A case report of ocular infection caused by Aspergillus fumigatus

Aspergillus fumigatus (A. fumigatus) can cause invasive infections in various sites of the body, including invasive pulmonary, hematogenous disseminated, and intracranial infections, posing substantial challenges for diagnosis and treatment. The methods of identification in this laboratory are worthy of study.

A 44-year-old male was admitted to our hospital with a 1.5-month history of bilateral scleral icterus accompanied by progressive visual deterioration. The patient was previously diagnosed with acute liver failure [hepatitis B e-antigen (HBeAg)-negative chronic hepatitis B] at another hospital. During hospitalization, his vision in the left eye decreased. Slit-lamp examination during ophthalmologic consultation suggested left endophthalmitis, with concurrent suspicion of retinal detachment. Examinations at admission confirmed the presence of hepatitis B virus (HBV) DNA, acute liver failure (Child-Pugh Class C), moderate anemia. The levels of the inflammatory markers were significantly elevated, including interleukin (IL-6, IL-8, IL-1β), and interferon-gamma (IFN-γ). After obtaining informed consent, emergency vitrectomy of the left eye was performed, retinal detachment repositioning and laser photocoagulation for retinal lesions, cryotherapy for retinal lesions, and vitreous silicone oil implantation in the left eye. The vitreous was cultured, then identified using next-generation metagenomic sequencing (mNGS) technology, enabling the detection of Aspergillus within a short period of time. This enabled a rapid diagnosis of Aspergillus endophthalmitis, guiding subsequent clinical management. After undergoing anti-infection and liver-protective treatment, the patient's condition stabilized and he was discharged from the hospital.

mNGS is a technology that can directly perform high-throughput sequencing of all the genetic material (DNA and/or RNA) of microorganisms in clinical samples (such as blood, bronchoalveolar lavage fluid, cerebrospinal fluid, etc.). The combination of mNGS and conventional detection methods effectively improves the detection rate of fungi.