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©The Author(s) 2022.
World J Gastroenterol. Jul 7, 2022; 28(25): 2802-2822
Published online Jul 7, 2022. doi: 10.3748/wjg.v28.i25.2802
Published online Jul 7, 2022. doi: 10.3748/wjg.v28.i25.2802
SI. No. | Total number of human subjects involved in study | Demographics of the study populations | Vomiting | Diarrhea | Nausea | Remarks/study summary | Ref. |
1 | 191 | Adults (46-67 years) hospitalised, Chinese peoples, 91 patients having comorbidity | 7 (3.7%) | 9 (4.7%) | 7 (3.7%) | Identification of several risk factors and a detailed clinical course of illness for mortality of COVID-19 patients | [121] |
2 | 171 | Minor aged (1 d-15 years, hospitalised, Chinese children, no such comorbidity | 11 (6.4%) | 15 (8.8%) | NA | Report of a spectrum of illness from children infected with SARS-CoV-2 virus | [122] |
3 | 1099 | Median age group (35-58 years), hospitalised, Chinese patients without any comorbidity | 55 (5.0%) | 42 (3.8%) | 55 (5.0%) | Identification and definition of clinical characteristics and disease severity of hospitalized COVID-19 patients | [37] |
4 | 140 | Adults (25-87 year), hospitalised Chinese patients with high comorbidity | 7 (5.0%) | 18 (12.9%) | 24 (17.3%) | Report on hospitalized patients having COVID-19 with abnormal clinical manifestations (fever, fatigue, gastrointestinal symptoms, allergy) | [123] |
5 | 73 | Adults hospitalised Chinese patients, comorbidity reported | NA | 26 (35.6%) | NA | Clinical significance of SARS-CoV-2 by examining viral RNA in feces of COVID-19 patients during hospitalizations | [124] |
6 | 52 | Adults (mean age 59.7 year), critically ill ICU- admitted Chinese patients, comorbidity reported | 2 (3.8%) | NA | NA | Retrospective, single-centered, observational study on critically ill, ICU-admitted adult COVID-19 patients | [125] |
7 | 138 | Adult (median age 56 years), hospitalised Chinese patients with comorbidities | 5 (3.6%) | 14 (10.1%) | 14 (10.1%) | Clinical characteristics of COVID-19 patients in hospitalized conditions | [126] |
8 | 41 | Middle age group (41-58 years) hospitalised Chinese patients with comorbidities | NA | 1 (2.6%) | NA | Epidemiological, laboratory, clinical, and radiological features and treatment with clinical outcomes of hospitalized COVID-19 patients | [46] |
9 | 62 | Studied patients (median age 41 years) were hospitalised, Chinese ethnicity and comorbidity reported | NA | 3 (4.8%) | NA | Most common symptoms at onset of illness with clinical data in confirmed COVID-19 patients | [127] |
10 | 137 | Studied patients ( mean age 57-55) ware Chinese and hospitalised, comorbidity was also noted | NA | 11 (8%) | NA | Investigation of epidemiological history, clinical characteristics, treatment, and prognosis of COVID-19 patients | [128] |
11 | 81 | Chinese patients (mean age was 49.5 years), hospitalised with high comorbidities | 4 (4.9%) | 3 (3.7%) | NA | Report of confirmed COVID-19 patients with chest computer tomography imaging anomalies | [129] |
12 | 99 | Hospitalised, Chinese patients (average age of the patients was 55.5 years), comorbidity was reported | 1 (1%) | 2 (2.0%) | 1 (1%) | Inclusive exploration of epidemiology and clinical features of COVID-19 patients | [130] |
SI. No. | Total number of human subjects in study | Demographics of the study populations | Gastrointestinal symptoms | Confirmed cases of fecal shedding | Remarks/study summary | Ref. |
1 | 205 | Patients (mean age of 44 years) were hospitalised, Chinese without any comorbidities | No symptoms | 44 | Evidence-based study for gastrointestinal infection of SARS-CoV-2 virus and its possible fecal-oral transmission route in humans | [131] |
2 | 73 | Different age group (10 mo to 78 years old), hospitalised Chinese patients without report any comorbidities | Gastrointestinal bleeding, diarrhea | 39 | Description of epidemiological and clinical characteristics of COVID-19 patients | [124] |
3 | 10 | Chinese patients have aged 19-40 years, hospitalised and no such comorbidity was reported | Hemoptysis, diarrhea, cough | 8 | Report of median aged COVID-19 confirmed patients in ICU | [127] |
4 | 14 | Patients (18-87 years) were hospitalized, Chinese individuals without any comorbidities | No symptoms | 5 | Retrospective analysis of laboratory-confirmed COVID-19 cases in hospitalized conditions | [132] |
5 | 66 | Chinese patients (median age of 44 years) were hospitalised, comorbidity was not reported | No symptoms | 11 | Viral RNA detection was performed from throat swabs, stool, urine, and serum samples in different clinical conditions in COVID-19 patients | [133] |
6 | 18 | Adults patients (median age, 47 years) from Singapore were hospitalised and comorbidities was noted | No symptoms | 4 | COVID-19 patient case series using clinical, laboratory, and radiological data | [134] |
7 | 74 | Studied paients belonged from China and were hospitalised with comorbidities | No symptoms | 41 | Analysis of respiratory and fecal samples to determine clinical symptoms and medical treatments of COVID-19 patients | [135] |
8 | 9 | Adults Chinese patients were hospitalised without any comorbidities | Diarrhea and urinary irritation | 2 | Detection of SARS-CoV-2 RNA in urine and blood samples, and anal, oropharyngeal swabs of confirmed COVID-19 patients | [136] |
SI. No. | Cohort composition | No of Patients | Demographics of the study populations | Country | Significant gut microbiota found | Study conclusion | Reference |
1 | A pilot study with 15 healthy individuals (controls) and 15 patients with COVID-19 | 15 | Study performed with hospitalised patients (median age 55 years), Chinese ethnicity and comorbidities were reported | Hong Kong | Abundance of Clostridium hathewayi, Clostridium ramosum, Coprobacillus, which are correlated with COVID-19 severity | Change in the fecal microbiome of COVID-19 patients during hospitalization, compared to healthy individuals (controls) | [48] |
2 | The two-hospitals cohort, serial stool samples collected from 27 COVID-19 patients among 100 | 27 | Adults hospitalised Chinese patients, comorbidities were noted | Hong Kong | Faecalibacterium prausnitzii, Eubacteriumrectale and bifidobacteria | Gut microbiome involved in COVID-19 severity | [38] |
3 | United States cohort (majority African American) | 50 | Studied patients (mean age 62.3 years) were hospitalised with comorbidities, American ethnicity | United States | Some of the significant genera (Corynebacterium Peptoniphilus, Campylobacter, etc.) | No significant associations found between the composition microbiome and disease severity from COVID-19 patient gut microbiota | [50] |
4 | The study used 53 COVID-19 patients and 76 healthy individuals. 81 fecal samples collected during hospitalization | 53 | Adults Chinase hospitalised patients, no such comorbidities were noted | China | Elevated gut microbes such as Rothia mucilaginosa, Granulicatella spp, etc. | COVID-19 infection linked with change of the microbiome in COVID-19 patients | [137] |
5 | 15 patients Cohort | 15 | Study performed adults hospitalised patients with comorbidities, Chinese ethnicity | Hong Kong | Elevated bacterial species Collinsella tanakaei, Collinsella aerofaciens, Morganella morganii, Streptococcus infantis | The study found fecal viral (SARS-CoV-2) activity | [54] |
6 | Two-hospital cohort with a total of 100 patients. Stool samples collected from 27 patients | 27 | Hospitalised adults patients were from China, comorbidities were noted | Hong Kong | Several gut microbiota such as Faecalibacterium prausnitzii, Eubacterium rectale, and bifidobacteria | Gut microbiota associated disease severity and inflammation in COVID-19 patients | [38] |
7 | 98 COVID-19 patients (3 asymptomatic, 34 moderate, 53 mild, 3 critical, 5 severe), serial fecal samples collected from 37 COVID-19 patients | 37 | Adults (mean age 37 years) patients, hospitalised condition from Chinese ethnicity, comorbidities were reported | Hong Kong | A total of 10 virus species in fecal matter (9 DNA virus species and 1 RNA virus, pepper chlorotic spot virus) | Analysis of gut virome (RNA and DNA virome) in COVID-19 patients | [47] |
8 | Study of fecal samples from 30 COVID-19 patients | 30 | Patients (mean age 46 years) were hospitalised from Chinese groups, comorbidities were noted | Hong Kong | Increased proportions of fungal pathogens (Candida albicans, Candida auris, Aspergillus flavus, Aspergillus niger) in fecal samples | Analysis of fecal fungal microbiome of COVID-19 patients | [48] |
SI. No. | Objective of clinical trials | Clinical trials No. | Description of clinical trials | Remarks |
1 | Evaluate the combination of probiotics (P. acidilactici and L. plantarum) to reduce the viral load of moderate or severe COVID-19 patients | NCT04517422 | It was a randomized controlled trial, 300 participants, treatment by dietary supplement (probiotics) | Observational study of adult and older adult, trial completed |
2 | To explore the natural history of mild-to-moderate COVID-19 illness and safety of a novel glycan (KB109) and self-supportive care | NCT04414124 | It was a randomized, prospective, open-label, parallel-group controlled clinical study of 350 participants | Observational study of adults (both male and female), trial completed |
3 | Investigate the physiologic effects of the novel glycan (KB109) on patients with COVID-19 illness on gut microbiota structure and function in the outpatient | NCT04486482 | It was a randomized, open-label clinical study of 49 participants | Observational study of adults patients with mild-to-moderate COVID-19 infections, trial completed |
4 | Evaluate the clinical contribution of the gut microbiota and its diversity on the COVID-19 disease severity and the viral load | NCT05107245 | It was case-control, diagnostic study of 143 participants | Observational study on the diagnostic evaluation of the human intestinal microbiota, trial completed |
5 | Studied the effects of Lactobacillus coryniformis K8 intake on the prevalence and severity of COVID-19 in health professional | NCT04366180 | A randomized, interventional study of 314 participants | Investigation of probiotic effects to healthcare personnel exposed to COVID-19 infection |
6 | Investigate to exploring the role of nutritional support by probiotics to COVID-19 outpatients (adult) | NCT04907877 | Randomized, evidence based study of 300 participants | Used of probiotics as dietary supplement that enhance specific immune response of patients having COVID-19 respiratory infection |
7 | Use of dietary supplement (Omni-Biotic® 10 AAD) can decrease the intestinal inflammation and improves dysbiosis for COVID-19 patients | NCT04420676 | It was a randomized Interventional study of 30 participants | This study performed as double blind, placebo-controlled study |
8 | Evaluate the probiotics efficacy to decrease the COVID-19 infection symptoms and duration of COVID-19 positive patients | NCT04621071 | The double-blind, randomized, controlled trial of 17 participants | This study performed to explored the effects of dietary supplement: Probiotics (2 strains 10 × 109 UFC), trial completed |
9 | Impact analysis of probiotic strain L. reuteri DSM 17938 for specific Abs response against SARS-CoV-2 infection | NCT04734886 | It was control, randomized trial of 161 participants | To assess the upon and after COVID-19 infection in healthy adults, trial completed |
10 | To evaluate the primary efficacy of live microbials (probiotics) for boosting up the immunity of SARS-CoV-2 infected persons (unvaccinated) | NCT04847349 | It was double-blind, randomized, controlled trial of 54 participants | Efficacy analysis of dietary supplement (combination of live microbials) as anti COVID-19 infection, trial completed |
11 | Evaluate the follow -up of Symprove (probiotic) to COVID-19 positive patients | NCT04877704 | The randomized clinical trial was performed with 60 patients | Observational study to supervision of hospitalized COVID-19 patients |
12 | Study was performed to evaluate the possible effect of a probiotic mixtures in the improvement of COVID-19 infection symptoms | NCT04390477 | It was randomized case control, clinical trial of 41 participants | Observational study of dietary supplement: Probiotic to COVID-19 patients |
13 | The probiotic ( Omni-Biotic Pro Vi 5) use for investigate the side effect of post-COVID syndrome | NCT04813718 | It was a randomized trial of 20 participants | It was a therapeutic target study of probiotic for treatment of acute COVID-19 and prevention of post COVID infections |
14 | To evaluate the effect of a probiotic strain on the occurrence and severity of COVID-19 in hospitalised elderly population | NCT04756466 | Randomized control trial of 201 participants | It was observational study, probiotic sued for improve the immune response of elderly patients |
15 | This study assesses the beneficial effects of the nutritional supplementation (ABBC1) to individuals taken the COVID-10 vaccine | NCT04798677 | It was a double-blinded, placebo-controlled, randomized clinical study of 90 participants | Used as knowing the microbiome modulating properties, observational study |
16 | To investigate the consequence of Ligilactobacillus salivarius MP101 to hospitalised elderly individuals | NCT04922918 | Non-randomised study of 25 participants | Observational study of aged patients having highly affected by COVID-19 |
17 | Study was performed to explored the effect of the probiotic Lactobacillus rhamnosus GG | NCT04399252 | It was a randomized double-blind, placebo-controlled trail of 182 participants | Observational study of individuals microbiome of household contacts exposed to COVID-19 |
18 | Treatment approaches by probiotics to human gut microbiome and growing the anti-inflammatory response for COVID-19 infected patients | NCT04854941 | It was a randomized controlled open-label study of 200 participants | The optimizing treatment approaches based observational study, trial completed |
19 | To evaluate the capability of the novel nutritional supplement (probiotics and other vitamins) to COVID-19 infected and hospitalised patients | NCT04666116 | Randomized, single blind clinical trial of 96 participants | Used of dietary supplementation with probiotics aims to reduce the viral load |
20 | Using of probiotics for COVID 19 transmission reduction to health care professionals | NCT04462627 | It was a non-randomized trial of 500 participants | Analysis and reduction of COVID-19 viral load to health care professionals |
- Citation: Chakraborty C, Sharma AR, Bhattacharya M, Dhama K, Lee SS. Altered gut microbiota patterns in COVID-19: Markers for inflammation and disease severity. World J Gastroenterol 2022; 28(25): 2802-2822
- URL: https://www.wjgnet.com/1007-9327/full/v28/i25/2802.htm
- DOI: https://dx.doi.org/10.3748/wjg.v28.i25.2802