JAK Inhibitors in Cutaneous T-Cell Lymphoma: Friend or Foe? A Systematic Review of the Published Literature.

Cutaneous T-cell lymphomas (CTCLs) are a group of lymphoid neoplasms with high relapse rates and no curative treatment other than allogeneic stem cell transplantation (allo-SCT). CTCL is significantly influenced by disruption of JAK/STAT signaling. Therefore, Janus kinase (JAK) inhibitors may be promising for CTCL treatment. This study is a systematic review aiming to investigate the role of JAK inhibitors in the treatment of CTCL, including their efficacy and safety. Out of 438 initially searched articles, we present 13 eligible ones. The overall response rate (ORR) in the treatment with JAK inhibitors in clinical trials was 11-35%, although different subtypes of CTCL showed different ORRs. Mycosis fungoides showed an ORR of 14-45%, while subcutaneous-panniculitis-like T-cell lymphoma (SPTCL) displayed an ORR ranging from 75% to 100%. Five cases were reported having a relapse/incident of CTCL after using JAK inhibitors; of these, three cases were de novo CTCLs in patients under treatment with a JAK inhibitor due to refractory arthritis, and two cases were relapsed disease after graft-versus-host disease treatment following allo-SCT. In conclusion, using JAK inhibitors for CTCL treatment seems promising with acceptable side effects, especially in patients with SPTCL. Some biomarkers, like pS6, showed an association with better responses. Caution should be taken when treating patients with an underlying autoimmune disease and prior immunosuppression.

Tumor necrosis factor inhibitors and janus kinase inhibitors in the treatment of cicatricial alopecia: A systematic review.

BACKGROUND: Cicatricial alopecia (CA) refers to various conditions that result in permanent hair loss. Treatment of CA has always been challenging. Regarding immune-mediated pathophysiology for many CA subtypes, the administration of Janus kinase (JAK) and tumor necrosis factor (TNF) inhibitors have potentiated the treatments of CA. METHODS: After a thorough systematic search in PubMed/Medline, Embase, Web of Science, Scopus, Google Scholar, ClinicalTrials.gov, and WHO ICTRP, a total of 3,532 relevant records were retrieved and screened. Accordingly, 56 studies met the eligibility criteria and entered the review. RESULTS: Among JAK inhibitors, oral tofacitinib was the most frequently reported and the most effective treatment in improving signs and symptoms of CA with minimal adverse effects (AEs). Baricitinib was another JAK inhibitor with sustained improvement while causing mild AEs. As a TNF inhibitor, adalimumab induced a rapid and stable improvement in signs and symptoms in most patients with rare, tolerable AEs. Thalidomide was the other frequently reported yet controversial TNF inhibitor, which caused a rapid and significant improvement in the condition. However, it may result in mild to severe AEs, particularly neuropathies. Infliximab is a TNF inhibitor with mostly favorable results, albeit in a few patients caused treatable dermatological AEs. Apremilast and certolizumab pegol caused an incomplete amelioration of signs and symptoms with no AEs. Lenalidomide is another TNF inhibitor that can induce temporary improvement in CA with probable AEs. It is noteworthy that utilizing adalimumab, infliximab, etanercept, golimumab, and an anonymous TNF inhibitor has induced paradoxical CA and other A.E.s in some patients. CONCLUSION: Recent studies have recommended JAK and TNF inhibitors, especially oral tofacitinib and adalimumab, as a new modality or adjuvant therapy to previous medications for primary CA. Nonetheless, monitoring AEs on a regular basis is suggested, and further extensive studies are required before definitive recommendations.

Autologous adipose tissue injection in the treatment of alopecia: A mini-review.

BACKGROUND: Alopecia may decrease patients' quality of life and self-confidence by limiting their social life. Therefore, the main goal of the treatment is to limit or halt the progression of inflammation, scarring, and hair loss. The promising effect of fat injection on hair regrowth, limited adverse effects, and subsiding inflammation can be proof of its efficacy and safety in treating alopecia. AIMS: This review sought to assess the role of autologous fat tissue injection in scarring and non-scarring alopecia. METHODS: Accordingly, a thorough search was performed on the Web of Science, Scopus, and PubMed/Medline databases, as well as the Google Scholar search engine, for studies published from inception until September 1st, 2023, using the related keywords. RESULTS: Autologous fat grafting (AFG) is a novel and potentially effective modality for treating alopecia, particularly primary and secondary cicatricial alopecia. AFG can be an effective semi-invasive option for treating refractory lichen planopilaris because it induces angiogenesis, which supports hair regrowth. In addition to cicatricial alopecia, AFG held promise for treating non-scarring alopecia, including androgenic alopecia and alopecia areata. The adipose-derived regenerative cells (ADRCs) in adipose tissue (AT) secrete different growth factors, further supporting hair regeneration. Moreover, different anti-inflammatory and anti-oxidative agents are known in AT, preventing further damage to hair follicles. CONCLUSIONS: AFG can significantly control inflammatory processes, improve signs and symptoms, and increase hair density and diameter.

Obesity as an independent risk factor for COVID-19 severity and mortality.

BACKGROUND: Since December 2019, the world has struggled with the COVID-19 pandemic. Even after the introduction of various vaccines, this disease still takes a considerable toll. In order to improve the optimal allocation of resources and communication of prognosis, healthcare providers and patients need an accurate understanding of factors (such as obesity) that are associated with a higher risk of adverse outcomes from the COVID-19 infection. OBJECTIVES: To evaluate obesity as an independent prognostic factor for COVID-19 severity and mortality among adult patients in whom infection with the COVID-19 virus is confirmed. SEARCH METHODS: MEDLINE, Embase, two COVID-19 reference collections, and four Chinese biomedical databases were searched up to April 2021. SELECTION CRITERIA: We included case-control, case-series, prospective and retrospective cohort studies, and secondary analyses of randomised controlled trials if they evaluated associations between obesity and COVID-19 adverse outcomes including mortality, mechanical ventilation, intensive care unit (ICU) admission, hospitalisation, severe COVID, and COVID pneumonia. Given our interest in ascertaining the independent association between obesity and these outcomes, we selected studies that adjusted for at least one factor other than obesity. Studies were evaluated for inclusion by two independent reviewers working in duplicate.  DATA COLLECTION AND ANALYSIS: Using standardised data extraction forms, we extracted relevant information from the included studies. When appropriate, we pooled the estimates of association across studies with the use of random-effects meta-analyses. The Quality in Prognostic Studies (QUIPS) tool provided the platform for assessing the risk of bias across each included study. In our main comparison, we conducted meta-analyses for each obesity class separately. We also meta-analysed unclassified obesity and obesity as a continuous variable (5 kg/m2 increase in BMI (body mass index)). We used the GRADE framework to rate our certainty in the importance of the association observed between obesity and each outcome. As obesity is closely associated with other comorbidities, we decided to prespecify the minimum adjustment set of variables including age, sex, diabetes, hypertension, and cardiovascular disease for subgroup analysis.  MAIN RESULTS: We identified 171 studies, 149 of which were included in meta-analyses.  As compared to 'normal' BMI (18.5 to 24.9 kg/m2) or patients without obesity, those with obesity classes I (BMI 30 to 35 kg/m2), and II (BMI 35 to 40 kg/m2) were not at increased odds for mortality (Class I: odds ratio [OR] 1.04, 95% confidence interval [CI] 0.94 to 1.16, high certainty (15 studies, 335,209 participants); Class II: OR 1.16, 95% CI 0.99 to 1.36, high certainty (11 studies, 317,925 participants)). However, those with class III obesity (BMI 40 kg/m2 and above) may be at increased odds for mortality (Class III: OR 1.67, 95% CI 1.39 to 2.00, low certainty, (19 studies, 354,967 participants)) compared to normal BMI or patients without obesity. For mechanical ventilation, we observed increasing odds with higher classes of obesity in comparison to normal BMI or patients without obesity (class I: OR 1.38, 95% CI 1.20 to 1.59, 10 studies, 187,895 participants, moderate certainty; class II: OR 1.67, 95% CI 1.42 to 1.96, 6 studies, 171,149 participants, high certainty; class III: OR 2.17, 95% CI 1.59 to 2.97, 12 studies, 174,520 participants, high certainty). However, we did not observe a dose-response relationship across increasing obesity classifications for ICU admission and hospitalisation. AUTHORS' CONCLUSIONS: Our findings suggest that obesity is an important independent prognostic factor in the setting of COVID-19. Consideration of obesity may inform the optimal management and allocation of limited resources in the care of COVID-19 patients.