| Literature DB >> 35986236 |
Etianne Martini Sasso1,2,3, Katsuhiko Muraki4,5, Natalie Eaton-Fitch6,4, Peter Smith4,7, Olivia Ly Lesslar8,9, Gary Deed10, Sonya Marshall-Gradisnik6,4.
Abstract
BACKGROUND: Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a severe multisystemic condition associated with post-infectious onset, impaired natural killer (NK) cell cytotoxicity and impaired ion channel function, namely Transient Receptor Potential Melastatin 3 (TRPM3). Long-term effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has resulted in neurocognitive, immunological, gastrointestinal, and cardiovascular manifestations recently recognised as post coronavirus disease 2019 (COVID-19) condition. The symptomatology of ME/CFS overlaps significantly with post COVID-19; therefore, this research aimed to investigate TRPM3 ion channel function in post COVID-19 condition patients.Entities:
Keywords: Coronavirus; Myalgic encephalomyelitis/chronic fatigue syndrome; Natural killer cells; Post COVID-19 condition; SARS-CoV-2; Transient receptor potential melastatin 3; Whole-cell patch clamp electrophysiology
Mesh:
Year: 2022 PMID: 35986236 PMCID: PMC9388968 DOI: 10.1186/s10020-022-00528-y
Source DB: PubMed Journal: Mol Med ISSN: 1076-1551 Impact factor: 6.376
Participant demographics
| HC | ME/CFS | Post COVID-19 condition | P-value | |
|---|---|---|---|---|
| Age (years) | 39.80 ± 14.77 | 41.00 ± 9.16 | 50.80 ± 8.76 | 0.362 |
| Gender N (%) | ||||
| Female | 4 (80.0%) | 3 (60.0%) | 3 (60.0%) | 0.756 |
| Male | 1 (20.0%) | 2 (40.0%) | 2 (40.0%) | |
| BMI (kg/m2) | 23.06 ± 2.80 | 24.00 ± 3.73 | 27.82 ± 1.53 | 0.054 |
| Employment status | ||||
| Full time | 3 (60.0%) | 1 (20.0%) | 4 (80.0%) | 0.113 |
| Part time | 1 (20.0%) | 0 (0.0%) | 0 (0.0%) | |
| Casual | 1 (20.0%) | 1 (20.0%) | 0 (0.0%) | |
| Unemployed | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
| Illness/disability | 0 (0.0%) | 3 (60.0%) | 1 (20.0%) | |
| Education | ||||
| Primary education | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 0.364 |
| High school | 1 (20.0%) | 1 (20.0%) | 0 (0.0%) | |
| Undergraduate | 2 (40.0%) | 2 (40.0%) | 2 (40.0%) | |
| Postgraduate/doctoral | 2 (40.0%) | 2 (40.0%) | 1 (20.0%) | |
| Other | 0 (0.0%) | 0 (0.0%) | 2 (40.0%) |
Data presented as mean ± SD or N (%). HC healthy control, ME/CFS myalgic encephalomyelitis/chronic fatigue syndrome, BMI body mass index, N number of participants
Participant quality of life, disability scores and serology
| HC | ME/CFS | Post COVID-19 condition | P-value | |
|---|---|---|---|---|
| Physical functioning | 100.0 ± 0.0 | 39.00 ± 22.75 | 52.0 ± 31.54 | |
| Physical role | 100.0 ± 0.0 | 22.50 ± 14.39 | 26.25 ± 27.03 | |
| Pain | 94.00 ± 8.94 | 46.50 ± 17.46 | 38.0 ± 18.40 | |
| General health | 77.50 ± 11.26 | 26.67 ± 12.0 | 57.5 ± 14.25 | |
| Social functioning | 95.00 ± 11.18 | 27.50 ± 24.04 | 22.50 ± 31.12 | |
| Emotional role | 93.27 ± 7.00 | 66.67 ± 36.80 | 61.67 ± 48.81 | 0.712 |
| Emotional wellbeing | 70.00 ± 12.75 | 63.00 ± 17.53 | 62.00 ± 24.39 | 0.853 |
| Vitality | 66.25 ± 19.06 | 10.0 ± 9.48 | 13.75 ± 6.85 | |
| Communication and understanding | 5.83 ± 9.13 | 48.33 ± 10.87 | 44.17 ± 21.97 | |
| Mobility | 2.00 ± 4.47 | 38.00 ± 21.09 | 35.00 ± 23.18 | |
| Self-care | 0.0 ± 0.0 | 12.50 ± 17.12 | 1.25 ± 2.79 | 0.265 |
| Interpersonal relationships | 3.75 ± 5.59 | 41.25 ± 15.05 | 16.25 ± 12.96 | |
| Life activities | 0.0 ± 0.0 | 52.65 ± 33.25 | 58.75 ± 32.65 | |
| Participation in society | 3.75 ± 5.59 | 57.51 ± 11.19 | 46.87 ± 26.43 | |
| White cell count (4.0–11.0 × 109/L) | 5.94 ± 0.72 | 5.16 ± 1.37 | 5.48 ± 1.22 | 0.522 |
| Lymphocytes (1.0–4.0 × 109/L) | 1.87 ± 0.34 | 1.48 ± 0.30 | 1.75 ± 0.49 | 0.247 |
| Neutrophils (2.0–8.0 × 109/L) | 3.42 ± 0.40 | 3.09 ± 1.08 | 3.20 ± 0.83 | 0.623 |
| Monocytes (0.1–1.0 × 109/L) | 0.47 ± 0.16 | 0.39 ± 0.15 | 0.38 ± 0.12 | 0.432 |
| Eosinophils (< 0.6 × 109/L) | 0.15 ± 0.87 | 0.15 ± 0.76 | 0.10 ± 0.36 | 0.606 |
| Basophils (< 0.2 × 109/L) | 0.04 ± 0.02 | 0.03 ± 0.01 | 0.04 ± 0.01 | 0.308 |
| Platelets (140–400 × 109/L) | 298.6 ± 25.83 | 239.60 ± 40.54 | 263.00 ± 50.40 | 0.093 |
| Red cell count (3.8–5.2 × 1012/L) | 4.48 ± 0.37 | 4.96 ± 0.47 | 4.67 ± 0.41 | 0.264 |
| Haematocrit (0.33–0.47) | 0.40 ± 0.02 | 0.44 ± 0.04 | 0.41 ± 0.03 | 0.102 |
| Haemoglobin (115–160 g/L) | 131.8 ± 10.89 | 146.4 ± 10.74 | 139.8 ± 12.32 | 0.171 |
Data presented as mean ± SD. Reference ranges for full blood count parameters have been included in the table. Values of p < 0.05 are bolded. HC healthy control, ME/CFS myalgic encephalomyelitis/chronic fatigue syndrome, SF-36 36-item short form health survey, WHO World Health Organization, DAS disability assessment schedule
Symptom characteristics
| ME/CFS | Post COVID-19 condition | ||
|---|---|---|---|
| Age of diagnosis (years [mean ± SD]) | 29.8 ± 12.48 | 50.60 ± 8.68 | |
| Disease duration (years [mean ± SD]) | 11.20 ± 3.56 | 0.56 ± 0.53 | |
| Infectious onset, N (%) | 3 (60.0%) | 5 (100.0%) | |
| Cognitive difficulties | Yes | 5 (100.0%) | 5 (100.0%) |
| No | 0 (0.0%) | 0 (0.0%) | |
| Pain | Yes | 5 (100.0%) | 4 (80.0%) |
| No | 0 (0.0%) | 1 (20.0%) | |
| Sleep disturbances | Yes | 5 (100.0%) | 5 (100.0%) |
| No | 0 (0.0%) | 0 (0.0%) | |
| Sensory disturbances | Yes | 4 (80.0%) | 5 (100.0%) |
| No | 1 (20.0%) | 0 (0.0%) | |
| Immune disturbances | Yes | 4 (80.0%) | 5 (100.0%) |
| No | 1 (20.0%) | 0 (0.0%) | |
| Gastrointestinal disturbances | Yes | 3 (60.0%) | 4 (80.0%) |
| No | 2 (40.0%) | 1 (20.0%) | |
| Cardiovascular disturbances | Yes | 5 (100.0%) | 3 (60.0%) |
| No | 0 (0.0%) | 2 (40.0%) | |
| Respiratory disturbances | Yes | 2 (40.0%) | 4 (80.0%) |
| No | 3 (60.0%) | 1 (20.0%) | |
| Thermostatic instability | Yes | 1 (20.0%) | 2 (40.0%) |
| No | 4 (80.0%) | 3 (60.0%) | |
| Urinary disturbances | Yes | 1 (20.0%) | 1 (20.0%) |
| No | 4 (80.0%) | 4 (80.0%) |
Data presented as mean ± SD and N (%). HC healthy control, ME/CFS myalgic encephalomyelitis/chronic fatigue syndrome, N number of participants
Fig. 1TRPM3 activity after PregS stimulation. Data were obtained under whole-cell patch-clamp conditions. Comparing all groups, amplitude of ionic current after PregS stimulation we found a significant difference (p = 0.0010). A A representative time-series of current amplitude at + 100 mV and − 100 mV showing the effect of 100 μΜ PregS on ionic currents in isolated NK cells from HC. B I–V before and after PregS stimulation in a cell corresponding with (A). C A representative time-series of current amplitude at + 100 mV and − 100 mV showing the effect of 100 μΜ PregS on ionic currents in isolated NK cells from ME/CFS patients. D. I–V before and after PregS stimulation in a cell as shown in (C). E A representative time-series of current amplitude at + 100 mV and − 100 mV showing the effect of 100 μΜ PregS on ionic currents in isolated NK cells from post COVID-19 condition patient. F I–V before and after PregS stimulation in a cell corresponding with (E). G Bar graphs representing TRPM3 current amplitude at + 100 mV after stimulation with 100 μΜ PregS in HC patients (N = 5; n = 34) compared with post COVID-19 condition patients (N = 5; n = 38) and ME/CFS patients (N = 5; n = 26). TRPM3 currents were determined as a change in amplitude from baseline to PregS induced peak as represented in time-series graphs. I–V curves were used to identify an outward rectification typical of TRPM3. N refers to number of participants and n to number of records analysed. Data are represented as mean ± SEM. HC healthy control, ME/CFS myalgic encephalomyelitis/chronic fatigue syndrome
Fig. 2TRPM3 activity after ononetin modulation. Data were obtained under whole-cell patch-clamp conditions. A A representative time-series of current amplitude at + 100 mV and − 100 mV showing the effect of 10 μΜ ononetin on ionic currents in the presence of PregS in isolated NK cells from HC. B I–V before and after application of ononetin in a cell as shown in (A). C Scatter plots representing change of each current amplitude before and after application of ononetin in presence of PregS in all NK cells from HC. D A representative time-series of current amplitude at + 100 mV and − 100 mV showing the effect of 10 μΜ ononetin on ionic currents in the presence of PregS in isolated NK cells ME/CFS patients. E I–V before and after application of ononetin in a cell as shown in (D). F Scatter plots representing change of each current amplitude before and after application of ononetin in presence of PregS in all NK cells from ME/CFS. G A representative time-series of current amplitude at + 100 mV and − 100 mV showing the effect of 10 μΜ ononetin on ionic currents in the presence of PregS in isolated NK cells from post COVID-19 condition. H I–V before and after application of ononetin in a cell as shown in (G). I Scatter plots representing change of each current amplitude before and after application of ononetin in presence of PregS in all NK cells from post COVID-19 condition. Each cell represented as red lines indicate cells sensitive to ononetin as a reduction in amplitude was recorded. HC (N = 5; n = 29), post COVID-19 condition (N = 5; n = 27), and ME/CFS (N = 5; n = 23). N to number of participants and n to number of records analysed. HC healthy controls, ME/CFS myalgic encephalomyelitis/chronic fatigue syndrome
Fig. 3Summary TRPM3 activity after ononetin modulation. Data were obtained under whole-cell patch-clamp conditions. Table summarizing data for sensitive and insensitive cells to 10 μΜ ononetin, (A) absolute number and (B) percentage. C Bar graphs representing sensitive and insensitive cells to 10 μΜ ononetin, HC patients (N = 5; n = 29) compared with post COVID-19 condition patients (N = 5; n = 27) and ME/CFS patients (N = 5; n = 23). Data are analysed using Fisher’s exact test. N refers to number of participants and n to number of records analysed. HC healthy controls, ME/CFS myalgic encephalomyelitis/chronic fatigue syndrome