While non-tuberculous mycobacteria (NTM), enviromental opportunistic pathogenic bacteria, are not responsible for causing tuberculosis, they present a distinct set of challenges in clinical practice. Therefore, an accurate identification is critically important in setting the correct treatment regimen (1).
NTM are bacterial species stained acid-fast (3) and are generally less virulent compared to MTB. They consist of more than 190 species and subspecies (4), including rapidly-growing species like
The incidence of NTM infectious diseases and related deaths is steadily on the rise. Studies from North America, Europe, and Asia have shown a rising incidence of NTM disease over the past two decades. For clarification, the estimated prevalence of NTM disease in the United States increased from 2.4 cases per 100,000 in the early 1980s to 15.2 cases per 100,000 by 2013. Between 1997 and 2007, there was a more than twofold increase in prevalence among the elderly population (>65 years), rising from 20 cases per 100,000 to 47 cases per 100,000. A study conducted in the UK revealed similar trends, as NTM infection rates more than tripled, increasing from 0.9 cases per 100,000 in 1995 to 2.9 cases per 100,000 in 2006 (7). A summary of this information is provided in the table (Tab. 1). Similar trends were observed in Germany and Denmark (7,8,9).
An overview of the increase in NTM cases in United States (7)
from the early 1980s to 2013 | from 2.4 to 15.2 |
1997–2007 among the elderly population (>65 years) | from 20 to 47 |
1995–2006 | from 0.9 to 2.9 |
These findings also confirmed that the prevalence of infections increases with the age as a result of age-related immune system changes. The number of NTM pulmonary infections rises globally primarily due to the availability of molecular-based detection. On the other side, not all of these detected isolates indicate actual lung disease. Despite its importance, long-term data are not available for many countries (e.g., there is only a limited number of studies from Eastern Europe and South America). The identification and interpretation of results has become more difficult because of Covid-19 pandemic, lower reporting, and the war in Ukraine (10).
In addition to lung diseases, NTM are also responsible for infections in other sites of the body, e.g skin and soft tissue, central nervous system, bacteremia, and eyes (11).
The composition of the cell wall plays a crucial role in the antibiotic resistance. Drug efflux through membrane pumps, biofilm formation, and glycopeptidolipids (GPLs) in mycobacterial outer membrane (MOM) are other factors contributing to the resistance. A reduced amount of GLPs leads to an increased hydrophobicity of the MOM. Several antibiotic substances are hydrophilic; therefore, a low sensitivity to these therapeutic agents was documented (16).
In summary, the morphological variations of
NTM, such as
CF is a multisystemic, chronic, and genetic disease. It is inherited in an autosomal recessive manner (Fig. 3), primarily caused by genetic mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene, located on the long arm of chromosome 7 (22,23).
This leads to an abnormal CFTR (chloride) channel function, unregulated chloride (Cl−) excretion, and concomitant sodium (Na+) release. It is associated with increased concentrations of salt (NaCl) in the sweat of patients, which characterizes the abnormal transport of electrolytes from the sweat gland (22).
Malfunction of CFTR proteins leads to a decrease in chloride secretion into the cellular spaces and, concurrently, an increase in sodium reabsorption. This increased sodium absorption causes the retention of water. As a result of these processes, there is a certain pathological organ manifestation, related to a specific gene mutation of the CFTR channel. It leads to thicker mucus, and to clogging of organ systems. Furthermore, loosing the hypotonicity of periciliar fluid leads to a higher risk of bacterial colonisation. CF primarily affects the lungs, pancreas, liver, biliary system, intestines, and sweat glands (25).
Over the past few decades, there have been improvements in the treatment of people with CF. Previously, this disease was often fatal in infants and young children (26). Nowadays, the majority of individuals are diagnosed for CF either through newborn screening at birth or before the age of two years (27). The progression of the disease in young children was primarily observed in the period of 6 months. A difference in treatment outcomes was noted at initiation of treatment at 4 to 13 months. Improvement in both the respiratory and digestive systems in children under six years of age were observed, if the treatment is initiated within two months from birth (28).
The lung environment with thick mucus creates suitable conditions for the survival of
NTM infections in patients with CF can contribute to many complications and worsen already existing progression of the disease. This also includes an increased number of hospitalizations, severe and progressive decline in lung function, and a risk of reinfections, which may require more aggressive and complicated treatment regimens, and leads to a reduced quality of life (31). Consequently, contamination by
Management of infection is difficult and requires a correct choice of the antibiotic regimen with limited undesirable side effects. These can include e.g. severe nausea, deafness, impaired liver function, etc. (30,32).
CF is disease occured worldwide, related to region and population. It occurs mostly in developed countries, e.g. United States, Canada, the United Kingdom, Ireland, and Australia. Reduced prevalence is documented in Asia, Africa, and certain parts of Southern Europe, most probably as a result of different genetic backgrounds of the disease (33).
The management of
Bacteria commonly responsible for lung diseases are primarily associated with the Mycobacterium avium complex (34). Additionally, M. abscessus is the second most common NTM associated in lung diseases and is further classified into three subspecies, i.e. abscessus, massiliense, and bolletii. Bacteria that cause lung disease are most often members of Mycobacterium avium complex. M. abscessus subsp. abscessus is characterized as the most resistant mycobacterial species due to acquired and innate drug resistance (32). These subspecies are associated with different clinical outcomes and antibiotic susceptibility. Subspecies abscessus and bolletii are characterized by an inducible gene (erm(41)) responsible for intrinsic resistance to macrolides. In contrast, subspecies massiliense does not contain the active erm(41), which means that it is naturally sensitive to this group of antibiotics. In comparison to azithromycin (AZM), clarithromycin (CLR) has been shown to induce the erm(41) gene more effectively, with higher mRNA expression, and MIC decreases during a longer incubation time. Therefore, AZM is more preferred for the therapy of M. abscessus infections. In addition, this species is susceptible to acquired resistance to mutational macrolides, which occurs at low rates due to point mutations at 2058 or 2059 of the 23S rRNA rrl gene positions. It is worth to mention that M. abscessus is naturally resistant to antituberculotics such as rifampicin and ethambutol (15).
In summary, among the most important treatment priorities is the preservation of susceptibility of M. abscessus strains to macrolides, because these antibiotics represent a crucial part of the multidrug therapy. This can be ensured by combining macrolides with other antibiotics (5,23,32). The British Thoracic Society guidelines from the year 2017 recommended a revision of the drug combination as follows: intravenous amikacin, tigecycline, and imipenem with a peroral macrolide, e.g., clarithromycin, for the initial treatment phase (35,36). Based on previous information, in the treatment of MABC lung disease (MABC-LD), a combination of intravenous drugs together with effective oral antibiotics, especially new-generation macrolides, is recommended. However, patient compliance can be reduced and potentially influenced by adverse effects and insufficient evidence of their effectiveness (24).
For amikacin, successful treatment outcomes have been demonstrated. In the case of MABC-LD caused by drug-resistant strains, the use of amikacin and tobramycin in the form of aerosols can be also considered. This helps to get the drug directly to the lungs where the infection is most problematic (36,37,38). However, a resistance to aminoglycosides has also been demonstrated in
Enhanced susceptibility of NTM to aminoglycosides through gene deletion (39)
AAC(2 ′ ) | kanamycin B, tobramycin, dibekacin, and gentamicin C |
Eis2 | capreomycin, hygromycin B, amikacin, and kanamycin |
Eis1 | no affect on drug susceptibility |
On the other side, low MICs of apramycin, arbekacin, isepamicin, and kanamycin A is not associated with an inactivation by either AAC(2 ′ ) or Eis enzymes (39).
However, in the case of intravenous tigecycline, the efficacy for MABC-LD needs to be further investigated and confirmated (24).
Fluoroquinolones, such as moxifloxacin, and to a lesser extent levofloxacin and ciprofloxacin, have shown potential for the treatment of infections caused by
Understanding the connection between pathological phenomena and DNA variations is one of the fundamental goals of human genetics. One approach involves the cataloging of genetic variations, known as single nucleotide polymorphisms (SNPs), throughout the genome, aiming to identify distinct variants associated with specific phenotypes (43). In recent decades, there have been significant advancements in methods based on functional genome analysis. They have changed from traditional real-time polymerase chain reaction to more complex methods, e.g. next-generation sequencing, whole-genome sequencing (WGS), or mass spectrometry. They are designed to analyze various aspects, including genomics, epigenomics, proteomics, and interactomics (44).
WGS is one of preferred technologies that provides a detailed inshights into various aspects related to bacterial genome (45). The method helps to analyze the entire genome of bacteria and helps to determine genetic variation and diversity within this species. Thanks to WGS it is possible to identify single nucleotide polymorphisms (SNPs), deletions, insertions, copy number variations, or structural variants in the genome (46,47,48). Technological advancements in recent years have significantly simplified the process, lowered the costs, and reduced the time required for sequencing (48).
WGS offers various other valuable applications. One of these is phylogenetic analysis, which offers insight into the evolutionary relationships between genes and species through phylogenetic trees. This analytical tool aids in the identification of unknown species or strains by comparing their genetic data with reference sequences (49). Additionally, WGS has been utilized in several studies to characterize transmission patterns using sets and combinations of SNPs. They represent a measure of epidemiological data and/or phylogeny or genetic distance and this information serves to confirm the transmission of bacterial strains between patients. Furthermore, WGS brings the possibility to distinguish variation between isolates due to its higher resolving power. Another option is a statistical framework that helps determine the direction of transmission. This framework integrates data with additional information and facilitates the estimation of probabilities associated with hypothetical transmission chains, rather than exclusively pinpointing specific transmission events (50).
This technology also enables the identification of antibiotic resistance, playing a vital role in effective patient care (21), as we can rapidly identify resistance mechanisms based on genetic mutations. Early detection of these processes also has implications for clinical trial design and also becomes essential in ongoing clinical trials. In general it helps to distinguish an exogenous reinfection from a relapse of primary infection. This distinction plays a crucial role in evaluating the effectiveness of investigational drugs or treatment regimens (51).
WGS can be used in specific cases, such as tracking and identifying outbreaks of infections in healthcare facilities and prevent them from further transmission (52). In relation with MABC diagnostics, it can be utilized in strain identification, antibiotic susceptibility testing, differentiation between other mycobacteria, or reccurence monitoring (53).
The choice of methods depends on the set objectives. Research often uses a combination of these methods to achieve comprehensive insights from whole-genome sequencing data.