Unexpected rare uterine carcinosarcoma with neuroendocrine differentiation: Reflections on clinical diagnosis and treatment of a case report.

RATIONALE: Uterine carcinosarcoma (UCS) is a rare and highly invasive malignant tumor.It exhibits an ectopic growth pattern of the uterus,and its histological features are biphasic differentiation of malignant epithelial components (cancer) and malignant mesenchymal components (sarcoma). The pathological pattern of high-component neuroendocrine differentiation is extremely rare. Due to the inherent heterogeneity of tumors, it increases the difficulty of accurate identification and diagnosis. The author introduces a rare case of primary endometrial carcinosarcoma (heterologous) with small cell neuroendocrine carcinoma (SCNEC) components. There is limited literature on this rare pathological differentiation pattern and a lack of guidelines for the best treatment methods, which prompts reflection on the diagnosis, optimal treatment strategies, and how preoperative diagnosis can affect patient prognosis for endometrial carcinosarcoma with neuroendocrine differentiation. PATIENT CONCERNS: The patient is an elderly woman who presents with abnormal vaginal bleeding after menopause. Transvaginal ultrasound examination shows that the uterus is slightly enlarged, and there is a lack of homogeneous echogenicity in the uterine cavity. Subsequently, a hysteroscopic curettage was performed, and a space-occupying lesion was observed on the anterior wall of the uterine cavity. DIAGNOSES: Preoperative endometrial biopsy revealed SCNEC of the endometrium. The patient underwent radical hysterectomy, and the postoperative pathological results showed that UCS (heterologous) was accompanied by SCNEC components (about 80%). INTERVENTION: The patient received radical hysterectomy, followed by adjuvant chemotherapy. OUTCOME: After 7 months of follow-up, no tumor recurrence or metastasis was found at the time of writing this article. LESSONS: The histological type of UCS (heterologous) with cell neuroendocrine carcinoma components is rare and highly invasive, with a high misdiagnosis rate in preoperative biopsy. There are currently no effective treatment guidelines for this type of case. The unusual appearance of SCNEC components in this case poses a challenge for both pathologists and surgeon. The rare differentiation pattern of this case exposes the complexity of its management and the necessity of prospective trials to determine the optimal treatment plan.

A rapid on-site visualization platform based on RPA coupled with CRISPR-Cas12a for the detection of genetically modified papaya 'Huanong No.1'.

The Papaya ringspot virus (PRSV)-resistant genetically modified (GM) papaya 'Huanong No.1' has been certified as safe for consumption and widely planted in China for about 18 years. To protect consumers' rights and facilitate government supervision and monitoring, it is necessary to establish a simple, rapid, and specific detection method for 'Huanong No.1'. Herein, we developed a platform based on recombinase polymerase amplification (RPA) coupled with CRISPR-Cas12a for the detection of 'Huanong No.1'. The RPA-CRISPR-Cas12a platform was found to have high specificity, with amplification signals only present in 'Huanong No.1'. Additionally, the platform was highly sensitive, with a limit of detection (LOD) of approximately 20 copies. The detection process was fast and could be completed in less than 1 h. This novel platform enables the rapid on-site visualization detection of 'Huanong No.1', eliminating dependence on laboratory conditions and specialized instruments, and can serve as a technical reference for the rapid detection of other GM plants.

A study of the evolutionary game of carbon offset involving tourism stakeholders under incentive and constraint mechanisms.

Tourism carbon offsetting is a crucial pathway to achieving peak carbon and carbon neutrality in the tourism industry. Accurately grasping the collaborative evolutionary mechanisms among local governments, tourism enterprises, and tourists is key to promoting the implementation of tourism carbon offsetting. By constructing an evolutionary game model involving local governments, tourism enterprises, and tourists in carbon offsetting, this study uses MATLAB to simulate the evolutionary stable strategies under various conditions. Additionally, it dynamically simulates the collaborative strategies of the three parties under the influence of local government incentive and constraint mechanisms. The results indicate that under strong governmental constraint mechanisms, there is a promotion of active participation in carbon offsetting by local governments, tourism enterprises, and tourists. Incentive policies at certain levels also play a positive guiding role. As incentives increase, local subsidies and intervention costs also rise, leading to an evolution towards less enthusiastic participation among the three parties. Appropriately balanced government incentives and penalties are beneficial in achieving an equilibrium of benefits among multiple stakeholders involved in carbon offsetting, thus helping to attain carbon neutrality goals.

A meta-analysis of the relationship between abnormal pretreatment EEG and epilepsy recurrence.

BACKGROUND: Researchers have studied the risk factors for epilepsy recurrence among patients who withdraw from antiseizure medication (ASM). These studies aimed to determine the optimal time for ASM withdrawal. EEG findings are one of the risk factors that has been studied. However, it remains unclear whether abnormal pretreatment EEG findings are a risk factor for recurrence after ASM withdrawal. We performed this meta-analysis to clarify this issue. METHODS: We retrieved literature from the PubMed and Embase databases, and used the NewcastleOttawa Scale to evaluate the methodological quality of the included studies. RevMan 5.3 software was used to analyse the data. RESULTS: In total,710 articles were retrieved from the databases. Ultimately, after screening, 11 articles involving 1686 patients with epilepsy were included. Compared with that for a normal EEG, the odds ratio (OR) for an abnormal EEG was 1.10 (P=0.50), with an I2 value of 32% (P=0.15). Subgroup analysis revealed that the children-to-adolescents subgroup had an OR of 1.21 (P=0.27), and the children-to-adults subgroup had an OR of 0.64 (P=0.14) for an abnormal EEG. A separate subgroup analysis revealed that the focal epilepsy subgroup had an OR of 1.30 (P=0.37), and the generalized epilepsy and focal epilepsy subgroup had an OR of 1.07 (P=0.67) for an abnormal EEG. CONCLUSIONS: The risk of epilepsy recurrence is not related to pretreatment EEG findings, regardless of age or epilepsy classification. The associations of pre- and posttreatment EEG alterations with epilepsy recurrence are controversial. Due to the limitations of our article, further research is needed.

An updated review of immunotherapy in esophageal cancer: PD-L1 footprint.

Esophageal cancer is considered one of the most significant challenges to public health worldwide. While various therapeutic options exist for esophageal cancer, including chemotherapy, radiotherapy, and surgery, several adverse effects of these medications have been reported. Therefore, a new generation of therapeutic lines should be applied to minimize complications. In this regard, immunotherapy is a novel approach that aims to kill tumor cells directly by targeting them. Specifically, monoclonal antibodies can target specific markers of esophageal cancer tumor cells, keeping other normal cells safe. Multiple monoclonal antibodies optimized for esophageal cancer, such as pembrolizumab, ramucirumab, trastuzumab, nivolumab, and ipilimumab, are available. On the other hand, esophageal cancer tumor cells express a specific inhibitory ligand and its receptor called programmed cell death, which can suppress T cell immune responses. This receptor provides an inhibitory signal, causing the highest expression of the PD-L1 ligand on tumor cells. The outcomes of this interaction lead to the suppression of the activation and function of T lymphocytes. Therefore, immunotherapy for esophageal cancer targeting the PD-1/PD-L1 pathway has shown a remarkable correlation with cancer care. This study presents a comprehensive review of the latest findings related to immunotherapy in esophageal cancer.

Effect of Combining Intrauterine Cerebral Blood Flow Changes with Electrical Activity on Prognostic Evaluation of Brain Injury.

OBJECTIVES: We sought to investigate the value of combining intrauterine cerebral blood flow changes with brain electrical activity examination in evaluating the prognosis of brain injury. METHODS: A total of 90 preterm infants were enrolled and divided into 2 groups: the brain damaged preterm infants group (n = 55) and the nonbrain damaged preterm infants group (n = 35). The diagnostic efficacy of combining intrauterine cerebral blood flow changes with electroencephalogram (EEG) activity examination in predicting the prognosis of preterm infants with brain injury was evaluated using T-test. Pearson linear correlation was applied to analyze the relationship between fetal intrauterine cerebral blood flow changes combined with electrical activity examination and the prognosis of brain injury. RESULTS: Significant differences were seen in pulse index, the ratio of peak systolic velocity to end diastolic velocity ratio, and other indexes between the 2 groups (P < 0.05). The combined approach of intrauterine cerebral blood flow changes with EEG activity examination demonstrated significantly higher values for area under the curve, sensitivity and negative predictive value compared to using intrauterine cerebral blood flow changes or EEG activity examination alone (P < 0.05). A positive correlation was found between fetal intrauterine cerebral blood flow and electrical activity examination (P < 0.05). CONCLUSIONS: Combining the assessment of intrauterine cerebral blood flow changes with cerebral electrical activity examination proved beneficial in diagnosing the prognosis of brain injury and provided an important reference for early clinical intervention.

Magnetically modified bacteriophage-triggered ATP release activated EXPAR-CRISPR/Cas14a system for visual detection of Burkholderia pseudomallei.

Burkholderia pseudomallei, widely distributed in tropical and subtropical ecosystems, is capable of causing the fatal zoonotic disease melioidosis and exhibiting a global trend of dissemination. Rapid and sensitive detection of B. pseudomallei is essential for environmental monitoring as well as infection control. Here, we developed an innovative biosensor for quantitatively detecting B. pseudomallei relies on ATP released triggered by bacteriophage-induced bacteria lysis. The lytic bacteriophage vB_BpP_HN01, with high specificity, is employed alongside magnetic nanoparticles assembly to create a biological receptor, facilitating the capture and enrichment of viable target bacteria. Following a brief extraction and incubation process, the captured target undergoes rapid lysis to release contents including ATP. The EXPAR-CRISPR cascade reaction provides an efficient signal transduction and dual amplification module that allowing the generated ATP to guide the signal output as an activator, ultimately converting the target bacterial amount into a detectable fluorescence signal. The proposed bacteriophage affinity strategy exhibited superior performance for B. pseudomallei detection with a dynamic range from 10^2 to 10^7 CFU mL-1, and a LOD of 45 CFU mL-1 within 80 min. Moreover, with the output signal compatible across various monitoring methods, this work offers a robust assurance for rapid diagnosis and on-site environmental monitoring of B. pseudomallei.

The Antioxidant Action of Astragali radix: Its Active Components and Molecular Basis.

Astragali radix is a traditional medicinal herb with a long history and wide application. It is frequently used in prescriptions with other medicinal materials to replenish Qi. According to the classics of traditional Chinese medicine, Astragali radix is attributed with properties such as Qi replenishing and surface solidifying, sore healing and muscle generating, and inducing diuresis to reduce edema. Modern pharmacological studies have demonstrated that some extracts and active ingredients in Astragali radix function as antioxidants. The polysaccharides, saponins, and flavonoids in Astragali radix offer beneficial effects in preventing and controlling diseases caused by oxidative stress. However, there is still a lack of comprehensive research on the effective components and molecular mechanisms through which Astragali radix exerts antioxidant activity. In this paper, we review the active components with antioxidant effects in Astragali radix; summarize the content, bioavailability, and antioxidant mechanisms; and offer a reference for the clinical application of Astragalus and the future development of novel antioxidants.

Long non-coding RNA SRA1 suppresses radiotherapy resistance in esophageal squamous cell carcinoma by modulating glycolytic reprogramming.

Esophageal squamous cell carcinoma (ESCC), a highly aggressive subtype of esophageal cancer, is characterized by late-stage diagnosis and limited treatment options. Recent advancements in transcriptome sequencing technologies have illuminated the molecular intricacies of ESCC tumors, revealing metabolic reprogramming as a prominent feature. Specifically, the Warburg effect, marked by enhanced glycolysis, has emerged as a hallmark of cancer, offering potential therapeutic targets. In this study, we comprehensively analyzed bulk RNA-seq data from ESCC patients, uncovering elevated SRA1 expression in ESCC development and a poorer prognosis. Silencing of SRA1 led to a modulation of glycolysis-related products and a shift in PKM2 expression. Our findings shed light on the intricate molecular landscape of ESCC, highlighting SRA1 as a potential therapeutic target to disrupt glycolysis-dependent energy production. This metabolic reprogramming may hold the key to innovative treatment strategies for ESCC, ultimately improving patient outcomes.

Effect of angled abutments in the posterior maxillary region on tilted implants: a 3D finite element analysis.

The aim of this study was to evaluate the bone tissue effects under dynamic loading using finite element analysis (FEA) for four angled abutments with different deviated palatal lateral tilt angles. A three-dimensional model of the posterior maxillary region and an implant crown model were reconstructed and assembled with a three-dimensional model of the implant, angled abutment, and central screw to create a total of 10 three-dimensional finite element models tilted at 15 ∘ , 20 ∘ , 25 ∘ , and 30 ∘ in three groups, and the dynamic loads simulating oral mastication were loaded on the implant crown to analyze the equivalent stresses and strains in the peri-implant bone tissues. Under the dynamic loading, the cortical bone on the buccal side of the implant neck showed different degrees of stress concentration, and the cortical bone stress was much higher than the cancellous bone, and the strain concentration area of each model was located in the bone tissue around the implant neck and base. For the use of angular abutment, under the premise that the cortical bone stresses and strains of the 10 models meet the requirements for use, the peak stresses of 2.907 MPa, 3.018 MPa, and 2.164 MPa were achieved by using the 20 ∘ angular abutment to achieve the tilt angles of 20 ∘ , 25 ∘ , and 30 ∘ implantation, which is more advantageous compared with other models.

Renal Hypodysplasia/Aplasia 3 Caused by a Rare Variant of GREB1L With Incomplete Penetrance in a Chinese Family.

Renal agenesis represents the most severe form of congenital anomalies of the kidney and urinary tract. Bilateral renal agenesis is almost invariably fatal at birth and has high genetic heterogeneity. Here we report on a Chinese family with two pregnancies affected by a prenatal form of bilateral renal agenesis. Trio-WES was conducted to explore the underlying genetic cause and identified a novel nonsense variant (c .2621G>A: p. Trp874Ter) in the GREB1L gene. Based on previous research, pathogenic mutations in GREB1L can cause renal hypodysplasia/aplasia-3 (RHDA3) with autosomal dominant inheritance. Sanger sequencing performed on the family members revealed that the variant was vertically transmitted from the maternal grandfather through the unaffected mother to the two affected fetuses, fully demonstrating the incomplete dominance of the disease. Our study extends the mutational spectrum associated with RHDA3 and contributes to a more general understanding for the complex genetic inheritance of GREB1L.

Complete Genome Sequences of Four Mycobacteriophages Involved in Directed Evolution against Undisputed Mycobacterium abscessus Clinical Strains.

Phage therapy is still in its infancy, but it is increasingly promising as a future alternative for treating antibiotic-resistant bacteria. To investigate the effect of phages on Mycobacterium abscessus complex (MABC), we isolated 113 environmental phages, grown them to high titres, and assayed them on MABC clinical strains through the spot test. Of all the phages, only 16 showed killing activity. Their activity was so temperate to MABC that they could not generate any plaque-forming units (PFUs). The Appelmans method of directed evolution was carried out to evolve these 16 phages into more lytic ones. After only 11 of 30 rounds of evolution, every single clinical strain in our collection, including those that were unsusceptible up to this point, could be lysed by at least one phage. The evolved phages were able to form PFUs on the clinical strains tested. Still, they are temperate at best and require further training. The genomes of one random parental phage and three random evolved phages from Round 13 were sequenced, revealing a diversity of clusters and genes of a variety of evolutionary origins, mostly of unknown function. These complete annotated genomes will be key for future molecular characterisations.

Randomness-Enhanced Expressivity of Quantum Neural Networks.

As a hybrid of artificial intelligence and quantum computing, quantum neural networks (QNNs) have gained significant attention as a promising application on near-term, noisy intermediate-scale quantum devices. Conventional QNNs are described by parametrized quantum circuits, which perform unitary operations and measurements on quantum states. In this Letter, we propose a novel approach to enhance the expressivity of QNNs by incorporating randomness into quantum circuits. Specifically, we introduce a random layer, which contains single-qubit gates sampled from a trainable ensemble pooling. The prediction of QNN is then represented by an ensemble average over a classical function of measurement outcomes. We prove that our approach can accurately approximate arbitrary target operators using Uhlmann's theorem for majorization, which enables observable learning. Our proposal is demonstrated with extensive numerical experiments, including observable learning, Rényi entropy measurement, and image recognition. We find the expressivity of QNNs is enhanced by introducing randomness for multiple learning tasks, which could have broad application in quantum machine learning.

Knockout of KDM3A in MDA-MB-231 breast cancer cells inhibits tumor malignancy and promotes apoptosis.

The histone lysine demethylase 3 A (KDM3A) is vital for the regulation of cancer physiology and pathophysiology. The purpose of this study was to investigate the effect of KDM3A expression with triple-negative breast cancer (TNBC) invasion and metastasis. In our results, knockout of KDM3A in TNBC MDA-MB-231 cells promoted apoptosis and inhibited the proliferation, invasion and metastasis of MDA-MB-231 cells. In addition, we found that in vivo experiments indicated that the growth, invasion and metastasis of metastatic neoplasms were significantly inhibited by knockout of KDM3A in a TNBC metastasis model. These findings suggest that KDM3A may be a potential therapeutic target for the treatment and prevention of TNBC, providing a critical theoretical basis for the effective prevention or treatment of breast cancer disease.

Simplified Chinese version of the PROMIS Pediatric-25 profile: A validation study among cancer children.

PURPOSE: Pediatric cancer is a significant health concern in China, and evaluating the impact of cancer and its treatment on the well-being of young patients is essential for both clinical care and research purposes. This study aimed to psychometrically validate the Patient-reported Outcomes Measurement Information System Pediatric-25 Profile (PROMIS-Pediatric-25) among Chinese children with cancer. DESIGN AND METHODS: We enrolled a group of 114 children living with cancer between the ages of 8 and 17. Each participant completed questionnaires that covered sociodemographic and clinical information and the PROMIS-Pediatric-25. The floor and ceiling effect was examined. Cronbach's alpha and split-half coefficient were examined to determine the reliability. Factor structure was explored by factor analysis. Three assumptions of Rasch model-based item response theory (IRT) were assessed. Differential item functioning (DIF) was investigated concerning factors of gender, diagnosis, and treatment stage. RESULTS: The floor or ceiling effects were detected for six domains. The reliability was found to be excellent. Furthermore, the factor structure of these six domains was validated. Our analysis confirmed that the assumptions required for IRT were met with acceptable unidimensionality, local independence, and good monotonicity. Additionally, we observed measurement equivalence, with outstanding levels of DIF across factors such as gender, diagnosis, and treatment stage. CONCLUSION: PROMIS-Pediatric 25 is a highly reliable and valid instrument for evaluating key domains of health-related quality of life in Chinese pediatric cancer patients. PRACTICE IMPLICATION: Nursing practice could engage the PROMIS-Pediatric 25 for accurate and quick children symptom and function assessment.

Hippocampal estrogens rescued the decline of synaptic plasticity after surgery and anesthesia by inhibiting microglia overactivation.

BACKGROUND: Elderly patients experience postoperative cognitive impairment frequently; therefore, effective interventions are urgently needed. Central nervous inflammation characterized by microglia may promote the progression of POCD by reducing synaptic plasticity. Notably, clinical studies revealed that the incidence of female patients was significantly lower than that of male patients. Besides, the brain estrogens have an anti-inflammatory effect and regulate the microglia at the same times. This study aimed to determine whether suppressing microglia overactivation by hippocampal estrogens can rescue the decrease of synaptic plasticity after surgery and anesthesia. METHODS: Exploratory laparotomy was used to establish the POCD model in 15-month-old male or female C57BL/6 J mice and animal behavioral tests were performed to test hippocampal-dependent memory capacity. Western blot and immunofluorescence were used to detect the microglial activation and plasticity related protein expressions. Elisa was used to detect the content of estrogens in the hippocampus. Estrogens and estrogen receptor inhibitor were used to replenish the estrogens in the brain and inhibit the effect of estrogens. RESULTS: Surgery and anesthesia did not cause POCD in female mice (P > 0.05), while the cognitive function decreased significantly after estrogen receptor inhibitor was given(P < 0.05). Male mice experienced cognitive dysfunction after surgery and anesthesia, and their cognitive function improved after estrogens supplementation (P < 0.05). Given estrogens and estrogen receptor inhibitors at the same time, the cognitive function of male mice could not be saved (P < 0.05). By correlation analysis, there was a negative correlation between the content of hippocampal estrogens and microglia (P < 0.05). The number or degree of activation of microglia affected the synaptic plasticity, which ultimately regulated the cognitive function of mice. CONCLUSION: Hippocampal estrogens rescued the decline of synaptic plasticity after surgery and anesthesia by inhibiting microglia overactivation.

Multiomics was used to clarify the mechanism by which air pollutants affect chronic obstructive pulmonary disease: A human cohort study.

Exposure to air pollutants has been associated with various adverse health outcomes, including chronic obstructive pulmonary disease (COPD). However, the precise underlying mechanism by which air pollution impacts COPD through remains insufficiently understood. To elucidated the molecular mechanism by which air pollutant exposure contributes to alterations in the gut microbiome and metabolism in AECOPD patients, we employed metagenomics and untargeted metabolomics to analyse the gut microbial, faecal, and serum metabolites. The correlations among air pollutants, gut microbes, serum metabolites, and blood biochemical markers were assessed using generalised additive mixed models and Spearman correlation analysis. The findings revealed that for every 10 µg/m3 increase in PM2.5 concentration, the α-diversity of the gut flora decreased by 2.16% (95% CI: 1.80%-2.53%). We found seven microorganisms that were significantly associated with air pollutants, of which Enterococcus faecium, Bacteroides fragilis, Ruthenibacterium lactatiformans, and Subdoligranulum sp.4_3_54A2FAA were primarily associated with glycolysis. We identified 13 serum metabolites and 17 faecal metabolites significantly linked to air pollutants. Seven of these metabolites, which were strongly associated with air pollutants and blood biochemical indices, were found in both serum and faecal samples. Some of these metabolites, such as 2,5-furandicarboxylic acid, C-8C1P and melatonin, were closely associated with disturbances in lipid and fatty acid metabolism in AECOPD patients. These findings underscore the impact of air pollutants on overall metabolism based on influencing gut microbes and metabolites in AECOPD patients. Moreover, these altered biomarkers establish the biologic connection between air pollutant exposure and AECOPD outcomes.The identification of pertinent biomarkers provides valuable insights for the development of precision COPD prevention strategies.

The Identification of the Banana Endogenous Reference Gene MaSPS1 and the Construction of Qualitative and Quantitative PCR Detection Methods.

Endogenous reference genes play a crucial role in the qualitative and quantitative PCR detection of genetically modified crops. Currently, there are no systematic studies on the banana endogenous reference gene. In this study, the MaSPS1 gene was identified as a candidate gene through bioinformatics analysis. The conservation of this gene in different genotypes of banana was tested using PCR, and its specificity in various crops and fruits was also examined. Southern blot analysis showed that there is only one copy of MaSPS1 in banana. The limit of detection (LOD) test showed that the LOD of the conventional PCR method is approximately 20 copies. The real-time fluorescence quantitative PCR (qPCR) method also exhibited high specificity, with a LOD of approximately 10 copies. The standard curve of the qPCR method met the quantitative requirements, with a limit of quantification (LOQ) of 1.14 × 10-2 ng-about 20 copies. Also, the qPCR method demonstrated good repeatability and stability. Hence, the above results indicate that the detection method established in this study has strong specificity, a low detection limit, and good stability. It provides a reliable qualitative and quantitative detection system for banana.

Analysis of Phenotypic and Genotypic Susceptibility to Clarithromycin and Amikacin of Mycobacterium abscessus Complex Strains Isolated from Cystic Fibrosis Patients.

Mycobacterium abscessus complex infections are ever on the rise. To curb their increasing evolution, we performed an in-depth study of 43 clinical isolates of cystic fibrosis patients obtained from 2009 to 2020. We identified their subspecies, uncovered their genotypic resistance profiles, characterised their antibiotic-resistant genes, and assessed their phenotypic antibiotic susceptibilities. The phenotypic and genotypic methods showed total agreement in terms of resistance to clarithromycin and amikacin. Of the 43 clinical strains, 28 belonged to M. abscessus subsp. abscessus (65.1%), 13 to M. abscessus subsp. massiliense (30.2%), and 2 to M. abscessus subsp. bolletii (4.6%). The resistant rates for clarithromycin and amikacin, the two main drugs against M. abscessus complex pulmonary infections, were 64.2% and 14.2%, respectively. We found three strains of M. abscessus subsp. abscessus that showed heteroresistance in the rrl and rrs genes, and these strains also presented double-resistance since they were macrolide- and aminoglycoside-resistant. M. abscessus subsp. abscessus showed a high minimum inhibitory concentration (MIC) and a resistant percentage larger than or equal to 88% to cefoxitin, ciprofloxacin, moxifloxacin, doxycycline, imipenem, and trimethoprim-sulfamethoxazole. These results show a panorama of the high resistance of Mycobacterium abscessus complex to current drugs for cystic fibrosis patients. Thus, other treatment methods are urgently needed.