and PLR emerged as pivotal in discerning lung diseases. A machine-learning-driven predictive model underscored the efficacy of these markers in early detection and diagnosis, with NLR exhibiting unparalleled accuracy. CONCLUSIONS: Our study elucidates the gender disparities in lung diseases and illuminates the profound potential of serum biomarkers, including AGR, MLR, NLR, and PLR in early lung cancer detection. With NLR as a standout, therefore, this study advances the exploration of indicator changes and predictions in patients with pulmonary disease and fibrosis, thereby improving early diagnosis, treatment, survival rate, and patient prognosis.

Inflammatory signature-based theranostics for acute lung injury in acute type A aortic dissection.

Acute lung injury (ALI) is a serious adverse event in the management of acute type A aortic dissection (ATAAD). Using a large-scale cohort, we applied artificial intelligence-driven approach to stratify patients with different outcomes and treatment responses. A total of 2,499 patients from China 5A study database (2016-2022) from 10 cardiovascular centers were divided into 70% for derivation cohort and 30% for validation cohort, in which extreme gradient boosting algorithm was used to develop ALI risk model. Logistic regression was used to assess the risk under anti-inflammatory strategies in different risk probability. Eight top features of importance (leukocyte, platelet, hemoglobin, base excess, age, creatinine, glucose, and left ventricular end-diastolic dimension) were used to develop and validate an ALI risk model, with adequate discrimination ability regarding area under the receiver operating characteristic curve of 0.844 and 0.799 in the derivation and validation cohort, respectively. By the individualized treatment effect prediction, ulinastatin use was significantly associated with significantly lower risk of developing ALI (odds ratio [OR] 0.623 [95% CI 0.456, 0.851]; P = 0.003) in patients with a predicted ALI risk of 32.5-73.0%, rather than in pooled patients with a risk of <32.5 and >73.0% (OR 0.929 [0.682, 1.267], P = 0.642) (Pinteraction = 0.075). An artificial intelligence-driven risk stratification of ALI following ATAAD surgery were developed and validated, and subgroup analysis showed the heterogeneity of anti-inflammatory pharmacotherapy, which suggested individualized anti-inflammatory strategies in different risk probability of ALI.

Biomass-Derived Carbon Materials for Electrochemical Sensing: Recent Advances and Future Perspectives.

In recent years, biomass carbon materials have received widespread attention in the field of electrochemical sensors. As a new type of renewable green energy, biomass carbon has the advantages of low cost and abundant resources. After special treatment, it can be used as an ideal electrode material. Since biomass carbon materials have diverse sources and their morphology is difficult to control, researchers have conducted in-depth research on their preparation process, morphology regulation and application. This review summarizes different biomass carbon structures and their preparation methods and explores the applications of these materials in electrochemical sensors. Modification of biomass carbon materials through pretreatment, physical and chemical activation, heteroatom doping, metal compound composite and other methods can make up for the deficiencies in its pore structure, electrical conductivity and surface wettability, thereby improving its electrochemical performance. The effects of different biomass sources, functional groups, constituent elements and modification methods on the morphology, structure and electrochemical properties of biomass carbon materials are discussed, and the applications of this type of material in biological molecules, heavy metal ions and pesticide residues are reviewed. Biomass carbon-based materials show great application potential and development prospects in the field of electrochemical sensors.

A Pilot HRCT Follow-Up Study to Test the Feasibility of Predictive Efficacy of Serum Periostin in Idiopathic Pulmonary Fibrosis.

Background: While serum periostin and Krebs von den Lungen-6 (KL-6) have been acknowledged as independent markers in idiopathic pulmonary fibrosis (IPF) diagnosis, the clinical combinatory potential of these biomarkers combined with high-resolution computed tomography (HRCT) has yet to be fully explored. Methods: This retrospective study involved 78 participants, comprising 51 UIP-IPF patients and 27 healthy controls. All subjects underwent clinical and laboratory examinations, particularly the detection of periostin and KL-6 using ELISA with innovative HRCT fibrosis score evaluations at admission and discharge during hospitalization in UIP-IPF patients. Results: In our cohort of patients with IPF, predominantly male, over an average follow-up period of 195.27 days. Serum levels of periostin and KL-6 were significantly elevated in IPF patients compared to healthy controls (*p < 0.05). Post-treatment, KL-6 levels decreased significantly, while periostin levels increased. Notably, periostin exhibited superior prognostic accuracy over KL-6, with a higher AUC of 0.875 than 0.639 in ROC analysis. An increase in periostin levels correlated with disease progression, as evidenced by worsened HRCT fibrotic scores and decreased survival probability. These findings underscore periostin's potential as a reliable biomarker for assessing IPF severity and therapeutic response. Conclusion: Our findings underscore the preeminence of serum periostin over KL-6 in UIP-IPF diagnosis, particularly when conjoined with HRCT fibrosis score.