Clinical Case Summary

A 75-year-old male under follow-up for chronic anemia secondary to multiple gastrointestinal angiodysplasias. He required transfusions every two weeks and maintained a baseline hemoglobin level of around 7–8 g/dL despite repeated therapeutic endoscopy with argon plasma coagulation. In light of this, he began daily treatment with oral Thalidomide 50 mg, with a good response for three years. At that point, he developed persistent melena and also experienced a deep vein thrombosis attributed to the treatment, leading to its discontinuation. The regimen was then changed to subcutaneous Octreotide 10 mg monthly, later intensified to 30 mg per month. Despite this, he continued to have recurrent gastrointestinal bleeding and multiple hospital admissions due to anemia-related symptoms. With no other treatment options available, a weekly dose of 30 mg was prescribed, achieving a good response for two years. Eventually, due to loss of efficacy and refractoriness to other treatments, compassionate use of Bevacizumab was initiated at a dose of 7.5 mg/kg monthly. From the beginning and after three doses, the patient became asymptomatic and experienced no further bleeding episodes, maintaining hemoglobin levels around 12–13 g/dL.
Gastrointestinal angiodysplasias are a common and significant condition due to the increased demand they place on healthcare services. Their management is complex, and treatment options are limited, particularly in cases that are refractory to standardized therapies. In such patients, the use of Bevacizumab can be considered. Although evidence is limited, it shows promising results, as demonstrated in our case.

References

Figure 1. Enteroscopy image showing angiodysplasia in the small intestine
Figure 2. Therapeutic enteroscopy, image prior to argon plasma coagulation therapy
Figure 3. Capsule endoscopy image showing angiodysplasia in the small intestine
Figure 4. Another capsule endoscopy image showing active bleeding secondary to one of the angiodysplasias

Introduction

Gastric emptying is controlled by phasic gastric contractions which occur at a frequency of ~3 cycles per minute (cpm) in phase with gastric slow waves. Tests to measure slow waves cannot directly detect abnormal contractions. The Atmo Capsule possesses an accelerometer that measures changes in capsule orientation and can thus detect gastric contractions. We analyzed accelerometer data to define its capability to characterize gastric contraction frequency and amplitude in patients with suspected dysmotility, and to assess if frequency or amplitude vary in relation to transit delay.

Aims & Methods

Gut transit was measured by the Atmo Capsule in 209 subjects: 48 with predominant upper GI (UGI) symptoms alone (suspected gastroparesis), 21 with lower GI (LGI) symptoms (suspected slow colon transit) alone, and 140 with combined UGI+LGI symptoms. This analysis utilized data from subjects recording valid gastric emptying time (GET) measures and did not incur protocol deviations affecting gastric transit. Delays in GET were categorized as: normal, <5 h; delayed, 5-10 h; severely delayed, ≥10 h. Fast Fourier Transformation (FFT) of the accelerometer data allows for the identification and analysis of the dominant gastric frequency and amplitude using 10-minute windows and a cutoff frequency of 4.5 cpm. Variability of frequency and amplitude measures were estimated by calculating interquartile range (IQR) and range (max-min) values and were analyzed in relation to presenting symptoms and gastric emptying delays.

Results

Gastric data from 190 subjects were suitable for analysis: gastric contractions with dominant frequencies of 3.30 cpm (IQR 0.47, range 1.47) and amplitudes of 0.10 arbitrary units (au) (IQR 0.04, range 0.14) were detected in 185 (97%) of subjects. Mean contraction frequency tended to be higher in those with delayed GET compared with no delay (p=0.016) and severe delay (p=0.005) (Table 1). Frequency IQR (p=0.002) and range (p=0.002) were higher for GET delay vs. no delay, while range was higher in severe GET delay vs no delay (p<0.001). Mean amplitude was higher in subjects with severe GET delay compared with normal delay (p=0.008) and normal transit (p=0.001). Amplitude IQR and range were both higher in those with severe GET delay compared with normal delay (p=0.002; p=0.001) and no delay (p<0.001 for both). Frequency metrics were similar irrespective of predominant symptoms. Amplitude means (p=0.022), IQR (p=0.030) and range (p=0.0004) were higher for UGI vs. LGI symptoms.

Table 1. Dominant gastric frequencies and amplitudes in relation to gastric emptying delays. Data shown as median (interquartile range) and analyzed via Kruskal-Wallis test.

Conclusion

The Atmo Capsule accelerometer reliably characterizes 3 cpm gastric contraction frequency and amplitude in subjects with proposed delays in gut transit. Increased variabilities in contraction frequency and amplitude were defined in those with severely delayed gastric emptying and increased amplitude variability was found for predominant upper GI symptoms. We propose these higher variations identified by accelerometry may reflect hypomotility or contractile dropout, suggesting additional clinical utility of the Atmo Capsule in suspected gastroparesis.

Disclosure

These authors disclose the following: Braden Kuo, Anthony J. Lembo, Eammon M.M. Quigley, Satish S.C. Rao, and William D. Chey serve on the Medical Advisory Board of Atmo Biosciences. Michael Cline and Baharak Moshiree served on the Medical Advisory Board of Atmo Biosciences. Braden Kuo has received funding from NIH, Vanda, Atmo Biosciences, and Takeda and has consulted for Evoke, Takeda, Ironwood, Novo Nordisk, Cindome, and Neurogastrx. Thomas Abell has received funding from Gastric Dysrhythmias, Neurogastrx, NIH GpCRC, and Vanda and has consulted for Enterra Medical, Novo Nordisk, Nuvaira, and Vanda. Anthony J. Lembo has received funding from Ardelyx, Biomerica, GSK, Ironwood, Takeda, and Vibrant and holds stock with Allurion, Bristol Myer Squibb, and J&J. Abigail Stocker has received funding from Cindome, Enterra Medical, and Vanda. William D. Chey has received funding from Atmo Biosciences, Commonwealth Diagnostics Intl, QOL Medical, and Salix; has consulted for AbbVie, Ardelyx, Biomerica, Comvita, Gemelli, Ironwood, Nestle, QOL Medical, Phathom, Redhill, Salix, Vibrant, and Takeda; has filed patents with My Nutrition Health, Digital Manometry, and Rectal Expulsion Device; and holds stock options with Coprata, Evinature, Food Marble, Kiwi Bioscience, and Modify Health. The remaining authors disclose no conflicts.

Introduction

Chronic liver disease—including alcoholic liver disease (ALD), metabolic dysfunction-associated steatotic liver disease (MASLD), and liver fibrosis/cirrhosis (LFC)—has emerged as a major global health challenge, accounting for over 2 million deaths annually^1-2. Often progressing silently, chronic liver disease is frequently diagnosed at advanced stages, underscoring the urgent need for early identification of at-risk populations through reliable markers³. While recognized risk factors such as insulin resistance, alcohol overuse, and aging contribute to disease development, recent attention has focused on biological ageing acceleration (BioAgeAccel) as a comprehensive, integrative metric reflecting physiological decline, yet the utility in large populations remains underexplored^4-6. In parallel, genetic susceptibility and phenotypic data hold promise for identifying individuals predisposed to chronic liver disease⁷.

Aims & Methods

We conducted research to explore the association between BioAgeAccel, the risk of chronic liver diseases, incorporating genetic susceptibility.

This study included participants from the UK Biobank (UKB) and the All of Us (AoU) two cohort databases. BioAgeAccel was defined as the deviation between an individual’s phenotypic age (PhenoAge) or Klemera-Doubal age (KDMAge) and chronological age. Cox proportional hazards models analyzed the associations between BioAgeAccel and the risk of MASLD, ALD, and LFC, with hazard ratios (HRs) and 95% confidence intervals (CIs), and combined polygenic risk scores (PRS) to quantify genetic predisposition to chronic liver diseases.

Results

In the UKB cohort, accelerated PhenoAge was associated with significantly higher risks of ALD (HR 2.29; 95% CI 2.03-2.58), MAFLD (1.10; 1.04-1.16), and LFC (2.22; 2.01-2.46). Similarly, in the AoU cohort, accelerated PhenoAge was associated with higher risks of ALD (1.97; 1.00-3.88), MAFLD (1.35; 1.15-1.58), and LFC (2.19; 1.48-3.22). Comparable trends were observed for KDMAgeAccel in the UKB. Greater BioAgeAccel was associated with progressively higher risks of ALD and LFC, with these trends consistently. In the UKB, accelerated biological ageing was associated with chronic liver diseases independently of genetic risk and remained significant across PRS levels. Furthermore, compared to individuals with biologically younger ages and low genetic risk, participants with high genetic risk and accelerated PhenoAgeAccel exhibited the highest risk of developing chronic liver diseases, and LDSC revealed a positive genetic correlation between ageing and ALD, with SMR identifying three shared genes.

Table 1: Association between biological ageing acceleration (PhenoAgeAccel) and incident of chronic liver diseases in two datasets

Conclusion

Accelerated biological ageing was associated with increased risk of chronic liver diseases, independently of genetic risk. Identifying individuals with higher BioAgeAccel is crucial for predicting the risk of chronic liver diseases, and indicators related to the calculation of BioAgeAccel can serve as potential targets for interventions.

References

1. GBD 2019 Diseases and Injuries Collaborators. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204-1222. doi:10.1016/S0140-6736(20)30925-9
2. Devarbhavi H, Asrani SK, Arab JP, Nartey YA, Pose E, Kamath PS. Global burden of liver disease: 2023 update. J Hepatol. 2023;79(2):516-537. doi:10.1016/j.jhep.2023.03.017
3. Wang Y, Huang Y, Chase RC, et al. Global Burden of Digestive Diseases: A Systematic Analysis of the Global Burden of Diseases Study, 1990 to 2019. Gastroenterology. 2023;165(3):773-783.e15. doi:10.1053/j.gastro.2023.05.050
4. Lee YB, Ha Y, Chon YE, et al. Association between hepatic steatosis and the development of hepatocellular carcinoma in patients with chronic hepatitis B. Clin Mol Hepatol. 2019;25(1):52-64. doi:10.3350/cmh.2018.0040
5. Klemera P, Doubal S. A new approach to the concept and computation of biological age. Mech Ageing Dev. 2006;127(3):240-248. doi:10.1016/j.mad.2005.10.004
6. Cohen AA, Milot E, Yong J, et al. A novel statistical approach shows evidence for multi-system physiological dysregulation during aging. Mech Ageing Dev. 2013;134(3-4):110-117. doi:10.1016/j.mad.2013.01.004
7. Martin K, Hatab A, Athwal VS, Jokl E, Piper Hanley K. Genetic Contribution to Non-alcoholic Fatty Liver Disease and Prognostic Implications. Curr Diab Rep. 2021;21(3):8. doi:10.1007/s11892-021-01377-5

Disclosure

The authors have declared no conflict of interest.

Introduction

A large proportion of Inflammatory Bowel Disease (IBD) patients also develop liver diseases, predominantly primary sclerosing cholangitis (PSC), and more than 80% of PSC patients also have IBD. Coexistence of both diseases in patients, increase of five times the risk of developing a colorectal cancer, and causes liver transplantation failure. Both of IBD and PSC have no curative treatment yet, and the impact of IBD on liver homeostasis and reciprocally the impact of PSC on intestinal barrier (IB) remain largely unknown.

Aims & Methods

The aims of the study were to investigate the impact of (1) mouse models of IBD on liver homeostasis and (2) the impact of mouse models of PSC on IB integrity. Two models of colitis have been used. A model was conducted by adding 3% DSS in drinking water for five days, followed by two days of regular water. The second model of colitis was performed using a pre-sensitizing step involving subcutaneous injection of 2% oxazolone and five day later, a rectal injection of 1.5% oxazolone. As PSC mouse models, we used intra-peritoneal injection of 1µL/g mice weight of CCl₄ twice a week for 8 weeks and another model with a 0.1% diethyl 1,4-dihydro-2,4,6-trimethyl-3,5-pyridinedicarboxylate within diet for 3 weeks. Colitis and cholangitis severities were monitored by food consumption, macroscopic observations as well as calculation of Disease Activity Index which sum up scores of weight loss, bleeding and stool consistency. Fecal samples were tested for calprotectin and lipocalin by ELISA to estimate gut inflammation. Intestinal permeability (IP) was investigated in vivo by estimation of FITC-Dextran quantity in mice’s sera after oral administration and at mice sacrifice in ileum and colon tissues by measuring the flux of fluorescein sodium salt in Ussing chamber. To study liver homeostasis, we performed pathological analysis (H&E and Sirius red staining), and real-time PCR with a focus on fibrosis markers, bile acids metabolism and metabolic pathways.

Results

IBD models induced strong alteration of colonic homeostasis including increased fecal markers of inflammation (Calprotectin and Lipocalin-2) and tissues mRNA expression of inflammatory cytokines (Ifng…). These models of colitis were also accompanied by elevated IP and impaired liver genes expression level of fibrosis (Col3a1) and fatty acids metabolism (Fasn…), as well as cholesterol and bile acids transporters (Abcb11…). This was found to be correlated with impaired enterohepatic circulation of bile acids in the gut. Furthermore, an increase expression of mRNA markers of inflammation (Cxcl1…) was only observed in the liver of the DSS colitis model. However, no alteration of liver homeostasis, including infiltrated immune cells or fibrosis was revealed by histological analysis. PSC mouse models induced strong alterations of liver homeostasis and were associated with altered gut homeostasis shown by a strong increased IP.

Conclusion

Our data demonstrate that IBD colitis models impair liver homeostasis, while PSC models disrupt intestinal integrity. The data obtained from both IBD and PSC models demonstrated a significant increase in intestinal permeability, thereby underscoring it’s potential as an association between those diseases. Further investigations are ongoing in ours models as a next step will be to study a combination of both protocols to explore disease progression and severity.

References

Rabiee, Anahita, and Marina G Silveira. “Primary sclerosing cholangitis.” Translational gastroenterology and hepatology vol. 6 29. 5 Apr. 2021, doi:10.21037/tgh-20-266
Kim, You Sun et al. “Primary sclerosing cholangitis (PSC) and inflammatory bowel disease (IBD): a condition exemplifying the crosstalk of the gut-liver axis.” Experimental & molecular medicine vol. 55,7 (2023): 1380-1387. doi:10.1038/s12276-023-01042-9

Introduction

Phase Angle (PA) represents a useful bioimpedance analysis-assessable marker of sarcopenia, accurately predicting liver-related hospitalizations in advanced chronic liver disease (ACLD), correlating with C-reactive protein levels. Clinically significant portal hypertension (CSPH) and systemic inflammation constitute the main hepatic decompensation drivers. A relevant proportion of Metabolic dysfunction-associated steatotic liver disease (MASLD) patients present sarcopenia (configuring the paradox of “sarcopenic obesity”), as well as compensated ACLD (cACLD)-MASLD individuals more rapidly progress to decompensation (dACLD) rather than other etiologies. However, the clinical applications of PA have never been specifically investigated in the setting of MASLD.

Aims & Methods

Considering the background, in MASLD, we primarily aimed to evaluate the trend of PA values across the different liver disease progression stages, investigating the relationship with the hepatic decompensation drivers; in dACLD-MASLD, we aimed to estimate the accuracy of the novel PA/C-reactive protein (CRP) index (PAC-I) in predicting 3-month further liver-related events (LREs)-determining hospitalizations.
In this observational study, between December 2023 and January 2025, MASLD patients were consecutively enrolled and stratified according to current LSM and eventual previous LREs in < F3 fibrosis (AF) (n.50), cACLD (n.50), and dACLD (n.50) patients. At baseline, anthropometrical, biochemical, nutritional, and clinical data [including the endoscopic assessment of CSPH and the relative severity (F1, F2, F3) of esophageal varices (OEVs)] were collected. Bioimpedance analysis was adopted to assess body composition parameters. Sarcopenia was diagnosed according to the European Working Group on Sarcopenia (EGWSOP2) criteria. MASLD-dACLD patients were followed up, and further acute decompensation (AD)-LREs-determining hospitalizations [severe ascites, severe hepatic encephalopathy (HE), OEV bleeding, and any acute bacterial infections] in the subsequent 3 months were recorded.

Results

In MASLD patients, PA (°) values inversely correlated with LSM [R: -0.711; p<0.0001], progressively decreasing according to the worsening of liver disease stages, emerging as statistically significantly lower in dACLD compared with cACLD individuals (p<0.0001). In dACLD patients, PA inversely correlated with CRP levels [R: -0.945; p:0.001]. Focusing on CSPH, PA values were significantly lower in > F2-OEV-affected individuals (p<0.0001). Multivariate analysis revealed CSPH (aHR 1.221, p<0.0001), CRP (aHR: 1.112, p:0.002), and PA (aHR: 1.178, p:0.003) as the variables significantly associated with 3-month further LREs’ occurrence in dACLD patients.
ROCy analysis revealed an elevated accuracy and superiority compared to PA alone (AUC PA:0.717; AUC PAC-I: 0.893; p:0.003) of PAC-I in predicting 3-month further LREs’ occurrence, identifying PAC-I < 2.35 as the best cut-off. Consistently, dACLD patients showing baseline PAC-I < 2.35 presented a higher risk [HR: 2.287, p: 0.032] of further LREs.

Conclusion

In MASLD, PA correlates with the main driver of progression, and the PAC-I represents a useful noninvasive tool in predicting short-term liver-related hospitalizations in dACLD patients.

References

1. Espirito Santo Silva DD, Waitzberg DL, Passos de Jesus R, Oliveira LPM, Torrinhas RS, Belarmino G. Phase angle as a marker for sarcopenia in cirrhosis. Clin Nutr ESPEN. 2019 Aug;32:56-60. doi: 10.1016/j.clnesp.2019.05.003. Epub 2019 May 31. PMID: 31221291.
2. Saueressig C, Glasenapp JH, Luft VC, Alves FD, Ferreira PK, Hammes TO, Dall'Alba V. Phase Angle Is an Independent Predictor of 6-Month Mortality in Patients With Decompensated Cirrhosis: A Prospective Cohort Study. Nutr Clin Pract. 2020 Dec;35(6):1061-1069. doi: 10.1002/ncp.10584. Epub 2020 Oct 15. PMID: 33058222.

Clinical Case Summary

Introduction: Aortoesophageal fistula (AEF) is a rare but fatal cause of upper gastrointestinal bleeding. The disease progression is often rapidly if not promptly recognized.
The most common etiologies include thoracic aortic aneurysm (TAA) and prior aortic surgery. Early diagnosis remain challenge due to nonspecific symptoms. This case series highlights endoscopic features of AEF and the critical role of endoscopists in early detection.
Case present: We report three elderly patients (aged 76–82) who presented to the emergency department with massive hematemesis. One had a history of type B aortic dissection post thoracic endovascular aortic repair (TEVAR) ; the others had no known thoracic disease. None reported mid-thoracic pain. Laboratory data showed hemoglobin 5.1 to 6.2 g/dL without coagulopathy. Esophagogastroscopy (EGD) was performed within 1 hour in two patients, and at 9 hours in the third. EGD showed consistent findings in three cases: a subepithelial bulging mass with central blood clot adherent to the left quadrant (6–9 o’clock) of the mid-esophagus. CT confirmed AEF secondary to ruptured TAA in two patients. Unfortunately, one patient collapsed suddenly in the ED; the others underwent emergent surgery but died within 1 and 21 days postoperatively.(esophagectomy +/- TEVAR).
Discussion: Chiari’s triad (mid-thoracic pain, sentinel bleeding, fatal hematemesis) is classically associated with AEF but was absent in half patients. In our report, EGD can be a most timely and specific modality to early diagnosis of AEF, especially in patients without clear prior aortic disease. The typical endoscopic feature : bulging submucosal mass with central blood adherent clot may serve as a diagnostic clue. And the “hot-zone” of the AEF in EGD was located at left quadrant (six to nine o’clock) of mid esophagus .
Conclusion: Early recognition of typical characteristic and “hot zone” of AEF on EGD may improve timely diagnosis of AEF and guide life-saving interventions.

References

1. Bergqvist D. Arterioenteric fistula. Review of a vascular emergency. Acta Chir Scand 1987;153:81–6.
2. Hollander JE, Quick G. Aortoesophageal fistula: a comprehensive review of the liter- ature. Am J Med 1991;91:279–87.
3. Mortensen A, Hansen NF, Schiodt OM. Fatal aortoesophageal fistula caused by but- ton battery ingestion in a 1-year-old child. Am J Emerg Med 2010;28(984):e5-6.
4. Takeno S, Ishii H, Nanashima A, Nakamura K. Aortoesophageal fistula: review of trends in the last decade. Surg Today. 2020 Dec;50(12):1551-1559.