{"id":1614,"date":"2025-08-20T10:37:07","date_gmt":"2025-08-20T01:37:07","guid":{"rendered":"https:\/\/lmi.jp\/articles\/?p=1614"},"modified":"2025-11-26T14:32:38","modified_gmt":"2025-11-26T05:32:38","slug":"clinico-laboratory-and-histological-characteristics-in-patients-with-gelatinous-transformation-of-bone-marrow","status":"publish","type":"post","link":"https:\/\/lmi.jp\/articles\/2025\/08\/20\/clinico-laboratory-and-histological-characteristics-in-patients-with-gelatinous-transformation-of-bone-marrow\/","title":{"rendered":"Clinico-laboratory and histological characteristics in patients with gelatinous transformation of bone marrow"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong><a href=\"https:\/\/lmi.jp\/articles\/?s=Sarina+Takeuchi\" target=\"_blank\" rel=\"noreferrer noopener\">Sarina Takeuchi<\/a><\/strong>*<sup>1<\/sup>, <strong><a href=\"https:\/\/lmi.jp\/articles\/?s=Mayuko+Ichimura+Shimizu\" target=\"_blank\" rel=\"noreferrer noopener\">Mayuko Ichimura Shimizu<\/a><\/strong>*<sup>2<\/sup>, <strong><a href=\"https:\/\/lmi.jp\/articles\/?s=Satoshi+Sumida\" target=\"_blank\" rel=\"noreferrer noopener\">Satoshi Sumida<\/a><\/strong>*<sup>2<\/sup>, <a href=\"https:\/\/lmi.jp\/articles\/?s=Koichi+Tsuneyama\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Koichi Tsuneyama<\/strong><\/a>*<sup>2<\/sup>, <a href=\"https:\/\/lmi.jp\/articles\/?s=Mai+Kanai\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Mai Kanai<\/strong><\/a>*<sup>3<\/sup>, <strong><a href=\"https:\/\/lmi.jp\/articles\/?s=Shunsuke+Watanabe\" target=\"_blank\" rel=\"noreferrer noopener\">Shunsuke Watanabe<\/a><\/strong>*<sup>4<\/sup>, <a href=\"https:\/\/lmi.jp\/articles\/?s=Takahiko+Kasai\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Takahiko Kasai<\/strong><\/a>*<sup>4<\/sup>, &nbsp;<a href=\"https:\/\/lmi.jp\/articles\/?s=Michiko+Yamashita\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Michiko Yamashita<\/strong><\/a>*<sup>3<\/sup><\/p>\n\n\n\n<div class=\"swell-block-accordion\">\n<details class=\"swell-block-accordion__item\" data-swl-acc=\"wrapper\"><summary class=\"swell-block-accordion__title\" data-swl-acc=\"header\"><span class=\"swell-block-accordion__label\"><span style=\"--the-icon-svg: url(data:image\/svg+xml;base64,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)\" data-icon=\"Ph1pencilSimple\" data-id=\"0\" aria-hidden=\"true\" class=\"swl-inline-icon\">\u2003  Cite<\/span><\/span><span class=\"swell-block-accordion__icon c-switchIconBtn\" data-swl-acc=\"icon\" aria-hidden=\"true\" data-opened=\"false\"><i class=\"__icon--closed icon-caret-down\"><\/i><i class=\"__icon--opened icon-caret-up\"><\/i><\/span><\/summary><div class=\"swell-block-accordion__body\" data-swl-acc=\"body\">\n<p class=\"wp-block-paragraph\">Takeuchi S, Shimizu MI, Sumida S, Tsuneyama K, Kanai M, Watanabe S, Kasai T, Yamashita M. Clinico-laboratory and histological characteristics in patients with gelatinous transformation of bone marrow. L<br>Lab Med Int 2025; 4(1): 34-45. doi: 10.51041\/lmi.4.1_34<\/p>\n<\/div><\/details>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><br>Original<br>Lab Med Int 2025; 4(1): 34-45<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u2020\u0007Correspondence: Department of Analytical Pathology, Graduate School of Biomedical Sciences, Tokushima University, 3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan.<br>E-mail: yamashitar&#8221;@&#8221;tokushima-u.ac.jp<br>Received February 27, 2024; accepted December 9, 2024<br><span class=\"swl-fz u-fz-xs\"><strong>*1 \u0007Department of Diagnostic Pathology, Tokushima Prefectural Central Hospital, 1-10-3, Kuramoto-cho, Tokushima-city, Tokushima 770-8539, Japan<br>*2 \u0007Department of Pathology and Laboratory Medicine. Graduate School of Biomedical Sciences, Tokushima University, 3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan<br>*3 \u0007Department of Analytical Pathology, Graduate School of Biomedical Sciences, Tokushima University, 3-18-15, Kuramoto-cho, Tokushima-city, Tokushima 770-8503, Japan<br>*4 \u0007Department of Diagnostic Pathology, Japanese Red Cross Tokushima Hospital, 103, Irinokuchi, Komatsushima-cho, Komatsushima-city, Tokushima 773-8502, Japan<\/strong><\/span><\/p>\n\n\n\n<div class=\"swell-block-button is-style-more_btn\"><a href=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/07\/06_original_\u5c71\u4e0b\u7406\u5b50\u5148\u751f.pdf\" target=\"_blank\" rel=\"noopener noreferrer\" class=\"swell-block-button__link\"><span>Download PDF<\/span><\/a><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>ABSTRACT<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Gelatinous transformation\uff08GT\uff09is morphological change of fat tissue that reflects malnutrition. In bone marrow with GT, gelatinous deposits occupying hematopoietic space result in hypocellularity. Therefore, GT is presumed to be a cause of secondary anaemia. To characterise clinical feature, laboratory data and histology in patients with bone marrow GT, we enrolled 104 patients who were autopsied at Tokushima University Hospital and Tokushima Red Cross Hospital between August 2015 and July 2020. The patients were aged 71.7\u00b111.4 years\uff0869.2% male individuals\uff09. Fifty-eight patients\uff0855.8%\uff09had malignant disease. Bone marrow and liver steatosis and medical records were retrospectively studied. Clinical data and basic blood and urine parameters prior to 3 weeks before death were analysed. Eighteen\uff0817%\uff09patients were assigned to the GT group. In this group, two\uff0811.1%\uff09cases were complicated by bone marrow fibrosis. Immunohistochemically, C-X-C motif chemokine ligand 12\uff08CXCL12\uff09-positive stromal cells were present in the GT marrow area; however, the number of stellate-shaped reticular cells with projections strongly positive for CXCL12 was reduced. Statistically, GT was not associated with malignant disease, liver fibrosis, or steatosis. In the GT group, serum creatinine was significantly lower than that in the non-GT group\uff08median 0.75 mg\/dL, IQR 0.61\u20131.17, <em>p<\/em>=0.047\uff09. The body mass index and geriatric nutritional risk index were also significantly lower in the GT group\uff08median 18.6, IQR 17.3\u201319.9, <em>p<\/em>&lt;0.001; median 66.8, IQR 61.9\u201370.6, <em>p<\/em>=0.002, respectively\uff09. These results suggest that bone marrow GT indicates protein-energy malnutrition with muscle loss, but not with anaemia.<\/p>\n\n\n\n<p class=\"has-text-align-right wp-block-paragraph\">\u3014Lab Med Int 2025; 4(1): 34-45\u3015<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Key Words<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><br>gelatinous transformation, serum creatinine, bone marrow<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>I. Introduction<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Gelatinous transformation\uff08GT\uff09is known as a representative histologic finding related to malnutrition.<sup><strong>1\uff09\u20133\uff09<\/strong><\/sup> Synonyms for GT include \u201cgelatinous degeneration\u201d and \u201cserous atrophy.\u201d<sup>4\uff09<\/sup> Bone marrow with significant GT is called \u201cgelatinous marrow\u201d or \u201cstarvation marrow.\u201d In GT of the bone marrow, mucopolysaccharides rich in hyaluronic acid deposit around the fat cells and make the hematopoietic space narrow, leading to hypocellularity; therefore, GT is believed to be a finding of secondary anaemia.<br>In 2000, B\u00f6hm<sup><strong>3\uff09<\/strong><\/sup> examined the underlying diseases in 155 cases of GT and identified the following causes: tumours\uff08including hematologic malignancies and carcinomas\uff09, malnutrition\uff08including alcoholism and anorexia nervosa\uff09, infections\uff08including AIDS and active fevers\uff09, maldigestion\uff08including stomach ulcers and post-gastrectomy\uff09, heart failure, metabolic disorders\uff08including diabetes mellitus and hypothyroidism\uff09, and others. Weight loss or cachexia was found in 78% of the patients and 82% were anaemic. B\u00f6hm<sup> <strong>3\uff09<\/strong><\/sup> concluded that GT represents an indicator of severe illness in patients and that basic bioregulatory processes play a role in its pathogenesis.<br>However, most bone marrow examinations are performed in the presence of abnormal blood cell counts; thus, investigations using surgical material may have a bias towards anaemia. Many studies that consider anaemia as the basis for GT have been published;<sup> <strong>3\uff095\uff096\uff09<\/strong><\/sup> however, the correlation between GT and anaemia remains controversial.<br>The purpose of this study is to clarify the relationship between GT and organ failure and the type of PEM by retrospective observation. We also examined the status of hematopoiesis associated mesenchymal cells in GT bone marrow by immunostaining.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>II. Materials and Methods<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>2. 1. Participants<\/em><\/strong><br>Of the 205 patients who underwent autopsies at Tokushima University Hospital and Tokushima Red Cross Hospital between August 2015 and July 2020, 104 participants aged 18 years or older who had their bone marrow collected were enrolled\uff08<strong>Figure 1<\/strong>\uff09. The enrolled participants\u2019 mean age was 71.7\u00b111.4 years and 69.2% were male. Fifty-eight\uff0855.8%\uff09patients had malignant disease, of whom 42\uff0840.4%\uff09had solid tumours and 16\uff0815.4%\uff09had haematolymphoid tumours. The exclusion criteria were patients for whom no laboratory data existed 3 weeks before autopsy and pathology specimens could not be prepared due to poor fixation and decalcification. This study was approved by the Ethics Committees of the University of Tokushima Hospital\uff08Application No. 3869-2\uff09and the requirement for informed consent was waived as no personal information was disclosed.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>2. 2. Clinical data<\/em><\/strong><br>Data on height, weight, clinical diagnosis, and autopsy diagnosis of malignancy at the last admission were collected.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>3. 3. Laboratory data<\/em><\/strong><br>Laboratory data 3 weeks before autopsy was obtained. The following blood laboratory parameters were evaluated: white blood cell, total neutrophil, total lymphocyte, red blood cell, and platelet counts; haemoglobin, aspartate aminotransferase, alanine transaminase, alkaline phosphatase, gamma-glutamyl transpeptidase, total bilirubin, total cholesterol, triglyceride, cholinesterase, albumin, total protein, globulin, creatinine, uric acid, and C-reactive protein levels; and the amount of urine protein and occult blood. For each test item, sample size calculation or power analysis was performed. Blood test data were evaluated based on previous studies on reference values for Japanese<sup> <strong>7\uff09<\/strong><\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>2. 4. Calculation of nutrition indices<\/em><\/strong><br>The body mass index\uff08BMI\uff09<sup><strong>8\uff09<\/strong><\/sup>, prognostic nutritional index\uff08PNI\uff09<sup><strong>9\uff09<\/strong><\/sup>, and geriatric nutritional risk index\uff08GNRI\uff09<sup><strong>10\uff09<\/strong><\/sup> were used as nutritional indices. The calculation formulae are as follows:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">BMI = weight \uff08kg\uff09\/ \uff3bheight \uff08m\uff09\uff3d<sup><strong>2\uff09<\/strong><\/sup>&nbsp;<br>PNI = \uff3b10\u00d7serum albumin \uff08g\/dL\uff09\uff3d + \uff3b0.005\u00d7Total lymphocyte count \uff08\/mm<sup>3<\/sup>\uff09\uff3d&nbsp;<br>GNRI = \uff3b14.89\u00d7serum albumin \uff08g\/dL\uff09\uff3d + \uff3b41.7\u00d7\uff08weight kg \/ ideal weight kg\uff09\uff3d&nbsp;<br>*Formula for calculating ideal weight:<br>Male: height \uff08cm\uff09-100-\uff3b\uff08height-150\uff09\/ 4\uff3d&nbsp;<br>Female: height \uff08cm\uff09-100-\uff3b\uff08height-150\uff09\/ 2.5\uff3d&nbsp;<br>BMI was evaluated based on previous studies on reference values for Asians<sup> <strong>11\uff09<\/strong><\/sup>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>2.5.1<br>Assessment of bone marrow and liver pathology&nbsp;<\/em><\/strong><br>Bone marrow specimens were sampled from the L1-2 level vertebra. Ethylenediaminetetraacetic acid decalcification was performed. Haematoxylin and eosin staining and pH 2.5 Alcian blue staining with the hyaluronidase digestion test were performed on thin sections of 10% formalin or 10% neutral buffered formalin-fixed paraffin-embedded blocks, along with the assessment of the percentage and extent of the areas of GT.&nbsp;<br>GT cases were recorded at five levels, as described in a previous study. The grading was as follows: Max, diffuse marrow involvement; 3+, large foci; 2+, focal lesions of intermediate size; 1+, single microfocal involvement; and 0, no involvement<sup><strong> 3\uff09<\/strong><\/sup>. The degree of hypocellular marrow with hyaluronidase-reactive pH 2.5 Alcian blue-positive deposits was defined as 2+ or higher and divided into the gelatinous marrow group and the no-change group. Watanabe\u2019s silver impregnation staining was performed in cases where fibrosis was suspected.<br>For the assessment of liver pathology, two pathologists separately observed non-neoplastic area of haematoxylin-eosin-stained microscopic specimen to determine if there were significant steatosis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>2. 5. 2 Immunohistochemical study<\/em><\/strong><br>All immunohistochemical staining was performed on formalin-fixed paraffin-embedded blocks tissue sections using a Histofine simple stain AP\uff08R\uff09kit and simple stain MAX-PO\uff08M\uff09, followed by a new fuchsin substrate solution kit and a diaminobenzide solution kit\uff08Nichirei Bioscience, Tokyo, Japan\uff09. The following primary antibodies were used: stromal cell-derived factor 1\/CXCL12 and rabbit monoclonal\uff08immunohistochemistry-specific\uff09 clone D8G6H, 1:300\uff08Cell Signaling Technology, Danvers, MA, USA\uff09; CD10, mouse monoclonal, clone 56C6; CD68, mouse monoclonal; and clone PG-M1 ready-to-use \uff08Nichirei Bioscience, Tokyo, Japan\uff09.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong><em>2. 6. Statistical analyses<\/em><\/strong><br>The characteristics of patients with and without GT were compared using the chi-square test for categorical variables and the Mann\u2013Whitney U test for continuous variables. Logistic regression analysis was used to assess the age- and sex-adjusted effect of each baseline characteristic: age, sex, malignancy, fatty or fibrous degeneration of the liver, and the presence of GT. Box and whiskers plots were used to evaluate median and interquartile ranges of each parameter. Statistical analyses were performed using R software version 4.2.1 \uff08R Core Team, Vienna, Austria\uff09<sup><strong>12\uff09<\/strong><\/sup>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"932\" height=\"1386\" src=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/1-3.jpg\" alt=\"\" class=\"wp-image-1620\" srcset=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/1-3.jpg 932w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/1-3-202x300.jpg 202w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/1-3-689x1024.jpg 689w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/1-3-768x1142.jpg 768w\" sizes=\"(max-width: 932px) 100vw, 932px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><strong>Figure 1 <\/strong>Trial profile. GT, gelatinous transformation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>III. Results<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The baseline patient characteristics are shown in <strong>Table 1.<\/strong> Of the 104 participants enrolled, 18\uff0817%\uff09were classified as having bone marrow GT. The histopathological findings and case distribution are shown in <strong>Figure 2. <\/strong>15\/18\uff0883%\uff09patients had patchy GT lesions. Atrophy of fat cells and hypocellularity were observed within the GT area. There were two cases of bone marrow fibrosis coexisting with GT\uff08<strong>Figure 3<\/strong>\uff09. In the complicated area, there was an increase in reticular cells, a mild increase in collagen fibres, and hyaluronidase digestion-reactive mucopolysaccharide deposition. Spindle cells in the fibrotic area were immunoreactive for CXCL12, CD10, and CD68.<br>CXCL12 is a chemokine that is widely expressed in a variety of stromal cells<sup> <strong>13\uff09-14\uff09<\/strong><\/sup>, reticulocytes expressing high levels of CXCL12 are called CXCL12-abundant reticular cells\uff08CAR cells\uff09, which provide a haematopoietic environment for hematopoietic stromal cells and are themselves mesenchymal stem cells<sup> <strong>15\uff09-16\uff09<\/strong><\/sup>. CAR cells were observed in various patterns, such as polygonal, stellate, spindle, and small round, and in the peri-adipose and peri-endothelial in normal\uff08<strong>Figure 4A<\/strong>\uff09and GT marrows\uff08<strong>Figure 4B, C, D<\/strong>\uff09.&nbsp;<br>CD68\uff08PGM-1\uff09 is a specific marker for monocytes and histiocytes<sup><strong> 17\uff09<\/strong><\/sup>. CD68 immunoreactive small round cells, mostly consistent with monocytes and stellate and spindle cells represented a part of the reticular cells and may have included CAR cells, and the giant cells were consistent with osteoclasts\uff08<strong>Figure 4E<\/strong>\uff09.&nbsp;<br>CD10 is the enzyme primarily responsible for preadipocytes and adipocytes<sup> <strong>18\uff09<\/strong><\/sup>. CD10 positivity was observed in the adipocytes. CD10 was also immunoreactive to spindle cells, consistent with some of the reticular cells and preadipocytes\uff08<strong>Figure 4F<\/strong>\uff09<br>CXCL12-CD68 co-expression in reticular cells was observed in the hematopoietic area, although the co-expressed stellate cells decreased in the GT area. Reticular cells with CXCL12-abundant long projections were consistent with CAR cells\uff08<strong>Figure 5<\/strong>\uff09. These findings suggested that CAR cells, as mesenchymal stem cells, differentiate into fibroblasts, monocytes, macrophages, and adipocytes in the altered bone marrow, leading to hypocellularity.<br>A comparison between the GT and non-GT groups is presented in <strong>Table 1.<\/strong> GT was not significantly correlated to age or sex, nor presence or absence of malignancy. Both the GT and non-GT groups were anaemic; RBC \uff083.08 vs 3.12 10<sup>12<\/sup>\/L \uff3bmale 4.35-5.55, female 3.86-4.92\uff3d\uff09, Haemoglobin\uff0892 vs 95 g\/L \uff3bmale 137-168, female 116-148\uff3d\uff09, and had increased white blood cell counts and positive CRP levels\uff087.3 vs 6.1 mg\/dL, 73000 vs 61000 \u03bcg\/L\uff09, but there were no significant differences.<br>Fatty degeneration of the liver was observed in nearly half of the patients in both groups, seemed to suggest steatohepatitis due to nutritional disorders, but there was no significant difference between the two groups. In both groups, Gamma-glutamyl transpeptidase level was above the reference range \uff3bmale13-64, female 9-32\uff3d, but median total bilirubin remained in the reference standard range \uff3b0.4-1.5mg\/dL, 6.8-26.3\u00b5mol\/L\uff3d. Median ALT, suggestive of hepatocellular damage, was slightly higher than the reference range \uff3b24.5 vs 34.0 IU\/L male10-42, female 7-23 IU\/L\uff3d, reflecting organ damage immediately before death, but was lower in the GT group than in the non-GT group, with no significant difference between the two groups \uff3b24.5 vs 34.0 IU\/L\uff3d.<br>Median serum creatinine \uff08sCr\uff09 in the non-GT group was high \uff081.42 mg\/dL \uff3bmale 0.66-1.06, female 0.46-0.79\uff3d; 66.3 vs. 126 \u00b5mol\/L \uff3bmale 72.7-109.1, female 54.5-81.8\uff3d\uff09. reflects various renal dysfunctions immediately prior to death, while median sCr in the GT group was in the reference range\uff080.75 mg\/dL, 66.3 \u00b5mol\/L\uff09. The GT group also had significantly lower sCr levels than the non-GT group \uff08p=0.047\uff09. The sCr level 3 weeks before death are significantly lower in GT group, after adjusting the age- and sex \uff08p=0.042\uff09.<br>Both groups had low median albumin level\uff0819 vs. 23 g\/L \uff3b41-51\uff3d\uff09and The GT group tended to have lower albumin than the non-GT group\uff08p=0.066\uff09. Similarly, both groups had lower BMI \uff0818.6 vs. 21.9 kg\/m<sup>2<\/sup> \uff3b22.6-27.5\uff3d\uff09, and GNRI\uff0866.8 vs.75.9 kg\/m<sup>2<\/sup>\uff09, but the GT group had significantly lower BMI and GNRI than the non-GT group \uff08p&lt;0.001 and p=0.002, respectively\uff09. The exact data are shown in<strong> Figure 6<\/strong>.<\/p>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><strong>Table 1<\/strong> Baseline characteristics and comparison between the GT and non-GT groups<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1914\" height=\"2560\" src=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/2-3-scaled.jpg\" alt=\"\" class=\"wp-image-1626\" srcset=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/2-3-scaled.jpg 1914w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/2-3-224x300.jpg 224w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/2-3-766x1024.jpg 766w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/2-3-768x1027.jpg 768w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/2-3-1148x1536.jpg 1148w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/2-3-1531x2048.jpg 1531w\" sizes=\"(max-width: 1914px) 100vw, 1914px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">GT, gelatinous transformation; IQR, interquartile range; WBC, white blood cell; RBC, red blood cell; TC, total cholesterol; TG, triglyceride; CRP, C-reactive protein; BMI, body mass index; PNI, prognostic nutritional index, GNRI, geriatric nutritional risk index.<br>*aMann\u2013Whitney U tests were used for continuous variables; Chi-square tests were used for categorical variables. \u2020bGlobulin: (Total protein)-(Albumin).<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"635\" height=\"1024\" src=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/3-3-635x1024.jpg\" alt=\"\" class=\"wp-image-1625\" srcset=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/3-3-635x1024.jpg 635w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/3-3-186x300.jpg 186w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/3-3-768x1238.jpg 768w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/3-3-953x1536.jpg 953w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/3-3-1270x2048.jpg 1270w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/3-3.jpg 1312w\" sizes=\"(max-width: 635px) 100vw, 635px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><strong>Figure 2<\/strong> Histological grading of gelatinous transformation(scale bar=200 \u03bcm).<\/p>\n\n\n\n<p class=\"has-text-align-left wp-block-paragraph\">GT areas are patchily distributed in most cases. HE, haematoxylin-eosin staining; Al-b, pH 2.5 Alcian blue staining; GT,<br>gelatinous transformation.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1888\" height=\"2316\" src=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/4-2.jpg\" alt=\"\" class=\"wp-image-1624\" srcset=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/4-2.jpg 1888w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/4-2-245x300.jpg 245w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/4-2-835x1024.jpg 835w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/4-2-768x942.jpg 768w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/4-2-1252x1536.jpg 1252w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/4-2-1670x2048.jpg 1670w\" sizes=\"(max-width: 1888px) 100vw, 1888px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><strong>Figure 3<\/strong> Microscopic findings of GT with fibrosis cases\uff08 A: scale bar=100 \u03bcm, B\u2500F: scale bar=50 \u03bcm).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A. Haematoxylin-eosin staining. Bone and fibrous materials are increased. B. Silver impregnation staining. Brown-black<br>reticular fibres \uff08arrows\uff09 and brown-red collagen fibres \uff08arrowheads) are increased. C. pH 2.5 Alcian blue staining. Blue colour is observed in both the GT and fibrotic area. These are both-hyaluronidase reactive. B, C. Serial sections. Bone tissue is displaced by sectioning artifacts. D. CD10-immunohistochemistry\uff08 IHC). A few spindle cells and fat cells show positivity. E. CD68-IHC. Monocytes, macrophages, periosteal giant cells, and some spindle cells are immunoreactive for CD68. F. CXCL12-IHC. The fibre-like projection of some spindle cells in fibrosis is positive. CXCL12, C-X-C motif chemokine ligand 12; GT, gelatinous transformation.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"1853\" height=\"2250\" src=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/5-2.jpg\" alt=\"\" class=\"wp-image-1623\" srcset=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/5-2.jpg 1853w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/5-2-247x300.jpg 247w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/5-2-843x1024.jpg 843w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/5-2-768x933.jpg 768w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/5-2-1265x1536.jpg 1265w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/5-2-1687x2048.jpg 1687w\" sizes=\"(max-width: 1853px) 100vw, 1853px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><strong>Figure 4 <\/strong>Immunohistochemical findings of GT marrow (scale bar=50 \u03bcm).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A: CXCL12-immunohistochemistry (IHC) in normal control. CXCL12 immunoreactive small round cells (arrowheads)<br>and stellate cells are seen. Long projections of stellate cells among hematopoietic cells are strongly positive (arrows).<br>These may be CAR cells. B \u2500D: CXCL12- IHC in the GT marrow. B, C: CXCL12 positivity is observed in spindle cells<br>(small black arrows), peri-adipose cells (white arrows), and peri-endothelial (black arrows). D: CXCL12 positivity is<br>observed in small round cells (arrowhead), spindle cells (small black arrow), and peri-endothelial area (black arrows),<br>but not for giant cells (double arrowheads). E: CD68-IHC in the GT marrow. Small round cells (arrowheads), spindle<br>cells (small black arrow), and giant cells (double arrowheads) were immunoreactive. The peri-endothelial area (black<br>arrows) and adipose cells (white arrows) were not reactive for CD68. F: CD10-IHC in the GT marrow. Fat cells (white<br>arrows) and spindle cells (small black arrow) are immunoreactive but are not reactive for the peri-endothelial area (black<br>arrows), giant cells (double arrowhead). D \u2500 F are complete serial sections. Bone tissue around the bone marrow tissue is off-screen due to sectioning artifacts. CXCL12, C-X-C motif chemokine ligand 12; CAR cells, C-X-C motif chemokine ligand 12-abundant reticular cells; GT, gelatinous transformation.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"615\" height=\"1024\" src=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/6-2-615x1024.jpg\" alt=\"\" class=\"wp-image-1622\" srcset=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/6-2-615x1024.jpg 615w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/6-2-180x300.jpg 180w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/6-2-768x1279.jpg 768w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/6-2-923x1536.jpg 923w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/6-2.jpg 1140w\" sizes=\"(max-width: 615px) 100vw, 615px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><strong>Figure 5 <\/strong>Double-immunostaining results for CXCL12 and CD68 in GT (scale bar=100 \u03bcm).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A: Haematoxylin-eosin staining of GT marrow. The left half is the normocellular area, and right half is the patchy GT<br>area. B. CXCL12 (red) CD68 (blue black) double immunostaining in the GT marrow. Stellate reticular cells that express<br>CXCL12 in long projections and CD68 in cytoplasm (white arrows) are seen in the normocellular area. Reticular cells<br>have shortened CXCL12-positive projections (arrowheads), and CXCL12-positive small round cells (black arrow) are<br>observed in the GT area. CXCL12, C-X-C motif chemokine ligand 12; GT, gelatinous transformation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>IV. Discussion<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We investigated GT marrow at autopsy and found that the GT area had different reticular cell conditions. And our analysis of clinico-laboratory data of GT and non-GT patients. As previously hypothesized, we confirmed a strong association with malnutrition; however, unlike previous hypotheses<sup> <strong>1\uff09-6\uff09<\/strong><\/sup>, there was weak association with anaemia. Furthermore, we reported interesting phenomenon that the sCr of the GT patients remained in the reference range, even just before death.&nbsp;<br>We speculated that the significantly lower sCr levels had been observed in the GT group from 3 weeks prior form death were related to the presence of muscle loss. Recently low sCr \u201con admission\u201d has been theorized to be related to sarcopenia when other causes can be ruled out<sup> <strong>19\uff09-24\uff09<\/strong><\/sup>. Our series do not have patients with fluid excess condition, myoneuropathy, paralysis or limb amputation. Liver dysfunction was negative in the data analysis, suggesting muscle reduction as a possible cause.&nbsp;<br>Nutrition indicators, both groups had low median BMI, but the GT group had a median value below 2.0 kg\/m<sup>2<\/sup>, which is a poor prognosis for life<sup> <strong>25\uff09-26\uff09<\/strong><\/sup>. Protein-energy malnutrition(PEM)is the condition of lack of energy due to the deficiency of all the macronutrients and<strong> <\/strong>many micronutrients<sup> <strong>27\uff09<\/strong><\/sup>. in recent years, PEM is known as the main cause of sarcopenia; defined as a progressive and generalized skeletal muscle disorder involving the accelerated loss of muscle and its function<sup><strong> 28\uff09-29\uff09<\/strong><\/sup>. In children, marasmic kwashiorkor phenotypes are also present<sup> <strong>26\uff0930\uff09-31\uff09<\/strong><\/sup>, but in adults, which are more common in nutritional disorders in developed countries, there are two major types of PEM: marasmus\/cachexia, and kwashiorkor\/protein-calorie malnutrition(PCM)<sup><strong>27\uff09<\/strong><\/sup>. Marasmus\/cachexia is balanced malnutrition caused by long-standing starvation or chronic systemic inflammation. The prognosis for marasmus\/cachexia is relatively good, although it involves substantial loss of body mass, with body weight less than 80% of the standard for height<sup> <strong>26\uff09-27\uff09<\/strong><\/sup>. Thus, low BMI in our GT group represents marasmus\/cachexia. In contrast, kwashiorkor\/PCM is caused by loss of relative protein intake. In 1933, Williams reported kwashiorkor in children in the Gold Coast of West Africa. Kwashiorkor fatality was as high as 90% and fatty change of the liver was observed in autopsy<sup><strong> 27\uff0930\uff09-31\uff09<\/strong><\/sup>. In developed countries, kwashiorkor\/PCM may occur within weeks of subsequent acute life-threatening illnesses, such as trauma and sepsis. The patients look well-nourished because of systemic oedema; however, their blood shows hypoalbuminemia and lymphocytopenia. Under stressed conditions, patients with kwashiorkor\/PCM show hypermetabolism with high cytokine levels, such as tumour necrosis factor alpha, interleukin-1, and interleukin-6 and high stress hormone levels, such as catecholamine, glucagon, and cortisol, which leads to proteolysis and absolute fat catabolism, poor wound healing, and impaired host deficiency<sup> <strong>26\uff09<\/strong><\/sup>. Considering the significantly lower albumin and higher CRP levels in the GT group, it is likely that the GT have a severe condition of anabolic failure as seen in kwashiorkor\/PCM.&nbsp;<br>In the GT group, except in a small number of maximal cases, the bone marrow hypocellularity associated with GT was patchily distributed and haematopoietic area remained. We consider this histological feature reflects the low association between GT and anaemia. In the GT area, various morphologies of CXCL-12 positive mesenchymal cells co-expressed multiple mesenchymal molecules, such as CD10 or CD68 and CXCL12-abundant projections were less observed. We estimate this histological finding implies CAR cells differentiation and haemopoietic cell depletion<sup><strong> 32\uff09<\/strong><\/sup>. Like GT, Mucopolysaccharide accumulation in deep connective tissue is often observed in myxoedema, a thyroid hormone dysregulation<sup><strong> 33\uff0934\uff09<\/strong><\/sup>. However, the mechanisms and histology of the dysthyroid status have not been adequately reported. The trends in clinical data that were significant in the GT group patients in this study appear to have much in common with thyroid hormone abnormalities, particularly the low T3 syndrome(also known as non-thyroidal disease syndrome).<sup><strong>35\uff09<\/strong><\/sup> It would be beneficial to consider the common features of GT with the low T3 syndrome.<br>A limitation of this study is that the required sample size was not met. The study design, a retrospective observational study, resulted in many missing items like hormone test values. Also, we could not obtain good staining results due to damage from specimen decalcification.&nbsp; we should have performed immunostaining for many bone marrow mesenchymal markers such as leptin, CD163, and adipophilin, but we could not obtain good staining results due to damage from specimen decalcification.<br>In conclusion, 17% of autopsy adult cases had overt GT; 83% had patchy progression. Mesenchymal cells in the GT region co-expressed multiple molecules. Bone marrow GT was associated with low BMI, GNRI, and low sCr level. These results suggest that bone marrow GT is associated with PEM with muscle loss, but not with anaemia.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Acknowledgment<\/strong><br>We would like to thank Professor Ayumi Shintani of Osaka Metropolitan University for organizing the Statistics for Research Skills seminar through the Awa Support Centre.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Funding<\/strong><br>None.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Authorship Contributions<\/strong><br>ST, MY, and TK collected laboratory data and performed statistical analysis; MY supervised the study and analysed bone marrow histopathology; MIS reviewed and interpreted nutritional indices; SS and KT analysed liver histopathology; and MK, ST, and SW prepared pathology specimens. All authors read and approved the final paper.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Disclosure of Conflict of Interest<\/strong><br>The authors declare no conflict of interest.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"844\" height=\"1024\" src=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/7-1-844x1024.jpg\" alt=\"\" class=\"wp-image-1621\" srcset=\"https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/7-1-844x1024.jpg 844w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/7-1-247x300.jpg 247w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/7-1-768x932.jpg 768w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/7-1-1266x1536.jpg 1266w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/7-1-1688x2048.jpg 1688w, https:\/\/lmi.jp\/articles\/wp\/wp-content\/uploads\/2025\/08\/7-1.jpg 1753w\" sizes=\"(max-width: 844px) 100vw, 844px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\"><strong>Figure 6<\/strong> Comparison of each parameter between GT and non-GT groups.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">GT, gelatinous transformation; BMI, body mass index; GNRI, geriatric nutritional risk index; Cr, creatinine; ALB, albumin.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>References<\/strong><\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Michael P. 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