Cytomorphology Unmasks Occult Mycobacterium colombiense Coinfection in Talaromyces marneffei Infection: First Case Report and Systematic Review of 26 Cases (2008-2024)

Cytomorphology Unmasks Occult Mycobacterium colombiense Coinfection in Talaromyces marneffei Infection: First Case Report and Systematic Review of 26 Cases (2008-2024) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Case Report Cytomorphology Unmasks Occult Mycobacterium colombiense Coinfection in Talaromyces marneffei Infection: First Case Report and Systematic Review of 26 Cases (2008-2024) Yuyi Lai, Jinxiong Xu, Yongjun Su, Yaochan Yao, YingQun Zhou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7686418/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Talaromyces marneffei ( T. marneffei ) is a well-recognised opportunistic pathogen in immunocompromised hosts, while Mycobacterium colombiense ( M. colombiense ) represents an emerging non-tuberculous mycobacterium. Coinfection with these pathogens has never been reported, particularly in immunocompetent individuals. Methods We present the first documented case of T. marneffei - M. colombiense coinfection in an immunocompetent host, integrated with a PRISMA-compliant systematic review of global M. colombiense infections (2008–2024). Case and Results A 50-year-old immunocompetent woman presented with chest wall osteomyelitis, a non-healing wound, and persistent fever. Metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid uniquely detected T. marneffei . However, comprehensive testing (including mNGS and microbiological culture) of blood, wound exudate, sputum, and biopsies yielded no significant pathogens, and voriconazole monotherapy proved ineffective. Cytomorphological analysis of wound exudate revealed phagocytosed bacilli unstained by Wright-Giemsa within phagocytes, prompting targeted acid-fast staining and mycobacterial culture, which subsequently identified M. colombiense by MALDI-TOF MS. Systematic analysis of 26 global M. colombiense cases revealed: Dominant lymphatic-pulmonary involvement(Lymph nodes: 73.1%, Lungs: 65.4%,); Pronounced osteocutaneous tropism (Bone/Joint: 38.5%, Skin: 38.5%); Substantial mortality(23.1%, 6/26). Conclusions This study establishes: (1) The first evidence of T. marneffei - M. colombiense coinfection in immunocompetent hosts; (2) The crucial role of cytomorphology in overcoming coinfection blind spots; (3) A diagnostic T-MAP algorithm (Cytomorphology- morphology-guided targeted testing, followed by molecular and culture confirmation); (4) M. colombiense 's distinct clinical profile characterised by significant osteocutaneous tropism and high mortality (23.1%). Talaromyces marneffei Mycobacterium colombiense Coinfection Cytomorphology T-MAP algorithm Figures Figure 1 Figure 2 Introduction Mixed infections with phylogenetically distinct pathogens pose formidable diagnostic challenges due to symptom convergence. Talaromyces marneffei ( T.marneffei ), a thermally dimorphic fungus endemic to Southeast Asia, causes disseminated infection primarily in immunocompromised hosts. Mycobacterium colombiense (M. colombiense) , a member of the Mycobacterium avium complex (MAC) identified in 2006, can cause similar disseminated disease. Critically, despite shared tropism, coinfection by these pathogens remains undocumented in immunocompetent hosts. We present the first laboratory-confirmed dual infection diagnosed via an integrated cytomorphology-guided diagnostic algorithm termed T-MAP (Cytomorphology-Morphology guided targeted testing, followed by Molecular/phenotypic confirmation). Case presentation In June 2024, a 50-year-old immunocompetent (HIV-negative) Chinese woman presented with a > 2-month non-healing chest wall wound post-excision of an anterior mass, exhibiting recurrent seropurulent discharge, paroxysmal cough with white mucoid sputum, and intermittent high-grade fever (39°C), physical examination revealed a 2.5×2 cm tunneling ulcer (Fig. 1 A), with a documented microbiologically confirmed history of T. marneffei infection. Chest CT demonstrated anterior chest wall soft tissue infection with multilevel osteolytic lesions (sternum, T3, T5 left transverse process, T8 spinous process)( Fig. 1 B), right lower lobe consolidation, right upper lobe nodules, and mediastinal lymphadenopathy; laboratory analysis revealed leukocytosis (17.74×10⁹/L) with neutrophilia (89.1%), severe anemia (Hb 77 g/L), thrombocytosis (563×10⁹/L), elevated inflammatory markers (CRP 138 mg/L, PCT 0.161 ng/mL), and negative tuberculosis IFN-γ release assay. Following admission, mNGS of BALF uniquely identified T. marneffei , while parallel mNGS and microbiological testing (blood/wound/sputum/biopsies) yielded no pathogens. Given clinical deterioration, cytomorphological analysis (Wright-Giemsa staining) of ulcer secretions revealed intraphagocytic unstained bacilli (Fig. 1 C-E). Acid-fast staining demonstrated intracellular acid-fast bacilli (Fig. 1 F), providing a presumptive diagnosis of mycobacterial coinfection. Definitive identification of M. colombiense by culture and MALDI-TOF MS was achieved 28 days after transfer to the specialised centre, confirming the cytomorphology-guided diagnosis. Initial empirical broad-spectrum antibacterial therapy (including piperacillin-sulbactam, carbapenems) and antifungal therapy (voriconazole), combined with surgical debridement, failed to resolve fever or wounds. Given the positive acid-fast smear and tuberculin skin test (TST), despite inconclusive results for M. tuberculosis, empirical anti-tuberculosis therapy (standard 2HREZ/10HRE regimen) was initiated, pending definitive identification. However, drug-induced hepatotoxicity (ALT 138.3 U/L, ref < 40) necessitated regimen discontinuation and transfer to a specialised centre. Following the institution of targeted anti-infective therapy, complete symptom resolution was confirmed at 6-month follow-up (treatment details unavailable per institutional data policy). Systematic review of global M. colombiense infections Methods Systematic searches in PubMed ("Mycobacterium colombiense"[Mesh]) AND ("infection"[Mesh] OR infection), yielded n = 36) and Google Scholar ("Mycobacterium colombiense" AND infection AND "case report" AND disseminated, yielded n = 421) retained 14 articles per database after title/abstract screening. Removal of 12 duplicates resulted in 16 unique publications, from which patient-level data extraction identified 14 single-case reports(1–14), Tang et al. (Int J Infect Dis 2023)(15) reporting 9 cases, and Guo et al. (Infect Drug Resist 2023)(16) contributing 3 cases, constituting a 26-patient cohort for analysis (Fig. 2 A) Results M. colombiense infection predominantly affected middle-aged and elderly patients (median age, 50.5years) and immunocompromised individuals (73.1%). The most frequent sites were the lymph nodes and lungs (lymph nodes: 73.1%, lungs: 65.4%), followed by bones and joints (38.5%), skin (38.5%), liver (15.4%), trachea (11.5%), and spleen (3.8%). Modern molecular diagnostic techniques (mNGS/tNGS) were employed in 57.7% (15/26) of cases, compared to(38.5%,10/26) using culture combined with targeted sequencing. Despite anti-NTM therapy administered to 92.3% (24/26) of patients, the overall mortality rate was 23.1% (6/26). Among the fatal cases, 1 patient did not receive anti-NTM therapy, treatment status was unknown for 1 patient, and 4 had disseminated infection and received treatment. ( Fig. 2 A and Table 1 ). Discussion T. marneffei , a thermally dimorphic fungus, is endemic to and predominantly affects HIV-infected individuals in Southeast Asia (17). It can cause skin and soft tissue lesions, hepatosplenomegaly, lymphadenopathy, respiratory symptoms, osteoarticular involvement and abdominal discomfort. Osteolytic lesions, which are exceedingly rare and often misdiagnosed (17–19), predominantly occur in HIV-negative individuals. Critically, this symptom complex demonstrates substantial overlap with M. colombiense infection, establishing a high-risk diagnostic blind spot in co-endemic settings. M. colombiense is an emerging non-tuberculous mycobacterium (NTM). Since its first description in 2006, its clinical profile remains incompletely characterised. This systematic review (n = 26) reveals for the first time that infection with this pathogen demonstrates a significant propensity for disseminated disease, primarily targeting a lymphatic-pulmonary axis (lymph node 73.1%, lung 65.4%) and is associated with a high frequency of bone and joint involvement (38.5%) (Table 1 ). Molecular techniques (mNGS/tNGS) served as primary or adjunctive diagnostic methods in 57.7% (15/26) of cases. However, access to these technologies remains limited in resource-limited settings, where pathogen identification continues to rely predominantly on traditional culture combined with targeted gene sequencing (e.g., 16S rRNA, hsp65, rpoB) or MALDI-TOF MS. Despite 92.3% of patients receiving anti-NTM therapy, mortality was high at 23.1% (6/26), with disseminated infection being the primary cause of death in the majority of fatal cases (accounting for 4/6 deaths). In this case, the index case of dual infection ( T. marneffei + M. colombiense ) exemplifies this diagnostic crisis: the patient presented with fever, anaemia, and multiorgan involvement (skin, lungs, bones, and lymph nodes). Figure 1 C-F illustrates our diagnostic algorithm, key steps include: Conventional methods failure (smear/culture/PCR negative),mNGS detects T. marneffei but misses M. colombiense , Cytomorphology breakthrough: Neutrophils/Macrophages phagocytosing bacilli that are negative for Wright-Giemsa staining but positive for acid-fast staining (Fig. 1 C-F), prompts mycobacterium-targeted testing, Culture + MALDI-TOF MS confirms M. colombiense . This case exemplifies how the T-MAP algorithm successfully bridged the diagnostic gap created by the limitations of conventional methods and mNGS alone in this coinfection scenario. This study is limited by its single-case validation of T-MAP. While the T-MAP strategy proved critical in diagnosing this novel coinfection, its broader applicability requires prospective validation. We propose a multi-centre study design: Patients with suspected polymicrobial infections (e.g., antifungal/antibiotic-refractory fever + multiorgan involvement) in T. marneffei -endemic regions would undergo parallel testing via: (1) Conventional pathway (culture/PCR/mNGS); (2) T-MAP pathway (morphological screening → targeted AFB/Fungal staining → guided molecular/culture) (Fig. 1 G). Primary endpoints would include diagnostic sensitivity for co-infections and reduction in time-to-diagnosis. Abbreviations T-MAP Topography-Morphology guided Algorithmic Polymicrobial diagnostics MAC Mycobacterium avium BALF Bronchoalveolar lavage fluid MALDI-TOF MS Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry。 mNGS metagenomic Next-Generation Sequencing tNGS Targeted Next-Generation Sequencing NTM Nontuberculous Mycobacteria TST Tuberculin Skin Test Declarations Acknowledgement We are grateful to the Fourth People’s Hospital of Nanning for their assistance with mass spectrometry detection. Author Contributions Yuyi Lai: Performed cytomorphological analysis, interpreted cytology data, and drafted the initial manuscript. Jinxiong Xu: Managed clinical diagnosis, treatment decisions, surgical intervention, and patient follow-up.Yongjun Su: Conducted mycobacterial/fungal cultures, MALDI-TOF MS identification, and data collection. Yaochan Yao: Curated systematic review data, performed statistical analysis, and prepared figures/tables. Yingqun Zhou: Conceptualised the study, designed the T-MAP algorithm, supervised methodology, critically revised the manuscript, and ensured quality control. All authors approved the final manuscript and are accountable for their contributions. Funding None Ethics approval and consent to participate This study was approved by the Ethics Committee of Nanning First People’s Hospital and informed consent has been obtained from the patient prior to analysis. Consent for publication Written informed consent was obtained from the patient for publication of this case report and any accompanying images. A copy of the written consent is available for review by the Editor-in-Chief of this journal. Data availability All data generated or analyzed during this study are included in this published article and its supplementary information files. The dataset supporting the systematic review is available from the corresponding author on reasonable request. 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13:57:14","extension":"html","order_by":18,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":48187,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7686418/v1/f588d8c25aa85b85e261840f.html"},{"id":94399178,"identity":"8659ef11-db1d-4e47-b4f9-0da1e467baac","added_by":"auto","created_at":"2025-10-27 13:57:22","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":1233592,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eA.\u003c/strong\u003e \u0026nbsp;Non-healing wound (2.5×2 cm)， Tunnelling ulcers(white arrows）. \u003cstrong\u003eB.\u003c/strong\u003e CT images of bone destruction (pink arrow). \u003cstrong\u003eC-E.\u003c/strong\u003e Cytomorphological analysis: Wright-Giemsa staining,1000× magnification, Neutrophil and Macrophage phagocytosis of unstained bacilli (arrows); \u003cstrong\u003eF.\u003c/strong\u003eAcid-fast staining, 1000× magnification: Acid-fast bacilli within macrophages (arrow). \u003cstrong\u003eG.\u003c/strong\u003e Proposed T-MAP strategy: Morphology bridges molecular and phenotypic gaps.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-7686418/v1/bd572ec7d64632e321d27716.png"},{"id":94397660,"identity":"b8137bb6-ab02-4f86-955d-e52874a5d532","added_by":"auto","created_at":"2025-10-27 13:56:45","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":814765,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cstrong\u003eSystematic review of global \u003c/strong\u003e\u003cem\u003e\u003cstrong\u003eM. colombiense\u003c/strong\u003e\u003c/em\u003e\u003cstrong\u003e infections(2008-2024)\u003c/strong\u003e\u003c/p\u003e","description":"","filename":"Fig2.png","url":"https://assets-eu.researchsquare.com/files/rs-7686418/v1/356809ce8e727644b8a88b73.png"},{"id":98289817,"identity":"4b977a4d-c1ba-490d-8a9f-08c951b5c5c9","added_by":"auto","created_at":"2025-12-16 07:55:06","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2797380,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7686418/v1/e3c1ad70-0fb9-4d67-bd19-40da8c6cffb2.pdf"},{"id":94397429,"identity":"4021a8ab-dd35-457c-8545-5df61c7bf9ba","added_by":"auto","created_at":"2025-10-27 13:56:39","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":62330,"visible":true,"origin":"","legend":"","description":"","filename":"CAREChecklist.docx","url":"https://assets-eu.researchsquare.com/files/rs-7686418/v1/1717e425db9e296f09dd1450.docx"}],"financialInterests":"No competing interests reported.","formattedTitle":"Cytomorphology Unmasks Occult Mycobacterium colombiense Coinfection in Talaromyces marneffei Infection: First Case Report and Systematic Review of 26 Cases (2008-2024)","fulltext":[{"header":"Introduction","content":"\u003cp\u003eMixed infections with phylogenetically distinct pathogens pose formidable diagnostic challenges due to symptom convergence. \u003cem\u003eTalaromyces marneffei\u003c/em\u003e (\u003cem\u003eT.marneffei\u003c/em\u003e ), a thermally dimorphic fungus endemic to Southeast Asia, causes disseminated infection primarily in immunocompromised hosts. \u003cem\u003eMycobacterium colombiense (M. colombiense)\u003c/em\u003e, a member of the Mycobacterium avium complex (MAC) identified in 2006, can cause similar disseminated disease. Critically, despite shared tropism, coinfection by these pathogens remains undocumented in immunocompetent hosts. We present the first laboratory-confirmed dual infection diagnosed via an integrated cytomorphology-guided diagnostic algorithm termed T-MAP (Cytomorphology-Morphology guided targeted testing, followed by Molecular/phenotypic confirmation).\u003c/p\u003e"},{"header":"Case presentation","content":"\u003cp\u003eIn June 2024, a 50-year-old immunocompetent (HIV-negative) Chinese woman presented with a\u0026thinsp;\u0026gt;\u0026thinsp;2-month non-healing chest wall wound post-excision of an anterior mass, exhibiting recurrent seropurulent discharge, paroxysmal cough with white mucoid sputum, and intermittent high-grade fever (39\u0026deg;C), physical examination revealed a 2.5\u0026times;2 cm tunneling ulcer (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eA), with a documented microbiologically confirmed history of \u003cem\u003eT. marneffei\u003c/em\u003e infection.\u003c/p\u003e\u003cp\u003eChest CT demonstrated anterior chest wall soft tissue infection with multilevel osteolytic lesions (sternum, T3, T5 left transverse process, T8 spinous process)( Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eB), right lower lobe consolidation, right upper lobe nodules, and mediastinal lymphadenopathy; laboratory analysis revealed leukocytosis (17.74\u0026times;10⁹/L) with neutrophilia (89.1%), severe anemia (Hb 77 g/L), thrombocytosis (563\u0026times;10⁹/L), elevated inflammatory markers (CRP 138 mg/L, PCT 0.161 ng/mL), and negative tuberculosis IFN-γ release assay.\u003c/p\u003e\u003cp\u003eFollowing admission, mNGS of BALF uniquely identified \u003cem\u003eT. marneffei\u003c/em\u003e, while parallel mNGS and microbiological testing (blood/wound/sputum/biopsies) yielded no pathogens. Given clinical deterioration, cytomorphological analysis (Wright-Giemsa staining) of ulcer secretions revealed intraphagocytic unstained bacilli (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eC-E). Acid-fast staining demonstrated intracellular acid-fast bacilli (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eF), providing a presumptive diagnosis of mycobacterial coinfection. Definitive identification of \u003cem\u003eM. colombiense\u003c/em\u003e by culture and MALDI-TOF MS was achieved 28 days after transfer to the specialised centre, confirming the cytomorphology-guided diagnosis.\u003c/p\u003e\u003cp\u003eInitial empirical broad-spectrum antibacterial therapy (including piperacillin-sulbactam, carbapenems) and antifungal therapy (voriconazole), combined with surgical debridement, failed to resolve fever or wounds. Given the positive acid-fast smear and tuberculin skin test (TST), despite inconclusive results for M. tuberculosis, empirical anti-tuberculosis therapy (standard 2HREZ/10HRE regimen) was initiated, pending definitive identification. However, drug-induced hepatotoxicity (ALT 138.3 U/L, ref\u0026thinsp;\u0026lt;\u0026thinsp;40) necessitated regimen discontinuation and transfer to a specialised centre. Following the institution of targeted anti-infective therapy, complete symptom resolution was confirmed at 6-month follow-up (treatment details unavailable per institutional data policy).\u003c/p\u003e\u003cp\u003e\u003cb\u003eSystematic review of global\u003c/b\u003e \u003cb\u003eM. colombiense\u003c/b\u003e \u003cb\u003einfections\u003c/b\u003e\u003c/p\u003e"},{"header":"Methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003cp\u003eSystematic searches in PubMed (\"Mycobacterium colombiense\"[Mesh]) AND (\"infection\"[Mesh] OR infection), yielded n\u0026thinsp;=\u0026thinsp;36) and Google Scholar (\"Mycobacterium colombiense\" AND infection AND \"case report\" AND disseminated, yielded n\u0026thinsp;=\u0026thinsp;421) retained 14 articles per database after title/abstract screening. Removal of 12 duplicates resulted in 16 unique publications, from which patient-level data extraction identified 14 single-case reports(1\u0026ndash;14), Tang et al. (Int J Infect Dis 2023)(15) reporting 9 cases, and Guo et al. (Infect Drug Resist 2023)(16) contributing 3 cases, constituting a 26-patient cohort for analysis (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA)\u003c/p\u003e\u003c/div\u003e"},{"header":"Results","content":"\u003cp\u003e\u003cem\u003eM. colombiense\u003c/em\u003e infection predominantly affected middle-aged and elderly patients (median age, 50.5years) and immunocompromised individuals (73.1%). The most frequent sites were the lymph nodes and lungs (lymph nodes: 73.1%, lungs: 65.4%), followed by bones and joints (38.5%), skin (38.5%), liver (15.4%), trachea (11.5%), and spleen (3.8%). Modern molecular diagnostic techniques (mNGS/tNGS) were employed in 57.7% (15/26) of cases, compared to(38.5%,10/26) using culture combined with targeted sequencing. Despite anti-NTM therapy administered to 92.3% (24/26) of patients, the overall mortality rate was 23.1% (6/26). Among the fatal cases, 1 patient did not receive anti-NTM therapy, treatment status was unknown for 1 patient, and 4 had disseminated infection and received treatment. ( Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003eA and Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e\u003cimg 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\" width=\"541\" height=\"576\"\u003e\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003e\u003cem\u003eT. marneffei\u003c/em\u003e, a thermally dimorphic fungus, is endemic to and predominantly affects HIV-infected individuals in Southeast Asia (17). It can cause skin and soft tissue lesions, hepatosplenomegaly, lymphadenopathy, respiratory symptoms, osteoarticular involvement and abdominal discomfort. Osteolytic lesions, which are exceedingly rare and often misdiagnosed (17\u0026ndash;19), predominantly occur in HIV-negative individuals. Critically, this symptom complex demonstrates substantial overlap with \u003cem\u003eM. colombiense\u003c/em\u003e infection, establishing a high-risk diagnostic blind spot in co-endemic settings.\u003c/p\u003e\u003cp\u003e\u003cem\u003eM. colombiense\u003c/em\u003e is an emerging non-tuberculous mycobacterium (NTM). Since its first description in 2006, its clinical profile remains incompletely characterised. This systematic review (n\u0026thinsp;=\u0026thinsp;26) reveals for the first time that infection with this pathogen demonstrates a significant propensity for disseminated disease, primarily targeting a lymphatic-pulmonary axis (lymph node 73.1%, lung 65.4%) and is associated with a high frequency of bone and joint involvement (38.5%) (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). Molecular techniques (mNGS/tNGS) served as primary or adjunctive diagnostic methods in 57.7% (15/26) of cases. However, access to these technologies remains limited in resource-limited settings, where pathogen identification continues to rely predominantly on traditional culture combined with targeted gene sequencing (e.g., 16S rRNA, hsp65, rpoB) or MALDI-TOF MS. Despite 92.3% of patients receiving anti-NTM therapy, mortality was high at 23.1% (6/26), with disseminated infection being the primary cause of death in the majority of fatal cases (accounting for 4/6 deaths).\u003c/p\u003e\u003cp\u003eIn this case, the index case of dual infection (\u003cem\u003eT. marneffei\u003c/em\u003e\u0026thinsp;\u003cb\u003e+\u003c/b\u003e\u0026thinsp;\u003cem\u003eM. colombiense\u003c/em\u003e) exemplifies this diagnostic crisis: the patient presented with fever, anaemia, and multiorgan involvement (skin, lungs, bones, and lymph nodes). Figure\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eC-F illustrates our diagnostic algorithm, key steps include: Conventional methods failure (smear/culture/PCR negative),mNGS detects \u003cem\u003eT. marneffei\u003c/em\u003e but misses \u003cem\u003eM. colombiense\u003c/em\u003e, Cytomorphology breakthrough: Neutrophils/Macrophages phagocytosing bacilli that are negative for Wright-Giemsa staining but positive for acid-fast staining (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eC-F), prompts mycobacterium-targeted testing, Culture\u0026thinsp;+\u0026thinsp;MALDI-TOF MS confirms \u003cem\u003eM. colombiense\u003c/em\u003e. This case exemplifies how the T-MAP algorithm successfully bridged the diagnostic gap created by the limitations of conventional methods and mNGS alone in this coinfection scenario.\u003c/p\u003e\u003cp\u003eThis study is limited by its single-case validation of T-MAP. While the T-MAP strategy proved critical in diagnosing this novel coinfection, its broader applicability requires prospective validation. We propose a multi-centre study design: Patients with suspected polymicrobial infections (e.g., antifungal/antibiotic-refractory fever\u0026thinsp;+\u0026thinsp;multiorgan involvement) in \u003cem\u003eT. marneffei\u003c/em\u003e-endemic regions would undergo parallel testing via: (1) Conventional pathway (culture/PCR/mNGS); (2) T-MAP pathway (morphological screening \u0026rarr; targeted AFB/Fungal staining \u0026rarr; guided molecular/culture) (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003eG). Primary endpoints would include diagnostic sensitivity for co-infections and reduction in time-to-diagnosis.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Taba\" border=\"1\"\u003e\u003ccolgroup cols=\"2\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cdiv class=\"SimplePara\"\u003eT-MAP\u003c/div\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cdiv class=\"SimplePara\"\u003eTopography-Morphology guided Algorithmic Polymicrobial diagnostics\u003c/div\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cdiv class=\"SimplePara\"\u003eMAC\u003c/div\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cdiv class=\"SimplePara\"\u003eMycobacterium avium\u003c/div\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cdiv class=\"SimplePara\"\u003eBALF\u003c/div\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cdiv class=\"SimplePara\"\u003eBronchoalveolar lavage fluid\u003c/div\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cdiv class=\"SimplePara\"\u003eMALDI-TOF MS\u003c/div\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cdiv class=\"SimplePara\"\u003eMatrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry。\u003c/div\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cdiv class=\"SimplePara\"\u003emNGS\u003c/div\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cdiv class=\"SimplePara\"\u003emetagenomic Next-Generation Sequencing\u003c/div\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cdiv class=\"SimplePara\"\u003etNGS\u003c/div\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cdiv class=\"SimplePara\"\u003eTargeted Next-Generation Sequencing\u003c/div\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cdiv class=\"SimplePara\"\u003eNTM\u003c/div\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cdiv class=\"SimplePara\"\u003eNontuberculous Mycobacteria\u003c/div\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\"\u003e\u003cdiv class=\"SimplePara\"\u003eTST\u003c/div\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cdiv class=\"SimplePara\"\u003eTuberculin Skin Test\u003c/div\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003cbr/\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe are grateful to the Fourth People\u0026rsquo;s Hospital of Nanning for their assistance with mass spectrometry detection.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor Contributions \u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eYuyi Lai: Performed cytomorphological analysis, interpreted cytology data, and drafted the initial manuscript. Jinxiong Xu: Managed clinical diagnosis, treatment decisions, surgical intervention, and patient follow-up.Yongjun Su: Conducted mycobacterial/fungal cultures, MALDI-TOF MS identification, and data collection. Yaochan Yao: Curated systematic review data, performed statistical analysis, and prepared figures/tables. Yingqun Zhou: Conceptualised the study, designed the T-MAP algorithm, supervised methodology, critically revised the manuscript, and ensured quality control. \u0026nbsp;All authors approved the final manuscript and are accountable for their contributions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNone\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study was approved by the Ethics Committee of Nanning First People\u0026rsquo;s Hospital and informed consent has been obtained from the patient prior to analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWritten informed consent was obtained from the patient for publication of this case report and any accompanying images. A copy of the written consent is available for review by the Editor-in-Chief of this journal.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll data generated or analyzed during this study are included in this published article and its supplementary information files. The dataset supporting the systematic review is available from the corresponding author on reasonable request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eClinical trial number\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNot applicable\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eEsparcia \u0026Oacute;, Navarro F, Quer M, Coll P. Lymphadenopathy Caused by Mycobacterium colombiense. J Clin Microbiol [Internet]. 2008 May [cited 2025 Apr 22];46(5):1885\u0026ndash;7. 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Acta Derm Venereol [Internet]. 2014 Mar 17 [cited 2025 Jul 2];94(6):727\u0026ndash;8. Available from: https://medicaljournalssweden.se/actadv/article/view/6474\u003c/li\u003e\n\u003cli\u003ePena E, Machado D, Viveiros M, Jord\u0026atilde;o S. A case report of disseminated mycobacterium colombiense infection in an HIV patient. Int J Mycobacteriol. 2019;8(3):295\u0026ndash;7. \u003c/li\u003e\n\u003cli\u003eBarretto AR, Fel\u0026iacute;cio JS, Sales LHM, Yamada ES, Lopes ML, da Costa ARF. A fatal case of pulmonary infection by \u003cem\u003emycobacterium colombiense\u003c/em\u003e in para state, amazon region, brazil. Diagn Microbiol Infect Dis [Internet]. 2016 Jul 1 [cited 2025 Jun 1];85(3):344\u0026ndash;6. Available from: https://www.sciencedirect.com/science/article/pii/S0732889316300128\u003c/li\u003e\n\u003cli\u003eMatthew Mifsud PI Keith Basler,. HIV associated Mycobacterium colombiense cervical lymphadenitis: A case report. J Microbiol Infect Dis [Internet]. 2017 Jun 1 [cited 2025 Jun 5];101\u0026ndash;101. Available from: https://www.jmidonline.org/?mno=302657328\u003c/li\u003e\n\u003cli\u003eInagaki Y, Ito T, Kato T, Ono Y, Sawa M. Disseminated Cutaneous Infection of Mycobacterium colombiense in a Patient with Myelodysplastic Syndrome. Intern Med [Internet]. 2018 Feb 1 [cited 2025 Apr 21];57(3):423\u0026ndash;7. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5827328/\u003c/li\u003e\n\u003cli\u003eGosal J, Lee BC. A case report of fatal disseminated \u003cem\u003emycobacterium colombiense\u003c/em\u003e infection in a renal transplant recipient. Transpl Infect Dis [Internet]. 2018 Aug [cited 2025 Jun 5];20(4):e12890. Available from: https://onlinelibrary.wiley.com/doi/10.1111/tid.12890\u003c/li\u003e\n\u003cli\u003eYu X, Jiang W. Mycobacterium colombiense and mycobacterium avium complex causing severe pneumonia in a patient with HIV identified by a novel molecular-based method. Infect Drug Resist [Internet]. 2021 Jan 6 [cited 2025 Jun 4];14:11\u0026ndash;6. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797356/\u003c/li\u003e\n\u003cli\u003eSun X, Zhang T, Sun H, Sun X. Disseminated nontuberculous mycobacterial infection with cryptic immunodeficiency mimicking malignancy: a case report. BMC Pulm Med [Internet]. 2022 Nov 29 [cited 2025 Apr 25];22:452. Available from: https://pmc.ncbi.nlm.nih.gov/articles/PMC9706953/\u003c/li\u003e\n\u003cli\u003eMatono T, Suzuki S, Yamate R, Nakamura K, Sakagami T. Diagnostic and therapeutic challenges in disseminated mycobacterium colombiense infection caused by interferon-\u0026gamma; neutralizing autoantibodies. Open Forum Infect Dis [Internet]. 2023 Jan 27 [cited 2025 Jun 1];10(2):ofad035. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929714/\u003c/li\u003e\n\u003cli\u003eZuo Z, Zheng R, Li F, Xu A, Shi J. Coinfection of \u003cem\u003eCytomegalovirus\u003c/em\u003e, \u003cem\u003ePneumocystis jirovecii pneumonia\u003c/em\u003e, COVID-19, and \u003cem\u003eMycobacterium colombiense\u003c/em\u003e in an AIDS patient: A case report. Heliyon [Internet]. 2024 Jun 15 [cited 2025 Jun 5];10(11):e31729. Available from: https://www.sciencedirect.com/science/article/pii/S2405844024077600\u003c/li\u003e\n\u003cli\u003eQin J, Tang G. Disseminated mycobacterium colombiense infection mimicking malignancy: a case report. Heliyon [Internet]. 2024 Apr 30 [cited 2025 Apr 22];10(9):e30567. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11079310/\u003c/li\u003e\n\u003cli\u003eScienceDirect Snapshot [Internet]. [cited 2025 Jul 7]. Available from: https://www.sciencedirect.com/science/article/pii/S1201971223000036\u003c/li\u003e\n\u003cli\u003eGuo Y, Li X, Xiao Q, Yang J, Tao R, Xu L, et al. Mycobacterium colombiense pneumonia in HIV-infected patients: three case reports and a literature review. Infect Drug Resist [Internet]. 2023 Dec 22 [cited 2025 Jun 4];16:7767\u0026ndash;73. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10750772/\u003c/li\u003e\n\u003cli\u003eQiu Y, Zhang J, Liu G, Zhong X, Deng J, He Z, et al. Retrospective analysis of 14 cases of disseminated penicillium marneffei infection with osteolytic lesions. BMC Infect Dis [Internet]. 2015 Feb 6 [cited 2025 Apr 23];15:47. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4322545/\u003c/li\u003e\n\u003cli\u003eChan JF, Lau SK, Yuen KY, Woo PC. Talaromyces (penicillium) marneffei infection in non-HIV-infected patients. Emerging Microbes Infect [Internet]. 2016 Mar [cited 2025 Apr 21];5(3):e19. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4820671/\u003c/li\u003e\n\u003cli\u003eChen L, Zhang M, Guo W, Ding W, Tan J, Du H, et al. Case report: acute talaromyces marneffei mediastinitis in an HIV-negative patient. 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Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9692072/\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Talaromyces marneffei, Mycobacterium colombiense, Coinfection, Cytomorphology, T-MAP algorithm","lastPublishedDoi":"10.21203/rs.3.rs-7686418/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7686418/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cem\u003eTalaromyces marneffei\u003c/em\u003e(\u003cem\u003eT. marneffei\u003c/em\u003e) is a well-recognised opportunistic pathogen in immunocompromised hosts, while \u003cem\u003eMycobacterium colombiense\u003c/em\u003e(\u003cem\u003eM. colombiense\u003c/em\u003e) represents an emerging non-tuberculous mycobacterium. Coinfection with these pathogens has never been reported, particularly in immunocompetent individuals.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe present the first documented case of \u003cem\u003eT. marneffei\u003c/em\u003e - \u003cem\u003eM. colombiense\u003c/em\u003e coinfection in an immunocompetent host, integrated with a PRISMA-compliant systematic review of global \u003cem\u003eM. colombiense\u003c/em\u003e infections (2008–2024).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCase and Results\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eA 50-year-old immunocompetent woman presented with chest wall osteomyelitis, a non-healing wound, and persistent fever. Metagenomic next-generation sequencing (mNGS) of bronchoalveolar lavage fluid uniquely detected \u003cem\u003eT. marneffei\u003c/em\u003e. However, comprehensive testing (including mNGS and microbiological culture) of blood, wound exudate, sputum, and biopsies yielded no significant pathogens, and voriconazole monotherapy proved ineffective. Cytomorphological analysis of wound exudate revealed phagocytosed bacilli unstained by Wright-Giemsa within phagocytes, prompting targeted acid-fast staining and mycobacterial culture, which subsequently identified \u003cem\u003eM. colombiense\u003c/em\u003e by MALDI-TOF MS. Systematic analysis of 26 global \u003cem\u003eM. colombiense\u003c/em\u003e cases revealed: Dominant lymphatic-pulmonary involvement(Lymph nodes: 73.1%, Lungs: 65.4%,); Pronounced osteocutaneous tropism (Bone/Joint: 38.5%, Skin: 38.5%); Substantial mortality(23.1%, 6/26).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis study establishes: (1) The first evidence of \u003cem\u003eT. marneffei\u003c/em\u003e - \u003cem\u003eM. colombiense\u003c/em\u003e coinfection in immunocompetent hosts; (2) The crucial role of cytomorphology in overcoming coinfection blind spots; (3) A diagnostic T-MAP algorithm (Cytomorphology- morphology-guided targeted testing, followed by molecular and culture confirmation); (4) \u003cem\u003eM. colombiense 's\u003c/em\u003e distinct clinical profile characterised by significant osteocutaneous tropism and high mortality (23.1%).\u003c/p\u003e","manuscriptTitle":"Cytomorphology Unmasks Occult Mycobacterium colombiense Coinfection in Talaromyces marneffei Infection: First Case Report and Systematic Review of 26 Cases (2008-2024)","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-26 00:52:38","doi":"10.21203/rs.3.rs-7686418/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"a7eda184-52f4-4100-8ad1-9be4468f7d52","owner":[],"postedDate":"October 26th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-12-16T07:54:43+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-26 00:52:38","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7686418","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7686418","identity":"rs-7686418","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}