Tag: differential diagnosis

Metabolomics-Based Machine Learning Diagnostics of Post-Acute Sequelae of SARS-CoV-2 Infection

Abstract:

Background: COVID-19 has taken millions of lives and continues to affect people worldwide. Post-Acute Sequelae of SARS-CoV-2 Infection (also known as Post-Acute Sequelae of COVID-19 (PASC) or more commonly, Long COVID) occurs in the aftermath of COVID-19 and is poorly understood despite its widespread effects.

Methods: We created a machine-learning model that distinguishes PASC from PASC-similar diseases. The model was trained to recognize PASC-dysregulated metabolites (p ≤ 0.05) using molecular descriptors.

Results: Our multi-layer perceptron model accurately recognizes PASC-dysregulated metabolites in the independent testing set, with an AUC-ROC of 0.8991, and differentiates PASC from myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS), Lyme disease, postural orthostatic tachycardia syndrome (POTS), and irritable bowel syndrome (IBS). However, it was unable to differentiate fibromyalgia (FM) from PASC.

Conclusions: By creating and testing models pairwise on each of these diseases, we elucidated the unique strength of the similarity between FM and PASC relative to other PASC-similar diseases. Our approach is unique to PASC diagnosis, and our use of molecular descriptors enables our model to work with any metabolite where molecular descriptors can be identified, as these descriptors can be generated and compared for any metabolite. Our study presents a novel approach to PASC diagnosis that partially circumvents the lengthy process of exclusion, potentially facilitating faster interventions and improved patient outcomes.

Source: Cai E, Kouznetsova VL, Tsigelny IF. Metabolomics-Based Machine Learning Diagnostics of Post-Acute Sequelae of SARS-CoV-2 Infection. Metabolites. 2025 Dec 17;15(12):801. doi: 10.3390/metabo15120801. PMID: 41441042; PMCID: PMC12734907. https://pmc.ncbi.nlm.nih.gov/articles/PMC12734907/ (Full text)

Blood parameters differentiate post COVID-19 condition from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Fibromyalgia

Abstract:

Post-COVID-19 condition, such as Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) and Fibromyalgia (FM), are characterized by fatigue, pain, shortness of breath, sleep disturbances, cognitive dysfunction and other symptoms, heavily impacting on patients daily functioning. Moreover, over half of patients end up fulfilling ME/CFS and/or FM clinical criteria after a few months of SARS-CoV-2 infection.

Expression of the toxic human endogenous retrovirus (HERV)-W ENV protein can be induced by viral infection and HERV-W detection was correlated with acute COVID-19 severity and found significantly expressed in post-COVID-19 condition. This study shows that HERV-W ENV may also be present in prepandemic cases of ME/CFS, FM or co-diagnosed with both clinical criteria, suggesting viral participation in these chronic diseases.

To learn whether associated antiviral mechanisms may also show differing patterns of immunological responses, we measured IgM, IgG, IgA and IgE antibody isotypes against SARS-CoV-2 spike and nucleocapsid antigens, the levels of IL-6, IL-8, IL-10, IFNγ and TNFα cytokines, the level of NfL, a neural damage biomarker, as well as some blood cell markers potentially related with fatigue.

Importantly, some of the measured variables showed a capacity to discriminate post-COVID-19 condition cases from all other participants, with 100 % sensitivity and up to 71.9 % specificity providing a new tool for a differential diagnosis between diseases or syndromes with so many overlapping clinical symptoms. Interestingly, the detected markers showed moderate-to-strong correlations with patient symptoms pointing at novel therapeutic opportunities.

Source: Giménez-Orenga K, Pierquin J, Brunel J, Charvet B, Martín-Martínez E, Lemarinier M, Fried S, Lucas A, Perron H, Oltra E. Blood parameters differentiate post COVID-19 condition from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Fibromyalgia. Brain Behav Immun Health. 2025 Jul 4;48:101058. doi: 10.1016/j.bbih.2025.101058. PMID: 40726775; PMCID: PMC12302357. https://pmc.ncbi.nlm.nih.gov/articles/PMC12302357/ (Full text)

Differential diagnosis between “chronic fatigue” and “chronic fatigue syndrome”

Introduction:

Fatigue is a common complaint experienced by most of subjects during lifetime, which affects approximately 30–50% of general population as point prevalence. According to the fatigue-lasting duration, it is classified as acute (<1 month), prolonged (>1 month, <6 months), and chronic fatigue (≥6 months), respectively. Acute fatigue is generally disappears after taking a rest or treating the causative diseases, while uncontrolled prolonged and chronic fatigue limit the physical and social activities. Especially, medically unexplained chronic fatigue is a debilitating status, such as idiopathic chronic fatigue (ICF) and chronic fatigue syndrome (CFS).

Source: Son CG. Differential diagnosis between “chronic fatigue” and “chronic fatigue syndrome”. Integr Med Res. 2019 Jun;8(2):89-91. doi: 10.1016/j.imr.2019.04.005. Epub 2019 Apr 12. PMID: 31193269; PMCID: PMC6522773. https://pmc.ncbi.nlm.nih.gov/articles/PMC6522773/ (Full text)

Monocytes subpopulations pattern in the acute respiratory syndrome coronavirus 2 virus infection and after long COVID-19

Abstract:

Introduction and objective: The present study sought to characterize the pattern of monocyte subpopulations in patients during the course of the infections caused by SARS-CoV-2 virus or who presented long COVID-19 syndrome compared to monocytes from patients with zika virus (Zika) or chikungunya virus (CHIKV).

Casuistry: Study with 89 peripheral blood samples from patients, who underwent hemogram and serology (IgG and IgM) for detection of Zika (Control Group 1, n = 18) or CHIKV (Control Group 2, n = 9), and from patients who underwent hemogram and reverse transcription polymerase chain reaction for detection of SARS-CoV-2 at the acute phase of the disease (Group 3, n = 19); and of patients who presented long COVID-19 syndrome (Group 4, n = 43). The monocyte and subpopulations counts were performed by flow cytometry.

Results: No significant difference was observed in the total number of monocytes between the groups. The classical (CD14++CD16–) and intermediate (CD14+CD16+) monocytes counts were increased in patients with acute infection or with long COVID-19 syndrome. The monocytes subpopulations counts were lower in patients with infection Zika or CHIKV.

Conclusion: Increase in the monocyte subpopulations in patients with acute infection or with long COVID-19 syndrome may be an important finding of differentiated from the infection Zika or CHIKV.

Source: Pereira VIC, de Brito Junior LC, Falcão LFM, da Costa Vasconcelos PF, Quaresma JAS, Berg AVVD, Paixão APS, Ferreira RIS, Diks IBC. Monocytes subpopulations pattern in the acute respiratory syndrome coronavirus 2 virus infection and after long COVID-19. Int Immunopharmacol. 2023 Oct 5;124(Pt B):110994. doi: 10.1016/j.intimp.2023.110994. Epub ahead of print. PMID: 37804653. https://www.sciencedirect.com/science/article/abs/pii/S156757692301319X

High Prevalence of Alternative Diagnoses in Children and Adolescents with Suspected Long COVID-A Single Center Cohort Study

Abstract:

Background: Long COVID (LC) is a diagnosis that requires exclusion of alternative somatic and mental diseases. The aim of this study was to examine the prevalence of differential diagnoses in suspected pediatric LC patients and assess whether adult LC symptom clusters are applicable to pediatric patients.

Materials and methods: Pediatric presentations at the Pediatric Infectious Diseases Department of the University Hospital Essen (Germany) were assessed retrospectively. The correlation of initial symptoms and final diagnoses (LC versus other diseases or unclarified) was assessed. The sensitivity, specificity, negative and positive predictive values of adult LC symptom clusters were calculated.

Results: Of 110 patients, 32 (29%) suffered from LC, 52 (47%) were diagnosed with alternative somatic/mental diseases, and 26 (23%) remained unclarified. Combined neurological and respiratory clusters displayed a sensitivity of 0.97 (95% CI 0.91-1.00) and a negative predictive value of 0.97 (0.92-1.00) for LC.

Discussion/conclusions: The prevalence of alternative somatic and mental diseases in pediatric patients with suspected LC is high. The range of underlying diseases is wide, including chronic and potentially life-threatening conditions. Neurological and respiratory symptom clusters may help to identify patients that are unlikely to be suffering from LC.

Source: Goretzki SC, Brasseler M, Dogan B, Hühne T, Bernard D, Schönecker A, Steindor M, Gangfuß A, Della Marina A, Felderhoff-Müser U, Dohna-Schwake C, Bruns N. High Prevalence of Alternative Diagnoses in Children and Adolescents with Suspected Long COVID-A Single Center Cohort Study. Viruses. 2023 Feb 20;15(2):579. doi: 10.3390/v15020579. PMID: 36851793; PMCID: PMC9961131. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9961131/ (Full text)

Idiopathic combined adrenocorticotropin and growth hormone deficiency mimicking chronic fatigue syndrome

Abstract:

A 42-year-old man who had suffered from severe fatigue for 5 years was diagnosed as having chronic fatigue syndrome (CFS) and fibromyalgia. Endocrinological workup using combined anterior pituitary function tests showed that the patient had adrenocorticotropin hormone (ACTH) deficiency, with a normal pituitary MRI. Treatment with a physiologic dose of oral hydrocortisone replacement physically ameliorated his general fatigue. A secondary workup using a growth hormone-releasing peptide-2 test revealed that he also had growth hormone (GH) deficiency, and GH replacement therapy was started. His muscle pain and depression were improved by the therapy. Here, we present a rare case of combined deficiency of ACTH and GH in a middle-aged man with severe general fatigue. This case report aims to raise awareness of combined deficiency of ACTH and GH as a differential diagnosis of CFS and its mimics.

Source: Tokumasu K, Ochi K, Otsuka F. Idiopathic combined adrenocorticotropin and growth hormone deficiency mimicking chronic fatigue syndrome. BMJ Case Rep. 2021 Oct 22;14(10):e244861. doi: 10.1136/bcr-2021-244861. PMID: 34686480. https://pubmed.ncbi.nlm.nih.gov/34686480/

Identification of marker genes for differential diagnosis of chronic fatigue syndrome

Abstract:

Chronic fatigue syndrome (CFS) is a clinically defined condition characterized by long-lasting disabling fatigue. Because of the unknown mechanism underlying this syndrome, there still is no specific biomarker for objective assessment of the pathological fatigue. We have compared gene expression profiles in peripheral blood between 11 drug-free patients with CFS and age- and sex-matched healthy subjects using a custom microarray carrying complementary DNA probes for 1,467 stress-responsive genes.

We identified 12 genes whose mRNA levels were changed significantly in CFS patients. Of these 12 genes, quantitative real-time PCR validated the changes in 9 genes encoding granzyme in activated T or natural killer cells (GZMA), energy regulators (ATP5J2, COX5B, and DBI), proteasome subunits (PSMA3 and PSMA4), putative protein kinase c inhibitor (HINT ), GTPase (ARHC), and signal transducers and activators of transcription 5A (STAT5A).

Next, we performed the same microarray analysis on 3 additional CFS patients and 20 other patients with the chief complaint of long-lasting fatigue related to other disorders (non-CFS patients) and found that the relative mRNA expression of 9 genes classified 79% (11/14) of CFS and 85% (17/20) of the non-CFS patients.

Finally, real-time PCR measurements of the levels of the 9 involved mRNAs were done in another group of 18 CFS and 12 non-CFS patients. The expression pattern correctly classified 94% (17/18) of CFS and 92% (11/12) of non-CFS patients. Our results suggest that the defined gene cluster (9 genes) may be useful for detecting pathological responses in CFS patients and for differential diagnosis of this syndrome.

 

Source: Saiki T, Kawai T, Morita K, Ohta M, Saito T, Rokutan K, Ban N. Identification of marker genes for differential diagnosis of chronic fatigue syndrome. Mol Med. 2008 Sep-Oct;14(9-10):599-607. doi: 10.2119/2007-00059.Saiki. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2442021/ (Full article)

 

Identification and application of marker genes for differential diagnosis of chronic fatigue syndrome

Abstract:

Chronic fatigue syndrome (CFS) is a complex disease and has no laboratory biomarkers, which makes diagnosis of CFS difficult. Several research groups challenged to identify genes specific for CFS; however, there are no overlaps between studies. The U.S. Centers for Disease Control and Prevention reported remarkable gene expression profiles of a large scale cohort study recruited 227 people. Reported genes were mostly different from the previously reported genes, again featuring the complexity of CFS. Separately, we identified 9 genes that were significantly and differentially expressed between CFS patients and healthy subjects using an original microarray. The changes in expression of 9 genes were confirmed by quantitative PCR. We also demonstrated the usefulness of 9 genes for differential diagnosis of CFS.

 

Source: Kawai T, Rokutan K. Identification and application of marker genes for differential diagnosis of chronic fatigue syndrome. Nihon Rinsho. 2007 Jun;65(6):1029-33. [Article in Japanese] https://www.ncbi.nlm.nih.gov/pubmed/17561693

 

Differential diagnosis for chronic fatigue syndrome

Comment on: Chronic fatigue syndrome: evaluation and treatment. [Am Fam Physician. 2002]

 

To the Editor: I have just read the recent article on chronic fatigue syndrome (CFS). While the authors present an excellent framework for the evaluation and management of patients with chronic fatigue, they have overlooked a differential diagnosis. Celiac disease, also known as gluten-sensitive enteropathy (GSE), may present as CFS and is highly treatable.

You can read the rest of this comment here:  http://www.aafp.org/afp/2003/0115/p252.html

 

Source: Nelsen DA Jr. Differential diagnosis for chronic fatigue syndrome. Am Fam Physician. 2003 Jan 15;67(2):252; author reply 252 http://www.aafp.org/afp/2003/0115/p252.html (Full article)

 

Chronic fatigue syndrome. More and more differential diagnoses suggest a new view of this syndrome

Abstract:

The diagnosis of chronic fatigue syndrome (CFS) requires a number of symptoms beyond chronic fatigue, according to the criteria developed in 1994 by the US Centers for Disease Control (CDC) International CFS Study Group. CFS is thus no synonym for chronic fatigue but rather an unusual syndrome afflicting no more than 0.1% of the population. Several CFS definitions have been developed over the years, and it is common for investigators to erroneously compare studies based on different definitions, which nevertheless all use the term CFS. Much of our “understanding” of CFS does not apply to the small group of patients who fulfill the current (1994) CDC definition (above). Recent studies have shown that a number of somatic diseases can present with CFS symptoms and thus be misdiagnosed as CFS. This review presents a list of such differential diagnoses, mainly chronic infections, endocrine diseases, and allergies. In view of these differential diagnoses (1) investigation and therapy must be individualized, and (2) we should offer rehabilitation where different specialists work as a coordinated team.

Comment in:

Chronic fatigue syndrome is a condition still without medical explanation. [Lakartidningen. 2002]

Chronic fatigue belongs to the emotional life’s domains. [Lakartidningen. 2002]

Research on chronic fatigue syndrome face to face with a paradigm shift. [Lakartidningen. 2002]

 

Source: Merz S. Chronic fatigue syndrome. More and more differential diagnoses suggest a new view of this syndrome. Lakartidningen. 2002 Aug 22;99(34):3282-7. [Article in Swedish] http://www.ncbi.nlm.nih.gov/pubmed/12362846