Integrative Medicine Research最新文献

Background

Chronic fatigue is a predominant symptom of post COVID-19 condition, or long COVID. We aimed to evaluate the efficacy and safety of Traditional, Complementary and Integrative Medicine (TCIM) for fatigue post COVID-19 infection.

Methods

Ten English and Chinese language databases and grey literature were searched up to 12 April 2023 for randomized controlled trials (RCTs). Cochrane “Risk of bias” (RoB) tool was applied. Evidence certainty was assessed using Grading of Recommendations Assessment, Development, and Evaluation (GRADE). Effect estimates were presented as risk ratio (RR) or mean difference (MD) with 95% confidence interval (CI).

Results

Thirteen RCTs with 1632 participants were included. One RCT showed that Bufei Huoxue herbal capsules reduced fatigue (n=129, MD -14.90, 95%CI -24.53 to -5.27), one RCT reported that Ludangshen herbal liquid lowered fatigue (n=184, MD -1.90, 95%CI -2.38 to -1.42), and the other one RCT shown that fatigue disappearance rate was higher with Ludangshen herbal liquid (n=184, RR 4.19, 95%CI 2.06 to 8.53). Compared to traditional Chinese medicine rehabilitation (TCM-rahab) alone, one RCT showed that fatigue symptoms were lower following Qingjin Yiqi granules plus TCM-rehab (n=388, MD -0.48, 95%CI -0.50 to -0.46). Due to concerns with RoB and/or imprecision, the certainty in this evidence was low to very low. No serious adverse events was reported.

Conclusions

Limited evidence suggests that various TCIM interventions might reduce post COVID-19 fatigue. Larger, high quality RCTs of longer duration are required to confirm these preliminary findings.

Study Registration

The protocol of this review has been registered at PROSPERO: CRD42022384136.

Background

Tagetes erecta Linn, popularly known as Marigold, has various pharmacological effects. It is used as a dietary supplement, especially for the posterior segment of the eye. However, the effect of T. erecta Linn on ocular disorders is still unknown. The purpose of this study was to investigate the effect of oral administration of ethanol extract of T. erecta Linn flower (TE) for dry eye syndrome (DED) in a murine model.

Methods

Twenty-four mice were subjected to desiccation stress (DS) to induce DED and subcutaneous injection of scopolamine hydrobromide was administered 4 times a day for 21 days. TE and cyclosporine A (CsA) were administered for an additional 14 days under DS conditions. Mice were randomly divided into four groups: control, TE200, TE400, and CsA. Changes in tear production and corneal fluorescein staining were measured at baseline, after 7 days of DS, and after treatment for 7 and 14 days.

Results

DS significantly decreased tear production and increased corneal fluorescein score; the parameters were significantly reversed in the TE400 (oral administration of 400 mg TE/kg body weight) group. TE markedly improved DS-induced changes including corneal epithelial detachment and lacrimal gland inflammation. The anti-inflammatory effect of TE 400 supplementation was similar to that of CsA.

Conclusions

Our findings suggest that oral administration of TE may protect against DS-induced DED via stabilization of the tear film and suppression of inflammation. This study provides an experimental basis for further studies on the potential clinical use of TE in preventing DED.

Acupuncture treatment can be defined as a medical procedure with an acupuncture needle at acupoints. Establishing suitable control settings is essential, based on the target elements of the acupuncture therapy. In order to properly design a clinical trial or an experiment, a control group must be established. Here, we overview the significance of the control group and its limitations in acupuncture research. Clinical trials have employed a variety of study designs and controls for acupuncture treatment in order to compare the effects of actual treatments with control groups that include no treatment or treatment as usual, sham acupuncture at true acupoints, real acupuncture at non-acupoints, and sham acupuncture at non-acupoints. In order to determine the point-specificity of acupuncture, real acupuncture at non-acupoints should be taken into consideration, whereas sham acupuncture at the same true acupoints should be used to determine the needling-specific effect of acupuncture. It is crucial to choose the optimum control for acupuncture treatments depending on the study's main goal and to interpret the results in accordance with the research design.

Background

Gongjin-dan (GJD, also known as Gongchen-dan) and Ssanghwa-tang (SHT, also known as Shuanghe-tang or Souwa-to) are herbal medicines that are widely used in Korea for treating fatigue. However, few studies have evaluated the efficacy and safety of GJD and SHT in the treatment of chronic fatigue.

Methods

In this randomized, double-blind, placebo-controlled clinical trial, 90 individuals with persistent (≥6 months) chronic fatigue of unknown cause and a Fatigue Severity Scale (FSS) score of ≥4 were randomly assigned to GJD group, SHT group, and control group in a 1:1:1 ratio. Outcomes were the changes in the self-reported fatigue questionnaire scores, levels of fatigue-related biomarkers and safety assessment.

Results

Out of 103 patients recruited, 90 were included in the analysis. A significant improvement in the Social Functioning (SF) score of Short-Form 36 Health Survey (SF-36) at week 4 was observed in the GJD group; similarly, a significant improvement compared with that in the Control group was observed in the Role Emotional (RE) score of SF-36 at weeks 4 and 6 and the Physical Functioning (PF) score of SF-36 at week 6 in the SHT group. Laboratory tests revealed no abnormalities, and serious intervention-related adverse events were not reported.

Conclusions

It is suggested that SHT can effectively treat chronic mental and physical fatigue, whereas GJD can effectively treat chronic mental and social fatigue. Furthermore, this study presents evidence supporting the safety of the long-term use of GJD and SHT (up to 4 weeks).

Trial registration

This study was registered at Clinical Research Information Service (CRIS) of Korea with the registration number KCT0007515.

The convergence of traditional, complementary, and integrative medicine (TCIM) with artificial intelligence (AI) is a promising frontier in healthcare. TCIM is a patient-centric approach that combines conventional medicine with complementary therapies, emphasizing holistic well-being. AI can revolutionize healthcare through data-driven decision-making and personalized treatment plans. This article explores how AI technologies can complement and enhance TCIM, aligning with the shared objectives of researchers from both fields in improving patient outcomes, enhancing care quality, and promoting holistic wellness. This integration of TCIM and AI introduces exciting opportunities but also noteworthy challenges. AI may augment TCIM by assisting in early disease detection, providing personalized treatment plans, predicting health trends, and enhancing patient engagement. Challenges at the intersection of AI and TCIM include data privacy and security, regulatory complexities, maintaining the human touch in patient-provider relationships, and mitigating bias in AI algorithms. Patients' trust, informed consent, and legal accountability are all essential considerations. Future directions in AI-enhanced TCIM include advanced personalized medicine, understanding the efficacy of herbal remedies, and studying patient-provider interactions. Research on bias mitigation, patient acceptance, and trust in AI-driven TCIM healthcare is crucial. In this article, we outlined that the merging of TCIM and AI holds great promise in enhancing healthcare delivery, personalizing treatment plans, preventive care, and patient engagement. Addressing challenges and fostering collaboration between AI experts, TCIM practitioners, and policymakers, however, is vital to harnessing the full potential of this integration.

This article - Recommendations and Guidelines of Integrative Medicine (IM) for COVID-19 Care - was one of the outcomes from an Asia-Pacific Economic Cooperation (APEC) Project (Integrative Medicine (IM) and COVID -19 Care) during the time between May 2022 and March 2023. With the efforts from care providers, researchers, health policy makers and healthcare administrative leaders among APEC economies, the purpose of this file was to provide comprehensive IM systems for COVID-19 care as recommendations and suggestive guidelines including care methods, tools, procedures, symptom conditions and targets selections, and points need to be considered during care applications. All cited COVID-19 care practices have confirmed their efficacy and usefulness either used alone or combined with conventional medicine. This article provides current useful medical information on IM for COVID-19 care which could benefit APEC economies and world health communities on their healthcare system.

Background

Hashimoto's thyroiditis (HT) has a high incidence rate and unresolved clinical symptoms. Although Hand Yangming Meridian Penetrating Acupuncture has been used to treat thyroid diseases in China, there is no randomized controlled trial (RCT) on HT.

Methods

This exploratory RCT aims to preliminarily evaluate the efficacy, safety, and feasibility of Hand Yangming Meridian Penetrating Acupuncture in the treatment of HT. Included subjects were randomly assigned to the acupuncture group and the waiting treatment group at a ratio of 1:1. Subjects in the acupuncture group received 16 weeks of acupuncture treatment, followed by a 16-week follow-up observation phase. Subjects in the waiting group received thyroxine supplementation for 16 weeks, followed by 16 weeks of compensation treatment. Serum thyroid peroxidase antibody (TPOab) and thyroglobulin antibody (TGab) levels were the main indicators, and Thyroid-Related Patient-Reported Outcome short form (ThyPRO-39), MOS Item Short Form Health Survey (SF-36), and Hospital Anxiety and Depression Scale (HADS) scores were also recorded.

Results

In total, 58 subjects were included. After 16 weeks of treatment, there was no statistical difference in the changes in TPOab levels between the two groups, but the TGab level in the acupuncture group was significantly lower than in the waiting group (difference: −141.97 [95 % CI: −222.4 to −61.5], P = 0.011). Moreover, the total ThyPRO-39 and SF-36 scores were statistically different between the two groups (P_ThyPRO-39 < 0.001, P_SF-36 = 0.005). There was no statistical difference in HADS between the two groups.

Conclusions

Hand Yangming Meridian Penetrating Acupuncture may be safe and feasible for HT hypothyroidism to improve symptoms and reduce TGab levels.

Trial registration number

This trial was registered at Acupuncture-Moxibustion Clinical Trial Registry: AMCTR-IOR-19000308 (ChiCTR1900026830, https://www.chictr.org.cn/searchprojEN.html).

Background

The integration of acupuncture with intramuscular injection of diclofenac sodium can expedite the onset of analgesia in treating acute renal colic caused by urolithiasis. However, it remains unclear whether acupuncture can accelerate pain relief constantly until complete remission. This study aimed to explore the extent to which acupuncture can expedite the onset time of response or complete pain relief in treating acute renal colic, and the predictive value of patient characteristics for treatment efficacy.

Methods

This secondary analysis utilized data from a prior randomized controlled trial. Eighty patients with acute renal colic were randomly assigned 1:1 to the acupuncture group or the sham acupuncture group. After intramuscular injection of diclofenac sodium, acupuncture or sham acupuncture was delivered to patients. The outcomes included time to response (at least a 50 % reduction in pain) and complete pain relief. Between-group comparison under the 2 events was estimated by Kaplan-Meier methodology. Subgroup analysis was performed utilizing the Cox proportional hazards model.

Results

The median response time and complete pain relief time in the acupuncture group were lower than those in the sham acupuncture group (5 vs 30 min, Log Rank P < 0.001; 20 min vs not observed, Log Rank P < 0.001, respectively). Hazard Ratios (HRs) for response across all subgroups favored the acupuncture group. All HRs for complete pain relief favored acupuncture, expect large stone and moderate pain at baseline. No interaction was found in either event.

Conclusion

Acupuncture can accelerate the response time and complete pain relief time for patients with acute renal colic, with the efficacy universally.

Trial registration

This study has been registered at Chinese Clinical Trial Registry: ChiCTR1900025202.

Background

Cancer cachexia—characterized by anorexia, body weight loss, skeletal muscle atrophy, and fat loss—affects nearly 80% of cancer patients and accounts for 20% of cancer deaths. Curcuma xanthorrhiza, known as Java turmeric, and its active compound xanthorrhizol (XAN) exhibit anticancer, anti-inflammatory, and antioxidant properties. However, the ameliorative effects of C. xanthorrhiza extract (CXE) and XAN on cancer-associated adipose atrophy remain unexplored. This study aimed to evaluate the therapeutic effects of CXE and XAN on cancer cachexia-induced adipose tissue wasting in CT26 tumor-bearing mice.

Methods

CT26 cells were injected subcutaneously into the right flank of BALB/c mice to establish a cancer cachexia model. To evaluate the inhibitory effects of CXE and XAN on cancer cachexia, 50 and 100 mg/kg CXE and 15 mg/kg XAN were administered orally every day for 1 week.

Results

CXE and XAN administration significantly attenuated the loss of body weight and epidydimal fat mass by cancer cachexia. In epididymal adipose tissues, administration of CXE or XAN inhibited white adipose tissue browning by repressing expression of the thermogenic genes. Simultaneously, CXE or XAN attenuated fat catabolism through the downregulation of lipolytic genes. The administration of CXE or XAN induced the expression of genes associated with adipogenesis and lipogenesis-related genes. Moreover, CXE or XAN treatment was associated with maintaining metabolic homeostasis; regulating the expression of adipokines and AMP-activated protein kinase (AMPK).

Conclusions

CXE and XAN mitigate cancer-induced adipose tissue atrophy, primarily by modulating lipid metabolism and WAT browning, indicating their therapeutic potential for cachectic cancer patients.

Background

With the development of traditional Chinese medicine (TCM) syndrome knowledge accumulation and artificial intelligence (AI), this study proposes a holistic TCM syndrome differentiation model for the classification prediction of multiple TCM syndromes based on deep learning and accelerates the construction of modern foundational TCM equipment.

Methods

We searched publicly available TCM guidelines and textbooks for expert knowledge and validated these sources using ten-fold cross-validation. Based on the BERT and CNN models, with the classification constraints from TCM holistic syndrome differentiation, the TCM-BERT-CNN model was constructed, which completes the end-to-end TCM holistic syndrome text classification task through symptom input and syndrome output. We assessed the performance of the model using precision, recall, and F1 scores as evaluation metrics.

Results

The TCM-BERT-CNN model had a higher precision (0.926), recall (0.9238), and F1 score (0.9247) than the BERT, TextCNN, LSTM RNN, and LSTM ATTENTION models and achieved superior results in model performance and predictive classification of most TCM syndromes. Symptom feature visualization demonstrated that the TCM-BERT-CNN model can effectively identify the correlation and characteristics of symptoms in different syndromes with a strong correlation, which conforms to the diagnostic characteristics of TCM syndromes.

Conclusions

The TCM-BERT-CNN model proposed in this study is in accordance with the TCM diagnostic characteristics of holistic syndrome differentiation and can effectively complete diagnostic prediction tasks for various TCM syndromes. The results of this study provide new insights into the development of deep learning models for holistic syndrome differentiation in TCM.