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Metagenomic analysis identifying a polymicrobial pulmonary infection in a non-HIV immunocompromised patient: a case report
BMC Pulmonary Medicine volume 25, Article number: 12 (2025)
Abstract
Background
Polymicrobial pulmonary infections, common in immunocompromised patients, often manifest more severe symptoms than monomicrobial infections. Clinical diagnosis delays may lead to mortality, emphasizing the importance of fast and accurate diagnosis for these patients. Metagenomic next-generation sequencing (mNGS), as an unbiased method capable of detecting all microbes, is a valuable tool to identify pathogens, particularly in cases where infections are difficult to diagnosis using conventional methods.
Case presentation
A 50-year-old male patient was admitted due to cough, expectoration and dyspnea. CT scan revealed diffuse inflammatory and cavernous lung lesion, and blood examination suggested a polymicrobial infection. However, no etiology was found by routine examination. mNGS of bronchoalveolar lavage fluid(BALF)simultaneously detected the presence of Pneumocystis jirovecii (P.jirovecii), Aspergillus fumigates (A.fumigates), Nocardia farcinica (N.farcinica), Salmonella enterica subsp. enterica (S.enterica subsp. enterica), and cytomegalovirus (CMV). The patient was successfully treated with compound sulfamethoxazole (SMZ-TMP), cefoperazone/sulbactam (SCF), moxifloxacin (MXF), voriconazole (VCZ), and ganciclovir. The patient recovered after two weeks of anti-infection therapy and maintained good health at a six-month follow-up.
Conclusion
For immunocompromised patients with multiple infections and atypical symptoms, mNGS emerged as a reliable approach to pathogen detection and guiding antibiotic therapy.
Background
Immunocompromised conditions, which are a common problem in non-HIV patients with low immunity, result in diarrhea, high fever, cough, and other pulmonary infections. Immunosuppression is often caused by solid tumors, hematological malignancies, organ transplantation, and autoimmune inflammatory diseases. These individuals are more susceptible to infections caused by opportunistic pathogens. Opportunistic pathogens, such as N.farcinica, P.jirovecii, CMV, and so on, are reported to have a higher infection rate in immunosuppressed individuals, and coexisting infections are common [1, 2]. Furthermore, patients with polymicrobial infections possess a comparatively high mortality, rapid disease progression, and poor prognosis. As previously reported, out of 22 patients with mixed Aspergillus and Mucor pulmonary infections, 9 (41%) recovered while 13 (59%) succumbed [3]. Prompt and accurate diagnosis is critical for effective treatment and outcomes, but conventional diagnostic methods, such as microbial culture, microscopic smear and nucleic acid hybridization, often fall short due to atypical clinical manifestations, which would lead to a poor prognosis [4].
Metagenomic next-generation sequencing (mNGS), an unbiased method capable of detecting all microbes without a prior hypothesis, is suitable for identifying polymicrobial infections caused by difficult-to-culture pathogens. However, reports regarding the application of mNGS in mixed pulmonary infection are still scare. Most studies on mNGS have been centered on the diagnosis of single infection [5]. Herein, we reported a case which a variety of pathogens, such as S.enterica subsp. enteric, N.farcinica, P. jirovecii, A.fumigatus and CMV, were detected in specimens of an immunocompromised patient. And mNGS played an essential role in the diagnosis and appropriate antibiotic treatment of an immunocompromised patient with a rare polymicrobial pulmonary infection.
Case presentation
A 50-year-old male patient was admitted to our hospital on October 17th, 2021. During the 10 days before admission, hard nodules, swollen boils, ulcers, and scabs appeared on several areas of his skin, while 7 days ago the patient began to cough, expectorate and experience dyspnea. Methylprednisolone (48 mg/day, PO) had been administrated for the past three months to treat focal segmental glomerulosclerosis (FSGS). On Admission, the patient’s body temperature was 39.4℃, pulse was 130 beats/min, SpO2 was 67%, and noninvasive positive pressure ventilation was applied (35 L/min, O2 60%). CT scan showed diffuse inflammatory and exudative changes in both lungs with multiple lung nodules. Cavernous lesions could be seen in the upper lobe of the right lung (Fig. 1).
Blood samples were taken for laboratory tests and cultured for pathogens. The white blood cell count was 13.42 × 109/L, C-reaction protein (CRP) was > 200 mg/L, serum amyloid A (SAA) was > 300 mg/L, and procalcitonin was 1.80 ng/ml, all of which were above the upper limit of the biological reference interval. Fungal infection markers (1,3)-β-D-glucan (479.48 pg/ml) and galactomannan (1.019 µg/L) were also out of the normal range. The counts of CD3+ (73 cells/µl), CD4+ (38 cells/µl) and CD8+ T cells (30 cells/µl) were all less than 10% of the lower limit, indicating impairment of the immune function (Table 1).
Based on the clinical symptoms, imaging results, and laboratory examinations, an infection was suspected. SCF (3 g q8h, iv, drip), MXF (0.4 g qd, iv, drip), combined with SMZ-TMP (SMZ 0.8 g-TMP 0.16 g q12 h, PO) were administered to treat gram-negative bacilli, gram-positive cocci, and opportunistic fungi such as P.jirovecii. On the second day of hospitalization, bronchoalveolar lavage was performed. A portion of the BALF was collected for microscopic examination of bacteria, filamentous fungi, mycobacterium tuberculosis, and P.jirovecii. Another part of the BALF was subjected to mNGS and culture. On the third day, S.enterica subsp. enteric, which was sensitive to MXF and SMZ-TMP, was identified by blood culture. P.jirovecii was detected by hexamine silver staining of BALF on the same day. Filamentous gram-positive bacilli resembling Nocardia spp. were also observed under oil lens (Fig. 1). As the antibiotic regiments were effective to these pathogens, the patient’s symptoms improved, and no adjustment of antibiotics was necessary. On the 4th day, N.farcinica (1,089 reads), P.jirovecii (6,825 reads), A.fumigatus (3 reads), and CMV (47 reads) were recovered by mNGS (Fig. 2). SCF was discontinued, voriconazole (0.4 g q12 h, iv, drip) was added to treat A. fumigates. Ganciclovir (0.25 g q12h, iv.drip) was added to treat CMV, the dosage of sulfamethoxazole was increased (SMZ 1.2 g-TMP 0.24 g q6h, PO) to treat P. jirovecii and N.farcinica. On the 5th day, N.farcinica was isolated from BALF on blood agar by culture, and the presence of CMV in the BALF was confirmed by Real-time PCR (3.09 × 103 copies/ml). A. fumigates (2 colonies) was isolated by culture on the 6th day.
On the 10th day, the patient`s condition improved significantly, while PCR of CMV was negative, so ganciclovir was discontinued. MXF was stopped on the 13th day, as the blood culture was negative. After 14 days of treatment, the patient’s condition improved significantly, so he was discharged from the hospital. To prevent any recurrence of the infection, VCZ (0.2 g q12h, PO) and SMZ-TMP (1.2 g–0.24 g q6h, PO) were prescribed for 3 months. During the 6 month’s follow-up, the patient’s condition remained normal, confirming the effectiveness of the treatment.
The follow-up diagnosis of polymicrobial pulmonary infection by Metagenomic next-generation sequencing. (A) Mapping of Nocardia farcinica reads on the genome. (B) Reads distribution of P.jirovecii in the BALF sample. (C) Distribution of Aspergillus.fumigatus reads in the BALF sample. (D) Reads Distribution of CMV on the genome
Discussion and conclusion
Low immunity is frequently encountered among patients undergoing long-term radiotherapy and chemotherapy for cancer, patients with autoimmune diseases, patients with kidney diseases, and others [6, 7]. In our case, this patient has a history of three months of methylprednisolone for kidney disease and exhibits a low CD3+, CD4+ and CD8+ T cell counts, which is indicative of a compromised immune status. Immunocompromised patients often suffer from a polymicrobial pulmonary infection, such as P. jirovecii, N.farcinica. P. jirovecii is a severe fungal infection that has a high prevalence in immunocompromised individuals, CD4+ lymphocyte counts < 200 cells/ul and corticosteroid use are risk factors for P.jirovecii colonization [8]. Early diagnosis and medication are important for good prognosis, however, diagnosis of P. jirovecii remains challenging due to its atypical clinical manifestations and low sensitivity and specificity of current diagnostic methods [9]. N.farcinica is a weak acidic actinomycete that is widely present in soil, water and air. Inhalation of spores or fragments of hyphae results in pulmonary nocardiosis, about 50% of norcardiosis occurs in immunocompromised settings while N.farcinica is more common than other Norcardia species [10,11,12]. The variable clinical manifestation and the difficulty in pathogen detection often lead to delays in the treatment of norcardiosis patients. Recently, several studies illustrated that compared to conventional methods, mNGS had a satisfactory diagnostic value in P. jirovecii and N.farcinica diagnoses, reducing the detection turnaround time [13,14,15]. As reported, the application of mNGS corrected misdiagnosed tuberculosis, diagnosed a rare case of multisystem infection and a multi-site infection by N.farcinica, and illustrated the competence of mNGS in the diagnosis of Norcardia spp. [16,17,18].
The mNGS technique is a promising approach for detecting co-pathogens in mixed pulmonary infection, with key advantages in speed and sensitivity [5]. In cases where multiple pathogens coexist, such as in immunocompromised patients, mNGS can significantly simplify the diagnostic process by identifying bacteria, fungi, parasites, and viruses concurrently. Unlike traditional methods that often rely on prior hypotheses and targeted testing, mNGS is unbiased and can detect even atypical, rare, or emerging pathogens. In a previous report, the result of bacterial culture was negative, while mNGS accurately detected the mixed infection caused by three kinds of bacteria, which provided a broader diagnosis and treatment options for the clinic [19]. The high detection sensitivity of mNGS, coupled with its ability to detect unculturable organisms, makes it superior to culture-based methods [20].
In our case, given the history of methylprednisolone usage and the low CD4+ T cells count, they are indeed high-risk factors for opportunistic infection caused by P.jirovecii, A.fumigates, N.farcinica, and CMV. These pathogens are commonly found in immunocompromised individuals, but a simultaneous infection with all four of them is extremely rare. To the best of our knowledge, this is the first reported case of all four pathogens being detected in a single BALF sample using the mNGS technology in China.
The conventional diagnostic methods, often struggle with detecting multiple pathogens simultaneously due to their limitations in sensitivity, specificity, throughput, and the need for pre-hypotheses. These limitations can lead to delays in diagnosis and poor prognosis, particularly in cases where multiple pathogens are involved. Although the current gold standard for diagnosing invasive pulmonary aspergillus is based on histopathological evidence and a positive tissue aspergillus polymerase chain reaction (PCR), these two diagnostic methods are invasive. Especially considering the severity of this patient’s condition, it is challenging to clinically apply of these invasive diagnostic methods. Although traditional detection methods have a series of limitations, they often serve as the gold standard for diagnosis at present. Besides, the colonies obtained through cultivation can undergo further antibiotic susceptibility testing, which, however, is a drawback of mNGS. Consequently, these two methods are complementary rather than mutually exclusive. In this case of complex mixed infections, we performed both mNGS sequencing and traditional culture simultaneously. mNGS can rapidly offer information regarding the pathogen spectrum and guide the early medication administration, thus enabling the early and effective control of pathogens. Meanwhile, the results of culture and antibiotic susceptibility testing can further verify the previous sequencing results and enable the fine-tuning of antibiotics. The combination of these two approaches allows for the early treatment of patients while ensuring the accuracy of the therapy.
The rapid and comprehensive pathogen detection capability of mNGS technology can significantly guide the rational use of antibiotics [21, 22]. Tianjun et al. discovered that 60.6% of the patients demonstrated apparent improvement after treatment based on the mNGS results, wheras only 37.9% of the patients diagnosed by conventional tests showed improvement [23]. In this case, the mNGS results assisted clinical doctors in prescribing VCZ for the treatment of A fumigatus infection and ganciclovir for the treatment of CMV infection, both of which played a crucial role in the successful management and treatment of the patient’s disease, highlighting the value of mNGS in precision medicine. Given the patient’s severe condition and based on clinical experience, the use of VCZ for antifungal treatment is appropriate. The post-treatment microbiological test results also confirm the effectiveness of the medication.
Despite the diagnosis using mNGS offers a valuable reference for the treatment of polymicrobial pulmonary infection, our study is still subject to the following limitations. Firstly, as a case report with a limited sample size, the generalization of its conclusions requires caution. Secondly, as a recently introduced approach in clinical microbiological testing, mNGS is confronted with numerous challenges, such as high costs, intricate detection procedures, and the requirement for collaborative interpretation between laboratory staff and clinicians. Additionally, the insufficient public awareness of this technology implies that its extensive application will require a certain period of time.
In conclusion, patients in immunocompromised states often suffer from polymicrobial pulmonary infection. Compared to the limitations of traditional diagnostic methods, the mNGS technology has shown significant potential in enhancing the diagnosis and treatment of such complex and challenging infectious cases. We believe that along with the reduction of costs and the standardization of procedures, mNGS will play an increasingly prominent role in the detection of pathogenic microorganisms, especially in the diagnosis of complex, rare, and emerging infections.
Data availability
The data generated during the current study are available in the Genome Sequence Archive (GSA) of China National Center for Bioinformation (CNCBdb), accession number CRA021701 (https://bigd.big.ac.cn/gsa/browse/CRA021701).
Abbreviations
- mNGS:
-
Metagenomic next-generation sequencing
- BALF:
-
Bronchoalveolar lavage fluid
- P.jirovecii:
-
Pneumocystis jirovecii
- A.fumigates:
-
Aspergillus fumigates
- N.farcinica:
-
Nocardia farcinica
- S.enterica subsp. enterica:
-
Salmonella enterica subsp. enterica
- CMV:
-
Cytomegalovirus
- SMZ-TMP:
-
Compound sulfamethoxazole
- SCF:
-
Cefoperazone/sulbactam
- MXF:
-
Moxifloxacin
- VCZ:
-
Voriconazole
- CRP:
-
C-reaction protein
- SAA:
-
Serum amyloid A
References
Kim YK, Sung H, Jung J, Yu SN, Lee JY, Kim SH, et al. Impact of immune status on the clinical characteristics and treatment outcomes of nocardiosis. Diagn Microbiol Infect Dis. 2016;85(4):482–7.
Fritzsche C, Riebold D, Munk-Hartig A, Klammt S, Neeck G, Reisinger E. High prevalence of Pneumocystis Jirovecii colonization among patients with autoimmune inflammatory diseases and corticosteroid therapy. Scand J Rheumatol. 2012;41(3):208–13.
Ling FX, Qu DM, Lu YQ, Li R, Zhao L. Successful treatment of mixed pulmonary aspergillus and Mucor infection using intrabronchial amphotericin B infusion: a case report and literature review. BMC Pulm Med. 2024;24(1):436.
Liu Y, Wu W, Xiao Y, Zou H, Hao S, Jiang Y. Application of metagenomic next-generation sequencing and targeted metagenomic next-generation sequencing in diagnosing pulmonary infections in immunocompetent and immunocompromised patients. Front Cell Infect Microbiol. 2024;14:1439472.
Wang J, Han Y, Feng J. Metagenomic next-generation sequencing for mixed pulmonary infection diagnosis. BMC Pulm Med. 2019;19(1):252.
Tanaka N, Kunihiro Y, Yanagawa N. Infection in immunocompromised hosts: imaging. J Thorac Imaging. 2018;33(5):306–21.
Mei-Sheng Riley M. Invasive fungal infections among immunocompromised patients in critical care settings: infection Prevention Risk Mitigation. Crit Care Nurs Clin North Am. 2021;33(4):395–405.
Avino LJ, Naylor SM, Roecker AM. Pneumocystis Jirovecii Pneumonia in the Non-HIV-Infected Population. Ann Pharmacother. 2016;50(8):673–9.
Zhang F, Chen J, Huang H, Deng X, Zhang W, Zeng M, et al. Application of metagenomic next-generation sequencing in the diagnosis and treatment guidance of Pneumocystis Jirovecii pneumonia in renal transplant recipients. Eur J Clin Microbiol Infect Dis. 2021;40(9):1933–42.
McGuinness SL, Whiting SE, Baird R, Currie BJ, Ralph AP, Anstey NM, et al. Nocardiosis in the Tropical Northern Territory of Australia, 1997–2014. Open Forum Infect Dis. 2016;3(4):ofw208.
Wang HL, Seo YH, LaSala PR, Tarrand JJ, Han XY. Nocardiosis in 132 patients with cancer: microbiological and clinical analyses. Am J Clin Pathol. 2014;142(4):513–23.
Wauters G, Avesani V, Charlier J, Janssens M, Vaneechoutte M, Delmee M. Distribution of nocardia species in clinical samples and their routine rapid identification in the laboratory. J Clin Microbiol. 2005;43(6):2624–8.
Chen J, He T, Li X, Wang X, Peng L, Ma L. Metagenomic next-generation sequencing in diagnosis of a case of Pneumocystis Jirovecii Pneumonia in a kidney transplant recipient and literature review. Infect Drug Resist. 2020;13:2829–36.
Zhang Y, Ai JW, Cui P, Zhang WH, Wu HL, Ye MZ. A cluster of cases of pneumocystis pneumonia identified by shotgun metagenomics approach. J Infect. 2019;78(2):158–69.
Weng SS, Zhang HY, Ai JW, Gao Y, Liu YY, Xu B, et al. Rapid Detection of Nocardia by Next-Generation sequencing. Front Cell Infect Microbiol. 2020;10:13.
Pan L, Pan XH, Xu JK, Huang XQ, Qiu JK, Wang CH, et al. Misdiagnosed tuberculosis being corrected as Nocardia farcinica infection by metagenomic sequencing: a case report. BMC Infect Dis. 2021;21(1):754.
Wu J, Li X, Zhang T, Lin X, Chen YC. Disseminated Nocardia farcinica involves the spinal cord: a case report and review of the literature. BMC Infect Dis. 2021;21(1):1224.
Jiao M, Deng X, Yang H, Dong J, Lv J, Li F. Case Report: a severe and multi-site Nocardia farcinica infection rapidly and precisely identified by Metagenomic Next-Generation sequencing. Front Med (Lausanne). 2021;8:669552.
Qin Z, Zou Y, Huang Z, Yu N, Deng Z, Chen Z, et al. Metagenomic next-generation sequencing contributes to the diagnosis of mixed pulmonary infection: a case report. Ann Clin Microbiol Antimicrob. 2022;21(1):52.
Miao Q, Ma Y, Wang Q, Pan J, Zhang Y, Jin W, et al. Microbiological Diagnostic performance of Metagenomic Next-generation sequencing when Applied to Clinical Practice. Clin Infect Dis. 2018;67(suppl2):S231–40.
Xu WB, Fu JJ, Yuan XJ, Xian QJ, Zhang LJ, Song PP, et al. Metagenomic next-generation sequencing in the diagnosis of neurocysticercosis: a case report. World J Clin Cases. 2023;11(20):4912–9.
Song P, Chen S, Tan X, Gao Y, Fu J, You Z, et al. Metagenomic analysis identifying a rare Leishmania infection in an adult with AIDS. Front Cell Infect Microbiol. 2021;11:764142.
Yang T, Mei Q, Fang X, Zhu S, Wang Y, Li W, et al. Clinical value of Metagenomics Next-Generation sequencing in Bronchoalveolar Lavage Fluid for patients with severe hospital-acquired pneumonia: a nested case-control study. Infect Drug Resist. 2022;15:1505–14.
Acknowledgements
We would like to express our gratitude to Zhang ran and Li yanhua for their work on microscopic examination.
Funding
This research was supported by the Medical Science and Technology Development Foundation of Department of Health of Shandong Province (2019WS113).
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Jing Duan and Jie Ding were major contributors in drafting the manuscript, Jing Duan, Zhiqing You and Ding Li participated in the diagnosis of the patient and review of medical records, Yupeng Wei analysed and uploaded the datasets, Yingxin Zhang and Chao Chen participated in revising the manuscript critically. All authors read and approved the final manuscript.
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As this manuscript is a case report of clinical care provided to a patient, and it does not include any of the patient’s personal identifiers, ethics approval by the institutional review board was not required.
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The patient provided written informed consent for the publication of the data.
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The authors declare no competing interests.
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Duan, J., Ding, J., Wei, Y. et al. Metagenomic analysis identifying a polymicrobial pulmonary infection in a non-HIV immunocompromised patient: a case report. BMC Pulm Med 25, 12 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12890-024-03473-0
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DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12890-024-03473-0