Gut microbiome and metabolome profiling in coal workers' pneumoconiosis: potential links to pulmonary function.

Coal workers' pneumoconiosis (CWP) is a severe occupational disease resulting from prolonged exposure to coal dust. However, its pathogenesis remains elusive, compounded by a lack of early detection markers and effective treatments. Although the impact of gut microbiota on lung diseases is acknowledged, its specific role in CWP is unclear. This study aims to explore changes in the gut microbiome and metabolome in CWP, while also assessing the correlation between gut microbes and alterations in lung function. Fecal specimens from 43 CWP patients and 48 dust-exposed workers (DEW) were examined using 16S rRNA gene sequencing for microbiota and liquid chromatography-mass spectrometry for metabolite profiling. We observed similar gut microbial α-diversity but significant differences in flora composition (ß-diversity) between patients with CWP and the DEW group. After adjusting for age using multifactorial linear regression analysis (MaAsLin2), the distinct gut microbiome profile in CWP patients revealed an increased presence of pro-inflammatory microorganisms such as Klebsiella and Haemophilus. Furthermore, in CWP patients, alterations in gut microbiota-particularly reduced α-diversity and changes in microbial composition-were significantly correlated with impaired pulmonary function, a relationship not observed in DEW. This underscores the specific impact of gut microbiota on pulmonary health in individuals with CWP. Metabolomic analysis of fecal samples from CWP patients and DEW identified 218 differential metabolites between the two groups, with a predominant increase in metabolites in CWP patients, suggesting enhanced metabolic activity in CWP. Key altered metabolites included various lipids, amino acids, and organic compounds, with silibinin emerging as a potential biomarker. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis linked these metabolites to pathways relevant to the development of pulmonary fibrosis. Additionally, studies on the interaction between microbiota and metabolites showed positive correlations between certain bacteria and increased metabolites in CWP, further elucidating the complex interplay in this disease state. Our findings suggest a potential contributory role of gut microbiota in CWP pathogenesis through metabolic regulation, with implications for diagnostic biomarkers and understanding disease mechanisms, warranting further molecular investigation. IMPORTANCE: The findings have significant implications for the early diagnosis and treatment of coal workers' pneumoconiosis, highlighting the potential of gut microbiota as diagnostic biomarkers. They pave the way for new research into gut microbiota-based therapeutic strategies, potentially focusing on modifying gut microbiota to mitigate disease progression.

Utilization of the GOAL questionnaire as a standardized screening tool for obstructive sleep apnea.

The purpose of our study was to evaluate the application value of the GOAL questionnaire in screening obstructive sleep apnea (OSA) and to compare it with the other three questionnaires in sleep clinics. A cross-sectional study was conducted in 436 patients who had undergone nocturnal polysomnography in the sleep unit of the First Hospital of Shanxi Medical University between September 2021 and May 2022, and all patients completed the four questionnaires (GOAL questionnaire, STOP-Bang questionnaire, NoSAS score and No-Apnea score) truthfully, and the patients were divided into 3 groups: AHI ≥ 5 events/h group, AHI ≥ 15 events/h group and AHI ≥ 30 events/h group. The predictive effect of the questionnaire on different AHI cut-off values was calculated, and performance of four questionnaires was assessed by the discriminatory ability. This study ultimately included 410 patients, and there were statistically significant differences in gender, age, BMI, neck circumference, clinical symptoms, hypertension, diabetes, AHI, and minimum oxygen saturation between OSA and non-OSA groups (P < 0.05). The AUC for No-Apnea score was 0.79, the AUC for STOP-Bang questionnaire was 0.86, the AUC for NoSAS score was 0.81, and the AUC for GOAL questionnaire was 0.77. These four questionnaires were effective in screening OSA when AHI ≥ 15 events/h. Similar to No-Apnea score, STOP-Bang score and NoSAS score, GOAL questionnaire has a good predictive value for OSA, which is a questionnaire suitable for primary health-care centers and clinics.

Envonalkib versus crizotinib for treatment-naive ALK-positive non-small cell lung cancer: a randomized, multicenter, open-label, phase III trial.

Anaplastic lymphoma kinase (ALK) rearrangements are present in about 5-6% of non-small cell lung cancer (NSCLC) cases and associated with increased risks of central nervous system (CNS) involvement. Envonalkib, a novel ALK inhibitor, demonstrated promising anti-tumor activity and safety in advanced ALK-positive NSCLC in the first-in-human phase I study. This phase III trial (ClinicalTrials.gov NCT04009317) investigated the efficacy and safety of first-line envonalkib in advanced ALK-positive NSCLC cases. Totally 264 participants were randomized 1:1 to receive envonalkib (n = 131) or crizotinib (n = 133). Median independent review committee (IRC)-assessed progression-free survival (PFS) times were 24.87 (95% confidence interval [CI]: 15.64-30.36) and 11.60 (95% CI: 8.28-13.73) months in the envonalkib and crizotinib groups, respectively (hazard ratio [HR] = 0.47, 95% CI: 0.34-0.64, p < 0.0001). IRC-assessed confirmed objective response rate (ORR) was higher (81.68% vs. 70.68%, p = 0.056) and duration of response was longer (median, 25.79 [95% CI, 16.53-29.47] vs. 11.14 [95% CI, 9.23-16.59] months, p = 0.0003) in the envonalkib group compared with the crizotinib group. In participants with baseline brain target lesions, IRC-assessed CNS-ORR was improved with envonalkib compared with crizotinib (78.95% vs. 23.81%). Overall survival (OS) data were immature, and median OS was not reached in either group (HR = 0.84, 95% CI: 0.48-1.47, p = 0.5741). The 12-month OS rates were 90.6% (95% CI, 84.0%-94.5%) and 89.4% (95% CI, 82.8%-93.6%) in the envonalkib and crizotinib groups, respectively. Grade ≥3 treatment-related adverse events were observed in 55.73% and 42.86% of participants in the envonalkib and crizotinib groups, respectively. Envonalkib significantly improved PFS and delayed brain metastasis progression in advanced ALK-positive NSCLC.

Sphingosine 1-phosphate Stimulates Insulin Secretion and Improves Cell Survival by Blocking Voltage-dependent K+ Channels in ß Cells.

Recent studies suggest that Sphingosine 1-phosphate (S1P) plays an important role in regulating glucose metabolism in type 2 diabetes. However, its effects and mechanisms of promoting insulin secretion remain largely unknown. Here, we found that S1P treatment decreased blood glucose level and increased insulin secretion in C57BL/6 mice. Our results further showed that S1P promoted insulin secretion in a glucose-dependent manner. This stimulatory effect of S1P appeared to be irrelevant to cyclic adenosine monophosphate signaling. Voltage-clamp recordings showed that S1P did not influence voltage-dependent Ca2+ channels, but significantly blocked voltage-dependent potassium (Kv) channels, which could be reversed by inhibition of phospholipase C (PLC) and protein kinase C (PKC). Calcium imaging revealed that S1P increased intracellular Ca2+ levels, mainly by promoting Ca2+ influx, rather than mobilizing intracellular Ca2+ stores. In addition, inhibition of PLC and PKC suppressed S1P-induced insulin secretion. Collectively, these results suggest that the effects of S1P on glucose-stimulated insulin secretion (GSIS) depend on the inhibition of Kv channels via the PLC/PKC signaling pathway in pancreatic ß cells. Further, S1P improved ß cell survival; this effect was also associated with Kv channel inhibition. This work thus provides new insights into the mechanisms whereby S1P regulates ß cell function in diabetes.

Label-free LC-MS/MS shotgun proteomics to investigate the anti-inflammatory effect of rCC16.

Clara cell protein (CC16) is an anti-inflammatory protein, which is expressed in the airway epithelium. It is involved in the development of airway inflammatory diseases, including chronic obstructive pulmonary disease and asthma. However, the exact molecular mechanism underlying its anti­inflammatory action remains to be fully elucidated. The aim of the present study was to define the protein profiles of the anti­inflammatory effect of CC16 in lipopolysaccharide (LPS)­treated rat tracheal epithelial (RTE) cells using shotgun proteomics. Protein extracts were obtained from control RTE cells, RTE cells treated with LPS and RTE cells treated with LPS and recombinant CC16 (rCC16). Subsequent label­free quantification and bioinformatics analyses identified 12 proteins that were differentially expressed in the three treatment groups as a cluster of five distinct groups according to their molecular functions. Five of the twelve proteins were revealed to be associated with the cytoskeleton: Matrix metalloproteinase­9, myosin heavy chain 10, actin­related protein­3 homolog, elongation factor 1­α­1 (EF­1­α­1), and acidic ribosomal phosphoprotein P0. Five of the twelve proteins were associated with cellular proliferation: DNA­dependent protein kinase catalytic subunit, EF­1­α­1, tyrosine 3­monooxygenase, caspase recruitment domain (CARD) protein 12 and adenosylhomocysteinase (SAHH) 3. Three proteins were associated with gene regulation: EF­1­α­1, SAHH 3 and acidic ribosomal phosphoprotein P0. Three proteins were associated with inflammation: Tyrosine 3­monooxygenase, CARD protein 12 and statin­related protein. ATPase (H+­transporting, V1 subunit A, isoform 1) was revealed to be associated with energy metabolism, and uridine diphosphate glycosyltransferase 1 family polypeptide A8 with drug metabolism and detoxification. The identified proteins were further validated using reverse transcription­quantitative polymerase chain reaction. These protein profiles, and their interacting protein network, may facilitate the elucidation of the molecular mechanisms underlying the anti­inflammatory effects of CC16.